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opensensmapR/R/box_utils.R

63 lines
2.0 KiB
R

`%>%` = magrittr::`%>%`
plot.sensebox = function (x) {
# TODO: background map?
geom = sf::st_geometry(x)
plot(geom, graticule = st_crs(geom), axes = TRUE)
invisible(x)
}
print.sensebox = function(x) {
important_columns = c('name', 'exposure', 'lastMeasurement', 'phenomena')
data = as.data.frame(x) # to get rid of the sf::`<-[` override..
message(class(data))
print(data[important_columns])
invisible(x)
}
summary.sensebox = function(x) {
df = as.data.frame(x) # the sf methods are messing with us again..
cat('boxes total:', nrow(df), fill = T)
cat('\nboxes by exposure:')
table(df$exposure) %>% print()
cat('\nboxes by model:')
table(df$model) %>% print()
cat('\n')
diffNow = (lubridate::now() - df$lastMeasurement) %>% as.numeric(unit='hours')
neverActive = df[is.na(df$lastMeasurement), ] %>% nrow()
list(
'last_measurement_within' = c(
'1h' = nrow(df[diffNow <= 1, ]) - neverActive,
'1d' = nrow(df[diffNow <= 24, ]) - neverActive,
'30d' = nrow(df[diffNow <= 720, ]) - neverActive,
'365d' = nrow(df[diffNow <= 8760, ]) - neverActive,
'never' = neverActive
)
) %>%
print()
oldest = df[df$createdAt == min(df$createdAt), ]
newest = df[df$createdAt == max(df$createdAt), ]
cat('oldest box:', format(oldest$createdAt, '%F %T'), paste0('(', oldest$name, ')'), fill = T)
cat('newest box:', format(newest$createdAt, '%F %T'), paste0('(', newest$name, ')'), fill = T)
cat('\nsensors per box:', fill = T)
lapply(df$phenomena, length) %>%
as.numeric() %>%
summary() %>%
print()
invisible(x)
}
osem_phenomena = function (x) UseMethod('osem_phenomena')
osem_phenomena.default = function (x) stop('not implemented')
osem_phenomena.sensebox = function (x) {
Reduce(`c`, x$phenomena) %>% # get all the row contents in a single vector
table() %>% # get the counts
t() %>% # transform the table to an easier to work with df
as.data.frame.matrix()
}