[R] by gives no results, gives warning that data are non-numeric, but the data appears to be numeric.

William Dunlap wdunlap at tibco.com
Mon Dec 28 06:54:50 CET 2015


by(dataFrame, groupId, FUN) applies FUN a bunch of data.frames (row subsets
of the dataFrame input).  mean() returns NA for data.frames.  You could use
FUN=colMeans if you wanted column means or FUN=function(x)mean(colMeans(x))
or FUN=function(x)mean(unlist(x)) if you wanted some version of a grand mean
over all the columns.

If you want column means, you may find aggregate() more suited to the job,
as it
applies FUN to each column in each row subset of the data and returns a
data.frame
instead of a list of outputs of FUN.
  > aggregate(mtcars[,3:5], mtcars[,2,drop=FALSE], mean)
    cyl     disp        hp     drat
  1   4 105.1364  82.63636 4.070909
  2   6 183.3143 122.28571 3.585714
  3   8 353.1000 209.21429 3.229286



Bill Dunlap
TIBCO Software
wdunlap tibco.com

On Sun, Dec 27, 2015 at 6:55 PM, John Sorkin <jsorkin at grecc.umaryland.edu>
wrote:

> When I run by, I get an error message and no results. Any help in
> understanding what is wrong would be appreciated.
>
> Error message:
> Warning messages:
> 1: In mean.default(data[x, , drop = FALSE], ...) :
>   argument is not numeric or logical: returning NA
> 2: In mean.default(data[x, , drop = FALSE], ...) :
>   argument is not numeric or logical: returning NA
>
>
> Results:
> Arm: MUFA
> [1] NA
>
> -----------------------------------------------------------------------------------------------------------------------
> Arm: PUFA
> [1] NA
>
> Code:
> by(hold,Arm,mean,na.rm=TRUE)
>
> I don't understand why I am getting the error message, and why I am not
> getting any results. I don't believe my data are non-numeric.
>
> BY str works fine and confirms that the data are numeric
> > by(hold,Arm,str)
> 'data.frame':   23 obs. of  3 variables:
>  $ Wtscr: num  97.2 103.9 58.2 130.9 135 ...
>  $ Wt0  : num  96.2 106.1 56.7 127.4 133.1 ...
>  $ Wt6  : num  93.8 101.7 55.5 127.6 130.9 ...
> 'data.frame':   16 obs. of  3 variables:
>  $ Wtscr: num  120.2 104.6 100.1 74.8 112.6 ...
>  $ Wt0  : num  117.2 105.3 99.5 75.7 110.7 ...
>  $ Wt6  : num  114.6 104.8 84.5 77.7 107.4 ...
>  Here is a listing of my data:
> > hold
>    Wtscr   Wt0    Wt6
> 1  120.2 117.2 114.60
> 2  104.6 105.3 104.80
> 3   97.2  96.2  93.80
> 4  103.9 106.1 101.70
> 5   58.2  56.7  55.50
> 6  130.9 127.4 127.60
> 7  135.0 133.1 130.90
> 8  100.1  99.5  84.50
> 9  130.3 115.3 115.80
> 10 150.5 148.7 133.40
> 11  74.8  75.7  77.70
> 12 112.6 110.7 107.40
> 13  90.0  91.0  83.40
> 14 139.1 138.5 126.70
> 15  99.1  96.4  95.70
> 16 108.3 107.5 109.30
> 17  75.1  72.9  72.20
> 18  97.5 102.1  98.50
> 19 202.2  90.1  90.60
> 20  91.7  89.4  93.40
> 21 102.1 102.2 100.80
> 22 116.9 118.9 118.00
> 23  94.6  95.3  90.30
> 24 122.2 117.0 117.00
> 25 105.6 103.3 103.60
> 26  96.9  96.8  98.80
> 27 102.9 100.3  89.00
> 28 115.8 118.5 117.30
> 29  95.7  96.2  95.40
