A simmple wrapper around dplyr::pull() to help with readability of user recipes.

pas_get(pas, name = NULL)

Arguments

pas

PurpleAir Synoptic pas object.

name

Name of the data column to return.

Value

A single column of data from the incoming pas object.

Examples

library(AirSensor2)

# Lane (County) Regional Air Protection Agency
LRAPA_sensor_indices <-
  example_pas %>%
  pas_filter(stringr::str_detect(name, "^LRAPA")) %>%
  pas_get("sensor_index")

print(LRAPA_sensor_indices)
#>  [1] "453"    "3255"   "3408"   "3419"   "3904"   "3911"   "137754" "137756"
#>  [9] "137766" "137782" "137786" "137784" "10554"  "10592"  "10594"  "10596" 
#> [17] "10606"  "10610"  "10614"  "10640"  "10642"  "10644"  "10648"  "10664" 
#> [25] "146152" "146162" "146498" "146502" "163849" "34195"  "165485" "37847" 
#> [33] "38593"  "38595"  "38631"  "38681"  "38703"  "38749"  "38771"  "56793" 
#> [41] "56961"  "56971"  "57669"  "80209"  "80331"  "80335"  "80381"  "80397"