best practice for writing R codes -

best practice for writing R codes -

hi had quick question regarding writing faster r scripts using multiple functions: of next run faster assuming same content in each example? functions within functions i.e

function(args) { function_using_previous_function_output(args) { manipulation of arguments} }

functions pass stuff outside of each other:

function(args) {return(output} } function_using_previous_function_output(output) { manipulation of arguments }

is there best practice style or optimisation out of these ??

many thanks!

short answer; you're looking downwards wrong avenue in terms of optimising code.

long answer;

the contents of import aspect of script's performance. should fudging syntax if code parallelised, vectorised, rcpp-ised , byte-compiled (require(compiler);enablejit(3)), , still need more speed.

in unlikely case need alter shape of code gain speed, these articles friend

http://www.r-bloggers.com/speeding-up-r-computations/ http://radfordneal.wordpress.com/2010/08/15/two-surpising-things-about-r/

to reply original question; should determine efficiency using system.time() function; uncertainty there statistically important difference either way

r