#' get summaries of each of the variables for a given task
#'
#' @param task is the task to be summarised
#' @param data.sum is the summary data to be summarised further
#'
#' @return a data frame with summaries of each of the variables in the data
#'
#' @examples
#' variable.summaries("fp", summary_data)
#' @export
#'
variable.summaries <- function(task, data.sum){
# extract variable names that include the task name
variables <<- grep(paste(task, ".", sep=""), names(data.sum))
#check whether there are more than one variables with each name
# (necessary for lapply to work properly)
if(length(variables)>1){
summary_list <- lapply(summary_data[,variables], function(x){
if(is.numeric(x)) summary(x) else{
if(is.character(x)){
summary(as.factor(x))
}
}
})
s2 <- lapply(summary_list, function(df) data.frame(as.list(df)))
data.frame(data.table::rbindlist(s2, fill = T), row.names = names(s2))
} else data.frame(as.list(summary(summary_data[,grep(paste(task, ".", sep=""),
names(summary_data))])),
row.names = names(summary_data)[grep(paste(task, ".", sep=""), names(summary_data))])
}
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