ggcircadian {card} | R Documentation |
Circadian Plot by Group
Description
Converts the output of card::circ_compare_groups into a complex geom that is broken down by time/hour and HRV (or any other continuous variable). Each hour is then separated by the grouping variable.
Usage
ggcircadian(
data,
outcome,
time = "hour",
mean = "mean",
n = "n",
sd = "sd",
se = "se",
pval = "pval"
)
Arguments
data |
Table generated which has time variable, categorical outcome variable, and summary statistics, including a possible column called "pval" which, if present, will document statistical significance in plot. |
outcome |
Name of categorical variable to stratify the y-axis |
time |
Name of time group variable, such as hours of day, which ends up being the x-axis |
mean , n , sd , se , pval |
Summary statistics to be included in graphics. |
Details
Currently creates a ggplot that shows a error bar and point estimate of values by group (e.g. clinical status). If t-test values are available in the data frame, shows points of significance.
Value
Returns a ggplot object of geom type, other layers can be added on as seen in example.
Examples
# Data
data(twins)
tbl <- circ_compare_groups(twins, "rDYX", "sad_cat", "hour")
# Plot
library(ggplot2)
ggcircadian(tbl, outcome = "sad_cat") +
labs(title = "Example") +
scale_color_viridis_d(option = "A", begin = 0.0, end = 0.75)