Last chance! 50% off unlimited learning
Sale ends in
Please note that (naturally) the columns of df have to be of the correct
type w.r.t. the corresponding parameter. The only exception are integer parameters
where the corresponding columns in df are allowed to be numerics.
And also see the argument enforce.col.types as a way around this restriction.
| numeric(vector) | numeric |
| integer(vector) | integer |
| discrete(vector) | factor (names of values = levels) |
Dependent parameters whose requirements are not satisfied are represented by a scalar NA in the output.
dfRowsToList(df, par.set, enforce.col.types = FALSE, ...)dfRowToList(df, par.set, i, enforce.col.types = FALSE, ...)
[data.frame]
Data.frame, potentially from OptPathDF.
Columns are assumed to be in the same order as par.set.
[ParamSet]
Parameter set.
[logical(1)]
Should all df columns be initially converted to the type
returned by getParamTypes(df, df.cols = TRUE).
This can help to work with “non-standard” data.frames where the types are
slightly “off”. But note that there is no guarantee that this will
work if the types are really wrong and there is no naturally correct way
to convert them.
Default is FALSE.
[any]
Arguments passed to convertDataFrameCols
[integer(1)]
Row index.
[list]. Named by parameter ids.