“Introduction to R and Statistics” represents the first session of a longer series of workshops hosted by ICUB, whose aim is to support researchers unfolding experimental work within various fields to get acquainted with and become proficient in using statistical methods in order to design and analyse their experiments. The lectures and discussions will dwell on various topics on statistics, associating these with corresponding topics on R, a programming language which has been rapidly gaining popularity in statistics and data science in the past few years, and which has lately become the norm for most research fields worldwide.
The first round of lectures and discussions will bring together young researchers and PhD students from University of Bucharest: Faculty of Foreign Languages and Literatures, Faculty of Biology, Faculty of Letters, Faculty of Psychology, Faculty of Sociology and Social Assistance, Faculty of History and ICUB.
Organizers: Laurențiu Leuștean (University of Bucharest), Alina Tigau (University of Bucharest)
Lecturer: Adrian Dușa (University of Bucharest).
A detailed version of the Program may be found below:
Friday, 7.12.2018
| Time interval | Activities |
| 9.00 – 11.30 | Variables, measuring levels, frequency distributions and graphic representations of qualitative variables |
| 11.30-12.00 | Coffee break |
| 12.00-13.30 | Measures of the central tendency, measures of variation and measures of positioning |
| 13.30-15.00 | Lunch break and discussions |
| 15.00-16.30 | Introductory notions on probabilities, aleatory variables and probability distributions |
| 16.30 – 17.00 | Coffee break |
| 17.00- 18.30 | Sampling and sampling distributions |
Saturday, 8.12.2018
| Time interval | Activities |
| 9.00 – 11.30 | Brief presentations on experiments (grouped on domains) |
| 11.30-12.00 | Coffee break |
| 12.00-13.30 | Confidence intervals, the t distribution |
| 13.30-15.00 | Lunch break and discussions |
| 15.00-16.30 | Research design, testing hypotheses, the t test for averages |
| 16.30 – 17.00 | Coffee break |
| 17.00- 18.30 | The t test for proportions, calculating test strength |
Associated to the statistics topics, the following topics on R will be touched upon:
1. Types of objects in R: vectors
2. Types of objects in R: matrices and data frames. Importing data
3. Functions and formal arguments with a focus on those concerning probability calculus. The dbinom() function in R base anddbinoms() function in the ‘statistics’ package (to be handed out before the training)
4. The functions: sample(), dnorm(), pnorm(), qnorm() in the R base
5. Applications of the aforementioned functions and the daria() and dariat() functions from the ‘statistics’ package
6. The t.test() function and its arguments
7. The prop.test() function and its arguments; the pwr.p.test() function for proportions and the pwr.t.test() function for averages from the “pwr” package.