PurpleAirSoH_dailyPctValid: Daily valid percentage
In MazamaScience/AirSensor: Process and Display Data from Air Quality Sensors
View source: R/PurpleAirSoH_dailyPctValid.R
PurpleAirSoH_dailyPctValid R Documentation
Daily valid percentage
Description
The number of valid (i.e., not NA or out-of-spec) sensor
measurements are summed over the course of a calendar day, then divided by the
total number of measurements the sensor actually recorded during that day
(including NA and out-of-spec values) to return a percentage of the total
recorded measurements that are considered plausible. This metric utilizes the
same bounds as the pat_qc() function to identify out-of-spec values.
Usage
PurpleAirSoH_dailyPctValid(pat = NULL)
Arguments
pat
PurpleAir Timeseries pat object.
Examples
library(AirSensor)
tbl <-
example_pat %>%
PurpleAirSoH_dailyPctValid()
timeseriesTbl_multiPlot(tbl, ylim = c(0,100))
MazamaScience/AirSensor documentation built on April 28, 2023, 11:16 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/PurpleAirSoH_dailyPctValid.R
| PurpleAirSoH_dailyPctValid | R Documentation |
Daily valid percentage
Description
The number of valid (i.e., not NA or out-of-spec) sensor
measurements are summed over the course of a calendar day, then divided by the
total number of measurements the sensor actually recorded during that day
(including NA and out-of-spec values) to return a percentage of the total
recorded measurements that are considered plausible. This metric utilizes the
same bounds as the pat_qc() function to identify out-of-spec values.
Usage
PurpleAirSoH_dailyPctValid(pat = NULL)
Arguments
pat |
PurpleAir Timeseries pat object. |
Examples
library(AirSensor)
tbl <-
example_pat %>%
PurpleAirSoH_dailyPctValid()
timeseriesTbl_multiPlot(tbl, ylim = c(0,100))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.