library(shiny) library(DT) library(ggplot2) library(dplyr) library(readr) library(Cairo) library(ggplot2) library(stringi) library(stringr) library(datetime) library(dplyr) library(ggthemes) library(RMySQL) csv_map <- list( "最后六周按日统计" = "按日统计0.csv", "按月统计" = "按月统计0.csv", "按省统计" = "按区域统计0.csv", "按小细胞统计" = "按细胞统计0.csv", "按仪器统计" = "按仪器统计0.csv", "按样本类型统计" = "按样本统计0.csv", "按试剂批次统计" = "按批次统计0.csv", "按试剂项目统计" = "按项目统计0.csv" ) ui <- fluidPage( titlePanel("和迈数据分析平台"), sidebarLayout( sidebarPanel( width = 3, # 设置侧边栏宽度为 2（更小） selectInput("stat_dim", "选择统计维度", choices = names(csv_map)), uiOutput("metric_group"), uiOutput("stat_way") ), mainPanel( width = 9, tabsetPanel( tabPanel("数据表格", DTOutput("data_table")), tabPanel("图表展示", uiOutput("pagination_ui"), plotOutput("main_plot")) ) ) ) ) # 定义服务器逻辑 server <- function(input, output) { current_page <- reactiveVal(1) output$pagination_ui <- renderUI({ req(input$stat_dim, input$metric, input$stat_way_sel) max_pages <- switch(input$stat_dim, "最后六周按日统计" = { if (input$stat_way_sel == "按日分省统计") { ceiling(length(dfBy区域$省编号) / 6) } else if (input$stat_way_sel == "按日分小细胞统计") { ceiling(length(细胞0$细胞) / 6) } else 1 }, "按月统计" = { if (input$stat_way_sel == "按月分省统计") { ceiling(length(dfBy区域$省编号) / 6) } else if (input$stat_way_sel == "按月分小细胞统计") { ceiling(length(细胞0$细胞) / 6) } else 1 }, "按小细胞统计" = 2, 1) if (max_pages > 1) { tagList( actionButton("prev_page", "上一页"), span(paste("第", current_page(), "页 / 共", max_pages, "页")), actionButton("next_page", "下一页") ) } }) observeEvent(input$prev_page, { if (current_page() > 1) current_page(current_page() - 1) }) observeEvent(input$next_page, { max_pages <- switch(input$stat_dim, "最后六周按日统计" = { if (input$stat_way_sel == "按日分省统计") { ceiling(length(dfBy区域$省编号) / 6) } else if (input$stat_way_sel == "按日分小细胞统计") { ceiling(length(细胞0$细胞) / 6) } else 1 }, "按月统计" = { if (input$stat_way_sel == "按月分省统计") { ceiling(length(dfBy区域$省编号) / 6) } else if (input$stat_way_sel == "按月分小细胞统计") { ceiling(length(细胞0$细胞) / 6) } else 1 }, "按小细胞统计" = 2, 1) if (current_page() < max_pages) current_page(current_page() + 1) }) # 动态生成第二栏：指标分组 output$metric_group <- renderUI({ metric_choices <- switch(input$stat_dim, "最后六周按日统计" = list("测试数、阳性数、有效数", "阳性率、有效率", "批次数、项目数、仪器数", "省数、市数、小细胞数、样本数", "批次数、项目数、仪器数、样本数" ), "按月统计" = list("测试数、阳性数、有效数", "阳性率、有效率", "批次数、项目数、仪器数", "省数、市数、小细胞数、样本数", "批次数、项目数、仪器数、样本数" ), "按省统计" = list("测试数、阳性数、有效数", "阳性率、有效率", "批次数、项目数、仪器数", "市数、小细胞数、样本数", "测试截止、测试开始"), "按小细胞统计"=list("测试数、阳性数、有效数", "阳性率、有效率", "批次数、项目数、仪器数", "市数、样本数", "测试截止、测试开始"), "按仪器统计" = list("测试数、阳性数、有效数", "批次数、项目数、样本数", "阳性率、有效率", "测试截止、测试开始"), "按样本类型统计" = list("测试数、阳性数、有效数", "批次数、省数、项目数、小细胞数", "阳性率、有效率", "测试截止、测试开始"), "按试剂批次统计" = list("测试数、阳性数、有效数", "省数、项目数、小细胞数、样本数", "阳性率、有效率", "测试截止、测试开始"), "按试剂项目统计" = list("测试数、阳性数、有效数", "批次数、省数、小细胞数、样本数", "阳性率、有效率", "测试截止、测试开始")) selectInput("metric", "选择指标分组", choices = metric_choices) }) # 动态生成第三栏：统计方式 output$stat_way <- renderUI({ way_choices <- switch(input$stat_dim, "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"), "按月统计" = c("按月分省统计", "全部统计","按月分小细胞统计"), "按省统计" = "全部统计", "按小细胞统计" = "全部统计", "按仪器统计" = "全部统计", "按样本类型统计" = "全部统计", "按试剂批次统计" = "全部统计", "按试剂项目统计"="全部统计") if (is.character(way_choices)) { selectInput("stat_way_sel", "选择统计方式", choices = way_choices) } else { NULL } }) data_raw <- reactive({ read_csv(csv_map[[input$stat_dim]]) }) # 生成数据表格 output$data_table <- renderDT({ datatable(data_raw(), options = list(pageLength = 10)) }) # 生成图表 output$main_plot <- renderPlot({ req(input$stat_dim, input$metric, input$stat_way_sel) data <- generate_data_table(input$stat_dim, input$metric) # 把当前页码传进去 generate_plot(data, input$stat_dim, input$metric, input$stat_way_sel, current_page()) }) } plotfunction<- function(dfData,independentVariableName,dependentVariableNames,titleNames) { lth1<-length(dependentVariableNames) dfData00<-data.frame() for(i