Introduction to R and Statistics

Introduction to R and Statistics


Introduction to R and Statistics 26 SeptemberSep 2019 - 29 SeptemberSep 2019 Europe/Bucharest
ICUB

Organized by: Laurențiu Leuștean and Alina Tigău

The Research Institute of the University of Bucharest (ICUB) announces the sixth workshop within the series  'Introduction to R and Statistics', which is to take place between September 26 and September 29, 2019.

'Introduction to R and Statistics' is a 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.

This sixth round of lectures and discussions have been scheduled for September 26-29 at the Sinaia Zoological Station of the University of Bucharest and aims at bringing together young researchers and PhD students from various faculties of the aforementioned institution. The lectures will be delivered by Elena Druică and Marius Jula, professors at the Faculty of Business Administration of the University of Bucharest.

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 and dbinoms() 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.

        For registration, please write to: icubstatisticsr@unibuc.ro

 

 

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26 Sep 00:00
12.00 - 19.30: Arrival & accomodation arrangements
19.30 - 20.30: Dinner
20.30-22.00: Warming-up activities
27 Sep 00:00
9.00 - 10.30: Variables, measuring levels, frequency distributions and graphic representations of qualitative variables
10.30-11.00: Coffee break
11.00-12.30: Measures of the central tendency, measures of variation and measures of positioning
12.30-16.00: Lunch break and free time activities
16.00-17.30: Introductory notions on probabilities, aleatory variables and probability distributions
17.30 - 18.00: Coffee break
18.00- 19.30: Sampling and sampling distributions
19.30- 20.30: Dinner

28 Sep 00:00
9.00 - 10.30 Brief presentations on experiments (grouped on domains)
10.30-10.45: Coffee break
10.45 -12.15: Confidence intervals, the t distribution
12.15-13.00: Lunch break and free time activities
13.00-14.30: Research design, testing hypotheses, the t test for averages
14.30 - 14.45: Coffee break
14.45 - 16.00: The t test for proportions, calculating test strength
19.30- 20.30: Dinner

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