Javascript 向R中的嵌套数据表添加其他按钮
是否有方法向嵌套数据表中的父行和子行添加其他操作按钮？我尝试过通过JS和闪亮面添加按钮，但似乎不起作用。有什么建议吗？大部分代码都是从这篇文章中借来的：谢谢Javascript 向R中的嵌套数据表添加其他按钮,javascript,r,shiny,datatables,dt,Javascript,R,Shiny,Datatables,Dt,是否有方法向嵌套数据表中的父行和子行添加其他操作按钮？我尝试过通过JS和闪亮面添加按钮，但似乎不起作用。有什么建议吗？大部分代码都是从这篇文章中借来的：谢谢 库（data.table） 图书馆（DT） 图书馆（purrr） 图书馆（闪亮） 图书馆（dplyr） 图书馆（foreach） 库（数据表） 图书馆（tidyverse） dfdat0=iris[1:3，]#主表，三行 dat01=空气质量[1:4，]| |-第一排的子级 dat02=cars[1:2，]| |-第二行的子行，有两行 da
库（data.table）
图书馆（DT）
图书馆（purrr）
图书馆（闪亮）
图书馆（dplyr）
图书馆（foreach）
库（数据表）
图书馆（tidyverse）
dfdat0=iris[1:3，]#主表，三行
dat01=空气质量[1:4，]| |-第一排的子级
dat02=cars[1:2，]| |-第二行的子行，有两行
dat021=mtcars[1:3，]|| |-dat02第一行的子级
dat022=植物生长[1:4，]| | |-dat02第二行的子级
dat03=data.frame（NULL）|-第三行没有子行
#添加按钮
dat01有什么困难？您只需将作为.character（actionButton（…
）放入所需的单元格中。您知道我可以参考的示例吗？还有，escape=FALSE是否起作用？我尝试过这种方法：thanksError其中（Dat[，1]！=“”）：未找到对象“Dat”，而且还有不必要的库（）在代码中调用。请删除它们。我遇到了相同的问题，由于某种原因，它在中找不到Dat（Dat[，1]！=”）
。它以前工作过。
library(data.table)
library(DT)
library(purrr)
library(shiny)
library(dplyr)
library(foreach)
library(data.table)
library(tidyverse)
df <- data.frame("Gene.5" = c("PDE1A", "SLC45A3", "SLC45A3", "SLC45A3", "TARBP1", "CUL4A", "CUL4A"),
"Junction.5" = c("chr2:182198385:-", "chr1:205680393:-", "chr1:205680393:-", "chr1:205680393:-", "chr1:234420701:-", "chr13:113245060:+", "chr13:113245060:+"),
"Gene.3" = c("ELK4", "ETV2", "ETV2", "ETV2", "CEACAM1", "chr13_q32.3", "chr13_q32.3"),
"Junction.3" = c("chr1:205623892:-", "chr19:35642433:+", "chr19:35642614:+", "chr19:35642964:+", "chr19:42522203:-", "chr13:100068494:-", "chr13:100069868:-"),
"breakpoints" = c("1", "5", "5", "5", "2", "3", "3"),
"primary" = c("p","p","s","s","p","p","s")
)
head(df)
gene_list <- c("SLC45A3", "CUL4A")
df$V4=(
df$Gene.5 %in% gene_list |
df$Gene.3 %in% gene_list
)
print(df)
par <- subset(df, df$primary == 'p')
ch <- df
all <-rbind(par,ch) #rbind the columns
ch_only_df <- all[!duplicated(all,fromLast = FALSE)&!duplicated(all,fromLast = TRUE),]
print(ch_only_df)
children_list<-list()
for (row in 1:nrow(par)) {
g5 <- paste(par[row, "Gene.5"])
print(g5)
g3 <- paste(par[row, "Gene.3"])
tdf <- subset(ch_only_df, ch_only_df$Gene.5 == g5 & ch_only_df$Gene.3 == g3)
if (nrow(tdf)<1){
children_list[[row]] <- data.frame(NULL)
}else{
children_list[[row]] <- tdf
}
}
children_list
NestedData <- function(dat, children){
stopifnot(length(children) == nrow(dat))
g <- function(d){
if(is.data.frame(d)){
purrr::transpose(d)
}else{
purrr::transpose(NestedData(d[[1]], children = d$children))
}
}
subdats <- lapply(children, g)
oplus <- sapply(subdats, function(x) if(length(x)) "⊕" else "")
cbind(" " = oplus, dat, "_details" = I(subdats), stringsAsFactors = FALSE)
}
rowNames <- FALSE
colIdx <- as.integer(rowNames)
ui <- fluidPage(# Application title
titlePanel("Example"),
checkboxInput("unroll", label = "Panel Genes", value = FALSE),
tags$hr(),
mainPanel(DTOutput("my_table"))
)
server <- function(input, output) {
market_mix_table <- reactive({
Dat <- NestedData(
dat = par,
children = children_list
)
if (!input$unroll) {
Dat
} else {
Dat <- subset(Dat, Dat$V4 == TRUE)
}
return(Dat)
})
## make the callback
parentRows <- which(Dat[,1] != "")
callback = JS(
sprintf("var parentRows = [%s];", toString(parentRows-1)),
sprintf("var j0 = %d;", colIdx),
"var nrows = table.rows().count();",
"for(var i=0; i < nrows; ++i){",
" if(parentRows.indexOf(i) > -1){",
" table.cell(i,j0).nodes().to$().css({cursor: 'pointer'});",
" }else{",
" table.cell(i,j0).nodes().to$().removeClass('details-control');",
" }",
"}",
"",
"// make the table header of the nested table",
"var format = function(d, childId){",
" if(d != null){",
" var html = ",
" '<table class=\"display compact hover\" ' + ",
" 'style=\"padding-left: 30px;\" id=\"' + childId + '\"><thead><tr>';",
" for(var key in d[d.length-1][0]){",
" html += '<th>' + key + '</th>';",
" }",
