In the last exercise, We have seen how powerful functional programming principles can be and how it can drammatically increase the readablity of the code and how easily you can work with them .In this set of exercises we will look at functional programming principles with purrr.Purrr comes with a number of interesting features and is really useful in writing clean and concise code . Please check the documentation and load the purrr library in your R session before starting these exercise set .
Answers to the exercises are available here
If you obtained a different (correct) answer than those listed on the solutions page, please feel free to post your answer as a comment on that page.
Exercise 1
From the airquality dataset( available in base R ) , Find the mean ,median ,standard deviation of all columns using map functions .
Exercise 2
In the same dataset,find 95th percentile of each column excluding the NA values
Exercise 3
Load the iris dataset ,with help of pipe and map functions find out the mean of the relavant columns.Keep in mind mean is meant for numeric columns ,so you may need multiple map like functions.I expect the output as a dataframe .
Exercise 4
I have a vector x
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