2163 lines
109 KiB
R
2163 lines
109 KiB
R
library(shiny)
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library(DT)
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library(ggplot2)
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library(dplyr)
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library(readr)
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library(Cairo)
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library(ggplot2)
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library(stringi)
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library(stringr)
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library(datetime)
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library(dplyr)
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library(ggthemes)
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library(RMySQL)
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csv_map <- list(
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"最后六周按日统计" = "按日统计0.csv",
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"按月统计" = "按月统计0.csv",
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"按省统计" = "按区域统计0.csv",
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"按小细胞统计" = "按细胞统计0.csv",
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"按仪器统计" = "按仪器统计0.csv",
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"按样本类型统计" = "按样本统计0.csv",
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"按试剂批次统计" = "按批次统计0.csv",
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"按试剂项目统计" = "按项目统计0.csv"
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)
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ui <- fluidPage(
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titlePanel("和迈数据分析平台"),
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sidebarLayout(
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sidebarPanel(
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width = 3, # 设置侧边栏宽度为 2（更小）
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selectInput("stat_dim", "选择统计维度",
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choices = names(csv_map)),
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uiOutput("metric_group"),
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uiOutput("stat_way")
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),
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mainPanel(
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width = 9,
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tabsetPanel(
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tabPanel("数据表格", DTOutput("data_table")),
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tabPanel("图表展示",
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uiOutput("pagination_ui"),
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plotOutput("main_plot"))
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)
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)
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)
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)
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# 定义服务器逻辑
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server <- function(input, output) {
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current_page <- reactiveVal(1)
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output$pagination_ui <- renderUI({
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req(input$stat_dim, input$metric, input$stat_way_sel)
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max_pages <- switch(input$stat_dim,
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"最后六周按日统计" = {
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if (input$stat_way_sel == "按日分省统计") {
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ceiling(length(dfBy区域$省编号) / 6)
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} else if (input$stat_way_sel == "按日分小细胞统计") {
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ceiling(length(细胞0$细胞) / 6)
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} else 1
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},
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"按月统计" = {
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if (input$stat_way_sel == "按月分省统计") {
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ceiling(length(dfBy区域$省编号) / 6)
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} else if (input$stat_way_sel == "按月分小细胞统计") {
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ceiling(length(细胞0$细胞) / 6)
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} else 1
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},
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"按小细胞统计" = 2,
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1)
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if (max_pages > 1) {
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tagList(
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actionButton("prev_page", "上一页"),
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span(paste("第", current_page(), "页 / 共", max_pages, "页")),
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actionButton("next_page", "下一页")
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)
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}
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})
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observeEvent(input$prev_page, {
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if (current_page() > 1) current_page(current_page() - 1)
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})
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observeEvent(input$next_page, {
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max_pages <- switch(input$stat_dim,
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"最后六周按日统计" = {
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if (input$stat_way_sel == "按日分省统计") {
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ceiling(length(dfBy区域$省编号) / 6)
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} else if (input$stat_way_sel == "按日分小细胞统计") {
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ceiling(length(细胞0$细胞) / 6)
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} else 1
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},
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"按月统计" = {
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if (input$stat_way_sel == "按月分省统计") {
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ceiling(length(dfBy区域$省编号) / 6)
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} else if (input$stat_way_sel == "按月分小细胞统计") {
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ceiling(length(细胞0$细胞) / 6)
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} else 1
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},
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"按小细胞统计" = 2,
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1)
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if (current_page() < max_pages) current_page(current_page() + 1)
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})
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# 动态生成第二栏：指标分组
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output$metric_group <- renderUI({
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metric_choices <- switch(input$stat_dim,
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"最后六周按日统计" = list("测试数、阳性数、有效数",
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"阳性率、有效率",
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"批次数、项目数、仪器数",
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"省数、市数、小细胞数、样本数",
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"批次数、项目数、仪器数、样本数"
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),
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"按月统计" = list("测试数、阳性数、有效数",
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"阳性率、有效率",
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"批次数、项目数、仪器数",
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"省数、市数、小细胞数、样本数",
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"批次数、项目数、仪器数、样本数"
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),
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"按省统计" = list("测试数、阳性数、有效数",
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"阳性率、有效率",
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"批次数、项目数、仪器数",
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"市数、小细胞数、样本数",
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"测试截止、测试开始"),
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"按小细胞统计"=list("测试数、阳性数、有效数",
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"阳性率、有效率",
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"批次数、项目数、仪器数",
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"市数、样本数",
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"测试截止、测试开始"),
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"按仪器统计" = list("测试数、阳性数、有效数",
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"批次数、项目数、样本数",
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"阳性率、有效率",
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"测试截止、测试开始"),
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"按样本类型统计" = list("测试数、阳性数、有效数",
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"批次数、省数、项目数、小细胞数",
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"阳性率、有效率",
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"测试截止、测试开始"),
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"按试剂批次统计" = list("测试数、阳性数、有效数",
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"省数、项目数、小细胞数、样本数",
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"阳性率、有效率",
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"测试截止、测试开始"),
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"按试剂项目统计" = list("测试数、阳性数、有效数",
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"批次数、省数、小细胞数、样本数",
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"阳性率、有效率",
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"测试截止、测试开始"))
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selectInput("metric", "选择指标分组", choices = metric_choices)
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})
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# 动态生成第三栏：统计方式
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output$stat_way <- renderUI({
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way_choices <- switch(input$stat_dim,
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"最后六周按日统计" = c("按日分省统计", "全部统计","按日分小细胞统计"),
