summarizePlate: Condense all objects examined to appropriate well

In AndersenLab/COPASutils: Tools for processing COPAS large-particle flow cytometer data

Description

Returns a data frame with one row per well with summary statistics.

Usage

summarizePlate(plate, strains = NULL, quantiles = FALSE, log = FALSE,
  ends = FALSE)

Arguments

plate	plate to summarize, must be run through readSorterData, not readSorter
strains	a vector of all strain (sample) names input row-wise to add to the data frame
quantiles	if TRUE, columns of trait quantiles (every fifth) will be added to the output dataframe, defaults to FALSE
log	if TRUE, columns of log transformed EXT and red fluorescence will be added to output dataframe, defaults to FALSE
ends	if TRUE, columns of min and max values for all traits will be added to output dataframe, defaults to FALSE

Examples

# exampleStrains <- rep(c("N2", NA), times=48)
# plate1 <- summarizePlate(plateData1, quantiles=TRUE, log=TRUE, ends=TRUE)
# plate2 <- summarizePlate(plateData2, strains=exampleStrains)

AndersenLab/COPASutils documentation built on May 5, 2019, 4:57 a.m.