By Abigail Hudak Overview The goal of this document is to share some tips and ideas about structuring and cleaning data for sharing and collaborating. None of the concepts are comprehensive, but I hope you find some useful tips. Cleaning data Favorites of janitor The package janitor is awesome for data cleaning. …

By Matt Brousil For the blog post accompanying this week's Intro to Shiny talk, please visit our previous post about Shiny: https://cougrstats.netlify.app/post/how-to-shiny-2/

By Matt Brousil This week I'm going to walk through some examples of applying functions to every item in one (or more) lists. Basically this gives an overview answering the question: "If I have a list of data, how do I loop through that list manipulating and running analyses on its data without using for() …

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 …

By Ben Lee Data for this walkthrough are available here. Why Use an SEM? Autocorrelation is everywhere in Ecological data, and fundamentally violates the assumptions of univariate linear models. Path analysis allows us to partition the variance of responses through a series of linear models. In our example, we'll be …

By Abby Hudak When relationships between variables is not linear you can try: transforming data to linearize the relationship fit non-linear functions to data (use nls example) fit polynomial or spline models to data (use growthrates package example) linear regression: dependent variable = constant + parameter x …

By Carly Prior Load these libraries 1library(ggplot2) 2library(maptools) 3library(maps) 4library(rgdal) 5library(sp) 6library(raster) 7library(plyr) 8library(dplyr) 9library(knitr) 10library(tidyverse) What is a shapefile? A shapefile is a specific format for geospatial vector data describing points, lines or polygons. …

By Enrique Jimenez 1library(ggplot2) 2 3## Warning: package 'ggplot2' was built under R version 3.5.3 4 5library(ggpubr) 6 7## Warning: package 'ggpubr' was built under R version 3.5.3 8 9library(cluster) 10 11## Warning: package 'cluster' was built under R version 3.5.3 12 13library(factoextra) …