Displaying 8 results from an estimated 8 matches for "stuid".
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2005 Jul 08
2
Sweave resource leak: leftover temp files (PR#7999)
This is great. Thank you for your help, but let me make sure I fully
understand. Here is the looping file I use to subset the data frame,
create a tex file, and Sweave it. This results in N number of tex files
where N is equal to the number of rows in the data frame.
list <- unique(wide$stuid)
master = "master.tex"
for (i in list){
tmp1 <- subset(wide, stuid==i)
tmp2 <- paste(i, "tex", sep=".")
Sweave("fam_template.Rnw", output=tmp2)
file.append("fam_master.tex", tmp2)
}
If I follow correctly, I would need to...
2005 Jul 08
0
Sweave resource leak: leftover temp files
...ank you for your help, but let me make sure I fully
> understand. Here is the looping file I use to subset the data frame,
> create a tex file, and Sweave it. This results in N number of tex files
> where N is equal to the number of rows in the data frame.
>
> list <- unique(wide$stuid)
> master = "master.tex"
> for (i in list){
> tmp1 <- subset(wide, stuid==i)
> tmp2 <- paste(i, "tex", sep=".")
> Sweave("fam_template.Rnw", output=tmp2)
> file.append("fam_master.tex", tmp2)
> }
>...
2004 Dec 29
3
gls model and matrix operations
...es
Sigma<-matrix(c(400,80,80,80,80,400,80,80,80,80,400,80,80,80,80,400),4,4)
mu<-c(100,150,200,250)
sample.size<-100
# Simulate data and restructure for longitudinal analysis
data<- as.data.frame(cbind(seq(1:sample.size),(mvrnorm(n = sample.size, mu, Sigma))))
colnames(data)<-c("stuid","Grade 2","Grade 3","Grade 4","Grade 5")
long<-reshape(data, idvar="stuid", varying=list(names(data)[2:5]),
v.names="score", direction="long")
long$time<-long$time-1
With these data I then use the gls function to est...
2005 Feb 18
1
Samba PDC + OpenLDAP + Samba BDC
Hello everyone,
the time for me to use a OpenLDAP server is getting closer ( :( yikes..I'm
still scared sorta) ,
I currently have a Samba PDC with tdbsam with 50 users goes fine, our
company will grow (doing our best)
in this year by a minimum of 25-30 computers, and I've stuided the TOSHARG ,
and it says that for every
50 computer a bdc is suggested.
The questions :
1.how does the client who is logging in to the domain know which server to
use pdc bdc1 bdc2 ? , how is this decided.
2.is it a good idea to place the pdc and bdc close to each other , on the
same swit...
2005 Apr 15
1
winbind problems. it just wont work
hi,
I am still batteling with winbind, and frankly, i am getting
desperate enough to long for a weekend without any computers in sight
(that is bad for an addict)
I know I probably make a small stuid blunder but still, I cant find
it. The attachment is my smb.conf file. I created the needed paths, I
even made sure the ermissions are set!
I created asmbusers file with contains the following line:
root = Administrator admin
Then I added a user root to the smbpasswd file
smbpasswd -a root
pass...
2005 Jul 06
4
Tempfile error
Dear List:
I am encountering an error that I can't resolve. I'm looping through
rows of a dataframe to generate individual tex files using Sweave. At
random points along the way, I encounter the following error
Error in file() : cannot find unused tempfile name
At which point Sweave halts. There isn't a logical pattern that I can
identify in terms of why the program stops at
2005 Dec 01
1
Simulate Correlated data from complex sample
...Number of students in each school
a_g <- c(0,.5,1) # This is the growth vector
# Step 1 -- create psi for base grade
rps <- rep(N_j, J)
v_gk <- rep(rnorm(J, 0, sqrt(.01) ), rps)
v_gik <- rnorm(N, 0, sqrt(.99))
# Organize into a dataframe
data <- data.frame(schid = rep(1:J, rps), stuid = 1:N, cbind(v_gk,
v_gik), psi = v_gk + v_gik + a_g[1])
# Now create theta
B_g <- .95 # This is correlation between within-grade trait and
vertical trait
w_gk <- 0 # fixed at zero for now
data$w_gik <-rnorm(N, 0, sqrt(.0975))
data$theta <- (B_g * data$psi) + w_gk + data$w_gik...
2005 Jan 20
3
Constructing Matrices
Dear List:
I am working to construct a matrix of a particular form. For the most
part, developing the matrix is simple and is built as follows:
vl.mat<-matrix(c(0,0,0,0,0,64,0,0,0,0,64,0,0,0,0,64),nc=4)
Now to expand this matrix to be block-diagonal, I do the following:
sample.size <- 100 # number of individual students
I<- diag(sample.size)
bd.mat<-kronecker(I,vl.mat)
This