similar to: Harrell's library

Dear R Developers, I should have had the Design library running in R by now but have kept putting off changing some calls to LINPACK routines to use those builtin to R. Specifically I call dqrsl1 and dqr. Would it be an easy task to put those in the next release of R? If not I'll finally bite the bullet and get back into reading LINPACK documentation (which I have but haven't examined

I have dealt with this on so many platforms in the past that I should know the answer by now. I looked in V&R S Programming, R manuals and FAQ and still can't find the answer. In the Hmisc library I used the R scripts to build the package, which creates Hmisc.so. I have library.dynam('Hmisc', ...) in the .First.lib. When doing library(Hmisc) I get Error in dyn.load ....

Has anyone tried to download Hmisc and used ldBands function for calculating Lan-Demets group sequential boundaries? The write-up in F.Harrell's website indicates that, besides downloading the package Hmisc, one needs to copy the progra ld98 from the University of Wisconsin website. As suggested, I did this but received another error message regarding the search path. I think I have fixed

The Design library has been fully ported to R except for Cox proportional hazards regression modeling (using Therneau's survival package) which will be available in about two weeks. It will take much longer to make all the example code executable, is it currently contains many examples for which data are not provided. Thanks to Xiao Gang Fan <xiao.gang.fan1 at libertysurf.fr> who

The Design library has been fully ported to R except for Cox proportional hazards regression modeling (using Therneau's survival package) which will be available in about two weeks. It will take much longer to make all the example code executable, is it currently contains many examples for which data are not provided. Thanks to Xiao Gang Fan <xiao.gang.fan1 at libertysurf.fr> who

I happened to look up Frank Harrell's book "Regression Modeling Strategies" on Amazon.com today. I was surprised to see that in addition to the typical links to related books they had sponsored links to sites about "How to become a model", "Try out for reality TV shows", ... There seems to be some confusion about the nature of the modeling that Frank describes.

Hi eveybody. I've seen posted before the same question, but no answer. Is there anybody who has implemented the Hosmer-Lemeshow test in R? TIA, Stefano -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the

Dear listserve members, especially Prof. Harrell: I am trying to create a factor variable that has fewer levels than the original. I have a factor: >rosa$risk1 [1] 2 2 5 1 ... [1799] 3 3 1 3 1 6 3 3 1 5 3 5 3 3 3 0 3 3 3 1 1 3 Levels: 0 1 2 3 4 5 6 8 But when I do this: rosa2 <- upData(rosa,

Hi all. I'm trying to install the packages Rstreams and RPgSQL, but with no success. I did R INSTALL name package but if I try library(Rstreams) I get the following error: Error in library.dynam("Rstreams",pkg,lib): dynamic library 'Rstreams' not found Error in library(Rstreams): .First.lib failed Where did I go wrong? I'm using R 1-1-1 on a Debian GNU/Linux box.

Hi. I've a dataframe with about 46000 women with about 500 cases (cancers). I want to define a case-cohort sampling scheme, matching by age and hospital centre. Is there anyone who has already written a code for that? It should be something similar to the stcacoh macro in Stata. TIA, Stefano -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list

Hello, No luck in loading Frank Harrell's packages -- did anyone encountered the same problem? R : Copyright 2002, The R Development Core Team Version 1.4.1 (2002-01-30) > library(design, T) Design library by Frank E Harrell Jr, Version of Wed Apr 17 17:07:30 EDT 2002 Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library

Hi all, I'm currently working with a dataset that has quite a few missing values and after some investigation I figured that multiple imputation is probably the best solution to handle the missing data in my case. I found several references to functions in S-Plus that perform multiple imputation (NORM, CAT, MIX, PAN). Does R have corresponding functions? I searched the archives but was not

Hello R-user I want to compute a multiple regression but I would to include a check for collinearity of the variables. Therefore I would like to use a ridge regression. I tried lm.ridge() but I don't know yet how to get p-values (single Pr() and p of the whole model) out of this model. Can anybody tell me how to get a similar output like the summary(lm(...)) output? Or if there is

In a .First.lib I want to issue two require()s to insure that two other packages are loaded. But I want the package being loaded by .First.lib using library.dynam("mypackage",pkb,lib) to be higher in the search order than the two required packages, because I want to have a couple of functions from the two required packages overridden. What is the best way to do that? Thanks in advance

Hi all. A simple question. Is there a function to compute the Odds Ratio and its confidence intervall, from a logistic model (glm(.......,family=binomial....). I've written my own, but certainly someone did a better job. Thank you in advance, Stefano *********************************************** Stefano Calza Istituto di Statistica Medica e Biometria Universit? degli Studi di Milano Via

I am using GLM to calculate logit models based on cross-sectional data. I am now down to the hard work of making the results intelligible to very average readers. Is there any way to calculate a psuedo analoque to the R^2 in standard linear regression for use as a purely descriptive statistic of goodness of fit? Most of the readers of my report will be vaguely familiar and more comfortable with

Hello I am sure this is elementary, but I can't figure it out..... I am using SAS v8.2 and R 1.4.1 on a Windows platform. I have a large (6 megabyte) file in .sd2 format. I want to import it into R. If necessary, I can create a smaller file, as I don't need all the variables that are in this file I downloaded the package foreign. I then tried to use PROC CPORT in SAS to create a

I am unclear on whether to run R CMD check pgkname as user or as root on Linux. When running as user, after all the latex, html, and man files are created, I get the following error message: Rdconv(): Couldn't open '': Permission denied Has anyone dealt with that message? When I run R CMD check a second time, all latex, html, etc. are recreated which takes quite a while. Is there

Hi.. I'm using gam() to fit a spline model for a data set that has two predictor variables (say A and B). The results indicate that the higher order interaction terms are significant. The R^2 jumps from .5 to .9 when I change the maximum order for the interaction from 10 to 15 (i.e. (AB)^10 to (AB)^15). Is there any way of finding out which of the terms in the model are really

Dear all: My logistic regression model includes one qualitative and one quantitative predictor variable, aes <- glm(p.a ~ spp * log(light), family=binomial(link=logit)), where spp is abundance of 3 species and light is subcanopy light availability varying from 0 1. I want to test differences among levels of the quantitative variable at a value of x other than the current log(light)=0.