Fix typo, thanks @spcanelon

Author: mine-cetinkaya-rundel

README.Rmd

@@ -18,7 +18,6 @@ knitr::opts_chunk$set(
 [![R build status](https://github.com/OpenIntroStat/openintro/workflows/R-CMD-check/badge.svg)](https://github.com/OpenIntroStat/openintro/actions)
 <!-- badges: end -->
 
-
 Supplemental functions and data for OpenIntro resources, which includes  open-source textbooks and resources for introductory statistics at [openintro.org](https://www.openintro.org/). 
 The package contains data sets used in our open-source textbooks along with custom plotting functions for reproducing book figures. 
 The package also contains the datasets used in OpenIntro labs. 
@@ -73,7 +72,7 @@ If the dataset is large (>500MB) or you'd like to add a function, please open an
 1. Also in the `data-raw` folder, create a new R script called `name_of_dataset-dataprep.R` and write the code needed to read in the file, make any modifications to the data that are needed (if any), and end with `usethis::use_data()` to save the data in the package as an .rda file with the ideal compression. See examples from other folders in `data-raw` for sample code. The contents of this folder do not end up in the package (the entire folder is ignored in the `.Rbuildignore`) so you don't need to worry about adding package dependencies etc.
 1. In the `R` folder, create an R script called `data-name_of_dataset` and add documentation using Roxygen style. See other documentation files for help with style. In the examples, use tidyverse syntax but do not use `library(tidyverse)` and only use the relevant packages, e.g. `library(dplyr)`, `library(ggplot2)`.
 1. Restart R and run `devtools::load_all()` to make sure the data loads and run your examples to confirm they all work.
-1. Run `devtools::docment()`, restart R, and then `devtools::load_all()`. Then, check out `?name_of_dataset` to make sure the documentation looks as expected.
+1. Run `devtools::document()`, restart R, and then `devtools::load_all()`. Then, check out `?name_of_dataset` to make sure the documentation looks as expected.
 1. Run `devtools::check()`. The only NOTE you should see as a result of the check should be about the package size. If any other ERRORs, NOTEs, or WARNINGs are generated, resolve them or open an issue for help.
 1. In the `pkgdown.yml` file, add the name of the dataset under `reference`, in the correct alphabetical order.
 1. Add a note in the `NEWS.md` with the new dataset you've added with a link to your GitHub username so we can acknowledge your contribution, e.g. "added by [\@mine-cetinkaya-rundel](https://github.com/mine-cetinkaya-rundel)".

README.md

@@ -101,7 +101,7 @@ discussion before making the pull request.
     e.g. `library(dplyr)`, `library(ggplot2)`.
 7.  Restart R and run `devtools::load_all()` to make sure the data loads
     and run your examples to confirm they all work.
-8.  Run `devtools::docment()`, restart R, and then
+8.  Run `devtools::document()`, restart R, and then
     `devtools::load_all()`. Then, check out `?name_of_dataset` to make
     sure the documentation looks as expected.
 9.  Run `devtools::check()`. The only NOTE you should see as a result of