ABC.Interact.dat        Randomly generated set of values indexed by
                        three factors
BIBDWheat.dat           Data for a balanced incomplete block experiment
Cabinet1.des            A design for one of the growth cabinets in an
                        experiment with 50 lines and 4 harvests
Casuarina.dat           Data for an experiment with rows and columns
                        from Williams (2002)
Exp249.munit.des        Systematic, main-unit design for an experiment
                        to be run in a greenhouse
Fac4Proc.dat            Data for a 2^4 factorial experiment
LatticeSquare_t49.des   A Lattice square design for 49 treatments
McIntyreTMV.dat         The design and data from McIntyre's (1955)
                        two-phase experiment
Oats.dat                Data for an experiment to investigate nitrogen
                        response of 3 oats varieties
SPLGrass.dat            Data for an experiment to investigate the
                        effects of grazing patterns on pasture
                        composition
Sensory3Phase.dat       Data for the three-phase sensory evaluation
                        experiment in Brien, C.J. and Payne, R.W.
                        (1999)
Zncsspline              Calculates the design matrix for fitting the
                        random component of a natural cubic smoothing
                        spline
as.data.frame.pstructure
                        Coerces a pstructure.object to a data.frame.
as.numfac               Convert a factor to a numeric vector, possibly
                        centering or scaling the values
blockboundaryPlot       This function plots a block boundary on a plot
                        produced by 'designPlot'.
correct.degfree         Check the degrees of freedom in an object of
                        class projector
dae-deprecated          Deprecated Functions in Package dae
dae-package             Functions Useful in the Design and ANOVA of
                        Experiments
daeTips                 The intermittent, randomly-presented, startup
                        tips.
decomp.relate           Examines the relationship between the
                        eigenvectors for two decompositions
degfree                 Degrees of freedom extraction and replacement
designAmeasures         Calculates the average variance of pairwise
                        differences from the variance matrix for
                        predictions
designAnatomy           Given the layout for a design, obtain its
                        anatomy via the canonical analysis of its
                        projectors to show the confounding and aliasing
                        inherent in the design.
designBlocksGGPlot      Adds block boundaries to a plot produced by
                        'designGGPlot'.
designGGPlot            Plots labels on two-way grids of coloured cells
                        using 'ggplot2' to represent an experimental
                        design
designLatinSqrSys       Generate a systematic plan for a Latin Square
                        design
designPlot              A graphical representation of an experimental
                        design using labels stored in a matrix.
designPlotlabels        Plots labels on a two-way grid using 'ggplot2'
designRandomize         Randomize allocated to recipient factors to
                        produce a layout for an experiment
designTwophaseAnatomies
                        Given the layout for a design and three
                        structure formulae, obtain the anatomies for
                        the (i) two-phase, (ii) first-phase, (iii)
                        cross-phase, treatments, and (iv)
                        combined-units designs.
detect.diff             Computes the detectable difference for an
                        experiment
efficiencies            Extracts the canonical efficiency factors from
                        a 'pcanon.object' or a 'p2canon.object'.
efficiency.criteria     Computes efficiency criteria from a set of
                        efficiency factors
elements                Extract the elements of an array specified by
                        the subscripts
extab                   Expands the values in table to a vector
fac.ar1mat              forms the ar1 correlation matrix for a
                        (generalized) factor
fac.combine             Combines several factors into one
fac.divide              Divides a factor into several separate factors
fac.gen                 Generate all combinations of several factors
                        and, optionally, replicate them
fac.genfactors          Generate all combinations of the levels of the
                        supplied factors, without replication
fac.match               Match, for each combination of a set of columns
                        in 'x', the row that has the same combination
                        in 'table'
fac.meanop              computes the projection matrix that produces
                        means
fac.multinested         Creates several factors, one for each level of
                        the nesting factor and each of whose values are
                        either generated within those of a level of the
                        nesting factor or using the values of the
                        nested factor within the levels of the nesting
                        factor.
fac.nested              creates a factor, the nested factor, whose
                        values are generated within those of the factor
                        nesting.fac
fac.recast              Recasts a factor by modifying the values in the
                        factor vector and/or the levels attribute,
                        possibly combining some levels into a single
                        level.
fac.recode              Recodes factor 'levels' using values in a
                        vector. The values in the vector do not have to
                        be unique.
fac.split               Splits a factor whose levels consist of several
                        delimited strings into several factors
fac.sumop               computes the summation matrix that produces
                        sums corresponding to a (generalized) factor
fac.uncombine           Cleaves a single factor, each of whose levels
                        has delimited strings, into several factors
                        using the separated strings.
fac.uselogical          Forms a two-level 'factor' from a 'logical'
                        object.
