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

A. new <- old[-n,]

B. new <- old[,-n]

C. new <- old[,-c(i,j)]

D. new <- subset(old,logical)

A. new <- old[-n,]

B. new <- old[,-n]

C. new <- old[,-c(i,j)]

D. new <- subset(old,logical)

A. complete <- subset(data.df,complete.cases(data.df)

B. complete <- sub(data.df,complete.cases(data.df)

C. complete <- subset(data.df,completeall.cases(data.df)

D. new <- old[n1:n2,n3:n4]

A. dnorm(x, mean=0, sd=1, log = FALSE)

B. pnorm(q, mean=0, sd=1, lower.tail = TRUE, log.p = FALSE)

C. qnorm(p, mean=0, sd=1, lower.tail = TRUE, log.p = FALSE)

D. rnorm(n, mean=0, sd=1)

A. cumsum(x,na=rm=TRUE)

B. cumprod(x)

C. cummax(x)

D. cummin(x)

A. dunif(x, min=0, max=1, log = FALSE)

B. punif(q, min=0, max=1, lower.tail = TRUE, log.p = FALSE)

C. qunif(p, min=0, max=1, lower.tail = TRUE, log.p = FALSE)

D. runif(n, min=0, max=1)

A. as.order(x)

B. as.integer(x)

C. as.numeric(x)

D. as.character(x)

A. y%in%x

B. all(x)

C. any(x)

D. x%in%y

A. rm(x)

B. max(x, na.rm=TRUE)

C. all(x)

D. x%in%y

A. sd(x, na.rm=TRUE)

B. mad(x, na.rm=TRUE)

C. fivenum(x, na.rm=TRUE)

D. var(x, na.rm=TRUE)