make_extval: Make an external validation set
In awqx/qsarr: Useful Functions for Building a QSAR in R
Description
Usage
Arguments
Value
Description
make_extval takes a data frame and splits it into a data set
for model tuning and training as well as another data set for
external validation of the model.
Usage
1
make_extval(df, p = 0.15, seed = as.integer(Sys.time()))
Arguments
df
The data frame to split
p
The proportion of data in the split. Default is 0.15.
seed
The random seed for the data. The default is the
current time as an integer, i.e., as.integer(Sys.time()).
Value
A list where the entry trn is the retained data and
the entry extval is set aside for external validation.
awqx/qsarr documentation built on Oct. 2, 2021, 7:05 a.m.
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Description Usage Arguments Value
Description
make_extval takes a data frame and splits it into a data set
for model tuning and training as well as another data set for
external validation of the model.
Usage
1 | make_extval(df, p = 0.15, seed = as.integer(Sys.time()))
|
Arguments
df |
The data frame to split |
p |
The proportion of data in the split. Default is |
seed |
The random seed for the data. The default is the
current time as an integer, i.e., |
Value
A list where the entry trn is the retained data and
the entry extval is set aside for external validation.
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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