AgroR (version 1.3.6)

dunnett: Analysis: Dunnett test

Description

The function performs the Dunnett test

Usage

dunnett(
  trat,
  resp,
  control,
  model = "DIC",
  block = NA,
  column = NA,
  line = NA,
  alpha.t = 0.05,
  pointsize = 5,
  pointshape = 21,
  linesize = 1,
  labelsize = 4,
  textsize = 12,
  errorsize = 1,
  widthsize = 0.2,
  label = "Response",
  fontfamily = "sans"
)

Value

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

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)

pointsize

Point size

pointshape

Shape

linesize

Line size

labelsize

Label size

textsize

Font size

errorsize

Errorbar size

widthsize

Width errorbar

label

Variable label

fontfamily

font family

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"))