card (version 0.1.0)

circ_compare_groups: Compare Repeated Measurements by Group

Description

Takes data and returns a summary table of continuous variable based on a categorical variable. This summary is repeat by time groups to help describe a circadian pattern.

Usage

circ_compare_groups(data, x, y, time)

Arguments

data

Dataframe containing all the following variables

x

Continuous variable of interest (x ~ y)

y

Grouping variable to apply to the cvar (x ~ y). Must be binary for t-test, otherwise will return data set without pvalues

time

Name of the time-dependent variable, usually hours

Value

Returns a dataframe that has the time variable, the categorical variable, and the statistics (including p-value) of the continuous variable

Details

Applies a simple data transformation to identify the summary statistics of the data frame by the stated variables. Results in a mean, standard deviation, and standard error term. This data is also used for making a t-test based table, which can then also be graphed in card::ggcircadian.

Examples

# NOT RUN {
data("twins")
circ_compare_groups(data = twins, x = "rDYX", y = "sad_cat", time = "hour")

# }