R Statistics Cookbook : Over 100 Recipes for Performing Complex Statistical Operations with R 3. 5 / Francisco Juretig.

Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Getting Started with R and Statistics; Introduction; Technical requirements; Maximum likelihood estimation; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Calculating densities, quantiles, and CDFs; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Creating barplots using ggplot; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Generating random numbers from multiple distributions; Getting ready; How to do it ...

How it works ... There's more ... ; Complex data processing with dplyr; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; 3D visualization with the plot3d package; Getting ready; How to do it ... ; How it works ... ; Formatting tabular data with the formattable package; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Simple random sampling; Getting ready; How to do it ... ; How it works ... ; Creating diagrams via the DiagrammeR package; Getting ready; How to do it ... ; How it works ... ; See also; C++ in R via the Rcpp package; Getting ready; How to do it ...

How it works ... See also; Interactive plots with the ggplot GUI package; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Animations with the gganimate package; Getting ready; How to do it ... ; How it works ... ; See also; Using R6 classes; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Modeling sequences with the TraMineR package; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Clustering sequences with the TraMineR package; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Displaying geographical data with the leaflet package

Getting readyHow to do it ... ; How it works ... ; Chapter 2: Univariate and Multivariate Tests for Equality of Means; Introduction; The univariate t-test; Getting ready; How to do it ... ; How it works ... ; There's more ... ; The Fisher-Behrens problem; How to do it ... ; How it works ... ; There's more ... ; Paired t-test; How to do it ... ; How it works ... ; There's more ... ; Calculating ANOVA sum of squares and F tests; How to do it ... ; Two-way ANOVA; How to do it ... ; How it works ... ; There's more ... ; Type I, Type II, and Type III sum of squares; Type I; Type II; Type III; Getting ready; How to do it ...

How it works ... Random effects; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Repeated measures; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Multivariate t-test; Getting ready ... ; How to do it ... ; How it works ... ; There's more ... ; MANOVA; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Chapter 3: Linear Regression; Introduction; Computing ordinary least squares estimates ; How to do it ... ; How it works ... ; Reporting results with the sjPlot package ; Getting ready ; How to do it ... ; How it works ... ; There's more ...

Finding correlation between the features

With this book, you will learn to execute a series of intermediate to advanced statistical tasks as you walk through each chapter. You will not only get well versed with the traditional statistics but you will also cover the necessary statistics required for machine learning and deep learning concepts.

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