R Programming Questions and Answers – R Profiler – 2

This set of R Programming Language Multiple Choice Questions & Answers (MCQs) focuses on “R Profiler – 2”.

1. The profiler can be turned off by passing _________ to Rprof().
a) 0
b) 1
c) 2
d) NULL
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2. Point out the correct statement?
a) Rprof() is used to turn off the profiler
b) At each line of the output, the profiler writes out the function call stack
c) The summaryprof() function tabulates the R profiler output
d) The Rprofiler() function starts the profiler in R
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3. How many methods exist for normalizing the data?
a) one
b) two
c) three
d) profiler
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4. _______ divides the time spend in each function by the total run time
a) “by.sum”
b) “by.total”
c) “by.self”
d) “by.del”
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5. Point out the correct statement?
a) “by.total” first subtracts out time spent in functions above the current function in the call stack
b) The summaryRprof() function calculates how much time is spend in which function
c) By default, the profiler samples the function call stack every 0.02 seconds
d) The Rprofiler() function starts the profiler in R
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6. Which of the following function actually fits the linear model?
a) lm.time()
b) lm.date()
c) lm.fit()
d) lm.interval()
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7. The final bit of output that summaryRprof() provides is the ______ interval and the total runtime.
a) response
b) sampling
c) processing
d) retrieve
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8. Which of the following statement gives sampling interval?
a) $sampling.interval
b) $sampling.time
c) $sampling.date
d) $sampling.datetime
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9. Which of the following code is not profiled?
a) C
b) C++
c) Java
d) PHP
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