Description Usage Arguments Value Author(s) References Examples

Bootstraps each variable's score distribution from a supplied data set.

1 2 | ```
GenDataSample(supplied.data, n.factors = 0, max.trials = 5, initial.multiplier = 1,
corr.type = "pearson", seed = 0)
``` |

`supplied.data` |
Data supplied by user. |

`n.factors` |
Number of factors (scalar, default is 0). |

`max.trials` |
Maximum number of trials (scalar, default is 5). |

`initial.multiplier` |
Value of initial multiplier (scalar, default is 1). |

`corr.type` |
Type of correlation (character, default is "pearson", user can also call "spearman"). |

`seed` |
seed value (scalar, default is 0). |

dataSample of data

John Ruscio

Ruscio & Kaczetow (2008)

1 2 3 4 5 6 7 8 9 10 11 12 | ```
# create data matrix x with n = 200 cases, k = 9 variables
# 3 variables load onto each of 3 orthogonal factors
# all marginal distributions are highly skewed
x <- matrix(nrow = 200, ncol = 9)
for (i in 1:3) {
shared <- rchisq(200, 1)
for (j in 1:3) {
x[, (i - 1) * 3 + j] <- shared + rchisq(200, 1)
}
}
# generate sample of data reproducing distributions and correlations in x
GenDataSample(x)
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.