Fcorr | R Documentation |

Density, distribution function, quantile function and random generator for the distribution of Fisher's transformation of product moment correlation, based on a random sample from a bivariate normal distribution

```
dFcorr(x, N, rho = 0, log = FALSE)
pFcorr(q, N, rho = 0, lower.tail = TRUE, log.p = FALSE)
qFcorr(p, N, rho = 0, lower.tail = TRUE, log.p = FALSE)
rFcorr(n, N, rho = 0, lower.tail = TRUE, log.p = FALSE)
```

`x` , `q` |
Numeric vectors of quantiles. |

`N` |
Numeric vector. Number of observations, (N > 3). |

`rho` |
Numeric vector. Population correlations, (-1 < rho < 1). |

`log` , `log.p` |
A logical scalar; if TRUE, probabilities p are given as log(p). |

`lower.tail` |
A logical scalar. If TRUE (default), probabilities are P[X <= x], otherwise, P[X > x]. |

`p` |
A numeric vector of probabilities in [0,1]. |

`n` |
Numeric scalar. The number of observations to be simulated.
If |

These functions rely on the
`correlation coefficient`

functions in the SuppDists package. SuppDists must be installed in order
for these functions to work.

Fisher, R. A. (1915). Frequency distribution of the values of
the correlation coefficient in samples of an indefinitely large
population. *Biometrika*, **10**(4), 507-521.

Fisher, R. A. (1921). On the "probable error" of a coefficient
of correlation deduced from a small sample. *Metron*, **1**,
3-32.
https://digital.library.adelaide.edu.au/dspace/bitstream/2440/15169/1/14.pdf

`correlation coefficient`

in the
SuppDists package for dpqr functions for the untransformed product moment
correlation coefficient.

`correlation`

: correlation sampling distribution movie.

```
got_SuppDists <- requireNamespace("SuppDists", quietly = TRUE)
if (got_SuppDists) {
dFcorr(-1:1, N = 10)
dFcorr(0, N = 11:20)
pFcorr(0.5, N = 10)
pFcorr(0.5, N = 10, rho = c(0, 0.3))
qFcorr((1:9)/10, N = 10, rho = 0.2)
qFcorr(0.5, N = c(10, 20), rho = c(0, 0.3))
rFcorr(6, N = 10, rho = 0.6)
}
```

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