rnb.combine.arrays: Combine array-based datasets
In RnBeads: RnBeads

Concatenates two array-based datasets focusing on the common probes.

1	rnb.combine.arrays(dataset1, dataset2, type = "common")

`dataset1`	First input dataset as an object of type inheriting `RnBeadSet`.
`dataset2`	Second input dataset as an object of type inheriting `RnBeadSet`.
`type`	Type of the combine operation as a character singleton, one of "common", "all.x", "all.y" and "all".

Sample annotation tables: This method expects that the sample annotation tables of the two datasets have identical structures.
Genome assembly: This method expects that the two datasets target the same genome assembly.
Platform: The platform of the combined dataset is the most recent among the platforms of the input datasets.
Intensity values: The combined dataset is of type RnBeadRawSet only when both input datasets are of this type. Otherwise, any intensity value data is ignored.
Probes: Only the common probes are included in the resulting dataset.
Regions: Regions summarized in any of the input datasets are ignored. In the resulting dataset, regions are summarized as specified in the analysis option "region.types".
Quality control data: QC data in the input datasets is ignored. The combined dataset includes no data on QC probe intensities.
Infered covariates: Inferred covariates in the input datasets are ignored. The combined dataset includes no data on inferred covariates.
Disk dumping: The combined dataset stores big tables on disk when the analysis option "disk.dump.big.matrices" is enabled.