Hi R User,
I was trying to calculate ratios with confidence interval using Monte Carlo
simulation but I could not figure it out.
Here is the example of my data (see below), I want to calculate ratios
(dat$v1/dat$v3 & dat$v2/dat$v3) and its confidence intervals using a 100
randomly selected data sets.
Could you please give me your suggestions how I can estimate ratios with
CI?
I will be very grateful to you.
Sincerely,
MW
---
dat<-structure(list(v1 = c(NA, TRUE, TRUE, TRUE, TRUE, TRUE, NA, TRUE,
NA, NA, TRUE, TRUE, TRUE, TRUE, NA, NA, TRUE, TRUE), v2 = c(TRUE,
NA, NA, NA, NA, TRUE, NA, NA, TRUE, TRUE, NA, TRUE, TRUE, NA,
NA, TRUE, TRUE, NA), v3 = c(TRUE, TRUE, NA, TRUE, TRUE, NA, NA,
TRUE, TRUE, NA, NA, TRUE, TRUE, TRUE, NA, NA, TRUE, NA)), .Names = c("v1",
"v2", "v3"), class = "data.frame", row.names = c(NA, -18L))
ratio1<-length(which(dat$v1 == "TRUE"))/length(which(dat$v3 == "TRUE"))
ratio2<-length(which(dat$v2 == "TRUE"))/length(which(dat$v3 == "TRUE"))
Thanks
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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.
