scottknott: Multiple comparison: Scott-Knott test

In ExpDes: Experimental Designs Package

Description

scottknott Performs the test of Scott-Knott, for multiple comparison of means.

Usage

scottknott(y, trt, DFerror, SSerror, alpha = 0.05, group = TRUE, main = NULL)

Arguments

y	Numeric or complex vector containing the response variable.
trt	Numeric or complex vector containing the treatments.
DFerror	Error degrees of freedom.
SSerror	Error sum of squares.
alpha	Significance level.
group	TRUE or FALSE.
main	Title.

Value

Returns the multiple comparison of means according to the test of Scott-Knott.

Author(s)

Eric B Ferreira, [e-mail]

Denismar Alves Nogueira

Portya Piscitelli Cavalcanti (Adapted from Laercio Junio da Silva - GPL(>=2))

References

RAMALHO, M. A. P.; FERREIRA, D. F.; OLIVEIRA, A. C. de. Experimentacao em Genetica e Melhoramento de Plantas. 2a ed. Lavras: UFLA. 2005. 300p.

See Also

snk, duncan, lsd, lsdb, ccboot, tukey, ccF.

Examples

data(ex1)
attach(ex1)
crd(trat, ig, quali = TRUE, mcomp = "sk", sigT = 0.05)

Example output

Attaching package: ‘ExpDes’

The following object is masked from ‘package:stats’:

    ccf

------------------------------------------------------------------------
Analysis of Variance Table
------------------------------------------------------------------------
           DF     SS MS     Fc     Pr>Fc
Treatament  3 214.88  3 6.5212 0.0029622
Residuals  20 219.67  2                 
Total      23 434.55  1                 
------------------------------------------------------------------------
CV = 3.41 %

------------------------------------------------------------------------
Shapiro-Wilk normality test
p-value:  0.91697 
According to Shapiro-Wilk normality test at 5% of significance, residuals can be considered normal.
------------------------------------------------------------------------

------------------------------------------------------------------------
Homogeneity of variances test
p-value:  0.1863216 
According to the test of bartlett at 5% of significance, residuals can be considered homocedastic.
------------------------------------------------------------------------

Scott-Knott test
------------------------------------------------------------------------
  Groups Treatments     Means
1      a          0 102.19833
2      b         10  96.74333
3      b          5  95.05833
4      b         15  94.74333
------------------------------------------------------------------------

ExpDes documentation built on Oct. 5, 2021, 9:09 a.m.