Data Analysis Workflow in R (Part One): t-tests скачать в хорошем качестве

Data Analysis Workflow in R (Part One): t-tests

A demonstration video showing the steps for a simple data analysis problem using RStudio to import, explore and check data before doing some hypothesis tests. Watch more of our videos on an Introduction to R here:    • Introduction to R   More information can be found in the accompanying document available at: https://stats4sd.org/resources/538 For our free resources, visit our website: https://stats4sd.org/resources Statistics for Sustainable Development is a not-for-profit, social enterprise that provides: • Statistical and data management expertise • Support on research designs and methodology • Technical guidance related to collection and processing of data and information. As a team of technicians and statisticians, we believe that our best work is done when supporting organisations and communities across the world that share our vision of a more sustainable future for all. The videos on our channel aim to support students, researchers, and academics, and are accompanied by the free resources on our website. This video was created and presented by Sam Dumble, a statistician at Stats4SD. Video production is by Emily Nevitt, a graphic and instructional designer at Stats4SD. Stay updated on what the team is up to over on our LinkedIn:   / statistics-for-sustainable-development   Contents: 00:00 - Intro 01:04 - Example Question for Data Analysis 01:36 - Ceating a New Project in R 02:34 - Importing Data File into R 03:54 - Creating a Markdown File 05:30 - Creating a Summary Format of the Data 06:14 - Adding Access to dplyr and ggplot2 06:57 - Exploratory Data Analysis 07:36 - Creating a Box Plot 08:18 - Reading Our Box Plot 09:37 - Creating a Histogram 11:23 - Reading Our Histogram 12:12 - Generating Summary Statistics 13:24 - Running a t-test 14:55 - Running a Nonparametric Test 16:52 - Returning to Analysis Question