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"按月统计" = c("按月分省统计", "全部统计","按月分小细胞统计"),
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"按省统计" = "全部统计",
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"按小细胞统计" = "全部统计",
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"按仪器统计" = "全部统计",
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"按样本类型统计" = "全部统计",
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"按试剂批次统计" = "全部统计",
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"按试剂项目统计"="全部统计")
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if (is.character(way_choices)) {
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selectInput("stat_way_sel", "选择统计方式", choices = way_choices)
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} else {
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NULL
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}
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})
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data_raw <- reactive({
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read_csv(csv_map[[input$stat_dim]])
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})
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# 生成数据表格
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output$data_table <- renderDT({
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datatable(data_raw(), options = list(pageLength = 10))
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})
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# 生成图表
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output$main_plot <- renderPlot({
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req(input$stat_dim, input$metric, input$stat_way_sel)
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data <- generate_data_table(input$stat_dim, input$metric)
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# 把当前页码传进去
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generate_plot(data, input$stat_dim, input$metric, input$stat_way_sel, current_page())
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})
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}
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plotfunction<- function(dfData,independentVariableName,dependentVariableNames,titleNames) {
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lth1<-length(dependentVariableNames)
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dfData00<-data.frame()
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for(i in 1:lth1){
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dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,dependentVariableNames[i])])
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colnames(dfData0)<-c("Group",c(independentVariableName,"Count"))
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dfData00<-rbind(dfData00,dfData0)
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}
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plot1<-ggplot(dfData00, aes(x = dfData00[,2], y = Count, fill = Group)) +
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geom_col(
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position = position_dodge(width = 0.4), # 控制条间距
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width = 0.7 # 条宽度
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) +
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geom_line(
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aes(group = Group, color = Group),
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position = position_dodge(width = 0.4),
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size = 1,
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linetype="dashed",
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show.legend=FALSE,
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alpha = 1.0
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) +
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scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
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geom_text(
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aes(label = round(Count,2)), # 标签内容
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position = position_dodge(width = 0.4), # 与柱子位置一致
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vjust = -0.4, # 垂直位置（负值向上）
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color = "black", # 标签颜色
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size = 3 # 字体大小
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) +
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labs(
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title = titleNames[1],
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x = titleNames[2],
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y = titleNames[3],
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fill = titleNames[4]
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) +
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scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
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theme_minimal() + theme(
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plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
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axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
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axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
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axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
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axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
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legend.text = element_text(size=12,family = "SimSun"), # 图例文本
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legend.title = element_text(size=12,family = "SimSun"), # 图例标题
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legend.position = "right")
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plot1
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}
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plotfunctionVector仪器序列号<- function(ik,independentVariableList,dfData,independentVariableName,dependentVariableNames,titleNames) {
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dfData<-dfData[(dfData$仪器序列号 %in% c(independentVariableList[independentVariableList[,2]==ik,][,1])),]
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lth1<-length(dependentVariableNames)
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dfData00<-data.frame()
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for(i in 1:lth1){
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dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,dependentVariableNames[i])])
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colnames(dfData0)<-c("Group",c(independentVariableName,"Count"))
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dfData00<-rbind(dfData00,dfData0)
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}
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plot1<-ggplot(dfData00, aes(x = dfData00[,2], y = Count, fill = Group)) +
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geom_col(
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position = position_dodge(width = 0.4), # 控制条间距
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width = 0.7 # 条宽度
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) +
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geom_line(
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aes(group = Group, color = Group),
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position = position_dodge(width = 0.4),
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size = 1,
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linetype="dashed",
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show.legend=FALSE,
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alpha = 1.0
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) +
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scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
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geom_text(
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aes(label = round(Count,2)), # 标签内容
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position = position_dodge(width = 0.4), # 与柱子位置一致
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vjust = -0.4, # 垂直位置（负值向上）
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color = "black", # 标签颜色
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size = 3 # 字体大小
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) +
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labs(
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title = titleNames[1],
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x = titleNames[2],
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y = titleNames[3],
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fill = titleNames[4]
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) +
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scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
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theme_minimal() + theme(
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plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
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axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
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axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
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axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
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axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
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legend.text = element_text(size=12,family = "SimSun"), # 图例文本
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legend.title = element_text(size=12,family = "SimSun"), # 图例标题
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legend.position = "right")
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plot1
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#return (list(plotdfDataNumber,b23,b33,b43,b53))
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}
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plotfunctionVector批次名称<- function(ik,independentVariableList,dfData,independentVariableName,dependentVariableNames,titleNames) {
