EDA QTc Comparison Plot — eda_qtc_comparison

Plots different corrections of QT against RR to compare which to use.

Usage

eda_qtc_comparison_plot(
  data,
  rr_col,
  qt_col,
  qtcb_col,
  qtcf_col,
  qtcp_col = NULL,
  id_col = NULL,
  trt_col = NULL,
  legend_location = "top",
  model_type = c("lm", "lme"),
  show_model_results = TRUE,
  method = "REML",
  remove_rr_iiv = FALSE,
  conf_int = 0.9,
  style = list()
)

Arguments

data: A data frame containing C-QT analysis dataset
rr_col: An unquoted column name for RR measurements
qt_col: An unquoted column name for QT measurements
qtcb_col: An unquoted column name for Bazett corrected QT data
qtcf_col: An unquoted column name for Fridericia corrected QT data
qtcp_col: An unquoted column name for QTc measurements
id_col: An unquoted column name for subject ID
trt_col: An unquoted column name for treatment group data
legend_location: String for legend position (top, bottom, left, right)
model_type: Lm or lme, which model to fit for showing on plot
show_model_results: Logical, whether to show regression slope on plot
method: Method for nlme::lme fitting (ML or REML)
remove_rr_iiv: Logical, whether to remove IIV on RR slope
conf_int: Numeric confidence interval level (default: 0.9)
style: A named list of arguments passed to style_plot()

Value

A multi-panel plot comparing QT, QTcB, QTcF, and QTcP corrections against RR

Examples

data_proc <- preprocess(cqtkit_data_verapamil)

eda_qtc_comparison_plot(
  data_proc,
  RR,
  QT,
  QTCB,
  QTCF,
  id_col = ID,
  trt_col = TRTG,
  model_type = "lme",
  show_model_results = TRUE,
  remove_rr_iiv = TRUE,
  legend_location = 'top')