This function select samples based on information given in the metadata

select.samples(siamcat, filter, allowed.set = NULL,
    allowed.range = NULL, verbose = 1)

Arguments

siamcat

an object of class siamcat-class

filter

string, name of the meta variable on which the selection should be done

allowed.set

a vector of allowed values

allowed.range

a range of allowed values

verbose

integer, control output: 0 for no output at all, 1 for only information about progress and success, 2 for normal level of information and 3 for full debug information, defaults to 1

Value

an object of class siamcat-class with labels and metadata filtered in order to contain only allowed values

Details

This functions selects labels and metadata based on a specific column in the metadata. Provided with a column-name in the metadata and a range or a set of allowed values, the function will filter the siamcat-class object accordingly.

Examples

data(siamcat_example) # Select all samples that fall into an Age-range between 25 and 80 years siamcat_selected <- select.samples(siamcat_example, filter='Age', allowed.range=c(25, 80))
#> Warning: The machine learning pipeline has to be run again after filtering the samples
#> Warning: Selcting samples may affect the results of feature filtering and normalization #> For sanity, results fromprevious analyses (e.g. filtered features) will be removed!
#> Selecting samples finished
# Select only female samples siamcat_female <- select.samples(siamcat_example, filter='Gender', allowed.set=c('F'))
#> Warning: The machine learning pipeline has to be run again after filtering the samples
#> Warning: Selcting samples may affect the results of feature filtering and normalization #> For sanity, results fromprevious analyses (e.g. filtered features) will be removed!
#> Selecting samples finished