R Language Interview Questions
The global variable b has a value of 4. The function f has an argument 2 and the function’s body has the local variable b with the value 3. So function f(2) will return 3^3 + g(2) and g(2) will give the value 2*4 = 8 where 4 is the value of b.
Thus, the answer is 35
Thus, the answer is 35
max_salary_person<- subset(data, salary == max(salary))
print(max_salary_person)
print(max_salary_person)
temp 300000 &as.Date(DOJ) >as.Date(“2016-01-01”))
write.csv(temp,”output.csv”,row.names = FALSE)
new_temp<- read.csv(“output.csv”)
print(new_temp)
write.csv(temp,”output.csv”,row.names = FALSE)
new_temp<- read.csv(“output.csv”)
print(new_temp)
Example.
a<- c(1,2,3,4)
b<- c(“Amit”,”Sumit”,”Gaurav”)
c<- c(“TCS”,”CTS”,”Musigma”)
df<- cbind(a,b,c)
print(df)
a<- c(1,2,3,4)
b<- c(“Amit”,”Sumit”,”Gaurav”)
c<- c(“TCS”,”CTS”,”Musigma”)
df<- cbind(a,b,c)
print(df)
We can merge two data frames by using the merge() function. The data frames must have same column names on which the merging happens.
Example.
df1<- data.frame(id<- c(1:6), name <- c(rep(“Amit”,3), rep(“Sumit”,3))
df2<- data.frame(id<-c(7,8,9), name<- c(rep(“Nitin”,2), rep(“Paplu”,1))
*outer join
merge(x=df1, y=df2, by = “id”, all = TRUE)
This all = TRUE will give you the outer join, so the new data set will have all the value from both the data frame merged on the id
Example.
df1<- data.frame(id<- c(1:6), name <- c(rep(“Amit”,3), rep(“Sumit”,3))
df2<- data.frame(id<-c(7,8,9), name<- c(rep(“Nitin”,2), rep(“Paplu”,1))
*outer join
merge(x=df1, y=df2, by = “id”, all = TRUE)
This all = TRUE will give you the outer join, so the new data set will have all the value from both the data frame merged on the id
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