[R] help plsr function

Hi All, I want to produce scores from X using $projection. When I predict, I cannot match the predicted scores and scores using x%*%projection. Below is a very simple example, set.seed(seed=1) y <- c(1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0) x <- matrix(runif(200),nrow=20) data

[R] isotone

Hi All, I need some help with the package 'isotone'? I have a big matrix (long) and I want to apply 'lsSolver' possibly with 'activeSet' to each row of the matrix. The plan is to use function 'apply', I tried several ways, but didn't work. Not sure if the FUN is activeSet or lsSolver. If I use t

Re: [R] get mean from cdf

t; The diff function would be helpful. > > > ...or not: > > > sum(ppois(0:1000, lambda=2.345, lower=F)) > [1] 2.345 > > (if this was homework: the hard bit is to figure out _why_ this works.) > > > annie Zhang wrote: > > > > Hi All, > >

[R] get mean from cdf

Hi All, How can I get the expected value from a discrete cdf? Is there any R function that can do this? Thanks, Annie [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE

Re: [R] 2-dim density plot

Thank you so much, Michael and Duncan. It worked. Annie On Thu, Aug 11, 2011 at 2:23 PM, Duncan Murdoch wrote: > On 11/08/2011 3:11 PM, annie Zhang wrote: > >> Hi All, >> >> I have a 2-dim density defined on 0> formula of the density. How can I visualize it? What

[R] 2-dim density plot

Hi All, I have a 2-dim density defined on 0https://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.

Re: [R] do while loop

Thanks, Uwe. It's very useful. Annie 2009/12/13 Uwe Ligges > > > annie Zhang wrote: > >> Hi, All, >> >> Is there a 'do while' loop in R for which I can check conditions after? I >> checked and it seems there is only the 'while'

[R] do while loop

Hi, All, Is there a 'do while' loop in R for which I can check conditions after? I checked and it seems there is only the 'while' function. Thanks, Annie [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.

Re: [R] matched pair proportion test

Yes, thanks. It's exactly what I want. Annie On Sat, Dec 12, 2009 at 12:46 PM, Peter Dalgaard wrote: > annie Zhang wrote: > >> Hi, ALL, >> >> Is there any function in R that does the exact test for the matched pair >> proportions (one sided),

[R] matched pair proportion test

Hi, ALL, Is there any function in R that does the exact test for the matched pair proportions (one sided), which I assume is binomial(b+c, .5). Thanks, Annie [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://st

Re: [R] index of min elements in matrix

Thanks for all your help. Yes, it's very helpful. Annie On Thu, Sep 10, 2009 at 11:42 AM, Marc Schwartz wrote: > On Sep 10, 2009, at 1:34 PM, annie Zhang wrote: > > Hi, All, >> >> How can I get the indices of the minimum elements in a matrix without >> using

[R] index of min elements in matrix

Hi, All, How can I get the indices of the minimum elements in a matrix without using a loop? For example, if the matrix is 4 5 2 2 8 9 5 2 3 Then I want to output (1,3), (2,1), (3,2). Thanks, Annie [[alternative HTML version deleted]] __ R

Re: [R] lrm in Design package--missing value where TRUE/FALSE needed

Hi, Frank, I met the same problem. My data does not have NA, when I run fit <- lrm(Y_t~.,data=X) The error message is: singular information matrix in lrm.fit (rank= 35 ). Offending variable(s): X35 Error in j:(j + params[i] - 1) : NA/NaN argument How can I avoid this? Thank you, Annie On Fri,

Re: [R] variable selection in logistic

n Sep 3, 2009, at 1:45 PM, Frank E Harrell Jr wrote: > > You'll need to do a huge amount of background reading first. These > stepwise options do not incorporate penalization. > > Frank > > annie Zhang wrote: > > Hi, Frank, > If I want to do prediction as well

Re: [R] variable selection in logistic

'step.plr' function in the 'stepPlr' package. Thank you, Annie On Thu, Sep 3, 2009 at 10:11 AM, Frank E Harrell Jr < f.harr...@vanderbilt.edu> wrote: > annie Zhang wrote: > >> Thank you for all your reply. >> Actually as Bert said, besides predicion, I

Re: [R] variable selection in logistic

e the "truly important" variables, then the study must be > designed to provide the information to do so. You don't get something for > nothing. > > Cheers, > > Bert Gunter > Genentech Nonclinical Biostatistics > > > -Original Message- > From

Re: [R] variable selection in logistic

vid Winsemius wrote: > >> >> On Sep 2, 2009, at 9:36 PM, annie Zhang wrote: >> >> Hi, R users, >>> >>> What may be the best function in R to do variable selection in logistic >>> regression? >>> >> >> PhD theses, and books by famo

[R] variable selection in logistic

Hi, R users, What may be the best function in R to do variable selection in logistic regression? I have the same number of variables as the number of samples, and I want to select the best variablesfor prediction. Is there any function doing forward selection followed by backward elimination in st

Re: [R] generalized linear models

I think I need to restate the problem. If the test data is only a vector, then I am predicting one test sample. But the output from the predict result has the same length as the training set. And there is a warning message about this. Annie On Sat, Aug 8, 2009 at 2:52 PM, annie Zhang wrote

Re: [R] generalized linear models

wrote: > Hi Annie, > > create a new data.frame with input variables having all predictors > variables on it. > after give a look at ?predict > > best wishes > > milton > > On Fri, Aug 7, 2009 at 8:19 PM, annie Zhang > wrote: > >> Hi, R users, >>

[R] generalized linear models

Hi, R users, I am trying to use glm to do logistic regression. I know generally when I have two covariates, say x1 and x2, then I do fit <- glm(y~x1+x2,famliy='binomial') But now my covariates form a n*p matrix, say x, so actually each column is a covariate. So I think I should do fit <- glm(y~x,f

[R] penalized logistic regression

Hi, R users, Is there any package for penalized logistic regression with more than two response classes? I read the manual for stepPlr, but it seems it's only for binary case. Thank you, Annie [[alternative HTML version deleted]] __ R-help@r-