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Background Work with WorkManager - Java

Background Work with WorkManager - Java WorkManager is a compatible, flexible, and simple library for deferred background work that is covered in this codelab. WorkManager is the recommended task scheduler on Android for deferred work that must be completed. Description In this course, you will : Adding WorkManager to your project Scheduling a simple task Input and output parameters Chaining work Unique work Displaying work status in the UI Cancelling work Work constraints Syllabus : Add WorkManager to your app Make your first WorkRequest Add Input and Output ...
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[100% FREE] R Programming

R Programming

In this course you will learn how to program in R and how to use R for effective data analysis.

Description

This course will teach you how to programme in R as well as how to use R for effective data analysis. You'll learn how to instal and configure the software required for a statistical programming environment, as well as how to describe generic programming language concepts as they're implemented in a high-level statistical language. The course covers practical issues in statistical computing such as programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, organising and commenting R code, and so on. Working examples will be provided by topics in statistical data analysis.

Syllabus :

1. Background, Getting Started, and Nuts & Bolts

  • Installing R on a Mac
  • Installing R on Windows
  • Installing R Studio (Mac)
  • Writing Code / Setting Your Working Directory (Windows)
  • Writing Code / Setting Your Working Directory (Mac)
  • Introduction
  • Overview and History of R
  • Getting Help
  • R Console Input and Evaluation
  • Data Types - R Objects and Attributes
  • Data Types - Vectors and Lists
  • Data Types - Matrices
  • Data Types - Factors
  • Data Types - Missing Values
  • Data Types - Data Frames
  • Data Types - Names Attribute
  • Data Types - Summary
  • Reading Tabular Data
  • Reading Large Tables
  • Textual Data Formats
  • Connections: Interfaces to the Outside World
  • Subsetting - Basics
  • Subsetting - Lists
  • Subsetting - Matrices
  • Subsetting - Partial Matching
  • Subsetting - Removing Missing Values
  • Vectorized Operations
  • Introduction to swirl

 

2. Programming with R

  • Control Structures - Introduction
  • Control Structures - If-else
  • Control Structures - For loops
  • Control Structures - While loops
  • Control Structures - Repeat, Next, Break
  • Your First R Function
  • Functions (part 1)
  • Functions (part 2)
  • Scoping Rules - Symbol Binding
  • Scoping Rules - R Scoping Rules
  • Scoping Rules - Optimization Example (OPTIONAL)
  • Coding Standards
  • Dates and Times

 

3. Loop Functions and Debugging

  • Loop Functions - lapply
  • Loop Functions - apply
  • Loop Functions - mapply
  • Loop Functions - tapply
  • Loop Functions - split
  • Debugging Tools - Diagnosing the Problem
  • Debugging Tools - Basic Tools
  • Debugging Tools - Using the Tools

 

4. Simulation & Profiling

  • The str Function
  • Simulation - Generating Random Numbers
  • Simulation - Simulating a Linear Model
  • Simulation - Random Sampling
  • R Profiler


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