clessnverse

clessnverse contains functions for data domestication, analysis and visualization along with functions specific to the research chair’s projects.

Note: This package is under construction.

Installation

To install the latest stable version of this package, run the following line in your R console:

remotes::install_github("clessn/clessnverse")

Usage

library("clessnverse") will load the following packages:

• hublot, to access clHub
• clessnhub, to access clessn hub

Examples

Normalize a continuous variable between 0 and 1

library(clessnverse)

data <- tibble::tibble(a = c(1, 0, 2, 0), b = c(4, 0, 1, 0))

# Base R
sapply(data, normalize_min_max)
#>        a    b
#> [1,] 0.5 1.00
#> [2,] 0.0 0.00
#> [3,] 1.0 0.25
#> [4,] 0.0 0.00

# Dplyr
library("dplyr")

data %>%
  mutate(across(c(a, b), normalize_min_max))
#> # A tibble: 4 × 2
#>       a     b
#>   <dbl> <dbl>
#> 1   0.5  1   
#> 2   0    0   
#> 3   1    0.25
#> 4   0    0

Issues and suggestions

You can submit bugs or suggestions in the Issues tab of this repo. To facilitate problem solving, please include a minimal reproducible example of the issue.