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Hands-On Exploratory Data Analysis with R

You're reading from  Hands-On Exploratory Data Analysis with R

Product type Book
Published in May 2019
Publisher Packt
ISBN-13 9781789804379
Pages 266 pages
Edition 1st Edition
Languages
Authors (2):
Radhika Datar Radhika Datar
Profile icon Radhika Datar
Harish Garg Harish Garg
Profile icon Harish Garg
View More author details

Table of Contents (17) Chapters

Preface 1. Section 1: Setting Up Data Analysis Environment
2. Setting Up Our Data Analysis Environment 3. Importing Diverse Datasets 4. Examining, Cleaning, and Filtering 5. Visualizing Data Graphically with ggplot2 6. Creating Aesthetically Pleasing Reports with knitr and R Markdown 7. Section 2: Univariate, Time Series, and Multivariate Data
8. Univariate and Control Datasets 9. Time Series Datasets 10. Multivariate Datasets 11. Section 3: Multifactor, Optimization, and Regression Data Problems
12. Multi-Factor Datasets 13. Handling Optimization and Regression Data Problems 14. Section 4: Conclusions
15. Next Steps 16. Other Books You May Enjoy

Hypothesis tests

The hypothesis test in R is an assumption made by the researcher to examine the population of the data collected for any experiment and consideration. In the first step, we will introduce the statistical hypothesis in R, and then cover the decision error in R, comprising one and two sample t-tests, and a u-test that entails a simple hypothesis and correlation. We will focus on covariance, comprising directional hypotheses, which is explained in a later section.

Statistical hypothesis in R

A statistical hypothesis is an assumption, or rather a presumption, made by the researcher about the data that is collected in relation to an experiment. This assumption does not have to be true every time. Hypothesis testing...

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