replace_data | R Documentation |
It essentially reconstructs the entire ggcyto plot object based on the new data and the original mapping and layers recorded in the plot object.
e1 %+% e2
e1 |
the ggcyto object |
e2 |
the new cytometry data . It can be 'GatingSet' or 'flowSet'. |
the new ggcyto object
dataDir <- system.file("extdata",package="flowWorkspaceData")
gs <- load_gs(list.files(dataDir, pattern = "gs_bcell_auto",full = TRUE))
gs1 <- gs[1]
gs2 <- gs[2]
#construct the ggcyto object for gs1
p <- ggcyto(gs1, aes(cd24, cd38)) + geom_hex(bins = 128)
p <- p + geom_gate("Transitional") #add gate
#customize the stats layer
p <- p + geom_stats(type = "count", size = 6, color = "white", fill = "black", adjust = 0.3)
#customize the layer
p <- p + labs_cyto("channel")
#customize the axis limits
p <- p + ggcyto_par_set(limits = "instrument")
#add another population as the overlay dots
p <- p + geom_overlay("IgD-CD27-", col = "black", size = 1.2, alpha = 0.4)
p
#replace the data with gs2 and see the same visual effect
p %+% gs2
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