Displaying 5 results from an estimated 5 matches for "tempmat".
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templat
2008 Nov 08
1
Clustering and functions
...ot sure why, but I keep getting a run-time error. Any suggestions would be greatly appreciated.
Here is the code:
library(cba)
d<-read.csv("data.csv", header=TRUE)
v<-c(53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,21,72 73,74,75,76,77,78)
clusterMe<-function(d,v){
tempMat<-subset(d,d[,v[1]]=="TRUE")
rc<-rockCluster(tempMat,n=5,theta=.2)
tempMat<-cbind(tempMat,rc$cl)
M<-tempMat
for (i in 2:26){
tempMat<-subset(d,d[,v[i]]=="TRUE")
rc<-rockCluster(tempMat,n=5,theta=.2)
tempMat<-cbind(tempMat,rc$cl)
M<-rbind(M,temp...
2007 May 23
1
I made some progress on my previous "systemfit" question but still not quite there
Surprisingly, I played around with some test code and below actually
creates equations that look correct.
tempmat<-matrix(10,nrow=6,ncol=6)
restrictmat<-diag(6)
colnames(tempmat)<-c("AUD.l1","CHF.l1","CAD.l1","GBP.l1","EUR.l1","JPY.l
1")
rownames(tempmat)<-c("AUD","CHF","CAD","GBP","EUR",&...
2006 Apr 19
1
Probable Numeric Bugs in svd function (PR#8781)
...*usHigh+sigmas[5]*euLow+sigmas[6]*euHigh=0D
temp10<-sigmas[3]*usLow+sigmas[4]*usHigh+sigmas[7]*euLow+sigmas[8]*euHig=0D
h=0D
CorrEU<-0.89=0D
CorrUS<-0.82=0D
=0D
CorrR<-matrix(0,2*SN.nb,2*SN.nb)=0D
diag(CorrR)<-c(temp1^2,temp10^2)=0D
=0D
temp<-ifelse(Region=3D=3D1,CorrUS,CorrEU)=0D
tempMat<-matrix(0,SN.nb,SN.nb)=0D
diag(tempMat)<-temp*temp1*temp10=0D
CorrR[(SN.nb+1):(2*SN.nb),1:SN.nb]<-tempMat=0D
CorrR[1:SN.nb,(SN.nb+1):(2*SN.nb)]<-tempMat=0D
=0D
CorrR is positive definite but "svd" returns negative singular values!=0D
When replacing 0s by very week noises, the...
2004 Jul 29
3
Editing Strings in R
I was wondering if there is a way of editting strings in R. I
have a set of strings and each set is a row of numbers and paranthesis.
For example the first row is:
(0 2)(3 4)(7 9)(5 9)(1 5)
and I have a thousand or so such rows. I was wondering how I
could get the corresponding string obtained by adding 1 to all the
numbers in the string above.
Dursun
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2003 Feb 21
0
Linear mixed effects models
...ave approximately 1400-1800 data/time points per person
(13 in total). Observations were made how the focus of neuronal activity
changed spatially while processing of a frequency-modulated tone.
Regression analysis was performed for each individual using orthogonal
polynomials ...
regtemp <- lm(tempmat[,j] ~ poly(tempmat[,1],degree=i))
... up to degree = 5.
Based on the median (i.e. over all individuals) adjusted R-square, it could
be seen that a linear approach yielded about .5 adj-R2, adding a quadratic
term increased R2 to about .7 (adding further terms didn't increase adj-R2
in a signifi...