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
State of the course: taught
Language: Czech
Teaching methods: full-time
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
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)