eda_qtc_comparison_plot

Description

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,
  xlabel = "RR (
  ms
)",
  legend = "",
  legend_location = c(
  "top",
  "bottom",
  "right",
  "left"
),
  model_type = c(
  "lm",
  "lme"
),
  show_model_results = TRUE,
  method = "REML",
  remove_rr_iiv = FALSE,
  conf_int = 0.9
)

Arguments

Name	Description
`data`	dataframe containing QTc data
`rr_col`	an unquoted column name of RR data
`qt_col`	an unquoted column name of QT data
`qtcb_col`	an unquoted column name of Bazett corrected QT data
`qtcf_col`	an unquoted column name of Fridericia corrected QT data
`qtcp_col`	Optional - an unquoted column name of Population corrected QT data
`id_col`	an unquoted column name of ID data
`trt_col`	Optional - an unquoted column name of treatment group data
`xlabel`	a string for xlabel
`legend`	a string for legend label
`legend_location`	string for legend location, 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
`remove_rr_iiv`	a boolean for removing IIV on RR slope
`conf_int`	confidence interval for lm results default 0.90

Returns

a plot

Examples

data <- preprocess(data)

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