stone: Stone's Test
R: Stone's Test
stoneR Documentation
Stone's Test
R: Stone's Test
stoneR Documentation
Stone's Test
R: Stone's Test
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with multiplicative or
additive error term. the StoNED estimator combines the
axiomatic and non-parametric frontier (the DEA
July 2002. Each band, including both thermal bands, is contained in a separate file.
Usage
data(july1)
July 2002. Each band, including both thermal bands, is contained in a separate file.
Usage
data(july1)
R: Generates test datasets.
datasetR Documentation
Generates test datasets.
R: Testing dataset for deep learning methods
datasetsR Documentation
Testing dataset for deep learning methods
will be 'Cluster ID' and 'X'(outcome). The third column will be either 'Group Indicator' (for rank-sum tests) or 'Y'(paired outcome for signed-rank tests).
Usage
data("dataset")
R: datasets
datasetsR Documentation
datasets
R: Datasets
DatasetsR Documentation
Datasets
R: Datasets
DataSetR Documentation
Datasets
R: Datasets
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R: Datasets
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
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R: Datasets
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R: The datasets
datasetsR Documentation
The datasets
R: dataset
datasetR Documentation
dataset
R: Datasets
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R: Datasets
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
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R: Datasets
DataSetR Documentation
Datasets
R: Dataset
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