REGW.test: Ryan, Einot and Gabriel and Welsch multiple range test

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/REGW.test.R

Description

Multiple range tests for all pairwise comparisons, to obtain a confident inequalities multiple range tests.

Usage

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REGW.test(y, trt, DFerror, MSerror, alpha = 0.05, group=TRUE, main = NULL,console=FALSE)

Arguments

y

model(aov or lm) or answer of the experimental unit

trt

Constant( only y=model) or vector treatment applied to each experimental unit

DFerror

Degree free

MSerror

Mean Square Error

alpha

Significant level

group

TRUE or FALSE

main

Title

console

logical, print output

Details

It is necessary first makes a analysis of variance.

Value

statistics

Statistics of the model

parameters

Design parameters

regw

Critical Range Table

means

Statistical summary of the study variable

comparison

Comparison between treatments

groups

Formation of treatment groups

Author(s)

Felipe de Mendiburu

References

Multiple comparisons theory and methods. Departament of statistics the Ohio State University. USA, 1996. Jason C. Hsu. Chapman Hall/CRC

See Also

BIB.test, DAU.test, duncan.test, durbin.test, friedman, HSD.test, kruskal, LSD.test, Median.test, PBIB.test, scheffe.test, SNK.test, waerden.test, waller.test, plot.group

Examples

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library(agricolae)
data(sweetpotato)
model<-aov(yield~virus,data=sweetpotato)
out<- REGW.test(model,"virus", 
main="Yield of sweetpotato. Dealt with different virus")
print(out)
REGW.test(model,"virus",alpha=0.05,console=TRUE,group=FALSE)

Example output

$statistics
   MSerror Df   Mean      CV
  22.48917  8 27.625 17.1666

$parameters
  test name.t ntr alpha
  REGW  virus   4  0.05

$regw
     Table CriticalRange
2 3.879582      10.62212
3 4.041036      11.06417
4 4.528810      12.39967

$means
      yield      std r  Min  Max   Q25  Q50   Q75
cc 24.40000 3.609709 3 21.7 28.5 22.35 23.0 25.75
fc 12.86667 2.159475 3 10.6 14.9 11.85 13.1 14.00
ff 36.33333 7.333030 3 28.0 41.8 33.60 39.2 40.50
oo 36.90000 4.300000 3 32.1 40.4 35.15 38.2 39.30

$comparison
NULL

$groups
      yield groups
oo 36.90000      a
ff 36.33333      a
cc 24.40000      b
fc 12.86667      c

attr(,"class")
[1] "group"

Study: model ~ "virus"

Ryan, Einot and Gabriel and Welsch multiple range test
for yield 

Mean Square Error:  22.48917 

virus,  means

      yield      std r  Min  Max
cc 24.40000 3.609709 3 21.7 28.5
fc 12.86667 2.159475 3 10.6 14.9
ff 36.33333 7.333030 3 28.0 41.8
oo 36.90000 4.300000 3 32.1 40.4

Comparison between treatments means

         difference pvalue signif.         LCL         UCL
cc - fc  11.5333333 0.0350       *   0.9112173  22.1554494
cc - ff -11.9333333 0.0360       * -22.9975029  -0.8691637
cc - oo -12.5000000 0.0482       * -24.8996698  -0.1003302
fc - ff -23.4666667 0.0006     *** -34.0887827 -12.8445506
fc - oo -24.0333333 0.0007     *** -35.0975029 -12.9691637
ff - oo  -0.5666667 0.9873         -11.1887827  10.0554494

agricolae documentation built on Sept. 13, 2017, 1:03 a.m.