Data for the three-phase sensory evaluation experiment in Brien, C.J. and Payne,
R.W. (1999)
Deprecated Functions in Package dae
tools:::Rd_package_title("dae")
Calculates the design matrix for fitting the random component of a natural
cubic smoothing spline
The intermittent, randomly-presented, startup tips.
Check the degrees of freedom in an object of class projector
Examines the relationship between the eigenvectors for two decompositions
Coerces a pstructure.object to a data.frame.
Convert a factor to a numeric vector
This function plots a block boundary on a plot produced by designPlot
.
Calculates the average variance of pairwise differences from the variance matrix
for predictions
Degrees of freedom extraction and replacement
Adds block boundaries to a plot produced by designGGPlot
.
Plots labels on two-way grids of coloured cells using ggplot2
to represent an experimental design
Plots labels on a two-way grid using ggplot2
Generate a systematic plan for a Latin Square design
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.
A graphical representation of an experimental design using labels stored in a matrix.
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.
Randomize allocated to recipient factors to produce a layout for an experiment
Computes the detectable difference for an experiment
Divides a factor into several separate factors
Expands the values in table to a vector
Combines several factors into one
Generate all combinations of several factors and, optionally, replicate them
Extracts the canonical efficiency factors from a pcanon.object
or a p2canon.object
.
Computes efficiency criteria from a set of efficiency factors
forms the ar1 correlation matrix for a (generalized) factor
Generate all combinations of the levels of the supplied factors, without replication
Splits a factor whose levels consist of several delimited strings into several factors
Extract the elements of an array specified by the subscripts
Creates several factors, one for each level of nesting.fac and each of whose values are either generated within those of a level of nesting.fac or using the values of nested.fac within a levels of nesting.fac.
creates a factor, the nested factor, whose values are generated within those of the factor
nesting.fac
computes the summation matrix that produces sums corresponding to a (generalized) factor
Recasts a factor by modifying the values in the factor vector and/or the levels attribute, possibly combining some levels into a single level.
Cleaves a single factor, each of whose levels has delimited strings, into several
factors using the separated strings.
Forms a two-level factor
from a logical
object. forms the variance matrix for the variance component of a (generalized) factor
Calcuates the harmonic mean.
Recodes factor levels
using values in a vector. The values in the vector do
not have to be unique.
Extract the fitted values for a fitted model
Extracts the marginality matrix (matrices) from a pstructure.object
or a pcanon.object
.
Match, for each combination of a set of columns in x
, the row that has the same combination in table
Forms the direct product of two matrices
Forms a unit matrix
computes the projection matrix that produces means
Plots an interaction plot for three factors
Forms the direct sum of a list of matrices
Forms a correlation matrix in which all correlations have the same value.
Gets the value of daeTolerance for the package dae
Forms an arma correlation matrix
Forms an ar2 correlation matrix
Form a banded matrix from a vector of values
generates a vector of random values from a multivariate normal distribution
Tests whether all elements are approximately zero
Converts the first two levels of a factor into the numeric values
-1 and +1
Tests whether an object is a valid object of class projector
Sets the values of daeTolerance for the package dae
Extract the fitted values for a fitted model from an aovlist object
Forms a general correlation matrix
Calculates the variances of a set of predicted effects from a mixed model, based on supplied matrices or formulae.
Forms an ma2 correlation matrix
Forms a square matrix of ones
Computes the number of replicates for an experiment
Forms an ar1 correlation matrix
Calculates the variances of a set of predicted effects from a mixed model
Forms an exponential correlation matrix
Computes the generalized inverse of a matrix
Forms an exponential correlation matrix
Forms an ar3 correlation matrix
Calculates the variance matrix of the random effects for a natural
cubic smoothing spline
Forms an ma1 correlation matrix
Description of a p2canon object
Print an aliasing data.frame
Class projector
Calculates the variance matrix for the random effects from a mixed model, based on a supplied formula or a matrix.
Description of a pcanon object
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.
Create projectors
Forms an sar correlation matrix
Forms an sar2 correlation matrix
Computes the power for an experiment
computes the projection matrix that produces means
A canonical analysis of the relationships between two sets of projectors
Print projectors
Prints the values in an summary.pcanon
object
Compute the projection and Residual operators for two, possibly
nonorthogonal, projectors
Extract, from a p2canon object, the projectors that give the combined
canonical decomposition
Methods for Function show in Package dae
Computes the canonical efficiency factors for the joint decomposition of
two projectors
Half or full normal plot of Yates effects
Performs Tukey's one-degree-of-freedom-test-for-nonadditivity
Extract Yates effects
Generate paper strength values
Prints a pstructure.object
Summarize a canonical analysis of the relationships between two sets of projectors
Summarizes the anatomy of a design, being the decomposition of the sample space based on its
canonical analysis, as produced by designAnatomy
Prints the values in an summary.p2canon
object
Canonical efficiency factors and eigenvectors in joint decomposition of two projectors
Extract the residuals for a fitted model
Takes a formula and constructs a pstructure.object
that includes the orthogonalized projectors for the terms in a formula
Replicate the rows of a data.frame by repeating each row consecutively and/or repeating all rows as a group
Description of a pstructure object
Extract the residuals from an aovlist object
Systematic, main-unit design for an experiment to be run in a greenhouse
Data for an experiment to investigate the effects of grazing patterns on
pasture composition
A design for one of the growth cabinets in an experiment with 50 lines and 4 harvests
Data for a 2^4 factorial experiment
Data for a balanced incomplete block experiment
Randomly generated set of values indexed by three factors
The design and data from McIntyre's (1955) two-phase experiment
Data for an experiment to investigate nitrogen response of 3 oats varieties
Data for an experiment with rows and columns from Williams (2002)
A Lattice square design for 49 treatments