extracting rows of a dataframe
Hi or maybe x <- as.numeric(a[2,-1]) can suit to your needs. Petr
On 2 Dec 2005 at 17:14, Berwin A Turlach wrote:
From: Berwin A Turlach <berwin at maths.uwa.edu.au> Date sent: Fri, 2 Dec 2005 17:14:42 +0800 To: Robin Hankin <r.hankin at noc.soton.ac.uk> Copies to: RHelp <r-help at stat.math.ethz.ch> Subject: Re: [R] extracting rows of a dataframe Send reply to: berwin at maths.uwa.edu.au <mailto:r-help-request at stat.math.ethz.ch?subject=unsubscribe> <mailto:r-help-request at stat.math.ethz.ch?subject=subscribe>
"RH" == Robin Hankin <r.hankin at noc.soton.ac.uk> writes:
RH> Three questions:
RH> (1) why is as.vector(a[2,-1]) not a vector?
Did you read the help file of as.vector() ?
a <- data.frame(male=c(T,T,F),mass=c(1,4,3),height=c(4,3,2)) a
male mass height 1 TRUE 1 4 2 TRUE 4 3 3 FALSE 3 2
x <- as.vector(a[2,-1]) mode(x)
[1] "list"
str(x)
`data.frame': 1 obs. of 2 variables: $ mass : num 4 $ height: num 3 Clearly you want:
x <- as.vector(a[2,-1], mode="numeric") str(x)
num [1:2] 4 3
x
[1] 4 3
RH> (2) How come setting names to NULL gives me bad weirdness? >
names(x) <- NULL > str(x) `data.frame': 1 obs. of 2 variables:
$ : num 4
$ : num 3
x
structure("4", class = "AsIs") structure("3", class = "AsIs")
2 4 3
With your "names(x)<-NULL" command you are wiping out the names of the
variables in your data frame. Looking at print.data.frame(), the
answer to the so-called weirdness can presumably be found in
format.data.frame().
RH> (3) Can I structure my dataframe in a better way, so that RH>
this problem does not occur?
Not really, it's more a question of the appropriate use of
as.vector(). :-))
Cheers,
Berwin
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