EDA Quantiles Plot — eda_quantiles

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,
  plot_observations = FALSE,
  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
plot_observations: Logical, whether to include raw individual data points as background (default: FALSE)
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 scatter plot of decile medians with linear regression and optional error bars

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"
 )
)