View source: R/fitTimeSeries.R
plotClassTimeSeries | R Documentation |
Plot the abundance of values for each class using a spline approach on the estimated full model.
plotClassTimeSeries(
res,
formula,
xlab = "Time",
ylab = "Abundance",
color0 = "black",
color1 = "red",
include = c("1", "class", "time:class"),
...
)
res |
Output of fitTimeSeries function |
formula |
Formula for ssanova. Of the form: abundance ~ ... where ... includes any pData slot value. |
xlab |
X-label. |
ylab |
Y-label. |
color0 |
Color of samples from first group. |
color1 |
Color of samples from second group. |
include |
Parameters to include in prediction. |
... |
Extra plotting arguments. |
Plot for abundances of each class using a spline approach on estimated null model.
fitTimeSeries
data(mouseData)
res = fitTimeSeries(obj=mouseData,feature="Actinobacteria",
class="status",id="mouseID",time="relativeTime",lvl='class',B=10)
plotClassTimeSeries(res,pch=21,bg=res$data$class,ylim=c(0,8))
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