A generalized data filter for rawsDF objects to
choose rows/cases where conditions are true. Multiple conditions are
combined with & or separated by a comma. Only rows where the condition
evaluates to TRUE are kept.Rows where the condition evaluates to NA
are dropped.
rawsDF_filter(rawsDF = NULL, ...)rawsDF object.
Logical predicates defined in terms of the variables in the
rawsDF.
A subset of the incoming rawsDF.
# \donttest{
library(RAWSmet)
rawsObject <- example_cefa_Saddle_Mountain
rawsDF <- rawsObject %>% raws_toRawsDF()
daytime <- rawsDF_filter(rawsDF, solarRadiation > 0)
head(daytime)
#> # A tibble: 6 × 21
#> datetime temperature humidity windSpeed windDirection maxGustSpeed
#> <dttm> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 2017-01-01 17:00:00 -5 97 0.894 127 1.79
#> 2 2017-01-01 18:00:00 -4.44 99 0.894 293 1.34
#> 3 2017-01-01 19:00:00 -2.78 99 1.79 273 2.24
#> 4 2017-01-01 20:00:00 -2.22 99 0.894 252 2.24
#> 5 2017-01-01 21:00:00 -2.22 99 0.894 212 1.34
#> 6 2017-01-01 22:00:00 -1.67 99 0.894 325 1.34
#> # ℹ 15 more variables: maxGustDirection <dbl>, precipitation <dbl>,
#> # solarRadiation <dbl>, fuelMoisture <dbl>, fuelTemperature <chr>,
#> # monitorType <chr>, nwsID <chr>, wrccID <chr>, locationName <chr>,
#> # longitude <dbl>, latitude <dbl>, timezone <chr>, elevation <dbl>,
#> # VPD <dbl>, FFWI <dbl>
# }