dae
Randomly generated set of values indexed by three factors
Data for a balanced incomplete block experiment
Check the degrees of freedom in an object of class projector
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.
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
Systematic, main-plot design for an experiment to be run in a greenhouse
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
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
Coerces a pstructure.object to a data.frame.
Calculates the average variance of pairwise differences from the variance matrix
for predictions that can be obtained using mat.Vpredicts
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
A Lattice square design for 49 treatments
Examines the relationship between the eigenvectors for two decompositions
Description of a pcanon 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.
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
Gets the value of daeTolerance for the package dae
Forms the direct sum of a list of matrices
Extract, from a p2canon object, the projectors that give the combined
canonical decomposition
Forms an ar2 correlation matrix
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
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
. 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 projectors
This function plots a block boundary on a plot produced by designPlot
. Forms an sar correlation matrix
Prints the values in an summary.p2canon
object Prints a pstructure.object
Compute the projection and Residual operators for two, possibly
nonorthogonal, projectors
Plots labels on a two-way grid using ggplot2
Computes the canonical efficiency factors for the joint decomposition of
two projectors
Prints the values in an summary.pcanon
object 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
Class projector
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.