Description Usage Arguments Details Value Examples
View source: R/compute_stats.R
It calls the underlining stats routine and merge it with the label position calculated by stat_position as well as the pData of flowSet.
1 | compute_stats(fs = NULL, gates, type = "percent", value = NULL, ...)
|
fs |
flowSet. can be NULL when precaculated 'value' is provided |
gates |
a list of filters |
type |
a vector of strings to specify the stats types. can be any or multiple values of "percent", "count", "gate_name", or "MFI" (MFI is currently not supported yet). |
value |
the pre-calculated stats value. when supplied, the stats computing is skipped. |
... |
other arguments passed to stat_position function |
This function is usually not called directly by user but used by ggcyto when geom_stat layer is added.
a data.table that contains percent and centroid locations as well as pData that used as data for geom_btext layer.
1 2 3 4 5 6 | data(GvHD)
fs <- GvHD[1:4]
rect.g <- rectangleGate(list("FSC-H" = c(300,500), "SSC-H" = c(50,200)), filterId = "P1")
rect.gates <- sapply(sampleNames(fs), function(sn)rect.g)
compute_stats(fs, rect.gates)
compute_stats(fs, rect.gates, type = c("gate_name", "percent"))
|
Loading required package: ggplot2
Loading required package: flowCore
Loading required package: ncdfFlow
Loading required package: RcppArmadillo
Loading required package: BH
Loading required package: flowWorkspace
As part of improvements to flowWorkspace, some behavior of
GatingSet objects has changed. For details, please read the section
titled "The cytoframe and cytoset classes" in the package vignette:
vignette("flowWorkspace-Introduction", "flowWorkspace")
.rownames FSC-H SSC-H value Patient Visit Days Grade name
1: s5a01 400 125 17.5% 5 1 -6 3 s5a01
2: s5a02 400 125 16.0% 5 2 0 3 s5a02
3: s5a03 400 125 33.2% 5 3 6 3 s5a03
4: s5a04 400 125 37.1% 5 4 12 3 s5a04
.rownames FSC-H SSC-H value Patient Visit Days Grade name
1: s5a01 400 125 P1\n17.5% 5 1 -6 3 s5a01
2: s5a02 400 125 P1\n16.0% 5 2 0 3 s5a02
3: s5a03 400 125 P1\n33.2% 5 3 6 3 s5a03
4: s5a04 400 125 P1\n37.1% 5 4 12 3 s5a04
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