Function reference • AirSensor

All functions
`AIRSENSOR_1_PAT_FIELDS`	Comma-separated list of fields needed to create AirSensor pat objects.
`APIKeys`	Work with API keys
`AirSensor`	Data access and analysis functions for PurpleAir sensor data
`ArchiveBaseDir`	Base directory for pre-generated data
`ArchiveBaseUrl`	Base URL for pre-generated data
`PurpleAirQC_hourly_AB_00()`	Apply hourly aggregation QC using "AB_OO" algorithm
`PurpleAirQC_hourly_AB_01()`	Apply hourly aggregation QC using "AB_O1" algorithm
`PurpleAirQC_hourly_AB_02()`	Apply hourly aggregation QC using "AB_O2" algorithm
`PurpleAirQC_hourly_AB_03()`	Apply hourly aggregation QC using "AB_O4" algorithm
`PurpleAirSoH_dailyABFit()`	Daily linear model fit values
`PurpleAirSoH_dailyABtTest()`	Daily t-test
`PurpleAirSoH_dailyMetFit()`	Daily fit values
`PurpleAirSoH_dailyPctDC()`	Daily DC Signal percentage
`PurpleAirSoH_dailyPctReporting()`	Daily reporting percentage
`PurpleAirSoH_dailyPctValid()`	Daily valid percentage
`PurpleAirSoH_dailyToIndex_00()`	Daily state of health index
`SCAQMD_SENSOR_INDICES`	Comma separated list of SCAQMD sensor indices.
`SENSOR_DATA_AVG_PM25_FIELDS`	Comma-separated list of fields needed to create a pas object.
`SENSOR_DATA_PM25_FIELDS`	Comma-separated list of fields needed for PM2.5 data analysis.
`SENSOR_HISTORY_PM25_FIELDS`	Comma-separated list of fields needed for PM2.5 data analysis.
`example_pas`	Example Purple Air Synoptic dataset
`example_pat`	Example PurpleAir Timeseries dataset
`example_sensor`	Example AirSensor Timeseries dataset
`example_sensor_scaqmd`	Example AirSensor Timeseries dataset
`getArchiveBaseDir()`	Get data archive base directory
`getArchiveBaseUrl()`	Get data archive base URL
`initializeMazamaSpatialUtils()`	Initialize MazamaSpatialUtils package
`multi_ggplot()`	Display multiple plots on one page
`pa_checkAPIKey()`	Check the validity and type for the provided `api_key`.
`pa_createGroup()`	Create a new group.
`pa_createMember()`	Create a new member within the specified group.
`pa_deleteGroup()`	Delete the specified group.
`pa_deleteMember()`	Delete a member from the specified group.
`pa_getGroupDetail()`	Retrieve all members of the specified group.
`pa_getGroupsList()`	Retrieve all groups owned by the provided `api_key`.
`pa_getMemberData()`	Retrieve recent data for a single sensor in the specified group.
`pa_getMemberHistory()`	Retrieve historical data for a single sensor of the specified group.
`pa_getMembersData()`	Retrieve current data for all sensors in the specified group.
`pa_getSensorData()`	Retrieve the latest data of a single sensor.
`pa_getSensorHistory()`	Retrieve historical data for a single sensor.
`pa_getSensorHistoryCSV()`	Retrieve historical data for a single sensor as CSV.
`pa_getSensorsData()`	Retrieve the latest data of multiple sensors matching the provided parameters.
`pas_addUniqueIDs()`	Add Unique Identifiers to PurpleAir Synoptic Data
`pas_createNew()`	Create a new PurpleAir synoptic dataset
`pas_downloadParseRawData()`	Download synoptic data from PurpleAir
`pas_enhanceRawData()`	Enhance synoptic data from PurpleAir
`pas_filter()`	General purpose filtering for PurpleAir Synoptic objects
`pas_filterArea()`	Rectangle area filtering for PurpleAir Synoptic objects
`pas_filterNear()`	Find PurpleAir sensors within radial distance
`pas_getColumn()`	Return column of data from filtered PurpleAir Synoptic objects
`pas_getDeviceDeploymentIDs()`	Return timeseries identifiers from filtered PurpleAir Synoptic objects
`pas_getIDs()`	Return IDs from filtered PurpleAir Synoptic objects
`pas_getLabels()`	Return labels from filtered PurpleAir Synoptic objects
`pas_hasSpatial()`	Test for spatial metadata in pa_synoptic object
