Re: [R] How to preserve the numeric format and digits ?

paste("A", format(m, scientific=FALSE, trim=TRUE), "B", sep="") -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Daren Tan Sent: Thursday, July 24, 2008 5:47 PM To: [EMAIL PROTECTED] Subject: [R] How to preserve the numeric format and digits ? Instead of

Re: [R] Using PrettyR to produce LaTeX output

You might look at the summary method in Dr. Harrell's Hmisc package, I believe this would give you almost exactly what you want. latex(summary(gender ~ age + bmi, data=yourdata, method='reverse')) This will get you quartiles, but if you read the documentation (?summary.formula) you can see how

Re: [R] Labelling curves on graphs

Dr. Harrell's Hmisc package has labcurve. --Matt -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Ted Harding Sent: Wednesday, July 16, 2008 1:17 PM To: [EMAIL PROTECTED] Subject: [R] Labelling curves on graphs Hi Folks, I'd be grateful for good suggestio

Re: [R] linear model in the repeated data type~

Apologies, the second method should have been allCoefs <- vector("list", length(allFits)) for(i in 1:length(allFits)) allCoefs[[i]] <- coef(allFits[[i]]) --Matt -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Austin, Matt Sent: T

Re: [R] linear model in the repeated data type~

IL PROTECTED] Sent: Wednesday, June 04, 2008 9:12 PM To: Austin, Matt Cc: r-help@r-project.org Subject: Re: [R] linear model in the repeated data type~ hi:lot thanks,how to use list to extract,I type allFit$coefficents,it came to nothing, such as I need to extract the estimates,how to do it by using

Re: [R] linear model in the repeated data type~

How about library(nlme) allFits <- lmList(y ~ t|id, data=table1, pool=FALSE) or allFits <- by(table1, table1$id, function(x) lm(y ~ t, data=x)) Both ways store the results as a list, so you can access individual results using list extraction. --Matt -Original Message- From: [EMAIL

Re: [R] Row mean scores differ association

There is a R companion to Agresti's text at the following site, I believe the answer to your question is there: http://www.stat.ufl.edu/~aa/cda/cda.html --Matt Matt Austin Biostatistics Director Amgen, Inc -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Beha

Re: [R] basehaz and newdata

I don't believe basehaz takes a newdata argument. > args(basehaz) function (fit, centered = TRUE) NULL It simply extracts info from the fitted object. I think you want to use survfit method for coxph objects and then derive/extract what you need. --Matt Matt Austin Global Statistical Leader,

Re: [R] format numbers using 1000 separator

> format(10, big.mark=",", scientific=FALSE) [1] "1,000,000,000" --Matt Matt Austin Biostatistics Director Amgen, Inc -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of tom soyer Sent: Friday, April 04, 2008 2:41 PM To: r-help@r-project.org Subject

Re: [R] Graphics and LaTeX documents with the same font

I find them helpful for displaying the differences in coupled biomarkers between therapies with different therapeutic targets. You can quickly see/show which marker is affected quicker and then the other compensating in response and how they can be reversed depending on target. Having each measure