Question
a.
keep track of things
b.
Save output
c.
Save data in proprietary formats
d.
None of the mentioned
Posted under Data Science
Engage with the Community - Add Your Comment
Confused About the Answer? Ask for Details Here.
Know the Explanation? Add it Here.
Q. Which of the following way is required to make work reproducible?
Similar Questions
Discover Related MCQs
Q. Which of the following is required for literate programming?
View solution
Q. Point out the correct statement.
View solution
Q. Original idea comes of Literate Statistical Practice from _______________
View solution
Q. Dependencies are checked explicitly in caching caveats.
View solution
Q. Which of the following should be set on chunk by chunk basis to store results of computation?
View solution
Q. Which of the following tool can be used for integrating text and code in one document?
View solution
Q. Some chunks have to be re-computed every time you re-knit the file.
View solution
Q. Which of the following is useful way to put text, code, data, output all in one document?
View solution
Q. What is one way in which the knitr system differs from Sweave?
View solution
Q. Which of the following is required to implement a literate programming system?
View solution
Q. What does it mean to weave a literate statistical program?
View solution
Q. Which of the following is a goal of literate statistical programming?
View solution
Q. What is the role of processing code in the research pipeline?
View solution
Q. Code chunks begin with “`{r} and end with “`.
View solution
Q. The document produced by knitr document has which of the following extension?
View solution
Q. Which of the following statement is used for importing knitr library?
View solution
Q. knitr is good for complex time-consuming computations.
View solution
Q. Which of the following is the correct order of conversion?
View solution
Q. Which of the following global option has value “hide”?
View solution
Q. Which of the following global options are available for figures in knitr?
View solution
Suggested Topics
Are you eager to expand your knowledge beyond Data Science? We've curated a selection of related categories that you might find intriguing.
Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!