CanadianWeather

A dataset containing information about weather in Canadian weather stations

datasets

Different regression models with functional features are implemented: for continuous response, categorical response and ordinal response. The model for ordinal response has been published in: 'Analyzing cycling sensors data through ordinal logistic regression with functional covariates, Jacques J. and Samardzic S., Journal of the Royal Statistical Society, Series C, 1-18, 2022'.

Julien Jacques

FREG

Functional Regression Models

Sanja Samardzic

CanadianWeather function

A list that contains 8 variables:<dl class="dl-horizontal">
<dt>dailyAvg</dt><dd>average daily temperature and precipitation and log of precipitation for 35 Canadian weather stations</dd>
<dt>place</dt><dd>places where Canadian weather stations are located</dd>
<dt>province</dt><dd>provinces where Canadian weather stations are located</dd>
<dt>coordinates</dt><dd>geographical coordinates</dd>
<dt>region</dt><dd>regions where Canadian weather stations are located</dd>
<dt>monthlyTemp</dt><dd>monthly temperature data</dd>
<dt>monthlyPrecip</dt><dd>monthly precipitation data</dd>
<dt>geogindex</dt><dd>geographic index</dd>
</dl>

Format

Canadian Weather dataset. — CanadianWeather

A list that contains 8 variables:<dl class='dl-horizontal'>
<dt>dailyAvg</dt><dd>average daily temperature and precipitation and log of precipitation for 35 Canadian weather stations</dd>
<dt>place</dt><dd>places where Canadian weather stations are located</dd>
<dt>province</dt><dd>provinces where Canadian weather stations are located</dd>
<dt>coordinates</dt><dd>geographical coordinates</dd>
<dt>region</dt><dd>regions where Canadian weather stations are located</dd>
<dt>monthlyTemp</dt><dd>monthly temperature data</dd>
<dt>monthlyPrecip</dt><dd>monthly precipitation data</dd>
<dt>geogindex</dt><dd>geographic index</dd>
</dl>

CanadianWeather: Canadian Weather dataset.

Description

Usage

Arguments

Format