> 30  88.2  86.9  88.30
> 31 108.7 108.8 108.80
> 32  89.2  88.6  81.20
> 33  86.8  86.5  82.70
> 34 135.5 130.1 125.40
> 35 112.5 113.9 111.45
> 36 111.0 105.3 109.50
> 37 103.4 100.5  95.50
> 38 117.6 117.4 101.40
> 39 116.7 118.5 101.80
>
> The INDEX is clearly a factor:
> > Arm
>  [1] PUFA PUFA MUFA MUFA MUFA MUFA MUFA PUFA MUFA MUFA PUFA PUFA PUFA MUFA
> MUFA PUFA PUFA PUFA MUFA MUFA MUFA MUFA MUFA PUFA MUFA MUFA PUFA MUFA PUFA
> MUFA PUFA
> [32] MUFA MUFA MUFA MUFA MUFA PUFA PUFA PUFA
> Levels: MUFA PUFA
>
> The data and the index have the same length:
> > cbind(hold,Arm)
>    Wtscr   Wt0    Wt6  Arm
> 1  120.2 117.2 114.60 PUFA
> 2  104.6 105.3 104.80 PUFA
> 3   97.2  96.2  93.80 MUFA
> 4  103.9 106.1 101.70 MUFA
> 5   58.2  56.7  55.50 MUFA
> 6  130.9 127.4 127.60 MUFA
> 7  135.0 133.1 130.90 MUFA
> 8  100.1  99.5  84.50 PUFA
> 9  130.3 115.3 115.80 MUFA
> 10 150.5 148.7 133.40 MUFA
> 11  74.8  75.7  77.70 PUFA
> 12 112.6 110.7 107.40 PUFA
> 13  90.0  91.0  83.40 PUFA
> 14 139.1 138.5 126.70 MUFA
> 15  99.1  96.4  95.70 MUFA
> 16 108.3 107.5 109.30 PUFA
> 17  75.1  72.9  72.20 PUFA
> 18  97.5 102.1  98.50 PUFA
> 19 202.2  90.1  90.60 MUFA
> 20  91.7  89.4  93.40 MUFA
> 21 102.1 102.2 100.80 MUFA
> 22 116.9 118.9 118.00 MUFA
> 23  94.6  95.3  90.30 MUFA
> 24 122.2 117.0 117.00 PUFA
> 25 105.6 103.3 103.60 MUFA
> 26  96.9  96.8  98.80 MUFA
> 27 102.9 100.3  89.00 PUFA
> 28 115.8 118.5 117.30 MUFA
> 29  95.7  96.2  95.40 PUFA
> 30  88.2  86.9  88.30 MUFA
> 31 108.7 108.8 108.80 PUFA
> 32  89.2  88.6  81.20 MUFA
> 33  86.8  86.5  82.70 MUFA
> 34 135.5 130.1 125.40 MUFA
> 35 112.5 113.9 111.45 MUFA
> 36 111.0 105.3 109.50 MUFA
> 37 103.4 100.5  95.50 PUFA
> 38 117.6 117.4 101.40 PUFA
> 39 116.7 118.5 101.80 PUFA
>
> But the by function does not work!
> > by(hold,Arm,mean,na.rm=TRUE)
> Arm: MUFA
> [1] NA
>
> -----------------------------------------------------------------------------------------------------------------------
> Arm: PUFA
> [1] NA
> Warning messages:
> 1: In mean.default(data[x, , drop = FALSE], ...) :
>   argument is not numeric or logical: returning NA
> 2: In mean.default(data[x, , drop = FALSE], ...) :
>   argument is not numeric or logical: returning NA
>
>
> Perhaps this is a hint, print does not give two separate group:
> > by(hold,Arm,print)
>    Wtscr   Wt0    Wt6
> 3   97.2  96.2  93.80
> 4  103.9 106.1 101.70
> 5   58.2  56.7  55.50
> 6  130.9 127.4 127.60
> 7  135.0 133.1 130.90
> 9  130.3 115.3 115.80
> 10 150.5 148.7 133.40
> 14 139.1 138.5 126.70
> 15  99.1  96.4  95.70
> 19 202.2  90.1  90.60
> 20  91.7  89.4  93.40
> 21 102.1 102.2 100.80
> 22 116.9 118.9 118.00
> 23  94.6  95.3  90.30
> 25 105.6 103.3 103.60
> 26  96.9  96.8  98.80
> 28 115.8 118.5 117.30
> 30  88.2  86.9  88.30
> 32  89.2  88.6  81.20
> 33  86.8  86.5  82.70
> 34 135.5 130.1 125.40
> 35 112.5 113.9 111.45
> 36 111.0 105.3 109.50
>    Wtscr   Wt0   Wt6
> 1  120.2 117.2 114.6
> 2  104.6 105.3 104.8
> 8  100.1  99.5  84.5
> 11  74.8  75.7  77.7
