plot-methods: Methods for function plot in Package 'MAINT.Data'

In MAINT.Data: Model and Analyse Interval Data

Methods for function plot in Package ‘MAINT.Data’

Description

S4 methods for function plot. As in the generic plot S3 ‘graphics’ method, these methods plot Interval-valued data contained in IData objects.

Usage

## S4 method for signature 'IData,IData'
plot(x, y, type=c("crosses","rectangles"), append=FALSE, ...)
## S4 method for signature 'IData,missing'
plot(x, casen=NULL, layout=c("vertical","horizontal"), append=FALSE, ...)

Arguments

x	An object of type IData representing the values of an Interval-value variable.
y	An object of type IData representing the values of a second Interval-value variable, to be displayed along y (vertical) coordinates.
type	What type of plot should de drawn. Alternatives are "crosses" (default) and "rectangles".
append	A boolean flag indicating if the interval-valued variables should be displayed in a new plot, or added to an existing plot.
casen	An optional character string with the case names.
layout	The axes along which the interval-valued variables be displayed. Alternatives are "vertical" (default) and "horizontal".
...	Graphical arguments to be passed to methods.

See Also

IData

Examples

## Not run: 

# Create an Interval-Data object containing the Length, Diameter, Height, Whole weight, 
# Shucked weight, Viscera weight (VW), and Shell weight (SeW) of 4177 Abalones, 
# aggregated by sex and age.
# Note: The original micro-data (imported UCI Machine Learning Repository Abalone dataset) 
# is given in the AbaDF data frame, and the corresponding values of the sex by age combinations 
# is represented by the AbUnits factor. 

AbaloneIdt <- AgrMcDt(AbaDF,AbUnits)

# Dispaly a plot of the Length versus the Whole_weight interval variables

plot(AbaloneIdt[,"Length"],AbaloneIdt[,"Whole_weight"])
plot(AbaloneIdt[,"Length"],AbaloneIdt[,"Whole_weight"],type="rectangles")

# Display the Abalone lengths using different colors to distinguish the Abalones age 
# (measured by the number of rings)   

# Create a factor with three levels (Young, Adult and Old) for Abalones with 
# respectively less than 10 rings, between 11 and 18 rings, and more than 18 rings. 

Agestrg <- substring(rownames(AbaloneIdt),first=3)
AbalClass <- factor(ifelse(Agestrg=="1-3"|Agestrg=="4-6"| Agestrg=="7-9","Young",
  ifelse(Agestrg=="10-12"|Agestrg=="13-15"| Agestrg=="16-18","Adult","Old") ) )

plot(AbaloneIdt[AbalClass=="Young","Length"],col="blue",layout="horizontal") 
plot(AbaloneIdt[AbalClass=="Adult","Length"],col="green",layout="horizontal",append=TRUE) 
plot(AbaloneIdt[AbalClass=="Old","Length"],col="red",layout="horizontal",append=TRUE) 
legend("bottomleft",legend=c("Young","Adult","Old"),col=c("blue","green","red"),lty=1)



## End(Not run)

MAINT.Data documentation built on April 4, 2023, 9:09 a.m.