단축기
ctrl + alt + I : r 코드 입력란 삽입
alt + - : <- 삽입 ctrl + shift + enter: environment에 값 출력
ctrl + s : 저장
ctrl + shift +c : 코드를 노트로 변환 맨 앞에 # 삽입 ctrl + shift + m : %>% 삽입
데이터의 종류
변수 : var__
상수 : const__
값 : date
var.a <- 1
var.b <- 2
var.a + var.b
함수의 종류
c() 숫자타입의 변수를 생성
vector :: c(1,2,5,7,8) vector :: c(1:100) - 1부터 100까지 vecotr :: seq(1,10, by=2) - 1부터 10까지
vec.a <- c(1,2,5,7,8)
vec.a
[1] 1 2 5 7 8
vec.b <-c(1:5)
vec.b
[1] 1 2 3 4 5
vec.c <- seq(2,10, by=2)
vec.c
[1] 2 4 6 8 10
vec.b + vec.c
[1] 3 6 9 12 15
c() 문자타입의 변수를 생성
var.a <- "a"
var.a
[1] "a"
var.b <- c("Hello","world","is","good!!")
var.b
[1] "Hello" "world" "is" "good!!"
Scalar
스칼라(영어: scalar 스케일러[*])란 크기만 있고 방향을 가지지 않는 양을 말한다.
위키백과
Vector
벡터(vector)는 방향과 크기의 의미를 모두 포함하는 표현 도구 / 한 벡터내 인수는 동일한 형질 (키, 몸무게 등)
위키백과
Dataframe
raw(case, 대상하나의 정보) 과 Column(var+data) 로 구성된 사각형 모양의 표 (clomn은 하나의 vector를 의미) data.frame()
Warning message:
In strsplit(code, "\n", fixed = TRUE) :
input string 1 is invalid in this locale
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