paris: PM2.5 and PM10 measurements in Paris in 2019
In logNormReg: log Normal Linear Regression

Description Usage Format Details Source Examples

Hourly time series of PM2.5 and PM10 measurements in Paris in 2019

1	data("paris")

A data frame with 647 observations on the following 4 variables.

utc: date and time of measurements
pm25: The PM2.5 measurements
pm10: The PM10 measurements
hours: numeric, the measurement hours

Ambient particulate matter measurements (PM 2.5 and PM 10) measured by reference-grade instruments for Paris - Centre, hourly measurements for July 2019. Non-physical measurements (zero values and outliers with PM2.5 greater than 2xPM10) were removed, as mass of PM2.5 is a fraction of mass of PM10 by definition.

European Environmental Agency, through Open AQ (https://openaq.org/#/location/4146). Thanks to Vito Ilacqua (EPA) for pointing out that.

data(paris)
plot(pm10~pm25, data=paris)
o<-lm(pm10~pm25, data=paris) #negative intercept! it's meaningless..
o1<-lognlm(pm10 ~ pm25, data=paris, lik=TRUE)
abline(coef=coef(o),  col=2)
abline(coef=coef(o1), col=3)