Click a letter to jump to the start of the list of commands starting with this letter. | |||||||||
A | B | C | D | E | F | ||||
G | H | I | J | K | L | ||||
M | N | O | P | Q | R | ||||
S | T | U | V | W | X | ||||
Y |
A
ABIVARIATE
produces graphs and statistics for bivariate analysis of variance.
ABLUPS
calculates BLUPs for block terms in an ANOVA
analysis.
ABOXCOX
estimates the power λ in a Box-Cox transformation, that maximizes the partial log-likelihood in ANOVA
.
ACANONICAL
determines the orthogonal decomposition of the sample space for a design, using an analysis of the canonical relationships between the projectors derived from two or more model formulae.
ACDISPLAY
provides further output from an analysis by ACANONICAL
.
ACHECK
checks assumptions for an ANOVA
analysis.
ACKEEP
saves information from an analysis by ACANONICAL
.
ACONFIDENCE
calculates simultaneous confidence intervals for ANOVA
means.
ADETECTION
calculates the minimum size of effect or contrast detectable in an analysis of variance.
ADJACENTCELLS
finds cells adjacent to other cells in a multi-dimensional array.
ADPOLYNOMIAL
plots single-factor polynomial contrasts fitted by ANOVA
.
ADSPREADSHEET
puts the data and plan of an experimental design into Genstat spreadsheets.
AEFFICIENCY
calculates efficiency factors for experimental designs.
AFALPHA
generates alpha designs.
AFAUGMENTED
forms an augmented design.
AFCARRYOVER
forms factors to represent carry-over effects in cross-over trials.
AFCOVARIATES
defines covariates from a model formula for ANOVA
.
AFCYCLIC
generates block and treatment factors for cyclic designs.
AFDISCREPANCY
calculates the discrepancy of a design.
AFFYMETRIX
estimates expression values for Affymetrix slides.
AFIELDRESIDUALS
display residuals in field layout.
AFLABELS
forms a variate of unit labels for a design.
AFMEANS
forms tables of means classified by ANOVA
treatment factors.
AFNONLINEAR
forms D-optimal designs to estimate the parameters of a nonlinear or generalized linear model.
AFORMS
prints data forms for an experimental design.
AFPREP
searches for an efficient partially-replicated design.
AFRCRESOLVABLE
forms doubly resolvable row-column designs, with output.
AFUNITS
forms a factor to index the units of the final stratum of a design.
AGALPHA
forms alpha designs by standard generators for up to 100 treatments.
AGBIB
generates balanced incomplete block designs.
AGBOXBEHNKEN
generates Box-Behnken designs.
AGCENTRALCOMPOSITE
generates central composite designs.
AGCROSSOVERLATIN
generates Latin squares balanced for carry-over effects.
AGCYCLIC
generates cyclic designs from standard generators.
AGDESIGN
generates generally balanced designs.
AGFACTORIAL
generates minimum aberration block or fractional factorial designs.
AGFRACTION
generates fractional factorial designs.
AGHIERARCHICAL
generates orthogonal hierarchical designs.
AGLATIN
generates mutually orthogonal Latin squares.
AGLOOP
generates loop designs e.g. for time-course microarray experiments.
AGMAINEFFECT
generates designs to estimate main effects of two-level factors.
AGNATURALBLOCK
forms 1- and 2-dimensional designs with blocks of natural size.
AGNEIGHBOUR
generates neighbour-balanced designs.
AGNONORTHOGONALDESIGN
generates non-orthogonal multi-stratum designs.
AGQLATIN
generates complete and quasi-complete Latin squares.
AGRAPH
plots tables of means from ANOVA
.
AGREFERENCE
generates reference-level designs e.g. for microarray experiments.
AGSEMILATIN
generates semi-Latin squares.
AGSPACEFILLINGDESIGN
generates space filling designs.
AGSQLATTICE
generates square lattice designs.
AGYOUDENSQUARE
generates a Youden square.
AKAIKEHISTOGRAM
prints histograms with improved definition of groups.
AKEY
generates values for treatment factors using the design key method.
ALIAS
finds out information about aliased model terms in analysis of variance.
ALIGNCURVE
forms an optimal warping to align an observed series of observations with a standard series.
ALLDIFFERENCES
shows all pairwise differences of values in a variate or table.
ALLPAIRWISE
performs a range of all pairwise multiple comparison tests.
AMCOMPARISON
performs pairwise multiple comparison tests for ANOVA
means.
AMDUNNETT
forms Dunnett’s simultaneous confidence interval around a control.
AMERGE
merges extra units into an experimental design.
AMMI
allows exploratory analysis of genotype × environment interactions.
AMTDISPLAY
displays further output for a multi-tiered design analysed by AMTIER
.
AMTIER
analyses a multi-tiered design with up to 3 structures.
AMTKEEP
saves information from the analysis of a multitiered design by AMTIER
.
ANTMVESTIMATE
estimates missing values in repeated measurements.
ANTORDER
assesses order of ante-dependence for repeated measures data.
ANTTEST
calculates overall tests based on a specified order of ante-dependence.
AN1ADVICE
aims to give useful advice if a design that is thought to be balanced fails to be analysed by ANOVA
.
AONEWAY
performs one-way analysis of variance.
AOVANYHOW
performs analysis of variance using ANOVA
, regression or REML
as appropriate.
AOVDISPLAY
provides further output from an analysis by AOVANYHOW
.
APAPADAKIS
analysis of variance with an added Papadakis covariate, formed from neighbouring residuals.
APERMTEST
does random permutation tests for analysis-of-variance tables.
APLOT
plots residuals from an ANOVA
analysis.
APOLYNOMIAL
forms equations for single-factor polynomial contrasts fitted by ANOVA
.
APOWER
calculates the power (probability of detection) for terms in an aov.
APPEND
appends a list of vectors of compatible types.
APRODUCT
forms a new experimental design from the product of two designs.
ARANDOMIZE
randomizes and prints an experimental design.
ARCSPLITPLOT
adds extra treatments onto the replicates of a resolvable row-column design, and generates factors giving the row and column locations of the plots within the design.
AREPMEASURES
produces an analysis of variance for repeated measurements.
ARESULTSUMMARY
provides a summary of results from an ANOVA
analysis.
ARETRIEVE
retrieves an ANOVA
save structure from an external file.
ASAMPLESIZE
finds the replication to detect a treatment effect or contrast.
ASCREEN
performs screening tests for designs with orthogonal block structure.
ASPREADSHEET
saves results from an analysis of variance in a spreadsheet.
ASTATUS
provides information about the settings of ANOVA
models and variates.
ASTORE
stores an ANOVA
save structure in an external file.
ASWEEP
performs sweeps for model terms in an analysis of variance.
AUDISPLAY
produces further output for an unbalanced design (after AUNBALANCED
).
AUGRAPH
plots tables of means from AUNBALANCED
.
AUKEEP
saves output from analysis of an unbalanced design (by AUNBALANCED
).
AUNBALANCED
performs analysis of variance for unbalanced designs.
AUMCOMPARISON
performs pairwise multiple comparison tests for means from an unbalanced analysis of variance, performed previously by AUNBALANCED
.
