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61 lines
1.9 KiB
R
61 lines
1.9 KiB
R
#' @export
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plot.osem_measurements = function (x, ..., mar = c(2,4,1,1)) {
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oldpar = par()
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par(mar = mar)
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plot(value~createdAt, x, col = factor(x$sensorId), xlab = NA, ylab = x$unit[1], ...)
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par(mar = oldpar$mar)
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invisible(x)
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}
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#' @export
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print.osem_measurements = function (x, ...) {
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print.data.frame(x, ...)
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invisible(x)
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}
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#' Converts a foreign object to an osem_measurements data.frame.
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#' @param x A data.frame to attach the class to
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#' @export
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osem_as_measurements = function(x) {
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ret = as.data.frame(x)
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class(ret) = c('osem_measurements', class(x))
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ret
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}
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#' Return rows with matching conditions, while maintaining class & attributes
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#' @param .data A osem_measurements data.frame to filter
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#' @param .dots see corresponding function in package \code{\link{dplyr}}
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#' @param ... other arguments
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#' @seealso \code{\link[dplyr]{filter}}
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#' @export
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filter.osem_measurements = dplyr_class_wrapper(osem_as_measurements)
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#' Add new variables to the data, while maintaining class & attributes
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#' @param .data A osem_measurements data.frame to mutate
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#' @param .dots see corresponding function in package \code{\link{dplyr}}
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#' @param ... other arguments
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#' @seealso \code{\link[dplyr]{mutate}}
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#' @export
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mutate.osem_measurements = dplyr_class_wrapper(osem_as_measurements)
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#' maintains class / attributes after subsetting
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#' @noRd
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#' @export
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`[.osem_measurements` = function(x, i, ...) {
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s = NextMethod('[')
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mostattributes(s) = attributes(x)
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s
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}
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# ==============================================================================
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#
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#' Convert a \code{osem_measurements} dataframe to an \code{\link[sf]{st_sf}} object.
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#'
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#' @param x The object to convert
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#' @param ... maybe more objects to convert
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#' @return The object with an st_geometry column attached.
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#' @export
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st_as_sf.osem_measurements = function (x, ...) {
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NextMethod(x, ..., coords = c('lon', 'lat'), crs = 4326)
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}
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