bar_dunnett | R Documentation |
The function performs the construction of a column chart of Dunnett's test.
bar_dunnett(
output.dunnett,
ylab = "Response",
xlab = "",
fill = c("#F8766D", "#00BFC4"),
sup = NA,
add.mean = TRUE,
round = 2
)
output.dunnett |
Numerical or complex vector with treatments |
ylab |
Variable response name (Accepts the expression() function) |
xlab |
Treatments name (Accepts the expression() function) |
fill |
Fill column. Use vector with two elements c(control, different treatment) |
sup |
Number of units above the standard deviation or average bar on the graph |
add.mean |
Plot the average value on the graph (default is TRUE) |
round |
Number of cells |
Returns a column chart of Dunnett's test. The colors indicate difference from the control.
#====================================================
# 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))
a= with(data,dunnett(trat = trat,
resp = resp,
control = "Test",
block=bloco,model = "DBC"))
bar_dunnett(a)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.