chf_df: Congestive heart failure accelerometry data

In tidyfun: Tidy Functional Data Wrangling and Visualization

Congestive heart failure accelerometry data

Description

Activity data from a study of congestive heart failure (CHF) patients. Data were originally presented in Huang et al. (2019); these data are publicly available, with download information in the paper.

Usage

chf_df

Format

A tibble with 329 rows and 8 columns:

id

(numeric) Subject identifier.

gender

(character) "Male" or "Female".

age

(numeric) Age in years.

bmi

(numeric) Body mass index.

event_week

(numeric) Week of cardiac event.

event_type

(character) Type of cardiac event.

day

(ordered factor) Day of the week (Mon < Tue < ... < Sun).

activity

(tfd_reg) Minute-by-minute activity counts over a 24-hour period (arg domain 1–1440).

Source

Data are from a study of physical activity in CHF patients conducted by Huang et al. The original data are publicly available; see the paper for download details.

References

Huang, L., Bai, J., Ivanescu, A., Harris, T., Maurer, M., Green, P., and Zipunnikov, V. (2019). Multilevel Matrix-Variate Analysis and its Application to Accelerometry-Measured Physical Activity in Clinical Populations. Journal of the American Statistical Association, 114(526), 553–564. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/01621459.2018.1482750")}

See Also

dti_df for another example dataset, vignette("x04_Visualization", package = "tidyfun") for usage examples.

Other tidyfun datasets: dti_df

Examples

chf_df

library(ggplot2)
chf_df |>
  dplyr::filter(id %in% 1:5) |>
  gglasagna(activity, order_by = mean)

tidyfun documentation built on April 24, 2026, 5:06 p.m.