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dfData<-dfData[(dfData$批次名称 %in% c(independentVariableList[independentVariableList[,2]==ik,][,1])),]
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lth1<-length(dependentVariableNames)
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dfData00<-data.frame()
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for(i in 1:lth1){
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dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,dependentVariableNames[i])])
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colnames(dfData0)<-c("Group",c(independentVariableName,"Count"))
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dfData00<-rbind(dfData00,dfData0)
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}
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plot1<-ggplot(dfData00, aes(x = dfData00[,2], y = Count, fill = Group)) +
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geom_col(
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position = position_dodge(width = 0.4), # 控制条间距
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width = 0.7 # 条宽度
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) +
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geom_line(
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aes(group = Group, color = Group),
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position = position_dodge(width = 0.4),
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size = 1,
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linetype="dashed",
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show.legend=FALSE,
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alpha = 1.0
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) +
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scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
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geom_text(
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aes(label = round(Count,2)), # 标签内容
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position = position_dodge(width = 0.4), # 与柱子位置一致
|
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vjust = -0.4, # 垂直位置（负值向上）
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color = "black", # 标签颜色
|
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size = 3 # 字体大小
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) +
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labs(
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title = titleNames[1],
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x = titleNames[2],
|
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y = titleNames[3],
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fill = titleNames[4]
|
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) +
|
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scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
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theme_minimal() + theme(
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||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
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||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
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||
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plot1
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#return (list(plotdfDataNumber,b23,b33,b43,b53))
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}
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plotfunctionVector批次名称Log<- function(ik,independentVariableList,dfData,independentVariableName,dependentVariableNames,titleNames) {
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dfData<-dfData[(dfData$批次名称 %in% c(independentVariableList[independentVariableList[,2]==ik,][,1])),]
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lth1<-length(dependentVariableNames)
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dfData00<-data.frame()
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||
for(i in 1:lth1){
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dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,dependentVariableNames[i])])
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colnames(dfData0)<-c("Group",c(independentVariableName,"Count"))
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dfData00<-rbind(dfData00,dfData0)
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}
|
||
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plot1<-ggplot(dfData00, aes(x = dfData00[,2], y = Count, fill = Group)) +
|
||
geom_col(
|
||
position = position_dodge(width = 0.4), # 控制条间距
|
||
width = 0.7 # 条宽度
|
||
) +
|
||
geom_line(
|
||
aes(group = Group, color = Group),
|
||
position = position_dodge(width = 0.4),
|
||
size = 1,
|
||
linetype="dashed",
|
||
show.legend=FALSE,
|
||
alpha = 1.0
|
||
) +
|
||
scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
geom_text(
|
||
aes(label = round(Count,2)), # 标签内容
|
||
position = position_dodge(width = 0.4), # 与柱子位置一致
|
||
vjust = -0.4, # 垂直位置（负值向上）
|
||
color = "black", # 标签颜色
|
||
size = 3 # 字体大小
|
||
) +
|
||
labs(
|
||
title = titleNames[1],
|
||
x = titleNames[2],
|
||
y = titleNames[3],
|
||
fill = titleNames[4]
|
||
) +
|
||
scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
scale_y_log10()+
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot1
|
||
#return (list(plotdfDataNumber,b23,b33,b43,b53))
|
||
|
||
}
|
||
|
||
plotfunctionVector项目名称<- function(ik,independentVariableList,dfData,independentVariableName,dependentVariableNames,titleNames) {
|
||
dfData<-dfData[(dfData$项目名称 %in% c(independentVariableList[independentVariableList[,2]==ik,][,1])),]
|
||
lth1<-length(dependentVariableNames)
|
||
dfData00<-data.frame()
|
||
for(i in 1:lth1){
|
||
dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,dependentVariableNames[i])])
|
||
colnames(dfData0)<-c("Group",c(independentVariableName,"Count"))
|
||
dfData00<-rbind(dfData00,dfData0)
|
||
}
|
||
|
||
plot1<-ggplot(dfData00, aes(x = dfData00[,2], y = Count, fill = Group)) +
|
||
geom_col(
|
||
position = position_dodge(width = 0.4), # 控制条间距
|
||
width = 0.7 # 条宽度
|
||
) +
|
||
geom_line(
|
||
aes(group = Group, color = Group),
|
||
position = position_dodge(width = 0.4),
|
||
size = 1,
|
||
linetype="dashed",
|
||
show.legend=FALSE,
|
||
alpha = 1.0
|
||
) +
|
||
scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
geom_text(
|
||
aes(label = round(Count,2)), # 标签内容
|
||
position = position_dodge(width = 0.4), # 与柱子位置一致
|
||
vjust = -0.4, # 垂直位置（负值向上）
|
||
color = "black", # 标签颜色
|
||
size = 3 # 字体大小
|
||
) +
|
||
labs(
|
||
title = titleNames[1],
|
||
x = titleNames[2],
|
||
y = titleNames[3],
|
||
fill = titleNames[4]
|
||
) +
|
||
scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot1
|
||
#return (list(plotdfDataNumber,b23,b33,b43,b53))
|
||
|
||
}
|
||
|
||
plotfunctionVector项目名称Log<- function(ik,independentVariableList,dfData,independentVariableName,dependentVariableNames,titleNames) {
|
||
dfData<-dfData[(dfData$项目名称 %in% c(independentVariableList[independentVariableList[,2]==ik,][,1])),]
|
||
lth1<-length(dependentVariableNames)
|
||
dfData00<-data.frame()
|
||
for(i in 1:lth1){
|
||
dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,dependentVariableNames[i])])
|
||
colnames(dfData0)<-c("Group",c(independentVariableName,"Count"))
|
||
dfData00<-rbind(dfData00,dfData0)
|
||
}
|
||
|
||
plot1<-ggplot(dfData00, aes(x = dfData00[,2], y = Count, fill = Group)) +
|
||
geom_col(
|
||
position = position_dodge(width = 0.4), # 控制条间距
|
||
width = 0.7 # 条宽度
|
||
) +
|
||
geom_line(
|
||
aes(group = Group, color = Group),
|
||
position = position_dodge(width = 0.4),
|
||
size = 1,
|
||
linetype="dashed",
|
||
show.legend=FALSE,
|
||
alpha = 1.0
|
||
) +
|
||
scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
geom_text(
|
||
aes(label = round(Count,2)), # 标签内容
|
||
position = position_dodge(width = 0.4), # 与柱子位置一致
|
||
vjust = -0.4, # 垂直位置（负值向上）
|
||
color = "black", # 标签颜色
|
||
size = 3 # 字体大小
|
||
) +
|
||
labs(
|
||
title = titleNames[1],
|
||
x = titleNames[2],
|
||
y = titleNames[3],
|
||
fill = titleNames[4]
|
||
) +
|
||
scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
scale_y_log10()+
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot1
|
||
#return (list(plotdfDataNumber,b23,b33,b43,b53))
|
||
|
||
}
|
||
|
||
plotfunctionLog<- function(dfData,independentVariableName,dependentVariableNames,titleNames) {
|
||
lth1<-length(dependentVariableNames)
|
||
dfData00<-data.frame()
|
||
for(i in 1:lth1){
|
||
dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,dependentVariableNames[i])])
|
||
colnames(dfData0)<-c("Group",c(independentVariableName,"Count"))
|
||
dfData00<-rbind(dfData00,dfData0)
|
||
}
|
||
|
||
plot1<-ggplot(dfData00, aes(x = dfData00[,2], y = Count, fill = Group)) +
|
||
geom_col(
|
||
position = position_dodge(width = 0.4), # 控制条间距
|
||
width = 0.7 # 条宽度
|
||
) +
|
||
geom_line(
|
||
aes(group = Group, color = Group),
|
||
position = position_dodge(width = 0.4),
|
||
size = 1,
|
||
linetype="dashed",
|
||
show.legend=FALSE,
|
||
alpha = 1.0
|
||
) +
|
||
scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
geom_text(
|
||
aes(label = round(Count,2)), # 标签内容
|
||
position = position_dodge(width = 0.4), # 与柱子位置一致
|
||
vjust = -0.4, # 垂直位置（负值向上）
|
||
color = "black", # 标签颜色
|
||
size = 3 # 字体大小
|
||
) +
|
||
labs(
|
||
title = titleNames[1],
|
||
x = titleNames[2],
|
||
y = titleNames[3],
|
||
fill = titleNames[4]
|
||
) +
|
||
scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
scale_y_log10()+
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot1
|
||
#return (list(plotdfDataNumber,b23,b33,b43,b53))
|
||
|
||
}
|
||
|
||
plotfunctionVector仪器序列号Log<- function(ik,independentVariableList,dfData,independentVariableName,dependentVariableNames,titleNames) {
|
||
dfData<-dfData[(dfData$仪器序列号 %in% c(independentVariableList[independentVariableList[,2]==ik,][,1])),]
|
||
lth1<-length(dependentVariableNames)
|
||
dfData00<-data.frame()
|
||
for(i in 1:lth1){
|
||
dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,dependentVariableNames[i])])
|
||
colnames(dfData0)<-c("Group",c(independentVariableName,"Count"))
|
||
dfData00<-rbind(dfData00,dfData0)
|
||
}
|
||
|
||
plot1<-ggplot(dfData00, aes(x = dfData00[,2], y = Count, fill = Group)) +
|
||
geom_col(
|
||
position = position_dodge(width = 0.4), # 控制条间距
|
||
width = 0.7 # 条宽度
|
||
) +
|
||
geom_line(
|
||
aes(group = Group, color = Group),
|
||
position = position_dodge(width = 0.4),
|
||
size = 1,
|
||
linetype="dashed",
