I am having difficulty calculating the median of grouped data.  I have 8 to 10 
repeated measures per sample and I have successfully used the following code to 
calculate the average for each sample.

libs.norm.preds.median[,7:9]<-apply(libs.norm.preds.median[,7:9],MARGIN=2, 
FUN=ave,libs.norm.preds.median[,1])

I then use the unique function to collapse the data into one line per sample.

I would also like to calculate the median, standard error, and coefficient of 
variation as well.  I have not been able to get median to work properly.  I 
have tried this and variants:

libs.norm.preds.median[,7:9]<-apply(libs.norm.preds.median[,7:9],MARGIN=2, 
FUN=median,libs.norm.preds.median[,1])


I receive the following error:
        Warning messages:
       1: In if (na.rm) x <- x[!is.na(x)] else if (any(is.na(x)))       
return(x[FALSE][NA]) :the condition has length > 1 and only the first   element 
will be used

Here is a subset of my data (tab delimited):

samp.id core    field   TC      IC      SOC     TC.15 comps     IC.16 comps     
SOC.17 comps    TC.15 comps     IC.16 comps     SOC.17 comps
HOR006_3        HOR006  HOR     7.157   0       7.157   8.008273281     
0.786161341     6.402343153     8.008273281     0.786161341     6.402343153
HOR006_3        HOR006  HOR     7.157   0       7.157   6.258510623     
-1.117567268    6.987405984     6.258510623     0       6.987405984
HOR006_3        HOR006  HOR     7.157   0       7.157   14.21306811     
7.968072165     6.818917226     14.21306811     7.968072165     6.818917226
HOR006_3        HOR006  HOR     7.157   0       7.157   17.73301788     
9.017994045     9.035508792     17.73301788     9.017994045     9.035508792
HOR006_3        HOR006  HOR     7.157   0       7.157   12.54204929     
6.285521186     6.052762372     12.54204929     6.285521186     6.052762372
HOR006_3        HOR006  HOR     7.157   0       7.157   10.07603128     
3.485872902     6.937777459     10.07603128     3.485872902     6.937777459
HOR006_3        HOR006  HOR     7.157   0       7.157   11.02330763     
4.963708049     7.03753441      11.02330763     4.963708049     7.03753441
HOR006_3        HOR006  HOR     7.157   0       7.157   11.02330763     
4.963708049     7.03753441      11.02330763     4.963708049     7.03753441
HOR006_3        HOR006  HOR     7.157   0       7.157   9.249550001     
1.92641169      7.675586354     9.249550001     1.92641169      7.675586354
HOR006_3        HOR006  HOR     7.157   0       7.157   7.414208739     
-0.020533568    7.057048733     7.414208739     0       7.057048733
HOR006_4        HOR006  HOR     11.73   0       11.73   14.42894814     
8.998403641     5.752994239     14.42894814     8.998403641     5.752994239
HOR006_4        HOR006  HOR     11.73   0       11.73   13.65284466     
6.757373476     6.388413921     13.65284466     6.757373476     6.388413921
HOR006_4        HOR006  HOR     11.73   0       11.73   10.72185703     
5.053095924     6.016783029     10.72185703     5.053095924     6.016783029
HOR006_4        HOR006  HOR     11.73   0       11.73   14.68382689     
7.557801473     6.667911142     14.68382689     7.557801473     6.667911142
HOR006_4        HOR006  HOR     11.73   0       11.73   2.287381003     
-3.074174656    6.654986023     2.287381003     0       6.654986023
HOR006_4        HOR006  HOR     11.73   0       11.73   14.57145428     
8.812845515     6.625453309     14.57145428     8.812845515     6.625453309
HOR006_4        HOR006  HOR     11.73   0       11.73   21.12964238     
13.27394496     6.568626499     21.12964238     13.27394496     6.568626499
HOR006_4        HOR006  HOR     11.73   0       11.73   19.46136803     
8.03100103      6.910126723     19.46136803     8.03100103      6.910126723
HOR006_4        HOR006  HOR     11.73   0       11.73   13.16591198     
4.738398449     6.051036242     13.16591198     4.738398449     6.051036242
HOR006_5        HOR006  HOR     20.339  14.383  5.956   24.17001811     
15.44634892     8.095868636     24.17001811     15.44634892     8.095868636
HOR006_5        HOR006  HOR     20.339  14.383  5.956   19.17125764     
12.28559645     7.468646662     19.17125764     12.28559645     7.468646662
HOR006_5        HOR006  HOR     20.339  14.383  5.956   20.18713584     
13.12584843     6.985808635     20.18713584     13.12584843     6.985808635
HOR006_5        HOR006  HOR     20.339  14.383  5.956   25.58402927     
18.23958469     6.960777883     25.58402927     18.23958469     6.960777883
HOR006_5        HOR006  HOR     20.339  14.383  5.956   24.04109959     
16.32371239     7.12821025      24.04109959     16.32371239     7.12821025
HOR006_5        HOR006  HOR     20.339  14.383  5.956   19.809507       
12.28987767     7.290354063     19.809507       12.28987767     7.290354063
HOR006_5        HOR006  HOR     20.339  14.383  5.956   22.37852335     
13.66636406     7.814588276     22.37852335     13.66636406     7.814588276
HOR006_5        HOR006  HOR     20.339  14.383  5.956   20.67374067     
12.99877903     6.997267952     20.67374067     12.99877903     6.997267952
HOR006_5        HOR006  HOR     20.339  14.383  5.956   24.69721989     
16.10787468     8.381673118     24.69721989     16.10787468     8.381673118


*******************************************************************
Ross Bricklemyer
Dept. of Crop and Soil Sciences
Washington State University
251 Johnson Hall
PO Box 646420
Pullman, WA 99164-6420
Work: 509.335.3661
Cell/Home: 406.570.8576
Fax: 509.335.8674
Email: [EMAIL PROTECTED]

 

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