65 lines
1.6 KiB
R
65 lines
1.6 KiB
R
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#' @title Convert a \code{data.frame} to a \code{list}
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#'
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#' @description Convert data to a format suitable for ApexCharts.js
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#'
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#' @param data A \code{data.frame} or an object coercible to \code{data.frame}.
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#' @param add_names Use names of columns in output. Can be logical to
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#' reuse \code{data} names or a character vector of new names.
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#'
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#' @return A \code{list} that can be used to specify data in \code{\link{ax_series}} for example.
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#'
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#' @export
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#' @importFrom stats setNames
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#'
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#' @examples
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#'
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#' # All iris dataset
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#' parse_df(iris)
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#'
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#' # Keep variables names
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#' parse_df(iris[, 1:2], add_names = TRUE)
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#'
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#' # Use custom names
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#'
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#' parse_df(iris[, 1:2], add_names = c("x", "y"))
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#'
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parse_df <- function(data, add_names = FALSE) {
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data <- as.data.frame(data)
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names_ <- names(data)
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l <- lapply(
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X = data[],
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FUN = function(x) {
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if (inherits(x, "Date")) {
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# as.numeric(x) * 86400000
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format(x)
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} else if (inherits(x, "POSIXt")) {
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as.numeric(x) * 1000
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} else if (inherits(x, "factor")) {
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as.character(x)
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} else {
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# if (!identical(add_names, FALSE)) {
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# formatNoSci(x)
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# } else {
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# x
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# }
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x
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}
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}
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)
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ll <- lapply(
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X = seq_len(nrow(data)),
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FUN = function(i) {
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res <- lapply(l, `[[`, i)
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if (identical(add_names, FALSE)) {
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res <- unname(res)
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}
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if (is.character(add_names) & length(add_names) == length(names_)) {
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res <- setNames(res, nm = add_names)
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}
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return(res)
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}
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)
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return(ll)
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}
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