Q.1
Which of the following code will drop the nth column?
  • a) new <- old[-n,]
  • b) new <- old[,-n]
  • c) new <- old[,-c(i,j)]
  • d) new <- subset(old,logical)
Q.2
Which of the following code drop the ith and jth column?
  • a) new <- old[-n,]
  • b) new <- old[,-n]
  • c) new <- old[,-c(i,j)]
  • d) new <- subset(old,logical)
Q.3
Which of the following statement find cases with no missing values?
  • 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]
Q.4
Which of the following statement is normal distribution?
  • 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)
Q.5
which of the following statement gives cumulative sum?
  • a) cumsum(x,na=rm=TRUE)
  • b) cumprod(x)
  • c) cummax(x)
  • d) cummin(x)
Q.6
Which of the following is uniform distribution?
  • 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)
Q.7
Which of the following truncates real x to integers?
  • a) as.order(x)
  • b) as.integer(x)
  • c) as.numeric(x)
  • d) as.character(x)
Q.8
Which of the following tests each element of x for membership in y?
  • a) y%in%x
  • b) all(x)
  • c) any(x)
  • d) x%in%y
Q.9
Which of the following finds the maximum value in the vector x, exclude missing values?
  • a) rm(x)
  • b) max(x, na.rm=TRUE)
  • c) all(x)
  • d) x%in%y
Q.10
Which of the following produces the variance covariance matrix?
  • a) sd(x, na.rm=TRUE)
  • b) mad(x, na.rm=TRUE)
  • c) fivenum(x, na.rm=TRUE)
  • d) var(x, na.rm=TRUE)
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