qualityTools (version 1.31.1)

mvPlot: Multi-Vari Charts

Description

Draws a Multi-Vari Chart for 2, 3 or 4 factors

Usage

mvPlot(y, factor1, factor2, factor3, factor4, fun = mean, points = TRUE, connect = TRUE, col = c(1, 2, 3, 4), pch = c(1, 2, 3, 4), xlim, ylim, main, main.sub, horiz = FALSE, lwd.b = 1, lwd.w = 1, pch.b = 15, pch.w = 17, col.w = 2, col.b = 1, ...)

Arguments

y

the values o the response

factor1

settings of factor 1

factor2

settings of factor 2

factor3

settings of factor 3

factor4

settings of factor 4

fun

function to be used for calculation of y for unique settings of the factors e.g. the mean

points

show points

connect

are the means of each factor to be connected

col

graphical parameter

pch

graphical parameter

xlim

graphical parameter

ylim

graphical parameter

main

graphical parameter

main.sub

sub title

horiz

position of the legend

lwd.b

lwd (between)

lwd.w

lwd (within)

pch.b

pch (between)

pch.w

pch (within)

col.w

col (within)

col.b

col (between)

...

further graphical parameters see par

Examples

#generate some data
factor1 = c(rep(1, 9), rep(2, 9), rep(3,9))
factor2 = c(rep(1,9), rep(2,9), rep(3,9))
temp = expand.grid(c(1,2,3), c(1,2,3))
temp = as.data.frame(rbind(temp, temp, temp))
temp = cbind(temp, rnorm(27, 20, 2))
names(temp) = c("factor1", "factor2", "response")

#have a look at the design matrix
temp

mvPlot(y = temp[,3], factor1 = temp[,1], factor2 = temp[,2], col.b = "red3", horiz = FALSE)