[R-pkgs] Hmisc package 3.13-0

[Frank Harrell]

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 
<sarkarbayazid at 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.stigler at 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