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dae (version 3.0-32)

Functions Useful in the Design and ANOVA of Experiments

Description

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 .

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Install

install.packages('dae')

Monthly Downloads

1,033

Version

3.0-32

License

GPL (>= 2)

Maintainer

Chris Brien

Last Published

May 15th, 2019

Functions in dae (3.0-32)

ABC.Interact.dat

Randomly generated set of values indexed by three factors

Data for a balanced incomplete block experiment

correct.degfree

Check the degrees of freedom in an object of class projector

designLatinSqrSys

Generate a systematic plan for a Latin Square design

A graphical representation of an experimental design using labels stored in a matrix.

Data for an experiment with rows and columns from Williams (2002)

Deprecated Functions in Package dae

Generate a randomized layout for an experiment

Match, for each combination of a set of columns in x, the row that has the same combination in table

Calcuates the harmonic mean.

Recodes factor levels using values in a vector. The values in the vector do not have to be unique.

McIntyreTMV.dat

The design and data from McIntyre's (1955) two-phase experiment

computes the summation matrix that produces sums corresponding to a (generalized) factor

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

Exp249.mplot.des

Systematic, main-plot design for an experiment to be run in a greenhouse

interaction.ABC.plot

Plots an interaction plot for three factors

Forms an arma correlation matrix

Data for an experiment to investigate nitrogen response of 3 oats varieties

Form a banded matrix from a vector of values

Extracts the canonical efficiency factors from a pcanon.object or a p2canon.object.

Forms an exponential correlation matrix

efficiency.criteria

Computes efficiency criteria from a set of efficiency factors

Computes the number of replicates for an experiment

computes the projection matrix that produces means

Extract the residuals for a fitted model

Forms an exponential correlation matrix

Calculates the design matrix for fitting the random component of a natural cubic smoothing spline

Data for a 2^4 factorial experiment

as.data.frame.pstructure

Coerces a pstructure.object to a data.frame.

designAmeasures

Calculates the average variance of pairwise differences from the variance matrix for predictions that can be obtained using mat.Vpredicts

residuals.aovlist

Extract the residuals from an aovlist object

Description of a p2canon object

creates a factor whose values are generated within those of the factor nesting.fac

LatticeSquare_t49.des

A Lattice square design for 49 treatments

Examines the relationship between the eigenvectors for two decompositions

Description of a pcanon object

pstructure.object

Description of a pstructure object

Tests whether all elements are approximately zero

Tests whether an object is a valid object of class projector

Degrees of freedom extraction and replacement

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.

designTwophaseAnatomies

Given the layout for a design and three structure formulae, obtain the anatomies for the two-phase, first-phase, cross-phase and second-phase designs.

Computes the detectable difference for an experiment

Divides a factor into several individual factors

Generate all combinations of several factors and, optionally, replicate them

Extract the fitted values for a fitted model

Forms a square matrix of ones

forms the ar1 correlation matrix for a (generalized) factor

Calculates the variances of a set of predicted effects from a mixed model

Half or full normal plot of Yates effects

Forms the direct product of two matrices

get.daeTolerance

Gets the value of daeTolerance for the package dae

Forms the direct sum of a list of matrices

projs.combine.p2canon

Extract, from a p2canon object, the projectors that give the combined canonical decomposition

Forms an ar2 correlation matrix

pstructure.formula

Takes a formula and constructs a pstructure.object that includes the orthogonalized projectors for the terms in a formula

generates a vector of random values from a multivariate normal distribution

set.daeTolerance

Sets the values of daeTolerance for the package dae

Combines several factors into one

Data for an experiment to investigate the effects of grazing patterns on pasture composition

Extracts the marginality matrix (matrices) from a pstructure.object or a pcanon.object.

Sensory3Phase.dat

Data for the three-phase sensory evaluation experiment in Brien, C.J. and Payne, R.W. (1999)

Forms a unit matrix

Forms an ar3 correlation matrix

Forms an sar2 correlation matrix

Calculates the variance matrix of the random effects for a natural cubic smoothing spline

computes the projection matrix that produces means

Convert a factor to a numeric vector

print.projector

Print projectors

blockboundaryPlot

This function plots a block boundary on a plot produced by designPlot.

Forms an sar correlation matrix

print.summary.p2canon

Prints the values in an summary.p2canon object

print.pstructure

Prints a pstructure.object

Compute the projection and Residual operators for two, possibly nonorthogonal, projectors

designPlotlabels

Plots labels on a two-way grid using ggplot2

proj2.efficiency

Computes the canonical efficiency factors for the joint decomposition of two projectors

print.summary.pcanon

Prints the values in an summary.pcanon object

designRandomize

Randomize allocated to recipient factors to produce a layout for an experiment

Canonical efficiency factors and eigenvectors in joint decomposition of two projectors

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

projector-class

Class projector

summary.p2canon

Summarize a canonical analysis of the relationships between two sets of projectors

Extract Yates effects

Extract the elements of an array specified by the subscripts

Summarizes the anatomy of a design, being the decomposition of the sample space based on its canonical analysis, as produced by designAnatomy

Expands the values in table to a vector

forms the variance matrix for the variance component of a (generalized) factor

Extract the fitted values for a fitted model from an aovlist object

Calculates the variances of a set of predicted effects from a mixed model, based on supplied matrices or formulae.

Forms an ar1 correlation matrix

Forms an ma1 correlation matrix

Forms an ma2 correlation matrix

Computes the power for an experiment

Print an aliasing data.frame

Create projectors

A canonical analysis of the relationships between two sets of projectors

Methods for Function show in Package dae

Generate paper strength values

The intermittent, randomly-presented, startup tips.