Iterative temporal reduction method not translating well to rgee

rgee version: 1.1.2
R version: 1.4.1717
Operating System: Windows 10

Hi all,

I want to reduce a daily dataset to monthly averages in rgee. The approach for doing this in GEE and the GEE Python API has been to set a list of months (1...n), then define a function using filter(ee.Filter.calendarRange() to map over the list to retrieve monthly images of the reduced variable. Here is an example of that approach (https://gis.stackexchange.com/questions/258344/reduce-image-collection-to-get-annual-monthly-sum-precipitation):

var modis = ee.ImageCollection('MODIS/MOD13A1');

var months = ee.List.sequence(1, 12);

// Group by month, and then reduce within groups by mean(); // the result is an ImageCollection with one image for each // month. var byMonth = ee.ImageCollection.fromImages( months.map(function (m) { return modis.filter(ee.Filter.calendarRange(m, m, 'month')) .select(1).mean() .set('month', m); })); print(byMonth);

Map.addLayer(ee.Image(byMonth.first()));

I adapted that code for rgee as the following:

modisx = ee$ImageCollection('MODIS/MOD13A1')

months = ee$List$sequence(1, 12)

toMonthly <- function(m) { img = modisx$filter(ee$Filter$calendarRange(m, m, 'month'))$ select(1)$mean()$ set('month', m) return (img) }

byMonth = modisx$fromImages(months$map(toMonthly))

However, I received this error after running the 'byMonth' line:

Error in py_call_impl(callable, dots$args, dots$keywords) : RuntimeError: Evaluation error: argument "m" is missing, with no default.

Why does this snippet work in GEE but not in rgee? Is there another way to reduce daily values over a series of months that is more appropriate for rgee?

r-spatial / rgee

Iterative temporal reduction method not translating well to rgee #211