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Simonas Kecorius

2013-May-15 09:46 UTC

[R] Error in colMeans with multiple column data.frame

Dear R users,

Here is my data:

"a1"    "a2"    "a3"    "a4"   
"a5"    "interval"
432    355    159    9304    9949    1
0    184    157    9182    10120    1
1295    2    0    8861    10410    1
0    100    572    9102    9836    1
0    170    95    8421    9044    1
0    170    2    8963    9261    1
0    723    380    8483    8923    2
0    184    111    8206    9373    2
0    539    223    8670    8714    2
0    341    4    8044    7977    2
432    403    412    6938    7755    2
0    218    395    7661    7898    2
432    67    428    7176    7957    3
0    0    47    7508    8160    3
0    67    382    6978    7811    3
0    0    47    8537    8486    3
0    605    698    8651    9421    3
432    1    0    8114    8923    3
0    204    193    8904    9324    4
432    1221    371    8997    9681    4
0    0    0    8454    8838    4
0    170    49    8232    8994    4
0    184    111    9251    10790    4
0    170    142    8227    9616    4
0    67    428    8147    8359    5
864    356    112    8570    8578    5
0    0    47    8285    8859    5
432    67    475    8326    8915    5
432    355    112    8379    9061    5
1296    513    52    8041    9023    5
0    369    221    8253    9262    6
432    402    412    8840    8704    6
0    184    111    9085    9718    6
0    170    2    8381    9335    6
432    34    285    8744    8999    6
0    355    159    8564    9387    6
863    526    114    8479    10050    7
432    374    194    8130    7840    7
0    355    159    7785    8728    7
432    271    714    9065    9168    7
432    67    428    8621    9906    7
0    639    795    8294    8697    7
432    185    204    9243    9206    8
0    388    303    8938    9789    8
0    756    571    9574    9090    8
432    67    522    8733    8931    8
864    205    286    7760    8340    8
0    170    95    8089    8597    8
432    34    284    8132    8702    9
0    100    666    7704    8686    9
432    526    114    7414    8370    9
0    170    142    8039    8385    9
0    606    698    8443    9366    9
432    67    428    9334    9000    9
0    184    111    8313    8312    10
432    696    303    8280    8597    10
0    0    0    8578    9124    10
0    170    2    7820    9355    10
0    0    0    7738    7975    10
0    184    157    8867    8843    10
432    34    191    7664    8629    11
0    0    94    8368    9230    11
432    403    506    8601    9095    11
0    0    0    9330    8670    11
0    341    50    8782    8562    11
0    0    0    7676    8191    11
432    355    253    7033    8274    12
2159    1214    1302    8068    8903    12
432    1901    1679    8230    9152    12
864    1567    1368    8813    8729    12
863    1382    1398    8329    9207    12
432    1282    779    8162    8644    12
2160    1811    2099    8465    7745    13
3456    394    444    8263    8833    13
432    843    1034    8195    8508    13
0    828    1066    7338    7591    13
863    743    509    8134    8734    13
2159    581    480    7325    8426    13
0    979    799    7999    8233    14
864    783    626    8337    9256    14
1727    2210    1680    7633    8735    14
1728    2427    3859    8248    8895    14
5616    3623    3227    7566    8268    14
4318    2887    2478    7520    8146    14

I read it from a file:

data<-read.table("data.txt", head=T, sep="\t")

When I try count column mean by interval:

newData <- do.call(rbind, tapply(data[1:5], data$interval, colMeans))


I get an error: Error in tapply(data[1:5], data$interval, colMeans) :
  arguments must have same length

Has anyone any clue what is wrong?
Thank you in advance.

-- 
Simonas Kecorius
**

	[[alternative HTML version deleted]]

Pascal Oettli

2013-May-15 10:16 UTC

head link

[R] Error in colMeans with multiple column data.frame

Hi,

I renamed your data.frame "df", as "data" is a built-in
function.

You can achieve what you are looking for with:

 > datf.mean <- with(datf, aggregate(datf[,-6], list(interval=interval), 
mean))

Advice:
Next time, use "dput" when you submit a data set to R-help.

