Introduction to Basic Statistics in R (Part 1 of 2) - 2021-02-11

From Glenda Gaines July 17, 2024

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This workshop explores basic, practical applied statistics using the R statistical programming language. On the first day we’ll focus on common procedures like assessing the distribution of your data and calculating differences between groups. In the second day we’ll focus on common linear models (linear regression, ANOVA, etc.) in R. We will also calculate the power of a simple study. This workshop is appropriate for learners with various data types, but will most emphasize continuous numerical data.

By the end of this 2-part workshop, learners should be able to:

Calculate sample summaries and estimate population parameters
Work with distributions: generate random numbers, calculate quantiles and p-values
Calculate confidence intervals
Bootstrap statistics
Compare data from two or more different groups
Estimate and interpret linear models
Identify common violations of regression assumptions
Power calculations

Prerequisites: Learners should be proficient at using R and have the latest versions of R, RStudio, and Zoom installed on their computers.

The copyright on this video is owned by the Regents of the University of California and is licensed for reuse under the Creative Commons Attribution 4.0 International (CC BY 4.0) License.

Tags: datalabdatalab eventdatalab workshopstatisticsbasic statistics

Appears In: UC Davis DataLab: Data Science and Informatics Information and Educational Technology Library Research Graduate Studies Computer Science

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