nicheMeans2D {pRoloc} | R Documentation |
Produces a pca plot with uncertainty in organelle means projected onto the PCA plot with contours.
nicheMeans2D(object, params, priors, dims = c(1, 2), fcol = "markers", aspect = 0.5)
object |
A valid object of class |
params |
A valid object of class |
priors |
The prior that were used in the model |
dims |
The PCA dimension in which to project he data, default is
|
fcol |
The columns of the feature data which contain the marker data. |
aspect |
A argument to change the plotting aspect of the PCA |
Used for side effect of producing plot. Invisibily returns an ggplot object that can be further manipulated
Oliver M. Crook <omc25@cam.ac.uk>
## Not run: library("pRolocdata") data("tan2009r1") tanres <- tagmMcmcTrain(object = tan2009r1) tanres <- tagmMcmcProcess(tanres) tan2009r1 <- tagmMcmcPredict(object = tan2009r1, params = tanres, probJoint = TRUE) myparams <- chains(e14Tagm_converged_pooled)[[1]] myparams2 <- chains(mcmc_pool_chains(tanres))[[1]] priors <- tanres@priors pRoloc:::nicheMeans2D(object = tan2009r1, params = myparams2, priors = priors) ## End(Not run)