A B C D E F G H I L M N O P Q R S T Y Z

dae-package | Functions Useful in the Design and ANOVA of Experiments |

ABC.Interact.dat | Randomly generated set of values indexed by three factors |

Ameasures | Deprecated Functions in Package dae |

as.data.frame.pstructure | Coerces a pstructure.object to a data.frame. |

as.numfac | Convert a factor to a numeric vector |

BIBDWheat.dat | Data for a balanced incomplete block experiment |

blockboundary.plot | Deprecated Functions in Package dae |

blockboundaryPlot | This function plots a block boundary on a plot produced by 'designPlot'. |

Cabinet1.des | A design for one of the growth cabinets in an experiment with 50 lines and 4 harvests |

Casuarina.dat | Data for an experiment with rows and columns from Williams (2002) |

coerce-method | Class projector |

coerce<--method | Class projector |

correct.degfree | Check the degrees of freedom in an object of class projector |

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' |

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 |

efficiencies | Extracts the canonical efficiency factors from a 'pcanon.object' or a 'p2canon.object'. |

efficiencies.p2canon | Extracts the canonical efficiency factors from a 'pcanon.object' or a 'p2canon.object'. |

efficiencies.pcanon | Extracts the canonical efficiency factors from a 'pcanon.object' or a 'p2canon.object'. |

efficiency.criteria | Computes efficiency criteria from a set of efficiency factors |

elements | Extract the elements of an array specified by the subscripts |

Exp249.munit.des | Systematic, main-unit design for an experiment to be run in a greenhouse |

extab | Expands the values in table to a vector |

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 individual factors |

fac.gen | Generate all combinations of several factors and, optionally, replicate them |

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.recode | Recodes factor 'levels' using values in a vector. The values in the vector do not have to be unique. |

fac.sumop | computes the summation matrix that produces sums corresponding to a (generalized) factor |

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 |

get.daeTolerance | Gets the value of daeTolerance for the package dae |

harmonic.mean | Calcuates the harmonic mean. |

interaction.ABC.plot | Plots an interaction plot for three factors |

is.allzero | Tests whether all elements are approximately zero |

is.projector | Tests whether an object is a valid object of class projector |

LatticeSquare_t49.des | A Lattice square design for 49 treatments |

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.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.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 |

no.reps | Computes the number of replicates for an experiment |

Oats.dat | Data for an experiment to investigate nitrogen response of 3 oats varieties |

p2canon.object | Description of a p2canon object |

pcanon.object | Description of a pcanon object |

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 |

qqyeffects | Half or full normal plot of Yates effects |

rep.data.frame | Replicate the rows of a data.frame by repeating each row consecutively and/or repeating all rows as a group |

resid.errors | Extract the residuals for a fitted model |

residuals | Extract the residuals from an aovlist object |

residuals.aovlist | Extract the residuals from an aovlist object |

rmvnorm | generates a vector of random values from a multivariate normal distribution |

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 |

tukey.1df | Performs Tukey's one-degree-of-freedom-test-for-nonadditivity |

yates.effects | Extract Yates effects |

Zncsspline | Calculates the design matrix for fitting the random component of a natural cubic smoothing spline |