lsteinmann / datplot Goto Github PK

Though already greatly improved by previous updates, the function create.sub.objects() is still very slow for small stepsizes and large data sets. I need a way to streamline this / make it more efficient...

In order to keep the data comparable, the interval (expressed as the stepsize-variable in the R-package) is chosen globally for all objects. There is currently no mode for resolving conflicts arising by misaligned dates, as e.g. a sequence from 3 to 26 would only yield one ‘step’ at 3, since 3+25 exceeds the range of the objects dating, as I am using seq().
Can I fix this somehow?

Options/Ideas:

• assigning at least three steps, one for min, one for max, and one for mean; then filling the gaps with the stepsize interval if possible?

add nrow()/length() if it's not a single value / update documentation

get.histogramscale() does not work well for stepsizes of 1 etc., need to correct