Function reference • bigstatsr

Filebacked Big Matrices Constructors and methods for class FBM.
`FBM()` `as_FBM()`	Class FBM
`[`(<FBM>,<ANY>,<ANY>,<ANY>) `[<-`(<FBM>,<ANY>,<ANY>,<ANY>) `dim(<FBM>)` `length(<FBM>)` `typeof(<FBM>)` `diag(<FBM>)`	Methods for the FBM class
`FBM.code256()` `add_code256()`	Class FBM.code256
`big_attach()` `big_attachExtdata()`	Attach a Filebacked Big Matrix
`big_copy()`	Copy as a Filebacked Big Matrix
Statistical models Column-wise and sparse multivariate linear and logistic models.
`big_univLinReg()`	Column-wise linear regression
`big_univLogReg()`	Column-wise logistic regression
`big_spLinReg()`	Sparse linear regression
`big_spLogReg()`	Sparse logistic regression
`AUC()` `AUCBoot()`	AUC
`pcor()`	Partial correlation
SVD (and PCA)
`big_SVD()`	Partial SVD
`big_randomSVD()`	Randomized partial SVD
Matrix operations
`big_cor()`	Correlation
`big_crossprodSelf()` `crossprod(<FBM>,<missing>)`	Crossprod
`big_tcrossprodSelf()` `tcrossprod(<FBM>,<missing>)`	Tcrossprod
`big_prodVec()`	Product with a vector
`big_prodMat()` `%%`(<FBM>,<matrix>) `%%`(<matrix>,<FBM>)	Product with a matrix
`big_cprodVec()`	Cross-product with a vector
`big_cprodMat()` `crossprod(<FBM>,<matrix>)` `tcrossprod(<FBM>,<matrix>)` `crossprod(<matrix>,<FBM>)` `tcrossprod(<matrix>,<FBM>)`	Cross-product with a matrix
Plot and predict methods
`theme_bigstatsr()`	Theme ggplot2
`plot(<mhtest>)`	Plot method
`predict(<mhtest>)`	Predict method
`predict(<big_sp>)`	Predict method
`predict(<big_sp_list>)`	Predict method
`summary(<big_sp_list>)`	Summary method
`plot(<big_sp_list>)`	Plot method
`plot(<big_SVD>)`	Plot method
`predict(<big_SVD>)`	Scores of PCA
`asPlotlyText()`	Plotly text
`pasteLoc()`	Get coordinates on plot
Utilities
`big_colstats()`	Standard univariate statistics
`big_scale()`	Some scaling functions
`big_counts()`	Counts for class FBM.code256
`big_read()`	Read a file as FBM
`big_write()`	Write an FBM to a file
`big_transpose()`	Transpose an FBM
`big_increment()`	Increment an FBM
`big_parallelize()`	Split-parApply-Combine
`big_apply()`	Split-Apply-Combine
`block_size()`	Determine a correct value for the block.size parameter
`reexports` `nb_cores` `plus` `plot_grid` `rows_along` `cols_along`	Objects exported from other packages
`without_downcast_warning()`	Temporarily disable downcast warning
`sub_bk()`	Replace extension '.bk'
`covar_from_df()`	Numeric matrix from data frame
`as_scaling_fun()`	Scaling function creator
`get_beta()`	Combine sets of coefficients

Reference

Filebacked Big Matrices

Statistical models

SVD (and PCA)

Matrix operations

Plot and predict methods

Utilities