Hello,

I still don't understand, my code returns each imputation in a separate data.frame.

mydata <- split(Imputed, cumsum(c(0, diff(Imputed$Y) != 1)))
mydata[[1]]
#  X1 X2 Y
#1  1  0 1
#2  2  1 2
#3  1  0 3
#4  2  1 4
#5  1  1 5
#6  2  1 6
#7  1  0 7
#8  2  1 8


And mydata[[2]] will be the other imputation.

If this is not what you want, can you please post an example output mydata[[1]] from the database you have posted?

Rui Barradas

On 5/24/2018 4:14 PM, Ioanna Ioannou wrote:
Hello everyone,


Thank you for this. Nonetheless it is not exactly want i need.


I need mydata[[1]] to provide the values for all 3 variables (Y, X1 and X2) of 
the first imputation only. As it stands it returns the whole database.

Any ideas?


Best,

ioanna



________________________________
From: Bert Gunter <bgunter.4...@gmail.com>
Sent: 24 May 2018 16:04
To: Ioanna Ioannou
Cc: r-help@r-project.org
Subject: Re: [R] Manipulation of data.frame into an array

This is one of those instances where a less superficial knowledge of R's 
technical details comes in really handy.

What you need to do is convert the data frame to a single (numeric) vector for, 
e.g. a matrix() call. This can be easily done by noting that a data frame is 
also a list and using do.call():

## imp is the data frame:

do.call(c,imp)

  X11  X12  X13  X14  X15  X16  X17  X18  X19 X110 X111 X112 X113 X114
    1    2    1    2    1    2    1    2    1    2    1    2    1    2
X115 X116  X21  X22  X23  X24  X25  X26  X27  X28  X29 X210 X211 X212
    1    2    0    1    0    1    1    1    0    1    0    1    0    1
X213 X214 X215 X216   Y1   Y2   Y3   Y4   Y5   Y6   Y7   Y8   Y9  Y10
    1    1    0    1    1    2    3    4    5    6    7    8    1    2
  Y11  Y12  Y13  Y14  Y15  Y16
    3    4    5    6    7    8

So, e.g. for a 3 column matrix:

matrix(do.call(c,imp), ncol=3)
       [,1] [,2] [,3]
  [1,]    1    0    1
  [2,]    2    1    2
  [3,]    1    0    3
  [4,]    2    1    4
  [5,]    1    1    5
  [6,]    2    1    6
  [7,]    1    0    7
  [8,]    2    1    8
  [9,]    1    0    1
[10,]    2    1    2
[11,]    1    0    3
[12,]    2    1    4
[13,]    1    1    5
[14,]    2    1    6
[15,]    1    0    7
[16,]    2    1    8

Cheers,
Bert



Bert Gunter

"The trouble with having an open mind is that people keep coming along and sticking 
things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Thu, May 24, 2018 at 7:46 AM, Ioanna Ioannou 
<ii54...@msn.com<mailto:ii54...@msn.com>> wrote:
Hello everyone,


  I want to transform a data.frame into an array (lets call it mydata), where: 
mydata[[1]] is the first imputed dataset...and for each mydata[[d]], the first 
p columns are covariates X, and the last one is the outcome Y.


Lets assume a simple data.frame:


Imputed = data.frame( X1 = c(1,2,1,2,1,2,1,2, 1,2,1,2,1,2,1,2),

                                           X2 = c(0,1,0,1,1,1,0,1, 
0,1,0,1,1,1,0,1),

                                            Y   = 
c(1,2,3,4,5,6,7,8,1,2,3,4,5,6,7,8))

The first 8 have been obtained by the first imputation and the later 8 by the 
2nd.


Can you help me please?


Best,

ioanna

         [[alternative HTML version deleted]]

______________________________________________
R-help@r-project.org<mailto: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 commented, minimal, self-contained, reproducible code.


        [[alternative HTML version deleted]]

______________________________________________
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 commented, minimal, self-contained, reproducible code.


______________________________________________
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 commented, minimal, self-contained, reproducible code.

Reply via email to