eda_quantiles_plot

Description

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

Usage

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

Arguments

Name	Description
`data`	a dataframe of QTc dataset
`xdata_col`	an unquoted column name of x data
`ydata_col`	an unquoted column name of y data
`trt_col`	an unquoted column name of treatment column to stratify the data by
`conf_int`	a fractional value to set confidence interval, default = 0.9
`error_bars`	a string for setting which errorbars are shown, CI, SE, SD
`style`	a named list of any argument that can be passed to style_plot

Returns

a plot

Examples

data <- preprocess(data)

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