我有一个函数可以生成具有以下结构的数据帧:
df <- data.frame(selected.variable = paste(letters[1:5], '_'),
percentage = c(50, 20, 10, 10, 10))
来自更大的数据框。
也就是说,在我正在使用的数据框中,有一列带有所选变量的标签,第二列给出了出现该标签的情况的百分比。
我想使用包flextable https://github.com/davidgohel/flextable创建这些数据帧的表。我可以使用以下代码直接执行此操作:
percent_format <- function(x){
sprintf("%.1f %%", x)
}
labels_format <- function(x) {
x <- gsub(pattern = '_', replacement = '', x = x)
return(x)
}
table <- regulartable(df)
table <- set_header_labels(table, selected.variable = 'New name', percentage = 'Percentage')
table <- set_formatter(table, selected.variable = labels_format,
percentage = percent_format)
我想编写一个函数,以编程方式更新所选变量的名称和格式-像这样:
make.flextable <- function(data, variable, variable.name) {
percent_format <- function(x){
sprintf("%.1f %%", x)
}
labels_format <- function(x) {
x <- gsub(pattern = '_', replacement = ' ', x = x)
return(x)
}
table <- regulartable(data)
table <- set_header_labels(table, variable = variable.name, percentage = 'Percentage')
table <- set_formatter(table, variable = labels_format,
percentage = percent_format)
return(table)
}
但是,我不知道如何将所选变量的名称(例如,上面示例中的“ selected.variable”)传递给flextable。我已尝试根据此问题使用map2函数:
In nested data frame, pass information from one list column to function applied in another
但无法使其正常工作。
答案 0 :(得分:1)
由于几天来,github上有一个新版本(不久将在cran上提供),请尽可能进行更新,因为以下代码仅在新版本上进行了测试。我不确定这不是您想要的,但是至少该示例显示了一些可以重用的代码:
library(flextable)
labels_format <- function(x) {
x <- gsub(pattern = '_', replacement = ' ', x = x)
return(x)
}
percent_format <- function(x){
sprintf("%.1f %%", x)
}
make.flextable <- function(data, percent_variables, label_variables, labels ) {
table <- flextable(data)
table <- set_header_labels(table, values = labels)
# a simple function to format number
table <- colformat_num(table, col_keys = percent_variables, digits = 1, suffix = "%" )
# how to do with labels_format, create a named list
args <- rep(list(labels_format), length(label_variables))
names(args) <- label_variables
# older versions :
# table <- do.call(set_formatter, append(args, list(x=table) ) )
table <- set_formatter(table, values = args )
table <- set_header_labels(table, values = labels)
# older versions :
# table <- do.call(set_header_labels, append(labels, list(x=table) ) )
return(autofit(table))
}
df <- data.frame(selected.variable = paste(letters[1:5], '_'),
percentage = c(50, 20, 10, 10, 10), stringsAsFactors = FALSE)
ft <- make.flextable(df,
percent_variables = 'percentage',
label_variables = "selected.variable",
labels = list(selected.variable = "new name",
percentage = "Percentage"
))
print(ft)