This is the collection of R Tutorials for the Data Analysis and Statistical Methods (DASM) WMEE14000 course at the University of Groningen
- Practical 1 - into to basic R functions, vectors, sequences, matrices and data frames.
- Practical 2 - plotting with ggplot2, loading CSV files, using dplyr for data frame operations.
- For this practical you will need to download the UNFCCC_CO2_Emissions.csv to your computer.
- Practical 3 - Bayes' Theorem, Statistical Distributions.
- Practical 4 - Hypothesis testing, t-tests, test for equality in variance.
- Practical 5 - Cross-tabulation, Chi-square test for goodness of fit, Chi-square test of independence, Quantile-Quantile Plots, One-way ANOVA test, Monte Carlo Simulation
- Practical 6 - Linear fitting, regression diagnostics, reduced major axis regression, multiple regression, replacing values with NA
- Practical 7 - Dates and Times, Time Series Objects, Moving Averages, Lagging Time Values, Auto- and Cross- Covariance and -Correlation Function Estimation, Decomposition, Seasonal Decomposition of Time Series by Loess (stl)
- Practical 1 - into to basic R functions, plotting with ggplot2, loading CSV files, online materials for learning R.
- For this practical you will need to download the UNFCCC_CO2_Emissions.csv to your computer.
- Practical 2 - Bayes' Theorem and Distributions.
- Practical 3 - Hypothesis testing using t-tests
- Practical 4 - Test for equality in variance, Chi-square test, One-way ANOVA test
- Practical 5 - Monte Carlo, missing values in data, dates & times, dplyr
- Practical 6 - Linear regression
- Practical 7 - Moving average, auto- and cross- covariance and -correlation function estimation, time series decomposition