in 1:lth1){ dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,dependentVariableNames[i])]) colnames(dfData0)<-c("Group",c(independentVariableName,"Count")) dfData00<-rbind(dfData00,dfData0) } plot1<-ggplot(dfData00, aes(x = dfData00[,2], y = Count, fill = Group)) + geom_col( position = position_dodge(width = 0.4), # 控制条间距 width = 0.7 # 条宽度 ) + geom_line( aes(group = Group, color = Group), position = position_dodge(width = 0.4), size = 1, linetype="dashed", show.legend=FALSE, alpha = 1.0 ) + scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色 geom_text( aes(label = round(Count,2)), # 标签内容 position = position_dodge(width = 0.4), # 与柱子位置一致 vjust = -0.4, # 垂直位置（负值向上） color = "black", # 标签颜色 size = 3 # 字体大小 ) + labs( title = titleNames[1], x = titleNames[2], y = titleNames[3], fill = titleNames[4] ) + scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色 theme_minimal() + theme( plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"), axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"), axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"), axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") , axis.text.y = element_text(size=12,face = "bold",family = "SimSun"), legend.text = element_text(size=12,family = "SimSun"), # 图例文本 legend.title = element_text(size=12,family = "SimSun"), # 图例标题 legend.position = "right") plot1 } plotfunctionVector仪器序列号<- function(ik,independentVariableList,dfData,independentVariableName,dependentVariableNames,titleNames) { dfData<-dfData[(dfData$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 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批次名称<- function(ik,independentVariableList,dfData,independentVariableName,dependentVariableNames,titleNames) { dfData<-dfData[(dfData$批次名称 %in% c(independentVariableList[independentVariableList[,2]==ik,][,1])),] lth1<-length(dependentVariableNames) dfData00<-data.frame() for(i in 1:lth1){ dfData0<-cbind(dependentVariableNames[i],dfData[,c(independentVariableName,dependentVariableNames[i])]) colnames(dfData0)<-c("Group",c(independentVariableName,"Count")) dfData00<-rbind(dfData00,dfData0) } plot1<-ggplot(dfData00, aes(x = dfData00[,2], y = Count, fill = Group)) + geom_col( position = position_dodge(width = 0.4), # 控制条间距 width = 0.7 # 条宽度 ) + geom_line( aes(group = Group, color = Group), position = position_dodge(width = 0.4), size = 1, linetype="dashed", show.legend=FALSE, alpha = 1.0 ) + scale_color_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色 geom_text( aes(label = round(Count,2)), # 标签内容 position = position_dodge(width = 0.4), # 与柱子位置一致 vjust = -0.4, # 垂直位置（负值向上） color = "black", # 标签颜色 size = 3 # 字体大小 ) + labs( title = titleNames[1], x = titleNames[2], y = titleNames[3], fill = titleNames[4] ) + scale_fill_manual(values = c("red", "blue","green","yellow")) + # 自定义颜色 theme_minimal() + theme( plot.title = element_text(size = 14, face = "bold", hjust = 0.5,family = "SimSun"), axis.title.x = element_text(size = 14, face = "bold",family = "SimSun"), axis.title.y = element_text(size = 14, face = "bold",family = "SimSun"), axis.text.x = element_text(size = 12, face = "bold",angle=90,family = "SimSun") , axis.text.y = element_text(size=12,face = "bold",family = "SimSun"), legend.text = element_text(size=12,family = "SimSun"), # 图例文本 legend.title = element_text(size=12,family = "SimSun"), # 图例标题 legend.position = "right") plot1 #return (list(plotdfDataNumber,b23,b33,b43,b53)) } plotfunctionVector批次名称Log<- function(ik,independentVariableList,dfData,independentVariableName,dependentVariableNames,titleNames) { dfData<-dfData[(dfData$批次名称 %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)) } 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)