boxplotdbl and diaplt Packages 1.0.0 Public Beta are Available

October 20, 2013
By

(This article was first published on ???????noR 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:

install.packages('/downloaded/folder/boxplotdbl_1.0.0.tar.gz',
                 repos=NULL,type='source')
library(boxplotdbl)

install.packages('/downloaded/folder/diaplt_1.0.0.tar.gz',
                 repos=NULL,type='source')
library(diaplt)

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

boxplotdbl

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

boxplotdou(iris[c(5,1)],iris[c(5,3)])
Fig. 2. Sepal.Width v.s. Petal.Width

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

boxplotdou(iris[c(5,2)],iris[c(5,4)])

diaplt

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)

beadsplot(iris[1:4],iris[5],scale.range=NULL,scale.mean=NULL)
Fig. 4. minimums, centers and maximums of iris data (scaled values)

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

beadsplot(iris[1:4],iris[5])

To leave a comment for the author, please follow the link and comment on their blog: ???????noR R.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)