|
||
show.legend=FALSE,
|
||
alpha = 1.0
|
||
) +
|
||
scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
geom_text(
|
||
aes(label = round(Count,2)), # 标签内容
|
||
position = position_dodge(width = 0.4), # 与柱子位置一致
|
||
vjust = -0.4, # 垂直位置（负值向上）
|
||
color = "black", # 标签颜色
|
||
size = 3 # 字体大小
|
||
) +
|
||
labs(
|
||
title = titleNames[1],
|
||
x = titleNames[2],
|
||
y = titleNames[3],
|
||
fill = titleNames[4]
|
||
) +
|
||
scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
scale_y_log10()+
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot1
|
||
#return (list(plotdfDataNumber,b23,b33,b43,b53))
|
||
|
||
}
|
||
|
||
panelPlotByDayAndLocation<- function(dfData,choosenList,independentVariableName,panelName,dependentVariableNames,titleNames) {
|
||
lth1<-length(dependentVariableNames)
|
||
dfData00<-data.frame()
|
||
for(i in 1:lth1){
|
||
dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,panelName,dependentVariableNames[i])])
|
||
colnames(dfData0)<-c("Group",c(independentVariableName,panelName,"Count"))
|
||
dfData00<-rbind(dfData00,dfData0)
|
||
}
|
||
dfData00<-dfData00[dfData00$省编号 %in% choosenList,]
|
||
dfData00$省编号<-factor(dfData00$省编号,levels = choosenList)
|
||
|
||
plot1<-ggplot(dfData00, aes(x = testDay, y = Count, fill = Group)) +
|
||
geom_col(
|
||
position = position_dodge(width = 0.4), # 控制条间距
|
||
width = 0.7 # 条宽度
|
||
) +
|
||
geom_line(
|
||
aes(group = Group, color = Group),
|
||
position = position_dodge(width = 0.4),
|
||
size = 1,
|
||
linetype="dashed",
|
||
show.legend=FALSE,
|
||
alpha = 1.0
|
||
) +
|
||
scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
geom_text(
|
||
aes(label = round(Count,2)), # 标签内容
|
||
position = position_dodge(width = 0.4), # 与柱子位置一致
|
||
vjust = -0.4, # 垂直位置（负值向上）
|
||
color = "black", # 标签颜色
|
||
size = 3 # 字体大小
|
||
) +
|
||
facet_wrap( ~ 省编号,ncol=2) +
|
||
labs(
|
||
title = titleNames[1],
|
||
x = titleNames[2],
|
||
y = titleNames[3],
|
||
fill = titleNames[4]
|
||
) +
|
||
scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"),
|
||
strip.text = element_text(size = 10, family = "SimSun"), # 图例标题
|
||
panel.border = element_rect(
|
||
color = "black", # 边框颜色
|
||
size = 1., # 边框粗细
|
||
linetype = "solid", # 线型（solid/dashed/dotted）
|
||
fill = NA # 填充色（NA为透明）
|
||
),
|
||
legend.position = "right")
|
||
plot1
|
||
}
|
||
panelPlotByMonthAndLocation<- function(dfData,choosenList,independentVariableName,panelName,dependentVariableNames,titleNames) {
|
||
lth1<-length(dependentVariableNames)
|
||
dfData00<-data.frame()
|
||
for(i in 1:lth1){
|
||
dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,panelName,dependentVariableNames[i])])
|
||
colnames(dfData0)<-c("Group",c(independentVariableName,panelName,"Count"))
|
||
dfData00<-rbind(dfData00,dfData0)
|
||
}
|
||
dfData00<-dfData00[dfData00$省编号 %in% choosenList,]
|
||
dfData00$省编号<-factor(dfData00$省编号,levels = choosenList)
|
||
|
||
plot1<-ggplot(dfData00, aes(x = testMonth, y = Count, fill = Group)) +
|
||
geom_col(
|
||
position = position_dodge(width = 0.4), # 控制条间距
|
||
width = 0.7 # 条宽度
|
||
) +
|
||
geom_line(
|
||
aes(group = Group, color = Group),
|
||
position = position_dodge(width = 0.4),
|
||
size = 1,
|
||
linetype="dashed",
|
||
show.legend=FALSE,
|
||
alpha = 1.0
|
||
) +
|
||
scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
geom_text(
|
||
aes(label = round(Count,2)), # 标签内容
|
||
position = position_dodge(width = 0.4), # 与柱子位置一致
|
||
vjust = -0.4, # 垂直位置（负值向上）
|
||
color = "black", # 标签颜色
|
||
size = 3 # 字体大小
|
||
) +
|
||
facet_wrap( ~ 省编号,ncol=2) +
|
||
labs(
|
||
title = titleNames[1],
|
||
x = titleNames[2],
|
||
y = titleNames[3],
|
||
fill = titleNames[4]
|
||
) +
|
||
scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
|
||
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
strip.text = element_text(size = 10, family = "SimSun"),
|
||
panel.border = element_rect(
|
||
color = "black", # 边框颜色
|
||
size = 1., # 边框粗细
|
||
linetype = "solid", # 线型（solid/dashed/dotted）
|
||
fill = NA # 填充色（NA为透明）
|
||
),
|
||
legend.position = "right")
|
||
plot1
|
||
}
|
||
panelPlotByDayAnd细胞<- function(dfData,choosenList,independentVariableName,panelName,dependentVariableNames,titleNames) {
|
||
lth1<-length(dependentVariableNames)
|
||
dfData00<-data.frame()
|
||
for(i in 1:lth1){
|
||
dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,panelName,dependentVariableNames[i])])
|
||
colnames(dfData0)<-c("Group",c(independentVariableName,panelName,"Count"))
|
||
dfData00<-rbind(dfData00,dfData0)
|
||
}
|
||
dfData00<-dfData00[dfData00$小细胞 %in% choosenList,]
|
||
dfData00$小细胞<-factor(dfData00$小细胞,levels = choosenList)
|
||
|
||
plot1<-ggplot(dfData00, aes(x = testDay, y = Count, fill = Group)) +
|
||
geom_col(
|
||
position = position_dodge(width = 0.4), # 控制条间距
|
||
width = 0.7 # 条宽度
|
||
) +
|
||
geom_line(
|
||
aes(group = Group, color = Group),
|
||
position = position_dodge(width = 0.4),
|
||
size = 1,
|
||
linetype="dashed",
|
||
show.legend=FALSE,
|
||
alpha = 1.0
|
||
) +
|
||
scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
geom_text(
|
||
aes(label = round(Count,2)), # 标签内容
|
||
position = position_dodge(width = 0.4), # 与柱子位置一致
|
||
vjust = -0.4, # 垂直位置（负值向上）
|
||
color = "black", # 标签颜色
|
||
size = 3 # 字体大小
|
||
) +
|
||
facet_wrap( ~ 小细胞,ncol=2) +
|
||
labs(
|
||
title = titleNames[1],
|
||
x = titleNames[2],
|
||
y = titleNames[3],
|
||
fill = titleNames[4]
|
||
) +
|
||
scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
strip.text = element_text(size = 10, family = "SimSun"),
|
||
panel.border = element_rect(
|
||
color = "black", # 边框颜色
|
||
size = 1., # 边框粗细
|
||
linetype = "solid", # 线型（solid/dashed/dotted）
|
||
fill = NA # 填充色（NA为透明）
|
||
),
|
||
legend.position = "right")
|
||
plot1
|
||
}
|
||
panelPlotByMonthAnd细胞<- function(dfData,choosenList,independentVariableName,panelName,dependentVariableNames,titleNames) {
|
||
lth1<-length(dependentVariableNames)
|
||
dfData00<-data.frame()
|
||
for(i in 1:lth1){
|
||
dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,panelName,dependentVariableNames[i])])
|
||
colnames(dfData0)<-c("Group",c(independentVariableName,panelName,"Count"))
|
||
dfData00<-rbind(dfData00,dfData0)
|
||
}
|
||
dfData00<-dfData00[dfData00$小细胞 %in% choosenList,]
|
||
dfData00$小细胞<-factor(dfData00$小细胞,levels = choosenList)
|
||
|
||
plot1<-ggplot(dfData00, aes(x = testMonth, y = Count, fill = Group)) +
|
||
geom_col(
|
||
position = position_dodge(width = 0.4), # 控制条间距
|
||
width = 0.7 # 条宽度
|
||
) +
|
||
geom_line(
|
||
aes(group = Group, color = Group),
|
||
position = position_dodge(width = 0.4),
|
||
size = 1,
|
||
linetype="dashed",
|
||
show.legend=FALSE,
|
||
alpha = 1.0
|
||
) +
|
||
scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
geom_text(
|
||
aes(label = round(Count,2)), # 标签内容
|
||
position = position_dodge(width = 0.4), # 与柱子位置一致
|
||
vjust = -0.4, # 垂直位置（负值向上）
|
||
color = "black", # 标签颜色
|
||
size = 3 # 字体大小
|
||
) +
|
||
facet_wrap( ~ 小细胞,ncol=2) +
|
||
labs(
|
||
title = titleNames[1],
|
||
x = titleNames[2],
|
||
y = titleNames[3],
|
||
fill = titleNames[4]
|
||
) +
|
||
scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
strip.text = element_text(size = 10, family = "SimSun"),
|
||
panel.border = element_rect(
|
||
color = "black", # 边框颜色
|
||
size = 1., # 边框粗细
|
||
linetype = "solid", # 线型（solid/dashed/dotted）
|
||
fill = NA # 填充色（NA为透明）
|
||
),
|
||
legend.position = "right")
|
||
plot1
|
||
}
|
||
|
||
pointPlotfunction批次<- function(dfData,independentVariableName,dependentVariableName,titleNames) {
|
||
|
||
plot2 <- ggplot(df20Ploted)+geom_point(aes(dfData[,independentVariableName], dfData[,dependentVariableName],color=as.character(批次名称)))+
|
||
labs(
|
||
title = titleNames[1], # 主标题
|
||
x = titleNames[2], # X轴标签
|
||
y = titleNames[3], # Y轴标签
|
||
color = titleNames[4] # 图例标题
|
||
)+
|
||
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot2
|
||
|
||
}
|
||
|
||
pointPlotfunction批次Log<- function(dfData,independentVariableName,dependentVariableName,titleNames) {
|
||
|
||
plot2 <- ggplot(df20Ploted)+geom_point(aes(dfData[,independentVariableName], dfData[,dependentVariableName],color=as.character(批次名称)))+
|
||
# geom_line(aes(testDay,浓度1移动均值),color="blue")+
|
||
# geom_line(aes(testDay,浓度1累计均值),color="green",linewidth=1.)+
|
||
# geom_line(aes(testDay,浓度1允许波动范围),color="red",linewidth=1.)+
|
||
# xlim(xmin, xmax) + ylim(ymin, ymax)+theme(legend.position ="right")+
|
||
labs(
|
||
title = titleNames[1], # 主标题
|
||
x = titleNames[2], # X轴标签
|
||
y = titleNames[3], # Y轴标签
|
||
color = titleNames[4] # 图例标题
|
||
)+
|
||
# scale_x_date(
|
||
# date_labels = "%Y-%m-%d", # 格式符组合
|
||
# date_breaks = "1 month" # 标签间隔（如 "2 weeks"）
|
||
# )+
|
||
scale_y_log10()+
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot2
|
||
|
||
}
|
||
|
||
pointPlotfunction仪器<- function(dfData,independentVariableName,dependentVariableName,titleNames) {
|
||
|
||
plot2 <- ggplot(df20Ploted)+geom_point(aes(dfData[,independentVariableName], dfData[,dependentVariableName],color=as.character(仪器序列号)))+
|
||
# geom_line(aes(testDay,浓度1移动均值),color="blue")+
|
||
# geom_line(aes(testDay,浓度1累计均值),color="green",linewidth=1.)+
|
||
# geom_line(aes(testDay,浓度1允许波动范围),color="red",linewidth=1.)+
|
||
# xlim(xmin, xmax) + ylim(ymin, ymax)+theme(legend.position ="right")+
|
||
labs(
|
||
title = titleNames[1], # 主标题
|
||
x = titleNames[2], # X轴标签
|
||
y = titleNames[3], # Y轴标签
|
||
color = titleNames[4] # 图例标题
|
||
)+
|
||
# scale_x_date(
|
||
# date_labels = "%Y-%m-%d", # 格式符组合
|
||
# date_breaks = "1 month" # 标签间隔（如 "2 weeks"）
|
||
# )+
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot2
|
||
|
||
}
|
||
|
||
pointPlotfunction仪器Log<- function(dfData,independentVariableName,dependentVariableName,titleNames) {
|
||
|
||
plot2 <- ggplot(df20Ploted)+geom_point(aes(dfData[,independentVariableName], dfData[,dependentVariableName],color=as.character(仪器序列号)))+
|
||
# geom_line(aes(testDay,浓度1移动均值),color="blue")+
|
||
# geom_line(aes(testDay,浓度1累计均值),color="green",linewidth=1.)+
|
||
# geom_line(aes(testDay,浓度1允许波动范围),color="red",linewidth=1.)+
|
||
# xlim(xmin, xmax) + ylim(ymin, ymax)+theme(legend.position ="right")+
|
||
labs(
|
||
title = titleNames[1], # 主标题
|
||
x = titleNames[2], # X轴标签
|
||
y = titleNames[3], # Y轴标签
|
||
color = titleNames[4] # 图例标题
|
||
)+
|
||
# scale_x_date(
|
||
# date_labels = "%Y-%m-%d", # 格式符组合
|
||
# date_breaks = "1 month" # 标签间隔（如 "2 weeks"）
|
||
# )+
|
||
scale_y_log10()+
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot2
|
||
|
||
}
|
||
|
||
pointPlotfunction样本<- function(dfData,independentVariableName,dependentVariableName,titleNames) {
