[R] R for loop stops after 4 iterations
Dennis Murphy
djmuser at gmail.com
Sun Oct 23 06:05:04 CEST 2011
Hi:
Here are a couple of ways, using the data snippet you provided as the
input data frame e.
Start by defining the function, which outputs a percentage:
f <- function(n, mean, sd) {
s <- rnorm(n, mean = mean, s = sd)
round(100 * sum(s > 0.42)/length(s), 4)
}
(1) Use the plyr package and its mdply() function. Note that
the columns of epars have the same names as the arguments
of f.
library('plyr')
mdply(epars, f)
n mean sd V1
1 1673 0.36 0.08 24.0287
2 167 0.36 0.08 23.9521
3 99 0.37 0.06 18.1818
4 116 0.38 0.07 22.4138
5 95 0.41 0.08 40.0000
(2) Split the columns of e into vectors and use mapply():
ssize <- e[, 1]
mns <- e[, 2]
sds <- e[, 3]
mapply(f, ssize, mns, sds)
[1] 21.3987 19.1617 22.2222 32.7586 45.2632
mapply() just returns the percentages. The percentages are different
between the two calls because the samples are different.
HTH,
Dennis
On Sat, Oct 22, 2011 at 4:33 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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