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Welcome C++!

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dr. M.S. (Matthijs) Berends
2018-07-13 17:23:46 +02:00
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NEWS.md
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# 0.2.0.90xx (development version)
#### New
* **BREAKING**: `rsi_df` was removed in favour of new functions `resistance` and `susceptibility`. Now, all functions used to calculate resistance (`resistance` and `susceptibility`) or count isolates (`n_rsi`) use **hybrid evaluation**. This means calculations are not done in R directly but rather in C++ using the `Rcpp` package, making them 60 to 65 times faster. The function `rsi` still works, but is deprecated.
* Support for Addins menu in RStudio to quickly insert `%in%` or `%like%` (and give them keyboard shortcuts), or to view the datasets that come with this package
* For convience, descriptive statistical functions `kurtosis` and `skewness` that are lacking in base R - they are generic functions and have support for vectors, data.frames and matrices
* Function `g.test` to perform the Χ<sup>2</sup> distributed [*G*-test](https://en.wikipedia.org/wiki/G-test), which use is the same as `chisq.test`
* Function `ratio` to transform a vector of values to a preset ratio. For example:
* For convience, new descriptive statistical functions `kurtosis` and `skewness` that are lacking in base R - they are generic functions and have support for vectors, data.frames and matrices
* Function `g.test` as added to perform the Χ<sup>2</sup> distributed [*G*-test](https://en.wikipedia.org/wiki/G-test), which use is the same as `chisq.test`
* Function `ratio` was added to transform a vector of values to a preset ratio. For example:
```r
ratio(c(772, 1611, 737), ratio = "1:2:1")
# [1] 780 1560 780
```
* Function `p.symbol` to transform p value to their related symbol: `0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1`
* Function `p.symbol` was added to transform p values to their related symbols: `0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1`
* New for frequency tables (function `freq`):
* A vignette to explain its usage
* Support for `table` to use as input: `freq(table(x, y))`