LaMa (version 2.0.4)

cosinor: Evaluate trigonometric basis expansion

Description

This function can be used to evaluate a trigonometric basis expansion for a given periodic variable and period. It can also be used in formulas passed to make_matrices.

Usage

cosinor(x = 1:24, period = 24, eval = TRUE)

Value

either a desing matrix with the evaluated cosinor terms (eval = TRUE) or a character vector with the terms as strings (eval = FALSE).

Arguments

x

vector of periodic variable values

period

vector of period length. For example for time of day period = 24, or period = c(24,12) for more flexibility.

eval

logical, should not be changed. If TRUE the function returns the evaluated cosinor terms, if FALSE the function returns the terms as strings which is used internally form formula evaluation.

Details

The returned basis can be used for linear predictors of the form $$ \eta^{(t)} = \beta_0 + \sum_{k} \bigl( \beta_{1k} \sin(\frac{2 \pi t}{period_k}) + \beta_{2k} \cos(\frac{2 \pi t}{period_k}) \bigr). $$ This is relevant for modeling e.g. diurnal variation and the flexibility can be increased by adding smaller frequencies (i.e. increasing the length of period).

Examples

## Evaluate cosinor terms
# builds design matrix
X = cosinor(1:24, period = 24)
X = cosinor(1:24, period = c(24, 12, 6))

## Usage in model formulas
# e.g. frequencies of 24 and 12 hours + interaction with temperature
form = ~ x + temp * cosinor(hour, c(24, 12)) 
data = data.frame(x = runif(24), temp = rnorm(24,20), hour = 1:24)
modmat = make_matrices(form, data = data)