cqc_check_channel | R Documentation |
This is the first step of the entire qc workflow. It extracts meta information(specified by 'type' argument) from the raw data and compare/group them across samples. This provides a sample-wise data table for the further summary report.
cqc_check_channel(x, ...) cqc_check_marker(x, ...) cqc_check_panel(x, by = "channel", ...) cqc_check_keyword(x, ...) cqc_check_gate(x, ...) cqc_check(x, ...)
x |
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... |
additional arguments. type – specify the qc type, can be "channel", "marker" or "panel" delimiter – a special character used to separate channel and marker keys – The vector to supply the keys to be grouped on. default is NULL, which is extracted automatically from the flow data |
by |
the column used as the anchor when 'x' is the check result of panel, it can be either 'channel' or 'marker' |
a tibble with 4 columns: object, qc type (e.g. channel), group_id and nobject (i.e. group count)
fcs_files <- list.files(system.file("extdata", "GvHD_QC", package = "cytoqc"), full.names = TRUE) qc_cf_list <- cqc_load_fcs(fcs_files) # You may directly call the method for the parameter you would like to check keyword_groups <- cqc_check_keyword(qc_cf_list) keyword_groups # Or use the type argument channel_groups <- cqc_check(qc_cf_list, type = "channel") channel_groups panel_groups <- cqc_check(qc_cf_list, type = "panel", by = "marker") panel_groups
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