boxplotdbl and diaplt Packages 1.0.0 Public Beta are Available

October 20, 2013

(This article was first published on ЯтомизоnoR » R, and kindly contributed to R-bloggers)

These are beta version because the help manuals are not written yet.  Their functions are already matured to the releasse stage.  I will put them to CRAN as soon as finishing help files, and that will be after a few weeks.  Once submitted to CRAN, things will go slower.  So reporting bugs or giving me any suggestions are especially welcomed before I submit them.  Of course I will welcome your responses after the submission, too.

You can download them at:

Installation procedure is:



Instructions are available in the source code located in R folder.  Or following urls:


The boxplotdou function in boxplotdbl package is for,

  • Correlation chart of two set (x and y) of data.
  • Using Quartiles with boxplot style.
  • Visualize the effect of factor.

To start quickly, I use here the built-in iris data frame.  This is a paired data, but the boxplotdou is designed for two independent data frames combined by common factors.

Fig. 1. Sepal.Length v.s. Petal.Length

Fig. 1. Sepal.Length v.s. Petal.Length

Fig. 2. Sepal.Width v.s. Petal.Width

Fig. 2. Sepal.Width v.s. Petal.Width



The beadsplot function in diaplt package is for,

  • Visualize one-factor data frame.
  • Beads plot consists of diamonds of each factor of each data series.
  • A diamond indicates average and range.
  • Look over a data frame with many numeric columns and a factor column.

I developed this chart to look over a soil chemical component data between several sites.

Fig. 3. minimums, centers and maximums of iris data (raw values)

Fig. 3. minimums, centers and maximums of iris data (raw values)

Fig. 4. minimums, centers and maximums of iris data (scaled values)

Fig. 4. minimums, centers and maximums of iris data (scaled values)


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