semijoin | R Documentation |
This function is used as support to the filter method to define semijoin conditions on metadata
semijoin(.data, is_in = TRUE, groupBy)
.data |
GMQLDataset class object |
is_in |
logical value: TRUE => for a given sample of input dataset
'.data' in |
groupBy |
|
semijoin condition as list
## 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 folders "DATASET" and "DATASET_GDM" in the subdirectory
## "example" of the package "RGMQL" and opens such folders as GMQL datasets
## named "data" and "join_data", respectively
init_gmql()
test_path <- system.file("example", "DATASET", package = "RGMQL")
test_path2 <- system.file("example", "DATASET_GDM", package = "RGMQL")
data <- read_gmql(test_path)
join_data <- read_gmql(test_path2)
## This statement creates a new dataset called 'jun_tf' by selecting those
## samples and their regions from the existing 'data' dataset such that:
## Each output sample has a metadata attribute called antibody_target
## with value JUN.
## Each output sample also has not a metadata attribute called cell
## that has the same value of at least one of the values that a metadata
## attribute equally called cell has in at least one sample
## of the 'join_data' dataset.
## For each sample satisfying previous conditions, only its regions that
## have a region attribute called pValue with the associated value
## less than 0.01 are conserved in output
jun_tf <- filter(data, antibody_target == "JUN", pvalue < 0.01,
semijoin(join_data, FALSE, conds("cell")))
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