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Data Structures In R Programming MCQs

Practice Data Structures In R Programming MCQs for competitive exams.

Data Structures In R Programming MCQs

Practice questions from this topic.

What will be the output of the following R code? > x x$a

  1. A. 1 2 3 4 5
  2. B. 2 3 5
  3. C. 1 3 3 5
  4. D. 1 2 3
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. . . . . . . . generate summary statistics of different variables in the data frame, possibly within strata.

  1. A. rename
  2. B. summarize
  3. C. set
  4. D. subset
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Which of the following argument denotes if the file has a header line?

  1. A. header
  2. B. sep
  3. C. file
  4. D. footer
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The dplyr package can be installed from CRAN using . . . . . . . .

  1. A. installall.packages("dplyr")
  2. B. install.packages("dplyr")
  3. C. installed.packages("dplyr")
  4. D. installed.packages("dpl")
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We can dump() R objects to a file by passing . . . . . . . .

  1. A. character vector of their names
  2. B. object name
  3. C. arguments
  4. D. file name
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What will be the output of the following R code? > datestring x x

  1. A. "2012-01-10 10:40:00 EST" "2011-12-09 09:10:00 EST"
  2. B. "2012-01-10 10:40:00 IST" "2011-12-09 09:10:00 IST"
  3. C. "2012-01-10 10:40:00 GMT" "2011-12-09 09:10:00 GMT"
  4. D. Error
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What will be the output of the following R code? > x y y-x

  1. A. Time difference of 1 hour
  2. B. Time difference of 1 min
  3. C. Time difference of 1 sec
  4. D. Time difference of 5 sec
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Which of the following function gives the day of the week?

  1. A. weekdays
  2. B. months
  3. C. quarters
  4. D. semesters
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Which of the following statement would read file "foo.txt"?

  1. A. data <- read.table("foo.txt")
  2. B. read.data <- read.table("foo.txt")
  3. C. data <- read.data("foo.txt")
  4. D. data <- data("foo.txt")
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. . . . . . . . extract a subset of rows from a dataframe based on logical conditions.

  1. A. rename
  2. B. filter
  3. C. set
  4. D. subset
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What will be the output of the following R code? > x name x$name

  1. A. 1
  2. B. 2
  3. C. 3
  4. D. NULL
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dplyr can be integrated with the . . . . . . . . package for large fast tables.

  1. A. data.table
  2. B. read.table
  3. C. data.data
  4. D. table.read
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