By Matt Brousil In this post I'll walk through some of the basics for getting started importing, formatting, and creating maps with spatial data in R. Many students and researchers I know (myself included) have taken GIS coursework and are familiar with tools like ArcMap, but want to work with their data in R. R …

By Matt Brousil This post walks through some best practices for formatting and preparing your data for use with R. Some of the suggestions here are drawn from Data Carpentry, Broman and Woo (2018), and the BES Guide to Reproducible Code. The required dataset is available here. A previous version of this post that deals …

By Mikala Meize Libraries used 1library(QuantPsyc) 2library(lmtest) 3library(palmerpenguins) Linear model information Linear models are generally coded in this format: model.name <- modeltype(outcome ~ predictor, data, specifications) The following code will apply specifically to Ordinary Least Squares (OLS) …

By Vera Pfeiffer Data for today 1BadFungi<-read.csv("BadFun.csv", row.names=1) 2head(BadFungi) 3 4## Botrytis Cladosporium Monilinia 5## X10orgedge 0.02131367 0.15160858 0.04504021 6## X10orgint 0.02654155 0.09718499 0.03900804 7## X11convedge 0.04959786 0.24664879 0.02560322 8## X11convint 0.03391421 …

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 …

Brand new to R? You can install R from CRAN here. You can also download RStudio, an interactive development environment (IDE) for R from here. Good news: both R and RStudio are free! Want a more guided installation experience? Check out this video about installing R on Windows, or this video about installing R on Mac. …