It would help if I could see beyond my allergy meds.
A start could be:
colSums(subset(md,md$device==1)==5,na.rm=T)
colSums(subset(md,md$device==2)==5,na.rm=T)
colSums(subset(md,md$device==3)==5,na.rm=T)
Clint Bowman INTERNET: cl...@ecy.wa.gov
Air Quality Modeler INTERNET: cl...@math.utah.edu
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On Tue, 16 Jun 2015, Dimitri Liakhovitski wrote:
Hello!
I have a data frame:
md <- data.frame(a = c(3,5,4,5,3,5), b = c(5,5,5,4,4,1), c = c(1,3,4,3,5,5),
device = c(1,1,2,2,3,3))
myvars = c("a", "b", "c")
md[2,3] <- NA
md[4,1] <- NA
md
I want to count number of 5s in each column - by device. I can do it like this:
library(dplyr)
group_by(md, device) %>%
summarise(counts.a = sum(a==5, na.rm = T),
counts.b = sum(b==5, na.rm = T),
counts.c = sum(c==5, na.rm = T))
However, in real life I'll have tons of variables (the length of
'myvars' can be very large) - so that I can't specify those counts.a,
counts.b, etc. manually - dozens of times.
Does dplyr allow to run the count of 5s on all 'myvars' columns at once?
--
Dimitri Liakhovitski
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