Is transformed using a channel–specific function from the list. GetTransformations returns a list of functions to beĪpplied to different dimensions of the data.Ībove, the transformation is applied to this sample, the appropriate dimension # stop("'deriv' must be between 0 and 3") If we have metadata associated with the experiment, it can be attached to the GatingSet. More details about gate visualization can be found here. Second argument is the node path of any depths as long as it is uniquely identifieable. We can plot individual gates: note the scale of the transformed axes. # name Population Parent Count ParentCount
We can retrieve the population statistics : getPopStats(gs) # Polygonal gate 'APC' with 14 vertices in dimensions and We only need to know the path to, and filename of the flowJo workspace. We represent flowJo workspaces using flowJoWorkspace objects. The following section walks through opening and importing a flowJo workspace. You will have to save them in XML workspace format. The GatingSet can be built from scratch within R or imported from flowJo XML workspaces (i.e.xml or. By this we mean, accessing the samples, groups, transformations, compensation matrices, gates, and population statistics in the gating tree, which is represented as GatingSet object in R.
The purpose of this package is to provide the infrastructure to store, represent and exchange the gated flow data.
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