AUPREDICT
forms predictions from an unbalanced design (after AUNBALANCED
).
AUSPREADSHEET
saves results from an analysis of an unbalanced design (by AUNBALANCED
) in a spreadsheet.
AU2RDA
saves results from an unbalanced analysis of variance, by AUNBALANCED
, in R data frames.
AYPARALLEL
does the same analysis of variance for several y-variates, and collates the output.
A2DISPLAY
provides further output following an analysis of variance by A2WAY
.
A2KEEP
copies information from an A2WAY
analysis into Genstat data structures.
A2PLOT
plots effects from two-level designs with robust s.e. estimates.
A2RDA
saves results from an analysis of variance in R data frames.
A2RESULTSUMMARY
provides a summary of results from an analysis by A2WAY
.
A2WAY
performs analysis of variance of a balanced or unbalanced design with up to two treatment factors.
A%VARIANCE
calculates the percentage variance and sum of squares accounted for in the strata of an ANOVA
analysis.
B
BACKTRANSFORM
calculates back-transformed means with approximate standard errors and confidence intervals.
BAFFYMETRIX
estimates expression values from an Affymetrix CED and CDF file.
BANK
calculates the optimum aspect ratio for a graph.
BASELINE
estimates a baseline for a series of numbers whose minimum value is drifting.
BBINOMIAL
estimates the parameters of the beta binomial distribution.
BCDISPLAY
displays a classification tree.
BCFDISPLAY
displays information about a random classification forest.
BCFIDENTIFY
identifies specimens using a random classification forest.
BCFOREST
constructs a random classification forest.
BCIDENTIFY
identifies specimens using a classification tree.
BCKEEP
saves information from a classification tree.
BCLASSIFICATION
constructs a classification tree.
BCONSTRUCT
constructs a tree.
BCVALUES
forms values for nodes of a classification tree.
BGIMPORT
imports MCMC output in CODA format produced by WinBUGS or OpenBUGS.
BGPLOT
produces plots for output and diagnostics from MCMC simulations.
BGRAPH
plots a tree.
BGXGENSTAT
runs WinBUGS or OpenBUGS from Genstat in batch mode using scripts.
BINGO
can be used to set up and then play a game of bingo.
BIPLOT
produces a biplot from a set of variates.
BJESTIMATE
fits an ARIMA model, with forecast and residual checks.
BJFORECAST
plots forecasts of a time series using a previously fitted ARIMA.
BJIDENTIFY
displays time series statistics useful for ARIMA model selection.
BKDISPLAY
displays an identification key.
BKEY
constructs an identification key.
BKIDENTIFY
identifies specimens using a key.
BKKEEP
saves information from an identification key.
BLANDALTMAN
produces Bland-Altman plots to assess the agreement between two variates.
BNTEST
calculates one- and two-sample binomial tests.
BOOTSTRAP
produces bootstrapped estimates, standard errors and distributions.
BOXPLOT
draws box-and-whisker diagrams or schematic plots.
BPCONVERT
converts bit patterns between integers, pointers of set bits and textual descriptions.
BPRINT
displays a tree.
BPRUNE
prunes a tree using minimal cost complexity.
BRDISPLAY
displays a regression key.
BREGRESSION
constructs a regression tree.
BRFDISPLAY
displays information about a random regression forest.
BRFOREST
constructs a random regression forest.
BRFPREDICT
makes predictions using a random regression forest.
BRKEEP
saves information from a regression tree.
BRPREDICT
makes predictions using a regression tree.
BRVALUES
forms values for nodes of a regression tree.
C
CABIPLOT
plots results from correspondence analysis or multiple correspondence analysis.
CANCORRELATION
does canonical correlation analysis.
CASSOCIATION
calculates measures of association for circular data.
CATRENDTEST
calculates the Cochran-Armitage chi-square test for trend.
CCA
performs canonical correspondence analysis.
CCOMPARE
tests whether samples from circular distributions have a common mean direction or have identical distributions.
CDESCRIBE
calculates summary statistics and tests of circular data.
CDNAUGMENTEDDESIGN
constructs an augmented block design, using CycDesigN if the controls are in an incomplete-block design.
CDNBLOCKDESIGN
constructs a block design using CycDesigN.
CDNPREP
constructs a multi-location partially-replicated design using CycDesigN.
CDNROWCOLUMNDESIGN
constructs a row-column design using CycDesigN.
CENSOR
pre-processes censored data before analysis by ANOVA
.
CHECKARGUMENT
checks the arguments of a procedure.
CHIPERMTEST
performs a random permutation test for a two-dimensional contingency table.
CHISQUARE
calculates chi-square statistics for one- and two-way tables.
CINTERACTION
clusters rows and columns of a two-way interaction table.
CLASSIFY
obtains a starting classification for non-hierarchical clustering.
CMHTEST
performs the Cochran-Mantel-Haenszel test.
CONCORD
is a synonym for KCONCORDANCE
.
CONFIDENCE
calculates simultaneous confidence intervals.
CONVEXHULL
finds the points of a single or a full peel of convex hulls.
CORANALYSIS
does correspondence analysis, or reciprocal averaging.
CORRESP
is a synonym for CORANALYSIS
.
COVDESIGN
produces experimental designs efficient under analysis of covariance.
CRBIPLOT
plots correlation or distance biplots after RDA
, or ranking biplots after CCA
.
CRTRIPLOT
plots ordination biplots or triplots after CCA
or RDA
.
CSPRO
reads a data set from a CSPro survey data file and dictionary, and loads it into Genstat or puts it into a spreadsheet file.
CUMDISTRIBUTION
fits frequency distributions to accumulated counts.
CVAPLOT
plots the mean and unit scores from a canonical variates analysis.
CVASCORES
calculates scores for individual units in canonical variates analysis.
CVATRELLIS
displays the distribution of groups over 2 dimensions from a CVA
analysis using a trellis of bar or pie charts.
D
DAYLENGTH
calculates daylengths at a given period of the year.
DARROW
adds arrows to an existing plot.
DBARCHART
produces bar charts for one or two-way tables.
DBCOMMAND
runs an SQL command on an ODBC database.
DBEXPORT
updates an ODBC database table using data from Genstat.
DBIMPORT
loads data into Genstat from an ODBC database.
DBINFORMATION
loads information on the tables and columns in an ODBC database.
DBIPLOT
plots a biplot from an analysis by PCP
, CVA
or PCO
.
DCIRCULAR
plots circular data.
DCLUSTERLABELS
labels clusters in a single-page dendrogram plotted by DDENDROGRAM
.
DCOLOURS
forms a band of graduated colours for graphics.
DCOMPOSITIONAL
plots 3-part compositional data within a barycentric triangle.
DCORRELATION
plots a correlation matrix.
DCOVARIOGRAM
plots 2-dimensional auto- and cross-variograms.
DDEEXPORT
sends data or commands to a Dynamic Data Exchange server.
DDEIMPORT
gets data from a Dynamic Data Exchange (DDE) server.
DDENDROGRAM
draws dendrograms with control over structure and style.
DDESIGN
plots the plan of an experimental design.
