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
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