Description Usage Arguments Value Author(s) Examples

cor.gen is a function to generate two vectors of N scores drawn from a normal distribution with the user-specified means, standard deviations, and correlation. The raw data will be written to a text file in the user's working directory.

1 | ```
cor.gen(num.subj, x.mean, x.sd, y.mean, y.sd, correlation, data.dec = 2, x.name = "Variable X", y.name = "Variable Y")
``` |

`num.subj` |
Specifies the intended sample size (N) |

`x.mean` |
Specifies the intended mean for variable X |

`x.sd` |
Specifies the intended standard deviation for variable X |

`y.mean` |
Specifies the intended mean for variable Y |

`y.sd` |
Specifies the intended standard deviation for variable Y |

`correlation` |
Specifies the indended correlation between X & Y |

`data.dec` |
Specifies the number of decimal places in the sample data |

`x.name` |
Specifies the name of variable X |

`y.name` |
Specifies the name of variable Y |

The values returned are the raw data which is printed to the R console as well as saved to a text file to be imported to other programs or back into R. The R console will also display performance data including the descriptive statistics.

Brendan Morse

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
# In a study published in Body Image on the effects
# of massage on state (temporary) body image, Dunigan,
# King, & Morse (2011) reported that their observed
# correlation between body mass index scores (BMI) and
# body image state scores (BISS) to be -.56 for their
# 49 participants. We can use cor.gen to generate a sample
# of raw scores to match these statistics and use this
# data as a teaching example for Pearson correlations in
# an introductory statistics course.
# To generate the data
cor.gen(49, 24.38, 6.22, 5.16, 1.47, -.56, data.dec=2, x.name="BMI", y.name="BISS")
``` |

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