Відео

Following this tutorial you should be able to: practice basic syntax and usage of for loops use for loops to automate function operations understand how to decompose complex problems Data file moved to: github.com/datacarpentry/semester-biology/raw/main/data/locations.zip 0:00 Start 5:35 Loop using indexing 18:27 Looping over files 29:54 Apply function

We cover how to use and create vectorized functions use the apply family of functions for iteration integrate custom functions with dplyr for iteration 0:00 Start 2:10 Vectorize 8:41 apply 18:42 dplyr

In this tutorial we discuss conditionals, trailing digits, and Hadley Wickhams' Style Guide including: basic relational operators if statement to evaluate conditionals if statements with functions

This video demonstrates functions in R and how to: - use, modify, and write custom functions - use the output of one function as the input of another

An overview of Rasters Raster math Plotting spatial images Shapefile import Integrate raster and vector data 0:00 Setup 5:00 Import Raster 8:17 Convert to dataframe 9:06 Map in ggplot 15:10 Vectors 27:00 Extract Raster Values 30:28 Map of Point Data 42:21 Make Your Own Vector Data

The fifth and final video in a series on using R and RStudio. 0:00 Setup & Installation 3:25 Basic ggplot Format 10:47 Boxplot 15:12 Time Series 19:26 Integrating Pipes 23:08 Faceting 32:12 Customization 41:22 Arranging Plots 47:12 Exporting Plots This series is based on the Data Carpentry R for Ecologists tutorial. Michonneau et al. (2020). “datacarpentry/R-ecology-lesson: Data Carpentry: Data...

The second of two videos on ggplot2, the popular plotting package in R. The video covers, file formats, resolution, dpi, and dimensions, color palettes, themes, saving and exporting, and combining multiple plots. Themes: ggplot2.tidyverse.org/reference/ggtheme.html Cheatsheets: rstudio.com/wp-content/uploads/2015/03/ggplot2-cheatsheet.pdf Cookbook for R: www.cookbook-r.com/Graphs/ 0:00 Setup 2:...

The first of two videos on the ggplot2 package, the popular plotting package in R. This video covers grouping by continuous and discrete factors, rescaling axes, statistical transformations, and changing values across layers. Different ggplot2 themes: ggplot2.tidyverse.org/reference/ggtheme.html 0:00 Setup 1:49 Download Data 8:30 Groupings 12:14 Rescaling 19:41 Statistical Transformations 23:06...

This tutorial covers basic and advanced dplyr functions including Working with Tabular Data (in dplyr) dplyr Aggregation Combining Data Manipulations dplyr Joins Advanced Filtering 0:00 Setup 6:32 Basic dplyr functions 12:40 Aggregation 24:22 Pipes 30:19 Multiple filter conditions

In this quick video we cover single and multi-table joins using dplyr's inner_join() function.

The fourth of a five-part series on using R and RStudio. This series is based on the Data Carpentry R for Ecologists tutorial. Michonneau et al. (2020). “datacarpentry/R-ecology-lesson: Data Carpentry: Data Analysis and Visualization in R for Ecologists, June 2019.” doi: 10.5281/zenodo.3264888, datacarpentry.org/R-ecology-lesson/01-intro-to-r.html 0:00 Start 1:10 Set up 6:16 Selecting Columns &...

The third of a five-part series on using R and RStudio. This series is based on the Data Carpentry R for Ecologists tutorial. Michonneau et al. (2020). “datacarpentry/R-ecology-lesson: Data Carpentry: Data Analysis and Visualization in R for Ecologists, June 2019.” doi: 10.5281/zenodo.3264888, datacarpentry.org/R-ecology-lesson/01-intro-to-r.html 0:00 Start 2:24 Download & Import Data 7:14 Insp...

The second of a five-part series on using R and RStudio. This series is based on the Data Carpentry R for Ecologists tutorial. Michonneau et al. (2020). “datacarpentry/R-ecology-lesson: Data Carpentry: Data Analysis and Visualization in R for Ecologists, June 2019.” doi: 10.5281/zenodo.3264888, datacarpentry.org/R-ecology-lesson/01-intro-to-r.html 0:00 Start 11:58 New Script 13:00 Commenting 22...

The first of a four-part series on using R and RStudio. This series is based on the Data Carpentry R for Ecologists tutorial. Michonneau et al. (2020). “datacarpentry/R-ecology-lesson: Data Carpentry: Data Analysis and Visualization in R for Ecologists, June 2019.” doi: 10.5281/zenodo.3264888, datacarpentry.org/R-ecology-lesson/. By the end of the series you will be able to: Describe the purpos...

Getting Started with R Markdown

Data Cleaning with OpenRefine

Estimating Population Size Using NEON Small Mammal Data

Data Management with NEON Small Mammals

Basic Reproducibility in R

Paths & Projects in R

Intro to RStudio (cont.)

Introduction to RStudio

Accessing NEON data

Spreadsheets for Ecologists

Data Entry

Tidy Data

EcoCode Syllabus

BIOL 691: Data Science for Biologists - Canvas & Syllabus

BIOL 391: Welcome from Your Professor