plot_cor {TOSTER} | R Documentation |
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) )
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"); defualt option). |
levels |
Numeric vector of confidence levels to display |
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>.
Returns plot of the distribution of the correlation coefficient.
Other plotting functions:
plot_pes()
,
plot_smd()