Guide to R for Social and Behavioral Science Statistics (e-bog) af William E. Wagner, III

Guide to R for Social and Behavioral Science Statistics e-bog

387,99 DKK (ekskl. moms 310,39 DKK)
A Guide to R for Social and Behavioral Science StatisticsA is a short, accessible book for learning R. This handy guide contains basic information on statistics for undergraduates and graduate students, shown in the R statistical language using RStudioA(R). The book is geared toward social and behavioral science statistics students, especially those with no background in computer science. Written…
A Guide to R for Social and Behavioral Science StatisticsA is a short, accessible book for learning R. This handy guide contains basic information on statistics for undergraduates and graduate students, shown in the R statistical language using RStudioA(R). The book is geared toward social and behavioral science statistics students, especially those with no background in computer science. Written as a companion book to be used alongside a larger introductory statistics text, the text follows the most common progression of statistics for social scientists. The guide also serves as a companion for conducting data analysis in a research methods course or as a stand-alone R and statistics text. This guide can teach anyone how to use R to analyze data, and uses frequent reminders of basic statistical concepts to accompany instructions in R to help walk students through the basics of learning how to use R for statistics.A
E-bog 387,99 DKK
Forfattere William E. Wagner, III (forfatter)
Udgivet 07.02.2020
Længde 304 sider
Genrer Social research and statistics
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9781544344034
A Guide to R for Social and Behavioral Science StatisticsA is a short, accessible book for learning R. This handy guide contains basic information on statistics for undergraduates and graduate students, shown in the R statistical language using RStudioA(R). The book is geared toward social and behavioral science statistics students, especially those with no background in computer science. Written as a companion book to be used alongside a larger introductory statistics text, the text follows the most common progression of statistics for social scientists. The guide also serves as a companion for conducting data analysis in a research methods course or as a stand-alone R and statistics text. This guide can teach anyone how to use R to analyze data, and uses frequent reminders of basic statistical concepts to accompany instructions in R to help walk students through the basics of learning how to use R for statistics.A