Welcome R Studio
u install Download :
https://cran.r-project.org/bin/windows/base/
Perintah Dasar:
Mereset Variabel:
closeAllConnections()
rm(list=ls())
Membersihkan Layar:
cat("\014")
Membersihkan Layar+Turun Baris:
cat("\014");
cat(rep("\n", 50))
Membuat Fungsi bersih:
bersih <- function()
cat("\014")
Membuat Fungsi Clear:
clear <- function() cat(c("\033[2J","\033[0;0H"))
Membaca Tipe Data:
typeof(variebl1)
Membuat Fungsi TypeData:
lstype<-function(type='closure'){
inlist<-ls(.GlobalEnv)
if (type=='function') type <-'closure'
typelist<-sapply(sapply(inlist,get),typeof)
return(names(typelist[typelist==type]))
}
Membuat ISI VARIABEL:
remove('variabl1','variable2','etc')
Membuat RANGE:
x1 <- runif(1, 5.0, 7.5)
x1 <- runif(10, 5.0, 7.5)
Membuat Array UNIQUE:
array unique
x3 <- sample(1:10, 1)
x3 <- sample(1:10, 10)
Membuat Array NOT UNIQUE:
x4 <- sample(1:10, 5, replace=T)
[1] 10 10 9 7 4 1 5 2 8 2 9 7 4 1 6
Membuat Array UNIQUE:
sample(state.name, 50)
Membuat Array RANDOM:
# load random
if (!require(random)) install.packages("random")
library(random)
Membuat Array RANDOM:
twentytruerandom <- randomNumbers(n=20, min=100, max=999, col=2, check=TRUE)
# note: the "check=" sets whether quota at server should be checked first
twentytruerandom
Membaca Home Working:
getwd()
(WD <- getwd())
if (!is.null(WD)) setwd(WD)
list.files(R.home())
list.files(WD)
Membaca Data External .csv:
MyData <- read.csv(file="c:/TheDataIWantToReadIn.csv", header=TRUE, sep=",")MyData <- read.csv(file="employee1.csv", header=TRUE, sep=",")
View(MyData)
Membaca Data External .xls:
Vars <- read_excel("employee2.xls")
View(Vars)
atau lengkapnya:
> library(readxl)
> employee2 <- read_excel("employee2.xls")
> View(employee2)
https://cran.r-project.org/bin/windows/base/
Perintah Dasar:
Mereset Variabel:
closeAllConnections()
rm(list=ls())
Membersihkan Layar:
cat("\014")
Membersihkan Layar+Turun Baris:
cat("\014");
cat(rep("\n", 50))
Membuat Fungsi bersih:
bersih <- function()
cat("\014")
Membuat Fungsi Clear:
clear <- function() cat(c("\033[2J","\033[0;0H"))
Membaca Tipe Data:
typeof(variebl1)
lstype<-function(type='closure'){
inlist<-ls(.GlobalEnv)
if (type=='function') type <-'closure'
typelist<-sapply(sapply(inlist,get),typeof)
return(names(typelist[typelist==type]))
}
Membuat ISI VARIABEL:
remove('variabl1','variable2','etc')
Membuat RANGE:
x1 <- runif(1, 5.0, 7.5)
x1 <- runif(10, 5.0, 7.5)
Membuat Array UNIQUE:
array unique
x3 <- sample(1:10, 1)
x3 <- sample(1:10, 10)
Membuat Array NOT UNIQUE:
x4 <- sample(1:10, 5, replace=T)
[1] 10 10 9 7 4 1 5 2 8 2 9 7 4 1 6
Membuat Array UNIQUE:
sample(state.name, 50)
Membuat Array RANDOM:
# load random
if (!require(random)) install.packages("random")
library(random)
Membuat Array RANDOM:
twentytruerandom <- randomNumbers(n=20, min=100, max=999, col=2, check=TRUE)
# note: the "check=" sets whether quota at server should be checked first
twentytruerandom
Membaca Home Working:
getwd()
(WD <- getwd())
if (!is.null(WD)) setwd(WD)
list.files(R.home())
list.files(WD)
Membaca Data External .csv:
MyData <- read.csv(file="c:/TheDataIWantToReadIn.csv", header=TRUE, sep=",")MyData <- read.csv(file="employee1.csv", header=TRUE, sep=",")
View(MyData)
Membaca Data External .xls:
Vars <- read_excel("employee2.xls")
View(Vars)
atau lengkapnya:
> library(readxl)
> employee2 <- read_excel("employee2.xls")
> View(employee2)

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