Hi
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of jeharmse
> Sent: Monday, March 11, 2013 5:28 PM
> To: r-help@r-project.org
> Subject: Re: [R] Re move row.names column in dataframe
>
> > 1.
Thank you. This does what I want (apparently by coercing data.frame to list
with no other structure).
--
View this message in context:
http://r.789695.n4.nabble.com/Remove-row-names-column-in-dataframe-tp856647p4661049.html
Sent from the R help mailing list archive at Nabble.com.
_
> 1.If your data frame is numeric, change it to matrix.
It isn't necessarily numeric.
> 2.Or make your own function
I think that's the solution, but the function has to handle both NA and
non-numeric.
equal.NA <- function(x,y)
all(is.na(x)==is.na(y)) && all(is.na(x) | x=
On 2013-03-11 06:07, Jorgen Harmse wrote:
identical(df[1,],df[2,]) is FALSE because of the row names. all( == ) is just a
work-around that I attempted.
Jorgen.
I would just wrap the elements in c():
identical( c(df[1,]), c(df[2,]) )
Peter Ehlers
On Mar 11, 2013, at 02:53 , PIKAL Petr w
as.character instead of as.numeric, the result will be probably
same (except the warning)
Regards
Petr
From: Jorgen Harmse [mailto:jorgen.har...@civitaslearning.com]
Sent: Monday, March 11, 2013 2:08 PM
To: PIKAL Petr
Cc: r-help@r-project.org
Subject: Re: [R] Re move row.names column in dataframe
id
identical(df[1,],df[2,]) is FALSE because of the row names. all( == ) is just a
work-around that I attempted.
Jorgen.
On Mar 11, 2013, at 02:53 , PIKAL Petr wrote:
>>
>>> df <- data.frame(x=c(1,1,NA,NA), y=c(2,2,7,7))
>>> identical(df[1,],df[2,])
>> [1] FALSE
>>> all(df[1,]==df[2,])
>> [1] TRU
Hi
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of jeharmse
> Sent: Friday, March 08, 2013 7:41 PM
> To: r-help@r-project.org
> Subject: Re: [R] Re move row.names column in dataframe
>
>
>
... the row.names will not interfere with any merging operation ...
Row names do not interfere with merge, but they cause other problems. In the
example, I want to test whether rows have the same entries (in some or all
columns). identical fails because of the row names, and all( == ) can fail
if
ubject: [R] Re move row.names column in dataframe
Hello,
aa<-c(1,1,2,2,3,3,4,4,5,5,6,6)
bb<-c(56,56,33,33,53,53,20,20,63,63,9,9)
cc<-data.frame(aa,bb)
uniquedf <- unique(cc)
View(uniquedf)
Why does the column "row.names" appear in the new dataframe and how do I
get
rid of
Hello,
aa<-c(1,1,2,2,3,3,4,4,5,5,6,6)
bb<-c(56,56,33,33,53,53,20,20,63,63,9,9)
cc<-data.frame(aa,bb)
uniquedf <- unique(cc)
View(uniquedf)
Why does the column "row.names" appear in the new dataframe and how do I get
rid of it.
"uniquedf$row.names <- NULL" does not seem to work.
For what I'
tonyxv wrote:
>
>
> Hello,
>
> aa<-c(1,1,2,2,3,3,4,4,5,5,6,6)
> bb<-c(56,56,33,33,53,53,20,20,63,63,9,9)
> cc<-data.frame(aa,bb)
> uniquedf <- unique(cc)
> View(uniquedf)
>
>
> Why does the column "row.names" appear in the new dataframe and how do I
> get rid of it.
>
> "uniquedf$row.nam
11 matches
Mail list logo
