On Nov 24, 2012, at 4:58 AM, frespider wrote:
HI A.k,
I need one more question, if you can answer it please
M <- matrix(sample(1:8000),nrow=100)
colnames(M)<- paste("Col",1:ncol(M),sep="")
apply(M,2,function(x) c(Min=min(x),"1st Qu" =quantile(x,
0.25,names=FALSE),
6 59 67 47 52 66 65 69 66
#or
rowDiffs(colRanges(x))
A.K.
- Original Message -
From: frespider
To: r-help@r-project.org
Cc:
Sent: Saturday, November 24, 2012 7:58 AM
Subject: Re: [R] Summary statistics for matrix columns
HI A.k,
I need one more question, if y
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf
> Of frespider
> Sent: Saturday, November 24, 2012 4:58 AM
> To: r-help@r-project.org
> Subject: Re: [R] Summary statistics for matrix columns
>
>
>
> HI A.k,
>
> I need
ystem elapsed
# 0.968 0.000 0.956
A.K.
____
From: Fares Said <[hidden email]>
To: arun <[hidden email]>
Cc: Pete Brecknock <[hidden email]>; R help <[hidden email]>
Sent: Friday, November 23, 2012 10:23 AM
Subject: R
mes(x)<- paste("Col",1:ncol(x1),sep="")
system.time(fun1(x1))
# user system elapsed
# 0.968 0.000 0.956
A.K.
________________
From: Fares Said
To: arun
Cc: Pete Brecknock ; R help
Sent: Friday, November 23, 2012 10:23 AM
Subject: Re: [R] Summary statistics for matrix columns
Message -
From: Pete Brecknock
To: r-help@r-project.org
Cc:
Sent: Friday, November 23, 2012 8:42 AM
Subject: Re: [R] Summary statistics for matrix columns
frespider wrote
> Hi,
>
> it is possible. but don't you think it will slow the code if you convert
> to data.fr
quot; = quantile(x,0.75,names=FALSE),
> IQR=IQR(x),
> Max = max(x))) })
> # user system elapsed
> # 0.384 0.000 0.384
>
>
> A.K.
>
>
>
> ----- Original Message -
> From: Pete Brecknock
> To: r
frespider wrote
> Hi,
>
> it is possible. but don't you think it will slow the code if you convert
> to data.frame?
>
> Thanks
>
> Date: Thu, 22 Nov 2012 18:31:35 -0800
> From:
> ml-node+s789695n4650500h51@.nabble
> To:
> frespider@
> Subject: RE: Summary statistics for matrix columns
>
Hi,
it is possible. but don't you think it will slow the code if you convert to
data.frame?
Thanks
Date: Thu, 22 Nov 2012 18:31:35 -0800
From: ml-node+s789695n4650500...@n4.nabble.com
To: frespi...@hotmail.com
Subject: RE: Summary statistics for matrix columns
HI,
Is it possible t
HI,
but Sd and IQR not in the order I want ,
Thanks
Date: Thu, 22 Nov 2012 18:08:57 -0800
From: ml-node+s789695n4650496...@n4.nabble.com
To: frespi...@hotmail.com
Subject: RE: Summary statistics for matrix columns
Hi,
How about this:
res<-do.call(cbind,lapply(split(x,col(x)),funct
There is still missing some statistics,
like sd and IQR and I prefer the output to be matrix
Thanks
Date: Thu, 22 Nov 2012 18:00:20 -0800
From: ml-node+s789695n4650493...@n4.nabble.com
To: frespi...@hotmail.com
Subject: Re: Summary statistics for matrix columns
HI,
You could try t
Hi peter,
but this doesn't give me them in the order I want.
Is there a better approach
Thanks
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_
Hi,
is there a way I can calculate a summary statistics for a columns matrix
let say we have this matrix
x <- matrix(sample(1:8000),nrow=100)
colnames(x)<- paste("Col",1:ncol(x),sep="")
if I used summary
summary(x)
i get the output for each column but I need the output to be in matrix with
r
I also don't like to use split function because I have like around 800 columns
Date: Thu, 22 Nov 2012 18:08:54 -0800
From: ml-node+s789695n4650496...@n4.nabble.com
To: frespi...@hotmail.com
Subject: RE: Summary statistics for matrix columns
Hi,
How about this:
res<-do.call(cbind,lapply(split(
frespider wrote
> Hi,
>
> is there a way I can calculate a summary statistics for a columns matrix
> let say we have this matrix
> x <- matrix(sample(1:8000),nrow=100)
> colnames(x)<- paste("Col",1:ncol(x),sep="")
>
> if I used summary
> summary(x)
>
> i get the output for each column but I
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