qualityTools (version 1.49)

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 of the response in a vector.

factor1

vector providing factor 1 as shown in the example.

factor2

vector providing factor 2 as shown in the example.

factor3

vector providing factor 3 as shown in the example.

factor4

vector providing factor 4 as shown in the example.

fun

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

points

logical value deciding whether the points will be shown or not. By default points is set to TRUE.

connect

logical value specifying whether the means of each factor will be connected or not. By default connect is set to TRUE.

col

graphical parameter. Vector containing numerical values or character strings giving the colors for the different factors. By default col is set to c(1,2,3,4).

pch

graphical parameter. Vector containing numerical values or single characters giving plotting points for the different factors. See points for possible values and their interpretation. Note that only integers

xlim

graphical parameter. The x limits (x1, x2) of the plot. Note that x1 > x2 is allowed and leads to a reversed axis.

ylim

graphical parameter. The y limits of the plot.

main

graphical parameter. A main title for the plot, see also title.

main.sub

graphical parameter. A sub title for the plot (character string).

horiz

logical value specifying where the legend will be plotted. If set to TRUE the legend will appear above the main plot, if FALSE (default) the legend will be placed next to the main plot at the right side.

lwd.b

numerical value giving the width of the line between the mean values of all groups.

lwd.w

numerical value giving the width of the line within the mean of the values of one group.

pch.b

numerical value or single character giving the type of point for the mean values of all groups.

pch.w

numerical value or single character giving the type of point for the mean values of the single groups.

col.w

numerical value or character string giving the color of points for the mean values of the single groups.

col.b

numerical value or character string giving the color of points for the mean values of all groups.

...

further graphical parameters see par.

See Also

http://www.user.tu-berlin.de/kalicete/qualityTools

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)