An `R`

package with operators to help speed up everyday tasks.

## Installation

To get the latest development version, use:

```
#install.packages("devtools")
devtools::install_github("JWiley/extraoperators")
```

Otherwise to get from CRAN use:

`install.packages("extraoperators")`

## Overview

The table below summarizes what this package provides. Fundamentally it provides or expands on 14 different logical operators, which can be accessed on their own to return a logical vector, but also prefixed by `?`

(which) to return the **indices** that are `TRUE`

or prefixed by `s`

(subset) to return only those **values** that are `TRUE`

or prefixed by `a`

(all) to return a single logical value, are ALL true? An entire all logical comparison can be prefixed by `!`

to generate a NONE evaluation.

Operator | What it does | Which? | Subset | All |
---|---|---|---|---|

== | Are values / vectors equal | %?==% | %s==% | %a==% |

!= | Are values / vector NOT equal | %?!=% | %s!=% | %a!=% |

%l% | Less than | %?l% | %sl% | %al% |

%le% | Less than or equal | %?le% | %sle% | %ale% |

%g% | Greater than | %?g% | %sg% | %ag% |

%ge% | Greater than or equal | %?ge% | %sge% | %age% |

%gl% | Greater than AND less than | %?gl% | %sgl% | %agl% |

%gel% | Greater than or equal AND less than | %?gel% | %sgel% | %agel% |

%gle% | Greater than AND less than or equal | %?gle% | %sgle% | %agle% |

%gele% | Greater than or equal AND less than or equal | %?gele% | %sgele% | %agele% |

%in% | In | %?in% | %sin% | %ain% |

%!in% OR %nin% | Not in | %?!in% OR %?nin% | %s!in% OR %snin% | %a!in% OR %anin% |

%c% | Chain operations on the RHS together | %?c% | %sc% | %ac% |

%e% | Set operator, to use set notation | %?e% | %se% | %ae% |

%grepl% | does text match a regular expression | %?grepl% | %sgrepl% | %agrepl% |

%!grepl% | does text NOT match a regular expression | %?!grepl% | %s!grepl% | %a!grepl% |

Using these operators, you can accomplish many different tasks by just remembering the additional prefixes: `?`

for `which()`

, `a`

for `all()`

and `s`

for `subset()`

. While simple, this can save quite a few keystrokes and make various logical comparisons less convoluted.