compare_multi_features: p value for whether one feature affects performance.
In ayanglab/How-to-Perform-Technical-Systematic-Review-And-Meta-Analysis-Tutorial: What the Package Does (One Line, Title Case)
Description
p value for whether one feature affects performance.
Usage
1
compare_multi_features(rdata, one_metric, selected_features, save_dir)
Arguments
rdata
the input dataframe
one_metric
metric for performance, must be a continuous variable
selected_features
a vector of features to compare. If a feature is
categorical, Wilcoxon rank sum test will be carried out. If it is
continuous, the R2 correlation will be computed
save_dir
which directory to save the results as a text file
ayanglab/How-to-Perform-Technical-Systematic-Review-And-Meta-Analysis-Tutorial documentation built on Feb. 7, 2022, 12:45 a.m.
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Description
p value for whether one feature affects performance.
Usage
1 | compare_multi_features(rdata, one_metric, selected_features, save_dir)
|
Arguments
rdata |
the input dataframe |
one_metric |
metric for performance, must be a continuous variable |
selected_features |
a vector of features to compare. If a feature is categorical, Wilcoxon rank sum test will be carried out. If it is continuous, the R2 correlation will be computed |
save_dir |
which directory to save the results as a text file |
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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