Note that creating separate variables out of your data frame is
not really a good idea. However, to answer your question:
# this puts it on the path
iris.lc <- iris
names(iris.lc) <- tolower(names(iris.lc))
attach(iris.lc)
search() # shows where its located
print(head(sepal.length))
detach() # get rid of it
search() # now its not there
# this puts them right in the global environment
for(nm in names(iris))
assign(tolower(nm), iris[[nm]], .GlobalEnv)
ls()
print(head(sepal.length))
rm(list = tolower(names(iris))) # remove them
Also note ?with which is probably preferred:
iris.lc <- iris
names(iris.lc) <- tolower(names(iris.lc))
with(iris.lc, {
print(head(sepal.length))
print(head(sepal.length+1))
})
On 6/2/06, Milton Cezar <[EMAIL PROTECTED]> wrote:
> Dear All,
>
> I have read a table using
> DataTABLE <- read.table("mytable.txt, header=T)
>
> And get the following data structure
> Var1 VAR2 VaR3 Var4 ...
>
> How can I list all collumn names (in lowcase) and create variables from
> table collumns. By hand I do
> var1 <- DataTABLE$Var1
> var2 <- DataTABLE$VAR2
> var3 <- DataTABLE$VaR3
> var4 <- DataTABLE$Var4
>
> Unfortunatelly these data come as an output from other program and the data
> file have about 80 collumns.
>
> Thanks in advance!
>
> miltinho
>
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