cor2data | R Documentation |

A function to simulate data from a correlation matrix. This is useful for illustrating some theoretical properties of regressions when population parameters are known and set in advance.

cor2data(cor, n, seed)

`cor` |
A correlation matrix (of class |

`n` |
A number of observations to simulate |

`seed` |
An optional parameter to set a seed. Omitting this generates new simulations every time. |

`cor2data()`

returns a data frame where all observations are simulated from a standard
normal distribution, but with those pre-set correlations.

Steven V. Miller

vars <- c("control", "treat", "instr", "e") Correlations <- matrix(cbind(1, 0.001, 0.001, 0.001, 0.001, 1, 0.85, -0.5, 0.001, 0.85, 1, 0.001, 0.001, -0.5, 0.001, 1),nrow=4) rownames(Correlations) <- colnames(Correlations) <- vars cor2data(Correlations, 1000, 8675309)

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