Visualize significant time interval
visualizeArea(
aggregate.df,
model.ss,
method,
start,
end,
text,
group.levels,
unit = "days",
ylabel = "Normalized Count",
col = c("blue", "firebrick"),
prefix = "Test"
)
Dataframe has the Count, Group, ID, Time
The fitted model
Fitting method (negative binomial or LOWESS)
Vector of the start points of the time intervals
Vector of the end points of the time intervals
Feature name
Level's name
time unit used in the Time vector (hours, days, weeks, months, etc.)
text to be shown on the y-axis of all generated figures (default: "Normalized Count")
two color to be used for the two groups (eg., c("red", "blue")).
prefix to be used to create directory for the analysis results
Ahmed Metwally (ametwall@stanford.edu)