gluestick

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Simple, single-function string interpolation in Base R

gluestick 최신버젼 다운로드

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# gluestick

![](https://img.shields.io/badge/cool-useless-green.svg)
[![R-CMD-check](https://github.com/coolbutuseless/gluestick/workflows/R-CMD-check/badge.svg)](https://github.com/coolbutuseless/gluestick/actions)

The goal of the `gluestick` package is to provide a home for a single,
simple function (also named `gluestick`).

This `gluestick()` function is meant to be an almost drop-in replacement
for 99.9% of the reasons I use the amazing
[`glue`](https://cran.r-project.org/package=glue) package.

The idea is that you would just steal the function out of this package
and use it in your own package in order to avoid having
[`glue`](https://cran.r-project.org/package=glue) as a dependency.

## Benefits

-   Single function
-   No dependencies
-   No C code
-   Vanilla base R code (easy to hack upon)

## Limitations

-   There is no special handling when delimiters are repeated. This
    differs from `glue` where doubling the delimiter escpaes it.
-   No support for glue’s idea of data transformers
-   Far fewer sanity checks than glue

## Installation

You can install from
[GitHub](https://github.com/coolbutuseless/gluestick) with:

``` r
# install.package('remotes')
remotes::install_github('coolbutuseless/gluestick')
```

In reality, I can’t see anyone actually wanting to install/use this
package in preference to the glue package.

What I envisage is that if you want something “glue-like” to include in
your own work, you can just steal the `gluestick()` function out of this
package and include it in your own package.

## Basic Usage

``` r
library(gluestick)

#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# By default, `src` data is the calling environment
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
name <- 'Mike'
gluestick("Hello {name}")
```

#> [1] "Hello Mike"

``` r
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# R code will be evaluated
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
gluestick("Hello {name}. Score = {1 + 2}")
```

#> [1] "Hello Mike. Score = 3"

``` r
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Can pass in a list, data.frame, environment etc as the data source to 
# override the default
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
gluestick("Hello {name}", src = list(name = '#RStats'))
```

#> [1] "Hello #RStats"

``` r
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Delimiters are user-definable
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
gluestick("Hello ~~!name]]?", open = "~~!", close = "]]?")
```

#> [1] "Hello Mike"

## Do not evaulate expressions - treat them as referencing named variables only

In some circumstances it might be wise to assume that the expressions
aren’t actually R code, but only refer to names of variables in the data
source. This might be useful when evaluating format strings input by an
untrusted user.

If `eval=FALSE` is set, then expressions will be treated as variable
names, `mget()` will be used to fetch them from the data source, and no
code evaluation will occur.

``` r
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# This will work, as 'name' is a variable in the data `src` (i.e. the calling environment)
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
gluestick("Hello {name}", eval = FALSE)
```

#> [1] "Hello Mike"

``` r
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# This won't work as the code is not evaluated, and there is no variable 
# named `2 * 2` in the `src` data
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
gluestick("Hello {2 * 2}", src = list(name = 'mike'), eval = FALSE)
```

#> Error: value for '2 * 2' not found

## Related Software

-   Functionality is heavily modelled on
    [`glue`](https://cran.r-project.org/package=glue)

## Acknowledgements

-   R Core for developing and maintaining the language.
-   CRAN maintainers, for patiently shepherding packages onto CRAN and
    maintaining the repository

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