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 = ??
#
Thanks for any help
R.Heberto Ghezzo Ph.D.
Montreal - Canada
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
