Dear kxk,
Here are a couple of options:
# Option 1 -- sapply
mydata <- sapply(1970:2005, function(i){
mydata <- read.table(file = paste("edge_", i, ".csv",
sep=""), header=TRUE)
# more code goes here
}
)
Please note that mydata would be a list, so to access the data for 1970,
type mydata[[1]] in the R Console.
# Option 2 -- create a function foo
Another possibility would be to create a function, e.g foo, that reads the
data in and does the procedures you need for each file. It would be
something like:
foo <- function(nameFile){
mydata <- read.table(file = paste("edge_", nameFile, ".csv",
sep=""), header=T)
# more code goes here
}
To do what you want for one file, just type
onefile <- foo(1970)
in the R Console. To do all your files at once, then
myresults <- sapply(1970:2005, foo)
is what you need. Once again, myresults would be a list.
Now, If you insist using a for loop, then
1. Avoid to use "t". It is an R function. See ?t
2. Rewrite your loop as
edge <- NULL
for (i in 1970:2005){
edge[[i]] <- read.table(file = paste("edge_", i, ".csv", sep=""),
header=TRUE)
# more code goes here
}
3. Use the "[[" operator to extract the information you need from "edge".
Also, you might be interested in the foreach package <
http://cran.r-project.org/web/packages/foreach/>. Take a look at the
Vignette that come with it.
See ?sapply and ?"for" for more details.
HTH,
Jorge
On Wed, Jul 22, 2009 at 5:46 PM, kxk <kk...@u.washington.edu> wrote:
>
> I want to use read.table to input many files, each for a different year. I
> would like to use the macro variable 't' to refer to the exact file that I
> would like to input the data using read.table. How could I do this? Thank
> you!
>
> for (t in 1970:2005)
> { edge <- read.table(file="edge_t.csv", header=T, sep=",")
> ## I will have many rows of code following the read.table line
> }
>
> --
> View this message in context:
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> Sent from the R help mailing list archive at Nabble.com.
>
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