plots delta Cq values as box-plots

delta.Cq data frame has to be created before

plot.delta.Cq.box(
  points = TRUE,
  useModel = FALSE,
  predictionRange = seq(-8, 8, 2),
  reTransform = FALSE,
  pVal = FALSE,
  comparisons = list(c(1, 2))
)

Arguments

points

Show individual datapoints? std TRUE

useModel

Use the regression model for predicition.

predictionRange

this vector will be used for the prediction. corresponds to the deltaCq y axis!

reTransform

If the linear transformation (linSqrtTransform) was used set to TRUE

pVal

Plots the P value from stat_compare_means (ggpubr) to the plot

comparisons

a list of 2 item vectors to define which P values are presented.

Value

returns a ggplot object.

Details

It is possible to use the regression model to display a prediction axis. It is also possible to plot the P Values for a t.test of the boxplots.

All these extra plot options can be manually done after returning the ggplot object for more customisation!