| Functions Useful in the Design and ANOVA of Experiments | dae-package dae |
| Randomly generated set of values indexed by three factors | ABC.Interact.dat |
| Coerces a pstructure.object to a data.frame. | as.data.frame.pstructure |
| Convert a factor to a numeric vector, possibly centering or scaling the values | as.numfac |
| Data for a balanced incomplete block experiment | BIBDWheat.dat |
| This function plots a block boundary on a plot produced by 'designPlot'. | blockboundaryPlot |
| A design for one of the growth cabinets in an experiment with 50 lines and 4 harvests | Cabinet1.des |
| Data for an experiment with rows and columns from Williams (2002) | Casuarina.dat |
| Check the degrees of freedom in an object of class projector | correct.degfree |
| Deprecated Functions in Package dae | Ameasures blockboundary.plot dae-deprecated design.plot proj2.decomp proj2.ops projs.canon projs.structure |
| The intermittent, randomly-presented, startup tips. | daeTips |
| Examines the relationship between the eigenvectors for two decompositions | decomp.relate |
| Degrees of freedom extraction and replacement | degfree degfree<- |
| Calculates the average variance of pairwise differences from the variance matrix for predictions | designAmeasures |
| 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. | designAnatomy |
| Adds block boundaries to a plot produced by 'designGGPlot'. | designBlocksGGPlot |
| Plots labels on two-way grids of coloured cells using 'ggplot2' to represent an experimental design | designGGPlot |
| Generate a systematic plan for a Latin Square design | designLatinSqrSys |
| A graphical representation of an experimental design using labels stored in a matrix. | designPlot |
| Plots labels on a two-way grid using 'ggplot2' | designPlotlabels |
| Randomize allocated to recipient factors to produce a layout for an experiment | designRandomize |
| 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. | designTwophaseAnatomies |
| Computes the detectable difference for an experiment | detect.diff |
| Extracts the canonical efficiency factors from a 'pcanon.object' or a 'p2canon.object'. | efficiencies efficiencies.p2canon efficiencies.pcanon |
| Computes efficiency criteria from a set of efficiency factors | efficiency.criteria |
| Extract the elements of an array specified by the subscripts | elements |
| Systematic, main-unit design for an experiment to be run in a greenhouse | Exp249.munit.des |
| Expands the values in table to a vector | extab |
| forms the ar1 correlation matrix for a (generalized) factor | fac.ar1mat |
| Combines several factors into one | fac.combine |
| Divides a factor into several separate factors | fac.divide |
| Generate all combinations of several factors and, optionally, replicate them | fac.gen |
| Generate all combinations of the levels of the supplied factors, without replication | fac.genfactors |
| Match, for each combination of a set of columns in 'x', the row that has the same combination in 'table' | fac.match |
| computes the projection matrix that produces means | fac.meanop |
| 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.multinested |
| creates a factor, the nested factor, whose values are generated within those of the factor nesting.fac | fac.nested |
| 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.recast |
| Recodes factor 'levels' using values in a vector. The values in the vector do not have to be unique. | fac.recode |
| Splits a factor whose levels consist of several delimited strings into several factors | fac.split |
| computes the summation matrix that produces sums corresponding to a (generalized) factor | fac.sumop |
| Cleaves a single factor, each of whose levels has delimited strings, into several factors using the separated strings. | fac.uncombine |
| Forms a two-level 'factor' from a 'logical' object. | fac.uselogical |
| forms the variance matrix for the variance component of a (generalized) factor | fac.vcmat |
| Data for a 2^4 factorial experiment | Fac4Proc.dat |
| Extract the fitted values for a fitted model from an aovlist object | fitted fitted.aovlist |
| Extract the fitted values for a fitted model | fitted.errors |
| Gets the value of daeRNGkind for the package dae from the daeEnv environment | get.daeRNGkind |
| Gets the value of daeTolerance for the package dae | get.daeTolerance |
| Calcuates the harmonic mean. | harmonic.mean |
| Plots an interaction plot for three factors | interaction.ABC.plot |
| Tests whether all elements are approximately zero | is.allzero |
| Tests whether an object is a valid object of class projector | is.projector |
| A Lattice square design for 49 treatments | LatticeSquare_t49.des |
| Extracts the marginality matrix (matrices) from a 'pstructure.object' or a 'pcanon.object'. | marginality marginality.pcanon marginality.pstructure |
| Forms an ar1 correlation matrix | mat.ar1 |
| Forms an ar2 correlation matrix | mat.ar2 |
