splitCommon: Split Sample Table
In pcahan1/cancerCellNet: CellNet, for cancer
splitCommon R Documentation
Split Sample Table
Description
Split the sample table into training and validation through random sampling.
Usage
splitCommon(sampTab, ncells = NA, dLevel)
Arguments
sampTab
sample table
ncells
number of samples for training in each category. If left empty, will automatically select half of the number of samples in the smallest category.
dLevel
the column name with the classification categories.
Value
a list containing training sample table and validation sample table
pcahan1/cancerCellNet documentation built on July 16, 2022, 12:12 a.m.
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| splitCommon | R Documentation |
Split Sample Table
Description
Split the sample table into training and validation through random sampling.
Usage
splitCommon(sampTab, ncells = NA, dLevel)
Arguments
sampTab |
sample table |
ncells |
number of samples for training in each category. If left empty, will automatically select half of the number of samples in the smallest category. |
dLevel |
the column name with the classification categories. |
Value
a list containing training sample table and validation sample table
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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