[R] Data Import to R

[MacQueen, Don]

Petr is almost certainly correct. A further suggestion:

Continue to import using stringsAsFactors = FALSE

On one of the columns that should be numeric, use as.numeric(), find the
NA's in the result of that, and then look at those rows of the data. There
will be something there that is non-numeric. By any chance, does your data
use a comma instead of a decimal point (see the "dec" argument to
read.table)?

-- 
Don MacQueen

Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062





On 11/13/14, 10:01 PM, "PIKAL Petr" <petr.pikal at precheza.cz> wrote:

>Hi
>
>Your original numeric data probably contain something which prevents
>read.* to accept them as numeric (decimal point, white space)
>
>what is result of
>
>str(imported.data)
>
>Petr Pikal
>
>> -----Original Message-----
>> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
>> project.org] On Behalf Of Ramesh Gautam
>> Sent: Friday, November 14, 2014 1:28 AM
>> To: r-help at r-project.org
>> Subject: [R] Data Import to R
>>
>> While importing .csv files into R, all data are converted to factor-by
>> default. But, how can I preserve the original format of the data like
>> numeric to numeric, integer to integer, character to character etc
>> while importing from csv to R environment.
>>
>> I tried several ways, no thing helps. I used 'stringsAsFactor = FALSE'
>> command, it did convert all data to characters. But, I wanted to
>> preserve the numeric data to be in integer or double.
>>
>> Any idea? examples?
>
>Your original numeric data probably contain something which prevents
>read.* to accept them as numeric (decimal point, white space)
>
>What is result of str(imported.data)
>
>Example of data is up to you, we do not have them.
>
>Cheers
>Petr
>
>
>>
>> Thanks
>>
>>       [[alternative HTML version deleted]]
>>
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