In order to make this question be clear, Here is my code >source("http://omega.psi.iastate.edu/data/nmr_19.R") > class(temp) [1] "list" > names(temp) [1] "1A24" "1A57" "1A5J" "1A6X" "1AB7" "1AF8" "1AFI" "1AGG" "1AH9" "1AHL" [11] "1AJ3" "1AJW" "1AK7" "1ALG" "1AOY" "1APF" "1AUZ" "1AZJ" "1AZK" > head(temp[[1]]) pr model aa omega 1 1A24 MODEL_1 1_ALA 84.47 2 1A24 MODEL_1 2_GLN 63.06 3 1A24 MODEL_1 3_TYR 107.72 4 1A24 MODEL_1 4_GLU 54.36 5 1A24 MODEL_1 5_ASP 67.01 6 1A24 MODEL_1 6_GLY 999.00
This Iist have 19 data.frame that has their name such as 1A24,1A57.... The above is the structure for data.frame 1A24, pr have 1 level, model has 20 levels,aa has 189 levels I want to get the following matrix for each data.frame in this list like this 1A24 MODEL_1 MODEL_2 ..... MODEL_20 Mean_of_20_models Sd_of_20_models 1_ALA 84.47 2_GLN 63.06 3_TYR 107.72 4_GLU 54.36 5_ASP 6_GLY same thing for other data.frame in this list 1A57 ..... 1A5J ..... Means_of_20_models is average of omega for 1_ALA in 20 models Sd_of_20_models is standard deviation of omega for 1_ALA between 20 models Does anyone has some advice on how to do this? thanks Aimin ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.