|
||
|
||
plot2 <- ggplot(df20Ploted)+geom_point(aes(dfData[,independentVariableName], dfData[,dependentVariableName],color=as.character(样本类型)))+
|
||
# geom_line(aes(testDay,浓度1移动均值),color="blue")+
|
||
# geom_line(aes(testDay,浓度1累计均值),color="green",linewidth=1.)+
|
||
# geom_line(aes(testDay,浓度1允许波动范围),color="red",linewidth=1.)+
|
||
# xlim(xmin, xmax) + ylim(ymin, ymax)+theme(legend.position ="right")+
|
||
labs(
|
||
title = titleNames[1], # 主标题
|
||
x = titleNames[2], # X轴标签
|
||
y = titleNames[3], # Y轴标签
|
||
color = titleNames[4] # 图例标题
|
||
)+
|
||
# scale_x_date(
|
||
# date_labels = "%Y-%m-%d", # 格式符组合
|
||
# date_breaks = "1 month" # 标签间隔（如 "2 weeks"）
|
||
# )+
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot2
|
||
|
||
}
|
||
|
||
pointPlotfunction样本Log<- function(dfData,independentVariableName,dependentVariableName,titleNames) {
|
||
|
||
plot2 <- ggplot(df20Ploted)+geom_point(aes(dfData[,independentVariableName], dfData[,dependentVariableName],color=as.character(样本类型)))+
|
||
# geom_line(aes(testDay,浓度1移动均值),color="blue")+
|
||
# geom_line(aes(testDay,浓度1累计均值),color="green",linewidth=1.)+
|
||
# geom_line(aes(testDay,浓度1允许波动范围),color="red",linewidth=1.)+
|
||
# xlim(xmin, xmax) + ylim(ymin, ymax)+theme(legend.position ="right")+
|
||
labs(
|
||
title = titleNames[1], # 主标题
|
||
x = titleNames[2], # X轴标签
|
||
y = titleNames[3], # Y轴标签
|
||
color = titleNames[4] # 图例标题
|
||
)+
|
||
# scale_x_date(
|
||
# date_labels = "%Y-%m-%d", # 格式符组合
|
||
# date_breaks = "1 month" # 标签间隔（如 "2 weeks"）
|
||
# )+
|
||
scale_y_log10()+
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot2
|
||
|
||
}
|
||
|
||
pointPlotfunction项目<- function(dfData,independentVariableName,dependentVariableName,titleNames) {
|
||
|
||
plot2 <- ggplot(df20Ploted)+geom_point(aes(dfData[,independentVariableName], dfData[,dependentVariableName],color=as.character(项目名称)))+
|
||
# geom_line(aes(testDay,浓度1移动均值),color="blue")+
|
||
# geom_line(aes(testDay,浓度1累计均值),color="green",linewidth=1.)+
|
||
# geom_line(aes(testDay,浓度1允许波动范围),color="red",linewidth=1.)+
|
||
# xlim(xmin, xmax) + ylim(ymin, ymax)+theme(legend.position ="right")+
|
||
labs(
|
||
title = titleNames[1], # 主标题
|
||
x = titleNames[2], # X轴标签
|
||
y = titleNames[3], # Y轴标签
|
||
color = titleNames[4] # 图例标题
|
||
)+
|
||
# scale_x_date(
|
||
# date_labels = "%Y-%m-%d", # 格式符组合
|
||
# date_breaks = "1 month" # 标签间隔（如 "2 weeks"）
|
||
# )+
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot2
|
||
|
||
}
|
||
|
||
pointPlotfunction项目Log<- function(dfData,independentVariableName,dependentVariableName,titleNames) {
|
||
|
||
plot2 <- ggplot(df20Ploted)+geom_point(aes(dfData[,independentVariableName], dfData[,dependentVariableName],color=as.character(项目名称)))+
|
||
# geom_line(aes(testDay,浓度1移动均值),color="blue")+
|
||
# geom_line(aes(testDay,浓度1累计均值),color="green",linewidth=1.)+
|
||
# geom_line(aes(testDay,浓度1允许波动范围),color="red",linewidth=1.)+
|
||
# xlim(xmin, xmax) + ylim(ymin, ymax)+theme(legend.position ="right")+
|
||
labs(
|
||
title = titleNames[1], # 主标题
|
||
x = titleNames[2], # X轴标签
|
||
y = titleNames[3], # Y轴标签
|
||
color = titleNames[4] # 图例标题
|
||
)+
|
||
# scale_x_date(
|
||
# date_labels = "%Y-%m-%d", # 格式符组合
|
||
# date_breaks = "1 month" # 标签间隔（如 "2 weeks"）
|
||
# )+
|
||
scale_y_log10()+
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot2
|
||
|
||
}
|
||
|
||
plotfunctionByDay<- function(dfData,independentVariableName,dependentVariableNames,titleNames) {
|
||
lth1<-length(dependentVariableNames)
|
||
dfData00<-data.frame()
|
||
for(i in 1:lth1){
|
||
dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,dependentVariableNames[i])])
|
||
colnames(dfData0)<-c("Group",c(independentVariableName,"Count"))
|
||
dfData00<-rbind(dfData00,dfData0)
|
||
}
|
||
|
||
plot1<-ggplot(dfData00, aes(x = testDay, y = Count, fill = Group)) +
|
||
geom_col(
|
||
position = position_dodge(width = 0.4), # 控制条间距
|
||
width = 0.7 # 条宽度
|
||
) +
|
||
geom_line(
|
||
aes(group = Group, color = Group),
|
||
position = position_dodge(width = 0.4),
|
||
size = 1,
|
||
linetype="dashed",
|
||
show.legend=FALSE,
|
||
alpha = 1.0
|
||
) +
|
||
scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
geom_text(
|
||
aes(label = round(Count,2)), # 标签内容
|
||
position = position_dodge(width = 0.4), # 与柱子位置一致
|
||
vjust = -0.4, # 垂直位置（负值向上）
|
||
color = "black", # 标签颜色
|
||
size = 1.2 # 字体大小
|
||
) +
|
||
labs(
|
||
title = titleNames[1],
|
||
x = titleNames[2],
|
||
y = titleNames[3],
|
||
fill = titleNames[4]
|
||
) +
|
||
scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot1
|
||
#return (list(plotdfDataNumber,b23,b33,b43,b53))
|
||
|
||
}
|
||
|
||
plotfunctionBy区域<- function(dfData,independentVariableName,dependentVariableNames,titleNames) {
|
||
lth1<-length(dependentVariableNames)
|
||
dfData00<-data.frame()
|
||
for(i in 1:lth1){
|
||
dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,dependentVariableNames[i])])
|
||
colnames(dfData0)<-c("Group",c(independentVariableName,"Count"))
|
||
dfData00<-rbind(dfData00,dfData0)
|
||
}
|
||
|
||
plot1<-ggplot(dfData00, aes(x = 省编号, y = Count, fill = Group)) +
|
||
geom_col(
|
||
position = position_dodge(width = 0.4), # 控制条间距
|
||
width = 0.7 # 条宽度
|
||
) +
|
||
geom_line(
|
||
aes(group = Group, color = Group),
|
||
position = position_dodge(width = 0.4),
|
||
size = 1,
|
||
linetype="dashed",
|
||
show.legend=FALSE,
|
||
alpha = 1.0
|
||
) +
|
||
scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
geom_text(
|
||
aes(label = round(Count,2)), # 标签内容
|
||
position = position_dodge(width = 0.4), # 与柱子位置一致
|
||
vjust = -0.4, # 垂直位置（负值向上）
|
||
color = "black", # 标签颜色
|
||
size = 1.2 # 字体大小
|
||
) +
|
||
labs(
|
||
title = titleNames[1],
|
||
x = titleNames[2],
|
||
y = titleNames[3],
|
||
fill = titleNames[4]
|
||
) +
|
||
scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot1
|
||
#return (list(plotdfDataNumber,b23,b33,b43,b53))
|
||
|
||
}
|
||
|
||
plotfunctionBy仪器<- function(dfData,independentVariableName,dependentVariableNames,titleNames) {
|
||
lth1<-length(dependentVariableNames)
|
||
dfData00<-data.frame()
|
||
for(i in 1:lth1){
|
||
dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,dependentVariableNames[i])])
|
||
colnames(dfData0)<-c("Group",c(independentVariableName,"Count"))
|
||
dfData00<-rbind(dfData00,dfData0)
|
||
}
|
||
|
||
plot1<-ggplot(dfData00, aes(x = 仪器序列号, y = Count, fill = Group)) +
|
||
geom_col(
|
||
position = position_dodge(width = 0.4), # 控制条间距
|
||
width = 0.7 # 条宽度
|
||
) +
|
||
geom_line(
|
||
aes(group = Group, color = Group),
|
||
position = position_dodge(width = 0.4),
|
||
size = 1,
|
||
linetype="dashed",
|
||
show.legend=FALSE,
|
||
alpha = 1.0
|
||
) +
|
||
scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
geom_text(
|
||
aes(label = round(Count,2)), # 标签内容
|
||
position = position_dodge(width = 0.4), # 与柱子位置一致
|
||
vjust = -0.4, # 垂直位置（负值向上）
|
||
color = "black", # 标签颜色
|
||
size = 1.2 # 字体大小
|
||
) +
|
||
labs(
|
||
title = titleNames[1],
|
||
x = titleNames[2],
|
||
y = titleNames[3],
|
||
fill = titleNames[4]
|
||
) +
|
||
scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot1
|
||
#return (list(plotdfDataNumber,b23,b33,b43,b53))
|
||
|
||
}
|
||
|
||
plotfunctionBy仪器Log<- function(dfData,independentVariableName,dependentVariableNames,titleNames) {
|
||
lth1<-length(dependentVariableNames)
|
||
dfData00<-data.frame()
|
||
for(i in 1:lth1){
|
||
dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,dependentVariableNames[i])])
|
||
colnames(dfData0)<-c("Group",c(independentVariableName,"Count"))
|
||
dfData00<-rbind(dfData00,dfData0)
|
||
}
|
||
|
||
plot1<-ggplot(dfData00, aes(x = 仪器序列号, y = Count, fill = Group)) +
|
||
geom_col(
|
||
position = position_dodge(width = 0.4), # 控制条间距
|
||
width = 0.7 # 条宽度
|
||
) +
|
||
geom_line(
|
||
aes(group = Group, color = Group),
|
||
position = position_dodge(width = 0.4),
|
||
size = 1,
|
||
linetype="dashed",
|
||
show.legend=FALSE,
|
||
alpha = 1.0
|
||
) +
|
||
scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
geom_text(
|
||
aes(label = round(Count,2)), # 标签内容
|
||
position = position_dodge(width = 0.4), # 与柱子位置一致
|
||
vjust = -0.4, # 垂直位置（负值向上）
|
||
color = "black", # 标签颜色
|
||
size = 1.2 # 字体大小
|
||
) +
|
||
labs(
|
||
title = titleNames[1],
|
||
x = titleNames[2],
|
||
y = titleNames[3],
|
||
fill = titleNames[4]
|
||
) +
|
||
scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色
|
||
scale_y_log10()+
|
||
theme_minimal() + theme(
|
||
plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"),
|
||
axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"),
|
||
axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") ,
|
||
axis.text.y = element_text(size=12,face = "bold",family = "SimSun"),
|
||
legend.text = element_text(size=12,family = "SimSun"), # 图例文本
|
||
legend.title = element_text(size=12,family = "SimSun"), # 图例标题
|
||
legend.position = "right")
|
||
|
||
plot1
|
||
#return (list(plotdfDataNumber,b23,b33,b43,b53))
|
||
|
||
}
|
||
|
||
running_avg <- function(x, window = 3) {
|
||
sapply(seq_along(x), function(i) {
|
||
start <- max(1, i - window + 1)
|
||
mean(x[start:i],na.rm=TRUE)
|
||
})
|
||
}
|
||
|
||
lumping_avg<- function(x,window = 100) {
|
||
sapply(seq_along(x), function(i) {
|
||
start <- max(1, i - window + 1)
|
||
mean(x[start:i],na.rm=TRUE)
|
||
})
|
||
}
|
||
|
||
lumping_sd<- function(x,window = 100) {
|
||
sapply(seq_along(x), function(i) {
|
||
start <- max(1, i - window + 1)
|
||
sd(x[start:i],na.rm=TRUE)
|
||
})
|
||
}
|
||
|
||
rep6<-rep(1,6)
|
||
rep50<-rep(1,50)
|
||
rep0<-rep6
|
||
for(i in 1:1000) rep0<-c(rep0,rep6+i)
|
||
rep00<-rep50
|
||
for(i in 1:100) rep00<-c(rep00,rep50+i)
|
||
|
||
|
||
|
||
mydb = dbConnect(MySQL(), user='root', password='My9521$$', dbname='和迈', host='192.168.11.223')
|
||
dbListTables(mydb)
|
||
|
||
rs = dbSendQuery(mydb, "select * from 和迈.仪器编号和序列号1m ")
|
||
仪器编号和序列号 = fetch(rs, n=-1)
|
||
仪器编号和序列号<-仪器编号和序列号[!duplicated(仪器编号和序列号[,c("仪器编号","仪器序列号" )]),]
|
||
colnames(仪器编号和序列号)
|
||
|
||
|
||
rs = dbSendQuery(mydb, "select * from 和迈.和迈测试数据 ")
|
||
df2 = fetch(rs, n=-1)
|
||
dbDisconnect(mydb)
|
||
|
||
|
||
colnames(df2)
|
||
cname00<-c( "序号" , "项目号" , "批次号" , "样品编号" ,
|
||
"项目名称" , "批次名称" , "测试时间" , "浓度1" ,
|
||
"结论" , "C值" , "T值" , "浓度2" ,
|
||
"浓度3" , "结论2" , "结论3" , "样本类型" ,
|
||
"省市编号" , "仪器序列号" , "T2值" , "T3值" ,
|
||
"仪器备注名称", "仪器投放区域", "详细地址")
|
||
df2<-distinct(df2[,cname00])
|
||
df2$批次名称<-as.character(df2$批次名称)
|
||
df2<-df2[!is.na(df2$批次名称),]
|
||
|
||
df2andInf<-merge(df2,仪器编号和序列号[,c("仪器编号","仪器序列号","发货时间" ,"申请日期" ,
|
