https://github.com/dataknit/tidymine

Tidy interface for calculating Maximal Information-based Nonparametric Exploration (MINE) statistics
https://github.com/dataknit/tidymine

big-data exploratory-data-analysis mine mine-statistics package r r-package statistics

Last synced: 26 days ago
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Tidy interface for calculating Maximal Information-based Nonparametric Exploration (MINE) statistics

• Host: GitHub
• URL: https://github.com/dataknit/tidymine
• Owner: dataknit
• Created: 2020-08-24T12:48:58.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2020-08-24T14:03:35.000Z (about 4 years ago)
• Last Synced: 2024-10-11T19:44:29.782Z (26 days ago)
• Topics: big-data, exploratory-data-analysis, mine, mine-statistics, package, r, r-package, statistics
• Language: R
• Homepage: https://joekroese.github.io/tidymine
• Size: 7.61 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# tidymine

tidymine provides a tidy interface for calculating statistics from the Maximal Information-based Nonparametric Exploration (MINE) family. MINE statistics are a robust alternative to correlation measures, recognising a range of functional and non-functional relationships between variables.

## Getting Started

### Installation

Install the latest development version from GitHub:

```{r}

if (!require("devtools")) {

  install.packages("devtools")

}

devtools::install_github("joekroese/tidymine")

```

### Examples

```{r}

library(tidyverse)

library(tidymine)

who %>%

  tidymine(net_primary_school_enrolment_ratio_female) %>%

  arrange(-mic)

```