BoxPlot {CorReg} | R Documentation |
classical boxplot function improved with integrated confidence level on the mean for each group ploted on the graph and also ANOVA with p-value and its interpretation given in the legend.
BoxPlot(num, grp = NULL, data = NULL, AnoVa = TRUE, risk = 0.05, lang = c("en", "fr"), verbose = TRUE, ...)
num |
a numeric vector to plot boxplot(num~grp). Represents the value that will be compared between the groups. |
grp |
a qualitative vector (factor) to plot boxplot(num~grp). Represents the groups we will compare. |
data |
a data.frame (or list) from which the variables in formula should be taken. |
AnoVa |
boolean to compute or not anova (when multiple groups) to see if they differ in mean.If false the Kruskal-Wallis Rank Sum test is computed instead. |
risk |
the risk value used for confidence intervals. |
lang |
lingustic parameter to specify the language of the legend |
verbose |
boolean to make a test and print the result in the subtitle |
... |
Other graphical parameters |
## Not run: require(CorReg) repart=c(20,40,40) X=data.frame(num=c(rnorm(repart[1],10,1),rnorm(repart[2],11,1),rnorm(repart[3],10,1)), grp=c(rep("A",times=repart[1]),rep("B",times=repart[2]),rep("C",times=repart[3]))) BoxPlot(X$num,X$grp,data=X,ylab="num",main="boxplot with confidence intervals") #Confidence interval in red with mean in blue. ## End(Not run)