Hope this helps,
Pascal



On 05/15/2013 06:46 PM, Simonas Kecorius wrote:> Dear R users,
>
> Here is my data:
>
> "a1"    "a2"    "a3"    "a4"   
"a5"    "interval"
> 432    355    159    9304    9949    1
> 0    184    157    9182    10120    1
> 1295    2    0    8861    10410    1
> 0    100    572    9102    9836    1
> 0    170    95    8421    9044    1
> 0    170    2    8963    9261    1
> 0    723    380    8483    8923    2
> 0    184    111    8206    9373    2
> 0    539    223    8670    8714    2
> 0    341    4    8044    7977    2
> 432    403    412    6938    7755    2
> 0    218    395    7661    7898    2
> 432    67    428    7176    7957    3
> 0    0    47    7508    8160    3
> 0    67    382    6978    7811    3
> 0    0    47    8537    8486    3
> 0    605    698    8651    9421    3
> 432    1    0    8114    8923    3
> 0    204    193    8904    9324    4
> 432    1221    371    8997    9681    4
> 0    0    0    8454    8838    4
> 0    170    49    8232    8994    4
> 0    184    111    9251    10790    4
> 0    170    142    8227    9616    4
> 0    67    428    8147    8359    5
> 864    356    112    8570    8578    5
> 0    0    47    8285    8859    5
> 432    67    475    8326    8915    5
> 432    355    112    8379    9061    5
> 1296    513    52    8041    9023    5
> 0    369    221    8253    9262    6
> 432    402    412    8840    8704    6
> 0    184    111    9085    9718    6
> 0    170    2    8381    9335    6
> 432    34    285    8744    8999    6
> 0    355    159    8564    9387    6
> 863    526    114    8479    10050    7
> 432    374    194    8130    7840    7
> 0    355    159    7785    8728    7
> 432    271    714    9065    9168    7
> 432    67    428    8621    9906    7
> 0    639    795    8294    8697    7
> 432    185    204    9243    9206    8
> 0    388    303    8938    9789    8
> 0    756    571    9574    9090    8
> 432    67    522    8733    8931    8
> 864    205    286    7760    8340    8
> 0    170    95    8089    8597    8
> 432    34    284    8132    8702    9
> 0    100    666    7704    8686    9
> 432    526    114    7414    8370    9
> 0    170    142    8039    8385    9
> 0    606    698    8443    9366    9
> 432    67    428    9334    9000    9
> 0    184    111    8313    8312    10
> 432    696    303    8280    8597    10
> 0    0    0    8578    9124    10
> 0    170    2    7820    9355    10
> 0    0    0    7738    7975    10
> 0    184    157    8867    8843    10
> 432    34    191    7664    8629    11
> 0    0    94    8368    9230    11
> 432    403    506    8601    9095    11
> 0    0    0    9330    8670    11
> 0    341    50    8782    8562    11
> 0    0    0    7676    8191    11
> 432    355    253    7033    8274    12
> 2159    1214    1302    8068    8903    12
> 432    1901    1679    8230    9152    12
> 864    1567    1368    8813    8729    12
> 863    1382    1398    8329    9207    12
> 432    1282    779    8162    8644    12
> 2160    1811    2099    8465    7745    13
> 3456    394    444    8263    8833    13
> 432    843    1034    8195    8508    13
> 0    828    1066    7338    7591    13
> 863    743    509    8134    8734    13
> 2159    581    480    7325    8426    13
> 0    979    799    7999    8233    14
> 864    783    626    8337    9256    14
> 1727    2210    1680    7633    8735    14
> 1728    2427    3859    8248    8895    14
> 5616    3623    3227    7566    8268    14
> 4318    2887    2478    7520    8146    14
>
> I read it from a file:
>
> data<-read.table("data.txt", head=T, sep="\t")
>
> When I try count column mean by interval:
>
> newData <- do.call(rbind, tapply(data[1:5], data$interval, colMeans))
>
>
> I get an error: Error in tapply(data[1:5], data$interval, colMeans) :
>    arguments must have same length
>
> Has anyone any clue what is wrong?
> Thank you in advance.
>

Blaser Nello

2013-May-15 10:19 UTC

head link

[R] Error in colMeans with multiple column data.frame

It  looks like you should use "by" instead of "tapply". 
Anyway, if you use dput(data) for sharing your data, it is much easier
to get help. 

