Plot summary of available data per time point and analysed session to session intervals

Usage

plot_sg_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

Plot showing percentage of available data per time point and percentage of session to session intervals that were analysed for sudden gains.

Examples

# Create plot
plot_sg_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"))