opensensmapR/man/osem_measurements_archive.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/archive.R
\name{osem_measurements_archive}
\alias{osem_measurements_archive}
\alias{osem_measurements_archive.sensebox}
\title{Fetch day-wise measurements for a single box from the openSenseMap archive.}
\usage{
osem_measurements_archive(x, ...)

\method{osem_measurements_archive}{sensebox}(
  x,
  fromDate,
  toDate = fromDate,
  sensorFilter = ~T,
  ...,
  progress = T
)
}
\arguments{
\item{x}{A `sensebox data.frame` of a single box, as retrieved via \code{\link{osem_box}},
to download measurements for.}

\item{...}{see parameters below}

\item{fromDate}{Start date for measurement download, must be convertable via `as.Date`.}

\item{toDate}{End date for measurement download (inclusive).}

\item{sensorFilter}{A NSE formula matching to \code{x$sensors}, selecting a subset of sensors.}

\item{progress}{Whether to print download progress information, defaults to \code{TRUE}.}
}
\value{
A \code{tbl_df} containing observations of all selected sensors for each time stamp.
}
\description{
This function is significantly faster than \code{\link{osem_measurements}} for large
time-frames, as daily CSV dumps for each sensor from
\href{http://archive.opensensemap.org}{archive.opensensemap.org} are used.
Note that the latest data available is from the previous day.
}
\details{
By default, data for all sensors of a box is fetched, but you can select a
subset with a \code{\link[dplyr]{dplyr}}-style NSE filter expression.

The function will warn when no data is available in the selected period,
but continue the remaining download.
}
\section{Methods (by class)}{
\itemize{
\item \code{osem_measurements_archive(sensebox)}: Get daywise measurements for one or more sensors of a single box.

}}
\examples{
\donttest{
  # fetch measurements for a single day
  box = osem_box('593bcd656ccf3b0011791f5a')
  m = osem_measurements_archive(box, as.POSIXlt('2018-09-13'))

  # fetch measurements for a date range and selected sensors
  sensors = ~ phenomenon \%in\% c('Temperatur', 'Beleuchtungsstärke')
  m = osem_measurements_archive(
    box,
    as.POSIXlt('2018-09-01'), as.POSIXlt('2018-09-30'),
    sensorFilter = sensors
  )
}
}
\seealso{
\href{https://archive.opensensemap.org}{openSenseMap archive}

\code{\link{osem_measurements}}

\code{\link{osem_box}}
}