Best, 
Nello



-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On Behalf Of Simonas Kecorius
Sent: Mittwoch, 15. Mai 2013 11:46
To: r-help at r-project.org
Subject: [R] Error in colMeans with multiple column data.frame

Dear R users,

Here is my data:

"a1"    "a2"    "a3"    "a4"   
"a5"    "interval"
432    355    159    9304    9949    1
0    184    157    9182    10120    1
1295    2    0    8861    10410    1
0    100    572    9102    9836    1
0    170    95    8421    9044    1
0    170    2    8963    9261    1
0    723    380    8483    8923    2
0    184    111    8206    9373    2
0    539    223    8670    8714    2
0    341    4    8044    7977    2
432    403    412    6938    7755    2
0    218    395    7661    7898    2
432    67    428    7176    7957    3
0    0    47    7508    8160    3
0    67    382    6978    7811    3
0    0    47    8537    8486    3
0    605    698    8651    9421    3
432    1    0    8114    8923    3
0    204    193    8904    9324    4
432    1221    371    8997    9681    4
0    0    0    8454    8838    4
0    170    49    8232    8994    4
0    184    111    9251    10790    4
0    170    142    8227    9616    4
0    67    428    8147    8359    5
864    356    112    8570    8578    5
0    0    47    8285    8859    5
432    67    475    8326    8915    5
432    355    112    8379    9061    5
1296    513    52    8041    9023    5
0    369    221    8253    9262    6
432    402    412    8840    8704    6
0    184    111    9085    9718    6
0    170    2    8381    9335    6
432    34    285    8744    8999    6
0    355    159    8564    9387    6
863    526    114    8479    10050    7
432    374    194    8130    7840    7
0    355    159    7785    8728    7
432    271    714    9065    9168    7
432    67    428    8621    9906    7
0    639    795    8294    8697    7
432    185    204    9243    9206    8
0    388    303    8938    9789    8
0    756    571    9574    9090    8
432    67    522    8733    8931    8
864    205    286    7760    8340    8
0    170    95    8089    8597    8
432    34    284    8132    8702    9
0    100    666    7704    8686    9
432    526    114    7414    8370    9
0    170    142    8039    8385    9
0    606    698    8443    9366    9
432    67    428    9334    9000    9
0    184    111    8313    8312    10
432    696    303    8280    8597    10
0    0    0    8578    9124    10
0    170    2    7820    9355    10
0    0    0    7738    7975    10
0    184    157    8867    8843    10
432    34    191    7664    8629    11
0    0    94    8368    9230    11
432    403    506    8601    9095    11
0    0    0    9330    8670    11
0    341    50    8782    8562    11
0    0    0    7676    8191    11
432    355    253    7033    8274    12
2159    1214    1302    8068    8903    12
432    1901    1679    8230    9152    12
864    1567    1368    8813    8729    12
863    1382    1398    8329    9207    12
432    1282    779    8162    8644    12
2160    1811    2099    8465    7745    13
3456    394    444    8263    8833    13
432    843    1034    8195    8508    13
0    828    1066    7338    7591    13
863    743    509    8134    8734    13
2159    581    480    7325    8426    13
0    979    799    7999    8233    14
864    783    626    8337    9256    14
1727    2210    1680    7633    8735    14
1728    2427    3859    8248    8895    14
5616    3623    3227    7566    8268    14
4318    2887    2478    7520    8146    14

I read it from a file:

data<-read.table("data.txt", head=T, sep="\t")

When I try count column mean by interval:

newData <- do.call(rbind, tapply(data[1:5], data$interval, colMeans))


I get an error: Error in tapply(data[1:5], data$interval, colMeans) :
  arguments must have same length

Has anyone any clue what is wrong?
Thank you in advance.

-- 
Simonas Kecorius
**

	[[alternative HTML version deleted]]

______________________________________________
R-help at r-project.org mailing list
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.

Rui Barradas

2013-May-15 10:52 UTC

head link

[R] Error in colMeans with multiple column data.frame

Hello,

Try the following.

aggregate(. ~ interval, data = data, mean)


Also, 'data' is an R function, you should use some other name, such as 
'dat'.

