Data Manipulation with dplyr MCQ question and answer with solution | R Programming MCQs

A. extract()

B. gather()

C. sep()

D. separate()

A. spread()

B. gather()

C. separate()

D. extract()

A. response

B. sampling

C. processing

D. retrieve

A. geom_range

B. geom_pointrange

C. printplot

D. geom_contour

A. $sampling.interval

B. $sampling.time

C. $sampling.date

D. $sampling.datetime

A. mean_se is used to calculate mean and standard errors on either side

B. hmisc wraps up a selection of summary functions from Hmisc to make it easy to use

C. plot is used to create a scatterplot matrix (experimental)

D. translate_qplot_base is used for translating between qplot and base graphics

A. theme_minimal is minimalistic theme with no background annotations

B. theme_color is classic-looking theme, with x and y axis lines and no gridlines

C. theme_classic is a classic-looking theme

D. translate_qplot_base is used for translating between qplot and base graphics

A. translate_qplot_base

B. translate_qplot_gpl

C. translate_qplot_defaults

D. translate_qplot_ggplot

A. spread()

B. gather()

C. separate()

D. unite()

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