| dae |
Functions Useful in the Design and ANOVA of Experiments |
| dae-deprecated |
Deprecated Functions in Package dae |
| daeTips |
The intermittent, randomly-presented, startup tips. |
| decomp.relate |
Examines the relationship between the eigenvectors for two decompositions |
| degfree |
Degrees of freedom extraction and replacement |
| degfree<- |
Degrees of freedom extraction and replacement |
| design.plot |
Deprecated Functions in Package dae |
| designAmeasures |
Calculates the average variance of pairwise differences from the variance matrix for predictions |
| 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. |
| designBlocksGGPlot |
Adds block boundaries to a plot produced by 'designGGPlot'. |
| designGGPlot |
Plots labels on two-way grids of coloured cells using 'ggplot2' to represent an experimental 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. |
| designPlotlabels |
Plots labels on a two-way grid using 'ggplot2' |
| designRandomize |
Randomize allocated to recipient factors to produce a layout for an experiment |
| designTwophaseAnatomies |
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. |
| detect.diff |
Computes the detectable difference for an experiment |
| fac.ar1mat |
forms the ar1 correlation matrix for a (generalized) factor |
| fac.combine |
Combines several factors into one |
| fac.divide |
Divides a factor into several separate factors |
| fac.gen |
Generate all combinations of several factors and, optionally, replicate them |
| fac.genfactors |
Generate all combinations of the levels of the supplied factors, without replication |
| fac.match |
Match, for each combination of a set of columns in 'x', the row that has the same combination in 'table' |
| fac.meanop |
computes the projection matrix that produces means |
| fac.multinested |
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. |
| fac.nested |
creates a factor, the nested factor, whose values are generated within those of the factor nesting.fac |
| fac.recast |
Recasts a factor by modifying the values in the factor vector and/or the levels attribute, possibly combining some levels into a single level. |
| fac.recode |
Recodes factor 'levels' using values in a vector. The values in the vector do not have to be unique. |
| fac.split |
Splits a factor whose levels consist of several delimited strings into several factors |
| fac.sumop |
computes the summation matrix that produces sums corresponding to a (generalized) factor |
| fac.uncombine |
Cleaves a single factor, each of whose levels has delimited strings, into several factors using the separated strings. |
| fac.uselogical |
Forms a two-level 'factor' from a 'logical' object. |
| fac.vcmat |
forms the variance matrix for the variance component of a (generalized) factor |
| Fac4Proc.dat |
Data for a 2^4 factorial experiment |
| fitted |
Extract the fitted values for a fitted model from an aovlist object |
| fitted.aovlist |
Extract the fitted values for a fitted model from an aovlist object |
| fitted.errors |
Extract the fitted values for a fitted model |
| marginality |
Extracts the marginality matrix (matrices) from a 'pstructure.object' or a 'pcanon.object'. |
| marginality.pcanon |
Extracts the marginality matrix (matrices) from a 'pstructure.object' or a 'pcanon.object'. |
| marginality.pstructure |
Extracts the marginality matrix (matrices) from a 'pstructure.object' or a 'pcanon.object'. |
| 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 |
Form a banded matrix from a vector of values |
| mat.cor |
Forms a correlation matrix in which all correlations have the same value. |
| mat.corg |
Forms a general correlation matrix |
| mat.dirprod |
Forms the direct product of two matrices |
| mat.dirsum |
Forms the direct sum of a list of matrices |
| mat.exp |
Forms an exponential correlation matrix |
| mat.gau |
Forms an exponential correlation matrix |
| mat.ginv |
Computes the generalized inverse of a matrix |
| mat.I |
Forms a unit matrix |
| mat.J |
Forms a square matrix of ones |
| mat.ma1 |
Forms an ma1 correlation matrix |
| mat.ma2 |
Forms an ma2 correlation matrix |
| mat.ncssvar |
Calculates the variance matrix of the random effects for a natural cubic smoothing spline |
| mat.random |
Calculates the variance matrix for the random effects from a mixed model, based on a supplied formula or a matrix. |
| mat.sar |
Forms an sar correlation matrix |
| mat.sar2 |
Forms an sar2 correlation matrix |
| mat.Vpred |
Calculates the variances of a set of predicted effects from a mixed model |
| mat.Vpredicts |
Calculates the variances of a set of predicted effects from a mixed model, based on supplied matrices or formulae. |
| McIntyreTMV.dat |
The design and data from McIntyre's (1955) two-phase experiment |
| meanop |
computes the projection matrix that produces means |
| mpone |
Converts the first two levels of a factor into the numeric values -1 and +1 |
| p2canon.object |
Description of a p2canon object |
| pcanon.object |
Description of a pcanon object |
| porthogonalize |
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. |
| porthogonalize.list |
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. |
| power.exp |
Computes the power for an experiment |
| print-method |
Print projectors |
| print.aliasing |
Print an aliasing data.frame |
| print.projector |
Print projectors |
| print.pstructure |
Prints a pstructure.object |
| print.summary.p2canon |
Prints the values in an 'summary.p2canon' object |
| print.summary.pcanon |
Prints the values in an 'summary.pcanon' object |
| proj2.combine |
Compute the projection and Residual operators for two, possibly nonorthogonal, projectors |
| proj2.decomp |
Deprecated Functions in Package dae |
| proj2.efficiency |
Computes the canonical efficiency factors for the joint decomposition of two projectors |
| proj2.eigen |
Canonical efficiency factors and eigenvectors in joint decomposition of two projectors |
| proj2.ops |
Deprecated Functions in Package dae |
| projector |
Create projectors |
| projector-class |
Class projector |
| projs.2canon |
A canonical analysis of the relationships between two sets of projectors |
| projs.canon |
Deprecated Functions in Package dae |
| projs.combine.p2canon |
Extract, from a p2canon object, the projectors that give the combined canonical decomposition |
| projs.structure |
Deprecated Functions in Package dae |
| pstructure |
Takes a formula and constructs a 'pstructure.object' that includes the orthogonalized projectors for the terms in a formula |
| pstructure.formula |
Takes a formula and constructs a 'pstructure.object' that includes the orthogonalized projectors for the terms in a formula |
| pstructure.object |
Description of a pstructure object |
| Sensory3Phase.dat |
Data for the three-phase 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) |
| set.daeTolerance |
Sets the values of daeTolerance for the package dae |
| show-method |
Methods for Function show in Package dae |
| show-methods |
Methods for Function show in Package dae |
| SPLGrass.dat |
Data for an experiment to investigate the effects of grazing patterns on pasture composition |
| strength |
Generate paper strength values |
| summary-method |
Summarize a canonical analysis of the relationships between two sets of projectors |
| summary-method |
Summarizes the anatomy of a design, being the decomposition of the sample space based on its canonical analysis, as produced by designAnatomy |
| summary.p2canon |
Summarize a canonical analysis of the relationships between two sets of projectors |
| summary.pcanon |
Summarizes the anatomy of a design, being the decomposition of the sample space based on its canonical analysis, as produced by designAnatomy |
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