count_intervals: Count number of between-session intervals available to...

In suddengains: Identify Sudden Gains in Longitudinal Data

Count number of between-session intervals available to identify sudden gains

Description

Calculates the number of total between-session intervals present in the data set and the number of between-session intervals that are available to identify sudden gains talking into account the pattern of missing data.

Usage

count_intervals(data, id_var_name, sg_var_list, identify_sg_1to2 = FALSE)

Arguments

data	A data set in wide format including an ID variable and variables for each measurement point.
id_var_name	String, specifying the name of the ID variable. Each row should have a unique value.
sg_var_list	Vector, specifying the variable names of each measurement point sequentially.
identify_sg_1to2	Logical, indicating whether to identify sudden losses from measurement point 1 to 2. If set to TRUE, this implies that the first variable specified in sg_var_list represents a baseline measurement point, e.g. pre-intervention assessment.

Value

List with values for:

• total_between_sess_intervals: The total number of between-session intervals present in the data set, NAs are also included here. This multiplies the number of cases (rows) with the number of specified between-session intervals: nrows * (length(sg_var_list) - 1).

• total_between_sess_intervals_sg: The total number of between-session intervals where sudden gains can theoretically, NAs are also included here. This multiplies the number of cases (rows) with the number of between-session intervals where sudden gains can be identified using the 3 original criteria: nrows * (length(sg_var_list) - 3).

• available_between_sess_intervals_sg: The total number of between-session intervals that can be analysed for sudden gains taking into account the pattern of missing data.

• not_available_between_sess_intervals_sg: The total number of between-session intervals that can not be analysed for sudden gains due to the pattern of missing data.

Examples

# Count between session intervals in "sgdata"
count_intervals(data = sgdata,
                id_var_name = "id",
                sg_var_list = c("bdi_s1", "bdi_s2", "bdi_s3", "bdi_s4",
                                "bdi_s5", "bdi_s6", "bdi_s7", "bdi_s8",
                                "bdi_s9", "bdi_s10", "bdi_s11", "bdi_s12"))

suddengains documentation built on March 7, 2023, 8:08 p.m.