Thank you for all the helpful answers.
Tunga
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide
Thank you for all the helpful answers.
Tunga
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide
ons
> Sent: Monday, February 27, 2017 1:30 PM
> To: Tunga Kantarcı <tungakanta...@gmail.com>
> Cc: R-help <r-help@r-project.org>
> Subject: Re: [R] Selecting rows and columns of a data frame using relational
> operators
>
> The answer is simple
>
> dat
The answer is simple
data[,4] == 1 produces a logical vector of length nrow(data)
and the subsetting mechanism for data frames in R needs a vector of the same
length
as the data frame has rows.
data[1:20,4] == 1
produces a data frame of length 20, and if this is not the length of data.
So R
Hi Tunga,
The function subset() is probably what you are looking for. You might also
want to look at a tutorial to understand the R syntax.
In addition, calling your data data is not a good idea because of the name
clash with the function data().
Hope this helps,
Ulrik
On Mon, 27 Feb 2017 at
Consider a data frame named data. data contains 4 columns and 1000
rows. Say the aim is to bring together columns 1, 2, and 4, if the
values in column 4 is equal to 1. We could use the syntax
data(data[,4] == 1, c(1 2 4))
for this purpose. Suppose now that the aim is to bring together
columns 1,
6 matches
Mail list logo
