Hello,
You can process several files at a time with repeated use of *appy
functions. Something like the following (not tested).
# This first instruction may not be needed
old_dir <- setwd("path/to/txt/files")
# Get the filenames in a vector and read them in
txt_files <- list.files(pattern = ".*\\.txt")
txt_list <- lapply(txt_files, read.table, args)
In the above lapply command, args are the arguments to read.table. For
instance, header = TRUE, stringsAsFactors = FALSE, etc.
Now put your summary stats code in a function and run it through the
data.frames in the list. Then save the results as csv files.
stats_list <- lapply(txt_list, summary_stats_function)
csv_files <- sub("txt", "csv", txt_files)
lapply(seq_along(csv_files), function(i) write.csv(stats_list[[i]],
csv_files[i]))
setwd(old_dir) # reset, if needed
Hope this helps,
Rui Barradas
On 4/19/2018 12:45 PM, Neotropical bat risk assessments wrote:
Hi all,
I am looking for syntax to read a list of *txt files, (loop through?)
each with a different data content but same fields, then run lines of
code to produce summary stats (I have working code for this) and add the
matching data file name when writing the results of a line of R code.
Suggestions on any package vignettes that may be useful welcomed.
My manual code for this is below and need to understand how to have the
"DataFile" name changed to match the name of each data file as it is
read and processed.
*write.csv(BatStats,file="C:\\=Bat data working\\Acoustic
Parameters\\DataFile_Stats.csv")*
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