A Lattice square design for 49 treatments
Data for an experiment to investigate nitrogen response of 3 oats varieties
The design and data from McIntyre's (1955) two-phase experiment
Systematic, main-unit design for an experiment to be run in a greenhouse
Deprecated Functions in Package dae
Data for a balanced incomplete block experiment
Data for a 2^4 factorial experiment
dae
Convert a factor to a numeric vector
Calculates the design matrix for fitting the random component of a natural
cubic smoothing spline
A graphical representation of an experimental design using labels stored in a matrix.
Data for the three-phase sensory evaluation experiment in Brien, C.J. and Payne,
R.W. (1999)
Coerces a pstructure.object to a data.frame.
Randomize allocated to recipient factors to produce a layout for an experiment
Plots labels on a two-way grid using ggplot2
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.
Combines several factors into one
Divides a factor into several individual factors
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.
This function plots a block boundary on a plot produced by designPlot Data for an experiment with rows and columns from Williams (2002)
Data for an experiment to investigate the effects of grazing patterns on
pasture composition
Adds block boundaries to a plot produced by designGGPlot forms the variance matrix for the variance component of a (generalized) factor
Expands the values in table to a vector
The intermittent, randomly-presented, startup tips.
Plots labels on two-way grids of coloured cells using ggplot2
Extract the fitted values for a fitted model from an aovlist object
Degrees of freedom extraction and replacement
Examines the relationship between the eigenvectors for two decompositions
Forms an ar1 correlation matrix
Generate a systematic plan for a Latin Square design
Computes the detectable difference for an experiment
Check the degrees of freedom in an object of class projector
Calculates the average variance of pairwise differences from the variance matrix
for predictions that can be obtained using mat.Vpredicts
Match, for each combination of a set of columns in x, the row that has the same combination in table
Calculates the variances of a set of predicted effects from a mixed model, based on supplied matrices or formulae.
Extracts the canonical efficiency factors from a pcanon.object p2canon.object Forms a square matrix of ones
Computes efficiency criteria from a set of efficiency factors
creates a factor, the nested factor, whose values are generated within those of the factor
nesting.fac
Generate all combinations of several factors and, optionally, replicate them
Extract the elements of an array specified by the subscripts
Extract the fitted values for a fitted model
Tests whether all elements are approximately zero
computes the projection matrix that produces means
Plots an interaction plot for three factors
computes the summation matrix that produces sums corresponding to a (generalized) factor
Calcuates the harmonic mean.
Forms an exponential correlation matrix
Forms a two-level factor logical forms the ar1 correlation matrix for a (generalized) factor
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.
Recodes factor levels using values in a vector. The values in the vector do
not have to be unique.
Gets the value of daeTolerance for the package dae
Forms an arma correlation matrix
Forms the direct product of two matrices
Calculates the variances of a set of predicted effects from a mixed model
Forms the direct sum of a list of matrices
Tests whether an object is a valid object of class projector
Forms an ma1 correlation matrix
Description of a p2canon object
Form a banded matrix from a vector of values
Extracts the marginality matrix (matrices) from a pstructure.object pcanon.object Forms a unit matrix
Description of a pcanon object
Calculates the variance matrix of the random effects for a natural
cubic smoothing spline
Prints the values in an summary.p2canon Forms an exponential correlation matrix
Forms an ar2 correlation matrix
Forms an sar correlation matrix
Computes the power for an experiment
Description of a pstructure object
Prints the values in an summary.pcanon Forms an ma2 correlation matrix
Canonical efficiency factors and eigenvectors in joint decomposition of two projectors
Forms an ar3 correlation matrix
Converts the first two levels of a factor into the numeric values
-1 and +1
computes the projection matrix that produces means
Computes the number of replicates for an experiment
Create projectors
Class projector
Half or full normal plot of Yates effects
Computes the canonical efficiency factors for the joint decomposition of
two projectors
Replicate the rows of a data.frame by repeating each row consecutively and/or repeating all rows as a group
Extract the residuals for a fitted model
Forms an sar2 correlation matrix
Extract the residuals from an aovlist object
Extract Yates effects
Print projectors
Prints a pstructure.object
Print an aliasing data.frame
A canonical analysis of the relationships between two sets of projectors
Extract, from a p2canon object, the projectors that give the combined
canonical decomposition
Sets the values of daeTolerance for the package dae
Methods for Function show in Package dae
generates a vector of random values from a multivariate normal distribution
Summarize a canonical analysis of the relationships between two sets of projectors
Compute the projection and Residual operators for two, possibly
nonorthogonal, projectors
Summarizes the anatomy of a design, being the decomposition of the sample space based on its
canonical analysis, as produced by designAnatomy
Takes a formula and constructs a pstructure.object Generate paper strength values
Performs Tukey's one-degree-of-freedom-test-for-nonadditivity
Randomly generated set of values indexed by three factors
A design for one of the growth cabinets in an experiment with 50 lines and 4 harvests