end for i=1:5 lable3(i)={'25%'}; end for i=1:5 lable4(i)={'30%'}; end for i=1:5 lable5(i)={'35%'}; end
>> group=[lable1,lable2,lable3,lable4,lable5]'; >> [p,STATS]=vartestn(Y,group) p =0.9198
STATS = chisqstat: 0.9331 df: 4
[p,table,stats]=anova1(Y,group)
p =9.1279e-006
table = 'Source' 'SS' 'df' 'MS' 'F' 'Prob>F'
'Groups' [475.7600] [ 4] [118.9400] [14.7568] [9.1279e-006]
'Error' [161.2000] [20] [ 8.0600] [] []
'Total' [636.9600] [24] [] []
stats = gnames: {5x1 cell} n: [5 5 5 5 5] source: 'anova1'
means: [9.8000 15.4000 17.6000 21.6000 10.8000] df: 20 s: 2.8390
[]
>> [c,m,h,gname]=multcompare(stats);
>> head={'组序号','组序号','置信下限','组均值差','置信上限'}; >> comparesult=[head;num2cell(c)]
comparesult = '组序号' '组序号' '置信下限' '组均值差' '置信上限'
[ 1] [ 2] [-10.9730] [ -5.6000] [ -0.2270] [ 1] [ 3] [-13.1730] [ -7.8000] [ -2.4270]
[ 1] [ 1] [ 2] [ 2] [ 2] [ 3] [ 3] [ 4] [ 4] [ 5] [ 3] [ 4] [ 5] [ 4] [ 5] [ 5] [-17.1730] [ -6.3730] [ -7.5730] [-11.5730] [ -0.7730] [ -9.3730] [ 1.4270] [ 5.4270] [-11.8000] -1] [ -6.2000] 4.6000] -4] [ 6.8000] [ 10.8000] [ -6.4270] [ 4.3730] [ 3.1730] [ -0.8270] [ 9.9730] [ 1.3730] [ 12.1730] [ 16.1730]
[ [ -2.2000] [ [
