plots the observed decile-decile scatter plot of x-data vs y-data with linear regression.

plots the observed decile-decile scatter plot of x-data vs y-data with linear regression.

eda_quantiles_plot(
  data,
  xdata_col,
  ydata_col,
  trt_col = NULL,
  conf_int = 0.9,
  error_bars = "CI",
  style = list()
)

Arguments

data

A data frame containing C-QT analysis dataset

xdata_col

An unquoted column name for x data

ydata_col

An unquoted column name for y data

trt_col

An unquoted column name for treatment column to stratify the data by

conf_int

Numeric confidence interval level (default: 0.9)

error_bars

A string for setting which errorbars are shown, CI, SE, SD

style

A named list of arguments passed to style_plot()

Value

a plot

Examples

data_proc <- preprocess(cqtkit_data_verapamil)

eda_quantiles_plot(
  data_proc,
  RR,
  QTCF,
  trt_col = TRTG,
 style = set_style(
  legend = "Treatment Group",
  ylims = c(300, 500),
  xlabel = "RR (ms)",
  ylabel = "QTcF (ms)",
  legend.position = "top"
 )
)