README.md

In momoldo/otmR: R packages for Otemon Gakuin University

otmR

The goal of otmR is to …

Installation

You can install the released version of otmR from CRAN with:

install.packages("otmR") # not available!

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("momoldo/otmR")

Example

This is a basic example which shows you how to solve a common problem:

library(tidyverse)
#> ─ Attaching packages ──────────────────── tidyverse 1.3.0 ─
#> ✓ ggplot2 3.3.3     ✓ purrr   0.3.4
#> ✓ tibble  3.1.0     ✓ dplyr   1.0.5
#> ✓ tidyr   1.1.3     ✓ stringr 1.4.0
#> ✓ readr   1.4.0     ✓ forcats 0.5.1
#> ─ Conflicts ───────────────────── tidyverse_conflicts() ─
#> x dplyr::filter() masks stats::filter()
#> x dplyr::lag()    masks stats::lag()
library(otmR)
#> Loading required package: e1071
#> Loading required package: kableExtra
#> 
#> Attaching package: 'kableExtra'
#> The following object is masked from 'package:dplyr':
#> 
#>     group_rows
#> Loading required package: readxl
## basic example code
iris %>% # data.frame
  select(Sepal.Length:Petal.Width) %>% # variable selected
  otBasicStats() %>% # compute statistics
  otPrint() # print result

Result of BasicStats Size Mean Median SD Skewness Kurtosis Sepal.Length 150 5.843 5.80 0.828 0.315 -0.552 Sepal.Width 150 3.057 3.00 0.436 0.319 0.228 Petal.Length 150 3.758 4.35 1.765 -0.275 -1.402 Petal.Width 150 1.199 1.30 0.762 -0.103 -1.341

momoldo/otmR documentation built on March 27, 2021, 3 a.m.