DECIMALS
sets the number of decimals for a structure, using its round-off.
DELLIPSE
draws a 2-dimensional scatter plot with confidence, prediction and/or equal-frequency ellipses superimposed.
DEMC
performs Bayesian computing using the Differential Evolution Markov Chain algorithm.
DERRORBAR
adds error bars to a graph.
DESCRIBE
saves and/or prints summary statistics for variates.
DESIGN
helps to select and generate effective experimental designs.
DFOURIER
performs a harmonic analysis of a univariate time series.
DFRTEXT
adds text to a graphics frame.
DFUNCTION
plots a function.
DHELP
provides information about Genstat graphics.
DHSCATTERGRAM
plots an h-scattergram.
DIALLEL
analyses full and half diallel tables with parents.
DILUTION
calculates Most Probable Numbers from dilution series data.
DIRECTORY
prints or saves a list of files with names matching a specified mask.
DISCRIMINATE
performs discriminant analysis.
DKALMAN
plots results from an analysis by KALMAN
.
DKEY
adds a key to a graph.
DKSTPLOT
produces diagnostic plots for space-time clustering.
DMADENSITY
plots the empirical CDF or PDF (kernel smoothed) by groups.
DMASS
plots discrete data like mass spectra, discrete probability functions.
DMOSAIC
produces a mosaic plot to display a table of counts.
DMSCATTER
produces a scatter-plot matrix for one or two sets of variables.
DMST
gives a high resolution plot of an ordination with minimum spanning tree.
DOTPLOT
produces a dot-plot using line-printer or high-resolution graphics.
DOTHISTOGRAM
plots dot histograms.
DPARALLEL
displays multivariate data using parallel coordinates.
DPOLYGON
draws polygons using high-resolution graphics.
DPROBABILITY
plots probability distributions, and estimates their parameters.
DPSPECTRALPLOT
calculates an estimate of the spectrum of a spatial point pattern.
DPTMAP
draws maps for spatial point patterns using high-resolution graphics.
DPTREAD
adds points interactively to a spatial point pattern.
DQMAP
displays a genetic map.
DQMKSCORES
plots a grid of marker scores for genotypes and indicates missing data.
DQMQTLSCAN
plots the results of a genome-wide scan for QTL effects in multi-environment trials.
DQRECOMBINATIONS
plots a matrix of recombination frequencies between markers.
DQSQTLSCAN
plots the results of a genome-wide scan for QTL effects in single-environment trials.
DREFERENCELINE
adds reference lines to a graph.
DRESIDUALS
plots residuals.
DREPMEASURES
plots profiles and differences of profiles for repeated measures data.
DRPOLYGON
reads a polygon interactively from the current graphics device.
DSCATTER
produces a scatter-plot matrix using high-resolution graphics.
DSEPARATIONPLOT
creates a separation plot for visualising the fit of a model with a dichotomous (i.e. binary) or polytomous (i.e. multi-categorical) outcome.
DSPIDERWEB
displays spider-web and star plots.
DSTTEST
plots power and significance for t-tests, including equivalence tests.
DTABLE
plots tables.
DTEXT
adds text to a graph.
DTIMEPLOT
produces horizontal bars displaying a continuous time record.
DVARIOGRAM
plots fitted models to an experimental variogram.
DXDENSITY
produces one-dimensional density (or violin) plots.
DXYDENSITY
produces density plots for large data sets.
DXYGRAPH
draws two-dimensional graphs with marginal distribution plots alongside the y- and x-axes.
DYPOLAR
produces polar plots.
D2GROUPS
displays the distribution of groups in a plane using a trellis of bar or pie charts.
E
ECABUNDANCEPLOT
produces rank/abundance, ABC and k-dominance plots.
ECACCUMULATION
plots species accumulation curves for samples or individuals.
ECANOSIM
performs an analysis of similarities (ANOSIM).
ECDIVERSITY
calculates measures of diversity with jackknife or bootstrap estimates.
ECFIT
fits models to species abundance data.
ECNICHE
generates relative abundance of species for niche-based models.
ECNPESTIMATE
calculates nonparametric estimates of species richness.
ECRAREFACTION
calculates individual or sample-based rarefaction.
EDDUNNETT
calculates equivalent deviates for Dunnett’s simultaneous confidence interval around a control.
EDFTEST
performs empirical-distribution-function goodness-of-fit tests.
ELPOISSON
calculates expected values of the lower parts of Poisson distributions.
EUPOISSON
calculates expected values of the upper parts of Poisson distributions.
EXAMPLE
obtains and runs a Genstat example program.
EXPORT
outputs data structures in foreign file formats, including Excel, Quattro, dBase, SPlus, Gauss, MatLab and Instat, or as plain or comma-delimited text.
EXTRABINOMIAL
fits the models of Williams (1982) to overdispersed proportions.
F
FACAMEND
permutes the levels and labels of a factor.
FACCOMBINATIONS
forms a factor to indicate observations with identical combinations of values of a set of variates, texts or factors.
FACDIVIDE
represents a factor by factorial combinations of a set of factors.
FACEXCLUDEUNUSED
redefines the levels and labels of a factor to exclude those that are unused.
FACLEVSTANDARDIZE
standardizes the levels or labels of a list of factors.
FACMERGE
merges levels of factors.
FACPRODUCT
forms a factor with a level for every combination of other factors.
FACSORT
sorts the levels of a factor according to an index vector.
FACUNIQUE
redefines a factor so that its levels and labels are unique.
FALIASTERMS
forms information about aliased model terms in analysis of variance.
FBASICCONTRASTS
breaks a model term down into its basic contrasts.
FBETWEENGROUPVECTORS
forms variates and classifying factors containing within-group summaries to use e.g. in a between-group analysis.
FCOMPLEMENT
forms the complement of an incomplete block design.
FCONTRASTS
modifies a model formula to contain contrasts of factors.
FCORRELATION
forms the correlation matrix for a list of variates.
FDESIGNFILE
forms a backing-store file of information for AGDESIGN
.
FDIALLEL
forms the components of a diallel model for REML
or regression.
FDISTINCTFACTORS
checks sets of factors to remove any that define duplicate classifications.
FDRBONFERRONI
estimates false discovery rates by a Bonferroni-type procedure.
FDRMIXTURE
estimates false discovery rates using mixture distributions.
FEXACT2X2
does Fisher’s exact test for 2×2 tables.
FFRAME
forms multiple windows in a plot-matrix for high-resolution graphics.
FFREERESPONSEFACTOR
forms multiple-response factors from free-response data.
FHADAMARDMATRIX
forms Hadamard matrices.
FHAT
calculates an estimate of the F nearest-neighbour distribution function.
FIELLER
calculates effective doses or relative potencies.
FILEREAD
reads data from a file.
FITINDIVIDUALLY
fits regression models one term at a time.
FITMULTINOMIAL
fits generalized linear models with multinomial distribution.
FITNONNEGATIVE
is a synonym for RNONNEGATIVE
.
FITPARALLEL
is a synonym for RPARALLEL
.
FITSCHNUTE
is a synonym for RSCHNUTE
.
FMEGAENVIRONMENTS
forms mega-environments based on winning genotypes from an AMMI-2 model.
