1
Lecture 개요
1.1
Goal 강의 목표
1.2
References 참고 자료
1.3
Evaluation 평가 세부 항목
1.4
Schedule 강의 계획
1.5
Lecture note 강의 자료
2
Lecture 01 - R Introduction
3
Lecture 02 - R basics I
3.1
exercise 2-1: who function
4
Lecture 03 - R Basics II
4.1
matrix (행렬)
4.2
data.frame
4.3
list
4.4
File 읽기/쓰기
4.5
Excel file 읽기/쓰기
4.6
Exercise 3-2 standard deviation
4.7
Exercise 3-3 barplot with error bars
5
Lecture 04 - Maze Robot
5.1
Parameter/Argument, Global/Local
5.2
Exercise 4-1: Matrix indexing
5.3
Top-down design
5.4
Exercise 4-2: Draw world
5.5
Exercise 4-4: Generate map
5.6
Draw blocks and walls
5.7
Move one step
5.8
Sleep for delay
5.9
Move 50 steps
6
Lecture 05 - Multiple plate reader file
6.1
File I/O 파일 입출력
6.2
plot 산포도
6.3
hist 히스토그램
6.4
boxplot 상자그래프
6.5
barplot 막대그래프
6.6
other examples 그래프 예시
6.7
Multiplate reader 기능 구현
6.8
Multiplate reader function 만들기
7
Lecture 06 - Multiple plate reader / ggplot
7.1
multiple_plate_excel_reader 함수 만들기
7.2
multiple_plate_excel_reader2 함수 업데이트
7.3
Read data
7.4
ggplot 이용 barplot 그리기
8
Lecture 07 - ggplot / data transformation
8.1
Bar graph with basic graph functions
8.2
Bar graph with ggplot
8.3
Line graph with ggplot
8.4
Bar graph of the example dataset
8.5
ddplyr - pipe operator
8.6
dplyr - Important functions
9
Lecture 08 - ggplot / data transformation using dplyr
9.1
dplyr mutate / select 함수
9.2
ggplot2를 이용한 두 개의 bar graph 겹쳐 그리기
9.3
dplyr 이용한 iris data 가공
9.4
ggplot을 이용한 iris data 평균 값 및 에러 비교 그래프 그리기
10
Lecture 09 - ggplot / dlyr for 96well fluorescence data
10.1
dplyr functions
10.2
Data transformation using melt function
10.3
scale and theme of ggplot2
10.4
bargraph for 96well dataset
11
Lecture 10 - Sequence analysis in R I
11.1
Biostrings package for sequence analysis
11.1.1
Exercise 10-1
11.1.2
Exercise 10-2
11.1.3
Excercise 10-3
11.2
Download sequence information from NCBI
12
Lecture 11 - Sequence analysis in R II
12.1
Genbank data parsing
12.1.1
Exercise 11-1
12.2
IRanges for genome view
12.2.1
Exercise 11-2
12.2.2
Exercise 11-3
12.3
Feature view using IRanges and ggplot2
12.3.1
Exercise 11-4
13
Lecture 12 - Sequence analysis in R III
[2019 UST 일반강의] R 프로그래밍과 데이터 분석
2
Lecture 01 - R Introduction