#' @import datasets
#' @import dplyr
#' @importFrom magrittr %>%
#' @importFrom tibble tibble
#' @importFrom lubridate ymd
#'
NULL
# Convert all dates into lubridate
# Move all row.names into an appropriately named column
#' Creates a tidy-data version of the airquality dataset
#'
#' Dates are converted from Month / Day to lubridate
#'
#' @export
get_tidy_airquality <- function(){
air <- datasets::airquality
Date <- lubridate::ymd(paste("1973", air$Month, air$Day, sep = "-"))
air[, !(colnames(air) %in% c("Month", "Day"))] %>%
dplyr::mutate(Date = Date) %>%
dplyr::as_data_frame()
}
#' Creates a tidy-data version of the Anscombe quartet dataset
#'
#' @export
#'
get_tidy_anscombe <- function(){
ans <- datasets::anscombe
tidy_df <- tibble::tibble(
group = factor(rep(paste0("Q", 1:4), each = 11),
levels = paste0("Q", 1:4)),
x = with(ans, c(x1, x2, x3, x4)),
y = with(ans, c(y1, y2, y3, y4))
)
tidy_df
}
#' Returns a tidy-data version of a named dataset.
#'
#' @param dataset The name of the dataset for which a tidy version
#' is requested. Available datasets include "anscombe".
#'
#' @return A tibble containing a tidied up version of the requested
#' dataset.
#'
#' @export
#'
get_tidy <- function(dataset){
available <- c("anscombe", "airquality")
stopifnot(dataset %in% available)
get(paste0("get_tidy_", dataset))()
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.