Plot the abundance of new and old RNA and the fitted model over time for a single gene.
Usage
PlotGeneProgressiveTimecourse(
data,
gene,
slot = DefaultSlot(data),
time = Design$dur.4sU,
type = c("nlls", "ntr", "lm"),
exact.tics = TRUE,
show.CI = FALSE,
return.tables = FALSE,
...
)Arguments
- data
a grandR object
- gene
the gene to be plotted
- slot
the data slot of the observed abundances
- time
the labeling duration column in the column annotation table
- type
how to fit the model (see linkFitKinetics)
- exact.tics
use axis labels directly corresponding to the available labeling durations?
- show.CI
show confidence intervals; one of TRUE/FALSE (default: FALSE)
- return.tables
also return the tables used for plotting
- ...
given to the fitting procedures
Value
either a ggplot object, or a list containing all tables used for plotting and the ggplot object.
Details
For each Condition there will be one panel containing the values and the corresponding model fit.