Hi Robin:
I think you can avoid the loops doing this:
my.df<-data.frame(d.o.w=sample(c("mon","sat","sun"), 20, replace=T),
admissions=rnorm(20))
weight <- c(1,1,1,1,1,1.21,1.22)
names(weight) <- c("mon","tue","wed","thu","fri","sat","sun")
my.df$NewAdm <- my.df$admissions * weight[as.character(my.df$d.o.w)]
my.df
Gabriela
----- Original Message -----
From: "Robin Williams" <[EMAIL PROTECTED]>
To: <r-help@r-project.org>
Sent: Wednesday, July 23, 2008 12:44 PM
Subject: [R] Using if, else statements
Hi all,
Again I have searched the net and so on, without finding an answer to this
surely simple problem. A short bit of code would be appreciated.
I have a object named `data' with the following column headings.
Date, maxitemp, minitemp, admissions, d.o.w.
Where d.o.w. is day of the week, written "Sun" "Mon" etc.
I just need to scale the Monday admissions by 0.91, the Saturday
admissions by 1.21 and the Sunday admissions by 1.22. So basically what I
want is:
If d.o.w. == "Sat"
Multiply Sat admissions by 1.21.
(Now do I need an else statement here, or can I just do another)
If d.o.w. == "Sun"
Multiply "Sun" admissions by 1.22
(and finally)
If d.o.w. == "Mon"
Multiply Monday admissions by 0.91.
Else do nothing.
I assume in my code I need to specify that I am using the data.frame
`data', so do I need to write things like
If(data[d.o.w.]=="Mon")
I would then like to round the new admissions to integers (I assume I
just
use round(data$admissions)), and output the new data to another csv file.
I could of course do this in excel but I will need to extend this type of
idea in the future so I would like to master it in R.
Many thanks for any help/code.
Robin Williams.
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