search for: gappli

Dear R-list, I try to calculate the 10- and 90-Percentile from grouped data. Using 'lappy' it works fine but I have no success with 'gapply': df <- data.frame(test = runif(100)) df <- df[order(df[,1]),] z <- rep(1:10, each = 10) lapply(split(df, z), function(x) quantile(x, probs=c(10,90)/100)) library(nlme) gapply(as.data.frame(df), which=1, function(x)

Hello, This is my first post in this e-mail list and I hope it's enough to justify calling for help. In case it's not, sorry. I'm trying to do analysis and graphics using a factor as a criteria to split data and do the analysis/graphics for each subset of data. Right now what I'm trying to do is to fit and plot the following logistic model, according to a third variable named

Dear R-Help Members, I am working on an analysis of a social network of web pages. Therefore I use the STATNET package which is such a good sna package. Thank you for developing it! But now I came to a point where my R skills are not good enough for what I want. So I am asking you if you might help me. The Problem: I have a network object and calculated the degree centrality (freeman)

Hi All, I want to ask if there is a transpose function for data frame like the procedure of transpose in SAS? Because I want to partially transpose a data frame which contains 5 columns (siteid, date, time, obs, mod), what I want to do is to put time as the column variables along with siteid, and date, and put obs and mod in the row names. specifically to transpose a data frame: siteid date