These functions are convenient wrappers for extracting the dataframes that comprise a raws_timeseries object. These functions are designed to be useful when manipulating data in a pipeline chain using %>%.

raws_getData(rawsObject = NULL, forOpenair = FALSE)

raws_getMeta(rawsObject = NULL)

Arguments

rawsObject

raws_timeseries object to extract dataframe from

forOpenair

Logical instructions to clean data for use with openair

Value

A dataframe from the given raws_timeseries object

Examples

# \donttest{
library(RAWSmet)

data <-
  example_cefa_Saddle_Mountain %>%
  raws_getData(forOpenair = TRUE)

# openair::timePlot(
#  data,
#  pollutant = "temperature"
# )

example_cefa_Saddle_Mountain %>%
  raws_getMeta() %>%
  head()
#> # A tibble: 1 × 14
#>   deviceDeploymentID      deviceID locationID    locationName longitude latitude
#>   <chr>                   <chr>    <chr>         <chr>            <dbl>    <dbl>
#> 1 84a66be3fc5b535e_452701 452701   84a66be3fc5b… SADDLE MOUN…     -120.     46.7
#> # ℹ 8 more variables: elevation <dbl>, countryCode <chr>, stateCode <chr>,
#> #   timezone <chr>, nwsID <chr>, wrccID <chr>, nessID <chr>, agencyName <chr>
# }