Simulate real and complex numbers from distributions of their magnitude and arguments. Optionally, the magnitudes and/or arguments may be fixed in almost arbitrary ways. Plot density and distribution functions with automatic selection of suitable regions. Small programming utilities: check if an object is identical to NA, count positional arguments in a call, set intersection of more than two sets, check if an argument is unnamed, compute the graph of S4 classes in packages.
The latest stable version is on CRAN.
You can install the development version of gbutils
from Github:
Overview
Package gbutils
is a collection of (mostly small) functions used interactively or in packages.
Numeric computations
sim_numbers()
,sim_complex()
,sim_real()
- Simulate real or complex numbers from (possibly partial) polar form specifications.cdf2quantile()
- Compute quantiles from a given distribution function.pseudoInverse()
- Compute pseudo-inverse matrices.rpoly()
- create polynomials with real coefficients from zeroes (roots) given in Cartesian or polar form.
Graphics
-
plotpdf()
- Plot functions with automatic determination of the “interesting” region (typically probability density and distribution functions)
S4 classes
-
adjacencyOfClasses()
- Create inheritance graphs of S4 classes defined in one or more packages.
Programming utilities
isNA()
- Is an object NA?isargunnamed()
- Is an element of a list named?missing_arg()
- Is an element of a pairlist missing?parse_text()
- Parse expressions.nposargs()
- Count the number of positional arguments used in a call.shiftleft()
shiftright()
- Rotate vectors.
Other
mintersect()
- Set intersection of arbitrary number of arguments.myouter()
- Outer product using a non-vectorised function.raw_history()
Get the command history in a character vector.