normalPlot: Normal plot

Description Usage Arguments Details Value Note Author(s) See Also Examples

Description

function to generate a normal plot of the factor effects for an object of class facDesign.

Usage

1
2
3
normalPlot(fdo, threeWay = FALSE, na.last = NA, alpha = 0.05, response = NULL,
           sig.col = c("red1", "red2", "red3"), sig.pch = c(1, 2, 3), main,
           ylim, xlim, xlab, ylab, pch, col, border = "red", ...)

Arguments

fdo

object of class facDesign.

threeWay

‘TRUE’/‘FALSE’ plot three-way or higher interactions. By default threeWay is set to ‘FALSE’.

na.last

By default set to ‘NA’.

alpha

alpha for marking interactions.

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 ‘1’. It needs to be the same character as the name of the response in the response data frame that should be plotted.
By default response is set to ‘NULL’.

sig.col

vector - colors for marking significant interactions. By default sig.col is set to ‘c("red1", "red2", "red3")’.

sig.pch

vector - point characters for marking significant interactions. By default sig.pch is set to ‘c(1, 2, 3)’.

main

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

ylim

graphical parameter. The y limits of the plot.

xlim

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

xlab

graphical parameter. A label for the x axis, defaults to a description of x.

ylab

graphical parameter. A label for the y axis, defaults to a description of y.

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 and single-character strings can be set as a graphics parameter (and not NA nor NULL).

col

graphical parameter. Single numerical value or character string giving the color for the points.

border

graphical parameter. Single numerical value or character string giving the color of the border line.

...

further graphical parameters see par.

Details

If the given facDesign object fdo contains replicates this function will deliver a normal plot
i.e.: effects divided by the standard deviation (t-value) will be plotted against an appropriate probability
scaling (see: ppoints).
If the given facDesign object fdo contains no replications the standard error can not be calculated.
In that case the function will deliver an effect plot.
i.e.: the effects will be plotted against an appropriate probability scaling. (see: ppoints).

Value

NULL

Note

For a more detailed example which shows the usage of normalPlot() in context please read the vignette for the package qualityTools at http://www.r-qualitytools.org/html/Improve.html.

Author(s)

Thomas Roth thomas.roth@tu-berlin.de

See Also

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

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
#factorial design
fdo = facDesign(k=3, replicates = 2)  
#seed for random numbers
set.seed(123) 
#random numbers
y = rnorm(nrow(fdo)) 
#set the response 
response(fdo) = y 
#create a normal plot
normalPlot(fdo) 

Example output

Loading required package: Rsolnp
Loading required package: MASS

Attaching package: 'qualityTools'

The following object is masked from 'package:stats':

    sigma

Warning messages:
1: In `[<-`(`*tmp*`, i, value = <S4 object of class "doeFactor">) :
  implicit list embedding of S4 objects is deprecated
2: In `[<-`(`*tmp*`, i, value = <S4 object of class "doeFactor">) :
  implicit list embedding of S4 objects is deprecated
3: In `[<-`(`*tmp*`, i, value = <S4 object of class "doeFactor">) :
  implicit list embedding of S4 objects is deprecated
         A          B          C        A:B        A:C        B:C      A:B:C 
 0.6721878  0.3839618  0.3576010 -0.6308455 -0.3483437  0.7782067  0.7484254 

qualityTools documentation built on May 2, 2019, 10:21 a.m.