Dear all,
I apologize if my question is quite simple.
I have a dataset (20 columns & 1000 rows) which
some of columns have the same value and the others
have different values.
Here are some piece of my dataset:
obj <- cbind(c(1,1,1,4,0,0,1,4,-1),
c(0,1,1,4,1,0,1,4,-1),
c(1,1,1,4,2,0,1,4,-1),
c(1,1,1,4,3,0,1,4,-1),
c(1,1,1,4,6,0,1,5,-1),
c(1,1,1,4,6,0,1,6,-1),
c(1,1,1,4,6,0,1,7,-1),
c(1,1,1,4,6,0,1,8,-1))
obj.tr <- t(obj)
obj.tr> obj.tr
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
[1,] 1 1 1 4 0 0 1 4 -1
[2,] 0 1 1 4 1 0 1 4 -1
[3,] 1 1 1 4 2 0 1 4 -1
[4,] 1 1 1 4 3 0 1 4 -1
[5,] 1 1 1 4 6 0 1 5 -1
[6,] 1 1 1 4 6 0 1 6 -1
[7,] 1 1 1 4 6 0 1 7 -1
[8,] 1 1 1 4 6 0 1 8 -1>
How can I do to check columns 2,3,4,6,7 and 9 have
the same value, and columns 1,5 and 8 have different values.
Best, Muhammad Subianto
On 8/24/06, Muhammad Subianto <msubianto at gmail.com> wrote:> I have a dataset (20 columns & 1000 rows) which > some of columns have the same value and the others > have different values. > Here are some piece of my dataset: > obj <- cbind(c(1,1,1,4,0,0,1,4,-1), > c(0,1,1,4,1,0,1,4,-1), > c(1,1,1,4,2,0,1,4,-1), > c(1,1,1,4,3,0,1,4,-1), > c(1,1,1,4,6,0,1,5,-1), > c(1,1,1,4,6,0,1,6,-1), > c(1,1,1,4,6,0,1,7,-1), > c(1,1,1,4,6,0,1,8,-1)) > obj.tr <- t(obj) > obj.tr > > obj.tr > [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] > [1,] 1 1 1 4 0 0 1 4 -1 > [2,] 0 1 1 4 1 0 1 4 -1 > [3,] 1 1 1 4 2 0 1 4 -1 > [4,] 1 1 1 4 3 0 1 4 -1 > [5,] 1 1 1 4 6 0 1 5 -1 > [6,] 1 1 1 4 6 0 1 6 -1 > [7,] 1 1 1 4 6 0 1 7 -1 > [8,] 1 1 1 4 6 0 1 8 -1 > > > > How can I do to check columns 2,3,4,6,7 and 9 have > the same value, and columns 1,5 and 8 have different values.Just try all(obj.tr[,2]==obj.tr[1,2]) and so on for the other columns. See ? all. Paul
--- Muhammad Subianto <msubianto at gmail.com> wrote:> Dear all, > I apologize if my question is quite simple. > I have a dataset (20 columns & 1000 rows) which > some of columns have the same value and the others > have different values. > Here are some piece of my dataset: > obj <- cbind(c(1,1,1,4,0,0,1,4,-1), > c(0,1,1,4,1,0,1,4,-1), > c(1,1,1,4,2,0,1,4,-1), > c(1,1,1,4,3,0,1,4,-1), > c(1,1,1,4,6,0,1,5,-1), > c(1,1,1,4,6,0,1,6,-1), > c(1,1,1,4,6,0,1,7,-1), > c(1,1,1,4,6,0,1,8,-1)) > obj.tr <- t(obj) > obj.tr > > obj.tr > [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] > [1,] 1 1 1 4 0 0 1 4 -1 > [2,] 0 1 1 4 1 0 1 4 -1 > [3,] 1 1 1 4 2 0 1 4 -1 > [4,] 1 1 1 4 3 0 1 4 -1 > [5,] 1 1 1 4 6 0 1 5 -1 > [6,] 1 1 1 4 6 0 1 6 -1 > [7,] 1 1 1 4 6 0 1 7 -1 > [8,] 1 1 1 4 6 0 1 8 -1 > > > > How can I do to check columns 2,3,4,6,7 and 9 have > the same value, and columns 1,5 and 8 have different > values. > > Best, Muhammad SubiantoThere has to be a better way but this will let you check visually since you only have 20 columns for(i in 1:8) { tt <-table(obj.tr[,i]) print( i) print (tt) }
Try sd(obj.tr) which will give a vector of standard deviations, one per column. A column's entry will be zero if and only if all values in the column are the same. On 8/24/06, Muhammad Subianto <msubianto at gmail.com> wrote:> Dear all, > I apologize if my question is quite simple. > I have a dataset (20 columns & 1000 rows) which > some of columns have the same value and the others > have different values. > Here are some piece of my dataset: > obj <- cbind(c(1,1,1,4,0,0,1,4,-1), > c(0,1,1,4,1,0,1,4,-1), > c(1,1,1,4,2,0,1,4,-1), > c(1,1,1,4,3,0,1,4,-1), > c(1,1,1,4,6,0,1,5,-1), > c(1,1,1,4,6,0,1,6,-1), > c(1,1,1,4,6,0,1,7,-1), > c(1,1,1,4,6,0,1,8,-1)) > obj.tr <- t(obj) > obj.tr > > obj.tr > [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] > [1,] 1 1 1 4 0 0 1 4 -1 > [2,] 0 1 1 4 1 0 1 4 -1 > [3,] 1 1 1 4 2 0 1 4 -1 > [4,] 1 1 1 4 3 0 1 4 -1 > [5,] 1 1 1 4 6 0 1 5 -1 > [6,] 1 1 1 4 6 0 1 6 -1 > [7,] 1 1 1 4 6 0 1 7 -1 > [8,] 1 1 1 4 6 0 1 8 -1 > > > > How can I do to check columns 2,3,4,6,7 and 9 have > the same value, and columns 1,5 and 8 have different values. > > Best, Muhammad Subianto > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >
As a minor footnote to both of these, I would add that both assume
that all the columns of the dataset are numeric. It doesn't cost much
to generalize it to cover any matrix structure, of any mode:
constantColmuns <- function(Xmat)
which(apply(Xmat, 2, function(z) length(unique(z)) == 1))
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Berton
Gunter> Sent: Friday, 25 August 2006 9:37 AM
> To: 'Gabor Grothendieck'; 'Muhammad Subianto'
> Cc: r-help at stat.math.ethz.ch
> Subject: Re: [R] Check values in colums matrix
>
> Absolutely. But do note that if the values in obj are the product of
> numerical computations then columns of equal values may turn out to be
only> **nearly** equal and so the sd may turn out to be **nearly** 0 and not
> exactly 0. This is a standard issue in numerical computation, of
course, and> has been commented on in this list at least dozens of times, but it's
still> a gotcha for the unwary (so now dozens +1).
