RStudio. R Markdown for reproducible research.
Basic R programming. Logical expressions. Vectors, matrices, data frames, lists. Reading, writing, editing data. Read data downloaded from the internet. Conditional execution. Loops. Recursion. Fast R code and vectorization.
Descriptive statistics. Plotting.
Nonparametric hypothesis testing. Rank tests.
Analysis of tabular data.
Analysis of variance. Parametric and nonparametric one-way ANOVA. Post-hoc analysis and multiple comparisons. Two-way ANOVA.
Correlation and concordance.
Linear regression. Estimation and hypothesis testing. Goodness of fit.