@solanoalex OK!
@tyshawnrene Have you pushed your updates? I see the orginal read_observations() in functions/observations.R but not one modified for your own use. Or should I look somewhere else for it?
@vameringer OK!
@taragorman OK!
@DanielSweeney25 OK! I keep forgetting that you made a read_obs() as a substitute for read_observations() - which is fine unless it annoys you down the road.
@zane-chutkow OK! Lots of customized filtering appeals to one's inner sloth (no offense to sloths who are supremely efficient)
@tenzytaec26 OK! Interesting surgical use of filtering. I suppose you might consider using dplyr's drop_na() when you want to drop any row where NA appears in any variable.
@J-Kapl OK! Check out dplyr's between() when filtering between ranges (like dates). It works similar to how you have used compound tests in one filter()
@ArianaRaschidFarrokhi OK!
@solanoalex OK!
@tyshawnrene Have you pushed your updates? I see the orginal
read_observations()infunctions/observations.Rbut not one modified for your own use. Or should I look somewhere else for it?@vameringer OK!
@taragorman OK!
@DanielSweeney25 OK! I keep forgetting that you made a
read_obs()as a substitute forread_observations()- which is fine unless it annoys you down the road.@zane-chutkow OK! Lots of customized filtering appeals to one's inner sloth (no offense to sloths who are supremely efficient)
@tenzytaec26 OK! Interesting surgical use of filtering. I suppose you might consider using dplyr's
drop_na()when you want to drop any row whereNAappears in any variable.@J-Kapl OK! Check out dplyr's
between()when filtering between ranges (like dates). It works similar to how you have used compound tests in onefilter()@ArianaRaschidFarrokhi OK!