Displaying 5 results from an estimated 5 matches for "sser".
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sse
2011 Jun 07
1
variable selection in linear regression
...))
pc <- matrix(0,nrow=1,ncol=d)
resF <- matrix(0, nrow=n, ncol=d)
pf <- matrix(0, nrow=1, ncol=d)
for(j in 1:d){
pc[,j] <- cor(x=(x[,j]), y=(mydata[,1]))
resF[,j] <- lsfit(x[,j], y)$residuals
sseF <- t(as.matrix(apply(resF^2, 2, sum)))
resR <- lm(y~1,data=mydata)$residuals
sseR <- sum(resR^2)
dfF <- n-2
dfR <- n-1
pf[,j] <- ((sseR-sseF[,j])/(dfR-dfF))/(sseF[,j]/dfF)
max.pf=max(pf)
max.pc=max(pc)
Thank you and looking forward to hear some replies.
Sincerely,
Iba
Universiti Putra Malaysia
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2012 Jul 25
2
Nested Models
Hey, I'm an R noobie and I have been trying calculate SSEr and SSEc in order
to determine if there is sufficient evidence to include second-order terms
in my model, but I have no idea what command to use. Any help with this
would be much appreciated.
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Sent from...
2003 Nov 13
1
Problem with 3.7.1p2 on Reliant Unix
Hi Group,
recently I upgraded to v 3.7.1p2 on Reliant Unix (former SINIX). With sser root everything works fine, but with a "normal" user the session terminates.. I put the logfile of the "sshd -dddd" at the end. What is wrong?
regard
Stephan
---------------
debug2: read_server_config: filename /etc/sshd_config
debug1: sshd version OpenSSH_3.7.1p2
debug1: pr...
2005 Aug 03
7
call fortran in R
...subroutine wrapper(n, p, nran, mat, ishort, w, z,
+ ntran, istand, k1, k2, iassign, iseed)
integer n,p,kmax
real*8 mat(n,p),sx(kmax,p),sx2(kmax,p),vect(p),
+ xbar(kmax,p),var(kmax,p),mean(p),coord(10)
real*8 D1,Dref,SSE,SSEref,Dvec(kmax),w(p),SST
real*8 CH,CHr(kmax),SSEr(kmax),temp
integer list(n),howmany(kmax),no(n),nobest(kmax)
integer listr(kmax,n),howmanyr(kmax,kmax),nnitr(kmax)
integer ishort(p)
double precision kmeans,
exter...
2011 May 28
3
Three sigma rule
Dear Sir,
I have data, coming from tests, consisting of 300 values. Is there a way in
R with which I can confirm this data to 68-95-99.8 rule or three-sigma rule?
I need to look around percentile ranks and prediction intervals for this
data. I, however, used SixSigma package and used ss.ci() function, which
produced 95% confidence intervals. I still am not certain about percentile
ranks