ci_cor | R Documentation |

This function calculates CIs for a population correlation coefficient.
For Pearson correlation, "normal" CIs are available (by `stats::cor.test()`

).
Also bootstrap CIs are supported (by default "bca", and the only option for
rank correlations).

```
ci_cor(
x,
y = NULL,
probs = c(0.025, 0.975),
method = c("pearson", "kendall", "spearman"),
type = c("normal", "bootstrap"),
boot_type = c("bca", "perc", "norm", "basic"),
R = 9999L,
seed = NULL,
...
)
```

`x` |
A numeric vector or a |

`y` |
A numeric vector (only used if |

`probs` |
Lower and upper probabilities, by default |

`method` |
Type of correlation coefficient, one of "pearson" (default), "kendall", or "spearman". For the latter two, only bootstrap CIs are supported. |

`type` |
Type of CI. One of "normal" (the default) or "bootstrap" (the only option for rank-correlations). |

`boot_type` |
Type of bootstrap CI. Only used for |

`R` |
The number of bootstrap resamples. Only used for |

`seed` |
An integer random seed. Only used for |

`...` |
Further arguments passed to |

An object of class "cint", see `ci_mean()`

for details.

```
ci_cor(iris[1:2])
ci_cor(iris[1:2], type = "bootstrap", R = 999) # Use larger R
ci_cor(iris[1:2], method = "spearman", type = "bootstrap", R = 999) # Use larger R
```

confintr documentation built on June 7, 2023, 6:24 p.m.

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