Hi Serena
I'll add one more "in addition" to this list of suggestions. It may not
be what you were thinking of, but may be far simpler in the long run.
The complexity of your approach comes from having separate data files
for each subject and trial, for which you have to have a convention for
naming files and organizing them into coherently named directories.
The ideal solution would be to write your data into a single file, in
which subjects and trials would just be separate columns. More
generally, anything you can do to change separate files into
lines/records in a data frame will ease your task.
-Michael
On 7/22/18 6:40 PM, Rich Shepard wrote:
On Sun, 22 Jul 2018, Serena De Stefani wrote:
I need to automate a process in R. Basically I have a an R script (I will
call it R1) that needs three separate files to run. These three files are
the results output of one trial in my study.
The trials are specified by the labels: AA AB AM BA BB BM MA MB MM. So
for
subject 1, trial 1, I will have three files with the ending
…mov1_AA
For subject one, trial 2, R should choose the three files with the
ending …
mov1_AB and so on.
Serena,
In addition to Jim's advice about your directory structure you should
seriously consider your file naming convention. Just like variable names in
a program, you're almost guaranteed to not remember what each two-character
name means within six months of creating them. Spend a little more time
typing and use descriptive names ... and think of using a .dat extension
and
using read.table(*.dat).
You can name your files, for example, input_1.R, input_2.R, and
input_3.R
for your run sources. And, for (e.g.,) subject 1, trial 1, name the file
sub1_trial1. This might produce output called sub1_trial1_input1,
sub1_trial1_input2, and sub1_trial1_input3.
Now when you look at data.frames or output you and everyone else will
know
just what each contains.
Have fun,
Rich
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