Basic statistics with R

This course consists of a lecture component and a seminar component. In the lecture component, we explain the basic concept and calculation method of each statistic as well as points of note regarding its application, with the aim of teaching basic knowledge for analysis using descriptive statistics. In the seminar component, we learn how to practically apply the contents of the lectures by engaging in exercises in R. Please bring your own laptop to the seminars (Charging required. Please be prepared to connect to the Internet).

Descriptive statistics, R

1) 〇Introduction and installation of R & R Studio
2) 〇Basics of R
3) Variable types and frequency tables
4) Expressing distribution with graphs
5) 〇Exercises using R
6) Representative values
7) Distribution values
8) 〇Standardization/exercises using R
9) Correlation between two quantitative variables: Scatter plots, co-variance, and correlation coefficients
10) Correlation between two quantitative variables: Reading cross-tabulation tables
11) Correlation between two quantitative variables: Cross-tabulation statistics 1
12) Correlation between two quantitative variables: Cross-tabulation statistics 2
13) 〇Exercises using R
14) 〇Modern uses of R: Introduction to tidyverse
15) 〇Modern uses of R: Introduction to ggplot/Course survey
16) Final exam

〇 indicates a seminar class; however, the class contents may be adjusted according to how the students' understanding develops.

Syllabus (Japanese site only)