# Correspondence Analysis for Single Cell Data

## Documentation for package ‘corral’ version 1.22.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

add_embeddings2scelist | Add embeddings to list of SCEs
all_are | all_are
biplot_corral | Generate biplot for corral object
compsvd | compsvd: Compute Singular Value Decomposition (SVD)
corral | corral: Correspondence analysis on a single matrix
corralm | Multi-table correspondence analysis (list of matrices)
corralm_matlist | Multi-table correspondence analysis (list of matrices)
corralm_sce | Multi-table correspondence analysis (list of matrices)
corral_mat | corral: Correspondence analysis on a single matrix
corral_preproc | Preprocess a matrix for SVD to perform Correspondence Analysis (CA)
corral_sce | corral: Correspondence analysis on a single matrix
earthmover_dist | Earthmover distance (and general Wasserstein distance)
get_pct_var_exp_svd | Compute percent of variance explained
get_weights | Get weights
list2mat | List to Matrix
na2zero | Set na to 0
pairwise_rv | Pairwise rv coefficient
plot_embedding | Plot selected PCs from an embedding
plot_embedding_sce | Plot selected PCs from an embedding saved in a SingleCellExperiment object
print.corral | corral: Correspondence analysis on a single matrix
print.corralm | Multi-table correspondence analysis (list of matrices)
rv | rv coefficient
scal_var | Generate a scaled variance plot for an integrative embedding
scal_var_mat | Generate a matrix of the scaled variance values
sce2matlist | SingleCellExperiment to list of matrices
trim_matdist | Trim extreme values in a pre-processed matrix
var_stabilize | Apply a variance stabilizing transformation