dati

This sample data would be invented meteorological information detected by weather stations.

datasets

Time series outlier detection with non parametric test. This is a new outlier detection methodology (washer): efficient for time saving elaboration and implementation procedures, adaptable for general assumptions and for needing very short time series, reliable and effective as involving robust non parametric test. You can find two approaches: single time series (a vector) and grouped time series (a data frame). For other informations: Andrea Venturini (2011) Statistica - Universita di Bologna, Vol.71, pp.329-344. For an informal explanation look at R-bloggers on web.

Andrea Venturini

washeR

Time Series Outlier Detection

dati function

A data frame with 800 rows and 4 variables:<dl>
 <dt>phen</dt>
<dd>Temperature, Rain</dd> <dt>time</dt>
<dd>ordered numbers for time (a number in the format YYYYMMDD [Year Month Day] is possible too)</dd> <dt>zone</dt>
<dd>label classification for the group, for example the identification code of a wheather station.</dd> <dt>value</dt>
<dd>values</dd></dl>

Format

Data frame of meteorological data — dati

A data frame with 800 rows and 4 variables:<dl>
 <dt>phen</dt>
<dd>Temperature, Rain</dd>

 <dt>time</dt>
<dd>ordered numbers for time (a number in the format YYYYMMDD [Year Month Day] is possible too)</dd>

 <dt>zone</dt>
<dd>label classification for the group, for example the identification code of a wheather station.</dd>

 <dt>value</dt>
<dd>values</dd>



</dl>

dati: Data frame of meteorological data

Description

Usage

Arguments

Format