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R Tutorial

R Tutorial

  • 课程主讲:
  • 视频数量:39讲
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  • 课程时长:4小时3分钟
  • 所属分类:编程语言
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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)