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76 lines
2.2 KiB
R
76 lines
2.2 KiB
R
#' @export
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plot.sensebox = function (x, ...) {
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if (
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!requireNamespace("sf", quietly = TRUE) ||
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!requireNamespace("maps", quietly = TRUE) ||
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!requireNamespace("maptools", quietly = TRUE) ||
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!requireNamespace("rgeos", quietly = TRUE)
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) {
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stop('this functions requires the packages sf, maps, maptools, rgeos')
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}
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geom = x %>%
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osem_as_sf() %>%
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sf::st_geometry()
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bbox = sf::st_bbox(geom)
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library(maps)
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world = maps::map('world', plot = FALSE, fill = TRUE) %>%
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sf::st_as_sf() %>%
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sf::st_geometry()
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oldpar = par()
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par(mar = c(2,2,1,1))
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plot(world, col = 'gray', xlim = bbox[c(1,3)], ylim = bbox[c(2,4)], axes = T)
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plot(geom, add = T, col = x$exposure)
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legend('left', legend = levels(x$exposure), col = 1:length(x$exposure), pch = 1)
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par(mar = oldpar$mar)
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invisible(x)
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}
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#' @export
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print.sensebox = function(x, ...) {
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important_columns = c('name', 'exposure', 'lastMeasurement', 'phenomena')
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data = as.data.frame(x)
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print(data[important_columns], ...)
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invisible(x)
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}
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#' @export
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summary.sensebox = function(object, ...) {
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cat('box total:', nrow(object), fill = T)
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cat('\nboxes by exposure:')
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table(object$exposure) %>% print()
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cat('\nboxes by model:')
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table(object$model) %>% print()
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cat('\n')
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diffNow = (utc_date(Sys.time()) - object$lastMeasurement) %>% as.numeric(unit='hours')
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neverActive = object[is.na(object$lastMeasurement), ] %>% nrow()
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list(
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'last_measurement_within' = c(
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'1h' = nrow(object[diffNow <= 1, ]) - neverActive,
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'1d' = nrow(object[diffNow <= 24, ]) - neverActive,
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'30d' = nrow(object[diffNow <= 720, ]) - neverActive,
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'365d' = nrow(object[diffNow <= 8760, ]) - neverActive,
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'never' = neverActive
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)
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) %>% print()
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oldest = object[object$createdAt == min(object$createdAt), ]
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newest = object[object$createdAt == max(object$createdAt), ]
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cat('oldest box:', format(oldest$createdAt, '%F %T'), paste0('(', oldest$name, ')'), fill = T)
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cat('newest box:', format(newest$createdAt, '%F %T'), paste0('(', newest$name, ')'), fill = T)
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cat('\nsensors per box:', fill = T)
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lapply(object$phenomena, length) %>%
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as.numeric() %>%
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summary() %>%
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print()
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invisible(object)
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}
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