cosinor {card}

Fit a cosinor

Description

cosinor() fits a regression model of a time variable to a continuous outcome use trigonometric features. This approaches uses the linearization of the parameters to assess their statistics and distribution.

Usage

cosinor(t, ...)

## Default S3 method:
cosinor(t, ...)

## S3 method for class 'data.frame'
cosinor(t, y, tau, population = NULL, ...)

## S3 method for class 'matrix'
cosinor(t, y, tau, population = NULL, ...)

## S3 method for class 'formula'
cosinor(formula, data, tau, population = NULL, ...)

## S3 method for class 'recipe'
cosinor(t, data, tau, population = NULL, ...)

Arguments

t

Represents the ordered time indices that provide the positions for the cosine wave. Depending on the context:

• A data frame of a time-based predictor/index.

• A matrix of time-based predictor/index.

• A recipe specifying a set of preprocessing steps created from recipes::recipe().

...

Not currently used, but required for extensibility.

y

When t is a data frame or matrix, y is the outcome specified as:

• A data frame with 1 numeric column.

• A matrix with 1 numeric column.

• A numeric vector.

tau

A vector that determines the periodicity of the time index. The number of elements in the vector determine the number of components (e.g. single versus multiple cosinor).

• A vector with a single element = single-component cosinor, e.g. period = c(24)

• A vector with multiple elements = multiple-component cosinor, e.g. period = c(24, 12)

population

Represents the population to be analyzed with a population-mean cosinor. Defaults to NULL, assuming individual cosinors are being generated. When a recipe or formula is used, population is specified as:

• A character name of the column contained in data that contains identifiers for each subject. Every row will have a subject name which should be duplicated for each time index given.

When a data frame or matrix is used, population is specified as:

• A vector of the same length as t, with values representing each subject at the correct indices.

formula

A formula specifying the outcome terms on the left-hand side, and the predictor terms on the right-hand side.

data

When a recipe or formula is used, data is specified as:

• A data frame containing both the predictors and the outcome.

Value

A cosinor object.

See Also

Other cosinor: augment.cosinor(), ggcosinor()

Examples

# Data setup
data("twins")

# Formula interface
model <- cosinor(rDYX ~ hour, twins, tau = 24)