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
normally use {ggplot2} instead of base R’s
plot environment for data visualization.
{TraMineR} was developed before
{ggplot2} became as popular as it is
today, when most users were more familiar with base R plots. Today,
however, many researchers and students prefer to use
{ggplot2} and draw on their existing
skills rather than learn base R graphics just to visualize 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 from
TraMineR::seqtrate)ggseqiplot (equivalent to
TraMineR::seqIplot)ggseqfplot (equivalent to
TraMineR::seqfplot)ggseqrplot (equivalent to
TraMineR::seqrplot)ggseqrfplot (equivalent to
TraMineRextras::seqplot.rf)A complementing vignette
outlines how {ggseqplot}
reshapes sequence data generated with {TraMineR} functions for visualization
with {ggplot2}. It also shows how to
customize the plots using familiar
{ggplot2} functions and extensions.
If you find errors or have feature requests, feel free to create an issue on GitHub or send me an email.
If you use {ggseqplot}
in your work, please cite it as:
Raab, M. (2022). ggseqplot: Render Sequence Plots using ‘ggplot2’. https://doi.org/10.32614/CRAN.package.ggseqplot
You can also retrieve the citation in R with:
citation("ggseqplot")You can install the CRAN version of {ggseqplot}
with:
install.packages("ggseqplot")If a more recent version is available, you can install the development version from GitHub with:
devtools::install_github("maraab23/ggseqplot")I would like to thank Gilbert Ritschard, Tim Liao, and Emanuela Struffolino for their helpful comments on earlier versions of this library.