[R] unexpected read.csv behavior
Duncan Murdoch
murdoch at stats.uwo.ca
Tue Oct 24 00:15:35 CEST 2006
On 10/23/2006 5:54 PM, Robert Baer wrote:
> 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. "
Your first row contains 3 columns, the first one blank. You don't want
a comma before LandFill.
Duncan Murdoch
>
> 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)
>
>
>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
More information about the R-help
mailing list