The main goal of {ggseqplot}
is to provide functions that reproduce the sequence plots from
{TraMineR}’s seqplot using
{ggplot2}. These plots are produced on
the basis of state sequence objects defined with TraMineR::seqdef. The
package automates the reshaping and plotting of sequence data. This
library literally builds on the excellent work of the
{TraMineR} and
{ggplot2} developers and uses several
of the their functions to produce ggplot2-flavored figures.
Note, that this library was not written because I personally dislike the
plots produced by {TraMineR}, but rather because I am
normally using {ggplot2} instead of base R’s plot
environment for visualizing data. {TraMineR} was developed before
{ggplot2} was as popular as it is today
and back then many users were more familiar with coding base R plots. To
date, however, many researchers and students are more accustomed to
using {ggplot2} and prefer to draw on the
related skills and experiences instead of learning how to refine base R
plots just for the single purpose of visualizing sequence data.
{ggseqplot} contains the
following functions:
ggseqdplot(equivalent toTraMineR::seqdplot)ggseqeplot(equivalent toTraMineRextras::seqplot.tentrop)ggseqmsplot(equivalent toTraMineR::seqmsplot)ggseqmtplot(equivalent toTraMineR::seqmtplot)ggstrqeplot(based on transitions rates computed withTraMineR::seqtrate)ggseqiplot(equivalent toTraMineR::seqIplot)ggseqfplot(equivalent toTraMineR::seqfplot)ggseqrplot(equivalent toTraMineR::seqrplot)ggseqrfplot(equivalent toTraMineRextras::seqplot.rf)
If you have change requests or find errors, create an issue on github or send me an email.
A complementing
vignette
outlines how {ggseqplot}
reshapes sequence data generated with {TraMineR} functions to visualize them
using {ggplot2}. Moreover, it illustrates how
to adjust the baseline output using familiar
{ggplot2} functions (and add-ons).
You can install the CRAN version of
{ggseqplot} by typing:
install.packages("ggseqplot")The development version can be installed with:
devtools::install_github("maraab23/ggseqplot")I would like to thank Gilbert Ritschard, Tim Liao, and Emanuela Struffolino for their comments on earlier versions of this library.