>
> -- Bert Gunter
> Genentech Non-Clinical Statistics
> South San Francisco, CA
>
>
>
> > -----Original Message-----
> > From: r-help-bounces at stat.math.ethz.ch
> > [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Gabor
> > Grothendieck
> > Sent: Thursday, August 24, 2006 4:28 PM
> > To: Muhammad Subianto
> > Cc: r-help at stat.math.ethz.ch
> > Subject: Re: [R] Check values in colums matrix
> >
> > Try sd(obj.tr) which will give a vector of standard
> > deviations, one per column.
> > A column's entry will be zero if and only if all values in the
column> > are the same.
> >
> > On 8/24/06, Muhammad Subianto <msubianto at gmail.com> wrote:
> > > Dear all,
> > > I apologize if my question is quite simple.
> > > I have a dataset (20 columns & 1000 rows) which
> > > some of columns have the same value and the others
> > > have different values.
> > > Here are some piece of my dataset:
> > > obj <- cbind(c(1,1,1,4,0,0,1,4,-1),
> > > c(0,1,1,4,1,0,1,4,-1),
> > > c(1,1,1,4,2,0,1,4,-1),
> > > c(1,1,1,4,3,0,1,4,-1),
> > > c(1,1,1,4,6,0,1,5,-1),
> > > c(1,1,1,4,6,0,1,6,-1),
> > > c(1,1,1,4,6,0,1,7,-1),
> > > c(1,1,1,4,6,0,1,8,-1))
> > > obj.tr <- t(obj)
> > > obj.tr
> > > > obj.tr
> > > [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
> > > [1,] 1 1 1 4 0 0 1 4 -1
> > > [2,] 0 1 1 4 1 0 1 4 -1
> > > [3,] 1 1 1 4 2 0 1 4 -1
> > > [4,] 1 1 1 4 3 0 1 4 -1
> > > [5,] 1 1 1 4 6 0 1 5 -1
> > > [6,] 1 1 1 4 6 0 1 6 -1
> > > [7,] 1 1 1 4 6 0 1 7 -1
> > > [8,] 1 1 1 4 6 0 1 8 -1
> > > >
> > >
> > > How can I do to check columns 2,3,4,6,7 and 9 have
> > > the same value, and columns 1,5 and 8 have different values.
> > >
> > > Best, Muhammad Subianto
Dear all, I would like to thank everybody who replied for their useful suggestions. Maybe, I am going through the book statistics to teach (fresh) myself. Wish you have a nice weekend. Regards, Muhammad Subianto On this day 24/08/2006 18:59, Muhammad Subianto wrote:> Dear all, > I apologize if my question is quite simple. > I have a dataset (20 columns & 1000 rows) which > some of columns have the same value and the others > have different values. > Here are some piece of my dataset: > obj <- cbind(c(1,1,1,4,0,0,1,4,-1), > c(0,1,1,4,1,0,1,4,-1), > c(1,1,1,4,2,0,1,4,-1), > c(1,1,1,4,3,0,1,4,-1), > c(1,1,1,4,6,0,1,5,-1), > c(1,1,1,4,6,0,1,6,-1), > c(1,1,1,4,6,0,1,7,-1), > c(1,1,1,4,6,0,1,8,-1)) > obj.tr <- t(obj) > obj.tr >> obj.tr > [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] > [1,] 1 1 1 4 0 0 1 4 -1 > [2,] 0 1 1 4 1 0 1 4 -1 > [3,] 1 1 1 4 2 0 1 4 -1 > [4,] 1 1 1 4 3 0 1 4 -1 > [5,] 1 1 1 4 6 0 1 5 -1 > [6,] 1 1 1 4 6 0 1 6 -1 > [7,] 1 1 1 4 6 0 1 7 -1 > [8,] 1 1 1 4 6 0 1 8 -1 > > How can I do to check columns 2,3,4,6,7 and 9 have > the same value, and columns 1,5 and 8 have different values. > > Best, Muhammad Subianto > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >