You need to study my examples and the helpfile of ifelse more carefully.
Then you'll understand why your code is wrong.
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
I am sorry, I missed that. I think I made it more appropriate and not
using unnecessary simulated values. Thank you for your help.
fulldata$Wt<-ifelse(fulldata$Sex==1,rlnorm(length(fulldata$Sex[fulldata$Sex==1]),
meanlog = log(85.1), sdlog = sqrt(0.0329)),
Please keep r-help in cc.
Yes. Have a look at this example
ifelse(
sample(c(TRUE, FALSE), size = 0.5 * length(letters), replace = TRUE),
letters,
LETTERS
)
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
team Biometrie &
Dear Ayyappa,
ifelse works on a vector. See the example below.
ifelse(
sample(c(TRUE, FALSE), size = length(letters), replace = TRUE),
letters,
LETTERS
)
However, note that it will recycle short vectors when they are not of equal
length.
ifelse(
sample(c(TRUE, FALSE), size = 2 *
Dear Group,
I am trying to simulate a dataset with 200 individuals with random
assignment of Sex (1,0) and Weight from lognormal distribution specific to
Sex. I am intrigued by the behavior of rlnorm function to impute a value
of Weight from the specified distribution. Here is the code:
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