1+1
## [1] 2
3+2
## [1] 5
3-1
## [1] 2
3*2
## [1] 6
3/2
## [1] 1.5
3^2
## [1] 9
x<-3
x=3
3>4
## [1] FALSE
3>=4
## [1] FALSE
3==4
## [1] FALSE
!(3==4)
## [1] TRUE
TRUE&FALSE
## [1] FALSE
TRUE|FALSE
## [1] TRUE
a<-100
a=100
0/0
## [1] NaN
a<-c(1,2,3)
a
## [1] 1 2 3
mean(a)#
## [1] 2
max(a)#
## [1] 3
min(a)#
## [1] 1
summary(a)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##     1.0     1.5     2.0     2.0     2.5     3.0
mode(a)
## [1] "numeric"
is.numeric(a)
## [1] TRUE
is.logical(a)
## [1] FALSE
is.character(a)
## [1] FALSE
length(a)
## [1] 3
a<-10
a
## [1] 10
class(a)
## [1] "numeric"
x<-c(1,10)
y<-c("apple","melon")
1:5
## [1] 1 2 3 4 5
gender<-c("male","female","male")
bloodtype<-c("AB","O","B")
height<-c(170,175,165)
weight<-c(70,65,55)
df<-data.frame(gender,bloodtype,height,weight)
df
##   gender bloodtype height weight
## 1   male        AB    170     70
## 2 female         O    175     65
## 3   male         B    165     55
car<-c("kia","bmw","toyota")
df2<-data.frame(df,car)
df2
##   gender bloodtype height weight    car
## 1   male        AB    170     70    kia
## 2 female         O    175     65    bmw
## 3   male         B    165     55 toyota

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