Ladybird: a predictions (EMMs) example using asreml and asremlPlus2 years ago
Introduction | Use asreml to analyse the logits | References
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Ladybird: a predictions (EMMs) example using lm and asremlPlus2 years ago
Introduction | Use lmerTest and lm to analyse the logits | References
WheatSpatialModels: a full analysis of an experiment that includes choosing local spatial variation models3 years ago
1. Set up the initial model for this experiment | 2. Compare a series of information criteria to select a linear mixed model for the data | 3. Diagnostic checking using residual plots and variofaces | 4. Prediction production and presentation | References
growthPheno-manual6 years ago
Rice: an example illustrating the first five steps for Smoothing and Extracting Traits (SET)6 years ago
Tomato: an example of the Smoothing and Extraction of Traits (SET) process6 years ago
Wheat: a full analysis of an experiment with spatial variation6 years ago
1. Set up the maximal model for this experiment | 2. Perform a series of hypothesis tests to select a linear mixed model for the data | 3. Diagnostic checking using residual plots and variofaces | 4. Prediction production and presentation | References
Wheat: using information criteria6 years ago
1. Set up the maximal model for this experiment | 2. Obtaining information criteria for separate models | 3. Obtaining information criteria for a prescribed sequence of model changes | 4. Using information criteria to decide model changes | References
imageData-manual7 years ago
DesignNotes7 years ago
Introduction | Single-allocation orthogonal design in R | Single-allocation, nonorthogonal design in R | Miscellaneous experimental design topics in R | Multiphase experiments in R
Manual7 years ago
dae-package | ABC.Interact.dat | as.data.frame.pstructure | as.numfac | BIBDWheat.dat | blockboundaryPlot | Cabinet1.des | Casuarina.dat | correct.degfree | dae-deprecated | daeTips | decomp.relate | degfree | designAmeasures | designAnatomy | designBlocksGGPlot | designGGPlot | designLatinSqrSys | designPlot | designPlotlabels | designRandomize | designTwophaseAnatomies | detect.diff | efficiencies | efficiency.criteria | elements | Exp249.munit.des | extab | fac.ar1mat | fac.combine | fac.divide | fac.gen | fac.genfactors | fac.match | fac.meanop | fac.multinested | fac.nested | fac.recast | fac.recode | fac.split | fac.sumop | fac.uncombine | fac.uselogical | fac.vcmat | Fac4Proc.dat | fitted.aovlist | fitted.errors | get.daeRNGkind | get.daeTolerance | harmonic.mean | interaction.ABC.plot | is.allzero | is.projector | LatticeSquare_t49.des | makeLevsPadNums | marginality | mat.ar1 | mat.ar2 | mat.ar3 | mat.arma | mat.banded | mat.cor | mat.corg | mat.dirprod | mat.dirsum | mat.exp | mat.gau | mat.ginv | mat.I | mat.J | mat.ma1 | mat.ma2 | mat.ncssvar | mat.random | mat.sar | mat.sar2 | mat.Vpred | mat.Vpredicts | McIntyreTMV.dat | meanop | mpone | no.reps | Oats.dat | p2canon.object | pcanon.object | porthogonalize.list | power.exp | print.aliasing | print.projector | print.pstructure | print.summary.p2canon | print.summary.pcanon | proj2.combine | proj2.efficiency | proj2.eigen | projector | projector-class | projs.2canon | projs.combine.p2canon | pstructure.formula | pstructure.object | qqyeffects | rep.data.frame | resid.errors | residuals.aovlist | rmvnorm | Sensory3Phase.dat | set.daeRNGkind | set.daeTolerance | show-methods | SPLGrass.dat | strength | summary.p2canon | summary.pcanon | tukey.1df | yates.effects | Zncsspline | Index
asremlPlus-manual7 years ago
asremlPlus-package | addBacktransforms.alldiffs | addSpatialModel.asrtests | addSpatialModelOnIC.asrtests | addto.test.summary | allDifferences.data.frame | alldiffs.object | angular | angular.mod | as.alldiffs | as.asrtests | as.predictions.frame | asremlPlus-deprecated | asremlPlusTips | asrtests.object | bootREMLRT.asreml | changeModelOnIC.asrtests | changeTerms.asrtests | ChickpeaEnd.dat | chooseModel | chooseModel.asrtests | chooseModel.data.frame | chooseSpatialModelOnIC.asrtests | convAsremlobj.asreml | convEffectNames2DataFrame.asreml | estimateV.asreml | exploreLSDs.alldiffs | facCombine.alldiffs | facRecast.alldiffs | facRename.alldiffs | findLSDminerrors.alldiffs | getASRemlVersionLoaded | getFormulae.asreml | getTestEntry.asrtests | getTestPvalue.asrtests | infoCriteria | is.alldiffs | is.asrtests | is.predictions.frame | isCompoundSymmetric.matrix | iterate.asrtests | Ladybird.dat | linTransform.alldiffs | loadASRemlVersion | LSD.frame | makeTPPSplineMats.data.frame | newfit.asreml | num.recode | Oats.dat | pairdiffsTransform.alldiffs | permute.square | permute.to.zero.lowertri | pickLSDstatistics.alldiffs | plotLSDerrors.alldiffs | plotLSDerrors.data.frame | plotLSDs.alldiffs | plotLSDs.data.frame | plotPredictions.data.frame | plotPvalues.alldiffs | plotPvalues.data.frame | plotVariofaces.data.frame | powerTransform | predictions.frame | predictPlus.asreml | predictPresent.asreml | print.alldiffs | print.asrtests | print.LSDdata | print.predictions.frame | print.test.summary | print.wald.tab | printFormulae.asreml | R2adj.asreml | ratioTransform.alldiffs | recalcLSD.alldiffs | recalcWaldTab.asrtests | redoErrorIntervals.alldiffs | REMLRT.asreml | renewClassify.alldiffs | reparamSigDevn.asrtests | rmboundary.asrtests | setvarianceterms.call | simulate.asreml | sort.alldiffs | sort.predictions.frame | subset.alldiffs | subset.list | testranfix.asrtests | testresidual.asrtests | testswapran.asrtests | validAlldiffs | validAsrtests | validPredictionsFrame | variofaces.asreml | WaterRunoff.dat | Wheat.dat | Index
