On Fri, 14 Sep 2018, Justin H. wrote:
I'm not sure how it handles your date format. It's probably grouping things weirdly. If you can split out that column into two columns, one for year and one for month. I'd have to tinker with it later as I can't think of code off the top of my head. It should play nicer then.
Justin,
The rainfall data.frame structure:
'data.frame': 113569 obs. of 6 variables:
$ name : Factor w/ 58 levels "Blazed Alder",..: 20 20 20 20 20 20 20 20 ...
$ easting : num 2370575 2370575 2370575 2370575 2370575 ...
$ northing: num 199338 199338 199338 199338 199338 ...
$ elev : num 228 228 228 228 228 228 228 228 228 228 ...
$ sampdate: Date, format: "2005-01-01" "2005-01-02" ...
$ prcp : num 0.59 0.08 0.1 0 0 0.02 0.05 0.1 0 0.02 ...
After splitting by name (only the first one shown):
str(rainfall_by_site)
List of 58
$ Blazed Alder :'data.frame': 4900 obs. of 6 variables:
..$ name : Factor w/ 58 levels "Blazed Alder",..: 1 1 1 1 1 1 1 1 1 1 ...
..$ easting : num [1:4900] 2393589 2393589 2393589 2393589 2393589 ...
..$ northing: num [1:4900] 196841 196841 196841 196841 196841 ...
..$ elev : num [1:4900] 1112 1112 1112 1112 1112 ...
..$ sampdate: Date[1:4900], format: "2005-01-01" "2005-01-02" ...
..$ prcp : num [1:4900] 0.2 0.2 0.4 0 0 0 0.1 0.1 0.1 0.2 ...
Adding a year column to the end:
$ year : num 0 0 0 0 0 0 0 0 0 0 ...
I've not separated the sampdate structure into years and months; I can and
that might make the difference. Will try to find time this weekend to do so.
Otherwise, it'll be next week.
Regards,
Rich