cytof_clusterStat: Statistics of the cluster results

In cytofkit: cytofkit: an integrated mass cytometry data analysis pipeline

Description

Calculate the mean or median expression level of each marker for each cluster, or percentage of cell numbers of each cluster for each sample.

Usage

cytof_clusterStat(data, markers, cluster = "cluster", sample,
  statMethod = c("mean", "median", "percentage", "NULL"))

Arguments

data	Input data frame.
markers	The names of markers used for calcualtion.
cluster	The column name contatining cluster labels.
sample	The samples used for calculation.
statMethod	Statistics containing mean, median or percentage.

Value

A matrix of the statistics results

Examples

m1 <- c(rnorm(300, 10, 2), rnorm(400, 4, 2), rnorm(300, 7))
m2 <- c(rnorm(300, 4), rnorm(400, 16), rnorm(300, 10, 3))
m3 <- c(rnorm(300, 16), rnorm(400, 40, 3), rnorm(300, 10))
m4 <- c(rnorm(300, 7, 3), rnorm(400, 30, 2), rnorm(300, 10))
m5 <- c(rnorm(300, 27), rnorm(400, 40, 1),rnorm(300, 10))
c <- c(rep(1,300), rep(2,400), rep(3,300))
rnames <- paste(paste('sample_', c('A','B','C','D'), sep = ''), 
rep(1:250,each = 4), sep='_') 
exprs_cluster <- data.frame(cluster = c, m1 = m1, m2 = m2, m3 = m3, m4 = m4, m5 = m5)
row.names(exprs_cluster) <- rnames
cytof_clusterStat(data = exprs_cluster, cluster = "cluster", statMethod = "mean")

cytofkit documentation built on Nov. 1, 2018, 3:50 a.m.