Hope this helps,

Rui Barradas

Em 15-05-2013 10:46, Simonas Kecorius escreveu:> Dear R users,
>
> Here is my data:
>
> "a1"    "a2"    "a3"    "a4"   
"a5"    "interval"
> 432    355    159    9304    9949    1
> 0    184    157    9182    10120    1
> 1295    2    0    8861    10410    1
> 0    100    572    9102    9836    1
> 0    170    95    8421    9044    1
> 0    170    2    8963    9261    1
> 0    723    380    8483    8923    2
> 0    184    111    8206    9373    2
> 0    539    223    8670    8714    2
> 0    341    4    8044    7977    2
> 432    403    412    6938    7755    2
> 0    218    395    7661    7898    2
> 432    67    428    7176    7957    3
> 0    0    47    7508    8160    3
> 0    67    382    6978    7811    3
> 0    0    47    8537    8486    3
> 0    605    698    8651    9421    3
> 432    1    0    8114    8923    3
> 0    204    193    8904    9324    4
> 432    1221    371    8997    9681    4
> 0    0    0    8454    8838    4
> 0    170    49    8232    8994    4
> 0    184    111    9251    10790    4
> 0    170    142    8227    9616    4
> 0    67    428    8147    8359    5
> 864    356    112    8570    8578    5
> 0    0    47    8285    8859    5
> 432    67    475    8326    8915    5
> 432    355    112    8379    9061    5
> 1296    513    52    8041    9023    5
> 0    369    221    8253    9262    6
> 432    402    412    8840    8704    6
> 0    184    111    9085    9718    6
> 0    170    2    8381    9335    6
> 432    34    285    8744    8999    6
> 0    355    159    8564    9387    6
> 863    526    114    8479    10050    7
> 432    374    194    8130    7840    7
> 0    355    159    7785    8728    7
> 432    271    714    9065    9168    7
> 432    67    428    8621    9906    7
> 0    639    795    8294    8697    7
> 432    185    204    9243    9206    8
> 0    388    303    8938    9789    8
> 0    756    571    9574    9090    8
> 432    67    522    8733    8931    8
> 864    205    286    7760    8340    8
> 0    170    95    8089    8597    8
> 432    34    284    8132    8702    9
> 0    100    666    7704    8686    9
> 432    526    114    7414    8370    9
> 0    170    142    8039    8385    9
> 0    606    698    8443    9366    9
> 432    67    428    9334    9000    9
> 0    184    111    8313    8312    10
> 432    696    303    8280    8597    10
> 0    0    0    8578    9124    10
> 0    170    2    7820    9355    10
> 0    0    0    7738    7975    10
> 0    184    157    8867    8843    10
> 432    34    191    7664    8629    11
> 0    0    94    8368    9230    11
> 432    403    506    8601    9095    11
> 0    0    0    9330    8670    11
> 0    341    50    8782    8562    11
> 0    0    0    7676    8191    11
> 432    355    253    7033    8274    12
> 2159    1214    1302    8068    8903    12
> 432    1901    1679    8230    9152    12
> 864    1567    1368    8813    8729    12
> 863    1382    1398    8329    9207    12
> 432    1282    779    8162    8644    12
> 2160    1811    2099    8465    7745    13
> 3456    394    444    8263    8833    13
> 432    843    1034    8195    8508    13
> 0    828    1066    7338    7591    13
> 863    743    509    8134    8734    13
> 2159    581    480    7325    8426    13
> 0    979    799    7999    8233    14
> 864    783    626    8337    9256    14
> 1727    2210    1680    7633    8735    14
> 1728    2427    3859    8248    8895    14
> 5616    3623    3227    7566    8268    14
> 4318    2887    2478    7520    8146    14
>
> I read it from a file:
>
> data<-read.table("data.txt", head=T, sep="\t")
>
> When I try count column mean by interval:
>
> newData <- do.call(rbind, tapply(data[1:5], data$interval, colMeans))
>
>
> I get an error: Error in tapply(data[1:5], data$interval, colMeans) :
>    arguments must have same length
>
> Has anyone any clue what is wrong?
> Thank you in advance.
>

