It takes care the speical format of some ggcyto layers. For example geom_gate or geom_stats layer with just gate(population) name specified,
It only supports some special axis transformations. (See examples below)
Usage
## S3 method for class 'ggcyto_GatingSet'
e1 + e2
## S4 method for signature 'ggcyto_GatingSet,ANY'
e1 + e2
Arguments
e1
An object of class ggcyto
e2
A component to add to e1
Value
ggcyto_GatingSet object
Examples
dataDir <- system.file("extdata",package="flowWorkspaceData")
gs <- load_gs(list.files(dataDir, pattern = "gs_manual",full = TRUE))
p <- ggcyto(gs, aes(x = CD4, y = CD8), subset = "CD3+") + geom_hex(bins = 64)
p <- p + geom_gate("CD4") + geom_stats() #plot CD4 gate and it is stats
p
p + axis_x_inverse_trans() #inverse transform the x axis into raw scale
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(ggcyto)
Loading required package: ggplot2
Loading required package: flowCore
Loading required package: ncdfFlow
Loading required package: flowViz
Loading required package: lattice
Loading required package: RcppArmadillo
Loading required package: BH
Loading required package: flowWorkspace
Loading required package: gridExtra
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/ggcyto/ggcyto_GatingSet_add.Rd_%03d_medium.png", width=480, height=480)
> ### Name: +.ggcyto_GatingSet
> ### Title: overloaded '+' method for ggcyto.gs
> ### Aliases: +,ggcyto_GatingSet,ANY-method +.ggcyto_GatingSet
>
> ### ** Examples
>
> dataDir <- system.file("extdata",package="flowWorkspaceData")
> gs <- load_gs(list.files(dataDir, pattern = "gs_manual",full = TRUE))
loading R object...
loading tree object...
Done
> p <- ggcyto(gs, aes(x = CD4, y = CD8), subset = "CD3+") + geom_hex(bins = 64)
> p <- p + geom_gate("CD4") + geom_stats() #plot CD4 gate and it is stats
> p
Warning message:
Removed 4 rows containing missing values (geom_hex).
> p + axis_x_inverse_trans() #inverse transform the x axis into raw scale
Warning message:
Removed 4 rows containing missing values (geom_hex).
>
>
>
>
>
> dev.off()
null device
1
>