This is an example of a single time series with increasing trend and some variability.

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

ts function

A data frame with 35 rows and 1 variable:<dl>
 <dt>dati</dt>
<dd>pseudo random numers</dd></dl>

Format

Time series — ts

A data frame with 35 rows and 1 variable:<dl>
 <dt>dati</dt>
<dd>pseudo random numers</dd>



</dl>

ts: Time series

Description

Usage

Arguments

Format