arun

2013-May-15 13:17 UTC

head link

[R] Error in colMeans with multiple column data.frame

Hi,
#dput()
dat1<- 

structure(list(a1 = c(432L, 0L, 1295L, 0L, 0L, 0L, 0L, 0L, 0L, 
0L, 432L, 0L, 432L, 0L, 0L, 0L, 0L, 432L, 0L, 432L, 0L, 0L, 0L, 
0L, 0L, 864L, 0L, 432L, 432L, 1296L, 0L, 432L, 0L, 0L, 432L, 
0L, 863L, 432L, 0L, 432L, 432L, 0L, 432L, 0L, 0L, 432L, 864L, 
0L, 432L, 0L, 432L, 0L, 0L, 432L, 0L, 432L, 0L, 0L, 0L, 0L, 432L, 
0L, 432L, 0L, 0L, 0L, 432L, 2159L, 432L, 864L, 863L, 432L, 2160L, 
3456L, 432L, 0L, 863L, 2159L, 0L, 864L, 1727L, 1728L, 5616L, 
4318L), a2 = c(355L, 184L, 2L, 100L, 170L, 170L, 723L, 184L, 
539L, 341L, 403L, 218L, 67L, 0L, 67L, 0L, 605L, 1L, 204L, 1221L, 
0L, 170L, 184L, 170L, 67L, 356L, 0L, 67L, 355L, 513L, 369L, 402L, 
184L, 170L, 34L, 355L, 526L, 374L, 355L, 271L, 67L, 639L, 185L, 
388L, 756L, 67L, 205L, 170L, 34L, 100L, 526L, 170L, 606L, 67L, 
184L, 696L, 0L, 170L, 0L, 184L, 34L, 0L, 403L, 0L, 341L, 0L, 
355L, 1214L, 1901L, 1567L, 1382L, 1282L, 1811L, 394L, 843L, 828L, 
743L, 581L, 979L, 783L, 2210L, 2427L, 3623L, 2887L), a3 = c(159L, 
157L, 0L, 572L, 95L, 2L, 380L, 111L, 223L, 4L, 412L, 395L, 428L, 
47L, 382L, 47L, 698L, 0L, 193L, 371L, 0L, 49L, 111L, 142L, 428L, 
112L, 47L, 475L, 112L, 52L, 221L, 412L, 111L, 2L, 285L, 159L, 
114L, 194L, 159L, 714L, 428L, 795L, 204L, 303L, 571L, 522L, 286L, 
95L, 284L, 666L, 114L, 142L, 698L, 428L, 111L, 303L, 0L, 2L, 
0L, 157L, 191L, 94L, 506L, 0L, 50L, 0L, 253L, 1302L, 1679L, 1368L, 
1398L, 779L, 2099L, 444L, 1034L, 1066L, 509L, 480L, 799L, 626L, 
1680L, 3859L, 3227L, 2478L), a4 = c(9304L, 9182L, 8861L, 9102L, 
8421L, 8963L, 8483L, 8206L, 8670L, 8044L, 6938L, 7661L, 7176L, 
7508L, 6978L, 8537L, 8651L, 8114L, 8904L, 8997L, 8454L, 8232L, 
9251L, 8227L, 8147L, 8570L, 8285L, 8326L, 8379L, 8041L, 8253L, 
8840L, 9085L, 8381L, 8744L, 8564L, 8479L, 8130L, 7785L, 9065L, 
8621L, 8294L, 9243L, 8938L, 9574L, 8733L, 7760L, 8089L, 8132L, 
7704L, 7414L, 8039L, 8443L, 9334L, 8313L, 8280L, 8578L, 7820L, 
7738L, 8867L, 7664L, 8368L, 8601L, 9330L, 8782L, 7676L, 7033L, 
8068L, 8230L, 8813L, 8329L, 8162L, 8465L, 8263L, 8195L, 7338L, 
8134L, 7325L, 7999L, 8337L, 7633L, 8248L, 7566L, 7520L), a5 = c(9949L, 
10120L, 10410L, 9836L, 9044L, 9261L, 8923L, 9373L, 8714L, 7977L, 
7755L, 7898L, 7957L, 8160L, 7811L, 8486L, 9421L, 8923L, 9324L, 
9681L, 8838L, 8994L, 10790L, 9616L, 8359L, 8578L, 8859L, 8915L, 
9061L, 9023L, 9262L, 8704L, 9718L, 9335L, 8999L, 9387L, 10050L, 
7840L, 8728L, 9168L, 9906L, 8697L, 9206L, 9789L, 9090L, 8931L, 
8340L, 8597L, 8702L, 8686L, 8370L, 8385L, 9366L, 9000L, 8312L, 
8597L, 9124L, 9355L, 7975L, 8843L, 8629L, 9230L, 9095L, 8670L, 
8562L, 8191L, 8274L, 8903L, 9152L, 8729L, 9207L, 8644L, 7745L, 
8833L, 8508L, 7591L, 8734L, 8426L, 8233L, 9256L, 8735L, 8895L, 
8268L, 8146L), interval = c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 
2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 
5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 
7L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 
10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 
12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 
14L, 14L)), .Names = c("a1", "a2", "a3",
"a4", "a5", "interval"
), class = "data.frame", row.names = c(NA, -84L))

