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39 lines
1.3 KiB
Plaintext
39 lines
1.3 KiB
Plaintext
6 years ago
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/archive.R
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\name{osem_measurements_archive}
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\alias{osem_measurements_archive}
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\alias{osem_measurements_archive.sensebox}
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\title{Get day-wise measurements for a single box from the openSenseMap archive.}
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\usage{
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osem_measurements_archive(x, ...)
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\method{osem_measurements_archive}{sensebox}(x, fromDate,
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toDate = fromDate, sensorFilter = ~T, progress = T)
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}
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\description{
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This function is significantly faster than `osem_measurements()` for large
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time-frames, as dayly CSV dumps for each sensor from
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<archive.opensensemap.org> are used.
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Note that the latest data available is from the previous day.
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By default, data for all sensors of a box is fetched, but you can select a
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subset with a `dplyr`-style NSE filter expression.
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}
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\section{Methods (by class)}{
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\itemize{
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\item \code{sensebox}: Get daywise measurements for one or
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more sensors of a single box
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}}
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\examples{
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\donttest{
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# fetch measurements for a single day
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box = osem_box('593bcd656ccf3b0011791f5a')
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m = osem_measurements_archive(box, as.POSIXlt('2018-09-13'))
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# fetch measurements for a date range and selected sensors
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sensors = ~ phenomenon \%in\% c('Temperatur', 'Beleuchtungsstärke')
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m = osem_measurements_archive(box, as.POSIXlt('2018-09-01'), as.POSIXlt('2018-09-30'), sensorFilter = sensors)
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}
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}
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