Using R for Data Analysis in Social Sciences is popular PDF and ePub book, written by Quan Li in 2018, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Using R for Data Analysis in Social Sciences can be Read Online from any device for your convenience.
Using R for Data Analysis in Social Sciences Book PDF Summary
Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist approach and covers only the most important functions and skills in R to conduct reproducible research. It emphasizes the practical needs of students using R by showing how to import, inspect, and manage data, understand the logic of statistical inference, visualize data and findings via histograms, boxplots, scatterplots, and diagnostic plots, and analyze data using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics. It also demonstrates how to replicate the findings in published journal articles and diagnose model assumption violations. Because the book integrates R programming, the logic and steps of statistical inference, and the process of empirical social scientific research in a highly accessible and structured fashion, it is appropriate for any introductory course on R, data analysis, and empirical social-scientific research.
Detail Book of Using R for Data Analysis in Social Sciences PDF
- Author : Quan Li
- Release : 20 May 2024
- Publisher : Oxford University Press
- ISBN : 9780190656218
- Genre : Business & Economics
- Total Page : 369 pages
- Language : English
- PDF File Size : 12,7 Mb
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