" html += '</tr></thead></table>'",
" return html;",
" } else {",
" return '';",
" }",
"};",
"",
"// row callback to style the rows of the child tables",
"var rowCallback = function(row, dat, displayNum, index){",
" if($(row).hasClass('odd')){",
" $(row).css('background-color', '##DDDDDD');",
" $(row).hover(function(){",
" $(this).css('background-color', '#DDDDDD');",
" }, function() {",
" $(this).css('background-color', '##DDDDDD');",
" });",
" } else {",
" $(row).css('background-color', '#EAF2F8');",
" $(row).hover(function(){",
" $(this).css('background-color', '#DDDDDD');",
" }, function() {",
" $(this).css('background-color', '#EAF2F8');",
" });",
" }",
"};",
"",
"// header callback to style the header of the child tables",
"var headerCallback = function(thead, data, start, end, display){",
" $('th', thead).css({",
" 'border-top': '3px solid indigo',",
" 'color': '#00274c',",
" 'background-color': '##DDDDDD'",
" });",
"};",
"",
"// make the datatable",
"var format_datatable = function(d, childId){",
" var dataset = [];",
" var n = d.length - 1;",
" for(var i = 0; i < d[n].length; i++){",
" var datarow = $.map(d[n][i], function (value, index) {",
" return [value];",
" });",
" dataset.push(datarow);",
" }",
" var id = 'table#' + childId;",
" if (Object.keys(d[n][0]).indexOf('_details') === -1) {",
" var subtable = $(id).DataTable({",
" 'data': dataset,",
" 'autoWidth': true,",
" 'deferRender': true,",
" 'info': false,",
" 'lengthChange': false,",
" 'ordering': d[n].length > 1,",
" 'order': [],",
" 'paging': false,",
" 'scrollX': false,",
" 'scrollY': false,",
" 'searching': false,",
" 'sortClasses': false,",
" 'rowCallback': rowCallback,",
" 'headerCallback': headerCallback,",
" 'columnDefs': [{targets: '_all', className: 'dt-center'}]",
" });",
" } else {",
" var subtable = $(id).DataTable({",
" 'data': dataset,",
" 'autoWidth': true,",
" 'deferRender': true,",
" 'info': false,",
" 'lengthChange': false,",
" 'ordering': d[n].length > 1,",
" 'order': [],",
" 'paging': false,",
" 'scrollX': false,",
" 'scrollY': false,",
" 'searching': false,",
" 'sortClasses': false,",
" 'rowCallback': rowCallback,",
" 'headerCallback': headerCallback,",
" 'columnDefs': [",
" {targets: -1, visible: false},",
" {targets: 0, orderable: false, className: 'details-control'},",
" {targets: '_all', className: 'dt-center'}",
" ]",
" }).column(0).nodes().to$().css({cursor: 'pointer'});",
" }",
"};",
"",
"// display the child table on click",
"table.on('click', 'td.details-control', function(){",
" var tbl = $(this).closest('table'),",
" tblId = tbl.attr('id'),",
" td = $(this),",
" row = $(tbl).DataTable().row(td.closest('tr')),",
" rowIdx = row.index();",
" if(row.child.isShown()){",
" row.child.hide();",
" td.html('⊕');",
" } else {",
" var childId = tblId + '-child-' + rowIdx;",
" row.child(format(row.data(), childId)).show();",
" td.html('⊖');",
" format_datatable(row.data(), childId);",
" }",
"});")
output$my_table <- DT::renderDT({
Dat <- market_mix_table()
datatable(
Dat, callback = callback, rownames = rowNames, escape = -colIdx-1,
options = list(
columnDefs = list(
list(visible = FALSE, targets = ncol(Dat)-1+colIdx),
list(orderable = FALSE, className = 'details-control', targets = colIdx)
)
)
)
})
}
# Run the application
shinyApp(ui = ui, server = server)
dat0 = iris[1:3,] # main table, with three rows
dat01 = airquality[1:4,] # |- child of first row
dat02 = cars[1:2,] # |- child of second row, with two rows
dat021 = mtcars[1:3,] # | |- child of first row of dat02
dat022 = PlantGrowth[1:4,] # | |- child of second row of dat02
dat03 = data.frame(NULL) # |- third row has no child
# add buttons
dat01 <- cbind(
dat01,
"Click me" = as.character(htmltools::tags$button("Click me")),
stringsAsFactors = FALSE
)
Dat <- NestedData(
dat = dat0,
children = list(
dat01,
list(
dat02,
children = list(
dat021,
dat022
)
),
dat03
)
)