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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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.