In aikinman/dataVision: dataVision Plots Data for Easy, Fast Data Visualization

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

dataVision

The goal of dataVision is to easily plot data for fast visualization.

Installation

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

install.packages("dataVision")

Example

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

library(dataVision)
dataVision('Sepal.Width', 'Petal.Width', iris)

How I made this R package

I first loaded in library devtools and created a tidy package.

library(devtools)
create_tidy_package("~/Desktop/dataVision")

Next, I reloaded devtools and loaded the package using load_all() and use_git().

library(devtools)
load_all()
use_git()

To create an r script for my function I used use_r("dataVision") then committed it.

Following that, I updated the Description file manually adding a title, information about the author, and a description. Then I used use_mit_license("Adrienne Kinman") to update the license.

Then I added a roxygen2 function to my dataVision function outlining the @param varaibles, @return expected, @export and some @example code. A namespace file was created as part of this process.

use_r("dataVision")
check()

use_mit_license("Adrienne Kinman")

Now, I added tests and dependencies to my R package.

use_testthat("dataVision")
document()

use_package("testthat")
use_package("dplyr")
use_package("tidyverse")
use_pipe()
devtools::document()

Finally, I built the readme file and vignette.

use_readme_rmd()
build_readme()

use_vignette("dataVision")

aikinman/dataVision documentation built on Dec. 31, 2020, 6:47 p.m.