Description Usage Arguments Value Examples

View source: R/generateTestData.R

Generate simple 1D dataset with two contexts, where the data are generated from Gaussian distributions. The generated output contains two datasets, where each dataset contains 4 global clusters, originating from two local clusters in each context.

1 | ```
generateTestData_1D(groupCounts, means)
``` |

`groupCounts` |
Number of data samples in each global cluster.
It is assumed to be a vector of four elements: |

`means` |
Means of the simulated clusters.
It is assumed to be a vector of two elements: |

Returns the simulated datasets together with true assignmets.

`data` |
List of datasets for each context. This can be used as an input
for the |

`groups` |
True cluster assignments that were used to generate the data. |

1 2 3 4 5 | ```
groupCounts <- c(50, 10, 40, 60)
means <- c(-1.5,1.5)
testData <- generateTestData_1D(groupCounts, means)
# Use the dataset as an input for the contextCluster function for testing
datasets <- testData$data
``` |

evelinag/clusternomics documentation built on May 13, 2017, 10:04 p.m.

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