R: An R package for the linear modeling of high-dimensional designed data based on ASCA/APCA family of methods

# An R package for the linear modeling of high-dimensional designed data based on ASCA/APCA family of methods

## Documentation for package ‘limpca’ version 1.8.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

data2LmpDataList | Converts data to a lmpDataList.
limpca | Linear modeling of high-dimensional designed data based on ASCA/APCA family of methods
lmpBootstrapTests | Tests the significance of model effects by bootstrap.
lmpContributions | Summary of the contributions of each effect
lmpEffectMatrices | Computes the effect matrices
lmpEffectPlot | Effect plot
lmpLoading1dPlot | Loadings represented on a line plot.
lmpLoading2dPlot | Loading plots on a 2D scatter plot
lmpModelMatrix | Creates the model matrix 'X'
lmpPcaEffects | PCA on the effect matrices
lmpScorePlot | Score plots of effect matrices
lmpScoreScatterPlotM | Scatterplot matrix of effect matrices scores
lmpScreePlot | Scree Plot
pcaBySvd | Singular Value Decomposition for PCA analysis
pcaLoading1dPlot | Loadings represented on a line plot.
pcaLoading2dPlot | Loading plots on a 2D scatter plot
pcaScorePlot | Score plots
pcaScreePlot | Scree Plot
plotDesign | Plot of the design matrix
plotLine | Line plot
plotMeans | Means plot
plotScatter | Scatter plot
plotScatterM | Scatter plot matrix
trout | trout: the Rainbow trouts transcriptomic dataset
UCH | UCH: the Urine Citrate-Hippurate metabolomic dataset