Dear Daniel,
Are you really interested on the analyzis of the effect of ML on Grup, our
on the effect of Grup on ML?
I reproduce your sample database, but "changed" some Grup values from 1 to 2
to allow an analysis of variance.
See the example below.
Vale!
miltinho astronaura
Brazil
GBM<-read.table(stdin(),head=T, sep=",")
ID,Grup,ML,PC,mI,Gly,Glx
X373.txt,1,1,0.004685889,0.05994939,0.004589104,0.007144027,0.02042549
X373bis.txt,2,1,0.004685889,0.0599494,0.004589104,0.007144028,0.0204255
X376.txt,3,1,0.007604898,0.07600049,0.01935247,0.01678972,0.03363403
X392.txt,4,1,0.004982747,0.02760991,0.01855596,0.01413439,0.02013267
X483.txt,5,1,0.009131522,0.02636227,0.02485232,0.01493074,0.02532194
X520.txt,6,1,0.008553895,0.06304886,0.02490261,0.01907819,0.03356447
X671.txt,7,1,0.008004383,0.05243909,0.0229447,0.024266,0.03553224
X673A.txt,8,1,0.01306893,0.02799318,0.01155338,0.007668364,0.02123958
X673B.txt,9,1,0.006099385,0.0516078,0.03099324,0.02664487,0.03766267
X674.txt,10,1,0.005476397,0.04945545,0.01479742,0.01084873,0.02307815
X681.txt,11,1,0.009807893,0.01680487,0.004524913,0.004705414,0.008969453
X725.txt,12,1,0.01018343,0.0119391,0.007911063,0.008005791,0.01014625
X746.txt,13,1,0.008864319,0.02484126,0.01198048,0.01276371,0.01042683
X772.txt,14,1,0.005966057,0.07398342,0.0210399,0.01606057,0.02932874
X814.txt,15,1,0.01350947,0.0317243,0.003234958,0.002958675,0.005194511
X835.txt,16,1,0.005509359,0.02670237,0.07425323,0.04095533,0.031017
X847.txt,17,1,0.004784228,0.05349206,0.01183679,0.01230316,0.03073348
X851.txt,18,1,0.004395889,0.03812635,0.01998653,0.02165763,0.02074277
X865.txt,19,1,0.001514055,0.07128447,0.0106887,0.00802192,0.01478855
X878.txt,20,1,0.003693918,0.03864821,0.01571797,0.01972568,0.022711
et2029.txt,21,1,0.05204285,0.03769878,0.03168799,0.03631842,0.02732589
et2348.txt,22,1,0.01407517,0.01679014,0.004900163,0.004243802,0.01052361
GBM[11:22,"Grup"]<-2
GBM
aov(Grup~ML,data=GBM)
aov(ML~Grup,data=GBM)
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