Does table(DF$Time) do what you want?
Seems kinda odd to me that you want to distinguish between 18:31 and 18:32 but
you don't care which days those occur on. If your phenomenon is related to
local time-of-day then perhaps you might want to correlate with sun elevation
relative to the horizon.
Dear Bruce,
I think this should be straightforward with tidyverse. If not please
provide a small reproducible data set with dput().
library(tidyverse)
count(Active, Time)
count(Active, Date, Time)
Best regards,
ir. Thierry Onkelinx
Statisticus / Statistician
Vlaamse Overheid / Government of Fl
Hi all,
I need to summarize temporal activity. However date\times in R seem to
be not easily handled.
Seems I may need to convert date\time values to a recognizable format?
My "raw data" is tab (text) includes a location ID, date and time(24 hr
format).
Format is like this:
Location Date
Have you successfully imported the dataset into R?
What have you tried?
If you have not imported the dataset into R, what format are your CMIP5 data in?
They are distributed various ways, and it's impossible to answer your
question without knowing what your data are.
On Fri, Dec 1, 2017 at 12:3
Respected Sir
I hope you will be fine and enjoy good health.
I am PhD student in Northeast Normal University, China. Kindly guide me,
How can I extract a time series of variable for a specific location
(specific longitude and latitude) from a CMIP5 experiment by using R? And
I brief my query whic
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