eda_scatter_with_regressions

Description

plots scatter plot with 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,
  xlabel = "Concentration (
  ng/mL
)",
  ylabel = bquote(
  Delta ~ "QTc (
  ms
)"
),
  title = "",
  logx = FALSE,
  legend = ""
)

Arguments

Name	Description
data	a dataframe of QT dataset
ydata_col	an unquoted column name of dependent variable measurements
xdata_col	an unquoted column name of independent variable measurements
trt_col	Optional - an unquoted column name of treatment group
reference_threshold	optional vector of numbers to add as horizontal dashed lines
loess_line	a bool to add LOESS regression line
linear_line	a bool to add a linear regression line
span	a fractional value for LOESS span parameter in geom_smooth if LOESS is used, default 0.99
conf_int	a fractional numeric for setting confidence interval, default = 9
xlabel	a string for xlabel
ylabel	a string for xlabel
title	a string to give plot a title
logx	a bool to log transform the x axis
legend	a string for legend label

Returns

a plot

Examples

data <- preprocess(data)

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