The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 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 would like to thank Gilbert Ritschard, Tim Liao, and Emanuela Struffolino for their 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.
Health stats visible at Monitor.