||
"小细胞" , "客户编码" , "代理商名称" ,
|
||
"用户名称" , "规格" , "状态")],by="仪器序列号",all.x=TRUE,all.y=FALSE)
|
||
|
||
df2andInf$省编号<-(df2andInf$省市编号 %/% 10000)*10000
|
||
df2andInf$省名<-str_sub(df2andInf$详细地址,1,3)
|
||
df2andInf$省名[str_length(df2andInf$省名)<3]<-NA
|
||
|
||
df2andInf$省名[str_like(df2andInf$省编号,paste(paste("%","120000",sep=""),"%",sep=""), ignore_case = TRUE)]<-"天津市"
|
||
df2andInf$省名[str_like(df2andInf$省编号,paste(paste("%","230000",sep=""),"%",sep=""), ignore_case = TRUE)]<-"黑龙江"
|
||
df2andInf$省名[str_like(df2andInf$省编号,paste(paste("%","320000",sep=""),"%",sep=""), ignore_case = TRUE)]<-"江苏省"
|
||
df2andInf$省名[str_like(df2andInf$省编号,paste(paste("%","420000",sep=""),"%",sep=""), ignore_case = TRUE)]<-"湖北省"
|
||
df2andInf$省名[str_like(df2andInf$省编号,paste(paste("%","510000",sep=""),"%",sep=""), ignore_case = TRUE)]<-"四川省"
|
||
df2andInf$省编号[str_like(df2andInf$省名,paste(paste("%","重庆市",sep=""),"%",sep=""), ignore_case = TRUE)]<-"500000"
|
||
df2andInf$省编号[str_like(df2andInf$省名,paste(paste("%","广西壮",sep=""),"%",sep=""), ignore_case = TRUE)]<-"450000"
|
||
df2andInf$省编号[str_like(df2andInf$省名,paste(paste("%","江西省",sep=""),"%",sep=""), ignore_case = TRUE)]<-"360000"
|
||
df2andInf$省编号[str_like(df2andInf$省名,paste(paste("%","北京市",sep=""),"%",sep=""), ignore_case = TRUE)]<-"110000"
|
||
df2andInf$省编号[str_like(df2andInf$省名,paste(paste("%","河北省",sep=""),"%",sep=""), ignore_case = TRUE)]<-"130000"
|
||
df2andInf$省编号[str_like(df2andInf$省名,paste(paste("%","上海市",sep=""),"%",sep=""), ignore_case = TRUE)]<-"310000"
|
||
df2andInf$省编号[str_like(df2andInf$省名,paste(paste("%","浙江省",sep=""),"%",sep=""), ignore_case = TRUE)]<-"330000"
|
||
df2andInf$省编号[str_like(df2andInf$省名,paste(paste("%","四川省",sep=""),"%",sep=""), ignore_case = TRUE)]<-"510000"
|
||
df2andInf$省编号[str_like(df2andInf$省名,paste(paste("%","安徽省",sep=""),"%",sep=""), ignore_case = TRUE)]<-"340000"
|
||
df2andInf$省编号[str_like(df2andInf$省名,paste(paste("%","贵州省",sep=""),"%",sep=""), ignore_case = TRUE)]<-"520000"
|
||
|
||
df2andInf<-distinct(df2andInf)
|
||
|
||
|
||
|
||
|
||
|
||
df2andInf$是否阳性<-df2andInf$结论
|
||
df2andInf$是否阳性[df2andInf$是否阳性=="阳性"]<-1.0
|
||
df2andInf$是否阳性[df2andInf$是否阳性=="阴性"]<-0.0
|
||
df2andInf$是否阳性[df2andInf$是否阳性=="无效"]<-0.5
|
||
df2andInf$是否阳性<-as.numeric(df2andInf$是否阳性)
|
||
df2andInf$是否阳性[is.na(df2andInf$是否阳性)]<-0.5
|
||
|
||
df2andInf$结论[df2andInf$结论=="阳性"]<-1.0
|
||
df2andInf$结论[df2andInf$结论=="阴性"]<-0.0
|
||
df2andInf$结论<-as.numeric(df2andInf$结论)
|
||
|
||
df2andInf$是否有效<-1
|
||
df2andInf$是否有效[df2andInf$是否阳性==0.5]<-0
|
||
|
||
Numberof项目号<-length(unique(df2andInf$项目号))
|
||
Numberof批次号<-length(unique(df2andInf$批次号))
|
||
Numberof样品编号<-length(unique(df2andInf$样品编号))
|
||
Numberof项目名称<-length(unique(df2andInf$项目名称))
|
||
Numberof批次名称<-length(unique(df2andInf$批次名称))
|
||
Numberof省编号<-length(unique(df2andInf$省编号))
|
||
Numberof省名<-length(unique(df2andInf$省名))
|
||
Numberof省市编号<-length(unique(df2andInf$省市编号))
|
||
Numberof仪器序列号<-length(unique(df2andInf$仪器序列号))
|
||
Numberof详细地址<-length(unique(df2andInf$详细地址))
|
||
Numberof小细胞<-length(unique(df2andInf$小细胞))
|
||
Numberof仪器备注名称<-length(unique(df2andInf$仪器备注名称))
|
||
Numberof仪器投放区域<-length(unique(df2andInf$仪器投放区域))
|
||
Numberof样本类型<-length(unique(df2andInf$样本类型))
|
||
|
||
|
||
if(FALSE){
|
||
省编号and省名<-data.frame(cbind(df2andInf$省编号,df2andInf$省名))
|
||
colnames(省编号and省名)<-c("省编号","省名")
|
||
省编号and省名<-省编号and省名[!duplicated(省编号and省名),]
|
||
省编号and省名<-省编号and省名[order(省编号and省名$省编号),]
|
||
省编号and省名$省名[str_like(省编号and省名$省编号,paste(paste("%","120000",sep=""),"%",sep=""), ignore_case = TRUE)]<-"天津市"
|
||
省编号and省名$省名[str_like(省编号and省名$省编号,paste(paste("%","230000",sep=""),"%",sep=""), ignore_case = TRUE)]<-"黑龙江"
|
||
省编号and省名$省名[str_like(省编号and省名$省编号,paste(paste("%","320000",sep=""),"%",sep=""), ignore_case = TRUE)]<-"江苏省"
|
||
省编号and省名$省名[str_like(省编号and省名$省编号,paste(paste("%","420000",sep=""),"%",sep=""), ignore_case = TRUE)]<-"湖北省"
|
||
省编号and省名$省名[str_like(省编号and省名$省编号,paste(paste("%","510000",sep=""),"%",sep=""), ignore_case = TRUE)]<-"四川省"
|
||
省编号and省名$省编号[str_like(省编号and省名$省名,paste(paste("%","重庆市",sep=""),"%",sep=""), ignore_case = TRUE)]<-"500000"
|
||
省编号and省名$省编号[str_like(省编号and省名$省名,paste(paste("%","广西壮",sep=""),"%",sep=""), ignore_case = TRUE)]<-"450000"
|
||
省编号and省名$省编号[str_like(省编号and省名$省名,paste(paste("%","江西省",sep=""),"%",sep=""), ignore_case = TRUE)]<-"360000"
|
||
省编号and省名$省编号[str_like(省编号and省名$省名,paste(paste("%","北京市",sep=""),"%",sep=""), ignore_case = TRUE)]<-"110000"
|
||
省编号and省名$省编号[str_like(省编号and省名$省名,paste(paste("%","河北省",sep=""),"%",sep=""), ignore_case = TRUE)]<-"130000"
|
||
省编号and省名$省编号[str_like(省编号and省名$省名,paste(paste("%","上海市",sep=""),"%",sep=""), ignore_case = TRUE)]<-"310000"
|
||
省编号and省名$省编号[str_like(省编号and省名$省名,paste(paste("%","浙江省",sep=""),"%",sep=""), ignore_case = TRUE)]<-"330000"
|
||
省编号and省名$省编号[str_like(省编号and省名$省名,paste(paste("%","四川省",sep=""),"%",sep=""), ignore_case = TRUE)]<-"510000"
|
||
省编号and省名$省编号[str_like(省编号and省名$省名,paste(paste("%","安徽省",sep=""),"%",sep=""), ignore_case = TRUE)]<-"340000"
|
||
省编号and省名$省编号[str_like(省编号and省名$省名,paste(paste("%","贵州省",sep=""),"%",sep=""), ignore_case = TRUE)]<-"520000"
|
||
省编号and省名<-省编号and省名[!duplicated(省编号and省名),]
|
||
}
|
||
|
||
summaryTable<-stri_join("Numberof测试: ",as.character(nrow(df2andInf)),
|
||
"\nNumberof项目名称: ", as.character(Numberof项目名称),
|
||
"\nNumberof批次号: ",as.character(Numberof批次号), " \n",
|
||
"Numberof样品编号： ",as.character(Numberof样品编号)," \n",
|
||
"Numberof批次名称: ",as.character(Numberof批次名称)," \n",
|
||
"Numberof省编号: ",as.character(Numberof省编号)," \n",
|
||
"Numberof省市编号: ",as.character(Numberof省市编号)," \n",
|
||
"Numberof仪器序列号: ",as.character(Numberof仪器序列号)," \n",
|
||
"Numberof详细地址: ",as.character(Numberof详细地址)," \n",
|
||
"Numberof小细胞: ",as.character(Numberof小细胞)," \n",
|
||
"Numberof样本类型: ",as.character(Numberof样本类型)," \n",sep="")
|
||
小细胞<-unique(df2andInf$小细胞)
|
||
Numberof小细胞<-length(小细胞)
|
||
细胞<-data.frame(cbind(1:Numberof小细胞,小细胞))
|
||
colnames(细胞)<-c("ID","细胞")
|
||
细胞0<-细胞[!(str_like(细胞$细胞,paste(paste("%","内部",sep=""),"%",sep=""), ignore_case = TRUE) |
|
||
str_like(细胞$细胞,paste(paste("%","客服",sep=""),"%",sep=""), ignore_case = TRUE) |
|
||
str_like(细胞$细胞,paste(paste("%","医学",sep=""),"%",sep=""), ignore_case = TRUE) ),]
|
||
细胞0<-细胞0[!is.na(细胞0$细胞),]
|
||
细胞0$ID<-1:nrow(细胞0)
|
||
# write_excel_csv(细胞0,file="细胞0.csv")
|
||
|
||
summary(df2andInf$结论)
|
||
summary(df2andInf$是否阳性)
|
||
summary(df2andInf$是否有效)
|
||
|
||
|
||
|
||
|
||
colnames(df2andInf)
|
||
|
||
summary(df2andInf$仪器序列号)
|
||
summary(df2andInf$批次名称)
|
||
|
||
|
||
df20<-df2andInf #[,c(1:11,16,17,20)]
|
||
df20$省编号<-str_c("省编号: ",df20$省编号)
|
||
df20<-df20[complete.cases(df20$测试时间), ]
|
||
df20<-df20[str_length(df20$测试时间)>10, ]
|
||
|
||
|
||
colnames(df20)
|
||
|
||
df20$浓度1<-as.numeric(df20$浓度1)
|
||
df20$C值<-as.numeric(df20$C值)
|
||
df20$T值<-as.numeric(df20$T值)
|
||
df20$ToverC值<-df20$T值/df20$C值
|
||
df20$ToverC值[df20$是否有效==0]<-NA
|
||
|
||
summary(as.numeric(df20$结论))
|
||
summary(df20$浓度1)
|
||
summary(df20$ToverC值)
|
||
|
||
summary(df20$testTimeFromeBegining)
|
||
colnames(df20)
|
||
|
||
|
||
df20$testMonth<-str_sub(df20$测试时间,1,7)
|
||
|
||
|
||
|
||
df20$testDay<-as.Date(str_sub(df20$测试时间,1,10))
|
||
df20<-df20[df20$testDay<="2025-06-05", ]
|
||
|
||
|
||
df20<-df20[complete.cases(df20$testDay), ]
|
||
|
||
summary(df20$testDay)
|
||
|
||
df20$testTime<-as.datetime(str_sub(df20$测试时间,1,19),format='%Y-%m-%d %H:%M:%S')
|
||
|
||
duration<-(max(df20$testTime,na.rm = TRUE)-min(df20$testTime,na.rm = TRUE))/(60.*60.*24.)
|
||
|
||
df20$testTimeFromeToday<-(max(df20$testTime,na.rm = TRUE)-df20$testTime)/(60.*60.*24.)+1.
|
||
|
||
|
||
|
||
summary(df20$testTimeFromeToday)
|
||
dayMax<-max(df20$testTimeFromeToday,na.rm = TRUE)
|
||
|
||
|
||
df2000<-df20
|
||
df20<-df20[df20$testTimeFromeToday<=730,]
|
||
|
||
lastDay<-max(df20$testDay,na.rm = TRUE)
|
||
df20dayLast21<-df20[lastDay-df20$testDay<21,]
|
||
|
||
|
||
dfByDay <- df2000 %>% group_by(testMonth,testDay) %>% summarise(
|
||
测试数 = n(),
|
||
阳性数=sum(结论,na.rm = TRUE),
|
||
有效数=sum(是否有效,na.rm = TRUE),
|
||
样本数=length(unique(样本类型)),
|
||
项目数=length(unique(项目名称)),
|
||
仪器数=length(unique(仪器序列号)),
|
||
批次数=length(unique(批次名称)),
|
||
小细胞数=length(unique(小细胞)),
|
||
市数=length(unique(省市编号)),
|
||
省数=length(unique(省编号))
|
||
)
|
||
dfByDay$阳性率<-dfByDay$阳性数/dfByDay$有效数
|
||
dfByDay$有效率<-dfByDay$有效数/dfByDay$测试数
|
||
dfByDay$阳性数<-as.integer(dfByDay$阳性数)
|
||
dfByDay$测试数<-as.integer(dfByDay$测试数)
|
||
dfByDay$有效数<-as.integer(dfByDay$有效数)
|
||
dfByDay$省数<-as.integer(dfByDay$省数)
|
||
dfByDay <- dfByDay[order(dfByDay$testDay),]
|
||
|
||
|
||
dfByMonth <- df2000 %>% group_by(testMonth) %>% summarise(
|
||
测试数 = n(),
|
||
阳性数=sum(结论,na.rm = TRUE),
|
||
有效数=sum(是否有效,na.rm = TRUE),
|
||
样本数=length(unique(样本类型)),
|
||
项目数=length(unique(项目名称)),
|
||
仪器数=length(unique(仪器序列号)),
|
||
批次数=length(unique(批次名称)),
|
||
小细胞数=length(unique(小细胞)),
|
||
市数=length(unique(省市编号)),
|
||
省数=length(unique(省编号))
|
||
)
|
||
dfByMonth$阳性率<-dfByMonth$阳性数/dfByMonth$有效数
|
||
dfByMonth$有效率<-dfByMonth$有效数/dfByMonth$测试数
|
||
dfByMonth$阳性数<-as.integer(dfByMonth$阳性数)
|
||
dfByMonth$测试数<-as.integer(dfByMonth$测试数)
|
||
dfByMonth$有效数<-as.integer(dfByMonth$有效数)
|
||
dfByMonth$省数<-as.integer(dfByMonth$省数)
|
||
dfByMonth <- dfByMonth[order(dfByMonth$testMonth),]
|
||
dfByMonth <- dfByMonth[nrow(dfByMonth):1,]
|
||
|
||
|
||
|
||
dfBy项目 <- df2000 %>% group_by(项目名称) %>% summarise(
|
||
仪器数=length(unique(仪器序列号)),
|
||
批次数=length(unique(批次名称)),
|
||
样本数=length(unique(样本类型)),
|
||
省数=length(unique(省编号)),
|
||
市数=length(unique(省市编号)),
|
||
小细胞数=length(unique(小细胞)),
|
||
测试数 = n(),
|
||
阳性数=sum(结论,na.rm = TRUE),
|
||
有效数=sum(是否有效,na.rm = TRUE),
|
||
测试开始 = round(max(testTimeFromeToday,na.rm = TRUE),2),
|
||
测试截止 = round(min(testTimeFromeToday,na.rm = TRUE),2)
|
||
)
|
||
dfBy项目$阳性率<-dfBy项目$阳性数/dfBy项目$有效数
|
||
dfBy项目$有效率<-dfBy项目$有效数/dfBy项目$测试数
|
||
dfBy项目$阳性数<-as.integer(dfBy项目$阳性数)
|
||
dfBy项目$测试数<-as.integer(dfBy项目$测试数)
|
||
dfBy项目$有效数<-as.integer(dfBy项目$有效数)
|
||
dfBy项目 <- dfBy项目[order(-dfBy项目$测试数),]
|
||
|
||
|
||
dfBy样本 <- df2000 %>% group_by(样本类型) %>% summarise(
|
||
仪器数=length(unique(仪器序列号)),
|
||
批次数=length(unique(批次名称)),
|
||
项目数=length(unique(项目名称)),
|
||
省数=length(unique(省编号)),
|
||
市数=length(unique(省市编号)),
|
||
小细胞数=length(unique(小细胞)),
|
||
测试数 = n(),
|
||
阳性数=sum(结论,na.rm = TRUE),
|
||
有效数=sum(是否有效,na.rm = TRUE),
|
||
测试开始 = round(max(testTimeFromeToday,na.rm = TRUE),2),
|
||
测试截止 = round(min(testTimeFromeToday,na.rm = TRUE),2)
|
||
)
|
||
dfBy样本$阳性率<-dfBy样本$阳性数/dfBy样本$有效数
|
||
dfBy样本$有效率<-dfBy样本$有效数/dfBy样本$测试数
|
||
dfBy样本$阳性数<-as.integer(dfBy样本$阳性数)
|
||
