dunnett function

Analysis: Dunnett test

The function performs the Dunnett test

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"
)

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

Returns

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"))