Hi Rob Williams
I think it is one way of you do the job.
Cheers,
miltinho astronauta
brazil
my.df<-data.frame(cbind(data=sample(c("mon","sat","sun"), 20, replace=T),
values=rnorm(20)))
my.df$values<-as.numeric(my.df$values)
data.weigth<-read.table(stdin(), head=T, sep=",")
data,weigth
mon,0.91
sat,1.21
sun,1.22
data.weigth
data.merge<-merge(my.df, data.weigth, by.x="data", by.y="data", all=T)
data.merge$values.weigth<-data.merge$values*data.merge$weigth
data.merge
On 7/23/08, Robin Williams <[EMAIL PROTECTED]> wrote:
>
> Hi all,
>
> Again I have searched the net and so on, without finding an answer to this
> surely simple problem. A short bit of code would be appreciated.
>
> I have a object named `data' with the following column headings.
>
> Date, maxitemp, minitemp, admissions, d.o.w.
>
> Where d.o.w. is day of the week, written "Sun" "Mon" etc.
>
> I just need to scale the Monday admissions by 0.91, the Saturday
> admissions by 1.21 and the Sunday admissions by 1.22. So basically what I
> want is:
>
> If d.o.w. == "Sat"
>
> Multiply Sat admissions by 1.21.
>
> (Now do I need an else statement here, or can I just do another)
>
> If d.o.w. == "Sun"
>
> Multiply "Sun" admissions by 1.22
>
> (and finally)
>
> If d.o.w. == "Mon"
>
> Multiply Monday admissions by 0.91.
>
> Else do nothing.
>
> I assume in my code I need to specify that I am using the data.frame
> `data', so do I need to write things like
>
> If(data[d.o.w.]=="Mon")
>
> I would then like to round the new admissions to integers (I assume I just
> use round(data$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.
>
>
> [[alternative HTML version deleted]]
>
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>
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