Wolfram Language Paclet Repository
Community-contributed installable additions to the Wolfram Language
Quantile regression over weather time series
Load the paclet
In[160]:=
Needs["AntonAntonov`QuantileRegression`"]
Take temperature data
In[161]:=
tsTemp=WeatherData[{"Atlanta","Georgia"},"Temperature",{{2018,1,1},{2023,1,1},"Day"}]
Out[161]=
TimeSeries
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Plot time series points
In[184]:=
opts={ImageSizeLarge,AspectRatio1/2,PlotTheme"Detailed",JoinedFalse};DateListPlot[tsTemp,opts]
Out[184]=
Contents cannot be rendered at this time; please try again later
Data summary
In[177]:=
ResourceFunction["RecordsSummary"][tsTemp["Path"]]
Out[177]=
,
1 column 1 | ||||||||||||
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2 column 2 | ||||||||||||||
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Find regression quantiles for 0.1, 0.5, 0.9
In[181]:=
AbsoluteTimingqs={0.1,0.5,0.9};qFuncs=
[QuantityMagnitude[tsTemp["Path"]],16,qs];
| QuantileRegression |
Out[181]=
{0.97348,Null}
Plot time series points with fitted regression quantiles
In[185]:=
DateListPlot[{tsTemp["Path"],Map[Function[{f},{#,f[#]}&/@tsTemp["Times"]],qFuncs]},opts,Joined{False,True,True,True},PlotLegends{"data",Sequence@@qs}]
Out[185]=
Contents cannot be rendered at this time; please try again later
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""