Hi Gabrielle,
I get the feeling that you are trying to merge data in which each file
contains different variables, but the same subjects have contributed
the data. This a very wild guess, but it may provide some insight.
# assume that subjects are identified by a variable named "subjectID"
# creat
On 02/11/2021 6:30 p.m., gabrielle aban steinberg wrote:
Hello, I would like to merge 18 csv files into a master data csv file, but
each file has a different number of columns (mostly found in one or more of
the other cvs files) and different number of rows.
I have tried something like the follo
Newmiller
Sent: Wednesday, November 3, 2021 1:22 PM
To: r-help@r-project.org; Robert Knight ; gabrielle
aban steinberg
Cc: r-help
Subject: Re: [R] Fwd: Merging multiple csv files to new file
Data type in a CSV is always character until inferred otherwise... it is not
necessary nor even easier
>(Maybe the R Studio free trial/usage is underpowered for my project?)
- R is a computer language, as well as a program for interpreting R source code.
- RStudio Desktop is an editor with "features" intended to make using R easy.
It cannot "do" anything without R being installed.
- R is completel
Data type in a CSV is always character until inferred otherwise... it is not
necessary nor even easier to manipulate files with Python if you are planning
to use R to manipulate the data further with R. Just use the
colClasses="character" argument for read.csv.
On November 3, 2021 9:47:03 AM PD
The error message arises because you are sometimes delimiting character
strings using non-ASCII open and close double quotes, '“' and '”', instead
of the old-fashioned ones, '"', which have no open or close variants. This
is a language syntax error, so R didn't try to compute anything.
The others
It might be easier to settle on the desired final csv layout and use Python
to copy the rows via line reads. Python doesn't care about the data type
in a given "cell", numeric or char, whereas the type errors R would
encounter would make the task very difficult.
On Wed, Nov 3, 2021, 10:36 AM gabr
I should have added that once read into R, the collection of data frames
(presumably) can also be saved in one .Rdata file via save() **without**
first combining them into a list. I still prefer keeping them together as
one list in R, but that's up to you.
Bert Gunter
"The trouble with having an
1. Think more carefully about the appropriate data structure for what you
wish to do. It's unlikely to be .csv files, however.
In the absence of the above, a simple (but perhaps inappropriate) default
is:
2. Read the files into R and combine into a list.(You will need to read
about lists in R if
tions in R.
-Original Message-
From: R-help On Behalf Of gabrielle aban
steinberg
Sent: Tuesday, November 2, 2021 6:31 PM
To: r-help@r-project.org
Subject: [R] Fwd: Merging multiple csv files to new file
Hello, I would like to merge 18 csv files into a master data csv file, but each
fil
Hello, I would like to merge 18 csv files into a master data csv file, but
each file has a different number of columns (mostly found in one or more of
the other cvs files) and different number of rows.
I have tried something like the following in R Studio (cloud):
all_data_fit_files <- rbind("dai
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