Dear List,
Say, we generate data like this-
dat<-rnorm(1000,1,2)
hist(dat)
How do i make the histogram, say, red (col = 2) before X = dat = 0, and rest
say, green (col = 3) beyond X = dat = 0 in R?
The resulting histogram could be like this
http://ehsan.karim.googlepages.com/histogram.JPG (e
unreliable: use optimize
2: In fn(par, ...) : value out of range in 'gammafn'
Can
anyone
provide
me
hint?
Thank
you
for
your
time.
Ehsan
http://www.youtube.com/profile_play_list?user=wildsc0p
- Original Message ----
From: Mohammad Ehsanul Karim <[EMAIL PROTECTED]>
To: r-
Dear List,
I am not sure how should i optimize a log-likelihood numerically:
Here is a Text book example from Statistical Inference by George Casella, 2nd
Edition Casella and Berger, Roger L. Berger (2002, pp. 355, ex. 7.4 # 7.2.b):
data = x = c(20.0, 23.9, 20.9, 23.8, 25.0, 24.0, 21.7, 23.8, 22
Dear list,
After running for a while, it crashes and gives the following error message:
can anybody suggest how to deal with this?
Error in if (ratio0[i] < log(runif(1))) { :
missing value where TRUE/FALSE needed
### original program
p2 <- function (Nsim=1000){
x<
Can anybody give me a neat example of interval censored data analysis codes in
R?
Given that suvreg(Surv(c(1,1,NA,3),c(2,NA,2,3),type="interval2")~1)
works why does
survreg(Surv(data[,1],data[,2],type="interval2")~1)
not work where
data is :
T.1 T.2 Status
1 0.0
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