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![]() Particular aggregating a monthly series to quarters starting inįebruary does not give a conventional quarterly series.įUN is passed to match.fun, and hence it can be aįunction or a symbol or character string naming a function. The original series covers a whole number of quarters or years: in used for vector or raster data aggregation and mapping, we discuss why we choose R. Note that this make most sense for a quarterly or yearly result when Using the R language as a GIS applied on forest fire data in South of. Series with frequency nfrequency holding the aggregated values. Then, the variables in x are split intoĪppropriate blocks of length frequency(x) / nfrequency, andįUN is applied to each such block, with further (named)Īrguments in … passed to it. If x is not a time series, it isĬoerced to one. (Note that versions of R prior to 2.11.0 requiredĪggregate.formula is a standard formula interface toĪggregate.ts is the time series method, and requires FUN ![]() ![]() Missing values in any of the by variables will be omitted from Lists of summary results according to subsets are obtained. True, summaries are simplified to vectors or matrices if they have aĬommon length of one or greater than one, respectively otherwise, The ones arising from x the corresponding summaries for the The ones arising from by contain the uniqueĬombinations of grouping values used for determining the subsets, and Reformatted into a data frame containing the variables in byĪnd x. With further arguments in … passed to it. Split into subsets of cases (rows) of identical combinations of theĬomponents of by, and FUN is applied to each such subset Then, each of the variables (columns) in x is Not a data frame, it is coerced to one, which must have a non-zero To a data frame and calls the data frame method.Ī is the data frame method. R RGBband1HARVdf <- as.ame(RGBband1HARV, xy TRUE) R ggplot() + geomraster(data RGBband1HARVdf, aes(x x, y y, alpha HARVRGBOrtho1)) + coordquickmap() Challenge View the attributes of this band. Method if x is a time series, and otherwise coerces x We need to convert this data to a data frame in order to plot it with ggplot. The default method, fault, uses the time series i forĪggregate is a generic function with methods for data frames Unnamed grouping variables being named Group. 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