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.
Being a set of wrapper functions this library literally builds on the
excellent work of the {TraMineR},
{TraMineRExtras}, 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 to
TraMineR::seqdplot)ggseqeplot (equivalent to
TraMineRextras::seqplot.tentrop)ggseqmsplot (equivalent to
TraMineR::seqmsplot)ggseqmtplot (equivalent to
TraMineR::seqmtplot)ggstrqeplot (based on transitions rates computed with
TraMineR::seqtrate)ggseqiplot (equivalent to
TraMineR::seqIplot)ggseqfplot (equivalent to
TraMineR::seqfplot)ggseqrplot (equivalent to
TraMineR::seqrplot)ggseqrfplot (equivalent to
TraMineRextras::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 want to thank like to thank Gilbert Ritschard, Tim Liao, and Emanuela Struffolino for their comments on earlier versions of this library.