friedmanmc {pgirmess} | R Documentation |
Test of multiple comparison after Friedman test
friedmanmc(y, groups, blocks,probs=0.05)
y |
a numeric vector of data values, or a data matrix |
groups |
a vector giving the group for the corresponding elements of 'y' if this is a vector; ignored if 'y' is a matrix. If not a factor object, it is coerced to one. |
blocks |
a vector giving the block for the corresponding elements of 'y' if this is a vector; ignored if 'y' is a matrix. If not a factor object, it is coerced to one. |
probs |
a probability for the critical difference. |
Method for formula still not implemented. Formula 7.5a (Siegel & Castellan, 1988 p 180-181) can lead to p values larger than 1 when differences between groups are small. Eventually, they are set to NA and a warning is generated.
A list of class 'mc' with the following items:
statistic |
statistics used |
p.value |
the p value of the critical difference |
dif.com |
a data.frame with observed and critical differences |
Patrick Giraudoux <pgiraudo@univ-fcomte.fr>
Siegel & Castellan (1988) Non parametric statistics for the behavioural sciences. Mc Graw Hill Int. Edt.
data(siegelp179) attach(siegelp179) friedman.test(score,treatment,block) friedmanmc(score,treatment,block) friedmanmc(score,treatment,block,probs=0.01) mymatrix<-matrix(score,nc=3) friedman.test(mymatrix) friedmanmc(mymatrix)