A significant update to the Hmisc package is now available on CRAN for
all platforms. Hmisc source is now on github at
https://github.com/harrelfe/Hmisc and the full change log may be found
at https://github.com/harrelfe/Hmisc/commits/master
The most important updates are additions of new graphics functions for
summarizing and displaying data with an aim of replacing tables. There
is also an interface to Duncan Murdoch's tables package for advanced
LaTeX table making, allowing Hmisc variable labels and units of
measurement to be automatically incorporated into table row or column
labels. New functions are overviewed and exemplified at
http://biostat.mc.vanderbilt.edu/HmiscNew . There is also a new
function latexTherm that writes a LaTeX picture environment for
including a series of thermometers inside LaTeX text. This is intended
especially for figure captions where the analyst wishes to provide a
snapshot of the fraction of observations that are used in the current
graphic.
The dotchart3 function is an improvement of dotchart2.
The rcspline.eval function, used by the rms package's rcs function, has
better default knot placement for restricted cubic splines (natural
splines) when there are ties in the predictor at the lowest or highest
value (e.g., clumping at zero).
The most recent updates to Hmisc are
* Changed n location (nloc argument) in bpplotM
* Improved dotchart3 to better compute string widths when there is a
mixture of expressions and regular strings for auxdata/auxtitle
* Changed rlegend to not take logs if log axes are in effect. Fixes
Ecdf(..., log='x', label.curves=list(keys=1:3)). Thanks: Bayazid Sarker
<sarkarbaya...@gmail.com>
* Extended non-panel (regular) version of plsmo to handle matrix y
* Likewise for summaryRc
* Added xlim to bpplotM
* Added latexTherm function to create LaTeX picture environments to
add a series of thermometers to LaTeX text
* Fixed deff to handle the case where R^2 = 1. Thanks: Matthieu
Stigler <matthieu.stig...@gmail.com>
* Added new test file for wtd.mean, wtd.quantile
* New test aregImpute3.r for glm Poisson regression
* Improved describe.vector to format single unique values
* Took aware warning about var, s.e., t, p in fit.mult.impute
* Changed wtd.loess.noiter to use loess instead of stats:::simpleLoess
--
Frank E Harrell Jr Professor and Chairman School of Medicine
Department of Biostatistics Vanderbilt University
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