Conditional operations in R
Hello,
In R you would use vectorized instructions, not a do while loop.
dat <- read.table(text="
client pct_total
A 15%
B 10%
C 10%
D 9%
E 8%
F 6%
G 4%
", header = TRUE)
# Make it numeric
dat$pct_total <- with(dat, as.numeric(sub("%", "", pct_total))/100)
str(dat) # see its STRucture
top <- which(dat$pct_total >= median(dat$pct_total)) # make index vector
sum(dat$pct_total[top])
Hope this helps,
Rui Barradas
Em 18-09-2012 15:41, ramoss escreveu:
Hello, I am a newbie to R coming from SAS background. I am trying to program the following: I have a monthly data frame with 2 variables: client pct_total A 15% B 10% C 10% D 9% E 8% F 6% G 4% I need to come up w/ a monthly list of clients that make 50% or just above it every month so I can pass them to the rest of the program. In this case the list would contain the first 4 rows. top <- client[c(1,4),] toptot <- sum(top$PCTTOT) How can I make this automatic? In SAS I would use macro w/ a do while. Thanks for your help. -- View this message in context: http://r.789695.n4.nabble.com/Conditional-operations-in-R-tp4643497.html Sent from the R help mailing list archive at Nabble.com.
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