EDA Scatter With Regressions — eda_scatter_with

Plots scatter plot with linear and loess regressions. Can be used to check for linearity.

Usage

eda_scatter_with_regressions(
  data,
  ydata_col,
  xdata_col,
  trt_col = NULL,
  reference_threshold = NULL,
  loess_line = TRUE,
  linear_line = TRUE,
  span = 0.99,
  conf_int = 0.9,
  style = list()
)

Arguments

data: A data frame containing C-QT analysis dataset
ydata_col: An unquoted column name for dependent variable measurements
xdata_col: An unquoted column name for independent variable measurements
trt_col: An unquoted column name for treatment group
reference_threshold: Optional vector of numbers to add as horizontal dashed lines
loess_line: Logical, whether to add LOESS regression line
linear_line: Logical, whether to add linear regression line
span: A fractional value for LOESS span parameter in geom_smooth if LOESS is used, default 0.99
conf_int: Numeric confidence interval level (default: 0.9)
style: A named list of arguments passed to style_plot(). Shapes are mapped to treatment groups and can be controlled via the shapes parameter in style

Value

A scatter plot with linear and/or LOESS regression lines for assessing linearity

Examples

data_proc <- preprocess(cqtkit_data_verapamil)

eda_scatter_with_regressions(
  data_proc,
  deltaQTCF,
  CONC,
  TRTG,
  reference_threshold = 10)