[R] Strange column shifting with read.table

Rolf Turner r.turner at auckland.ac.nz
Mon Aug 3 04:46:02 CEST 2009


On 3/08/2009, at 1:48 PM, David Winsemius wrote:

>
> On Aug 2, 2009, at 7:29 PM, Rolf Turner wrote:
>
>>
>> On 3/08/2009, at 11:14 AM, David Winsemius wrote:
>>
>>>
>>> On Aug 2, 2009, at 7:02 PM, Noah Silverman wrote:
>>>
>>>> Hi,
>>>>
>>>> It seems as if the problem was caused by an odd quirk of the  
>>>> "scale"
>>>> function.
>>>>
>>>> Some of my data have NA entries.
>>>>
>>>> So, I substitute 0 for any NA with:
>>>> rawdata[is.na(rawdata)] <- 0
>>>
>>> Perhaps this would have done what you intended:
>>>
>>> rawdata[is.na(rawdata), ] <- 0
>>
>> 	I don't think this works at all.  E.g.:
>>
>> 	set.seed(42)
>> 	junk <- matrix(rnorm(60),12,5)
>> 	junk[sample(1:60,14)] <- NA
>> 	junk[is.na(junk),] <- 0 # Throws an error.
>> 	junk[is.na(junk)] <- 0  # Gives the desired result.\\
>
> Then how about? ....
>
> junk2 <- replace(junk, is.na(junk), 0)

That certainly works --- and is a potentially useful piece of syntax  
of which I was
previously unaware (thank you) --- but the OP's syntax also worked  
(and gives identical results
to yours).  I.e. the OP's problem was *not* induced by the way he  
went about replacing
NA's by zeroes, irrespective of the fact that that's a silly thing to  
do.

	cheers,

		Rolf Turner

######################################################################
Attention:\ This e-mail message is privileged and confid...{{dropped:9}}




More information about the R-help mailing list