FMFACTORS
forms a pointer of factors representing a multiple-response.
FNCORRELATION
calculates correlations from variances and covariances, together with their variances and covariances.
FNLINEAR
estimates linear functions of random variables, and calculates their variances and covariances.
FNPOWER
estimates products of powers of two random variables, and calculates their variances and covariances.
FOCCURRENCES
counts how often each pair of treatments occurs in the same block.
FPARETOSET
forms the Pareto optimal set of non-dominated groups.
FFPLOTNUMBER
forms plot numbers for a row-by-column design.
FPROJECTIONMATRIX
forms a projection matrix for a set of model terms.
FREGULAR
expands vectors onto a regular two-dimensional grid.
FRESTRICTEDSET
forms vectors with the restricted subset of a list of vectors.
FRIEDMAN
performs Friedman’s non-parametric analysis of variance.
FROWCANONICALMATRIX
puts a matrix into row canonical, or reduced row echelon, form.
FRTPRODUCTDESIGNMATRIX
forms summation, or relationship, matrices for model terms.
FRUITMACHINE
runs a fruit machine using pop-up menus and Genstat graphics.
FSPREADSHEET
creates a Genstat Spreadsheet file (GSH) from specified data structures.
FSTRING
forms a single string from a list of strings in a text.
FTEXT
forms a text structure from a variate.
FUNIQUEVALUES
redefines a variate or text so that its values are unique.
FVCOVARIANCE
forms the variance-covariance matrix for a list of variates.
FVSTRING
forms a string listing the identifiers of a set of data structures.
FWITHINTERMS
forms factors to define terms representing the effects of one factor within another factor.
FZERO
gives the F function expectation under complete spatial randomness.
F2DRESIDUALVARIOGRAM
calculates and plots a 2-dimensional variogram from a 2-dimensional array of residuals.
G
GALOIS
forms addition and multiplication tables for a Galois finite field.
GBGRIDCONVERSION
converts GB grid references to or from latitudes and longitudes or to or from UTM coordinates.
GEE
fits models to longitudinal data by generalized estimating equations.
GENPROCRUSTES
performs a generalized Procrustes analysis.
GESTABILITY
calculates stability coefficients for genotype-by-environment data.
GETNAME
forms the name of a structure according to its IPRINT
attribute.
GETRGB
gets the RGB values of the standard graphics colours.
GETTEMPFOLDER
gets the location of the folder used by Genstat for temporary files.
GGEBIPLOT
plots displays to assess genotype+genotype-by-environment variation.
GHAT
calculates an estimate of the G nearest-neighbour distribution function.
GINVERSE
calculates the generalized inverse of a matrix.
GLDISPLAY
displays further output from a GLMM
analysis.
GLKEEP
saves results from a GLMM
analysis.
GLM
analyses non-standard generalized linear models.
GLMM
fits a generalized linear mixed model.
GLPERMTEST
does random permutation tests for generalized linear mixed models.
GLPLOT
plots residuals from a GLMM
analysis.
GLPREDICT
forms predictions from a GLMM
analysis.
GLRTEST
calculates likelihood tests to assess random terms in a generalized linear mixed model.
GLTOBITPOISSON
uses the Tobit method to fit a generalized linear mixed model with censored Poisson data.
GPREDICTION
produces genomic predictions (breeding values) using phenotypic and molecular marker information.
GRANDOM
generates pseudo-random numbers from probability distributions.
GRCSR
generates completely spatially random points in a polygon.
GREJECTIONSAMPLE
generates random samples using rejection sampling.
GRIBIMPORT
reads data from a GRIB2 meteorological data file, and loads it or converts it to a spreadsheet file.
GRLABEL
randomly labels two or more spatial point patterns.
GRMNOMIAL
generates multinomial pseudo-random numbers.
GRMULTINORMAL
generates multivariate normal pseudo-random numbers.
GRTHIN
randomly thins a spatial point pattern.
GRTORSHIFT
performs a random toroidal shift on a spatial point pattern.
GSTATISTIC
calculates the gamma statistic of agreement for ordinal data.
G2AEXPORT
forms a dbase file to transfer ANOVA
output to Agronomix Generation II.
G2AFACTORS
redefines block and treatment variables as factors.
G2VEXPORT
forms a dbase file to transfer REML
output to Agronomix Generation II.
H
HANOVA
does hierarchical analysis of variance or covariance for unbalanced data.
HBOOSTRAP
performs bootstrap analyses to assess the reliability of clusters from hierarchical cluster analysis.
HCOMPAREGROUPINGS
compares groupings generated, for example, from cluster analyses.
HEATUNITS
calculates accumulated heat units of a temperature dependent process.
HFAMALGAMATIONS
forms an amalgamations matrix from a minimum spanning tree.
HFCLUSTERS
forms a set of clusters from an amalgamations matrix.
HPCLUSTERS
prints a set of clusters.
HGANALYSE
analyses data using a hierarchical or double hierarchical generalized linear model.
HGDISPLAY
displays results from a hierarchical or double hierarchical generalized linear model.
HGDRANDOMMODEL
defines the random model in a hierarchical generalized linear model for the dispersion model of a double hierarchical generalized linear model.
HGFIXEDMODEL
defines the fixed model for a hierarchical or double hierarchical generalized linear model.
HGFTEST
calculates likelihood tests for fixed terms in a hierarchical generalized linear model
HGGRAPH
draws a graph to display the fit of an HGLM or DHGLM analysis.
HGKEEP
saves information from a hierarchical or double hierarchical generalized linear model analysis.
HGNONLINEAR
defines nonlinear parameters for the fixed model of a hierarchical generalized linear model.
HGPLOT
produces model-checking plots for a hierarchical or double hierarchical generalized linear model.
HGPREDICT
forms predictions from a hierarchical or double hierarchical generalized linear model.
HGRANDOMMODEL
defines the random model for a hierarchical or double hierarchical generalized linear model.
HGRTEST
calculates likelihood tests for random terms in a hierarchical generalized linear model.
HGSTATUS
displays the current HGLM model definitions.
HGTOBITPOISSON
uses the Tobit method to fit a hierarchical generalized linear model with censored Poisson data.
HGWALD
prints or saves Wald tests for fixed terms in an HGLM.
I
IDENTIFY
identifies an unknown specimen from a defined set of objects.
IFUNCTION
estimates implicit and/or explicit functions of parameters.
IMPORT
reads data from a foreign file format and loads it or converts it to a spreadsheet file.
INSIDE
determines whether points lie within a specified polygon.
J
JACKKNIFE
produces Jackknife estimates and standard errors.
JOIN
joins or merges two sets of vectors together, based on classifying keys.
K
KALMAN
calculates estimates from the Kalman filter.
KAPLANMEIER
calculates the Kaplan-Meier estimate of the survivor function.
KAPPA
calculates a kappa coefficient of agreement for nominally scaled data.
KCONCORDANCE
calculates Kendall’s Coefficient of Concordance.
KCROSSVALIDATION
computes cross validation statistics for punctual kriging.
KCSRENVELOPES
simulates K function bounds under complete spatial randomness.
