t; From: arun [mailto:smartpink...@yahoo.com]
>> Sent: Thursday, May 01, 2014 6:24 AM
>> To: R. Help
>> Cc: Waichler, Scott R
>> Subject: Re: [R] Using apply with more than one matrix
>>
>> Hi,
>> Sorry, a typo in the previous function:
>> -
and how I can bring in the operation on a1. This doesn't
> work:
>
> evaluate <- function(idx) {
> ind.not.na <- which(!is.na(a1[idx,])) ])) # doesn't work; improper
> indexing for a1
> if(length(ind.not.na) > 0) {
> return(condition1*(a1[idx,ind.
> > Sapply or mapply may work, I haven't used these much and will try to
> learn better how to use them. Your use of sapply looks good; but I'm
> trying to understand if and how I can bring in the operation on a1. This
> doesn't work:
> >
> > evaluate <- function(idx) {
> > ind.not.na <- which(!
ing
for a1
if(length(ind.not.na) > 0) {
return(condition1*(a1[idx,ind.not.na[1]] + m2[idx])) # doesn't work;
improper indexing for a1
}
}
vec <- sapply(seq(length(m2)), evaluate)
Scott Waichler
> -Original Message-----
> From: David Winsemius [mailto:dwinsem...@comcas
] + m2[idx])) # doesn't work;
improper indexing for a1
}
}
vec <- sapply(seq(length(m2)), evaluate)
Scott Waichler
> -Original Message-
> From: David Winsemius [mailto:dwinsem...@comcast.net]
> Sent: Wednesday, April 30, 2014 8:46 PM
> To: Waichler, Scott R
> Cc: Bert Gunt
Scott Waichler
>
>> -----Original Message-
>> From: David Winsemius [mailto:dwinsem...@comcast.net]
>> Sent: Wednesday, April 30, 2014 8:46 PM
>> To: Waichler, Scott R
>> Cc: Bert Gunter; r-help@r-project.org
>> Subject: Re: [R] Using apply with more th
Sent: Wednesday, April 30, 2014 8:46 PM
> To: Waichler, Scott R
> Cc: Bert Gunter; r-help@r-project.org
> Subject: Re: [R] Using apply with more than one matrix
>
>
> On Apr 30, 2014, at 6:03 PM, Waichler, Scott R wrote:
>
> > Here is a working example with no random parts.
On Apr 30, 2014, at 6:03 PM, Waichler, Scott R wrote:
> Here is a working example with no random parts. Thanks for your patience and
> if I'm still off the mark with my presentation I'll drop the matter.
>
> v <- c(NA, 1.5, NA, NA,
> NA, 1.1, 0.5, NA,
> NA, 1.3, 0.4, 0.9)
> a1 <-
Try
?mapply
Description:
'mapply' is a multivariate version of 'sapply'. 'mapply' applies
'FUN' to the first elements of each ... argument, the second
elements, the third elements, and so on. Arguments are recycled
if necessary.
Rich
On Wed, Apr 30, 2014 at 9:03 PM, Waich
Here is a working example with no random parts. Thanks for your patience and
if I'm still off the mark with my presentation I'll drop the matter.
v <- c(NA, 1.5, NA, NA,
NA, 1.1, 0.5, NA,
NA, 1.3, 0.4, 0.9)
a1 <- array(v, dim=c(2,2,3))
m1 <- matrix(c(NA, 1.5, 2.1, NA), ncol=2, by
etter test might be to specify set.seed() to give a reproducible
example.
--
David.
>
> Scott Waichler
>
>
>
>> -Original Message-
>> From: Bert Gunter [mailto:gunter.ber...@gene.com]
>> Sent: Wednesday, April 30, 2014 12:18 PM
>> To: Waichl
n1[i,j] && length(ind.not.na) > 0) {
ans[i,j] <- a1[i,j,ind.not.na[1]] + m2[i,j]
}
}
}
Scott Waichler
> -Original Message-
> From: Bert Gunter [mailto:gunter.ber...@gene.com]
> Sent: Wednesday, April 30, 2014 12:18 PM
> To: Waichler, Scott R
> Cc: r-he
Scott:
Your problem specification is rather vague: What do you mean by "use"?
In general, matrices are merely vectors with a dim attribute, so if
you can do what you want with them as vectors, then that will work for
them as matrices. For example:
> m1<- matrix(1:6, nr=3)
> m2 <- matrix(11:16, n
Hi Scott,
You could set up a three-dimensional array and then use apply on the
desired dimension (MARGIN in apply language).
HTH!
Many thanks,
Ranjan
On Wed, 30 Apr 2014 17:54:48 + "Waichler, Scott R"
wrote:
> Hi,
>
> I want to apply a custom function to all the elements of one matrix.
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