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Downloading & Installing R & RStudio

Orientation to RStudio

Gentle Introduction to R

Creating & Saving an R Script

Orientation to Written Tutorials

Setting a Working Directory in R

Creating a Project in RStudio

Reading Data into R | Using the read.csv Function

Merging Data Horizontally in R | Using the merge Function

Subsetting Cases From a Data Frame in R | Using the subset Function

Selecting & Removing Variables from a Data Frame in R | Using the subset Function

Writing Data Frames from R | Using the write.csv Function

Computing Turnover Rates in R | Using the sum & mean Functions

Counts & Frequencies in R | Using the table & barplot Functions

Measures of Central Tendency & Dispersion in R | Summarizing & Visualizing Distributions

Cross Tabulation in R | Using the xtabs Function

Estimating Internal Consistency Reliability (Using Cronbach's alpha) in R | Using the alpha Function

Creating a Composite Variable in R | Using the rowMeans Function

Independent-Samples t-test in R | Using the ttest Function from lessR

Paired-Samples t-test in R | Using the ttest Function from lessR

Estimating Criterion-Related Validity Using a Correlation in R

Predicting Criterion Scores Using Simple Linear Regression in R

Applying a Compensatory Approach to Selection Decisions Using Multiple Linear Regression in R

Description:

Embark on a comprehensive journey through R programming with this 10-hour tutorial series designed for beginners. Learn essential skills from downloading and installing R and RStudio to advanced topics like multiple linear regression for selection decisions. Master fundamental concepts including data manipulation, statistical analysis, and visualization techniques. Follow along with self-contained, long-form tutorials covering topics such as setting up your environment, reading and writing data, merging datasets, subsetting cases, computing turnover rates, and conducting various statistical tests. Download the accompanying data files to practice hands-on exercises and gain practical experience in R programming for data analysis and decision-making.

R for Beginners

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#Programming #Domain-Specific Languages (DSL) #R Programming #Data Science #Data Visualization #Mathematics #Statistics & Probability #Statistical Modeling #Regression Analysis #Statistical Analysis #Data Manipulation #t-tests