eda_quantiles_plot

Description

plots the observed decile-decile scatter plot of XDATA vs YDATA with linear regression.

Usage

eda_quantiles_plot(
  data,
  xdata_col,
  ydata_col,
  trt_col = NULL,
  conf_int = 0.9,
  error_bars = "CI",
  ylims = NULL,
  xlabel = NULL,
  ylabel = NULL,
  legend = NULL
)

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
ylims	optional - vector of lower and upper y limits
xlabel	string for xlabel on plot
ylabel	string for ylabel on plot
legend	string for legend label if treatment_col is supplied.

Returns

a plot

Examples

data <- preprocess(data)

 eda_quantiles_plot(
   data,
   RR,
   QTCF,
   ylims = c(300, 500),
   xlabel = "RR (ms)",
   ylabel = "QTcF (ms)",
   trt_col = TRTG,
  legend = "Treatment Group",
 ) +
   ggplot2::theme(legend.position = "top")