this problem will use functions from the tidyverse package to manipulate datasets. $1)$ load the tidyverse package into R b$)$ use the pipe command to create intermediary objects tod o the following; i$)$ use mutate$()$ function to create a new variable that computes the difference between values in the var$\mathrm{.}1$ and x variables; ii$)$ use the filter$()$ function to only include observations that got values equal to B or C for variable y $($remove any observations that got value A for variable y$)$; iii$)$ use the group$\_$by $()$ and summarize$()$ functions to get the mean difference from the first step for each of the remining values in y;