friedman {agricolae} | R Documentation |
The data consist of b-blocks mutually independent k-variate random variables Xij, i=1,..,b; j=1,..k. The random variable X is in block i and is associated with treatment j. It makes the multiple comparison of the Friedman test with or without ties. A first result is obtained by friedman.test of R.
friedman(judge,trt,evaluation,alpha=0.05,group=TRUE,main=NULL,console=FALSE)
judge |
Identification of the judge in the evaluation |
trt |
Treatment |
evaluation |
Variable |
alpha |
Significant test |
group |
TRUE or FALSE |
main |
Title |
console |
logical, print output |
The post hoc friedman test is using the criterium Fisher's least significant difference (LSD)
statistics |
Statistics of the model |
parameters |
Design parameters |
means |
Statistical summary of the study variable |
comparison |
Comparison between treatments |
groups |
Formation of treatment groups |
Felipe de Mendiburu
Practical Nonparametrics Statistics. W.J. Conover, 1999
BIB.test
, DAU.test
, duncan.test
,
durbin.test
, HSD.test
, kruskal
,
LSD.test
, Median.test
, PBIB.test
,
REGW.test
, scheffe.test
, SNK.test
,
waerden.test
, waller.test
, plot.group
library(agricolae) data(grass) out<-with(grass,friedman(judge,trt, evaluation,alpha=0.05, group=TRUE,console=TRUE, main="Data of the book of Conover")) #startgraph plot(out,variation="IQR") #endgraph