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2007 May 07
1
Predicted Cox survival curves - factor coding problems..
...o at least die gracefully -- but it's not).
The simple solution is to not use factors.
site1 <- 1*(coxsnps$sitenew==1)
site2 <- 1*(coxsnps$sitenew==2)
test1 <- coxph(Surv(time, censor) ~ snp1 + sex + site1 + site2 + gene +
eth.self + strata(edu), data= coxsnps)
output
profile1 <- data.frame(snp1=c(0,1), site2=c(0,0), sex=c(0,0),
site1=c(0,0), site2=c(0,0), geno=c(0,0) eth.self=c(0,0))
plot(survfit(test1, newdata=profile1))
Note that you do not have to explicitly make "edu" a factor. Since it is
included in a strata statement, the coxph r...
2007 May 04
0
Predicted Cox survival curves - factor coding problems...
...0.0604 1.062 0.0915 0.660 5.1e-01
sitenew1 0.5128 1.670 0.1381 3.712 2.1e-04
sitenew2 0.2688 1.308 0.1313 2.047 4.1e-02
geno 0.9702 2.639 0.0663 14.630 0.0e+00
eth_self 0.0871 1.091 0.1088 0.801 4.2e-01
profile1 <- data.frame(snp1=factor(c(0,1), levels=c("0", "1")), sex=0,
sitenew=0, geno=0, eth_self=0)
plot(survfit(test1, newdata=profile1))
Putting sitenew=0 in the dataframe produces the error
Error in x2 %*% coef : non-conformable arguments
implying the rows and column...
2002 Jan 09
3
R package-building
...uilding the package under unix.
$cwd/RadioSonde/R/*.R # including getsonde.R
$cwd/RadioSonde/man/*.Rd
$cwd/RadioSonde/data/ExampleSonde.txt
$cwd <prompt> R CMD check RadioSonde
[works fine, I can build]
In order to get the examples to "check" correctly they must be:
profile1 <- getsonde("RadioSonde/data/ExampleSonde.txt")
but then this is inappropriate for the installed version, which
really should key off the .path.package() ...
> system("pwd")
/home/thoar
> .path.package("RadioSonde")
[1] "/contrib/R-1.3.0/lib/R/library/...
2006 Mar 10
4
many servers and mobile users - "always use the most fresh user profile" - ideas?
I have a situation like below:
Samba servers in many cities; one "backup" server in the central
location that fetches user profiles each night (changes really with rsync).
Users work in many locations; sometimes one user can work in city A, and
a day later he can work in city B.
This means that they have problems with their profiles - user profile
for city A will be different from