Description Usage Arguments Value Examples

View source: R/generate_simulated_data.R

Generate a matrix of correlated variables

1 | ```
generate_correlated_matrix(n, p, corr, constant_cov_matrix = T, mean = 0)
``` |

`n` |
number of observations |

`p` |
number of features/variables |

`corr` |
the correlation coefficient (-1 < r < 1) |

`constant_cov_matrix` |
should the value of corr be constant in the covariance matrix, or should corr be the average value in the covariance matrix. |

`mean` |
the mean value of the generated variables. |

an n x p matrix

1 2 | ```
Subject <- generate_correlated_matrix(1, 100, corr = .75,constant_cov_matrix = TRUE)
Reference_Population <- generate_correlated_matrix(100, 100, corr = .75,constant_cov_matrix = TRUE)
``` |

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