Visualize the subject diagnosis — plot_subject

This function calls the CPASS function and provides a visualization of the diagnosis.

Usage

plot_subject_dx(
  data = data.frame(),
  color_summary = c("complementary", "rainbow")
)

Arguments

data: a cpass data frame (use as_cpass_data to convert your data into cpass data) that contains the symptoms reported by ONE subject.
color_summary: string. Either "complementary" (default) or "rainbow" specifying the type of color scheme for the ITEM items in the diagnosis summary. If "complementary", the colors are chosen complementary within a domain; if "rainbow", the DRSP items colors are different for each item and chosen from a rainbow palette.

Value

a ggplot object

Examples


library(magrittr)
library(dplyr)

data(PMDD_data)
input <-
  PMDD_data %>%
  dplyr::filter(subject == 2) %>%
  as_cpass_data(., sep_event = "menses")
#> Number of subjects:  1 
#> Total number of cycles:  2 
#> Percentage of missing scores:  13.1 %
#> Warning: The 'phase' column will be over-written
#> Percentage of missing scores
#>           (in pre- & post-menstrual phases):  13.1 %
plot_subject_dx(data = input)