Evidently, you want your loop to create new data frames, named (in this example)
df_selected1
df_selected2
df_selected3
Yes, it can be done. But to do it you will have to use the get() and assign()
functions, and construct the data frame names as character strings. Syntax like
df_bs_id[3]
does not give you df_bs_id3.
R experts typically discourage this kind of approach. A method more consistent
with how R is designed to work would be to store the data frames as elements of
a list.
dflst <- list(df_bs_id1, df_bs_id2, df_bs_id3)
nframes <- length(dflist)
newdf <- dflst
for (id in seq(nframes)) {
newdf[id] <- dflst[[ id ]][ , c("column1", "column2")]
}
Optionally, you could name the list elements:
names(dflst) <- paste0('df_selected', seq(nframes))
After which you would have the original data frames as elements of dflst, and
the processed data frames as elements of newdf. The loop can be simplified a
bit if you don't need to keep copies of the original data frames.
With this approach, it would be better create dflst using a loop over the
incoming file names, running read.csv() inside the loop. In which case you
would never create separate data frames df_bs_id1, df_bs_id2, etc.
I have used both approaches at various times over the years, and each has pros
and cons. In general, I would recommend the list approach, however, especially
if you have a large number of files to process.
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
Lab cell 925-724-7509
On 5/10/18, 7:33 AM, "R-help on behalf of Marcelo Mariano Silva"
<r-help-boun...@r-project.org on behalf of marcelomarianosi...@gmail.com> wrote:
Hi,
Is it possible use a loop to process many data frames in the same way?
For example, if I have three data frames, all with same variables
df_bs_id1 <- read.csv("test1.csv",header =TRUE)
df_bs_id2 <- read.csv("test2.csv",header =TRUE)
df_bs_id3 <- read.csv("test3.csv",header =TRUE)
How could I would implement a code loop that , for instance, would select
two coluns of interest in a fashion of the code below ?
# selecting only 2 columns of interest
for (1, 1:3) {
df_selected [i] <- df_bs_id[i] [ , c("column1", "column2")] }
Tks
MMS
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