SEAex

Maximum yearly temperature data from 1901 to 2022 in 11 countries in Southeast Asia and the average temperature of the
entire region extracted from Climatic Research Unit gridded Time Series Version 4.
Data contains only temperatures for Malaysia, Thailand, Vietnam and the average regional temperature.

datasets

Advanced statistical library offering a method to encapsulate and query the probability space of a
dataset effortlessly using Probability Boxes (p-boxes). Its distinctive feature lies in the ease with
which users can navigate and analyze marginal, joint, and conditional probabilities while taking into account
the underlying correlation structure inherent in the data using copula theory and models. A comprehensive explanation is available in the paper
"pbox: Exploring Multivariate Spaces with Probability Boxes" to be published in the Journal of Statistical Software.

Ahmed T. Hammad

pbox

Exploring Multivariate Spaces with Probability Boxes

SEAex function

## `SEAex`
A data frame with 122 rows and 4 columns:<dl>
 <dt>Malaysia,Thailand,Vietnam</dt>
<dd>Yearly max temperatures in Celsius for each country over 122 years.</dd> <dt>avgRegion</dt>
<dd>Average temperature in Celsius over the whole South East Asia region</dd>
</dl>

Format

Maximum yearly temperature data from 1901 to 2022 (CRU TS v4) — SEAex

## `SEAex`
A data frame with 122 rows and 4 columns:<dl>
 <dt>Malaysia,Thailand,Vietnam</dt>
<dd>Yearly max temperatures in Celsius for each country over 122 years.</dd>

 <dt>avgRegion</dt>
<dd>Average temperature in Celsius over the whole South East Asia region</dd>


</dl>

SEAex: Maximum yearly temperature data from 1901 to 2022 (CRU TS v4)

Description

Usage

Arguments

Format

Examples