Displaying 4 results from an estimated 4 matches for "nctrl".
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2008 Mar 07
0
How to do a time-stratified case-crossover analysis for air pollution data?
...ths(dates)
tyyear<-as.character(dates)
for (i in 1:n)
{
ask<-tyyear[i]
tyyear[i]<-substr(ask,1,4)
}
#replicate cases
air<-data.frame(mi, tyda, tymo, tyyear, pm10, dates)
air$stratn<-as.numeric(strata(air$tyda, air$tymo,air$tyyear))
lest<-unique(air$stratn)
air$nctrl<-0
airbase<-air
#find the number of controls whithin each stratum
for (i in 1:length(lest))
{
a<-which(air$stratn==lest[i])
for (j in 1:length(a))
{
air$nctrl[a[j]]<-sum(air$mi[a[-j]])
}
}
#create cases and controls
cami<-rep(1,sum(mi))
ctmi<...
2008 Mar 07
0
How to do a time-stratified case-crossover analysis for air pollution data? Unformatted text-version, with an additional note
...s)
tymo<-months(dates)
tyyear<-as.character(dates)
for (i in 1:n)
{
? ask<-tyyear[i]
? tyyear[i]<-substr(ask,1,4)
}
#replicate cases
air<-data.frame(mi, tyda, tymo, tyyear, pm10, dates)
air$stratn<-as.numeric(strata(air$tyda, air$tymo,air$tyyear))
lest<-unique(air$stratn)
air$nctrl<-0
airbase<-air
#find the number of controls whithin each stratum
for (i in 1:length(lest))
{
?? a<-which(air$stratn==lest[i])
?? for (j in 1:length(a))
?? {
????? air$nctrl[a[j]]<-sum(air$mi[a[-j]])
?? }
}
#create cases and controls
cami<-rep(1,sum(mi))
ctmi<-rep(0,sum(air$nct...
2010 Nov 10
1
Init.d script troubleshooting.
...t shutdown/reboot time. At all.
I'm just confused, this ain't supposed to be this hard... Is there some way to debug init?
Suggestions?
Thanks
<-- /etc/init.f/Fast -->
#!/bin/bash
#
# Startup script for Fast
#
# chkconfig: 345 90 10
# description: Fast Search Engine
# processname: nctrl
echo "************************* In Fast ****************************"
# Source function library
. /etc/init.d/functions
RETVAL=0
FASTSEARCH=/opt/Opti/9.1/Fast/fast
BIN=${FASTSEARCH}/bin
LIBPATH=${FASTSEARCH}/lib
SHLIB=${FASTSEARCH}/lib
LD_LIBRARY_PATH=${FASTSEARCH}/lib
PYTHONPATH=${FAST...
2009 Jun 27
4
questions about meta-analysis
...20 137
5 Morrison 3 67 7 59
6 Papageorgiou 1 71 7 75
7 Tauesch 8 56 10 71
> a=meta.MH(n.trt,n.ctrl,ev.trt,ev.ctrl,names=name,data=cochrane)
> summary(a)
Fixed effects ( Mantel-Haenszel ) meta-analysis
Call: meta.MH(ntrt = n.trt, nctrl = n.ctrl, ptrt = ev.trt, pctrl = ev.ctrl,
names = name, data = cochrane)
------------------------------------
OR (lower 95% upper)
Auckland 0.58 0.38 0.89
Block 0.16 0.02 1.45
Doran 0.25 0.07 0.81
Gamsu 0.70 0.34 1.45...