Data Visualization with ggplot2 MCQ question and answer with solution | R Programming MCQs

A. z <- rinom(n,size,prob)

B. z <- rbinom(n,size,prob)

C. z <- binom(n,size,prob)

D. z >- nom(n,size,prob)

A. x1 <- c(snorm(n))

B. x1 <- c(pnorm(n))

C. x1 <- c(rnorm(n))

D. x1 >- c(norm(n))

A. read.table(filename,header=TRUE,sep=',')

B. read.csv(filename,header=TRUE,sep=',')

C. read.tab(filename,header=TRUE,sep=',')

D. read.tab(filename,header=False,sep=',')

A. read.table(filename,header=TRUE)

B. read.CSV(filename,header=TRUE)

C. read.table(filename,header=FALSE)

D. read.tableall(filename,header=TRUE)

A. sub(dataset,logical)

B. subset(dataset,logical)

C. subsetcon(dataset,logical)

D. subcon(dataset,logical)

A. subsetcon(dataset,logical)

B. data.df[data.df=logical]

C. sub(dataset,logical)

D. subcon(dataset,logical)

A. x[rev(order(x$B)),]

B. x[ordersort(x$B),]

C. x[order(x$B),]

D. x[rev(x$B),]

A. browse.workspace

B. browse.works

C. browser.workspace

D. a statistical transformation

A. rm(x)

B. rm(list=ls())

C. ls()

D. attach(mat)

A. rm(x)

B. rm(list=ls())

C. ls()

D. attach(mat)