qualityTools (version 1.53)

effectPlot: Main Effect Plots

Description

A main effect plot is created for designs of type taguchiDesign and facDesign.

Usage

effectPlot(object, factors, fun = mean, response = NULL, single = FALSE, 
           points = FALSE, classic = FALSE, axes = TRUE, lty, xlab, ylab, main, 
           ylim, ...)

Arguments

object

needs to be an object of class facDesign or taguchiDesign.

factors

for which factor is the effectPlot to be created.

fun

a function for the construction of the effectPlot such as mean, link{median},etc. By default fun is set to mean.

response

response variable. If the response data frame of fdo consists of more then one responses, this variable can be used to choose just one column of the response data frame. response needs to be an object of class character with length of

single

logical value. If TRUE device region can be set up using for instance par(mfrow = c(2,2)). By default single is set to FALSE.

points

logical value. If TRUE points are shown in addition to values out of fun. By default points is set to FALSE.

axes

logical value indicating wheter the axes should be drawn or not. TRUE by default.

classic

logical value. TRUE creates an effectPlot as depicted in most textbooks. By default classic is set to FALSE.

lty

numerical value which specifies the line type used.

xlab

a title for the x axis: title.

ylab

a title for the y axis: title.

main

an overall title for the plot: see title.

ylim

vector giving the range of the y-axis.

...

Arguments to be passed to methods, such as graphical parameters (see par).

Details

effectPlot uses an altered version of the base function interaction.plot to draw each effectPlot.

See Also

interactionPlot paretoPlot facDesign response normalPlot http://www.r-qualitytools.org/Improve.html

Examples

#effectPlot for a 2^k factorial design
fdo = facDesign(k = 3)
#set response with generic response function
response(fdo) = rnorm(8)  
effectPlot(fdo)

#effectPlot for a taguchiDesign
tdo = taguchiDesign("L9_3")
response(tdo) = rnorm(9)
effectPlot(tdo, points = TRUE, col = 2, pch = 16, lty = 3)