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Обычная версия сайта
2023/2024

# Основы синтаксиса R

Статус: Маго-лего
Когда читается: 1 модуль
Охват аудитории: для всех кампусов НИУ ВШЭ
Язык: английский
Кредиты: 3
Контактные часы: 30

### Course Syllabus

#### Abstract

This course is designed to help students with no prior computer programming experience learn to think computationally and write code to solve problems using R-language. This course will cover the basics of computing and procedural programming, including mathematical, relational, and logical operators, variables and variable types, the basics of style and commenting, iterative solutions, arrays, matrices and their applications, sorting and searching algorithms, elements of string processing, structures, ways to correctly store and represent information. Each topic is illustrated with a set of real-world examples.

#### Learning Objectives

• The goal of the course is to introduce students to fundamentals in using R. The primary objective of the course is providing students with a brief introduction to many topics so they will have an idea of what is possible when they need to think about how to use computation to accomplish some goal for analyzing the data during their education and later, in their career. The secondary objective is to show examples and real researches in which programming skills were applied in order to speed up the data processing

#### Expected Learning Outcomes

• Students know the basic types of objects used in R
• Students can perform basic mathematical and logical operations with basic types of objects in R
• Students know the structure and types of loops in R
• Students can carry out a full cycle of data pre-processing operations in R
• Students can use basic R tools to visualize data
• Students can create data frames and load data frames into R.
• Students can operate the data frame data type in R: add and delete columns in a data frame, filter and aggregate data frames, merge data frames and reshape a data frame (convert from wide to long representation and vice versa).

#### Course Contents

• Introduction to R and R-Studio software, acquaintance with the logic of the R language
• Basic types of R objects
• Basic operations on R objects
• Loops in R
• Pre-processing data in R
• Introduction to descriptive statistics in R
• Basics of data visualization in R

#### Assessment Elements

• Homeworks
This task includes several items for working with basic objects in R and applying mathematical operations.
• Test
• Project
You will need to independently look for how to solve several tasks.
• Final Test

#### Interim Assessment

• 2023/2024 1st module
0.25 * Final Test + 0.23 * Homeworks + 0.3 * Project + 0.22 * Test

#### Recommended Core Bibliography

• R в действии : анализ и визуализация данных в программе R, Кабаков, Р. И., 2014