bdapply_Function_hdf5: Apply function to different datasets inside a group

In BigDataStatMeth: Statistical Methods and Algorithms for Big Data

Apply function to different datasets inside a group

Description

Apply function to different datasets inside a group

Usage

bdapply_Function_hdf5(
  filename,
  group,
  datasets,
  outgroup,
  func,
  b_group = NULL,
  b_datasets = NULL,
  force = FALSE
)

Arguments

filename,	Character array, indicating the name of the file to create
group,	Character array, indicating the input group where the data set to be imputed is.
datasets,	Character array, indicating the input datasets to be used
outgroup,	Character, array, indicating group where the data set will be saved after imputation if 'outgroup' is NULL, output dataset is stored in the same input group.
func,	Character array, function to be applyed : QR to apply bdQR() function to datasets CrossProd to apply bdCrossprod() function to datasets tCrossProd to apply bdtCrossprod() function to datasets invChol to apply bdInvCholesky() function to datasets blockmult to apply matrix multiplication, in that case, we need the datasets to be used defined in b_datasets variable, datasets and b_datasets must be of the same lenght, in that case, the operation is performed according to index, for example, if we have datasets = "A1", "A2", "A3 and b_datasets = "B1", "B2", "B3, the functions performs : A1 CrossProd_double to performs crossprod using two matrices, see blockmult tCrossProd_double to performs transposed crossprod using two matrices, see blockmult solve to solve matrix equation system, see blockmult for parametrization
b_group,	optional Character array indicating the input group where data are stored when we need a second dataset to operate, for example in functions like matrix multiplication
b_datasets,	optional Character array indicating the input datasets to be used when we need a second dataset in functions like matrix multiplication
force,	optional Boolean if true, previous results in same location inside hdf5 will be overwritten, by default force = false, data was not overwritten..

Value

Original hdf5 data file with results after apply function to different datasets

BigDataStatMeth documentation built on March 30, 2022, 1:07 a.m.