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" Using R for data analysis in social sciences : "
Quan Li.
Document Type
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BL
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Record Number
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873277
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Main Entry
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Li, Quan,1966-
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Title & Author
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Using R for data analysis in social sciences : : a research project-oriented approach /\ Quan Li.
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Publication Statement
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New York, NY :: Oxford University Press,, 2019.
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Page. NO
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1 online resource :: illustrations (black and white)
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ISBN
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0190656255
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: 9780190656256
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Notes
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Previously issued in print: 2018.
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Bibliographies/Indexes
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Includes bibliographical references and index.
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Abstract
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Statistical analysis is common in the social sciences, and among the more popular programs is R. This text provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualise, and analyse data. The focus is on how to address substantive questions with data analysis and replicate published findings. The work 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, visualise data and findings via histograms, boxplots, scatterplots, and diagnostic plots, and analyse data using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares regression, and model assumption diagnostics.
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Subject
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R (Computer program language)
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Subject
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Social sciences-- Research-- Data processing.
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Subject
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Social sciences-- Statistical methods.
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Subject
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R (Computer program language)
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Subject
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Social sciences-- Research-- Data processing.
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Subject
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Social sciences-- Statistical methods.
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Dewey Classification
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330.2855133
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LC Classification
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H61.3.L52 2019
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