calcPercentile: Calculate percentile values from a time series

In davidcarslaw/openair: Tools for the Analysis of Air Pollution Data

Calculate percentile values from a time series

Description

Calculates multiple percentile values from a time series, with flexible time aggregation.

Usage

calcPercentile(
  mydata,
  pollutant = "o3",
  avg.time = "month",
  percentile = 50,
  data.thresh = 0,
  start = NA
)

Arguments

mydata	A data frame of data with a date field in the format Date or POSIXct. Must have one variable to apply calculations to.
pollutant	Name of variable to process. Mandatory.
avg.time	Averaging period to use. See timeAverage() for details.
percentile	A vector of percentile values. For example percentile = 50 for median values, percentile = c(5, 50, 95 for multiple percentile values.
data.thresh	Data threshold to apply when aggregating data. See timeAverage() for details.
start	Start date to use - see timeAverage() for details.

Details

This is a utility function to calculate percentiles and is used in, for example, timePlot. Given a data frame with a date field and one other numeric variable, percentiles are calculated.

Value

Returns a data frame with new columns for each percentile level. New columns are given names like percentile.95 e.g. when percentile = 95 is chosen. See examples below.

Author(s)

David Carslaw

See Also

timePlot, timeAverage()

Examples

# 95th percentile monthly o3 concentrations
percentiles <- calcPercentile(mydata, pollutant ="o3",
avg.time = "month", percentile = 95)

head(percentiles)

# 5, 50, 95th percentile monthly o3 concentrations
## Not run: 
percentiles <- calcPercentile(mydata, pollutant ="o3",
avg.time = "month", percentile = c(5, 50, 95))

head(percentiles)

## End(Not run)

davidcarslaw/openair documentation built on April 23, 2024, 4:08 p.m.