Hello,
I wish to examine the influence of error in variables on my analyses via
error propagation. I have a data frame (x) as follows:
id response
1 -121
2 -131
3 -125
etc.....
I wish to propagate errors for each row in the data frame, where error
is distributed around the value of the response variable. To do this, I
wish to simulate 1000 variables for each row in the above data frame. I
wrote the following, but suspect that it is not applying the function to
each row....
sim<-rnorm(1000,mean=x$response, sd= (rnorm(1000,mean= 9.454398,
sd=1.980136)))
Do I need to use tapply to have the function iteratively go through each
row?
Any advice would be appreciated.
-Steve
[[alternative HTML version deleted]]
______________________________________________
[email protected] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
