Tag - R

R

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The course is organized in 3 modules: * Module 1: * * Introduction to R and RStudio * Paths and directories * R basics (syntax, objects) * Functions in R (run, get help) * R scripts * Data types & data structures (vector, matrix, data frame, factor) * Module 2: * * Input / output (read in and write out files) * Library and packages (install, load) * Regular expressions (with grep and gsub) * Conditional statement (if statements) * Repetitive execution (for loops) * Module 3: * * "Base" plotting (scatter plots, histograms, barplots, pie plots, boxplots) * Plotting with ggplot2 (scatter plots, histograms, barplots, dot plots) * Saving plots in files.

RESOURCES AND TRAININGS ONLINE
Resources and Trainings Online
SOFTWARE CARPENTRY LESSONS: * The Unix Shell * Version Control with Git * Programming with Python * Plotting and Programming in Python * Programming with R * R for Reproducible Scientific Analysis DATA CARPENTRY LESSONS: * Ecology Workshop Overview * Data Organization in Spreadsheets for Ecologists * Data Cleaning with OpenRefine for Ecologists * Data Management with SQL for Ecologists * Data Analysis and Visualization in R for Ecologists * Data Analysis and Visualization in Python for Ecologists LIBRARY CARPENTRY LESSONS: * Workshop Overview * Introduction to Working with Data (Regular Expressions) * The UNIX Shell * OpenRefine * Introduction to Git * SQL * Tidy Data * Webscraping * Introduction to Python * Introduction to Data for Archivists

RESOURCES AND TRAININGS ONLINE
Resources and Trainings Online
RESOURCES AND TRAININGS ONLINE
Resources and Trainings Online
RESOURCES AND TRAININGS ONLINE
Resources and Trainings Online
RESOURCES AND TRAININGS ONLINE
Resources and Trainings Online

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