; -Original Message-
>> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of
>Naresh
>> Gurbuxani
>> Sent: 25 July 2018 07:17
>> To: R-help@r-project.org
>> Subject: [R] Using apply function to merge list of data frames
>>
>> I ha
xpected results.
S Ellison
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Naresh
> Gurbuxani
> Sent: 25 July 2018 07:17
> To: R-help@r-project.org
> Subject: [R] Using apply function to merge list of data frames
>
> I have
> On 25 Jul 2018, at 08:17, Naresh Gurbuxani
> wrote:
>
> I have a list whose components are data frames. My goal is to construct a
> data frame by merging all the list components. Is it possible to achieve
> this using apply and without a for loop, as used below?
>
> Thanks,
> Naresh
>
Is this what you want:
> random <- expand.grid(R1 = 1:5, R2 = -(1:5))
> result <- cbind(F1 = 10, F2 = 100, random)
>
> result
F1 F2 R1 R2
1 10 100 1 -1
2 10 100 2 -1
3 10 100 3 -1
4 10 100 4 -1
5 10 100 5 -1
6 10 100 1 -2
7 10 100 2 -2
8 10 100 3 -2
9 10 100 4 -2
10 10 100
Hi all R-users,
I'm trying to using apply function to input a range of values into a
function I wrote.
I wrote a function with 4 information needed. I would like to make 2 of
them fixed and the other 2 random (but with specified values).
I would like to replicate the function 1 times.
I wa
On Fri, Oct 15, 2010 at 6:46 AM, David A. wrote:
>
> Thanks Dennis,
>
> I don't think it was a problem of not feeding in a function for rollapply(),
> because I was using mean() and my co.var() function in the FUN argument.
> The key part seems to be the transformation that zoo() does to the matr
atrix, the rollapply() function now
works fine.
Thanks again
David
Date: Fri, 15 Oct 2010 03:00:27 -0700
Subject: Re: [R] using apply function and storing output
From: djmu...@gmail.com
To: dasol...@hotmail.com
CC: r-help@r-project.org
Hi:
You need to give a function for rollapply() to
eated function...
>
> > xxx<-rollapply(ord_raw_filt.df,3,FUN=co.var,by=3)
> Error in UseMethod("rollapply") :
> no applicable method for 'rollapply' applied to an object of class
> "c('matrix', 'integer', 'numeric')
ed function...
> xxx<-rollapply(ord_raw_filt.df,3,FUN=co.var,by=3)
Error in UseMethod("rollapply") :
no applicable method for 'rollapply' applied to an object of class
"c('matrix', 'integer', 'numeric')"
Can you help me with the error?
one efficient way to do this, avoiding loops, is using the rowsum()
function, e.g.,
mat <- matrix(rnorm(1710*244), 1710, 244)
id <- rep(seq_len(570), each = 3)
means <- rowsum(mat, id, FALSE) / 3
Regarding the second part of your question, indeed a "gold" rule of
efficient R programming when
Hi:
Look into the rollmean() function in package zoo.
HTH,
Dennis
On Fri, Oct 15, 2010 at 12:34 AM, David A. wrote:
>
> Hi list,
>
> I have a 1710x244 matrix of numerical values and I would like to calculate
> the mean of every group of three consecutive values per column to obtain a
> new mat
Hi list,
I have a 1710x244 matrix of numerical values and I would like to calculate the
mean of every group of three consecutive values per column to obtain a new
matrix of 570x244. I could get it done using a for loop but how can I do that
using apply functions?
In addition to this, do I hav
Thanks a lot.
All the three approaches work for me!
On Sun, Jan 31, 2010 at 10:43 PM, hadley wickham wrote:
> On Sun, Jan 31, 2010 at 5:05 PM, Sunny Srivastava
> wrote:
> > Dear R-Helpers,
> > I have a data.frame (df) and the head of data.frame looks like
> >
> > ProbeUID ControlType Pr
On Sun, Jan 31, 2010 at 5:05 PM, Sunny Srivastava
wrote:
> Dear R-Helpers,
> I have a data.frame (df) and the head of data.frame looks like
>
> ProbeUID ControlType ProbeName GeneName SystematicName
> 1665 1577 0 pSysX_50_22_1 pSysX_50 pSysX_50
> 5422 5147
On Jan 31, 2010, at 6:05 PM, Sunny Srivastava wrote:
Dear R-Helpers,
I have a data.frame (df) and the head of data.frame looks like
ProbeUID ControlType ProbeName GeneName SystematicName
1665 1577 0 pSysX_50_22_1 pSysX_50 pSysX_50
5422 5147 0 pSysX_49
Dear R-Helpers,
I have a data.frame (df) and the head of data.frame looks like
ProbeUID ControlType ProbeName GeneName SystematicName
1665 1577 0 pSysX_50_22_1 pSysX_50 pSysX_50
5422 5147 0 pSysX_49_8_1 pSysX_49 pSysX_49
4042 3843 0 p
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