How to specify a data thresh

[forlornfortress]

Hello,

I have a dataframe with hourly ozone data for the period 2000-2017 and I need to calculate the anual means taking into account current legislation. Legislation establishes a data thresh of 90% for summer (april-september) and 75% for winter (october-march).
I now that the aqstats function from the openair package does it, but the data.thresh argument does not let me do that.

Thanks in advance!

[pieterjanvc]

Hi,

In order for us to help you with your question, please provide us a minimal reproducible example where you provide a minimal (dummy) dataset and code that can recreate the issue. Once we have that, we can go from there. For help on creating a Reprex, see this guide:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

Good luck!
PJ

[forlornfortress]

Hello, thanks for answering. I hope this dataset helps.

I have tried the aqStats function:
aqStats(selectByDate(datao3, year = 2000:2017), pollutant = "o3", type = "code", percentile=c(5,25,50,75,90,95,99), data.thresh = 75, transpose=FALSE)

But I don't know how to manage the data thresh argument.

[andresrcs]

@forlornfortress

I hope this dataset helps.

That is not a dataset is a screenshot, we can copy from that to reproduce your code, please read the guide and try to make a proper reproducible example