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Steven Holland

Lecture Notes

Introduction to R and statistics

Introduction

Plotting concepts

Sampling design

Statistics fundamentals

Hypothesis testing

Type I and II errors

P-values and confidence intervals

Assumptions of tests

Common univariate and bivariate tests

Variance

Central tendency

ANOVA

Correlation

Regression

Resampling

Likelihood

Bayesian statistics

Regression and multivariate analysis

Multiple regression

Generalized Linear Models

Non-linear regression

Cluster analysis

Principal components analysis

Non-metric multidimensional scaling

Discriminant function analysis