[R] data import: strange experience

[David Carlson]

This is not really enough information to diagnose the problem.
What are the missing factor levels? Were the missing levels
combined with another level or do you have missing values (NA)
for those observations? Do the extra factor levels include
embedded commas? There are differences between read.table and
read.csv in the default quote= and comment.char= arguments.

-------------------------------------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77840-4352

-----Original Message-----
From: r-help-bounces at r-project.org
[mailto:r-help-bounces at r-project.org] On Behalf Of SH
Sent: Wednesday, August 21, 2013 9:36 AM
To: r-help at r-project.org
Subject: [R] data import: strange experience

Dear List:

I had some strange experience in importing data.  I wonder if
anyone of you
had the same problem before and would greatly appreciate your
suggestion in
advance.

The original data set in excel format.

Here is a brief summary of the procedure I did:
1. I saved the original excel data as csv and txt formats,
separately.
2. I imported two data using the following codes.  There were no
error
messages.
dftxt = read.table('df.txt',header=T, sep='\t')
dfcsv = read.csv('df.csv',header=T, sep=',')
3. When I checked data with 'str', I found that factor levels of
a variable
were different each other.
Levels of dftxt were less than those of dfcsv (48 vs 52).
4. So, I checked 'df.txt' file and found that the missing levels
were still
there, i.e., there is a no problem in text file.  I suspect that
something
happened when I imported it into R.

Since there was no errors in importing the file into R, I do not
have an
idea where to start to fix it.  Do you have any suggestion?

Thank you very much in advance,

SH

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