| arrange | R Documentation | 
Wrapper to GMQL ORDER operator
It is used to order either samples or sample regions or both, according to a set of metadata and/or region attributes. Order can be specified as ascending / descending for every attribute. The number of samples and their regions remain the same (unless fetching options are specified), as well as their attributes, but a new ordering metadata and/or region attribute is added. Sorted samples or regions have a new attribute "_order", added to their metadata, or "order" added to their regions, or to both of them as specified in input.
## S4 method for signature 'GMQLDataset'
arrange(
  .data,
  metadata_ordering = NULL,
  regions_ordering = NULL,
  fetch_opt = "",
  num_fetch = 0L,
  reg_fetch_opt = "",
  reg_num_fetch = 0L,
  .by_group = NULL
)
| .data | GMQLDataset class object | 
| metadata_ordering | list of ordering functions containing name of 
metadata attribute.
The functions available are:  | 
| regions_ordering | list of ordering functions containing name of 
region attribute.
The functions available are:  | 
| fetch_opt | string indicating the option used to fetch the first k samples; it can assume the values: 
 if NULL, num_fetch is not considered | 
| num_fetch | integer value identifying the number of samples to fetch; by default it is 0, that means all samples are fetched | 
| reg_fetch_opt | string indicating the option used to fetch the first k regions; it can assume the values: 
 if NULL, reg_num_fetch is not considered | 
| reg_num_fetch | integer value identifying the number of regions to fetch; by default it is 0, that means all regions are fetched | 
| .by_group | parameters inherited, unused with GMQLDateset data object | 
GMQLDataset object. It contains the value to use as input for the subsequent GMQLDataset method
## This statement initializes and runs the GMQL server for local execution 
## and creation of results on disk. Then, with system.file() it defines 
## the path to the folder "DATASET" in the subdirectory "example"
## of the package "RGMQL" and opens such file as a GMQL dataset named 
## "data" using CustomParser
init_gmql()
test_path <- system.file("example", "DATASET", package = "RGMQL")
data = read_gmql(test_path)
## The following statement orders the samples according to the Region_Count 
## metadata attribute and takes the two samples that have the highest count. 
o = arrange(data, list(ASC("Region_Count")), fetch_opt = "mtop", 
    num_fetch = 2)
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