library(plyr)
?res1<-ddply(dat1,.(interval),colMeans)
?res2<-ddply(dat1,.(interval),numcolwise(mean))
head(res1)
#??????? a1?????? a2?????? a3?????? a4?????? a5 interval
#1 287.8333 163.5000 164.1667 8972.167 9770.000??????? 1
#2? 72.0000 401.3333 254.1667 8000.333 8440.000??????? 2
#3 144.0000 123.3333 267.0000 7827.333 8459.667??????? 3
#4? 72.0000 324.8333 144.3333 8677.500 9540.500??????? 4
#5 504.0000 226.3333 204.3333 8291.333 8799.167??????? 5
#6 144.0000 252.3333 198.3333 8644.500 9234.167??????? 6

identical(res2,cbind(interval=as.integer(res1[,6]),res1[,-6]))
#[1] TRUE
res3<- aggregate(. ~ interval, data = dat1, mean)
?identical(res2,res3)
#[1] TRUE
A.K.



----- Original Message -----
From: Simonas Kecorius <simolas2008 at gmail.com>
To: r-help at r-project.org
Cc: 
Sent: Wednesday, May 15, 2013 5:46 AM
Subject: [R] Error in colMeans with multiple column data.frame

Dear R users,

Here is my data:

"a1"? ? "a2"? ? "a3"? ? "a4"? ?
"a5"? ? "interval"
432? ? 355? ? 159? ? 9304? ? 9949? ? 1
0? ? 184? ? 157? ? 9182? ? 10120? ? 1
1295? ? 2? ? 0? ? 8861? ? 10410? ? 1
0? ? 100? ? 572? ? 9102? ? 9836? ? 1
0? ? 170? ? 95? ? 8421? ? 9044? ? 1
0? ? 170? ? 2? ? 8963? ? 9261? ? 1
0? ? 723? ? 380? ? 8483? ? 8923? ? 2
0? ? 184? ? 111? ? 8206? ? 9373? ? 2
0? ? 539? ? 223? ? 8670? ? 8714? ? 2
0? ? 341? ? 4? ? 8044? ? 7977? ? 2
432? ? 403? ? 412? ? 6938? ? 7755? ? 2
0? ? 218? ? 395? ? 7661? ? 7898? ? 2
432? ? 67? ? 428? ? 7176? ? 7957? ? 3
0? ? 0? ? 47? ? 7508? ? 8160? ? 3
0? ? 67? ? 382? ? 6978? ? 7811? ? 3
0? ? 0? ? 47? ? 8537? ? 8486? ? 3
0? ? 605? ? 698? ? 8651? ? 9421? ? 3
432? ? 1? ? 0? ? 8114? ? 8923? ? 3
0? ? 204? ? 193? ? 8904? ? 9324? ? 4
432? ? 1221? ? 371? ? 8997? ? 9681? ? 4
0? ? 0? ? 0? ? 8454? ? 8838? ? 4
0? ? 170? ? 49? ? 8232? ? 8994? ? 4
0? ? 184? ? 111? ? 9251? ? 10790? ? 4
0? ? 170? ? 142? ? 8227? ? 9616? ? 4
0? ? 67? ? 428? ? 8147? ? 8359? ? 5
864? ? 356? ? 112? ? 8570? ? 8578? ? 5
0? ? 0? ? 47? ? 8285? ? 8859? ? 5
432? ? 67? ? 475? ? 8326? ? 8915? ? 5
432? ? 355? ? 112? ? 8379? ? 9061? ? 5
1296? ? 513? ? 52? ? 8041? ? 9023? ? 5
0? ? 369? ? 221? ? 8253? ? 9262? ? 6
432? ? 402? ? 412? ? 8840? ? 8704? ? 6
0? ? 184? ? 111? ? 9085? ? 9718? ? 6
0? ? 170? ? 2? ? 8381? ? 9335? ? 6
432? ? 34? ? 285? ? 8744? ? 8999? ? 6
0? ? 355? ? 159? ? 8564? ? 9387? ? 6
863? ? 526? ? 114? ? 8479? ? 10050? ? 7
432? ? 374? ? 194? ? 8130? ? 7840? ? 7
0? ? 355? ? 159? ? 7785? ? 8728? ? 7
432? ? 271? ? 714? ? 9065? ? 9168? ? 7
