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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