dunnett: Analysis: Dunnett test

In AgronomiaR/AgroR: Experimental Statistics and Graphics for Agricultural Sciences

Description

The function performs the Dunnett test

Usage

dunnett(
  trat,
  resp,
  control,
  model = "DIC",
  block = NA,
  column = NA,
  line = NA,
  alpha.t = 0.05,
  label = "Response"
)

Arguments

trat	Numerical or complex vector with treatments
resp	Numerical vector containing the response of the experiment.
control	Treatment considered control (write identical to the name in the vector)
model	Experimental design (DIC, DBC or DQL)
block	Numerical or complex vector with blocks
column	Numerical or complex vector with columns
line	Numerical or complex vector with lines
alpha.t	Significance level (default is 0.05)
label	Variable label

Value

I return the Dunnett test for experiments in a completely randomized design, randomized blocks or Latin square.

Note

Do not use the "-" symbol or space in treatment names

Examples

#====================================================
# complete randomized design
#====================================================
data("pomegranate")
with(pomegranate,dunnett(trat=trat,resp=WL,control="T1"))

#====================================================
# randomized block design in factorial double
#====================================================
library(AgroR)
data(cloro)
attach(cloro)
respAd=c(268, 322, 275, 350, 320)
a=FAT2DBC.ad(f1, f2, bloco, resp, respAd,
             ylab="Number of nodules",
             legend = "Stages",mcomp="sk")
data=rbind(data.frame(trat=paste(f1,f2,sep = ""),bloco=bloco,resp=resp),
           data.frame(trat=c("Test","Test","Test","Test","Test"),
                      bloco=unique(bloco),resp=respAd))
with(data,dunnett(trat = trat,
                  resp = resp,
                  control = "Test",
                  block=bloco,model = "DBC"))

AgronomiaR/AgroR documentation built on Nov. 14, 2021, 12:10 a.m.