statisfactory

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:

install.packages('statisfactory')

Alternatively, you can install the development version (plus dependency omnibus) using:

remotes::install_github('adamlilith/omnibus')
remotes::install_github('adamlilith/statisfactory')

You may need to install package remotes first.

Functions

Utilities

• makeFormulae(): Make all possible formula

Distance

• euclid(): Euclidean distance
• fuzzyJaccard(): Fuzzy Jaccard index for non-binary values

Calculations

• geoMean(): Geometric mean
• invLogitAdj(): Probit transform robust to 0's or 1's
• logitAdj(): Logit transform robust to 0's and 1's
• mmode(): Modal value
• psum(): Element-wise sum (like pmin() and pmax())
• se(): Standard error of the mean

Data transformation

• art(): Aligned rank transform for using ANOVAs on rank data
• rankMulti(): Rank values by multiple tie-breaking criteria

Principal component analysis (PCA)

• backTransPCA(): "Back-transform" PCA scores to their original values

Geometry

• countConnected(): Count number of contiguous "blocks" of cells

Sampling

• sampleAcross(): Permute values across two vectors or columns in two data frames or matrices
• sampleStrat(): Sample values stratified by one or more other variables

Statistics

• nagelR2(): Nagelkerge's / Craig & Uhler's R2

Histograms

• hist2d(): Two-dimensional histogram
• histOverlap(): Histogram with overlapping or arbitrary bins

Adam B. Smith