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Data analysis in R - M320078

Title:	Vyhodnocení dat ve statistickém balíku R
Guaranteed by:	Department of Biochemistry and Microbiology (320)
Faculty:	Faculty of Food and Biochemical Technology
Actual:	from 2022
Semester:	both
Points:	2
E-Credits:	2
Examination process:
Hours per week, examination:	0/15, C [HS]
Capacity:	winter:unknown / 20 (unknown) summer:unknown / unknown (unknown)
Min. number of students:	unlimited
Qualifications:
State of the course:	taught
Language:	Czech
Teaching methods:	full-time
Level:
Additional information:	https://github.com/spiwokv/Rtutorial
Note:	course can be enrolled in outside the study plan enabled for web enrollment you can enroll for the course in winter and in summer semester

Guarantor:	Spiwok Vojtěch prof. Ing. Ph.D.
Class:	Kurz CŽV
Classification:	Mathematics > Probability and Statistics

Examination dates

This subject contains the following additional online materials

E-learning course

Annotation -

Data Analysis in R is a practical tutorial focused on analysis and visualization of data in R package. It includes basic data handling, plotting, most common uni- as well as multivariate statistics and other methods.

Last update: Spiwok Vojtěch (06.08.2019)

Literature -

https://github.com/spiwokv/Rtutorial/blob/master/book/all.pdf

Last update: Spiwok Vojtěch (06.08.2019)

Syllabus -

1. Reading and writing files in R, analyzing data in R

2. Plotting in R

3. Random numbers in R

4. Univariate descriptive statistics in R, confidence intervals in R

5. One-sample t-test in R, two-sample t-test in R

6. Non-parametric tests

7. Analysis of Variance

8. P-value adjustment and other approaches for multiple comparisons

9. Bi- and multivariate descriptive statistics

10. Linear models

11. Principal Component Analysis

12. Cluster Analysis

13. Programming, next Steps

Last update: Spiwok Vojtěch (06.08.2019)