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Statistical tools and helper functions, including back-transformation of principal component (PCA) scores, creatiion of all possible formulae from a set of terms while respecting marginality and user-specified constraints, stratified sampling, and 2-D histograms. You can install this package the usual way from CRAN
or the development version (plus dependency omnibus
) using:
remotes::install_github('adamlilith/omnibus', dependencies=TRUE)
remotes::install_github('adamlilith/statisfactory', dependencies=TRUE)
You may need to install package remotes
first.
makeFormulae
: Make all possible formulaeuclid
: Euclidean distancefuzzyJaccard
: Fuzzy Jaccard index for non-binary valuesgeoMean
: Geometric meaninvLogitAdj
: Probit transform robust to 0's or 1'slogitAdj
: Logit transform robust to 0's and 1'smmode
: Modal valuepsum
: Element-wise sum (like pmin and pmax)se
: Standard error of the meanart
: Aligned rank transform for using ANOVAs on rank datarankMulti
: Rank values by multiple tie-breaking criteria*backTransPCA
: "Back-transform" PCA scores to their original values
countConnected
: Count number of contiguous "blocks" of cellssampleAcross
: Permute values across two vectors or columns in two data frames or matricessampleStrat
: Sample values stratified by one or more other variablesnagelR2
: Nagelkerge's / Craig & Uhler's R2hist2d
: Two-dimensional histogramhistOverlap
: Histogram with overlapping or arbitrary binsAdam B. Smith
install.packages('statisfactory')