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.
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