Use `invoke_map()` using multiple functions and multiple inputs?












0















So I am following a guide here:



https://www.r-exercises.com/2017/06/01/a-primer-in-functional-programming-in-r-part-2/



Where the first exercise says to:




Exercise 1



From the airquality dataset (available in base R), Find the mean ,median ,standard deviation of all columns using map functions.




I found a suitable answer to the exercise but am trying to see if there is a more concise way to answer this (ie without having to map inside a map)



Here is my answer:



map(airquality, ~invoke_map(list(mean, median, sd), x = .x, na.rm = T)) %>% 

  unlist()


But is there a way to do something like:



invoke_map(list(mean, median, sd), x = airquality, na.rm = T))


?






r purrr







share|improve this question























  • Would map(airquality, ~list(mean(.), median(.), sd(.)), na.rm = T) work?

    – Julius Vainora
    Jan 19 at 23:59


















0















So I am following a guide here:



https://www.r-exercises.com/2017/06/01/a-primer-in-functional-programming-in-r-part-2/



Where the first exercise says to:




Exercise 1



From the airquality dataset (available in base R), Find the mean ,median ,standard deviation of all columns using map functions.




I found a suitable answer to the exercise but am trying to see if there is a more concise way to answer this (ie without having to map inside a map)



Here is my answer:



map(airquality, ~invoke_map(list(mean, median, sd), x = .x, na.rm = T)) %>% 

  unlist()


But is there a way to do something like:



invoke_map(list(mean, median, sd), x = airquality, na.rm = T))


?






r purrr







share|improve this question























  • Would map(airquality, ~list(mean(.), median(.), sd(.)), na.rm = T) work?

    – Julius Vainora
    Jan 19 at 23:59
















0












0








0








So I am following a guide here:



https://www.r-exercises.com/2017/06/01/a-primer-in-functional-programming-in-r-part-2/



Where the first exercise says to:




Exercise 1



From the airquality dataset (available in base R), Find the mean ,median ,standard deviation of all columns using map functions.




I found a suitable answer to the exercise but am trying to see if there is a more concise way to answer this (ie without having to map inside a map)



Here is my answer:



map(airquality, ~invoke_map(list(mean, median, sd), x = .x, na.rm = T)) %>% 

  unlist()


But is there a way to do something like:



invoke_map(list(mean, median, sd), x = airquality, na.rm = T))


?






r purrr







share|improve this question














So I am following a guide here:



https://www.r-exercises.com/2017/06/01/a-primer-in-functional-programming-in-r-part-2/



Where the first exercise says to:




Exercise 1



From the airquality dataset (available in base R), Find the mean ,median ,standard deviation of all columns using map functions.




I found a suitable answer to the exercise but am trying to see if there is a more concise way to answer this (ie without having to map inside a map)



Here is my answer:



map(airquality, ~invoke_map(list(mean, median, sd), x = .x, na.rm = T)) %>% 

  unlist()


But is there a way to do something like:



invoke_map(list(mean, median, sd), x = airquality, na.rm = T))


?






r purrr




r purrr






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Jan 19 at 23:50









dylanjmdylanjm

393112




393112













  • Would map(airquality, ~list(mean(.), median(.), sd(.)), na.rm = T) work?

    – Julius Vainora
    Jan 19 at 23:59





















  • Would map(airquality, ~list(mean(.), median(.), sd(.)), na.rm = T) work?

    – Julius Vainora
    Jan 19 at 23:59



















Would map(airquality, ~list(mean(.), median(.), sd(.)), na.rm = T) work?

– Julius Vainora
Jan 19 at 23:59







Would map(airquality, ~list(mean(.), median(.), sd(.)), na.rm = T) work?

– Julius Vainora
Jan 19 at 23:59














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