Introduction to Statistics with R
Informacje ogólne
| Kod przedmiotu: | 2500-PL-PS-SP15-02 |
| Kod Erasmus / ISCED: |
14.4
|
| Nazwa przedmiotu: | Introduction to Statistics with R |
| Jednostka: | Wydział Psychologii |
| Grupy: | |
| Punkty ECTS i inne: |
4.00
|
| Język prowadzenia: | angielski |
| Założenia (opisowo): | obligatory course in Social Research Specialization |
| Skrócony opis: |
(tylko po angielsku) This course is an introduction to the R programming language. The aim of the course is to give students knowledge and skills necessary to further work in R. During the course the students will learn the basics of working in the R environment, how to perform essential operations on data and basic statistical analyses in R. The classes will take a form of workshops during which students will first learn about different concepts and operations in R and next write their own code or work on the code provided by the instructor. Occasionally students will also have assigned readings. |
| Efekty uczenia się: |
(tylko po angielsku) The students who complete this course will gain competence in the R programming language and will be able to perform basic operations and analyses on their own. They will be able to apply the knowledge and skills gained in the course to analyze datasets from their own research. Knowledge The student: - Knows basic interface of RStudio - Understands the specificity of R programming language - Knows the types of objects present in R - Knows the types of data structures in R - Knows what loops and functions are in R Skills The student: - Can create their own loops and functions in R - Can load different data formats into R - Can manipulate and join datasets in R - Can make simple visualizations using ggplot2 package - Can compute basic summary statistics - Can perform basic statistical analyses in R Attitudes The student: - Can independently look for solutions to basic problems encountered in R - Understands the importance of building readable and reproducible code for research |
Zajęcia w cyklu "Semestr zimowy 2024/25" (zakończony)
| Okres: | 2024-10-01 - 2025-01-26 |
 
PN WT ŚR CZ CW
PT |
| Typ zajęć: |
Ćwiczenia, 30 godzin
|
|
| Koordynatorzy: | Michał Wypych | |
| Prowadzący grup: | Michał Wypych | |
| Lista studentów: | (nie masz dostępu) | |
| Zaliczenie: |
Przedmiot -
Zaliczenie na ocenę
Ćwiczenia - Zaliczenie na ocenę |
|
| Pełny opis: |
(tylko po angielsku) This course is an introduction to the R programming language. The aim of the course is to give students knowledge and skills necessary to further work in R. During the course the students will learn the basics of working in the R environment, how to perform essential operations on data and basic statistical analyses in R. The classes will take a form of workshops during which students will first learn about different concepts and operations in R and next write their own code or work on the code provided by the instructor. Occasionally students will also have assigned readings. The course requires students to bring their own computers to the class. |
|
| Literatura: |
(tylko po angielsku) 1. Course website: https://mic-wypych.github.io/psychuwr/ 2. Working with covariates: https://arelbundock.com/posts/acmq_en_06_dag/ 3. Working with model results: https://www.andrewheiss.com/blog/2022/05/20/marginalia/ |
|
Zajęcia w cyklu "Semestr zimowy 2025/26" (zakończony)
| Okres: | 2025-10-01 - 2026-01-25 |
PN WT ŚR CZ CW
PT |
| Typ zajęć: |
Ćwiczenia, 30 godzin
|
|
| Koordynatorzy: | Maciej Bieńkowski | |
| Prowadzący grup: | Maciej Bieńkowski | |
| Lista studentów: | (nie masz dostępu) | |
| Zaliczenie: |
Przedmiot -
Zaliczenie na ocenę
Ćwiczenia - Zaliczenie na ocenę |
|
| Pełny opis: |
(tylko po angielsku) This course is an introduction to the R programming language. The aim of the course is to give students knowledge and skills necessary to further work in R. During the course the students will learn the basics of working in the R environment, how to perform essential operations on data and basic statistical analyses in R. The classes will take a form of workshops during which students will first learn about different concepts and operations in R and next write their own code or work on the code provided by the instructor. Occasionally students will also have assigned readings. The course requires students to bring their own computers to the class. |
|
| Literatura: |
(tylko po angielsku) 1. Course website: https://mic-wypych.github.io/psychuwr/ 2. Working with covariates: https://arelbundock.com/posts/acmq_en_06_dag/ 3. Working with model results: https://www.andrewheiss.com/blog/2022/05/20/marginalia/ |
|
Właścicielem praw autorskich jest Uniwersytet Warszawski.
