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Titlebook: Data Analysis with RStudio; An Easygoing Introdu Franz Kronthaler,Silke Z?llner Textbook 2021 The Editor(s) (if applicable) and The Author(

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發(fā)表于 2025-3-21 17:25:09 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Analysis with RStudio
副標(biāo)題An Easygoing Introdu
編輯Franz Kronthaler,Silke Z?llner
視頻videohttp://file.papertrans.cn/263/262669/262669.mp4
概述Shows how RStudio can easily be used for data analysis.Includes descriptive statistics, creating graphics, testing hypotheses, ANOVA and regression with RStudio.Provides exercises with solutions.Recom
圖書封面Titlebook: Data Analysis with RStudio; An Easygoing Introdu Franz Kronthaler,Silke Z?llner Textbook 2021 The Editor(s) (if applicable) and The Author(
描述?The objective of this text is to introduce RStudio to practitioners and students and enable them to use R in their everyday work. It is not a statistical textbook, the purpose is to transmit the joy of analyzing data with RStudio. Practitioners and students learn how RStudio can be installed and used, they learn to import data, write scripts and save working results. Furthermore, they learn to employ descriptive statistics and create graphics with RStudio. Additionally, it is shown how RStudio can be used to test hypotheses, run an analysis of variance and regressions. To deepen the learned content, tasks are included with the solutions provided at the end of the textbook. This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland..
出版日期Textbook 2021
關(guān)鍵詞RStudio; describing and analyzing data with RStudio; ggplot2; testing hypotheses with RStudio; linear re
版次1
doihttps://doi.org/10.1007/978-3-662-62518-7
isbn_softcover978-3-662-62517-0
isbn_ebook978-3-662-62518-7
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE
The information of publication is updating

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沙發(fā)
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板凳
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地板
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https://doi.org/10.1007/978-3-658-41728-4This chapter shows you how to investigate your data with descriptive key figures like mean, variance and correlation coefficient. It then illustrates how you can construct and plot graphs like histograms, boxplots and scatterplots.
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發(fā)表于 2025-3-22 11:03:53 | 只看該作者
Oliver Adam,Wolfgang Beck,Ilona NordThis chapter introduces you to four possibilities to check if your variable is normally distributed in RStudio. This is often a prerequisite for statistical methods.
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Einführung zum methodischen VorgehenWe hope that this script has awakened your interest in data analysis. Of course, this is only a first introduction and there is still much to discover.
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發(fā)表于 2025-3-22 23:13:36 | 只看該作者
https://doi.org/10.1007/978-3-319-34144-6Whenever we collect data ourselves or use secondary data, it might happen that we have missing values. If, for example, a participant in our survey does not answer a question, this value is missing. How do we deal with it?
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發(fā)表于 2025-3-23 03:34:56 | 只看該作者
R and RStudio,This chapter introduces you to R and RStudio and explains all you need to know to get started. It starts with downloading R and RStudio and gives you an overview of the screen. It then shows how to work with scripts and packages.
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發(fā)表于 2025-3-23 06:24:16 | 只看該作者
Data Analysis Basics with RStudio,This chapter explains how you import data into RStudio and how you can have a first look at your data. It then shows how to create or modify data and select cases. The chapter then illustrates important commands and shows how to write scripts and create reports.
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