dae3.2.28 package

Functions Useful in the Design and ANOVA of Experiments

efficiency.criteria

Computes efficiency criteria from a set of efficiency factors

fac.split

Splits a factor whose levels consist of several delimited strings into...

daeTips

The intermittent, randomly-presented, startup tips.

as.data.frame.pstructure

Coerces a pstructure.object to a data.frame.

as.numfac

Convert a factor to a numeric vector

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

tools:::Rd_package_title("dae")

designPlot

A graphical representation of an experimental design using labels stor...

decomp.relate

Examines the relationship between the eigenvectors for two decompositi...

degfree

Degrees of freedom extraction and replacement

designAmeasures

Calculates the average variance of pairwise differences from the varia...

designAnatomy

Given the layout for a design, obtain its anatomy via the canonical an...

designBlocksGGPlot

Adds block boundaries to a plot produced by designGGPlot.

designGGPlot

Plots labels on two-way grids of coloured cells using ggplot2 to rep...

designLatinSqrSys

Generate a systematic plan for a Latin Square design

designPlotlabels

Plots labels on a two-way grid using ggplot2

designRandomize

Randomize allocated to recipient factors to produce a layout for an ex...

designTwoPhaseAnatomies

Given the layout for a design and three structure formulae, obtain the...

detect.diff

Computes the detectable difference for an experiment

efficiencies

Extracts the canonical efficiency factors from a pcanon.object or a ...

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

mat.gau

Forms an exponential correlation matrix

fac.divide

Divides a factor into several separate factors

fac.gen

Generate all combinations of several factors and, optionally, replicat...

fac.genfactors

Generate all combinations of the levels of the supplied factors, witho...

fac.match

Match, for each combination of a set of columns in x, the row that h...

fac.meanop

computes the projection matrix that produces means

fac.multinested

Creates several factors, one for each level of nesting.fac and each of...

fac.nested

creates a factor, the nested factor, whose values are generated within...

fac.recast

Recasts a factor by modifying the values in the factor vector and/or t...

fac.recode

Recodes factor levels using values in a vector. The values in the ve...

fac.sumop

computes the summation matrix that produces sums corresponding to a (g...

fac.uncombine

Cleaves a single factor, each of whose levels has delimited strings, i...

fac.uselogical

Forms a two-level factor from a logical object.

fac.vcmat

forms the variance matrix for the variance component of a (generalized...

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 envir...

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 ...

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 val...

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.ginv

Computes the generalized inverse of a matrix

mat.I

Forms a unit matrix

mat.J

Forms a square matrix of ones

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 cub...

mat.random

Calculates the variance matrix for the random effects from a mixed mod...

mat.sar

Forms an sar correlation matrix

mat.sar2

Forms an sar2 correlation matrix

mat.Vpred

Calculates the variances of a set of predicted effects from a mixed mo...

mat.Vpredicts

Calculates the variances of a set of predicted effects from a mixed mo...

meanop

computes the projection matrix that produces means

mpone

Converts the first two levels of a factor into the numeric values -1 a...

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...

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 nonort...

proj2.efficiency

Computes the canonical efficiency factors for the joint decomposition ...

proj2.eigen

Canonical efficiency factors and eigenvectors in joint decomposition o...

projector-class

Class projector

projector

Create projectors

projs.2canon

A canonical analysis of the relationships between two sets of projecto...

projs.combine.p2canon

Extract, from a p2canon object, the projectors that give the combined ...

pstructure.formula

Takes a formula and constructs a pstructure.object that includes the...

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...

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 distrib...

set.daeRNGkind

Sets the values of daeRNGkind for the package dae in the daeEnv enviro...

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 o...

summary.pcanon

Summarizes the anatomy of a design, being the decomposition of the sam...

tukey.1df

Performs Tukey's one-degree-of-freedom-test-for-nonadditivity

yates.effects

Extract Yates effects

Zncsspline

Calculates the design matrix for fitting the random component of a nat...

The content falls into the following groupings: (i) Data, (ii) Factor manipulation functions, (iii) Design functions, (iv) ANOVA functions, (v) Matrix functions, (vi) Projector and canonical efficiency functions, and (vii) Miscellaneous functions. There is a vignette describing how to use the design functions for randomizing and assessing designs available as a vignette called 'DesignNotes'. The ANOVA functions facilitate the extraction of information when the 'Error' function has been used in the call to 'aov'. The package 'dae' can also be installed from <http://chris.brien.name/rpackages/>.

  • Maintainer: Chris Brien
  • License: GPL (>= 2)
  • Last published: 2024-06-12