Description Usage Arguments Value Author(s) See Also Examples
Given two MSnSet
instances of one MSnSetList
with at
least two items, this function produces an animation that shows
the transition from the first data to the second.
1 | move2Ds(object, pcol, fcol = "markers", n = 25, hl)
|
object |
An |
pcol |
If |
fcol |
Feature meta-data label (fData column name) defining
the groups to be differentiated using different colours. Default
is |
n |
Number of frames, Default is 25. |
hl |
An optional instance of class
|
Used for its side effect of producing a short animation.
Laurent Gatto
plot2Ds
to a single figure with the two
datasets.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | library("pRolocdata")
data(dunkley2006)
## Create a relevant MSnSetList using the dunkley2006 data
xx <- split(dunkley2006, "replicate")
xx1 <- xx[[1]]
xx2 <- xx[[2]]
fData(xx1)$markers[374] <- "Golgi"
fData(xx2)$markers[412] <- "unknown"
xx@x[[1]] <- xx1
xx@x[[2]] <- xx2
## The features we want to track
foi <- FeaturesOfInterest(description = "test",
fnames = featureNames(xx[[1]])[c(374, 412)])
## (1) visualise each experiment separately
par(mfrow = c(2, 1))
plot2D(xx[[1]], main = "condition A")
highlightOnPlot(xx[[1]], foi)
plot2D(xx[[2]], mirrorY = TRUE, main = "condition B")
highlightOnPlot(xx[[2]], foi, args = list(mirrorY = TRUE))
## (2) plot both data on the same plot
par(mfrow = c(1, 1))
tmp <- plot2Ds(xx)
highlightOnPlot(data1(tmp), foi, lwd = 2)
highlightOnPlot(data2(tmp), foi, pch = 5, lwd = 2)
## (3) create an animation
move2Ds(xx, pcol = "replicate")
move2Ds(xx, pcol = "replicate", hl = foi)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.