ts_trend_season: ts_trend_season

In sigbertklinke/exams2moodle: Access routines to XML Moodle files and helper routines to simplify generating exercises for Moodle from the 'exams' package

ts_trend_season

Description

Estimate a trend and season model from a ts_data object.

Usage

ts_trend_season(ts, trend = NULL, season = NULL)

Arguments

ts	ts_data object
trend	numeric or logical: if trend is TRUE then a linear trend will be estimated otherwise an exponential trend. If trendis numeric this is talen as trend values
season	numeric or logical:

Value

returns an extended ts_data object with list elements:

• t the time points

• s the season for the time poins

• xt the time series values

• trend the fitted trend values

• trend.coeff the trend coefficients

• trend.linear the trend type, if NA then it is unknown

• season the fitted season values

• season.t the fitted season values for the time series

• trend.season the fitted values for trend and season

• trend.linear the trend type, if NA then it is unknown

• var the variance of the residuals

• r.square the R^2 of the final model

Examples

ts <- ts_data(12, trend.coeff= c(sample(0:10, 1), sample(1+(1:10)/20, 1)))
ts_trend_season(ts)

sigbertklinke/exams2moodle documentation built on July 6, 2023, 3:26 p.m.