order.group {agricolae}

Ordering the treatments according to the multiple comparison

Description

This function allows us to compare the treatments averages or the adding of their ranges with the minimal significant difference which can vary from one comparison to another one.

Usage

order.group(trt, means, N, MSerror, Tprob, std.err, parameter=1, snk=0, 
DFerror=NULL,alpha=NULL,sdtdif=NULL,vartau=NULL,console)

Arguments

trt

Treatments

means

Means of treatment

N

Replications

MSerror

Mean square error

Tprob

minimum value for the comparison

std.err

standard error

parameter

Constante 1 (Sd), 0.5 (Sx)

snk

Constante = 1 (Student Newman Keuls)

DFerror

Degrees of freedom of the experimental error

alpha

Level of risk for the test

sdtdif

standard deviation of difference in BIB

vartau

matrix var-cov in PBIB

console

logical, print output

Details

This function was changed by orderPvalue function that use agricolae. Now the grouping in agricolae is with the probability of the treatments differences and alpha level.

Value

The output is data frame.

trt

Treatment Levels, Factor

means

height, Numeric

M

groups levels, Factor

N

replications, Numeric

std.err

Standard error, Numeric

Note

It is considered 81 labels as maximum for the formation of groups, greater number will not have label.

Author(s)

Felipe de Mendiburu

See Also

orderPvalue

Examples

library(agricolae)
treatments <- c("A","B","C","D","E","F")
means<-c(20,40,35,72,49,58)
std.err<-c(1.2, 2, 1.5, 2.4, 1, 3.1)
replications <- c(4,4,3,4,3,3)
MSerror <- 55.8
value.t <- 2.1314
groups<-order.group(treatments,means,replications,MSerror,value.t,std.err,console=FALSE)
print(groups)