Hi,
On Wed, Aug 1, 2012 at 9:06 AM, R Heberto Ghezzo, Dr
<heberto.ghe...@mcgill.ca> wrote:
> Hello,
> I have a big data frame where consecutive time dates and corresponding
> observed values for each subject (ID) are on a line. I want to compute the
> linear slope for each subject. I would like to use apply but I do
> not know how to express the corresponding function. An example using a loop
> follows
> #
> # create dummy data set There are missing values
> a <- c(1,2,3,4, 1,1,1,1, 2,2,3,3, 3,4,NA,4, 5,5,5,5,
> 2.1,2.2,2.3,2.4, 2.3,2.4,2.6,2.6, 2.5,2.6,2.9,3,
> 2.6,NA,3.2,4)
> a <- matrix(a, nr=4)
> aa <- as.data.frame(a)
> names(aa) <- c("ID","X1","X2","X3","X4","Y1","Y2","Y3","Y4")
> #
> # I want the regression coefficientes of the Y on the X for each ID
> #
> sl <- rep(NA,4)
> for(i in 1:4) {
> x1 <- a[i,2:5]
> y1 <- a[i,6:9]
> sl[i] <- lm(y1 ~ x1)$coef[2]
> }
> sl
> #
> # I would like to use apply on the data.frame aa but with which function?
> #
> sl <- apply(aa,1,FUN) # FUN = ??
You could do it as a one-liner, but it's a lot more understandable if
you write your own function.
myfun <- function(a) {
x1 <- a[2:5]
y1 <- a[6:9]
lm(y1 ~ x1)$coef[2]
}
Then you can pass that function to apply:
sl <- apply(aa,1,myfun)
Sarah
--
Sarah Goslee
http://www.functionaldiversity.org
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