DanielPlot {FrF2}R Documentation

Normal or Half-Normal Effects Plots

Description

The function is modified from the same-name function in packge BsMD with the purpose of providing more usage comfort (correct effect sizes in case of factors, automatic annotation, automatic labelling of the most significant factors only).

Usage

DanielPlot(fit, code = FALSE, autolab = TRUE, alpha = 0.05, faclab = NULL, 
       block = FALSE, datax = TRUE, half = FALSE, pch = "*", 
       cex.fac = par("cex.lab"), cex.lab = par("cex.lab"), 
       cex.pch = par("cex"), cex.legend = par("cex.lab"), 
       main = NULL, ...)

Arguments

fit object of class lm. Fitted model from lm or aov.
code logical. If TRUE labels “A”,“B”, etc. are used instead of the names of the coefficients (factors). A legend linking codes to names is provided.
autolab If TRUE, only the significant factors according to the Lenth method (significance level given by alpha) are labelled.
alpha significanc level for the Lenth method
faclab NULL or list. If NULL, point labels are automatically determined according to the setting of code (i.e. A,B,C etc. for code=TRUE, natural effect names otherwise) and autolab (i.e. all effects are labelled if autolab=FALSE, only significant effects are labelled if autolab=TRUE). Otherwise, faclab can be used for manual labelling of certain effects and should be a list with idx (integer vector referring to position of effects to be labelled) and lab (character vector of labels) components.
block logical. If TRUE, the first factor is labelled as “BK” (block).
datax logical. If TRUE, the x-axis is used for the factor effects the the y-axis for the normal scores. The opposite otherwise.
half logical. If TRUE, half-normal plot of effects is display.
pch numeric or character. Points character.
cex.fac numeric. Factor label character size.
cex.lab numeric. Labels character size.
cex.pch numeric. Points character size.
cex.legend numeric. Legend size in case of codes.
main NULL or character. Title of plot. If NULL, automatic title is generated.
... graphical parameters passed to plot.

Details

The design has to be a fractional factorial 2-level design. Effects (except for the intercept) are displayed in a normal or half-normal plot with the effects in the x-axis by default.

Value

The function returns an invisible data frame with columns: x, y, no and effect, for the coordinates, the position numbers and the effect names for plotted points.

Author(s)

Ernesto Barrios, modified by Ulrike Groemping.

References

Box G. E. P, Hunter, W. C. and Hunter, J. S. (2005) Statistics for Experimenters, 2nd edition. New York: Wiley.

Daniel, C. (1959) Use of Half Normal Plots in Interpreting Two Level Experiments. Technometrics 1, 311–340.

Daniel, C. (1976) Application of Statistics to Industrial Experimentation. New York: Wiley.

Lenth, R.V. (1989) Quick and easy analysis of unreplicated factorials. Technometrics 31, 469–473.

Lenth, R.V. (2006) Lenth s Method for the Analysis of Unreplicated Experiments. To appear in Encyclopedia of Statistics in Quality and Reliability, Wiley, New York. Downloadable at http://www.wiley.com/legacy/wileychi/eqr/docs/sample_1.pdf.

See Also

qqnorm, LenthPlot, BsMD-package


[Package FrF2 version 0.9-1 Index]