Displaying 5 results from an estimated 5 matches for "imp3".
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2005 Jun 29
3
IMP 4
Dear All,
anyone installed IMP4 on Centos 4.1 yet, http://www.horde.org/imp/4.0/
if so what problems did you have, I have a webmail server I am going to
upgrade to Centos 4.1 and Imp 4 from its current centos 3.3
implementation and imp3
This is going to be a labour intensive manual task, and I wondered if
anyone else out there was mad enough to have tried it already....
Failing that just advice on IMP4 installation on Centos 4.1 will be fine :-)
P.
2005 Sep 07
0
Dovecot - IMP - POP autentication problem
Hi,
Recently I have to rush one of my mail servers to a new installation,
actually GNU Linux/Debian Sarge, the system run dovecot 0.99.14 for pop
and imap, and the web server, other machine, uses horde2/imp3.
The problem is the following, pop clients including the imp3 cant log
properly apparently, the even when a connection is made to pop3 dovecot
trys to make a secure connection, I found this after sniffing the
connection between the web server and the mail server, for some reason,
imp cant handl...
2012 Apr 25
2
Accessing a list
Hi,
I have the following problem- I want to access a list whose elements are
imp1, imp2, imp3 etc I tried theusing the paste comand in a for loop see
the last for loop below. But I keep calling it df but df = imp1 (for the
first run). Any ideas on how I can access the elements of the list?
Isaac
require(Amelia)
library(Amelia)
data.use <- read.csv("multiplecarol.CSV", heade...
2012 Oct 26
0
combined output with zelig is not working!?!
...ly working with zelig and unfortunately i am getting
real stuck! here is my R code:
###these are my 5 imputed datasets####
d.1 <- read.table("imp1.csv", header=TRUE,sep=",")
d.2 <- read.table("imp2.csv", header=TRUE,sep=",")
d.3 <- read.table("imp3.csv", header=TRUE,sep=",")
d.4 <- read.table("imp4.csv", header=TRUE,sep=",")
d.5 <- read.table("imp5.csv", header=TRUE,sep=",")
#####my zelig code#####
model3=zelig(DKA.counts~age+as.factor(sex)+bmi_value+hba1c_value,model="poisson...
2013 Jan 28
6
Thank you your help.
Hi,
temp3<- read.table(text="
ID CTIME WEIGHT
HM001 1223 24.0
HM001 1224 25.2
HM001 1225 23.1
HM001 1226 NA
HM001 1227 32.1
HM001 1228 32.4
HM001 1229 1323.2
HM001 1230 27.4
HM001 1231 22.4236 #changed here to test the previous solution
",sep="",header=TRUE,stringsAsFactors=FALSE)
?tempnew<- na.omit(temp3)
?grep("\\d{4}",temp3$WEIGHT)
#[1] 7 9 #not correct