Marinstatslectures

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Bivariate Analysis MarinStatsLectures 4

 

The Series 4 videos will walk you through conducting bivariate analysis in R (and also a bit of univariate analysis, specifically the one-sample t-test for a population mean). The videos will discuss the paired and independent t-test, analysis of variance (ANOVA), the chi-square test of independence, relative risks and odds ratios, correlation, and simple linear regression, along with the non-parametric equivalents for all of these. Everything you'll need to get started working with bivariate analysis in R!

 Videos in Series 4 R Tutorial:

 

 One-Sample t Test in R (R Tutorial 4.1)Two-Sample t Test in R: Independent Groups (R Tutorial 4.2)Mann Whitney U aka Wilcoxon Rank-Sum Test in R (R Tutorial 4.3)Paired t Test in R (R Tutorial 4.4)Wilcoxon Signed Rank Test in R (R Tutorial 4.5)

Analysis of Variance (ANOVA) and Multiple Comparisons in R (R Tutorial 4.6)Chi-Square Test, Fishers Exact Test, and Cross Tabulations in R (R Tutorial 4.7)Relative Risk, Odds Ratio and Risk Difference (aka Attributable Risk) in R (R Tutorial 4.8)Correlation and Covariance in R (R Tutorial 4.9)