KERNELDENSITY
uses kernel density estimation to estimate a sample density.
KHAT
calculates an estimate of the K function.
KLABENVELOPES
gives bounds for K function differences under random labelling.
KNEARESTNEIGHBOURS
classifies items or predicts their responses by examining their k nearest neighbours.
KNNTRAIN
evaluates and optimizes the k-nearest-neighbour algorithm using cross-validation.
KOLMOG2
performs a Kolmogorov-Smirnoff two-sample test.
KRUSKAL
carries out a Kruskal-Wallis one-way analysis of variance.
KSED
calculates the standard error for K function differences under random labelling.
KSTHAT
calculates an estimate of the K function in space, time and space-time.
KSTMCTEST
performs a Monte-Carlo test for space-time interaction.
KSTSE
calculates the standard error for the space-time K function.
KTAU
calculates Kendall’s rank correlation coefficient τ.
KTORENVELOPES
gives bounds for the bivariate K function under independence.
K12HAT
calculates an estimate of the bivariate K function.
L
LCONCORDANCE
calculates Lin’s concordance correlation coefficient.
LIBEXAMPLE
accesses examples and source code of library procedures.
LIBFILENAME
supplies the names of information files for library procedures.
LIBHELP
provides help information about library procedures.
LIBSOURCE
obtains the source code of a Genstat procedure.
LIBVERSION
provides the name of the current Genstat Procedure Library.
LIFE
plays John Conway’s Game of Life.
LINDEPENDENCE
finds the linear relations associated with matrix singularities.
LORENZ
plots the Lorenz curve and calculates the Gini and asymmetry coefficients.
LRIDGE
does logistic ridge regression.
LRVSCREE
prints a scree diagram and/or a difference table of latent roots.
LSIPLOT
plots least significant intervals, saved from SEDLSI
.
LSPLINE
calculates design matrices to fit a natural polynomial or trigonometric L-spline as a linear mixed model.
LVARMODEL
analyses a field trial using the Linear Variance Neighbour model.
M
MAANOVA
does analysis of variance for a single-channel microarray design.
MABGCORRECT
performs background correction of Affymetrix slides.
MACALCULATE
corrects and transforms two-colour microarray differential expressions.
MADESIGN
assesses the efficiency of a two-colour microarray design.
MAEBAYES
modifies t-values by an empirical Bayes method.
MAESTIMATE
estimates treatment effects from a two-colour microarray design.
MAHISTOGRAM
plots histograms of microarray data.
MANNWHITNEY
performs a Mann-Whitney U test.
MANOVA
performs multivariate analysis of variance and covariance.
MANTEL
assesses the association between similarity matrices.
MAPCLUSTER
clusters probes or genes with microarray data.
MAPLOT
produces two-dimensional plots of microarray data.
MAREGRESSION
does regressions for single-channel microarray data.
MARMA
calculates Affymetrix expression values.
MAROBUSTMEANS
does a robust means analysis for Affymetrix slides.
MASCLUSTER
clusters microarray slides.
MASHADE
produces shade plots to display spatial variation of microarray data.
MAVDIFFERENCE
applies the average difference algorithm to Affymetrix data.
MAVOLCANO
produces volcano plots of microarray data.
MA2CLUSTER
performs a two-way clustering of microarray data by probes (or genes) and slides.
MCNEMAR
performs McNemar’s test for the significance of changes.
MCOMPARISON
performs pairwise multiple comparison tests within a table of means.
MCORANALYSIS
does multiple correspondence analysis.
MCROSSPECTRUM
performs a spectral analysis of a multiple time series.
MC1PSTATIONARY
gives the stationary probabilities for a 1st-order Markov chain.
MEDIANTETRAD
gives robust identification of multiple outliers in 2-way tables.
META
combines estimates from individual trials.
MICHAELISMENTEN
fits the Michaelis-Menten equation for substrate concentration versus time data.
MINFIELDWIDTH
calculates minimum field widths for printing data structures.
MINIMIZE
finds the minimum of a function calculated by a procedure.
MIN1DIMENSION
finds the minimum of a function in one dimension.
MMPREDICT
predicts the Michaelis-Menten curve for a particular set of parameter values.
MNORMALIZE
normalizes two-colour microarray data.
MOVINGAVERAGE
calculates and plots the moving average of a time series.
MPOLISH
performs a median polish of two-way data.
MPOWER
forms integer powers of a square matrix.
MTABULATE
forms tables classified by multiple-response factors.
MULTMISSING
estimates missing values for units in a multivariate data set.
MSEKERNEL2D
estimates the mean square error for a kernel smoothing.
MVAOD
does an analysis of distance of multivariate data.
MVARIOGRAM
fits models to an experimental variogram.
MVFILL
replaces missing values in a vector with the previous non-missing value.
N
NCONVERT
converts integers between base 10 and other bases.
NCSPLINE
calculates natural cubic spline basis functions (for use e.g. in REML
).
NEIGHBOURS
finds the neighbours of cells in a multi-dimensional array.
NLAR1
fits curves with an AR1 or a power-distance correlation model.
NLCONTRASTS
fits nonlinear contrasts to quantitative factors in ANOVA
.
NORMTEST
performs tests of univariate and/or multivariate Normality.
NOTICE
provides news and other information about Genstat.
NOUGHTSANDCROSSES
plays a game of noughts and crosses.
O
OPLS
performs orthogonal partial least squares regression.
ORTHPOLYNOMIAL
calculates orthogonal polynomials.
P
PAIRTEST
performs t-tests for pairwise differences.
PARTIALCORRELATIONS
calculates partial correlations for a list of variates.
PCOPROCRUSTES
performs a multiple Procrustes analysis.
PCPCLUSTER
forms groups of units using the densities of their PCP scores.
PDESIGN
prints or stores treatment combinations tabulated by the block factors.
PDUPLICATE
duplicates a pointer, with all its components.
PEAKFINDER
finds the locations of peaks in an observed series.
PENSPLINE
calculates design matrices to fit a penalized spline as a linear mixed model.
PERCENT
expresses the body of a table as percentages of one of its margins.
PERIODTEST
gives periodogram-based tests for white noise in time series.
PERMUTE
forms all possible permutations of the integers 1…n.
PFACLEVELS
prints levels and labels of factors.
PLINK
prints a link to a graphics file into an HTML file.
PLS
fits a partial least squares regression model.
PNTEST
calculates one- and two-sample Poisson tests.
POSSEMIDEFINITE
calculates a positive semi-definite approximation of a non-positive semi-definite symmetric matrix.
PPAIR
displays results of t-tests for pairwise differences in compact diagrams.
PRCORRELATION
calculates probabilities for product moment correlations.
PRDOUBLEPOISSON
calculates the probability density for the double Poisson distribution.
PREWHITEN
filters a time series before spectral analysis.
PRIMEPOWER
decomposes a positive integer into its constituent prime powers.
PRKTAU
calculates probabilities for Kendall’s rank correlation coefficient τ.
PRMANNWHITNEYU
calculates probabilities for the Mann-Whitney U statistic.
PROBITANALYSIS
fits probit models allowing for natural mortality and immunity.