432? ? 67? ? 428? ? 8621? ? 9906? ? 7
0? ? 639? ? 795? ? 8294? ? 8697? ? 7
432? ? 185? ? 204? ? 9243? ? 9206? ? 8
0? ? 388? ? 303? ? 8938? ? 9789? ? 8
0? ? 756? ? 571? ? 9574? ? 9090? ? 8
432? ? 67? ? 522? ? 8733? ? 8931? ? 8
864? ? 205? ? 286? ? 7760? ? 8340? ? 8
0? ? 170? ? 95? ? 8089? ? 8597? ? 8
432? ? 34? ? 284? ? 8132? ? 8702? ? 9
0? ? 100? ? 666? ? 7704? ? 8686? ? 9
432? ? 526? ? 114? ? 7414? ? 8370? ? 9
0? ? 170? ? 142? ? 8039? ? 8385? ? 9
0? ? 606? ? 698? ? 8443? ? 9366? ? 9
432? ? 67? ? 428? ? 9334? ? 9000? ? 9
0? ? 184? ? 111? ? 8313? ? 8312? ? 10
432? ? 696? ? 303? ? 8280? ? 8597? ? 10
0? ? 0? ? 0? ? 8578? ? 9124? ? 10
0? ? 170? ? 2? ? 7820? ? 9355? ? 10
0? ? 0? ? 0? ? 7738? ? 7975? ? 10
0? ? 184? ? 157? ? 8867? ? 8843? ? 10
432? ? 34? ? 191? ? 7664? ? 8629? ? 11
0? ? 0? ? 94? ? 8368? ? 9230? ? 11
432? ? 403? ? 506? ? 8601? ? 9095? ? 11
0? ? 0? ? 0? ? 9330? ? 8670? ? 11
0? ? 341? ? 50? ? 8782? ? 8562? ? 11
0? ? 0? ? 0? ? 7676? ? 8191? ? 11
432? ? 355? ? 253? ? 7033? ? 8274? ? 12
2159? ? 1214? ? 1302? ? 8068? ? 8903? ? 12
432? ? 1901? ? 1679? ? 8230? ? 9152? ? 12
864? ? 1567? ? 1368? ? 8813? ? 8729? ? 12
863? ? 1382? ? 1398? ? 8329? ? 9207? ? 12
432? ? 1282? ? 779? ? 8162? ? 8644? ? 12
2160? ? 1811? ? 2099? ? 8465? ? 7745? ? 13
3456? ? 394? ? 444? ? 8263? ? 8833? ? 13
432? ? 843? ? 1034? ? 8195? ? 8508? ? 13
0? ? 828? ? 1066? ? 7338? ? 7591? ? 13
863? ? 743? ? 509? ? 8134? ? 8734? ? 13
2159? ? 581? ? 480? ? 7325? ? 8426? ? 13
0? ? 979? ? 799? ? 7999? ? 8233? ? 14
864? ? 783? ? 626? ? 8337? ? 9256? ? 14
1727? ? 2210? ? 1680? ? 7633? ? 8735? ? 14
1728? ? 2427? ? 3859? ? 8248? ? 8895? ? 14
5616? ? 3623? ? 3227? ? 7566? ? 8268? ? 14
4318? ? 2887? ? 2478? ? 7520? ? 8146? ? 14

I read it from a file:

data<-read.table("data.txt", head=T, sep="\t")

When I try count column mean by interval:

newData <- do.call(rbind, tapply(data[1:5], data$interval, colMeans))


I get an error: Error in tapply(data[1:5], data$interval, colMeans) :
? arguments must have same length

Has anyone any clue what is wrong?
Thank you in advance.

-- 
Simonas Kecorius
**

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R help - May 2013 - Error in colMeans with multiple column data.frame

[R] Error in colMeans with multiple column data.frame

[R] Error in colMeans with multiple column data.frame

[R] Error in colMeans with multiple column data.frame

[R] Error in colMeans with multiple column data.frame

[R] Error in colMeans with multiple column data.frame