Question
> x <- Sys.time()
> class(x)a.
“POSIXct” “POSIXt”
b.
“POSIXXt” “POSIXt”
c.
“POSIXct” “POSIct”
d.
“POSIXt” “POSIXt”
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. What will be the output of the following R code?
Similar Questions
Discover Related MCQs
Q. Which of the following function gives the day of the week?
View solution
Q. Point out the correct statement?
View solution
Q. Point out the wrong statement?
View solution
Q. Which of the following return a subset of the columns of a data frame?
View solution
Q. Point out the correct statement?
View solution
Q. _________ extract a subset of rows from a dataframe based on logical conditions.
View solution
Q. _________ generate summary statistics of different variables in the data frame, possibly within strata.
View solution
Q. Point out the wrong statement?
View solution
Q. ________ add new variables/columns or transform existing variables.
View solution
Q. The _______ operator is used to connect multiple verb actions together into a pipeline.
View solution
Q. The dplyr package can be installed from GitHub using the _______ package.
View solution
Q. The dplyr package can be installed from CRAN using __________
View solution
Q. Which of the following object is masked from ‘package: stats’?
View solution
Q. The _________ function can be used to select columns of a data frame that you want to focus on.
View solution
Q. Point out the correct statement?
View solution
Q. ________ function is similar to the existing subset() function in R but is quite a bit faster.
View solution
Q. Columns can be arranged in descending order too by using the special ____ operator.
View solution
Q. Point out the wrong statement?
View solution
Q. The _________ function is used to generate summary statistics from the data frame within strata defined by a variable.
View solution
Q. The ______ operator allows you to string operations in a left-to-right fashion.
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!
