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' 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 |
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 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 |
get.daeRNGkind | Gets the value of daeRNGkind for the package dae from the daeEnv environment |
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.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 |
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 |
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 |
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.daeRNGkind | Sets the values of daeRNGkind for the package dae in the daeEnv environment |
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 |