fac.vcmat               forms the variance matrix for the variance
                        component of a (generalized) factor
fitted.aovlist          Extract the fitted values for a fitted model
                        from an aovlist object
fitted.errors           Extract the fitted values for a fitted model
get.daeRNGkind          Gets the value of daeRNGkind for the package
                        dae from the daeEnv environment
get.daeTolerance        Gets the value of daeTolerance for the package
                        dae
harmonic.mean           Calcuates the harmonic mean.
interaction.ABC.plot    Plots an interaction plot for three factors
is.allzero              Tests whether all elements are approximately
                        zero
is.projector            Tests whether an object is a valid object of
                        class projector
marginality             Extracts the marginality matrix (matrices) from
                        a 'pstructure.object' or a 'pcanon.object'.
mat.I                   Forms a unit matrix
mat.J                   Forms a square matrix of ones
mat.Vpred               Calculates the variances of a set of predicted
                        effects from a mixed model
mat.Vpredicts           Calculates the variances of a set of predicted
                        effects from a mixed model, based on supplied
                        matrices or formulae.
mat.ar1                 Forms an ar1 correlation matrix
mat.ar2                 Forms an ar2 correlation matrix
mat.ar3                 Forms an ar3 correlation matrix
mat.arma                Forms an arma correlation matrix
mat.banded              Form a banded matrix from a vector of values
mat.cor                 Forms a correlation matrix in which all
                        correlations have the same value.
mat.corg                Forms a general correlation matrix
mat.dirprod             Forms the direct product of two matrices
mat.dirsum              Forms the direct sum of a list of matrices
mat.exp                 Forms an exponential correlation matrix
mat.gau                 Forms an exponential correlation matrix
mat.ginv                Computes the generalized inverse of a matrix
mat.ma1                 Forms an ma1 correlation matrix
mat.ma2                 Forms an ma2 correlation matrix
mat.ncssvar             Calculates the variance matrix of the random
                        effects for a natural cubic smoothing spline
mat.random              Calculates the variance matrix for the random
                        effects from a mixed model, based on a supplied
                        formula or a matrix.
mat.sar                 Forms an sar correlation matrix
mat.sar2                Forms an sar2 correlation matrix
meanop                  computes the projection matrix that produces
                        means
mpone                   Converts the first two levels of a factor into
                        the numeric values -1 and +1
no.reps                 Computes the number of replicates for an
                        experiment
p2canon.object          Description of a p2canon object
pcanon.object           Description of a pcanon object
porthogonalize.list     Takes a list of 'projectors' and constructs a
                        'pstructure.object' that includes projectors,
                        each of which has been orthogonalized to all
                        projectors preceding it in the list.
power.exp               Computes the power for an experiment
print.aliasing          Print an aliasing data.frame
print.projector         Print projectors
print.pstructure        Prints a pstructure.object
print.summary.p2canon   Prints the values in an 'summary.p2canon'
                        object
print.summary.pcanon    Prints the values in an 'summary.pcanon' object
proj2.combine           Compute the projection and Residual operators
                        for two, possibly nonorthogonal, projectors
proj2.efficiency        Computes the canonical efficiency factors for
                        the joint decomposition of two projectors
proj2.eigen             Canonical efficiency factors and eigenvectors
                        in joint decomposition of two projectors
projector               Create projectors
projector-class         Class projector
projs.2canon            A canonical analysis of the relationships
                        between two sets of projectors
projs.combine.p2canon   Extract, from a p2canon object, the projectors
                        that give the combined canonical decomposition
pstructure.formula      Takes a formula and constructs a
                        'pstructure.object' that includes the
                        orthogonalized projectors for the terms in a
                        formula
pstructure.object       Description of a pstructure object
qqyeffects              Half or full normal plot of Yates effects
rep.data.frame          Replicate the rows of a data.frame by repeating
                        each row consecutively and/or repeating all
                        rows as a group
resid.errors            Extract the residuals for a fitted model
residuals.aovlist       Extract the residuals from an aovlist object
rmvnorm                 generates a vector of random values from a
                        multivariate normal distribution
set.daeRNGkind          Sets the values of daeRNGkind for the package
                        dae in the daeEnv environment
set.daeTolerance        Sets the values of daeTolerance for the package
                        dae
show-methods            Methods for Function show in Package dae
strength                Generate paper strength values
summary.p2canon         Summarize a canonical analysis of the
                        relationships between two sets of projectors
summary.pcanon          Summarizes the anatomy of a design, being the
                        decomposition of the sample space based on its
                        canonical analysis, as produced by
                        designAnatomy
tukey.1df               Performs Tukey's
                        one-degree-of-freedom-test-for-nonadditivity
yates.effects           Extract Yates effects
