R for loop stops after 4 iterations
Oops!! Meant pnorm(, lower.tail = FALSE) -- don't do qnorm or bad things will happen. Sorry, Michael On Sat, Oct 22, 2011 at 8:28 PM, R. Michael Weylandt
<michael.weylandt at gmail.com> wrote:
There's a seeming inconsistency in this question -- namely, ?you provide an example of a data frame with 4 columns but say it is 27x3 -- but I think your question comes from a misunderstanding of what length(e) calculates. For a data frame it gives the number of columns back. Hence if you have a 27x4 data frame (which you appear to) iterations will only fill the first four elements of output. You'd probably rather use NROW(e). As an aside, for these sort of loops, seq_along() is usually a very good choice, but it doesn't work here because of the length() thing. On another note, why don't you just do the calculation analytically and save yourself some trouble? # Something like with(e, qnorm(0.42, V2, V3)*100) Michael On Sat, Oct 22, 2011 at 7:33 PM, Philip Robinson <philip.c.robinson at gmail.com> wrote:
I have a data frame called e, dim is 27,3, the first 5 lines look like this:
? ? V1 ? V2 ? V3 ? ? ? ?V4
1 ?1673 0.36 0.08 ?Smith
2 167 0.36 0.08 ? ? Allen
3 ? ?99 0.37 0.06 ? ? Allen
4 ? 116 0.38 0.07 ? ? Allen
5 ? ?95 0.41 0.08 ? ? Allen
I am trying to calculate the proportion/percentage of V1 which would have
values >0.42 if V2 was the mean of a normal distribution with V1 people and
a standard distribution of V3. The loop works but only for 4 iterations then
stops, I can't understand why, the code and the output are below
output <- rep(NA, 27)
for (i in 1:length(e))
{
x <- rnorm(n=e[i,1], mean=e[i,2], sd=e[i,3])
n <- e[i,1]
v <- x>0.42
q <-(sum(v)/n)*100
output[i] <- q
}
output
[1] 22.23551 27.54491 25.25253 19.82759 ? ? ? NA ? ? ? NA ? ? ? NA ? ? ? NA NA [10] ? ? ? NA ? ? ? NA ? ? ? NA ? ? ? NA ? ? ? NA ? ? ? NA ? ? ? NA ? ? ? NA NA [19] ? ? ? NA ? ? ? NA ? ? ? NA ? ? ? NA ? ? ? NA ? ? ? NA ? ? ? NA ? ? ? NA NA ? ? ? ?[[alternative HTML version deleted]]
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