raws_extractMeta() and raws_extractData() functions
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jonathancallahan commented
For pipelines, it will be useful to be able to extract the meta
or data
data frames with a function. This will allow use to create "recipe style" pipelines. My goal is to end up with code like this:
fw13_load("451702") %>%
fw13_filterDate(20050801, 20050901, timezone = "America/Los_Angeles") %>%
raws_extractData(forOpenair = TRUE) %>%
openair::timePlot(
pollutant = c("temperature", "humidity"),
avg.time = "hour",
main = "Temperature and Humidity in Enumclaw, August 2005",
key = TRUE,
name.pol = c("temperature (°F)", "humidity (%)"),
ylab = ""
)
These functions will be almost identical to similar functions in AirSensor:
While you're at it, let's create raws_~()
functions for each of:
-
raws_isRaws()
-
raws_isEmpty()
-
raws_distinct()
(but leave off the .replaceRecordsWithDuplicateTimestamps() part) -
raws_extractData()
(but add support forforOpenair = TRUE
) -
raws_exttractMeta()