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Dear list members, I recall seeing a convenience function for applying multiple functions to one object (i.e., almost the opposite of 'mapply?) somewhere. Example: If the function was named ?fun? the output of fun(3.14, mode, typeof, class) would be identical to the output of c(mode(3.14), typeof(3.14), class(3.14)) Is my memory failing me, or does such a function already exists in a

Dear all, is there a convenient way to determine the effect size for a regression coefficient in a multiple regression model? I have a model of the form lm(y ~ A*B*C*D) and would like to determine Cohen's f2 (http://en.wikipedia.org/wiki/Effect_size) for each predictor without having to do it manually. Thanks, Michael Michael Haenlein Associate Professor of Marketing ESCP Europe Paris,

I'm an R newbie but recently discovered the ggplot2 and reshape packages which seem incredibly useful and much easier to use for a beginner. Using the data from the IMDB, I'm trying to see how the average movie rating varies by year. Here is what my data looks like: > ratings <- read.delim("groomed.list", header = TRUE, sep = "|", comment.char = "")

Dear R experts. I might be missing something obvious. I have been trying to fix this problem for some weeks. Please help. #data ped <- c(rep(1, 4), rep(2, 3), rep(3, 3)) y <- rnorm(10, 8, 2) # variable set 1 M1a <- sample (c(1, 2,3), 10, replace= T) M1b <- sample (c(1, 2,3), 10, replace= T) M1aP1 <- sample (c(1, 2,3), 10, replace= T) M1bP2 <- sample (c(1, 2,3), 10, replace= T)

Hello ! I am attempting to switch from being a long time SAS user to R, and would really appreciate a bit of help ! The first thing I do in getting a large dataset (thousands of obervations and hundreds of variables) is to run a SAS command PROC CONTENTS VARNUM command - this provides me a table with the name of each variable, its type and length; then I run a PROC MEANS - for numerical