Skip to contents

Butterfly Plot

Source: R/g_butterfly.R
g_butterfly.Rd

The butterfly plot is often used in Early Development (ED) and is an opposed barplot that shows instances of AEs or # of patients by category separated by a dichotomization variable. Each bar can be color coded according to a variable of choice and sorted according to either alphabetical order or the maximum count.

Usage

g_butterfly(
  category,
  right_flag,
  left_flag,
  id = NULL,
  group_names = NULL,
  block_count = c("# of patients", "# of AEs"),
  block_color = NULL,
  facet_rows = NULL,
  x_label = block_count,
  y_label = "AE Derived Terms",
  legend_label = "AETOXGR",
  sort_by = c("count", "alphabetical", "right", "left"),
  show_legend = TRUE
)

Arguments

category

vector of y values

right_flag

vector of logical of the same length as category. used to filter category for the right side of the barplot. to maintain backward compatibility, a vector of 1s and 0s would also work.

left_flag

vector of logical of the same length as category. used to filter category for the left side of the barplot. to maintain backward compatibility, a vector of 1s and 0s would also work.

id

unique subject identifier variable.

group_names

string vector of length 2 with desired names of dichotomization variables required format : first name corresponds to the name of the right side second name corresponds to name of the left side default: will extract column names from group

block_count

string - what to count by (ex: # of AEs or # of patients)

block_color

vector - color coding of bar segments

facet_rows

vector defines what variable is used to split the plot into rows, default here is NULL

x_label

string of text for x axis label, default is block_count

y_label

string of text for y axis label, default is AE Derived Terms

legend_label

character for legend label, default is AETOXGR

sort_by

character string that defines the ordering of the class and term variables in the output table, options: "alphabetical", "count", "left", "right", default here is set to "count"

show_legend

boolean of whether color coding legend is included, default here is FALSE

Value

ggplot object

Details

there is no equivalent STREAM output

Author

Carolyn Zhang (zhanc107) carolyn.zhang@duke.edu

Ting Qi (qit3) qit3@gene.com

Examples

library(dplyr)

ADSL <- rADSL %>%
  select(USUBJID, STUDYID, SEX, ARM, RACE) %>%
  dplyr::filter(SEX %in% c("F", "M"))
AAE <- rADAE %>% select(USUBJID, STUDYID, AEBODSYS, AETOXGR)

ANL <- left_join(AAE, ADSL, by = c("STUDYID", "USUBJID"))
ANL <- ANL %>%
  dplyr::mutate(flag1 = ifelse(RACE == "ASIAN", 1, 0)) %>%
  dplyr::mutate(flag2 = ifelse(SEX == "M", 1, 0))
ANL <- na.omit(ANL)
ANL <- ANL %>% dplyr::filter(AEBODSYS %in% c(
  "Investigations", "Vascular disorders",
  "Musculoskeletal and connective tissue disorders"
))

# Example 1, # of AEs
g_butterfly(
  category = ANL$AEBODSYS,
  right_flag = ANL$flag1,
  left_flag = ANL$flag2,
  group_names = c("flag1 Asian", "flag2 M"),
  block_count = "# of AEs",
  block_color = ANL$AETOXGR,
  id = ANL$USUBJID,
  x_label = "# of AEs",
  y_label = "AE Body System",
  legend_label = "AETOXGR",
  sort_by = "count",
  show_legend = TRUE
)

# Example 2, # of patients with facet
g_butterfly(
  category = ANL$AEBODSYS,
  right_flag = ANL$flag1,
  left_flag = ANL$flag2,
  group_names = c("flag1 Asian", "flag2 M"),
  block_count = "# of patients",
  block_color = ANL$AETOXGR,
  facet_rows = ANL$ARM,
  id = ANL$USUBJID,
  x_label = "# of patients",
  y_label = "AE Derived Terms",
  legend_label = "AETOXGR",
  sort_by = "count",
  show_legend = TRUE
)