poblenou data
NOx levels measured every hour by a control station in Poblenou in Barcelona (Spain).
The format is:..$nox: fdata class object with:
i.- "data": Matrix with 115 curves (rows) discretized in 24 points or
argvals (columns).
ii.- "argvals": 0:23
iii.-
"rangeval"=(0,23): range("argvals"),
iv.- "names"
list with: main an overall title "NOx data set", xlab title
for x axis "Hours" and ylab title for y axis "NOx
(mglm^3)"...$df: Data Frame with (115x3) dimension.
"date" in the first column.
Second column ("day.week"). Factor levels:
"Monday" 1, "Tuesday" 2, "Wednesday" 3, "Thursday" 4, "Friday" 5, "Saturday"
6 and "Sunday" 7.
Third column "day.festive". Factor levels: "non
festive day" 0 and "festive day" 1.
The dataset starts on 23 February and ends on 26 June, in 2005. We split the
whole sample of hourly measures in a dataset of functional trajectories of
24 h observations (each curve represents the evolution of the levels in 1
day).
Twelve curves that contained missing data were eliminated.
Febrero-Bande, M and Oviedo de la Fuente, Manuel
Febrero-Bande, M., Galeano, P., and Gonzalez-Manteiga, W. (2008). Outlier detection in functional data by depth measures with application to identify abnormal NOx levels. Environmetrics 19, 4, 331-345.
data(poblenou) names(poblenou) names(poblenou$nox) nox<-poblenou$nox class(nox) ind.weekend<-as.integer(poblenou$df[,"day.week"])>5 plot(nox,col=ind.weekend+1)
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