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Hello, I am using Dotplot (from Frank Harrell's HMISC library) to make a graph of rates with confidence intervals but I get a 'black' background -- nice but not on a printed document: >Dotplot(group~Cbind(rate,lower,upper)|mortality,data=mort,ylab=' ') How do I change the background (and other) collors in Dotplot? Thanks for you help. Marwan Khawaja platform

Hello, I have 15 data points (weight at birth) by age which I want to interpolate back in time (to 5 more age points). There are many functions in R to do this and I wonder if anyone has experience in using these -- any preference/caveat etc? I am trying to find an alternative to linear interpolation. Using R 1.6.0 under windows TIA Marwan

If I remember correctly, every time the dreaded "_" arises as an assignment operator in polite emails, the advantage of last resort cited in its defence is that it is only a single (albeit shifted) keystroke. I can only speak for the excellent NEdit, but it is a trivial task to assign some otherwise unloved key (my favorite is that funny accent at the left of the digit row) to

Hello, I am trying to replicate example 4 in the package 'scatterplot3d': s3d.dat_data.frame(cols=as.vector(col(my.model4)), rows=as.vector(row(my.model4)), value=as.vector(my.model4)) scatterplot3d(s3d.dat, type="h", lwd=5, pch=" ", x.ticklabs=colnames(my.model4), y.ticklabs=rownames(my.model4), main="Conditional probabilities, Model 3") Nice! but,

There have been quite a few questions recently about this, so I have tried to gather experience. I set up a proxy using Apache2 (a very common server) behind our firewall and tried various authentication approaches. One comment: all the methods return error messages when they fail. Please don't report `it doesn't work' without the full details. 1) For a proxy that authenticates

A new package `survey' for analysing complex survey samples is on CRAN. It handles stratification, clustering, and unequal sampling probabilities in descriptive statistics, glms, and general maximum likelihood fitting. The package is still under development: - it doesn't do the finite population correction to variances - it needs some real life worked examples Most importantly,

Hello, I a proxy connection to the internet, so I renamed the file 'internet2.dll' to 'internet.dll' in the Module subdirectory as suggested in Changes. But I still get an error when trying to update packages: 'Rgui.exe has generated errors and will be closed by Windows' Any hint would be appreciated. I know this has been discussed before but I do not seem to find the

A new package `survey' for analysing complex survey samples is on CRAN. It handles stratification, clustering, and unequal sampling probabilities in descriptive statistics, glms, and general maximum likelihood fitting. The package is still under development: - it doesn't do the finite population correction to variances - it needs some real life worked examples Most importantly,

Dear all, I'm new R's user and I'm looking for package dealling with Path analysis. Does it exist ? Where ? Best, Regis Martin PhD Student Laboratory of Altitutdinal Population Biology UMR CNRS 5553 Universté de Savoie Bât. Belledonnes 00 33 (0)4 79 75 86 44 regis.martin at univ-savoie.fr

Hello, I get a nice looking barplot using the barplot2 function in the gregmisc package: body2 <- barplot2(hh3, beside = TRUE, col = c("mistyrose", "lightcyan"), .... cex.names = 1.0, plot.ci = TRUE, ci.l = cil, ci.u = ciu, plot.grid = TRUE) box() However, obviously I lose the collors when converting from ps to a pdf (outside of R)