Writing a R lint program -

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when program in python, find using pylint useful. however, when program in r, there nothing comparable.

as small side project, thought fun try , write small lint program. nothing fancy, along lines of:

  • making sure function names camel case
  • average function length
  • detecting unused variables
  • spacing. example, function(x=1, y=2) instead of function(x=1,y=2)

however, i'm unsure of how started (i have started through pylint soure code).

how should started? there standard programming techniques type of project? resources should consider?

i write entire project in r.

take @ package codetools comes r. details found on cran page package. code in package run when r cmd check example can catch unused variables etc. might started on aspect of rlint.

to answer of other aspects... i'd start of writing simple functions 1 task, such convert functions names camel case. build body of small functions can amalgamate them working lint wrapper function, whilst allowing users/developers flexibility call specific functions if don't want full lint behaviour.


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