R, Statistics

boxplotdbl 1.2.2 and diaplt 1.2.1 packages are now available at CRAN

The boxplotdbl 1.2.2 and the diaplt 1.2.1 are listed at CRAN.  Now the procedure to install, load and use the package is:

f <- as.factor(rep(1:2, each=5))
boxplotdou(f, rnorm(10), f, runif(10))


If you see a message that a binary package is not available, use the following.

install.packages('boxplotdbl', type='source')

There is a delay of building binaries for Windows and Mac OS, as a usual schedule of CRAN listing.

Fig. 1. Double Box Plot

Fig. 1. Double Box Plot

Both are improved from the public beta on October, I thank again to everyone who used the beta, shared it, and commented to me.

8 comments on “boxplotdbl 1.2.2 and diaplt 1.2.1 packages are now available at CRAN

  1. karilint
    October 27, 2016

    Hi, thank you for the great package!

    I was wondering, if you’re able to answer my question which is related to the boxplotdou() here: http://stackoverflow.com/questions/40262534/how-to-combine-plots-from-ggplot2-and-boxplotdou?noredirect=1#comment67785896_40262534

    Am I trying to do something which is not possible?

  2. Vincent Vinh-Hung
    August 26, 2015

    Great blog, great packages.
    I have just installed boxplotdbl. I ran boxplotdou on two groups of observations, group 0, 26 cases, and group 1, 112 cases.
    First impression: the graph shows a very large box for group 0, and a small box for group 1. Which is ok if one is aware that the box size represent precision (bigger= less precise). But visually group 0 appears more important (bigger box).
    I guess a workaround would be to use darker or lighter colors according to data abundance.

    • tomizono
      August 29, 2015

      Hi, Vincent.
      The box size does not indicate the importance as you pointed. Because I’m focusing on showing the error size by the box, the box is bigger when the error is bigger. Your idea, visualizing the importance, would be an another good idea, though the procedures are not simple at this moment.

      Thank you for the comment.

  3. kriebelr
    November 27, 2013

    Great thanks!!

  4. kriebelr
    November 25, 2013

    Great package! Thanks! I was trying it out and it worked great except the “xlab” and “ylab” arguments. Should they be working? I don’t get an error but the axis label doesn’t change. THanks for any help.

    • tomizono
      November 26, 2013

      Hi, kriebelr. Thanks coming.
      Both xlab and ylab are not supported at this moment. Names are once saved to an intermediate summary list. So the following procedure works.

      stat <- boxplotdou(iris[c(5,1)], iris[c(5,2)], plot=F)
      stat$name$x <- 'name x'
      stat$name$y <- 'name y'

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This entry was posted on November 24, 2013 by and tagged , , , , , .
The stupidest thing...

Statistics, genetics, programming, academics


R, Statistics

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