safetyGraphics (version 1.1.0)

chartRenderer: Create an interactive graphics widget

Description

This function creates an nice interactive widget. See the vignettes for more details regarding how to customize charts.

Usage

chartRenderer(data, debug_js = FALSE, settings = NULL, chart = NULL)

Arguments

data

A data frame containing the labs data. Data must be structured as one record per study participant per time point per lab measure.

debug_js

print settings in javascript before rendering chart. Default: FALSE.

settings

Optional list of settings arguments to be converted to JSON using jsonlite::toJSON(settings, auto_unbox = TRUE, dataframe = "rows", null = "null"). Default: NULL.

chart

name of the chart to render

Examples

# NOT RUN {
## Create Histogram figure using a premade settings list
details_list <- list(
  list(value_col = "TRTP", label = "Treatment"),
  list(value_col = "SEX", label = "Sex"),
  list(value_col = "AGEGR1", label = "Age group")
)


filters_list <- list(
  list(value_col = "TRTA", label = "Treatment"),
  list(value_col = "SEX", label = "Sex"),
  list(value_col = "RACE", label = "RACE"),
  list(value_col = "AGEGR1", label = "Age group")
)

settingsl <- list(id_col = "USUBJID",
      value_col = "AVAL",
      measure_col = "PARAM",
      unit_col = "PARAMCD",
      normal_col_low = "A1LO",
      normal_col_high = "A1HI",
      details = details_list,
      filters = filters_list)

chartRenderer(data=adlbc, settings = settingsl, chart=safetyhistogram)

# }
# NOT RUN {
# }