Github user olarayej commented on a diff in the pull request: https://github.com/apache/spark/pull/11569#discussion_r61009021 --- Diff: R/pkg/R/DataFrame.R --- @@ -2469,6 +2469,110 @@ setMethod("drop", base::drop(x) }) +#' This function computes a histogram for a given SparkR Column. +#' +#' @name histogram +#' @title Histogram +#' @param nbins the number of bins (optional). Default value is 10. +#' @param df the DataFrame containing the Column to build the histogram from. +#' @param colname the name of the column to build the histogram from. +#' @return a data.frame with the histogram statistics, i.e., counts and centroids. +#' @rdname histogram +#' @family DataFrame functions +#' @export +#' @examples +#' \dontrun{ +#' # Create a DataFrame from the Iris dataset +#' irisDF <- createDataFrame(sqlContext, iris) +#' +#' # Compute histogram statistics +#' histData <- histogram(df, "colname"Sepal_Length", nbins = 12) +#' +#' # Once SparkR has computed the histogram statistics, the histogram can be +#' # rendered using the ggplot2 library: +#' +#' require(ggplot2) +#' plot <- ggplot(histStats, aes(x = centroids, y = counts)) +#' plot <- plot + geom_histogram(data = histStats, stat = "identity", binwidth = 100) +#' plot <- plot + xlab("Sepal_Length") + ylab("Frequency") +#' } +setMethod("histogram", + signature(df = "DataFrame", col = "characterOrColumn"), --- End diff -- Yeah, let me deliver that with Shivaram's fix as well. Thanks!
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