dae
Version: NA
Date: NA
(i) Data | |
Randomly generated set of values indexed by | |
three factors | |
BIBDWheat.dat
|
Data for a balanced incomplete block experiment |
Casuarina.dat
|
Data for an experiment with rows and columns from |
Williams (2002) | |
Exp249.mplot.des
|
Systematic, main-plot 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 (1955) two-phase |
experiment | |
Oats.dat
|
Data for an experiment to investigate nitrogen response |
of 3 oats varieties | |
Sensory3Phase.dat
|
Data for the three-phahse sensory evaluation |
experiment in Brien, C.J. and Payne, R.W. (1999) | |
Sensory3PhaseShort.dat
|
Data for the three-phase sensory evaluation |
experiment in Brien, C.J. and Payne, R.W. (1999), | |
but with short factor names | |
SPLGrass.dat
|
Data for an experiment to investigate the |
effects of grazing patterns on pasture | |
composition | |
(ii) Factor manipulation functions | |
Convert a factor to a numeric vector |
fac.combine
|
Combines several factors into one |
fac.divide
|
Divides a factor into several individual factors |
fac.gen
|
Generate all combinations of several factors and, | |
optionally, replicate them |
fac.match
|
Match, for each combination of a set of columns | |
in 'x', the row that has the same combination | |
in 'table' |
fac.nested
|
Creates a factor whose values are generated | |
within those of the factor nesting.fac |
fac.recode
|
Recodes factor 'levels' using possibly nonunique | |
values in a vector. |
mpone
|
Converts the first two levels of a factor into | |
the numeric values -1 and +1 | |
(iii) Design functions | |
This function plots a block boundary on a plot | |
produced by 'designPlot'. It supersedes | |
blockboundary.plot. | |
designAmeasures
|
Calculates the A-optimality measures from the |
variance matrix for predictions that can be obtained | |
using mat.Vpredicts | |
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. | |
designLatinSqrSys
|
Generate a systematic plan for a Latin Square design. |
designPlot
|
A graphical representation of an experimental design |
using labels stored in a matrix. | |
It superseded design.plot. | |
designPlotlabels
|
Plots labels on a two-way grid using ggplot2 . |
designRandomize
|
Randomize allocated to recipient factors to produce |
a layout for an experiment. It supersedes fac.layout . |
|
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. | |
marginality.pstructure
|
Extracts the marginality matrix from a |
pstructure.object |
|
marginality.pstructure
|
Extracts a list containing the marginality matrices from |
a pcanon.object |
|
print.aliasing
|
Prints an aliasing data.frame |
no.reps
|
Computes the number of replicates for an experiment |
detect.diff
|
Computes the detectable difference for an experiment |
power.exp
|
Computes the power for an experiment |
summary.pcanon
|
Summarizes the anatomy of a design, being the |
decomposition of the sample space based on its | |
canonical analysis | |
(iv) ANOVA functions | |
Extract the fitted values for a fitted model | |
from an aovlist object |
fitted.errors
|
Extract the fitted values for a fitted model |
interaction.ABC.plot
|
Plots an interaction plot for three factors |
qqyeffects
|
Half or full normal plot of Yates effects |
resid.errors
|
Extract the residuals for a fitted model |
residuals.aovlist
|
Extract the residuals from an aovlist object |
strength
|
Generate paper strength values |
tukey.1df
|
Performs Tukey's | |
one-degree-of-freedom-test-for-nonadditivity |
yates.effects
|
Extract Yates effects | |
(v) Matrix functions | |
Extract the elements of an array specified by | |
the subscripts | |
fac.ar1mat
|
Forms the ar1 correlation matrix for a |
(generalized) factor | |
fac.sumop
|
Computes the summation matrix that produces |
sums corresponding to a (generalized) factor | |
fac.vcmat
|
Forms the variance matrix for the variance |
component of a (generalized) factor | |
mat.I
|
Forms a unit matrix |
mat.J
|
Forms a square matrix of ones |
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
|
Forms a banded matrix |
mat.exp
|
Forms an exponential correlation matrix |
mat.gau
|
Forms a gaussian correlation matrix |
mat.ma1
|
Forms an ma1 correlation matrix |
mat.ma2
|
Forms an ma2 correlation matrix |
mat.ncssvar
|
Forms a variance matrix for random cubic |
smoothing spline effects | |
mat.sar
|
Forms an sar correlation matrix |
mat.sar2
|
Forms an sar2 correlation matrix |
mat.dirprod
|
Forms the direct product of two matrices |
mat.dirsum
|
Forms the direct sum of a list of matrices |
mat.Vpred
|
Forms the variance matrix of predictions |
mat.Vpredicts
|
Forms the variance matrix of predictions, |
based on supplied matrices or formulae. | |
Zncsspline
|
Forms the design matrix for fitting the |
random effects for a natural cubic smoothing | |
spline. | |
(vi) Projector and canonical efficiency functions | |
Projector class: | |
Create projectors | |
projector-class
|
Class projector |
is.projector
|
Tests whether an object is a valid object of |
class projector | |
print.projector
|
Print projectors |
correct.degfree
|
Check the degrees of freedom in an object of |
class projector | |
degfree
|
Degrees of freedom extraction and replacement |
Accepts two or more formulae: | |
An anatomy of a design, obtained from | |
a canonical analysis of the relationships | |
between sets of projectors. |
summary.pcanon
|
Summarizes the anatomy of a design, being the | |
decomposition of the sample space based on its | |
canonical analysis |
print.summary.pcanon
|
Prints the values in an 'summary.pcanon' object |
efficiencies.pcanon
|
Extracts the canonical efficiency factors from a | |
list of class 'pcanon' | |
Accepts exactly two formulae: | |
A canonical analysis of the relationships between | |
two sets of projectors | |
projs.combine.p2canon
|
Extract, from a p2canon object, the projectors |
summary.p2canon
|
A summary of the results of an analysis of |
the relationships between two sets of projectors | |
print.summary.p2canon
|
Prints the values in an 'summary.p2canon' object |
that give the combined decomposition | |
efficiencies.p2canon
|
Extracts the canonical efficiency factors from |
a list of class 'p2canon' | |
Accepts a single formula: | |
Coerces a pstructure.object to a data.frame |
print.pstructure
|
Prints a pstructure.object |
pstructure.formula
|
Takes a formula and constructs a pstructure.object | |
that includes the orthogonalized projectors for the | |
terms in a formula | Others: |
Examines the relationship between the | |
eigenvectors for two decompositions |
efficiency.criteria
|
Computes efficiency criteria from a set of | |
efficiency factors |
fac.meanop
|
Computes the projection matrix that produces means |
proj2.eigen
|
Canonical efficiency factors and eigenvectors | |
in joint decomposition of two projectors |
proj2.efficiency
|
Computes the canonical efficiency factors for | |
the joint decomposition of two projectors |
proj2.combine
|
Compute the projection and Residual operators | |
for two, possibly nonorthogonal, projectors |
show-methods
|
Methods for Function 'show' in Package dae | |
(vii) Miscellaneous functions | |
Expands the values in table to a vector | |
get.daeTolerance
|
Gets the value of daeTolerance for the package dae |
harmonic.mean
|
Calcuates the harmonic mean. |
is.allzero
|
Tests whether all elements are approximately zero |
rmvnorm
|
Generates a vector of random values from a |
multivariate normal distribution | |
set.daeTolerance
|
Sets the value of daeTolerance for the package dae |