| Forms an ar3 correlation matrix | mat.ar3 |
| Forms an arma correlation matrix | mat.arma |
| Form a banded matrix from a vector of values | mat.banded |
| Forms a correlation matrix in which all correlations have the same value. | mat.cor |
| Forms a general correlation matrix | mat.corg |
| Forms the direct product of two matrices | mat.dirprod |
| Forms the direct sum of a list of matrices | mat.dirsum |
| Forms an exponential correlation matrix | mat.exp |
| Forms an exponential correlation matrix | mat.gau |
| Computes the generalized inverse of a matrix | mat.ginv |
| Forms a unit matrix | mat.I |
| Forms a square matrix of ones | mat.J |
| Forms an ma1 correlation matrix | mat.ma1 |
| Forms an ma2 correlation matrix | mat.ma2 |
| Calculates the variance matrix of the random effects for a natural cubic smoothing spline | mat.ncssvar |
| Calculates the variance matrix for the random effects from a mixed model, based on a supplied formula or a matrix. | mat.random |
| Forms an sar correlation matrix | mat.sar |
| Forms an sar2 correlation matrix | mat.sar2 |
| Calculates the variances of a set of predicted effects from a mixed model | mat.Vpred |
| Calculates the variances of a set of predicted effects from a mixed model, based on supplied matrices or formulae. | mat.Vpredicts |
| The design and data from McIntyre's (1955) two-phase experiment | McIntyreTMV.dat |
| computes the projection matrix that produces means | meanop |
| Converts the first two levels of a factor into the numeric values -1 and +1 | mpone |
| Computes the number of replicates for an experiment | no.reps |
| Data for an experiment to investigate nitrogen response of 3 oats varieties | Oats.dat |
| Description of a p2canon object | p2canon.object |
| Description of a pcanon object | 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. | porthogonalize porthogonalize.list |
| Computes the power for an experiment | power.exp |
| Print an aliasing data.frame | print.aliasing |
| Print projectors | print,projector-method print.projector |
| Prints a pstructure.object | print.pstructure |
| Prints the values in an 'summary.p2canon' object | print.summary.p2canon |
| Prints the values in an 'summary.pcanon' object | print.summary.pcanon |
| Compute the projection and Residual operators for two, possibly nonorthogonal, projectors | proj2.combine |
| Computes the canonical efficiency factors for the joint decomposition of two projectors | proj2.efficiency |
| Canonical efficiency factors and eigenvectors in joint decomposition of two projectors | proj2.eigen |
| Create projectors | projector |
| Class projector | coerce,projector,matrix-method coerce<-,projector,matrix-method projector-class |
| A canonical analysis of the relationships between two sets of projectors | projs.2canon |
| Extract, from a p2canon object, the projectors that give the combined canonical decomposition | projs.combine.p2canon |
| Takes a formula and constructs a 'pstructure.object' that includes the orthogonalized projectors for the terms in a formula | pstructure pstructure.formula |
| Description of a pstructure object | pstructure.object |
| Half or full normal plot of Yates effects | qqyeffects |
| Replicate the rows of a data.frame by repeating each row consecutively and/or repeating all rows as a group | rep.data.frame |
| Extract the residuals for a fitted model | resid.errors |
| Extract the residuals from an aovlist object | residuals residuals.aovlist |
| generates a vector of random values from a multivariate normal distribution | rmvnorm |
| Data for the three-phase sensory evaluation experiment in Brien, C.J. and Payne, R.W. (1999) | Sensory3Phase.dat Sensory3PhaseShort.dat |
| Sets the values of daeRNGkind for the package dae in the daeEnv environment | set.daeRNGkind |
| Sets the values of daeTolerance for the package dae | set.daeTolerance |
| Methods for Function show in Package dae | show,ANY-method show,classRepresentation-method show,genericFunction-method show,MethodDefinition-method show,MethodSelectionReport-method show,MethodWithNext-method show,ObjectsWithPackage-method show,oldClass-method show,projector-method show,signature-method show,traceable-method show-methods |
| Data for an experiment to investigate the effects of grazing patterns on pasture composition | SPLGrass.dat |
| Generate paper strength values | strength |
| Summarize a canonical analysis of the relationships between two sets of projectors | summary,p2canon-method summary.p2canon |
| Summarizes the anatomy of a design, being the decomposition of the sample space based on its canonical analysis, as produced by designAnatomy | summary,pcanon-method summary.pcanon |
| Performs Tukey's one-degree-of-freedom-test-for-nonadditivity | tukey.1df |
| Extract Yates effects | yates.effects |
| Calculates the design matrix for fitting the random component of a natural cubic smoothing spline | Zncsspline |
