Package: infoDecompuTE 0.6.2

infoDecompuTE: Information Decomposition of Two-Phase Experiments

The main purpose of this package is to generate the structure of the analysis of variance (ANOVA) table of the two-phase experiments. The user only need to input the design and the relationships of the random and fixed factors using the Wilkinson-Rogers' syntax, this package can then quickly generate the structure of the ANOVA table with the coefficients of the variance components for the expected mean squares. Thus, the balanced incomplete block design and provides the efficiency factors of the fixed effects can also be studied and compared much easily.

Authors:Kevin Chang [aut, cre], Katya Ruggiero [aut]

infoDecompuTE_0.6.2.tar.gz
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infoDecompuTE_0.6.2.tgz(r-4.4-any)infoDecompuTE_0.6.2.tgz(r-4.3-any)
infoDecompuTE_0.6.2.tar.gz(r-4.5-noble)infoDecompuTE_0.6.2.tar.gz(r-4.4-noble)
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infoDecompuTE.pdf |infoDecompuTE.html
infoDecompuTE/json (API)

# Install 'infoDecompuTE' in R:
install.packages('infoDecompuTE', repos = c('https://kcha193.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kcha193/infodecompute/issues

Datasets:
  • chrisEx1 - Randomised Block design consisted of 6 blocks and 3 plots.
  • chrisEx2 - Randomised Block design consisted of 8 blocks and 2 plots.
  • chrisEx3 - Randomised Block design consisted of 4 blocks and 2 plots.

On CRAN:

26 exports 0.63 score 1 dependencies 28 scripts 240 downloads

Last updated 4 years agofrom:0f87ad247b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-winOKSep 15 2024
R-4.5-linuxOKSep 15 2024
R-4.4-winOKSep 15 2024
R-4.4-macOKSep 15 2024
R-4.3-winOKSep 15 2024
R-4.3-macOKSep 15 2024

Exports:adjustEffectNamesadjustMissingLevelsgetCoefVC.onePhasegetCoefVC.twoPhasegetEffFactorgetFixedEF.onePhasegetFixedEF.twoPhasegetTrtCoefgetTrtRepgetVMat.onePhasegetVMat.twoPhaseidentityMatinfoDecompMatinvInfMatJKmakeBlkDesMatmakeContrMatmakeOrthProjectorsmakeOverDesMatprojMatsummaryAovOnePhasesummaryAovTwoPhasetoLatexTabletrunity

Dependencies:MASS

Readme and manuals

Help Manual

Help pageTopics
Information Decomposition of Two-phase ExperimentsinfoDecompuTE-package infoDecompuTE
Adjust the Effects' NamesadjustEffectNames
Adjust the Missing LevelsadjustMissingLevels
Randomised Block design consisted of 6 blocks and 3 plots.chrisEx1
Randomised Block design consisted of 8 blocks and 2 plots.chrisEx2
Randomised Block design consisted of 4 blocks and 2 plots.chrisEx3
Get Variance Components' Coefficients and Mean Squares for Single-Phase or Two-Phase ExperimentsgetCoefVC.onePhase
Get Variance Components' Coefficients and Mean Squares for Single-Phase or Two-Phase ExperimentsgetCoefVC.twoPhase
Construct the Matrix from Information Decomposition and Compute the Efficiency Factors of Treatment effectsgetEffFactor
Get the Fixed Components' coefficients and Efficiency Factors of Single-Phase Experiments.getFixedEF.onePhase
Get the Fixed Components' coefficients and Efficiency Factors of Two-Phase Experiments.getFixedEF.twoPhase
Get the Treatment CoefficientsgetTrtCoef
Calculate the Treatment Replication numbergetTrtRep
Get the Variance Matrices for Single-Phase experimentgetVMat.onePhase
Get the Variance Matrices for Two-Phase experimentgetVMat.twoPhase
Identity MatrixidentityMat
Construct the Matrix from Information DecompositioninfoDecompMat
Invert the Information MatrixinvInfMat
Identity Matrix Minus Averaging MatrixJ
Averaging MatrixK
Construct Block Design MatrixmakeBlkDesMat
Make Contrast MatrixmakeContrMat
Construct Orthogonal Projector MatricesmakeOrthProjectors
Construct the Overall Treatment or Block design MatrixmakeOverDesMat
Construct a Projection MatrixprojMat
Summarize an Theoretical Analysis of Variance Model of Single-Phase ExperimentssummaryAovOnePhase
Summarize an Theoretical Analysis of Variance Model of Two-Phase ExperimentssummaryAovTwoPhase
Convert the R output to Latex TabletoLatexTable
Trace of the Matrixtr
Construct a unity vectorunity