search for: explantory

Displaying 6 results from an estimated 6 matches for "explantory".

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2006 Mar 13
1
nls number of explantory variables
Hi.. is there a limit on the number of explanatory variables in nls ? i have a dataframe with the columns names x1,x2..,x300 when i run nls it gives the error: " x181 not found" thought it does run when i have x1,x2,...,x170 variables. Thanks Harsh --------------------------------- [[alternative HTML version deleted]]
2006 Mar 05
1
[LLVMdev] Keyword documenation for target, deplibs ...
...statements at the beginning of the disassembled bc file that I couldn't find any documentation: target endian = little target pointersize = 32 target triple = "i686-pc-linux-gnu" deplibs = [ "c", "crtend" ] implementation These are "self-explantory" but what are the possible values and what other items should I be prepared to output. Thanks, Wink Saville
2011 Oct 21
1
replicating SAS's "proc rank" procedure
Hi try this function ive written it should be self explantory but let me know if you have any problems. I've only been using R for a few eeeks so apologies if its not the most efficient! rankit2<-function(rankvar,cuts,data,factor) { ranker<-rankvar ranker<-0 range<-c(1:cuts) range2<-range/cuts range3<-quantile(factor,range2) over<-l...
2005 Dec 01
3
Strange Estimates from lmer and glmmPQL
...ering I get a t-statistic around 3 or so and what appears to be a reasonable estimated coefficient which is very close to the estimated coefficient using just one observation from each subject. Most of the subjects have two responses and in almost all cases the responses are identical although the explantory factor values are not always identical for each subject. If I use geeglm from geepack, I get reasonable estimates close to the naive model results. I also tried using the SAS glimmix macro to fit a generalized mixed model and the routine does not converge. Why does geeglm appear to work but not...
2008 Oct 20
1
Categorical Response Query
Hi all, I have a queston about Categorical response. i have a data frame containing age, sex, class, success(1=success, 0=non sucess). age, sex,class are the explantory variables, and sucess is the response variable. and i can get n (the nunber of times each age occurs) and r (the number of sucess of that age). when I try to creat the regression relationship for these variables, I have seen many different cases, i just wonder which one fits me the best for this...
2010 Aug 24
8
Home directories
I've noticed that a lot of people are using e.g.: mail_location = maildir:/var/vmail/%d/%n Then either they don't have home directory set, or their home directory is the same as the maildir. http://wiki.dovecot.org/VirtualUsers/Home explains all the problems of not separate home and mail directories. Also whenever I try to suggest using a separate home and mail directory, the answer is