PRSPEARMAN
calculates probabilities for Spearman’s rank correlation statistic.
PRWILCOXON
calculates probabilities for the Wilcoxon signed-rank statistic.
PSPLINE
calculates design matrices to fit a P-spline as a linear mixed model.
PTAREAPOLYGON
calculates the area of a polygon.
PTBOX
generates a bounding or surrounding box for a spatial point pattern.
PTCLOSEPOLYGON
closes open polygons.
PTDESCRIBE
gives summary and second order statistics for a point process.
PTFCLUSTERS
forms clusters of points from their densities in multi-dimensional space.
PTFILLCLUSTERS
fills holes within clusters of points in multi-dimensional space.
PTGRID
generates a grid of points in a polygon.
PTINTENSITY
calculates the overall density for a spatial point pattern.
PTKERNEL2D
performs kernel smoothing of a spatial point pattern.
PTK3D
performs kernel smoothing of space-time data.
PTREMOVE
removes points interactively from a spatial point pattern.
PTROTATE
rotates a point pattern.
PTSINPOLYGON
returns points inside or outside a polygon.
Q
QBESTGENOTYPES
sorts individuals of a segregating population by their genetic similarity with a target genotype, using the identity by descent (IBD) information at QTL positions.
QCANDIDATES
selects QTLs on the basis of a test statistic profile along the genome.
QCOCHRAN
performs Cochran’s Q test for differences between related-samples.
QDESCRIBE
calculates descriptive statistics of molecular markers.
QDISCRIMINATE
performs quadratic discrimination between groups i.e. allowing for different variance-covariance matrices.
QEIGENANALYSIS
uses principal components analysis and the Tracy-Widom statistic to find the number of significant principal components to represent a set of variables.
QEXPORT
exports genotypic data for QTL analysis.
QFACTOR
allows the user to decide to convert texts or variates to factors.
QFLAPJACK
creates a Flapjack project file from genotypic and phenotypic data.
QGSELECT
obtains a representative selection of genotypes by means of genetic distance sampling or genetic distance optimization.
QIBDPROBABILITIES
reads molecular marker data and calculates IBD probabilities.
QIMPORT
imports genotypic and phenotypic data for QTL analysis.
QKINSHIPMATRIX
forms a kinship matrix from molecular markers.
QLDDECAY
estimates linkage disequilibrium (LD) decay along a chromosome.
QLINKAGEGROUPS
forms linkage groups using marker data from experimental populations.
QLIST
gets the user to select a response interactively from a list.
QMAP
constructs genetic linkage maps using marker data from experimental populations.
QMASSOCIATION
performs multi-environment marker-trait association analysis in a genetically diverse population using bi-allelic and multi-allelic markers.
QMATCH
matches different data structures to be used in QTL estimation.
QMBACKSELECT
performs a QTL backward selection for loci in multi-environment trials or multiple populations.
QMESTIMATE
calculates QTL effects in multi-environment trials or multiple populations.
QMKDIAGNOSTICS
generates descriptive statistics and diagnostic plots of molecular marker data.
QMKRECODE
recodes marker scores into separate alleles.
QMKSELECT
obtains a representative selection of markers by means of genetic distance sampling or genetic distance optimization.
QMQTLSCAN
performs a genome-wide scan for QTL effects (Simple and Composite Interval Mapping) in multi-environment trials or multiple populations.
QMTBACKSELECT
performs a QTL backward selection for loci in multi-trait trials.
QMTESTIMATE
calculates QTL effects in multi-trait trials.
QMTQTLSCAN
performs a genome-wide scan for QTL effects (Simple and Composite Interval Mapping) in multi-trait trials.
QMVAF
calculates percentage variance accounted for by QTL effects in a multi-environment analysis.
QMVESTIMATE
replaces missing molecular marker scores using conditional genotypic probabilities.
QMVREPLACE
replaces missing marker scores with the mode scores of the most similar genotypes.
QNORMALIZE
performs quantile normalization.
QRECOMBINATIONS
calculates the expected numbers of recombinations and the recombination frequencies between markers.
QREPORT
creates an HTML report from QTL linkage or association analysis results.
QSASSOCIATION
performs marker-trait association analysis in a genetically diverse population using bi-allelic and multi-allelic markers.
QSBACKSELECT
performs a QTL backward selection for loci in single-environment trials.
QSELECTIONINDEX
calculates (molecular) selection indexes by using phenotypic information and/or molecular scores of multiple traits.
QSESTIMATE
calculates QTL effects in single-environment trials.
QSIMULATE
simulates marker data and QTL effects for single and multiple environment trials.
QSQTLSCAN
performs a genome-wide scan for QTL effects (Simple and Composite Interval Mapping) in single-environment trials.
QTHRESHOLD
calculates a threshold to identify a significant QTL.
QUANTILE
calculates quantiles of the values in a variate.
QUESTION
obtains a response using a Genstat menu.
R
RADIALSPLINE
calculates design matrices to fit a radial-spline surface as a linear mixed model.
RANK
produces ranks, from the values in a variate, allowing for ties.
RAR1
fits regressions with an AR1 or a power-distance correlation model.
RBRADLEYTERRY
fits the Bradley-Terry model for paired-comparison preference tests.
RCATENELSON
performs a Cate-Nelson graphical analysis of bivariate data.
RCHECK
checks the fit of a linear or generalized linear regression.
RCIRCULAR
does circular regression of mean direction for an angular response.
RCOMPARISONS
calculates comparison contrasts amongst regression means.
RCURVECOMMONNONLINEAR
refits a standard curve with common nonlinear parameters across groups to provide s.e.’s for linear parameters.
RDA
performs redundancy analysis.
RDESTIMATES
plots one- or two-way tables of regression estimates.
RDLOESSGROUPS
displays results from a locally weighted regression model (loess) fitted to data with groups.
REPPERIODOGRAM
gives periodogram-based analyses for replicated time series.
RESHAPE
reshapes a data set with classifying factors for rows and columns, into a reorganized data set with new identifying factors.
RFFAMOUNT
fits harmonic models to mean rainfall amounts for a Markov model.
RFFPROBABILITY
fits harmonic models to rainfall probabilities for a Markov model.
RFINLAYWILKINSON
performs Finlay and Wilkinson’s joint regression analysis of genotype-by-environment data.
RFSUMMARY
forms summaries for a Markov model from rainfall data.
RGRAPH
draws a graph to display the fit of a regression model.
RIDGE
produces ridge regression and principal component regression analyses.
RJOINT
does modified joint regression analysis for variety-by-environment data.
RKLOESSGROUPS
stores results from a locally weighted regression (loess) with groups model fitted to data with groups.
RLASSO
performs lasso using iteratively reweighted least-squares.
RLFUNCTIONAL
fits a linear functional relationship model.
RLIFETABLE
calculates the life-table estimate of the survivor function.
RLOESSGROUPS
fits locally weighted regression models (loess) to data with groups.
RMGLM
fits a model where different units follow different generalized linear models.
RMPLCONFIDENCE
estimates profile likelihood confidence intervals of predicted group means from a linear or generalized linear model analysis.
