1library(tidyverse) 2library(dplyr) 3library(data.table) 4library(mvpart) 5library(vegan) 6 7#setwd("C:/Users/Stefanie/Documents/WSU/rGroup") #set working directory Author: Stefanie Watson Getting Data You can download the species subset for this research profile here. Other data is downloaded from Canada using …

Author: Brad Luff What is Web Scraping? Web scraping is the process of automatically collecting data from web pages without visiting them using a browser. This can be useful for collecting information from a multitude of sites very quickly. Also, because the scraper searches for the location of the information within …

Author: Alli N. Cramer Shiny is an R package that allows you to create interactive data visualizations. Shiny can create HTML pages which can allow users to generate graphs, maps, etc. based on underlying data and predetermined functions. If you use R Studio, Shiny comes pre-installed and can be accessed by clicking …

Author: Stephanie Labou Getting started First, let's read in the date/time data created for this lesson. We'll read in the data with strings as character data, not factors. 1dat_orig <- read.csv("date_time_examples.csv", stringsAsFactors = FALSE) What does this data look like? What structure is it? 1dat_orig …

Author: Michael Meyer You can download a subset of the data used in this document here, and an .Rmd version of this analysis here. To watch our guest speaker Michael talk about this analysis, check out the recording of his research profile talk on YouTube! For the Reader This is a tutorial of model selection techniques …

Author: Alli N. Cramer R Markdown R Markdown is an easy way to share and communicate your results from R. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents that comes with R Studio. To make a new R markdown document, go to File -> New File -> R Markdown. New R Markdown …

Author: A. Leah Zulas and Stephanie Labou Today's guest speaker was Dr. A. Leah Zulas. Dr. Zulas has a master's degree and a PhD in experimental psychology, as well as a master's degree in computer science. She walked us through similarities and differences in R and Python. You can view her presentation here. Overview …

Author: Alli N. Cramer This is an attempt to orient you around R. To give you a roadmap of sorts to help you find your way when learning R. The following text will show you: What R is What R studio is How to do basic math in R How to add, save, and bring in data How to read basic R syntax How to make a linear model …

Today we introduced the R packages 'dplyr' and 'ggplot2'. We only had time for a few brief demos, but these packages are very powerful and you may be using them quite a bit! More about dplyr dplyr is useful for manipulating data. Most of the time you'll be using one of 5 main functions: filter(): subsets rows based on …

Data Carpentry and Software Carpentry are sister organizations devoting to helping people automate their research. Data Carpentry focuses more on working with data (dataframes, data manipulation, visualization) while Software Carpentry emphasizes programming best practices (writing functions, vectorization, etc.). Both …