> 12 112.6 110.7 107.4
> 13  90.0  91.0  83.4
> 16 108.3 107.5 109.3
> 17  75.1  72.9  72.2
> 18  97.5 102.1  98.5
> 24 122.2 117.0 117.0
> 27 102.9 100.3  89.0
> 29  95.7  96.2  95.4
> 31 108.7 108.8 108.8
> 37 103.4 100.5  95.5
> 38 117.6 117.4 101.4
> 39 116.7 118.5 101.8
> Arm: MUFA
>    Wtscr   Wt0    Wt6
> 3   97.2  96.2  93.80
> 4  103.9 106.1 101.70
> 5   58.2  56.7  55.50
> 6  130.9 127.4 127.60
> 7  135.0 133.1 130.90
> 9  130.3 115.3 115.80
> 10 150.5 148.7 133.40
> 14 139.1 138.5 126.70
> 15  99.1  96.4  95.70
> 19 202.2  90.1  90.60
> 20  91.7  89.4  93.40
> 21 102.1 102.2 100.80
> 22 116.9 118.9 118.00
> 23  94.6  95.3  90.30
> 25 105.6 103.3 103.60
> 26  96.9  96.8  98.80
> 28 115.8 118.5 117.30
> 30  88.2  86.9  88.30
> 32  89.2  88.6  81.20
> 33  86.8  86.5  82.70
> 34 135.5 130.1 125.40
> 35 112.5 113.9 111.45
> 36 111.0 105.3 109.50
>
> -----------------------------------------------------------------------------------------------------------------------
> Arm: PUFA
>    Wtscr   Wt0   Wt6
> 1  120.2 117.2 114.6
> 2  104.6 105.3 104.8
> 8  100.1  99.5  84.5
> 11  74.8  75.7  77.7
> 12 112.6 110.7 107.4
> 13  90.0  91.0  83.4
> 16 108.3 107.5 109.3
> 17  75.1  72.9  72.2
> 18  97.5 102.1  98.5
> 24 122.2 117.0 117.0
> 27 102.9 100.3  89.0
> 29  95.7  96.2  95.4
> 31 108.7 108.8 108.8
> 37 103.4 100.5  95.5
> 38 117.6 117.4 101.4
> 39 116.7 118.5 101.8
>
> But summary works as expected, giving two groups of results!
> > by(hold,Arm,summary)
> Arm: MUFA
>      Wtscr             Wt0             Wt6
>  Min.   : 58.20   Min.   : 56.7   Min.   : 55.5
>  1st Qu.: 95.75   1st Qu.: 92.7   1st Qu.: 92.0
>  Median :105.60   Median :103.3   Median :101.7
>  Mean   :112.75   Mean   :106.3   Mean   :104.0
>  3rd Qu.:130.60   3rd Qu.:118.7   3rd Qu.:117.7
>  Max.   :202.20   Max.   :148.7   Max.   :133.4
>
> -----------------------------------------------------------------------------------------------------------------------
> Arm: PUFA
>      Wtscr             Wt0              Wt6
>  Min.   : 74.80   Min.   : 72.90   Min.   : 72.20
>  1st Qu.: 97.05   1st Qu.: 98.67   1st Qu.: 87.88
>  Median :104.00   Median :103.70   Median : 99.95
>  Mean   :103.15   Mean   :102.54   Mean   : 97.58
>  3rd Qu.:113.62   3rd Qu.:112.28   3rd Qu.:107.75
>  Max.   :122.20   Max.   :118.50   Max.   :117.00
>
> BY also shows that there are no NAs in the data, and the BY works properly.
> > by(hold,Arm,is.na)
> Arm: MUFA
>    Wtscr
>
> John David Sorkin M.D., Ph.D.
> Professor of Medicine
> Chief, Biostatistics and Informatics
> University of Maryland School of Medicine Division of Gerontology and
> Geriatric Medicine
> Baltimore VA Medical Center
> 10 North Greene Street
> GRECC (BT/18/GR)
> Baltimore, MD 21201-1524
> (Phone) 410-605-7119
> (Fax) 410-605-7913 (Please call phone number above prior to faxing)
>
> Confidentiality Statement:
> This email message, including any attachments, is for ...{{dropped:16}}



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