#Vector td guide reddit code#
The main problems with this code are that While for is definitely the mostįlexible of the looping options, we suggest you avoid it wherever you can, for Like basic, python, perl, C, C++ or matlab. That’s because, like me, they are already familiar with these other languages, When you mention looping, many people immediately reach for for. Ok, you got me, we are starting with for loops. Mean something more abstract, like combining a bunch of plots in a report.Įither way, the challenge for you is to identify the pieces that remain the sameīetween different runs of your function, then structure your analysis around Sometimes the combine phase means making a new data frame, other times it might Your job is then to analyseĮach bit, and put them together into a larger data set. output files from fromĪ leaf scanner or temperature machine. Some data arrives already in its pieces - e.g. Then you then Split it up into many smallerĭatasets, Apply a function to each piece, and finally Combine Looping are instances of the split-apply-combine strategy (this termĪnd idea comes from the prolific Hadley Wickham,īunch of data. The split–apply–combine patternįirst, it is good to recognise that most operations that involve In R there is a whole family of looping functions, each with Over and over, but with only small fragments differing between A loop is a coding structure that reruns the same bit of code The nice way of repeating elements of code is to use a loop of some Later, and potentially introduce some nasty bugs. Repeating yourself will cost you time, both now and Yes, by using a function, you have reducedĪ substantial amount of repetition. res10 <- f (input10 )īut this isn’t very nice.
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