x-creating_a_package.Rmd
The following code outlines the key steps I did, principally using the usethis package.
I then used create_package() within my project directory to build the basic package infrastructure This overights the initial project (after a handy prompt in the console).
create_package(path = getwd())
Create a vignette infrastructure and dummy vignette
usethis::use_vignette("temp")
use_package("dplyr", "Imports")
use_package("tidyr", "Imports")
use_package("ggplot2", "Imports")
use_package("ggpubr", "Imports")
use_package("nlme", "Imports")
use_package("lme4", "Imports")
use_package("bbmle", "Imports")
use_package("RCurl", "Imports")
use_package("GGally", "Imports")
use_package("broom", "Imports")
use_package("arm", "Imports")
devtools::use_package("data.table", "Imports")
devtools::use_package("car", "Imports")
devtools::use_package("lawstat", "Imports")
devtools::use_package("effsize", "Imports")
devtools::use_package("here", "Imports")
devtools::use_package("metafor", "Imports")
devtools::use_package("Formula", "Imports")
devtools::use_package("data.tree", "Imports")
External data is stored in “/inst/extdata”
list.files(here::here("/inst/extdata"))
Just the fat column
milk <- read.csv(here::here("/inst/extdata",
"skibiel_mammalsmilk.csv"))
use_data(milk)
use_r("milk")
Just the primates and relatives rows
milk_primates <- read.csv(here::here("/inst/extdata",
"skibiel_primate_fat.csv"))
use_data(milk_primates)
use_r("milk_primates")
Just the fat column
http://kbroman.org/pkg_primer/pages/licenses.html
usethis::use_mit_license(name = "Nathan Brouwer")
#use_data_raw()
use_r() #Create or edit a .R file
use_build_ignore() Add files to .Rbuildignore
use_version() use_dev_version() Increment package version
edit_r_profile() edit_r_environ() edit_r_makevars() edit_rstudio_snippets() edit_git_config() edit_git_ignore()
use_directory() Use a directory