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Thanks, Petr. Your insight has helped me out a lot.
Billy
Petr Savicky-2 [via R] wrote:
On Mon, Mar 21, 2011 at 02:28:32PM -0700, armstrwa wrote:
> Hi all,
>
> Forgive me for this basic question. I've been doing some research
and
> haven't been able to figure out how to best do this yet.
>
> I have 75 variables defined as vector time series. I am trying to
create a
> script to automate calculations on each of these variables, but I
wasn't
> sure how to go about calling variables in a script.
>
> I am hoping to write a loop that calls a list of variable names
and runs
> several tests using each of the datasets I have entered.
>
> For example, say I have a defined 5 variables: var1, var2,...var5.
How
> could I create a script that would run, say, a MannKendall
correlation test
> on each variable?
Hi.
A typical way, how to perform a loop over several variables, is
to keep the variables in a list. For example
lst <- list(var1=2:5, var2=c(23, 56), var3=seq(0, 1, length=11))
lst
$var1
[1] 2 3 4 5
$var2
[1] 23 56
$var3
[1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
for (i in seq.int(along=lst)) {
print(mean(lst[[i]]))
}
[1] 3.5
[1] 39.5
[1] 0.5
It is also possible to loop over isolated variables. For example
var1 <- 2:5
var2 <- c(23, 56)
var3 <- seq(0, 1, length=11)
for (varnam in c("var1", "var2", "var3")) {
x <- get(varnam)
print(mean(x))
}
Hope this helps.
Petr Savicky.
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