RMULTIVARIATE
performs multivariate linear regression with accumulated tests.
RNEGBINOMIAL
fits a negative binomial generalized linear model estimating the aggregation parameter.
RNONNEGATIVE
fits a generalized linear model with nonnegativity constraints.
ROBSSPM
forms robust estimates of sum-of-squares-and-products matrices.
RPAIR
gives t-tests for all pairwise differences of means from a regression or generalized linear model.
RPARALLEL
carries out analysis of parallelism for nonlinear functions.
RPERMTEST
does random permutation tests for regression or generalized-linear-model analyses.
RPHCHANGE
modifies a proportional hazards model fitted by RPHFIT.
RPHDISPLAY
prints output for a proportional hazards model fitted by RPHFIT.
RPHFIT
fits the proportional hazards model to survival data as a generalized linear model.
RPHKEEP
saves information from a proportional hazards model fitted by RPHFIT.
RPHVECTORS
forms vectors for fitting proportional hazards data as a generalized linear model.
RPLCONFIDENCE
estimates profile likelihood confidence intervals of parameters in a linear or generalized linear model.
RPOWER
calculates the power (probability of detection) for regression models.
RPROPORTIONAL
fits the proportional hazards model to survival data as a generalized linear model.
RQLINEAR
fits and plots quantile regressions for linear models.
RQNONLINEAR
fits and plots quantile regressions for nonlinear models.
RQSMOOTH
fits and plots quantile regressions for loess or spline models.
RQUADRATIC
fits a quadratic surface and estimates its stationary point.
RRETRIEVE
retrieves a regression save structure from an external file.
RSCHNUTE
fits a general 4 parameter growth model to a non-decreasing Y-variate.
RSCREEN
performs screening tests for generalized or multivariate linear models.
RSEARCH
helps search through models for a regression or generalized linear model.
RSPREADSHEET
puts results from a regression, generalized linear or nonlinear model into Genstat spreadsheets.
RSTEST
compares groups of right-censored survival data by nonparametric tests.
RSTORE
stores a regression save structure in an external file.
RSURVIVAL
models survival times of exponential, Weibull, extreme-value, log-logistic or lognormal distributions.
RTCOMPARISONS
calculates comparison contrasts within a multi-way table of means.
RTOBITPOISSON
uses the Tobit method to fit models to censored Poisson data.
RUGPLOT
draws “rugplots” to display the distribution of one or more samples.
RUNTEST
performs a test of randomness of a sequence of observations.
RVALIDATE
fits regression models to validate predictions, for example from a deterministic model, against observed data.
RWALD
calculates Wald and F tests for dropping terms from a regression.
RXGENSTAT
submits a set of commands externally to R and reads the output.
RYPARALLEL
fits the same regression model to several response variates, and collates the output.
R0INFLATED
fits zero-inflated regression models to count data with excess zeros.
R0KEEP
saves information from a zero-inflated regression model for count data with excess zeros fitted by R0INFLATED
.
R2LINES
fits two-straight-line (broken-stick) models to data.
S
SAGRAPES
produces statistics and graphs for checking sensory panel performance.
SAMPLE
samples from a set of units, possibly stratified by factors.
SBNTEST
calculates the sample size for binomial tests.
SCORRELATION
calculates the sample size to detect specified correlations.
SDISCRIMINATE
selects the best set of variates to discriminate between groups.
SEDLSI
calculates least significant intervals.
SED2ESE
calculates effective standard errors that give good approximate sed’s.
SETDEVICE
opens a graphical file and specifies the device number on basis of its extension.
SETNAME
sets the identifier of a data structure to be one specified in a text.
SIGNTEST
performs a one or two sample sign test.
SIMPLEX
searches for the minimum of a function using the Nelder-Mead algorithm.
SKEWSYMMETRY
provides an analysis of skew-symmetry for an asymmetric matrix.
SLCONCORDANCE
calculates the sample size for Lin’s concordance coefficient.
SMANNWHITNEY
calculates sample sizes for the Mann-Whitney test.
SMCNEMAR
calculates sample sizes for McNemar’s test.
SMOOTHSPECTRUM
forms smoothed spectrum estimates for univariate time series.
SOM
declares a self-organizing map.
SOMADJUST
performs adjustments to the weights of a self-organizing map.
SOMDESCRIBE
summarizes values of variables at nodes of a self-organizing map.
SOMESTIMATE
estimates the weights for self-organizing maps.
SOMIDENTIFY
allocates samples to nodes of a self-organizing map.
SOMPREDICT
makes predictions using a self-organizing map.
SPCAPABILITY
calculates capability statistics.
SPCCHART
plots c or u charts representing numbers of defective items.
SPCOMBINE
combines spreadsheet and data files, without reading them into Genstat.
SPCUSUM
prints CUSUM tables for controlling a process mean.
SPEARMAN
calculates Spearman’s rank correlation coefficient.
SPEWMA
plots exponentially weighted moving-average control charts.
SPLINE
calculates a set of basis functions for M-, B- or I-splines.
SPNTEST
calculates the sample size for a Poisson test.
SPPCHART
plots p or np charts for binomial testing for defective items.
SPRECISION
calculates the sample size to obtain a specified precision.
SPSHEWHART
plots control charts for mean and standard deviation or range.
SPSYNTAX
puts details about the syntax of commands into a spreadsheet.
SSIGNTEST
calculates the sample size for a sign test.
STACK
combines several data sets by “stacking” the corresponding vectors.
STANDARDIZE
standardizes columns of a data matrix to have mean zero and variance one.
STEEL
performs Steel’s many-one rank test.
STEM
produces a simple stem-and-leaf chart.
STTEST
calculates the sample size for t-tests (including equivalence tests).
SUBSET
forms vectors containing subsets of the values in other vectors.
SVBOOT
bootstraps data from random surveys.
SVCALIBRATE
performs generalized calibration of survey data.
SVGLM
fits generalized linear models to survey data.
SVHOTDECK
performs hot-deck and model-based imputation for survey data.
SVMERGE
merges strata prior to survey analysis.
SVMFIT
fits a support vector machine.
SVMPREDICT
forms the predictions using a support vector machine.
SVREWEIGHT
modifies survey weights, adjusting other weights to ensure that their overall sum remains unchanged.
SVSAMPLE
constructs stratified random samples.
SVSTRATIFIED
analyses stratified random surveys by expansion or ratio raising.
SVTABULATE
tabulates data from random surveys, including multistage surveys and surveys with unequal probabilities of selection.
SVWEIGHT
forms survey weights.
T
TABINSERT
inserts the contents of a sub-table into a table.
TABMODE
forms summary tables of modes of values.
TABSORT
sorts tables so their margins are in ascending or descending order.
TABTABLE
opens a tabbed-table spreadsheet in the Genstat client.
TALLY
forms a simple tally table of the distinct values in a vector.
TCOMBINE
combines several tables into a single table.
TENSORSPLINE
calculates design matrices to fit a tensor-spline surface as a linear mixed model.
TEQUIVALENCE
performs equivalence, non-inferiority and non-superiority tests.
THINPLATE
calculates the basis functions for thin-plate splines.