dfBy样本$测试数<-as.integer(dfBy样本$测试数)
|
||
dfBy样本$有效数<-as.integer(dfBy样本$有效数)
|
||
dfBy样本 <- dfBy样本[order(-dfBy样本$测试数),]
|
||
# write_excel_csv(dfBy样本,file="按样本统计0.csv")
|
||
|
||
dfBy细胞 <- df2000 %>% group_by(小细胞) %>% summarise(
|
||
仪器数=length(unique(仪器序列号)),
|
||
批次数=length(unique(批次名称)),
|
||
样本数=length(unique(样本类型)),
|
||
项目数=length(unique(项目名称)),
|
||
市数=length(unique(省市编号)),
|
||
测试数 = n(),
|
||
阳性数=sum(结论,na.rm = TRUE),
|
||
有效数=sum(是否有效,na.rm = TRUE),
|
||
测试开始 = round(max(testTimeFromeToday,na.rm = TRUE),2),
|
||
测试截止 = round(min(testTimeFromeToday,na.rm = TRUE),2)
|
||
)
|
||
dfBy细胞$阳性率<-dfBy细胞$阳性数/dfBy细胞$有效数
|
||
dfBy细胞$有效率<-dfBy细胞$有效数/dfBy细胞$测试数
|
||
dfBy细胞$阳性数<-as.integer(dfBy细胞$阳性数)
|
||
dfBy细胞$测试数<-as.integer(dfBy细胞$测试数)
|
||
dfBy细胞$有效数<-as.integer(dfBy细胞$有效数)
|
||
dfBy细胞 <- dfBy细胞[order(-dfBy细胞$测试数),]
|
||
# write_excel_csv(dfBy细胞,file="按细胞统计0.csv")
|
||
|
||
dfBy区域 <- df2000 %>% group_by(省编号) %>% summarise(
|
||
仪器数=length(unique(仪器序列号)),
|
||
批次数=length(unique(批次名称)),
|
||
样本数=length(unique(样本类型)),
|
||
项目数=length(unique(项目名称)),
|
||
市数=length(unique(省市编号)),
|
||
小细胞数=length(unique(小细胞)),
|
||
测试数 = n(),
|
||
阳性数=sum(结论,na.rm = TRUE),
|
||
有效数=sum(是否有效,na.rm = TRUE),
|
||
测试开始 = round(max(testTimeFromeToday,na.rm = TRUE),2),
|
||
测试截止 = round(min(testTimeFromeToday,na.rm = TRUE),2)
|
||
)
|
||
dfBy区域$阳性率<-dfBy区域$阳性数/dfBy区域$有效数
|
||
dfBy区域$有效率<-dfBy区域$有效数/dfBy区域$测试数
|
||
dfBy区域$阳性数<-as.integer(dfBy区域$阳性数)
|
||
dfBy区域$测试数<-as.integer(dfBy区域$测试数)
|
||
dfBy区域$有效数<-as.integer(dfBy区域$有效数)
|
||
dfBy区域 <- dfBy区域[order(-dfBy区域$测试数),]
|
||
# write_excel_csv(dfBy区域,file="按区域统计0.csv")
|
||
|
||
省编号<-dfBy区域$省编号
|
||
省编号0<-省编号[str_length(省编号)>8]
|
||
dfBy区域<-dfBy区域[dfBy区域$省编号 %in% 省编号0,]
|
||
|
||
dfBy批次 <- df2000 %>% group_by(批次名称) %>% summarise(
|
||
仪器数=length(unique(仪器序列号)),
|
||
测试数 = n(),
|
||
省数=length(unique(省编号)),
|
||
市数=length(unique(省市编号)),
|
||
小细胞数=length(unique(小细胞)),
|
||
样本数=length(unique(样本类型)),
|
||
项目数=length(unique(项目名称)),
|
||
阳性数=sum(结论,na.rm = TRUE),
|
||
有效数=sum(是否有效,na.rm = TRUE),
|
||
最早测试=min(testDay,na.rm = TRUE),
|
||
最近测试=max(testDay,na.rm = TRUE),
|
||
测试开始 = round(max(testTimeFromeToday,na.rm = TRUE),2),
|
||
测试截止 = round(min(testTimeFromeToday,na.rm = TRUE),2)
|
||
)
|
||
dfBy批次$阳性率<-dfBy批次$阳性数/dfBy批次$有效数
|
||
dfBy批次$有效率<-dfBy批次$有效数/dfBy批次$测试数
|
||
dfBy批次$阳性数<-as.integer(dfBy批次$阳性数)
|
||
dfBy批次$测试数<-as.integer(dfBy批次$测试数)
|
||
dfBy批次$有效数<-as.integer(dfBy批次$有效数)
|
||
dfBy批次$省数<-as.integer(dfBy批次$省数)
|
||
dfBy批次 <- dfBy批次[order(-dfBy批次$测试数),]
|
||
# write_excel_csv(dfBy批次,file="按批次统计0.csv")
|
||
|
||
df20001<-cbind(df2000,IDIndex=1:nrow(df2000))
|
||
dfBy仪器 <- df20001 %>% group_by(仪器序列号) %>% summarise(
|
||
批次数=length(unique(批次名称)),
|
||
测试数 = n(),
|
||
样本数=length(unique(样本类型)),
|
||
项目数=length(unique(项目名称)),
|
||
阳性数=sum(结论,na.rm = TRUE),
|
||
有效数=sum(是否有效,na.rm = TRUE),
|
||
earliestIndex=min(IDIndex),
|
||
medianIndex=median(IDIndex),
|
||
latestIndex=max(IDIndex),
|
||
最早测试=min(testDay,na.rm = TRUE),
|
||
最近测试=max(testDay,na.rm = TRUE),
|
||
测试开始 = round(max(testTimeFromeToday,na.rm = TRUE),2),
|
||
测试截止 = round(min(testTimeFromeToday,na.rm = TRUE),2)
|
||
)
|
||
dfBy仪器$阳性率<-dfBy仪器$阳性数/dfBy仪器$有效数
|
||
dfBy仪器$有效率<-dfBy仪器$有效数/dfBy仪器$测试数
|
||
dfBy仪器$阳性数<-as.integer(dfBy仪器$阳性数)
|
||
dfBy仪器$测试数<-as.integer(dfBy仪器$测试数)
|
||
dfBy仪器$有效数<-as.integer(dfBy仪器$有效数)
|
||
|
||
dfBy仪器$最早测试地点<-df2000$详细地址[dfBy仪器$earliestIndex]
|
||
dfBy仪器$中期测试地点<-df2000$详细地址[dfBy仪器$medianIndex]
|
||
dfBy仪器$最后测试地点<-df2000$详细地址[dfBy仪器$latestIndex]
|
||
dfBy仪器 <- dfBy仪器[order(-dfBy仪器$测试数),]
|
||
|
||
|
||
cname0<-c( "仪器序列号" ,"仪器编号" ,"最早测试地点","中期测试地点", "最后测试地点",
|
||
"开机地点" , "批次数" , "测试数" , "样本数" , "项目数" ,
|
||
"阳性数", "有效数" , "最早测试" , "最近测试" , "测试开始" ,
|
||
"测试截止", "阳性率" , "有效率",
|
||
"SIM卡号" , "发货时间" , "仪器类型" ,
|
||
"总测试量" , "最后一次开机时间" ,"时间差" ,
|
||
"网络类型" , "ip地址" ,
|
||
"用户" , "用户CRM" , "返利表序号" ,
|
||
"申请日期" , "小细胞" , "客户编码" ,
|
||
"代理商名称" , "用户名称" , "规格" ,
|
||
"状态")
|
||
colnames(dfBy仪器)
|
||
dfBy仪器andInf<-merge(dfBy仪器,仪器编号和序列号,by="仪器序列号",all.x=TRUE,all.y=FALSE)
|
||
colnames(dfBy仪器andInf)
|
||
dfBy仪器andInf <- dfBy仪器andInf[order(-dfBy仪器andInf$测试截止),][,cname0]
|
||
|
||
dfBy仪器andInfall<-merge(dfBy仪器,仪器编号和序列号,by="仪器序列号",all.x=TRUE,all.y=TRUE)
|
||
dfBy仪器andInfall <- dfBy仪器andInfall[order(-dfBy仪器andInfall$测试截止),][,cname0]
|
||
|
||
colnames(仪器编号和序列号)
|
||
notFound<-仪器编号和序列号[!(仪器编号和序列号$仪器序列号 %in% dfBy仪器$仪器序列号),]
|
||
|
||
colnames(notFound)
|
||
|
||
cname1<-c( "仪器序列号" ,"仪器编号" ,
|
||
"开机地点" ,
|
||
"SIM卡号" , "发货时间" , "仪器类型" ,
|
||
"总测试量" , "最后一次开机时间" ,"时间差" ,
|
||
"网络类型" , "ip地址" ,
|
||
"用户" , "用户CRM" , "返利表序号" ,
|
||
"申请日期" , "小细胞" , "客户编码" ,
|
||
"代理商名称" , "用户名称" , "规格" ,
|
||
"状态")
|
||
|
||
|
||
if(FALSE) {
|
||
CRMNotFound <- read.csv("CRMNotFound.csv",encoding = "UTF-8",fill = TRUE)
|
||
NoTestSince05012025 <- read.csv("NoTestSince05012025.csv",encoding = "UTF-8",fill = TRUE)
|
||
colnames(CRMNotFound)[c(3,4,5)]<-c("销售申请时间NoCRM","销售申请区域NoCRM","销售申请时代理商名称NoCRM")
|
||
colnames(NoTestSince05012025) [9]<-"备注NoTest"
|
||
|
||
feedbackData<-merge(CRMNotFound,NoTestSince05012025,by="仪器编号",all.x=TRUE,all.y=TRUE)
|
||
colnames(feedbackData)
|
||
colnames(feedbackData)[10]<-"用户onCRM"
|
||
|
||
# write_excel_csv(feedbackData,file="feedbackData07042025.csv")
|
||
仪器编号和序列号feedbackData<-merge(仪器编号和序列号,feedbackData,by="仪器编号",all.x=TRUE,all.y=TRUE)
|
||
colnames(仪器编号和序列号feedbackData)
|
||
|
||
dfBy仪器feedbackDataandInf<-merge(dfBy仪器,仪器编号和序列号feedbackData,by="仪器序列号",all.x=TRUE,all.y=FALSE)
|
||
colnames(dfBy仪器feedbackDataandInf)
|
||
cname0<-c( "仪器序列号" ,"仪器编号" ,"最早测试地点","中期测试地点", "最后测试地点",
|
||
"开机地点" , "批次数" , "测试数" , "样本数" , "项目数" ,
|
||
"阳性数", "有效数" , "最早测试" , "最近测试" , "测试开始" ,
|
||
"测试截止", "阳性率" , "有效率",
|
||
"SIM卡号" , "发货时间" , "仪器类型" ,
|
||
"总测试量" , "最后一次开机时间" ,"时间差" ,
|
||
"网络类型" , "ip地址" ,
|
||
"用户" , "用户CRM" , "返利表序号" ,
|
||
"申请日期" , "小细胞" , "客户编码" ,
|
||
"代理商名称" , "用户名称" , "规格" ,
|
||
"状态","销售申请时间" , "销售申请时间NoCRM" ,
|
||
"销售申请区域NoCRM" , "销售申请时代理商名称NoCRM",
|
||
"是否装机" , "未装机原因" ,
|
||
"备注" , "最后测试时间" ,
|
||
"用户onCRM" , "销售申请日期" ,
|
||
"销售申请区域" , "销售申请时代理商名称" ,
|
||
"销售申请时用户名称" , "无测试原因" ,
|
||
"备注NoTest" )
|
||
dfBy仪器feedbackDataandInf <- dfBy仪器feedbackDataandInf[order(-dfBy仪器feedbackDataandInf$测试截止),][,cname0]
|
||
# write_excel_csv(dfBy仪器feedbackDataandInf,file="仪器统计feedbackandInf.csv")
|
||
dfBy仪器feedbackDataandInfall<-merge(dfBy仪器,仪器编号和序列号feedbackData,by="仪器序列号",all.x=TRUE,all.y=TRUE)
|
||
dfBy仪器feedbackDataandInfall <- dfBy仪器feedbackDataandInfall[order(-dfBy仪器feedbackDataandInfall$测试截止),][,cname0]
|
||
# write_excel_csv(dfBy仪器feedbackDataandInfall,file="仪器统计feedbackandInfall.csv")
|
||
colnames(仪器编号和序列号feedbackData)
|
||
notFoundfeedBack<-仪器编号和序列号feedbackData[!(仪器编号和序列号feedbackData$仪器序列号 %in% dfBy仪器$仪器序列号),]
|
||
|
||
cname1<-c( "仪器序列号" ,"仪器编号" ,
|
||
"开机地点" ,
|
||
"SIM卡号" , "发货时间" , "仪器类型" ,
|
||
"总测试量" , "最后一次开机时间" ,"时间差" ,
|
||
"网络类型" , "ip地址" ,
|
||
"用户" , "用户CRM" , "返利表序号" ,
|
||
"申请日期" , "小细胞" , "客户编码" ,
|
||
"代理商名称" , "用户名称" , "规格" ,
|
||
"状态","销售申请时间" , "销售申请时间NoCRM" ,
|
||
"销售申请区域NoCRM" , "销售申请时代理商名称NoCRM",
|
||
"是否装机" , "未装机原因" ,
|
||
"备注" , "最后测试时间" ,
|
||
"用户onCRM" , "销售申请日期" ,
|
||
"销售申请区域" , "销售申请时代理商名称" ,
|
||
"销售申请时用户名称" , "无测试原因" ,
|
||
"备注NoTest" )
|
||
|
||
colnames(notFoundfeedBack)
|
||
|
||
# write_excel_csv(notFoundfeedBack[,cname1],file="仪器统计NotfoundfeedBack.csv")
|
||
}
|
||
|
||
dfByDayAndLocation <- df2000 %>% group_by(testDay,testMonth,省编号) %>% summarise(
|
||
测试数 = n(),
|
||
阳性数=sum(结论,na.rm = TRUE),
|
||
有效数=sum(是否有效,na.rm = TRUE),
|
||
样本数=length(unique(样本类型)),
|
||
项目数=length(unique(项目名称)),
|
||
仪器数=length(unique(仪器序列号)),
|
||
批次数=length(unique(批次名称)),
|
||
小细胞数=length(unique(小细胞)),
|
||
市数=length(unique(省市编号)),
|
||
省数=length(unique(省编号))
|
||
)
|
||
dfByDayAndLocation$阳性率<-dfByDayAndLocation$阳性数/dfByDayAndLocation$有效数
|
||
dfByDayAndLocation$有效率<-dfByDayAndLocation$有效数/dfByDayAndLocation$测试数
|
||
dfByDayAndLocation$阳性数<-as.integer(dfByDayAndLocation$阳性数)
|
||
dfByDayAndLocation$测试数<-as.integer(dfByDayAndLocation$测试数)
|
||
dfByDayAndLocation$有效数<-as.integer(dfByDayAndLocation$有效数)
|
||
dfByDayAndLocation <- dfByDayAndLocation[order(dfByDayAndLocation$testDay),]
|
||
dfByDayAndLocation<-dfByDayAndLocation[dfByDayAndLocation$省编号 %in% 省编号0,]
|
||
|
||
dfByMonthAndLocation <- df20 %>% group_by(testMonth,省编号) %>% summarise(
|
||
测试数 = n(),
|
||
阳性数=sum(结论,na.rm = TRUE),
|
||
有效数=sum(是否有效,na.rm = TRUE),
|
||
样本数=length(unique(样本类型)),
|
||
项目数=length(unique(项目名称)),
|
||
仪器数=length(unique(仪器序列号)),
|
||
批次数=length(unique(批次名称)),
|
||
小细胞数=length(unique(小细胞)),
|
||
市数=length(unique(省市编号))
|
||
)
|
||
dfByMonthAndLocation$阳性率<-dfByMonthAndLocation$阳性数/dfByMonthAndLocation$有效数
|
||
dfByMonthAndLocation$有效率<-dfByMonthAndLocation$有效数/dfByMonthAndLocation$测试数
|
||
dfByMonthAndLocation$阳性数<-as.integer(dfByMonthAndLocation$阳性数)
|
||
dfByMonthAndLocation$测试数<-as.integer(dfByMonthAndLocation$测试数)
|
||
dfByMonthAndLocation$有效数<-as.integer(dfByMonthAndLocation$有效数)
|
||
dfByMonthAndLocation <- dfByMonthAndLocation[order(dfByMonthAndLocation$testMonth),]
|
||
dfByMonthAndLocation<-dfByMonthAndLocation[dfByMonthAndLocation$省编号 %in% 省编号0,]
|
||
|
||
dfByDayAnd细胞 <- df2000 %>% group_by(testDay,testMonth,小细胞) %>% summarise(
|
||
测试数 = n(),
|
||
阳性数=sum(结论,na.rm = TRUE),
|
||
有效数=sum(是否有效,na.rm = TRUE),
|
||
样本数=length(unique(样本类型)),
|
||
项目数=length(unique(项目名称)),
|
||
仪器数=length(unique(仪器序列号)),
|
||
批次数=length(unique(批次名称))
|
||
)
|
||
dfByDayAnd细胞$阳性率<-dfByDayAnd细胞$阳性数/dfByDayAnd细胞$有效数
|
||
dfByDayAnd细胞$有效率<-dfByDayAnd细胞$有效数/dfByDayAnd细胞$测试数
|
||
dfByDayAnd细胞$阳性数<-as.integer(dfByDayAnd细胞$阳性数)
|
||
dfByDayAnd细胞$测试数<-as.integer(dfByDayAnd细胞$测试数)
|
||
dfByDayAnd细胞$有效数<-as.integer(dfByDayAnd细胞$有效数)
|
||
dfByDayAnd细胞 <- dfByDayAnd细胞[order(dfByDayAnd细胞$testDay),]
|
||
|
||
dfByMonthAnd细胞 <- df20 %>% group_by(testMonth,小细胞) %>% summarise(
|
||
测试数 = n(),
|
||
阳性数=sum(结论,na.rm = TRUE),
|
||
有效数=sum(是否有效,na.rm = TRUE),
|
||
样本数=length(unique(样本类型)),
|
||
项目数=length(unique(项目名称)),
|
||
仪器数=length(unique(仪器序列号)),
|
||
批次数=length(unique(批次名称))
|
||
)
|
||
dfByMonthAnd细胞$阳性率<-dfByMonthAnd细胞$阳性数/dfByMonthAnd细胞$有效数
|
||
dfByMonthAnd细胞$有效率<-dfByMonthAnd细胞$有效数/dfByMonthAnd细胞$测试数
|
||
dfByMonthAnd细胞$阳性数<-as.integer(dfByMonthAnd细胞$阳性数)
|
||
dfByMonthAnd细胞$测试数<-as.integer(dfByMonthAnd细胞$测试数)
|
||
dfByMonthAnd细胞$有效数<-as.integer(dfByMonthAnd细胞$有效数)
|
||
dfByMonthAnd细胞 <- dfByMonthAnd细胞[order(dfByMonthAnd细胞$testMonth),]
|
||
generate_data_table <- function(dim, metric) {
|
||
data <- switch(dim,
|
||
"最后六周按日统计" = read_csv("按日统计0.csv"),
|
||
"按月统计" = read_csv("按月统计0.csv"),
|
||
"按省统计" = read_csv("按区域统计0.csv"),
|
||
"按小细胞统计"=read_csv("按细胞统计0.csv"),
|
||
