iaw -- Ivo's Analytical Workbench

R package providing ~145 utility functions for data manipulation, regression analysis, plotting, and parallel computing.

All functions live in the iaw environment and are called as iaw$func().

Installation

# install.packages("remotes")  # if needed
remotes::install_github("iwelch/Riaw")

Then load it:

library(iaw)

Dependencies

Required packages (parallel, data.table, stats, utils, grDevices, graphics, tools) are installed automatically.

Optional packages that enable additional features:

install.packages(c("Cairo", "sandwich", "lmtest", "knitr",
                   "MASS", "dplyr", "fst", "glue", "bit64"))

Installing from a local clone

git clone git@github.com:iwelch/Riaw.git
cd Riaw
make install

This copies source files to inst/lib/, generates man pages, and runs R CMD INSTALL.

Usage

library(iaw)

# regression with enhanced output
fit <- iaw$olm(mpg ~ wt + hp, data = mtcars)
print(fit)

# population covariance
iaw$covp(mtcars$wt, mtcars$mpg)

# parallel grouped computation
iaw$rbind.mc.by(mtcars, mtcars$cyl, function(d) {
  data.frame(cyl = d$cyl[1], mean_mpg = mean(d$mpg))
})

Help is available for every function:

?olm
?covp
?rbind.mc.by

License

GPL (>= 3)