Calculate percentile values from a time series
Calculates multiple percentile values from a time series, with flexible time aggregation.
calcPercentile( mydata, pollutant = "o3", avg.time = "month", percentile = 50, data.thresh = 0, start = NA )
mydata |
A data frame of data with a |
pollutant |
Name of variable to process. Mandatory. |
avg.time |
Averaging period to use. See |
percentile |
A vector of percentile values. For example
|
data.thresh |
Data threshold to apply when aggregating data. See
|
start |
Start date to use - see |
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.
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.
David Carslaw
# 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)
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