`pas_isEmpty()`	Test for an empty pa_synoptic object
`pas_isPas()`	Test for correct structure in a pa_synoptic object
`pas_leaflet()`	Leaflet interactive map of PurpleAir sensors
`pas_load()`	Load PurpleAir synoptic data
`pas_palette()`	Color palettes for PurpleAir
`patData_aggregate()`	Aggregate PurpleAir Timeseries Data
`pat_aggregate()`	Aggregate PurpleAir Timeseries Object
`pat_aggregateOutlierCounts()`	Aggregate data with count of outliers in each bin
`pat_createAirSensor()`	Create an Air Sensor object
`pat_createNew()`	Create a new PurpleAir timeseries dataset.
`pat_dailySoH()`	Daily state of health
`pat_dailySoHIndexPlot()`	Daily State of Health metric plot
`pat_dailySoHIndex_00()`	State of Health index plot
`pat_dailySoHPlot()`	Daily State of Health metric plot
`pat_distinct()`	Retain only distinct data records in pat$data
`pat_downloadParseRawData()`	Download time series data from PurpleAir
`pat_dygraph()`	Interactive time series plot
`pat_externalFit()`	Linear model fitting of PurpleAir and federal PWFSL time series data
`pat_extractData()` `pat_extractMeta()`	Extract dataframes from pat objects
`pat_filter()`	General purpose data filtering for PurpleAir Timeseries objects
`pat_filterDate()`	Date filtering for PurpleAir Timeseries objects
`pat_filterDatetime()`	Datetime filtering for PurpleAir Timeseries objects
`pat_internalFit()`	Linear model fitting of channel A and B time series data
`pat_isEmpty()`	Test for an empty pat object
`pat_isPat()`	Test for correct structure in a pat object
`pat_join()`	Join PurpleAir time series data for a single sensor
`pat_load()`	Load PurpleAir time series data for a time period
`pat_loadLatest()`	Load PurpleAir time series data for a week
`pat_loadMonth()`	Load PurpleAir time series data for a month
`pat_monitorComparison()`	Comparison of Purple Air and federal monitoring data
`pat_multiPlot()` `pat_multiplot()`	Display multiple plots on one page
`pat_outliers()`	Detect and replace time series outliers
`pat_qc()`	Apply quality control on PurpleAir Timeseries object
`pat_sample()`	Sample PurpleAir time series data
`pat_scatterPlotMatrix()`	Draw a matrix of PurpleAir Timeseries data scatter plots
`pat_trimDate()`	Trim a PurpleAir Timeseries object to full days
`pat_upgrade()`	Upgrade PurpleAir Timeseries
`pwfsl_load()`	Get PWFSLSmoke monitoring data
`pwfsl_loadLatest()`	Get PWFSLSmoke monitoring data
`scatterPlot()`	Matrix scatter plot variables in a data frame
`sensor_calendarPlot()`	Plot time series values in conventional calendar format
`sensor_extractData()` `sensor_extractMeta()`	Extract dataframes from airsensor objects
`sensor_filter()`	Data filtering for AirSensor objects
`sensor_filterDate()`	Date filtering for AirSensor objects
`sensor_filterDatetime()`	Datetime filtering for AirSensor objects
`sensor_filterMeta()`	Metadata filtering for AirSensor objects
`sensor_isEmpty()`	Test for an empty sensor object
`sensor_isSensor()`	Test for correct structure in a sensor object
`sensor_join()`	Join airsensor objects from different time periods
`sensor_load()`	Load hourly-aggregated PurpleAir data
`sensor_loadLatest()`	Load hourly-aggregated PurpleAir data for a week
`sensor_loadMonth()`	Load hourly-aggregated PurpleAir data for a month
`sensor_loadYear()`	Load hourly-aggregated PurpleAir data for a month
`sensor_polarPlot()`	Plot bivariate polar plots with guassian smoothing
`sensor_pollutionRose()`	Pollution rose plot
`setArchiveBaseDir()`	Set data archive base directory
`setArchiveBaseUrl()`	Set data archive base URL
`spatialIsInitialized()`	Check if MazamaSpatialUtils has been initialized
`timeseriesTbl_multiPlot()`	Faceted plot of a timeseries tibble

Reference

All functions