Course Curriculum
| Introduction | |||
| 1.1 Welcome to R programming | 00:00:00 | ||
| Getting Started | |||
| 2.1 Changing the appearance in RStudio | 00:00:00 | ||
| 2.2 Downloading and installing R & RStudio | 00:00:00 | ||
| 2.3 Installing packages and using the library | 00:00:00 | ||
| 2.4 Intro | 00:00:00 | ||
| The Building Rocks of R | |||
| 3.1 Building a function in R | 00:00:00 | ||
| 3.2 Coercion rules in R | 00:00:00 | ||
| 3.3 Creating an object in R | 00:00:00 | ||
| 3.4 Data types in R – Characters and logicals | 00:00:00 | ||
| 3.5 Data types in R – Integers and doubles | 00:00:00 | ||
| 3.6 Functions and arguments | 00:00:00 | ||
| 3.7 Functions in R | 00:00:00 | ||
| 3.8 Using the script vs. using the console | 00:00:00 | ||
| Vectors And Vector Operations | |||
| 4.1 Getting help with R | 00:00:00 | ||
| 4.2 Intro | 00:00:00 | ||
| 4.3 Introduction to vectors | 00:00:00 | ||
| 4.4 Slicing and indexing a vector | 00:00:00 | ||
| 4.5 Vector recycling | 00:00:00 | ||
| Matrices | |||
| 5.1 Categorical data | 00:00:00 | ||
| 5.2 Creating a factor in R | 00:00:00 | ||
| 5.3 Creating a matrix | 00:00:00 | ||
| 5.4 Do matrices recycle | 00:00:00 | ||
| 5.5 Faster code creating a matrix in a single line of code | 00:00:00 | ||
| 5.6 Indexing an element from a matrix | 00:00:00 | ||
| 5.7 Lists in R | 00:00:00 | ||
| 5.8 Matrix arithmetic | 00:00:00 | ||
| 5.9 Matrix operations | 00:00:00 | ||
| 5.10Slicing a matrix | 00:00:00 | ||
| Fundamentals of Programming with R | |||
| 6.1 Building a Function in R 2.0 | 00:00:00 | ||
| 6.2 For Loops in R | 00:00:00 | ||
| 6.3 If, Else, Else-If Keep-In-Minds | 00:00:00 | ||
| 6.4 If, Else, Else-If Statements | 00:00:00 | ||
| 6.5 Logical Operators and Vectors | 00:00:00 | ||
| 6.6 Logical Operators in R | 00:00:00 | ||
| 6.7 Relational Operators in R | 00:00:00 | ||
| 6.8 Repeat Loops in R | 00:00:00 | ||
| 6.9 Scoping in R Building a Function in R 2.0 (Ctnd) | 00:00:00 | ||
| 6.10 While Loops in R | 00:00:00 | ||
| Data Frames | |||
| 7.1 Creating a data frame Building a Function in R 2.0 (Ctnd) | 00:00:00 | ||
| 7.9 The Tidyverse package Building a Function in R 2.0 (Ctnd) | 00:00:00 | ||
| 7.2 Data export in R Building a Function in R 2.0 (Ctnd) | 00:00:00 | ||
| 7.3 Data import in R Building a Function in R 2.0 (Ctnd) | 00:00:00 | ||
| 7.4 Dealing with missing data Building a Function in R 2.0 (Ctn | 00:00:00 | ||
| 7.5 Extending a data frame in R Building a Function in R 2.0 (C | 00:00:00 | ||
| 7.6 Getting a sense of your data frame Building a Function in R | 00:00:00 | ||
| 7.7 Importing a CSV in R Building a Function in R 2.0 (Ctnd) | 00:00:00 | ||
| 7.8 Indexing and slicing a data frame in R Building a Function | 00:00:00 | ||
| Manipulating Data | |||
| 8.1 Data transformation with R – the Dplyr package – Part I Bui | 00:00:00 | ||
| 8.2 Data transformation with R – the Dplyr package – Part II Bu | 00:00:00 | ||
| 8.3 Intro Building a Function in R 2.0 (Ctnd) | 00:00:00 | ||
| 8.4 Sampling data with the Dplyr package Building a Function in | 00:00:00 | ||
| 8.5 Tidying your data – gather() and separate() Building a Func | 00:00:00 | ||
| 8.6 Tidying your data – unite() and spread() Building a Functio | 00:00:00 | ||
| 8.7 Using the pipe operator Building a Function in R 2.0 (Ctnd) | 00:00:00 | ||
| Visualizing Data | |||
| 9.1 Building a bar chart with ggplot2 Building a Function in R | 00:00:00 | ||
| 9.2 Building a box and whiskers plot with ggplot2 Building a Fu | 00:00:00 | ||
| 9.3 Building a histogram with ggplot2 Building a Function in R | 00:00:00 | ||
| 9.4 Building a scatterplot with ggplot2 Building a Function in | 00:00:00 | ||
| 9.5 Intro Building a Function in R 2.0 (Ctnd) (1) | 00:00:00 | ||
| 9.6 Intro to data visualization Building a Function in R 2.0 (C | 00:00:00 | ||
| 9.7 Intro to ggplot2 Building a Function in R 2.0 (Ctnd) | 00:00:00 | ||
| 9.8 Variables revisited Building a Function in R 2.0 (Ctnd) | 00:00:00 | ||
| Exploratory Data Analysis | |||
| 10.1 Covariance and correlation Building a Function in R 2.0 (Ct | 00:00:00 | ||
| 10.2 Mean, median, mode Building a Function in R 2.0 (Ctnd) | 00:00:00 | ||
| 10.3 Population vs. sample Building a Function in R 2.0 (Ctnd) | 00:00:00 | ||
| 10.4 Skewness Building a Function in R 2.0 (Ctnd) | 00:00:00 | ||
| 10.5 Variance, standard deviation, and coefficient of variability | 00:00:00 | ||
| Hypothesis testing | |||
| 11.1 Comparing Two Means. Independent Samples | 00:00:00 | ||
| 11.2 Distributions Building a Function in R 2.0 (Ctnd) | 00:00:00 | ||
| 11.3 Test for the Mean. Population Variance Known | 00:00:00 | ||
| 11.4 Test for the Mean. Population Variance Unknown | 00:00:00 | ||
| 11.5 The P Value | 00:00:00 | ||
| 11.6 Type I and Type II Errors | 00:00:00 | ||
| Linear Regression Analysis | |||
| 12.1 Correlation vs. Regression | 00:00:00 | ||
| 12.2 Decomposition of Variability | 00:00:00 | ||
| 12.3 Doing the Regression in R | 00:00:00 | ||
| 12.4 Geometrical Representation | 00:00:00 | ||
| 12.5 How to Interpret the Regression | 00:00:00 | ||
| 12.6 R-Squared | 00:00:00 | ||
| 12.7 The Linear Regression Model | 00:00:00 | ||
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