filtering | R Documentation |
Manipulating GDCQuery filters
The filter
is simply a safe accessor for
the filter element in GDCQuery
objects.
The get_filter
is simply a safe accessor for
the filter element in GDCQuery
objects.
filter(x, expr)
## S3 method for class 'GDCQuery'
filter(x, expr)
get_filter(x)
## S3 method for class 'GDCQuery'
get_filter(x)
x |
the object on which to set the filter list member |
expr |
a filter expression in the form of
the right hand side of a formula, where bare names
(without quotes) are allowed if they are available
fields associated with the GDCQuery object, |
A GDCQuery
object with the filter
field replaced by specified filter expression
# make a GDCQuery object to start
#
# Projects
#
pQuery = projects()
# check for the default fields
# so that we can use one of them to build a filter
default_fields(pQuery)
pQuery = filter(pQuery,~ project_id == 'TCGA-LUAC')
get_filter(pQuery)
#
# Files
#
fQuery = files()
default_fields(fQuery)
fQuery = filter(fQuery,~ data_format == 'VCF')
# OR
# with recent GenomicDataCommons versions:
# no "~" needed
fQuery = filter(fQuery, data_format == 'VCF')
get_filter(fQuery)
fQuery = filter(fQuery,~ data_format == 'VCF'
& experimental_strategy == 'WXS'
& type == 'simple_somatic_mutation')
files() |> filter(~ data_format == 'VCF'
& experimental_strategy=='WXS'
& type == 'simple_somatic_mutation') |> count()
files() |> filter( data_format == 'VCF'
& experimental_strategy=='WXS'
& type == 'simple_somatic_mutation') |> count()
# Filters may be chained for the
# equivalent query
#
# When chained, filters are combined with logical AND
files() |>
filter(~ data_format == 'VCF') |>
filter(~ experimental_strategy == 'WXS') |>
filter(~ type == 'simple_somatic_mutation') |>
count()
# OR
files() |>
filter( data_format == 'VCF') |>
filter( experimental_strategy == 'WXS') |>
filter( type == 'simple_somatic_mutation') |>
count()
# Use str() to get a cleaner picture
str(get_filter(fQuery))
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