Description Usage Arguments Details Value Examples

This function displays transformation from r to r2 to calculate the non-central confidence interval for r2 using the F distribution.

1 | ```
r.correl(r, n, a = 0.05)
``` |

`r` |
correlation coefficient |

`n` |
sample size |

`a` |
significance level |

The t-statistic is calculated by first dividing one minus the square root of r squared by degrees of freedom of the error. r is divided by this value.

t = r / sqrt((1 - rsq) / (n - 2))

The F-statistic is the t-statistic squared.

Fvalue = t ^ 2

Learn more on our example page.

Provides correlation coefficient and coefficient of determination with associated confidence intervals and relevant statistics.

`r` |
correlation coefficient |

`rlow` |
lower level confidence interval r |

`rhigh` |
upper level confidence interval r |

`R2` |
coefficient of determination |

`R2low` |
lower level confidence interval of R2 |

`R2high` |
upper level confidence interval of R2 |

`se` |
standard error |

`n` |
sample size |

`dfm` |
degrees of freedom of mean |

`dfe` |
degrees of freedom of error |

`t` |
t-statistic |

`F` |
F-statistic |

`p` |
p-value |

`estimate` |
the r statistic and confidence interval in APA style for markdown printing |

`estimateR2` |
the R^2 statistic and confidence interval in APA style for markdown printing |

`statistic` |
the t-statistic in APA style for markdown printing |

1 2 3 4 5 6 7 |

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