load_data: load_data

In glucodensities/biosensors.usc: Distributional Data Analysis Techniques for Biosensor Data

load_data

Description

R function to read biosensors data from a csv files.

Usage

load_data(filename_fdata, filename_variables = NULL)

Arguments

filename_fdata	A csv file with the functional data. The csv file must have long format with, at least, the following three columns: id, time, and value, where the id identifies the individual, the time indicates the moment in which the data was captured, and the value is a monitor measure.
filename_variables	A csv file with the clinical variables. The csv file contains a row per individual and must have a column id identifying this individual.

Value

A biosensor object: data A data frame with biosensor raw data. densities A functional data object (fdata) with a non-parametric density estimation. quantiles A functional data object (fdata) with the empirical quantile estimation. variables A data frame with the covariates.

Examples

# Data extracted from the paper: Hall, H., Perelman, D., Breschi, A., Limcaoco, P., Kellogg, R.,
# McLaughlin, T., Snyder, M., Glucotypes reveal new patterns of glucose dysregulation, PLoS
# biology 16(7), 2018.
file1 = system.file("extdata", "data_1.csv", package = "biosensors.usc")
file2 = system.file("extdata", "variables_1.csv", package = "biosensors.usc")
data = load_data(file1, file2)
names(data)
head(data$quantiles)
head(data$variables)
plot(data$quantiles, main="Quantile curves")

glucodensities/biosensors.usc documentation built on May 12, 2022, 1:57 a.m.