"按仪器统计" = read_csv("按仪器统计0.csv"),
|
||
"按样本类型统计" = read_csv("按样本统计0.csv"),
|
||
"按试剂批次统计" = read_csv("按批次统计0.csv"),
|
||
"按试剂项目统计" = read_csv("按项目统计0.csv"))
|
||
|
||
metrics <- switch(metric,
|
||
"测试数、阳性数、有效数" = c("测试数", "阳性数", "有效数"),
|
||
"阳性率、有效率" = c("阳性率", "有效率"),
|
||
"批次数、项目数、仪器数、样本数" = c("批次数", "项目数", "仪器数","样本数"),
|
||
"批次数、项目数、仪器数" = c("批次数", "项目数", "仪器数"),
|
||
"省数、市数、小细胞数、样本数" = c("省数", "市数", "小细胞数","样本数"),
|
||
"市数、小细胞数、样本数" = c("市数", "小细胞数","样本数"),
|
||
"测试截止、测试开始" = c("测试截止", "测试开始"),
|
||
"市数、样本数"=c("市数","样本数"),
|
||
"批次数、省数、项目数" = c("批次数", "省数", "项目数"),
|
||
"省数、项目数、样本数" = c("省数", "项目数", "样本数"),
|
||
"批次数、项目数、样本数" = c("批次数", "项目数", "样本数"),
|
||
"批次数、省数、样本数" = c("批次数", "省数", "样本数"),
|
||
"批次数、省数、项目数、小细胞数"=c("批次数","省数","项目数","小细胞数"),
|
||
"省数、项目数、小细胞数、样本数"=c("省数","项目数","小细胞数","样本数"),
|
||
"批次数、省数、小细胞数、样本数"=c("批次数","省数","小细胞数","样本数"),
|
||
"批次数、项目数、小细胞数、样本数"=c("批次数","项目数","小细胞数","样本数"))
|
||
|
||
|
||
data %>% select(all_of(metrics))
|
||
}
|
||
|
||
# 图表生成函数
|
||
dfByDay1<-dfByDay[lastDay-dfByDay$testDay<42,]
|
||
dfByDayAndLocation1<-dfByDayAndLocation[lastDay-dfByDayAndLocation$testDay<42,]
|
||
dfByMonth1<-dfByMonth[1:30,]
|
||
仪器号List0<-cbind(dfBy仪器,GroupID=rep00[1:length(dfBy仪器$仪器序列号)])
|
||
仪器号List<-仪器号List0[,c(1,ncol(仪器号List0))]
|
||
dfBy仪器$仪器序列号<-factor(dfBy仪器$仪器序列号,levels = 仪器号List[,1])
|
||
批次号List0<-cbind(dfBy批次,GroupID=rep00[1:length(dfBy批次$批次名称)])
|
||
批次号List<-批次号List0[,c(1,ncol(批次号List0))]
|
||
dfBy批次$批次名称<-factor(dfBy批次$批次名称,levels = 批次号List[,1])
|
||
项目号List0<-cbind(dfBy项目,GroupID=rep00[1:length(dfBy项目$项目名称)])
|
||
项目号List<-项目号List0[,c(1,ncol(项目号List0))]
|
||
dfBy项目$项目名称<-factor(dfBy项目$项目名称,levels = 项目号List[,1])
|
||
dfByDayAnd细胞1<-dfByDayAnd细胞[lastDay-dfByDayAnd细胞$testDay<42,]
|
||
|
||
lenhalf<-length(dfBy细胞$小细胞)/2
|
||
dfBy细胞1<-dfBy细胞[dfBy细胞$小细胞 %in% dfBy细胞$小细胞[1:lenhalf],]
|
||
dfBy细胞2<-dfBy细胞[dfBy细胞$小细胞 %in% dfBy细胞$小细胞[(1+lenhalf):length(dfBy细胞$小细胞)],]
|
||
generate_plot <- function(data, dim, metric, way, page = 1) {
|
||
|
||
per <- 6 # 每页子图数量
|
||
offset <- (page - 1) * per # 起始下标
|
||
per2 <- 2
|
||
# ---- 函数内部的小工具：切片 ----
|
||
slice_vec <- function(vec, offset, per) {
|
||
vec[ (offset + 1) : min(offset + per, length(vec)) ]
|
||
}
|
||
|
||
# ---- 开始分发 ----
|
||
p <- switch(dim,
|
||
|
||
# ---------- 1. 最后六周按日统计 ----------
|
||
"最后六周按日统计" = {
|
||
switch(way,
|
||
"按日分省统计" = {
|
||
choosenList <- slice_vec(dfBy区域$省编号, offset, per)
|
||
if(length(choosenList) == 0) return(NULL)
|
||
switch(metric,
|
||
"测试数、阳性数、有效数" = {
|
||
panelPlotByDayAndLocation(dfByDayAndLocation1, choosenList,
|
||
"testDay", "省编号",
|
||
c("测试数","有效数","阳性数"),
|
||
c("最后六周按日分省统计","测试时间","统计数值",""))
|
||
},
|
||
"阳性率、有效率" = {
|
||
panelPlotByDayAndLocation(dfByDayAndLocation1, choosenList,
|
||
"testDay", "省编号",
|
||
c("有效率","阳性率"),
|
||
c("最后六周按日分省统计","测试时间","统计数值",""))
|
||
},
|
||
"批次数、项目数、仪器数" = {
|
||
panelPlotByDayAndLocation(dfByDayAndLocation1, choosenList,
|
||
"testDay", "省编号",
|
||
c("项目数","仪器数","批次数"),
|
||
c("最后六周按日分省统计","测试时间","统计数值",""))
|
||
},
|
||
"省数、市数、小细胞数、样本数" = {
|
||
panelPlotByDayAndLocation(dfByDayAndLocation1, choosenList,
|
||
"testDay", "省编号",
|
||
c("样本数","市数","省数","小细胞数"),
|
||
c("最后六周按日分省统计","测试时间","统计数值",""))
|
||
}
|
||
)
|
||
},
|
||
"按日分小细胞统计" = {
|
||
choosenList <- slice_vec(细胞0$细胞, offset, per)
|
||
if(length(choosenList) == 0) return(NULL)
|
||
switch(metric,
|
||
"测试数、阳性数、有效数" = {
|
||
panelPlotByDayAnd细胞(dfByDayAnd细胞1, choosenList,
|
||
"testDay", "小细胞",
|
||
c("测试数","有效数","阳性数"),
|
||
c("最后六周按日分小细胞统计","测试时间","统计数值",""))
|
||
},
|
||
"阳性率、有效率" = {
|
||
panelPlotByDayAnd细胞(dfByDayAnd细胞1, choosenList,
|
||
"testDay", "小细胞",
|
||
c("有效率","阳性率"),
|
||
c("最后六周按日分小细胞统计","测试时间","统计数值",""))
|
||
},
|
||
"批次数、项目数、仪器数、样本数" = {
|
||
panelPlotByDayAnd细胞(dfData=dfByDayAnd细胞1,choosenList,independentVariableName="testDay",panelName="小细胞",
|
||
dependentVariableNames=c("项目数","仪器数","批次数","样本数"),titleNames=c("最后六周按日分小细胞统计","测试时间","统计数值",""))
|
||
}
|
||
|
||
|
||
)
|
||
},
|
||
"全部统计" = {
|
||
switch(metric,
|
||
"测试数、阳性数、有效数" =
|
||
plotfunction(dfByDay1, "testDay", c("测试数","有效数","阳性数"),
|
||
c("最后六周按日统计","测试时间","统计数值","")),
|
||
"阳性率、有效率" =
|
||
plotfunction(dfByDay1, "testDay", c("有效率","阳性率"),
|
||
c("最后六周按日统计","测试时间","统计数值","")),
|
||
"批次数、项目数、仪器数" =
|
||
plotfunction(dfByDay1, "testDay", c("项目数","仪器数","批次数"),
|
||
c("最后六周按日统计","测试时间","统计数值","")),
|
||
"省数、市数、小细胞数、样本数" =
|
||
plotfunction(dfByDay1, "testDay", c("样本数","市数","省数","小细胞数"),
|
||
c("最后六周按日统计","测试时间","统计数值",""))
|
||
)
|
||
}
|
||
)
|
||
},
|
||
|
||
# ---------- 2. 按月统计 ----------
|
||
"按月统计" = {
|
||
switch(way,
|
||
"按月分省统计" = {
|
||
choosenList <- slice_vec(dfBy区域$省编号, offset, per)
|
||
if(length(choosenList) == 0) return(NULL)
|
||
switch(metric,
|
||
"测试数、阳性数、有效数" = {
|
||
panelPlotByMonthAndLocation(dfByMonthAndLocation, choosenList,
|
||
"testMonth", "省编号",
|
||
c("测试数","有效数","阳性数"),
|
||
c("按月分省统计","测试时间","统计数值",""))
|
||
},
|
||
"阳性率、有效率" = {
|
||
panelPlotByMonthAndLocation(dfByMonthAndLocation, choosenList,
|
||
"testMonth", "省编号",
|
||
c("有效率","阳性率"),
|
||
c("按月分省统计","测试时间","统计数值",""))
|
||
},
|
||
"批次数、项目数、仪器数" = {
|
||
panelPlotByMonthAndLocation(dfByMonthAndLocation, choosenList,
|
||
"testMonth", "省编号",
|
||
c("项目数","仪器数","批次数"),
|
||
c("按月分省统计","测试时间","统计数值",""))
|
||
},
|
||
"市数、小细胞数、样本数" = {
|
||
panelPlotByMonthAndLocation(dfByMonthAndLocation, choosenList,
|
||
"testMonth", "省编号",
|
||
c("样本数","市数","小细胞数"),
|
||
c("按月分省统计","测试时间","统计数值",""))
|
||
}
|
||
)
|
||
},
|
||
"按月分小细胞统计" = {
|
||
choosenList <- slice_vec(细胞0$细胞, offset, per)
|
||
if(length(choosenList) == 0) return(NULL)
|
||
switch(metric,
|
||
"测试数、阳性数、有效数" = {
|
||
panelPlotByMonthAnd细胞(dfByMonthAnd细胞, choosenList,
|
||
"testMonth", "小细胞",
|
||
c("测试数","有效数","阳性数"),
|
||
c("按月分小细胞统计","测试时间","统计数值",""))
|
||
},
|
||
"阳性率、有效率" = {
|
||
panelPlotByMonthAnd细胞(dfByMonthAnd细胞, choosenList,
|
||
"testMonth", "小细胞",
|
||
c("有效率","阳性率"),
|
||
c("按月分小细胞统计","测试时间","统计数值",""))
|
||
},
|
||
"批次数、项目数、仪器数、样本数" = {
|
||
panelPlotByMonthAnd细胞(dfData=dfByMonthAnd细胞,choosenList,independentVariableName="testMonth",panelName="小细胞",
|
||
dependentVariableNames=c("项目数","仪器数","批次数","样本数"),titleNames=c("按月分小细胞统计","测试时间","统计数值",""))
|
||
}
|
||
|
||
)
|
||
},
|
||
"全部统计" = {
|
||
switch(metric,
|
||
"测试数、阳性数、有效数" =
|
||
plotfunction(dfByMonth1, "testMonth", c("测试数","有效数","阳性数"),
|
||
c("按月统计","测试时间","统计数值","")),
|
||
"阳性率、有效率" =
|
||
plotfunction(dfByMonth1, "testMonth", c("有效率","阳性率"),
|
||
c("按月统计","测试时间","统计数值","")),
|
||
"批次数、项目数、仪器数" =
|
||
plotfunction(dfByMonth1, "testMonth", c("项目数","仪器数","批次数"),
|
||
c("按月统计","测试时间","统计数值","")),
|
||
"省数、市数、小细胞数、样本数" =
|
||
plotfunction(dfByMonth1, "testMonth", c("样本数","市数","省数","小细胞数"),
|
||
c("按月统计","测试时间","统计数值",""))
|
||
)
|
||
}
|
||
)
|
||
},
|
||
|
||
"按小细胞统计" = {
|
||
if (page == 1) {
|
||
switch(metric,
|
||
"测试数、阳性数、有效数" = plotfunction(dfBy细胞1,"小细胞",c("测试数","有效数","阳性数"),c("按小细胞统计","细胞","统计数值","")),
|
||
"阳性率、有效率" = plotfunction(dfBy细胞1, "小细胞", c("有效率","阳性率"), c("按小细胞统计","细胞","统计数值","")),
|
||
"批次数、项目数、仪器数" = plotfunction(dfBy细胞1, "小细胞", c("项目数","仪器数","批次数"), c("按小细胞统计","细胞","统计数值","")),
|
||
"市数、样本数" = plotfunction(dfBy细胞1, "小细胞", c("样本数","市数"), c("按小细胞统计","细胞","统计数值","")),
|
||
"测试截止、测试开始" = plotfunctionLog(dfBy细胞1, "小细胞", c("测试开始","测试截止"), c("按小细胞统计","细胞","多少天之前",""))
|
||
)
|
||
} else if (page == 2) {
|
||
switch(metric,
|
||
"测试数、阳性数、有效数" = plotfunction(dfBy细胞2,"小细胞",c("测试数","有效数","阳性数"),c("按小细胞统计","细胞","统计数值","")),
|
||
"阳性率、有效率" = plotfunction(dfBy细胞2, "小细胞", c("有效率","阳性率"), c("按小细胞统计","细胞","统计数值","")),
|
||
"批次数、项目数、仪器数" = plotfunction(dfBy细胞2, "小细胞", c("项目数","仪器数","批次数"), c("按小细胞统计","细胞","统计数值","")),
|
||
"市数、样本数" = plotfunction(dfBy细胞2, "小细胞", c("样本数","市数"), c("按小细胞统计","细胞","统计数值","")),
|
||
"测试截止、测试开始" = plotfunctionLog(dfBy细胞2, "小细胞", c("测试开始","测试截止"), c("按小细胞统计","细胞","多少天之前",""))
|
||
)
|
||
}
|
||
},
|
||
|
||
# ---------- 3. 其它维度（不需要分页） ----------
|
||
"按省统计" = {
|
||
switch(metric,
|
||
"测试数、阳性数、有效数" = plotfunction(dfBy区域, "省编号", c("测试数","有效数","阳性数"), c("按省统计","省编号","统计数值","")),
|
||
"阳性率、有效率" = plotfunction(dfBy区域, "省编号", c("有效率","阳性率"), c("按省统计","省编号","统计数值","")),
|
||
"批次数、项目数、仪器数" = plotfunction(dfBy区域, "省编号", c("项目数","仪器数","批次数"), c("按省统计","省编号","统计数值","")),
|
||
"市数、小细胞数、样本数" = plotfunction(dfBy区域, "省编号", c("样本数","市数","小细胞数"), c("按省统计","省编号","统计数值","")),
|
||
"测试截止、测试开始" = plotfunctionLog(dfBy区域, "省编号", c("测试开始","测试截止"), c("按省统计","省编号","多少天之前",""))
|
||
)
|
||
},
|
||
|
||
"按仪器统计" = {
|
||
switch(metric,
|
||
"测试数、阳性数、有效数" = plotfunctionVector仪器序列号(1, 仪器号List, dfBy仪器, "仪器序列号", c("测试数","有效数","阳性数"), c("按仪器统计","仪器序列号","统计数值","")),
|
||
"批次数、项目数、样本数" = plotfunctionVector仪器序列号(1, 仪器号List, dfBy仪器, "仪器序列号", c("项目数","样本数","批次数"), c("按仪器统计","仪器序列号","统计数值","")),
|
||
"阳性率、有效率" = plotfunctionVector仪器序列号(1, 仪器号List, dfBy仪器, "仪器序列号", c("有效率","阳性率"), c("按仪器统计","仪器序列号","统计数值","")),
|
||
"测试截止、测试开始" = plotfunctionVector仪器序列号Log(1, 仪器号List, dfBy仪器, "仪器序列号", c("测试开始","测试截止"), c("按仪器统计","仪器序列号","多少天之前",""))
|
||
)
|
||
},
|
||
"按样本类型统计" = {
|
||
switch(metric,
|
||
"测试数、阳性数、有效数" = plotfunction(dfBy样本, "样本类型", c("测试数","有效数","阳性数"), c("按样本类型统计","样本类型","统计数值","")),
|
||
"批次数、省数、项目数、小细胞数" = plotfunction(dfBy样本, "样本类型", c("项目数","批次数","省数","小细胞数"), c("按样本类型统计","样本类型","统计数值","")),
|
||
"阳性率、有效率" = plotfunction(dfBy样本, "样本类型", c("有效率","阳性率"), c("按样本类型统计","样本类型","统计数值","")),
|
||
"测试截止、测试开始" = plotfunctionLog(dfBy样本, "样本类型", c("测试开始","测试截止"), c("按样本类型统计","样本类型","多少天之前",""))
|
||
)
|
||
},
|
||
"按试剂批次统计" = {
|
||
switch(metric,
|
||
"测试数、阳性数、有效数" = plotfunctionVector批次名称(1, 批次号List, dfBy批次, "批次名称", c("测试数","有效数","阳性数"), c("按批次统计","批次名称","统计数值","")),
|
||
"省数、项目数、小细胞数、样本数" = plotfunctionVector批次名称(1, 批次号List, dfBy批次, "批次名称", c("项目数","样本数","省数","小细胞数"), c("按试剂批次统计","批次名称","统计数值","")),
|
||
"阳性率、有效率" = plotfunctionVector批次名称(1, 批次号List, dfBy批次, "批次名称", c("有效率","阳性率"), c("按试剂批次统计","批次名称","统计数值","")),
|
||
"测试截止、测试开始" = plotfunctionVector批次名称Log(1, 批次号List, dfBy批次, "批次名称", c("测试开始","测试截止"), c("按试剂批次统计","批次名称","多少天之前",""))
|
||
)
|
||
},
|
||
"按试剂项目统计" = {
|
||
switch(metric,
|
||
"测试数、阳性数、有效数" = plotfunctionVector项目名称(1, 项目号List, dfBy项目, "项目名称", c("测试数","有效数","阳性数"), c("按项目统计","项目名称","统计数值","")),
|
||
"批次数、省数、小细胞数、样本数" = plotfunctionVector项目名称(1, 项目号List, dfBy项目, "项目名称", c("批次数","样本数","省数","小细胞数"), c("按试剂项目统计","项目名称","统计数值","")),
|
||
"阳性率、有效率" = plotfunctionVector项目名称(1, 项目号List, dfBy项目, "项目名称", c("有效率","阳性率"), c("按试剂项目统计","项目名称","统计数值","")),
|
||
"测试截止、测试开始" = plotfunctionVector项目名称Log(1, 项目号List, dfBy项目, "项目名称", c("测试开始","测试截止"), c("按试剂项目统计","项目名称","多少天之前",""))
|
||
)
|
||
}
|
||
)
|
||
return(p)
|
||
}
|
||
|
||
shinyApp(ui = ui, server = server) |