Functions Useful in the Design and ANOVA of Experiments
Coerces a pstructure.object to a data.frame.
Convert a factor to a numeric vector, possibly centering or scaling th...
This function plots a block boundary on a plot produced by `designPlot...
Check the degrees of freedom in an object of class projector
Deprecated Functions in Package dae
tools:::Rd_package_title("dae")
The intermittent, randomly-presented, startup tips.
Examines the relationship between the eigenvectors for two decompositi...
Degrees of freedom extraction and replacement
Calculates the average variance of pairwise differences from the varia...
Given the layout for a design, obtain its anatomy via the canonical an...
Adds block boundaries to a plot produced by designGGPlot.
Plots labels on two-way grids of coloured cells using ggplot2 to rep...
Generate a systematic plan for a Latin Square design
A graphical representation of an experimental design using labels stor...
Plots labels on a two-way grid using ggplot2
Randomize allocated to recipient factors to produce a layout for an ex...
Given the layout for a design and three structure formulae, obtain the...
Computes the detectable difference for an experiment
Extracts the canonical efficiency factors from a pcanon.object or a ...
Computes efficiency criteria from a set of efficiency factors
Extract the elements of an array specified by the subscripts
Expands the values in table to a vector
forms the ar1 correlation matrix for a (generalized) factor
Combines several factors into one
Divides a factor into several separate factors
Generate all combinations of several factors and, optionally, replicat...
Generate all combinations of the levels of the supplied factors, witho...
Match, for each combination of a set of columns in x, the row that h...
computes the projection matrix that produces means
Creates several factors, one for each level of the nesting factor and ...
creates a factor, the nested factor, whose values are generated within...
Recasts a factor by modifying the values in the factor vector and/or t...
Recodes factor levels using values in a vector. The values in the ve...
Splits a factor whose levels consist of several delimited strings into...
computes the summation matrix that produces sums corresponding to a (g...
Cleaves a single factor, each of whose levels has delimited strings, i...
Forms a two-level factor from a logical object.
forms the variance matrix for the variance component of a (generalized...
Extract the fitted values for a fitted model from an aovlist object
Extract the fitted values for a fitted model
Gets the value of daeRNGkind for the package dae from the daeEnv envir...
Gets the value of daeTolerance for the package dae
Calcuates the harmonic mean.
Plots an interaction plot for three factors
Tests whether all elements are approximately zero
Tests whether an object is a valid object of class projector
Extracts the marginality matrix (matrices) from a pstructure.object ...
Forms an ar1 correlation matrix
Forms an ar2 correlation matrix
Forms an ar3 correlation matrix
Forms an arma correlation matrix
Form a banded matrix from a vector of values
Forms a correlation matrix in which all correlations have the same val...
Forms a general correlation matrix
Forms the direct product of two matrices
Forms the direct sum of a list of matrices
Forms an exponential correlation matrix
Forms an exponential correlation matrix
Computes the generalized inverse of a matrix
Forms a unit matrix
Forms a square matrix of ones
Forms an ma1 correlation matrix
Forms an ma2 correlation matrix
Calculates the variance matrix of the random effects for a natural cub...
Calculates the variance matrix for the random effects from a mixed mod...
Forms an sar correlation matrix
Forms an sar2 correlation matrix
Calculates the variances of a set of predicted effects from a mixed mo...
Calculates the variances of a set of predicted effects from a mixed mo...
computes the projection matrix that produces means
Converts the first two levels of a factor into the numeric values -1 a...
Computes the number of replicates for an experiment
Description of a p2canon object
Description of a pcanon object
Takes a list of projectors and constructs a pstructure.object that...
Computes the power for an experiment
Print an aliasing data.frame
Print projectors
Prints a pstructure.object
Prints the values in an summary.p2canon object
Prints the values in an summary.pcanon object
Compute the projection and Residual operators for two, possibly nonort...
Computes the canonical efficiency factors for the joint decomposition ...
Canonical efficiency factors and eigenvectors in joint decomposition o...
Class projector
Create projectors
A canonical analysis of the relationships between two sets of projecto...
Extract, from a p2canon object, the projectors that give the combined ...
Takes a formula and constructs a pstructure.object that includes the...
Description of a pstructure object
Half or full normal plot of Yates effects
Replicate the rows of a data.frame by repeating each row consecutively...
Extract the residuals for a fitted model
Extract the residuals from an aovlist object
generates a vector of random values from a multivariate normal distrib...
Sets the values of daeRNGkind for the package dae in the daeEnv enviro...
Sets the values of daeTolerance for the package dae
Methods for Function show in Package dae
Generate paper strength values
Summarize a canonical analysis of the relationships between two sets o...
Summarizes the anatomy of a design, being the decomposition of the sam...
Performs Tukey's one-degree-of-freedom-test-for-nonadditivity
Extract Yates effects
Calculates the design matrix for fitting the random component of a nat...
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 <http://chris.brien.name/rpackages/>.