DODR (version 0.99.2)

robustDODR: Asymmetric variant of Chow method applied on harmonic regression

Description

Asymmetric variant of Chow method applied on harmonic regression

Usage

robustDODR(val1, val2, times1, times2, period, norm = TRUE)

Arguments

val1

matrix: data for values in first set. One column per sample, one row per time point

val2

matrix: data for values in second set. One column per sample, one row per time point

times1

vector: times of first set.

times2

vector: times of second set.

period

numeric: period of the oscillations. Same unit as the time points in times1 and times2

norm

boolean: whether to normalize the time series (division by mean), prior to the analysis.

Value

data frame with following columns:

• p.value: P-value for difference between the two time series
• F: F score from the underlying drop.test test
• diff: Measure for the difference between the two fits

Details

This test uses a robust Fitting drop test to test for differences between two time series. Therefore the time series are fitted to sine curves with a fixed period length and free phase and amplitude. In one case phase and amplitude have two be the same for both series, in the other case phase and amplitude could differ for the two series.