"Practical Data Analysis using S" by Brian S. Yandell (yandell@stat.wisc.edu).

The pda library contains all the functions for the "Practical Data
Analysis for Designed Experiments" book by Brian S. Yandell, as used
at the University of Wisconsin-Madison for Statistics 850.
Items below without titles may not have pages yet

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INTERACTION PLOTS

int.plot		interval/interaction plots
ci.plot			confidence interval interaction plot
lsd.plot		LSD interaction plot
margin.plot		margin interaction plot(s)
tukey.plot		Tukey interaction plot
mandel.plot		Mandel interaction plot

ci.width		CI width calculation
lsd.bar			Fisher's LSD bar
se.bar			standard error bars

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DIAGNOSTIC PLOTS

effect.plot		plot of MS-adjusted fit effects and residuals
effect.fit		MS-adjusted fit effects and residuals
box.fig			draw boxplot figure at specified position

trans.plot		diagnostic plot: power transform to remove interaction

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PLOTS WITH SYMBOLS

mplot			multiple plot by group
mlines			multiple lines by group
mpoints			multiple points by group
mqqnorm			multiple Q-Q normal and half-normal plot by group

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READING, PRINTING AND PLOTTING

enscript		enscript file & send to printer
lpr			send file to printer (see enscript)
lpq			check printer queue

plotter			select graphics device by environment variable
ghostview		run ghostview of PostScript file

dotna			reinterpret "." as NA in dataframe

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SUMMARY STATISTICS

std.dev			standard deviation of vector or linear model
harmonic.mean		harmonic mean

cor.coef		correlation of model coefficients
cov.coef		covariance of model coefficients
se.coef			standard errors of model coefficients

df.resid		residual degrees of freedom
df.resid.default	... for vector or list of vectors
df.resid.lm		... for linear model fit

lsmean			least square means
lsmean.default
lsmean.lm

sample.size		sample size by group
sample.size.default
sample.size.lm

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GEOMETRY

circle			draw a circle
ellipse			draw an ellipse
norm.ellipse		draw contour ellipses for bivariate normal

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FACTOR NAME UTILITIES

all.covariates		names of covariates in model fit
all.covars		names of covariates in model fit
all.factors		names of factors in model fit
all.predictors		names of predictors (covariates & factors)
model.response		name of response in model fit

factor.labels		labels of factors in model fit

get.list		get elements from a list
unfactor		(similar to unclass)
char			string containing first character of vector elements

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NESTED DESIGNS		See also library(nlme)
			[These routines are in a state of transition.]

branch
burst
split.plot
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