data<-read.table(header=TRUE, text='
No. gender age
1 Male 17
2 Female NA
3 Male 29
4 Male 14
')
data
## No. gender age
## 1 1 Male 17
## 2 2 Female NA
## 3 3 Male 29
## 4 4 Male 14
write.table(data,"dataset.csv",sep="t/",row.names = FALSE)
for (i in 1:5){print("Hello")}
## [1] "Hello"
## [1] "Hello"
## [1] "Hello"
## [1] "Hello"
## [1] "Hello"
sink('output.txt')
for(i in 1:5) {print("Hello")}
## [1] "Hello"
## [1] "Hello"
## [1] "Hello"
## [1] "Hello"
## [1] "Hello"
library(openxlsx)
data<-read.table(header=TRUE, text='
No. gender age
1 Male 17
2 Female NA
3 Male 29
4 Male 14
')
write.xlsx(data,"dataku.xlsx")
library(foreign)
data<-read.table(header=TRUE, text='
No. gender age
1 Male 17
2 Female NA
3 Male 29
4 Male 14
')
#Write a SPSS file
write.foreign(data,"mydata.txt","mydata.sps", package = "SPSS")
#Write a SAS file
write.foreign(data,"mydata.txt","mydata.sas",package = "SAS")
## Some variable names were abbreviated or otherwise altered.
#write stata binary format
write.dta(data,"mydata.dta")
titik<-c(10,4,2,9,3,8)
titik
## [1] 10 4 2 9 3 8
plot(titik)
plot(titik,type = "l")
plot(titik,type = "s")
plot(titik,type = "b")
plot(titik,type = "p")
plot(titik,type = "S")
plot(titik,pch=8, type="b") #type pch halaman 121
#Untuk melihat data yang tersedia di Rstudio
data()