--- [EMAIL PROTECTED] wrote:
> Dear R users,
>
> This is a trivial question, there might even be an R
> function for it, but I have
> to do it many times and wonder if there is an
> efficient for it.
>
>
> Suppose we have a data frame like this:
> d <- data.frame(x=sample(seq(0.1:1, by=0.01),
> size=100, replace=TRUE),
> y=rnorm(100, 0.2, 0.6))
>
> and want to have the average of y for a given
> interval of x, for example
> mean(y)[0>x>0.1]. Is there a simple way of doing
> this or I need to improvise?
I don't think so. I don't think there is any value of
x < 0.1 in the dataframe.
However if we change the data.frame to read
d <- data.frame(x=sample(seq(0.01:1, by=0.01),
size=100, replace=TRUE),
y=rnorm(100, 0.2, 0.6))
dd <- subset(d, x> 0 & x < 0.1)
mean(dd[,2])
seems to work.
or if you do this a lot you might want to write it as
a funtion.
sub.mean <- function (frame, first.col, second.col,
upper, lower) {
dd <- subset(frame, first.col > lower & first.col <
upper)
mean(frame[,2])
}
sub.mean(d, 1,2,0.1,0)
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