# Statistical methods for the analysis of flow cytometry data

## Documentation for package ‘flowStats’ version 1.14.0

- DESCRIPTION file.
- Overview of user guides and package vignettes; browse directory.
- Package NEWS.

## Help Pages

flowStats-package | Statistical methods for flow cytometry data analysis
%in%-method | Automated gating of elliptical cell populations in 2D.
%in%-method | Find most likely separation between positive and negative populations in 1D
autoGate | Automated gating of single populations in 2D
BackGating | Sample backgating results
binByRef | Bin a test data set using bins previously created by probability binning a control dataset
calcPBChiSquare | Probability binning metirc for comparing the probability binned datasets
calcPearsonChi | Pearsons chi-square statistic for comparing the probability binned datasets
curvPeaks | Parse curv1Filter output
density1d | Find most likely separation between positive and negative populations in 1D
flowStats | Statistical methods for flow cytometry data analysis
gaussNorm | Per-channel normalization based on landmark registration
gpaSet | Multi-dimensional normalization of flow cytometry data
idFeatures | (Internal use only) Identify features of flow cytometry data using backgating
idFeaturesByBackgating | (Internal use only) Identify features of flow cytometry data using backgating
iProcrustes | Procrustes analysis. Using singular value decomposition (SVD) to determine a linear transformation to align the points in X to the points in a reference matrix Y.
ITN | Sample flow cytometry data
landmarkMatrix | Compute and cluster high density regions in 1D
lymphFilter | Automated gating of elliptical cell populations in 2D.
lymphFilter-class | Automated gating of elliptical cell populations in 2D.
lymphGate | Automated gating of elliptical cell populations in 2D.
normalizeGatingSet | normalize a GatingSet imported with flowWorkspace, using sequential normalization on the manual gates in the GatingHierarchy.
normQA | Normalization quality assessment
oneDGate | Find most likely separation between positive and negative populations in 1D
plotBins | Plots the probability bins overlaid with flowFrame data
proBin | Probability binning - a metric for evaluating multivariate differences
quadrantGate | Automated quad gating
rangeFilter | Find most likely separation between positive and negative populations in 1D
rangeFilter-class | Find most likely separation between positive and negative populations in 1D
rangeGate | Find most likely separation between positive and negative populations in 1D
warpSet | Normalization based on landmark registration
warpSetGS | Normalization based on landmark registration
warpSetNCDF | Normalization based on landmark registration
warpSetNCDFLowMem | Normalization based on landmark registration