R programming fundamentals : deal with data using various modeling techniques /: deal with data using various modeling techniques. (2018)

• Record Type: Book
• Further Information: Note: Kaelen Medeiros.
• Authors: Medeiros, Kaelen
• Contents: Intro; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Introduction to R; Using R and RStudio, and Installing Useful Packages; Using R and RStudio; Executing Basic Functions in the R Console; Setting up a New Project ; Installing Packages; Activity: Installing the Tidyverse Packages; Variable Types and Data Structures; Variable Types; Numeric and Integers; Character; Dates; Activity: Identifying Variable Classes and Types; Data Structures; Vectors; Lists; Matrices; Dataframes; Activity: Creating Vectors, Lists, Matrices, and Dataframes. Basic Flow ControlIf/else; For loop; While loop; Activity: Building Basic Loops; Data Import and Export; Excel Spreadsheets; Activity: Exporting and Importing the mtcars Dataset; Getting Help with R; Package Documentation and Vignettes; Activity: Exploring the Introduction to dplyr Vignette; RStudio Community, Stack Overflow, and the Rest of the Web; Summary; Data Visualization and Graphics; Creating Base Plots; The plot() Function; Factor Variables; Model Objects; Plotting More Than One Plot at a Time; Creating and Plotting a Linear Model Object; Titles and Axis Labels. Changing the Color of Base PlotsActivity: Recreating Plots with Base Plot Methods; ggplot2; ggplot2 Basics; Histogram; Creating Histograms using ggplot2; Bar Chart; Creating a Bar Chart with ggplot2 using Two Different Methods; Scatterplot; Creating a Scatterplot of Two Continuous Variables; Boxplot; Creating Boxplots using ggplot2; Activity: Recreating Plots Using ggplot2; Digging into aes(); Bar Chart; Using Different Bar Chart Aesthetic Options; Facet Wrapping and Gridding; Utilizing Facet Wrapping and Gridding to Visualize Data Effectively; Boxplot + coord_flip(); Scatterplot. Utilizing Different Aesthetics for Scatterplots, Including Shapes, Colors, and TransparenciesActivity: Utilizing ggplot2 Aesthetics; Extending the Plots with Titles, Axis Labels, and Themes; Interactive Plots; Plotly; Shiny; Exploring Shiny and Plotly; Summary; Data Management; Factor Variables; Creating Factor Variables in a Dataset; Using ifelse() Statements; Using the recode() Function; Examining and Changing the Levels of Pre-existing Factor Variables; Creating an Ordered Factor Variable; Activity: Creating and Manipulating Factor Variables; Summarizing Data; Data Summarization Tables. Tables in RCreating Different Tables Using the table() Function; Using dplyr Methods to Create Data Summary Tables; Activity: Creating Data Summarization Tables; Summarizing Data with the Apply Family; Using the apply() Function to Create Numeric Data Summaries; Activity: Implementing Data Summary; Splitting, Combining, Merging, and Joining Datasets; Splitting and Combining Data and Datasets; Splitting and Unsplitting Data with Base R and the dplyr Methods; Splitting Datasets into Lists and Then Back Again; Combining Data; Combining Data with rbind().
• Publisher Details: Birmingham : Packt Publishing Ltd
• Publication Date: 2018
• Extent: 1 online resource (202 pages)
• Subjects: 519.502855133; R (Computer program language); Application software -- Development; Statistics -- Data processing; Application software -- Development; Electronic books
• Languages: English
• ISBNs: 9781789616101; 1789616107
• Notes: Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.