Your problem is the the data read in from the spreadsheet is probably
a 'factor' since it has a non-numeric in the column. To change it to
number you have to do the following
as.numeric(as.character(yourdata$TeamLeaderID))
What you as seeing with just the call to as.numeric is the value of
the 'factor', not the value of the number.
On Thu, Nov 29, 2012 at 2:53 PM, Steven Ranney <steven.ran...@gmail.com> wrote:
> All -
>
> How can I read in a column of alphanumeric values without including
> ".0" on the numeric values?
>
> Original column:
>
> TeamLeaderID
> 258
> 342
> 316
> U8
> 331
> 279
> D1
> 116
> 235
> 296
> ...
> [truncated]
>
> leaders = read.xlsx2('FILE', sheetIndex = 1, header = T)
>
> Column after it's been read in:
>
> leaders$TeamLeaderID
> 258.0
> 342.0
> 316.0
> U8
> 331.0
> 279.0
> D1
> 116.0
> 235.0
> 296.0
> ...
> [truncated]
>
> If I try
>
> as.numeric(leaders$TeamLeaderID), everything gets converted:
>
> leaders$TeamLeaderID
> 11
> 27
> 19
> 54
> 23
> 13
> 28
> 2
> 8
> 15
> ...
> [truncated]
>
> as.character() and as.vector() leave the ".0" in place.
>
> These data are being used to merge two files, one whose
> data$TeamLeaderID is identical to the original column of values above.
> When I try to merge the dataframes by "TeamLeaderID," R can't match
> the numbers without decimal to the ones that have decimal points. The
> alphanumeric TeamLeaderID values merge without a problem. As a
> result, I get a dataframe filled with the proper values for those
> TeamLeaderID values that are alphanumeric, but "NA" values for those
> whose values are strictly numeric.
>
> How can I read in the values without R adding the ".0" to the end of
> the numerals? If there isn't a way, how can I automate the removal of
> the ".0," as I have several 10s of TeamLeaderID values?
>
> I'm using 64-bit R v. 2.15.1 on a Windows 7 machine.
>
> Thank you -
>
> Steven H. Ranney
>
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--
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.
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