TOBIT
performs a Tobit linear mixed model analysis on data with fixed-threshold censoring.
TRELLIS
does a trellis plot.
TTEST
performs a one- or two-sample t-test.
TUKEYBIWEIGHT
estimates means using the Tukey biweight algorithm.
TVARMA
fits a vector autoregressive moving average (VARMA) model.
TVFORECAST
forecasts future values from a vector autoregressive moving average (VARMA) model.
TVGRAPH
plots a vector autoregressive moving average (VARMA) model.
TXPAD
pads strings of a text structure with extra characters so that their lengths are equal.
TXPROGRESSION
forms a text containing a progression of strings.
TXSPLIT
splits a text into individual texts, at positions on each line marked by separator character(s).
T%CONTROL
expresses tables as percentages of control cells.
U
UNSTACK
splits vectors into individual vectors according to levels of a factor.
UTMCONVERSION
converts between geographical latitude and longitude coordinates and UTM eastings and northings.
V
VABLOCKDESIGN
analyses an incomplete-block design by REML
, allowing automatic selection of random and spatial covariance models.
VAIC
calculates the Akaike and Schwarz (Bayesian) information coefficients for REML
.
VALINEBYTESTER
provides combinabilities and deviances for a line-by-tester trial analysed by VABLOCKDESIGN
or VAROWCOLUMNDESIGN
.
VALLSUBSETS
fits all subsets of the fixed terms in a REML
analysis.
VAMETA
performs a REML
meta analysis of a series of trials.
VAOPTIONS
defines options for the fitting of models by VARANDOM
and associated procedures.
VARANDOM
finds the best REML
random model from a set of models defined by VFMODEL
.
VARECOVER
recovers when REML
, is unable to fit a model, by simplifying the random model.
VAROWCOLUMNDESIGN
analyses a row-and-column design by REML
, with automatic selection of the best random and spatial covariance model.
VASDISPLAY
displays further output from an analysis by VASERIES
.
VASERIES
analyses a series of trials with incomplete-block or row-and-column designs by REML
, automatically selecting the best random models.
VASKEEP
copies information from an analysis by VASERIES
into Genstat data structures.
VASMEANS
saves experiment × treatment means from analysis of a series of trials by VASERIES
.
VAYPARALLEL
does the same REML
analysis for several y-variates, and collates the output.
VBOOTSTRAP
performs a parametric bootstrap of the fixed effects in a REML
analysis.
VCHECK
checks standardized residuals from a REML
analysis.
VCRITICAL
uses a parametric bootstrap to estimate critical values for a fixed term in a REML
analysis.
VDEFFECTS
plots one- or two-way tables of effects estimated in a REML
analysis.
VDFIELDRESIDUALS
display residuals from a REML
analysis in field layout.
VEQUATE
equates values across a set of data structures.
VFIXEDTESTS
saves fixed tests from a REML
analysis.
VFLC
performs an F-test of random effects in a linear mixed model based on linear combinations of the responses, i.e. an FLC test.
VFMODEL
forms a model-definition structure for a REML
analysis.
VFPEDIGREE
checks and prepares pedigree information from several factors, for use by VPEDIGREE
and REML
.
VFRESIDUALS
obtains residuals, fitted values and their standard errors from a REML
analysis.
VFSTRUCTURE
adds a covariance-structure definition to a REML
model-definition structure.
VFUNCTION
calculates functions of variance components from a REML
analysis.
VGESELECT
selects the best variance-covariance model for a set of environments.
VGRAPH
plots tables of means from REML
.
VHERITABILITY
calculates generalized heritability for a random term in a REML
analysis.
VHOMOGENEITY
tests homogeneity of variances and variance-covariance matrices.
VINTERPOLATE
performs linear & inverse linear interpolation between variates.
VLINEBYTESTER
analyses a line-by-tester trial by REML
.
VLSD
prints approximate least significant differences for REML
means.
VMATRIX
copies values and row/column labels from a matrix to variates or texts.
VMCOMPARISON
performs pairwise comparisons between REML
means.
VMETA
performs a multi-treatment meta analysis using summary results from individual experiments.
VMODEL
specifies the model for a REML
analysis using a model-definition structure defined by VFMODEL
.
VNEARESTNEIGHBOUR
analyses a field trial using nearest neighbour analysis.
VORTHPOLYNOMIAL
calculates orthogonal polynomials over time for repeated measures.
VPERMTEST
does random permutation tests for the fixed effects in a REML analysis.
VPLOT
plots residuals from a REML
analysis.
VPOWER
uses a parametric bootstrap to estimate the power (probability of detection) for terms in a REML
analysis.
VRACCUMULATE
forms a summary accumulating the results of a sequence of REML
random models.
VRADD
adds terms from a REML
fixed model into a Genstat regression.
VRCHECK
checks effects of a random term in a REML
analysis.
VRDISPLAY
displays output for a REML
fixed model fitted in a Genstat regression.
VRDROP
drops terms in a REML
fixed model from a Genstat regression.
VREGRESS
performs regression across variates.
VREPLACE
replaces values of vectors and pointers.
VRFIT
fits terms from a REML
fixed model in a Genstat regression.
VRKEEP
saves output for a REML
fixed model fitted in a Genstat regression.
VRMETAMODEL
forms the random model for a REML
meta analysis.
VRPERMTEST
performs permutation tests for random terms in REML
analysis.
VRSETUP
sets up Genstat regression to assess terms from a REML
fixed model.
VRSWITCH
adds or drops terms from a REML
fixed model in a Genstat regression.
VRTRY
tries the effect of adding and dropping individual terms from a REML
fixed model in a Genstat regression.
VSAMPLESIZE
estimates the replication to detect a fixed term or contrast in a REML
analysis, using parametric bootstrap.
VSCREEN
performs screening tests for fixed terms in a REML
analysis.
VSOM
analyses a simple REML
variance components model for outliers using a variance shift outlier model.
VSPECTRALCHECK
forms the spectral components from the canonical components of a multitiered design, and constrains any negative spectral components to zero.
VSPREADSHEET
saves results from a REML
analysis in a spreadsheet.
VSUMMARY
summarizes a variate, with classifying factors, into a data matrix of variates and factors.
VSURFACE
fits a 2-dimensional spline surface using REML
, and estimates its extreme point.
VTABLE
forms a variate and set of classifying factors from a table.
VTCOMPARISONS
calculates comparison contrasts within a multi-way table of predicted means from a REML
analysis.
VUVCOVARIANCE
forms the unit-by-unit variance-covariance matrix for specified variance components in a REML
model.
W
WADLEY
fits models for Wadley’s problem, allowing alternative links and errors.
WILCOXON
performs a Wilcoxon Matched-Pairs (Signed-Rank) test.
WINDROSE
plots rose diagrams of circular data like wind speeds.
WSTATISTIC
calculates the Shapiro-Wilk test for Normality.
X
XOCATEGORIES
performs analyses of categorical data from cross-over trials.
XOEFFICIENCY
calculates efficiency of estimating effects in cross-over designs.
XOPOWER
estimates the power of contrasts in cross-over designs.
Y
YTRANSFORM
estimates the parameter lambda of a single parameter transformation.