User: User R6 Class
In MazamaScience/AirSensorDataViewer: AirSensorDataViewer
Description
Create a user to act as a data and state storage object for AirSensor
DataViewer Shiny Application.
Details
Create an object that is responsible for housing the core state and data components of a
Shiny applications user session. Each user is dependent on a Shiny session object.
The methods and data of the object can be shared across modules without the requirment
to create reactive-values.
Methods
Public methods
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Method new()
Usage
User$new(session, ...)
Arguments
sessionA Shiny session object.
...Additional options
Details
User$pas: Return a future pa-synoptic object.
User$sensors: Return a future airsensor object.
User$pat: Return a future pa_timeseries object.
User$sensor: Return a future filtered airsensor object.
User$pwfsl: Return a future ws_monitor object from the PWFSLSmoke Package.
User$latest: Return a future latest pa-timeseries object (from pat_createNew()).
User$annual: Return an annual future airsensor object.
User$noaa: Return a future dataframe generated from NOAA Database.
User$selected$...: Access Shiny Input reactive values.
User$url: Access the current page URL for bookmarking state.
User$token: Access the current session token ID.
User$url: Access the waiter object for controling visual loading state.
Create a user.
Method updatePas()
Usage
User$updatePas(date = NULL, tz = getOption("asdv.timezone"))
Arguments
dateYYYYmmdd.
Details
Update the users pa_synoptic data.
Method updateSensors()
Usage
User$updateSensors(sd, ed, ...)
Arguments
sdstartdate YYYYmmdd.
edenddate YYYYmmdd.
...additional params.
Details
Update the users airsensor object.
Method updatePat()
Usage
User$updatePat(label, sd, ed, tz = getOption("asdv.timezone"))
Arguments
sdstartdate YYYYmmdd.
edenddate YYYYmmdd.
Details
Update the users pa_timeseries object.
Method updateSensor()
Usage
User$updateSensor(label)
Arguments
labelthe sensor label to filter the airsensor object by.
Details
Update the users filtered airsensor object.
Commonly used when a user selects a different sensor.
Method updatePwfsl()
Usage
User$updatePwfsl(label, sd, ed, tz = getOption("asdv.timezone"))
Arguments
label?
sdstartdate YYYYmmdd.
edenddate YYYYmmdd.
Details
Update the users ws_monitor object.
Method updateLatest()
Usage
User$updateLatest(label, tz = getOption("asdv.timezone"))
Arguments
labela label of the sensor.
tza specified timezone. (default: UTC)
Details
Update the users latest pa_timeseries object.
Method updateAnnual()
Usage
User$updateAnnual(date, tz = getOption("asdv.timezone"))
Arguments
datea date to parse year from.
Details
Update the users annual airsensor object.
Method updateNoaa()
Usage
User$updateNoaa(sd, ed)
Arguments
sdstartdate YYYYmmdd.
edenddate YYYYmmdd.
Details
Update the users NOAA data.
Method clone()
The objects of this class are cloneable with this method.
Usage
User$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
MazamaScience/AirSensorDataViewer documentation built on April 2, 2021, 12:24 a.m.
R Package Documentation
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Description
Create a user to act as a data and state storage object for AirSensor DataViewer Shiny Application.
Details
Create an object that is responsible for housing the core state and data components of a Shiny applications user session. Each user is dependent on a Shiny session object. The methods and data of the object can be shared across modules without the requirment to create reactive-values.
Methods
Public methods
Method new()
Usage
User$new(session, ...)
Arguments
sessionA Shiny session object.
...Additional options
Details
User$pas: Return a future pa-synoptic object.
User$sensors: Return a future airsensor object.
User$pat: Return a future pa_timeseries object.
User$sensor: Return a future filtered airsensor object.
User$pwfsl: Return a future ws_monitor object from the PWFSLSmoke Package.
User$latest: Return a future latest pa-timeseries object (from pat_createNew()).
User$annual: Return an annual future airsensor object.
User$noaa: Return a future dataframe generated from NOAA Database.
User$selected$...: Access Shiny Input reactive values.
User$url: Access the current page URL for bookmarking state.
User$token: Access the current session token ID.
User$url: Access the waiter object for controling visual loading state.
Create a user.
Method updatePas()
Usage
User$updatePas(date = NULL, tz = getOption("asdv.timezone"))Arguments
dateYYYYmmdd.
Details
Update the users pa_synoptic data.
Method updateSensors()
Usage
User$updateSensors(sd, ed, ...)
Arguments
sdstartdate YYYYmmdd.
edenddate YYYYmmdd.
...additional params.
Details
Update the users airsensor object.
Method updatePat()
Usage
User$updatePat(label, sd, ed, tz = getOption("asdv.timezone"))Arguments
sdstartdate YYYYmmdd.
edenddate YYYYmmdd.
Details
Update the users pa_timeseries object.
Method updateSensor()
Usage
User$updateSensor(label)
Arguments
labelthe sensor label to filter the airsensor object by.
Details
Update the users filtered airsensor object. Commonly used when a user selects a different sensor.
Method updatePwfsl()
Usage
User$updatePwfsl(label, sd, ed, tz = getOption("asdv.timezone"))Arguments
label?
sdstartdate YYYYmmdd.
edenddate YYYYmmdd.
Details
Update the users ws_monitor object.
Method updateLatest()
Usage
User$updateLatest(label, tz = getOption("asdv.timezone"))Arguments
labela label of the sensor.
tza specified timezone. (default: UTC)
Details
Update the users latest pa_timeseries object.
Method updateAnnual()
Usage
User$updateAnnual(date, tz = getOption("asdv.timezone"))Arguments
datea date to parse year from.
Details
Update the users annual airsensor object.
Method updateNoaa()
Usage
User$updateNoaa(sd, ed)
Arguments
sdstartdate YYYYmmdd.
edenddate YYYYmmdd.
Details
Update the users NOAA data.
Method clone()
The objects of this class are cloneable with this method.
Usage
User$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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