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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怪物

毗鄰

施魔法

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.

Crumple

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.

萬花筒

萬花筒

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.

GUILE

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?

promote

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.

enterprise

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.