Function to produce plots of the distribution of standard correlation coefficients.

```
plot_cor(
r,
n,
method = c("pearson", "spearman", "kendall"),
type = c("c", "cd"),
levels = c(0.68, 0.9, 0.95, 0.999)
)
```

## Arguments

- r
The observed correlation coefficient.

- n
Total number of observations (sample size).

- method
The method by which the coefficient was calculated: pearson, spearman, or kendall (default is "pearson")

- type
Choose whether to plot a "consonance" function ("c"), consonance density ("cd"), or both (c("c","cd"); default option).

- levels
Numeric vector of confidence levels to display

## Value

Returns plot of the distribution of the correlation coefficient.

## Details

This function was created so that users could create consonance plots of Pearson's correlation coefficient.
These types of plots are discussed by Schweder T, Hjort NL. (2016, ISBN:9781316445051) and Rafi Z, Greenland S. (2020) doi:10.1186/s12874-020-01105-9.