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