This is a collection of functions that I've found useful in my research. The package is inspired by Frank Harrell's Hmisc package. The main focus is on tables, plots, and knitr-integration.
The getDescriptionStatsBy is a straight forward function that
aims at helping you to generate descriptive table stratified by different
variables. In other words, the function returns everything you need for generating
a Table 1 ready for publication. This function is accompanied by the
describeMean, describeMedian, describeProp,
and describeFactors functions.
The mergeDesc allows you to merge a set of outputs getDescriptionStatsBy
into a htmlTable with the rgroup arguments automatically
generated, see vignette("descriptives", package = "Gmisc") for a
detailed workflow description.
The transition plot function, transitionPlot, is for
descriptive purposes. It tries to illustrate the size of change
between one state and the next, i.e. a transition. This is
basically a graph of based upon table(var1, var2).
The Singular value decomposition
is a common method for reducing the number of variables. Unfortunately
this compression can reduce the interpretability of the model. The getSvdMostInfluential
function tries to remedy that by identifying the most influential
elements from the V-matrix.
The insertRowAndKeepAttr simply adds a row while remembering
all the attributes previously set by using the copyAllNewAttributes.
The mergeLists tries to merge lists that do not have identical
elements.