R/data.R

#' @title Example FW13 station metadata
#' @format A dataframe with 66 rows and 11 columns of data.
#' @description The \code{example_cefa_meta} dataset provides a small subset of
#' FW13 station metadata containing only stations in Washington state.
#'
#' This dataset was generated on 2022-01-31 by running:
#'
#' \preformatted{
#' library(RAWSmet)
#' library(MazamaSpatialUtils)
#' library(dplyr)
#'
#' setSpatialDataDir("~/Data/Spatial")
#'
#' cefa_meta <- cefa_createMeta()
#'
#' example_cefa_meta <- dplyr::filter(cefa_meta, stateCode == "WA")
#'
#' save(example_cefa_meta, file = "data/example_cefa_meta.rda")
#' }
#'
"example_cefa_meta"


#' @title Example WRCC station metadata
#' @format A dataframe with 121 rows and 11 columns of data.
#' @description The \code{example_wrcc_meta} dataset provides a small subset of
#' WRCC station metadata containing only stations in Washington state.
#'
#' This dataset was generated on 2020-09-06 by running:
#'
#' \preformatted{
#' library(RAWSmet)
#' library(MazamaSpatialUtils)
#'
#' setSpatialDataDir("~/Data/Spatial")
#' loadSpatialData("NaturalEarthAdm1")
#'
#' example_wrcc_meta <- wrcc_createMeta(stateCode = "WA")
#'
#' save(example_wrcc_meta, file = "data/example_wrcc_meta.rda")
#' }
#'
"example_wrcc_meta"


#' @title Example FW13 timeseries data
#' @format A \emph{raws_timeseries object} containing \code{meta} and \code{data} dataframes.
#' \code{meta} has 1 row and 11 columns and \code{data} has 8744 rows and 13 columns.
#' @description The \code{example_cefa_Saddle_Mountain} dataset provides a quickly loadable
#' \emph{raws_timeseries} object containing FW13 data for the station in Saddle Mountain,
#' Washington, (nwsID: 452701) in 2017.
#'
#' This dataset was generated on 2022-01-31 by running:
#'
#' \preformatted{
#' library(RAWSmet)
#'
#' cefa_meta <- cefa_createMeta()
#' example_cefa_Saddle_Mountain <-
#'   cefa_createRawsObject(nwsID = "452701", meta = cefa_meta) %>%
#'   raws_filterDate(20170101, 20180101, timezone = "America/Los_Angeles")
#'
#' save(example_cefa_Saddle_Mountain, file = "data/example_cefa_Saddle_Mountain.rda")
#' }
#'
"example_cefa_Saddle_Mountain"


#' @title Example WRCC timeseries data
#' @format A \emph{raws_timeseries object} containing \code{meta} and \code{data} dataframes.
#' \code{meta} has 1 row and 11 columns and \code{data} has 708 rows and 9 columns.
#' @description The \code{example_wrcc_Saddle_Mountain} dataset provides a quickly loadable
#' \emph{raws_timeseries} object containing WRCC data for the station in Saddle Mountain,
#' Washington, (wrccID: waWSAD) between August 8th and September 6th 2020.
#'
#' This dataset was generated on 2020-09-06 by running:
#'
#' \preformatted{
#' library(RAWSmet)
#' setRawsDataDir("~/Data/RAWS")
#'
#' wrcc_meta <- wrcc_loadMeta(stateCode = "WA")
#' example_wrcc_Saddle_Mountain <- wrcc_loadYear(wrccID = "waWSAD", meta = wrcc_meta, year = 2020, password = MY_PASSWORD)
#'
#' save(example_wrcc_Saddle_Mountain, file = "data/example_wrcc_Saddle_Mountain.rda")
#' }
#'
"example_wrcc_Saddle_Mountain"

#' @title Example list of FW13 timeseries data
#' @format A list of two \emph{raws_timeseries} objects each containing \code{meta} and \code{data} dataframes.
#' @description The \code{example_cefaList} dataset provides a quickly loadable list of
#' \emph{raws_timeseries} objects containing FW13 data for the station in Saddle Mountain, and Wellpinit
#' Washington, (nwsIDs: 452701, 452918) from September 2017.
#'
#' This dataset was generated on 2022-01-31 by running:
#'
#' \preformatted{
#' library(RAWSmet)
#'
#' setRawsDataDir("~/Data/RAWS")
#'
#' nwsIDs <- c("452701", "452918")
#' example_cefaList <-
#'   cefa_loadMultiple(nwsIDs = nwsIDs) %>%
#'   rawsList_filterDate(20170901, 20171001, timezone = "America/Los_Angeles")
#'
#' save(example_cefaList, file = "data/example_cefaList.rda")
#' }
#'
"example_cefaList"

#' @title Example list of WRCC timeseries data
#' @format A list of two \emph{raws_timeseries} objects each containing \code{meta} and \code{data} dataframes.
#' @description The \code{example_wrccList} dataset provides a quickly loadable list of
#' \emph{raws_timeseries} objects containing WRCC data for the station in Saddle Mountain, and Wellpinit
#' Washington, (wrccIDs: waWSAD, waWWLP) between September 30th and October 1st 2020.
#'
#' This dataset was generated on 2020-10-1 by running:
#'
#' \preformatted{
#' library(RAWSmet)
#'
#' setRawsDataDir("~/Data/RAWS")
#'
#' wrccIDs <- c("waWSAD", "waWWLP")
#' example_wrccList <- wrcc_loadMultiple(wrccIDs = wrccIDs, year = 2020, password = MY_PASSWORD)
#'
#' save(example_wrccList, file = "data/example_wrccList.rda")
#' }
#'
"example_wrccList"
MazamaScience/RAWSmet documentation built on May 6, 2023, 6:57 a.m.