Example data in a recent post was:
LandFill Ruminants
United States (USA) 7777.214280 5528.16
France 200.527083 1299.87
Australia 185.878368 2448.17
Russian Federation 1752.833400 2024.29
Argentina 283.987320 2567.02
Brazil 1048.422480 8839.61
Colombia 265.125000 1307.61
Mexico 981.023351 1814.89
Ethiopia 9.380204 1237.49
Sudan 16.018494 1796.67
India 553.425328 12360.30
Pakistan 47.159393 2346.71
China 455.680191 8041.79
In trying to play with this posting, I saved the data as a .csv file where the
first row had only two entries and read:
, LandFill, Reminants
I tried reading the data in with
read.csv("ex.csv", header=TRUE)
To my surprise this created a 3 column dataframe with the first column labeled
as X. X was a factor. According to the help file:
"If there is a header and the first row contains one fewer field than the
number of columns, the first column in the input is used for the row names.
Otherwise if row.names is missing, the rows are numbered. "
I got the expected default behavior of having the unlabeled column become row
labels when I tried,
read.csv("ex.csv", header=TRUE, row.names=1)
Is this unexpected behavior somehow related to how I designed a .csv file or is
there something I'm misinterpreting in the documentation?
Thanks,
Rob Baer
> version
_
platform i386-pc-mingw32
arch i386
os mingw32
system i386, mingw32
status
major 2
minor 4.0
year 2006
month 10
day 03
svn rev 39566
language R
version.string R version 2.4.0 (2006-10-03)
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