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

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

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

A bool for showing regression slope on plot.

method

Method for nlme::lme fitting (ML or REML)

remove_rr_iiv

A boolean for removing 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 plot

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')