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  • 1.1 Getting Started With R
  • 1.4 Importing Data and Working With Data in R
  • 1.5 Working with Variables and Data in R
  • 1.7 Logic Statements (TRUE_FALSE and cbind and rbind Command in R
  • 1.10 Installing Packages in R
  • 1.11 Customizing The Look of R Studio
  • 2.1 Bar Charts and Pie Charts in R
  • 2.2 Boxplots and Boxplots With Groups in R
  • 2.3 Histograms in R
  • 2.8 Modifying Plots in R
  • 2.9 Adding Text to Plots in R
  • 2.10 Adding Legends to Plots in R
  • 3.1 Binomial Distribution in R
  • 3.2 Poisson Distribution in R
  • 3.3 Normal Distribution, Z Scores, and Normal Probabilities in R
  • 3.4 t Distribution and t Scores in R
  • 4.1 One-Sample t Test in R
  • 4.2 Two-Sample t Test in R_ Independent Groups
  • 4.3 Mann Whitney U aka Wilcoxon Rank-Sum Test in R
  • 4.4 Paired t Test in R
  • 4.5 Wilcoxon Signed Rank Test in R
  • 4.6 Analysis of Variance (ANOVA and Multiple Comparisons in R
  • 4.9 Correlation and Covariance in R
  • 5.1 Linear Regression in R
  • 5.2 Checking Linear Regression Assumptions in R
  • 5.3 Multiple Linear Regression in R
  • 5.4 Changing a Numeric Variable to Categorical Variable in R
  • 5.5 Dummy Variables or Indicator Variables
  • 5.7 Categorical Variables or Factors in Linear Regression in R
  • 5.8 Categorical Variables in Linear Regression in R, Example 2
  • 5.9 Multiple Linear Regression with Interaction in R
  • 5.10 Interpreting Interaction in Linear Regression
  • 5.11 Partial F Test for Variable Selection for Linear Regression in R
  • Change Reference_Baseline Category for a Categorical Variable
  • Creating Vectors, Matrices, and Other Intro
  • Download, Install and Setup R & RStudio
  • Import Data, Copy Data from Excel to R, Both .csv and .txt Formats
  • Relative Risk, Odds Ratio and Risk Difference (aka Attributable Risk in R
  • Summary Statistics in R_ Mean, Standard Deviation, Frequencies
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