similar to: PLS Q2 value?

Greetings R users, My interest in the Q2cum score comes my endeavor to replicate SIMCAP PLS-DA analysis in R. I use the exact same dataset. After doing the analysis in R, I can get the exact same R2Ycum. However, the Q2cum is significantly off. Adding the Q2cum of the 1st and 2nd component comes close but that seems unconvincing and I don't understand why the 3rd component Q2cum would be

I'm trying to create a function which will allow me to subset a data set based on values of various specified variables. I also want to then apply some other function(s) (e.g., summary). This is what I've tried so far.... > test.fx <- function(dta, expvar, expval) { + newdta <- subset(dta, eval(expvar)>expval) + summary(newdta$eval(expvar)) + } > >

Dear list I am using the mvr function of the package pls.pcr to compute PLS resgression using a X matrix of gene expression variables and a Y matrix of medical varaibles. I would like to obtain the R2 (sum of squares captured by the model) and Q2 (proportion of total sum of squares captured in leave-one-out cross validation) of the model. I am not sure if there are specific slots in the

Greetings R users, I have been hoping someone would be familiar with this topic. I understand fully everything on this list is from the good graces of those who wish to help. Thanks to those who have helped in multiple circumstances. However, I wanted to post this question once more. I hope someone will read it and perhaps have some additional insight into what I may be able to do. Thank

Greetings R users, I have been working on running plsda and I would like to have the R2 and Q2 values. I know the function R2 from the 'pls' package will generate both R2 and Q2 but they are for each separate class. Is there a way to get the cumulative R2 and Q2 for the whole model? R2(pls.new, estimate="all") Response: B (Intercept) 1 comps 2 comps train

Hello, I would like to perform a Partial least square discriminate analysis (PLSDA) in R. To do this I use the package mixOmics. I could perform the PLSDA in R. however I would also like to perform a leave-one-out cross validation in order to assess the performance of my model. My supervisor told me that I should focus on the R2/Q2 ratios. However when I read the instruction for running the

Hi Samba Users, I forgot to send this mail to the samba ML, too. The question is whether anyone is using the idmap alloc config options for idmap_ldap. I would like to remove them for Samba 3.6. Details below. Thanks - Michael ----- Forwarded message from Michael Adam <obnox at samba.org> ----- Date: Wed, 10 Nov 2010 11:19:56 +0100 From: Michael Adam <obnox at samba.org> To: