Re: [R] model frame and formula mismatch in model.matrix()

Hi Eva, you're right, it works with 50 variables. Then, how could I change this variable limit in the lm function? Thank you very much for your help. Julien. -- View this message in context: http://r.789695.n4.nabble.com/model-frame-and-formula-mismatch-in-model-matrix-tp4664093p4664226.html

[R] model frame and formula mismatch in model.matrix()

Hello everyone, I am trying to fit the following model All X. variables are continuous, while the conditions are categoricals. model <- lm(X2 +X3+X4+X5+X6+X7+X8+X9+X10+X11+X12+X13+X14+X15+X16+X17+X18+X19+X20+X21+X22+X23+X24+X25+X26+X27+X28+X29+X30+X31+X32+X33+X34+X35+X36+X37+X38+X39+X40+X41+X42+X

[R] remove colinear variables

Hello I have a dataset with 151 dependent variables and estimated in 6 different conditions, and each condition is repeated 3 times. It si proteomic and therefore expensive, so few repetitions. I want to conduct a stepwise discriminant analysis to identify the variables that really matter. To do s

Re: [R] Multiple comparisons for coxph survival analysis model

Hi ExpeRts, I find this post very interesting... as I have the same problem. I found on other webpages that a solution would be to run simple comparison and then to adjust for the P-value accordingly; However, I am not very satisfied by such approach, and i would very greatful to R if a multiple c