Question
a.
dput()
b.
write()
c.
dump()
d.
dget()
Posted under R Programming
Engage with the Community - Add Your Comment
Confused About the Answer? Ask for Details Here.
Know the Explanation? Add it Here.
Q. Multiple objects can be de parsed at once using the ______ function.
Similar Questions
Discover Related MCQs
Q. Multiple objects can be de parsed at once and read back using function _____
View solution
Q. We can dump() R objects to a file by passing _____
View solution
Q. If we want to save individual R objects to a file, we use the _______ function.
View solution
Q. If you have a lot of objects that you want to save to a file, we use ________ function.
View solution
Q. .rda extension used when saving data with function __________
View solution
Q. .RData extension used when we save data using the functions ___________
View solution
Q. When you call serialize() on an R object, the output will be ____ coded in hexadecimal format.
View solution
Q. The benefit of the _____ function is that it is the only way to perfectly repressed an R object in an exportable format, without losing precision or any metadata.
View solution
Q. load() is used for _______
View solution
Q. readlines is used for ____________
View solution
Q. Individual R objects can be saved to a file using the _____ function.
View solution
Q. Point out the correct statement?
View solution
Q. Which of the following statement will load the objects to the file named “mydata.RData”?
View solution
Q. Point out the wrong statement?
View solution
Q. ________ opens a connection to a file compressed with gzip.
View solution
Q. Connections to text files can be created with the ________ function.
View solution
Q. Which of the following R code creates a connection to ‘foo.txt’?
View solution
Q. Which of the following code opens a connection to the file foo.txt, reads from it, and closes the connection when its done?
View solution
Q. Which of the following opens connection to gz-compressed text file?
View solution
Q. Point out the correct statement?
View solution
Suggested Topics
Are you eager to expand your knowledge beyond R Programming? 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!