plot_confidence_intervals: Plot confidence intervals

In audiracmichelle/fitibble: Process and Explore Fitbit Data from Fitabase

Plot confidence intervals

Description

Plot confidence intervals

Usage

plot_confidence_intervals(
  daily_summary,
  mu_varname = "mu_HR",
  sd_varname = "sd_HR",
  type = c("continuous", "categorical"),
  critical_value = qnorm(p = 0.05/2, lower.tail = FALSE)
)

Arguments

daily_summary	a tibble, ideally the output of prep_daily_summary().
mu_varname	a character entry indicating the column name that contains the sample means.
sd_varname	a character entry indicating the column name that contains the sample standard deviations.
type	the variable type, it can be "continuous" or "categorical"
critical_value	the default value is a z-critical value with 95% confidence (assuming a normal distribution of the sample mean).

Value

A plot containing the confidence intervals of a PA descriptor in daily_summary. Each point range in the plot corresponds to a participant in a cohort.

audiracmichelle/fitibble documentation built on Feb. 2, 2023, 3:51 p.m.