ggcyto.flowSet: Create a new ggcyto plot from a flowSet

In ggcyto: Visualize Cytometry data with ggplot

Description

Create a new ggcyto plot from a flowSet

Usage

## S3 method for class 'flowSet'
ggcyto(data, mapping, filter = NULL,
  max_nrow_to_plot = 50000, ...)

## S3 method for class 'ncdfFlowList'
ggcyto(data, ...)

Arguments

data	default flowSet for plot
mapping	default list of aesthetic mappings (these can be colour, size, shape, line type – see individual geom functions for more details)
filter	a flowcore gate object or a function that takes flowSet and channels as input and returns a data-dependent flowcore gate The gate is used to filter the flow data before it is plotted.
max_nrow_to_plot	the maximum number of cells to be plotted. When the actual data exceeds it, The subsampling process will be triggered to speed up plotting. Default is 2e5.To turn off the subsampling, simply set it to a large enough number or Inf
...	ignored

Value

a ggcyto_GatingSet object which is a subclass of ggcyto class.

Examples

data(GvHD)
fs <- GvHD[subset(pData(GvHD), Patient %in%5:7 & Visit %in% c(5:6))[["name"]]]
# 1d histogram/densityplot
p <- ggcyto(fs, aes(x = `FSC-H`)) 
#facet_wrap(~name)` is used automatically
p1 <- p + geom_histogram() 
p1
#overwriting the default faceeting
p1 + facet_grid(Patient~Visit)

#display density
p + geom_density()

#you can use ggridges package to display stacked density plot
require(ggridges)
#stack by fcs file ('name')
p + geom_density_ridges(aes(y = name)) + facet_null() #facet_null is used to remove the default facet_wrap (by 'name' column)
#or to stack by Visit and facet by patient
p + geom_density_ridges(aes(y = Visit)) + facet_grid(~Patient)

# 2d scatter/dot plot
p <- ggcyto(fs, aes(x = `FSC-H`, y =  `SSC-H`))
p <- p + geom_hex(bins = 128)
p

ggcyto documentation built on Jan. 15, 2019, 6:01 p.m.