pred-aggr-params | R Documentation |
Parameters that are used by method functions such as.data.table
to
aggregate predicted concentrations or toxicities.
getDefPredAggrParams(all = mean, ...)
all |
The default aggregation function for all types, e.g. |
... |
optional named arguments that override defaults. |
Multiple concentration or toxicity values may be assigned to a single feature group. To ease the interpretation and data handling, several functions aggregate these values prior their use. Aggregation occurs by the following data:
The candidate (i.e. suspect or annotation candidate). This is mainly relevant for sets workflows, where calculations among sets may yield different results for the same candidate.
The prediction type, e.g. all values that were obtained from suspect or compound annotation data.
The feature group.
The aggregation of all data first occurs by the same candidate/type/feature group, then the same type/feature group and finally for each feature group. This ensures that e.g. large numbers of data points for a prediction type do not bias results.
The candidateFunc
, typeFunc
and groupFunc
parameters specify the function that should be used to
aggregate data. Commonly, functions such mean
, min
or max
can be used here.
Note that the function does not need to handle NA
values, as these are removed in advance.
The preferType
parameters specifies the preferred prediction type. Any values from other prediction
types will be ignored unless the preferred type is not available for a feature group. Valid values are
"suspect"
(the default), "compound"
(results from compound annotation by SMILES),
"SIRIUS_FP"
(results from formula/compound annotation with SIRIUS+CSI:FingerID
) or "none"
.
These parameters should be stored inside a list
. The getDefPredAggrParams
function can be used to
generate such parameter list with defaults.
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