similar to: Code Book from SPSS Data

On Tue, Dec 23, 2014 at 10:34 AM, Frank Harrell <f.harrell at vanderbilt.edu> wrote: > I am thinking about adding several geom and stat extensions to ggplot2 > in the Hmisc package. To do this requires using non-exported ggplot2 > functions as discussed in > http://stackoverflow.com/questions/18108406/creating-a-custom-stat-object-in-ggplot2 > > If I use the needed

New versions of source packages for Hmisc and Design are available from CRAN for R 1.9 on Linux/Unix. Knowing Uwe Ligges, a Windows binary is not far behind. Changelogs are at http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/ChangelogHmisc and http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/ChangelogDesign . These versions pass R CMD check for the latest R-devel so I expect they

New versions of source packages for Hmisc and Design are available from CRAN for R 1.9 on Linux/Unix. Knowing Uwe Ligges, a Windows binary is not far behind. Changelogs are at http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/ChangelogHmisc and http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/ChangelogDesign . These versions pass R CMD check for the latest R-devel so I expect they

I think SAS Macros has capability to call R, and execute it without it being in the picture anywhere. So you can use SAS Macros in a file called R.sas In this you can create a macro called %Describe that can call R , load Hmisc ,run the describe function Note you will need repeated use of %put in this %describe for the mapping to take place Use %INCLUDE to include that file in all SAS

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

I am thinking about adding several geom and stat extensions to ggplot2 in the Hmisc package. To do this requires using non-exported ggplot2 functions as discussed in http://stackoverflow.com/questions/18108406/creating-a-custom-stat-object-in-ggplot2 If I use the needed ggplot2::: notation the package will no longer pass CRAN checks. Does anyone know of a solution? I'm assuming that

I would vote for allowing a URL or external file name in in DESCRIPTION, whose contents could be automatically displayed for the user when needed. Our changelogs are automatically generated by CVS and are on the web. -- Frank E Harrell Jr Professor and Chair School of Medicine Department of Biostatistics Vanderbilt University

A major new version of the rms package is now on CRAN. The most user-visible changes are: - interactive plotly graphic methods for model fits. The best example of this is survplot for npsurv (Kaplan-Meier) estimates where the number of risk pop up as you hover over the curves, and you can click to bring up confidence bands for differences in survival curves - html methods for model fit

A major new version of the rms package is now on CRAN. The most user-visible changes are: - interactive plotly graphic methods for model fits. The best example of this is survplot for npsurv (Kaplan-Meier) estimates where the number of risk pop up as you hover over the curves, and you can click to bring up confidence bands for differences in survival curves - html methods for model fit

DEADLINE FAST APPROACHING ? 8th Annual International R User Conference useR! 2012, Nashville, Tennessee USA Registration Deadlines: Early Registration: Passed Regular Registration: Mar 1- May 12 Late Registration: May 13 ? June 4 On-Site Registration: June 12 ? June 15 Please note: Nashville is offering several large entertainment events the month of June, and hotels are quickly selling out.

DEADLINE FAST APPROACHING ? 8th Annual International R User Conference useR! 2012, Nashville, Tennessee USA Registration Deadlines: Early Registration: Passed Regular Registration: Mar 1- May 12 Late Registration: May 13 ? June 4 On-Site Registration: June 12 ? June 15 Please note: Nashville is offering several large entertainment events the month of June, and hotels are quickly selling out.

Hmisc 4.0-0 is now on CRAN. The package has undergone a massive update. The most user-visable changes are; - support for Rmarkdown html notebooks - advanced html tables using the htmlTable package and summaryM function; can copy and paste into word processors - support for plotly interactive graphics, e.g. options(grType='plotly') plot(describe(mydata)) - new function

Hmisc 4.0-0 is now on CRAN. The package has undergone a massive update. The most user-visable changes are; - support for Rmarkdown html notebooks - advanced html tables using the htmlTable package and summaryM function; can copy and paste into word processors - support for plotly interactive graphics, e.g. options(grType='plotly') plot(describe(mydata)) - new function

Several updates have been made to the Hmisc package: Changes in version 3.16-0 (2015-04-25) * html.contents.data.frame: corrected html space character to add semicolon * ggplot.summaryP: added size of points according to denominators * colorFacet: new function * labelPlotmath: added chexpr argument (used by rms::ggplot.Predict) * rcsplineFunction: added

Several updates have been made to the Hmisc package: Changes in version 3.16-0 (2015-04-25) * html.contents.data.frame: corrected html space character to add semicolon * ggplot.summaryP: added size of points according to denominators * colorFacet: new function * labelPlotmath: added chexpr argument (used by rms::ggplot.Predict) * rcsplineFunction: added

The international R User Conference useR! 2012 will be held June 12-15 at Vanderbilt University in Nashville, Tennessee, USA, with a pre-conference full-day course offered on June 11. Participants are encouraged to submit a one-page abstract for oral or poster presentation at the conference. Half-day tutorials will be held in the morning and afternoon of June 12th. For tutorials, please

DEADLINE FAST APPROACHING ? 8th Annual International R User Conference useR! 2012, Nashville, Tennessee USA Registration Deadlines: Early Registration: Passed Regular Registration: Mar 1- May 12 Late Registration: May 13 ? June 4 On-Site Registration: June 12 ? June 15 Please note: Nashville is offering several large entertainment events the month of June, and hotels are quickly selling out.

A new version of rms is now available on CRAN for Linux and Windows (Mac will probably be available very soon). Largest changes include latex methods for validate.* and adding the capability to force a subset of variables to be included in all backwards stepdown models (single model or validation by resampling). Recent updates: * In survplot.rms, fixed bug (curves were undefined if

A new version of rms is now available on CRAN for Linux and Windows (Mac will probably be available very soon). Largest changes include latex methods for validate.* and adding the capability to force a subset of variables to be included in all backwards stepdown models (single model or validation by resampling). Recent updates: * In survplot.rms, fixed bug (curves were undefined if

Version 2.2-0 of the rms package is now available. This is a somewhat major update. One major change is not downward compatible: Instead of specifying predictor=. or predictor=NA to Predict, summary, nomogram, survplot, gendata, you just specify the name of the predictor. For example, to get predictions for the default range of x1 and for just 2 values of x2 you might specify Predict(fit,