dot-normalize_max_removed_per_cond: Normalizes max_removed_per_cond parameter for match_groups()...
In ldamatch: Selection of Statistically Similar Research Groups
.normalize_max_removed_per_cond R Documentation
Normalizes max_removed_per_cond parameter for match_groups() and estimate_exhaustive().
Description
Normalizes max_removed_per_cond parameter for match_groups() and estimate_exhaustive().
Usage
.normalize_max_removed_per_cond(max_removed_per_cond, condition)
Arguments
max_removed_per_cond
A named integer vector, containing the maximum number
of subjects that can be removed from each group.
Specify 0 for groups if you want to preserve
all of their subjects. If you do not specify a value
for a group, it defaults to 2 less than the group size.
Values outside the valid range of 0..(N-1)
(where N is the number of subjects in the group)
are corrected without a warning.
condition
A factor vector containing condition labels.
ldamatch documentation built on May 29, 2024, 7:56 a.m.
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| .normalize_max_removed_per_cond | R Documentation |
Normalizes max_removed_per_cond parameter for match_groups() and estimate_exhaustive().
Description
Normalizes max_removed_per_cond parameter for match_groups() and estimate_exhaustive().
Usage
.normalize_max_removed_per_cond(max_removed_per_cond, condition)
Arguments
max_removed_per_cond |
A named integer vector, containing the maximum number of subjects that can be removed from each group. Specify 0 for groups if you want to preserve all of their subjects. If you do not specify a value for a group, it defaults to 2 less than the group size. Values outside the valid range of 0..(N-1) (where N is the number of subjects in the group) are corrected without a warning. |
condition |
A factor vector containing condition labels. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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