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Through the results obtained from corrp function create a correlation matrix.

Usage

corr_matrix(c, ...)

# S3 method for default
corr_matrix(c, col = c("infer.value", "stat.value", "isig"), isig = TRUE, ...)

# S3 method for clist
corr_matrix(c, col = c("infer.value", "stat.value", "isig"), isig = TRUE, ...)

Arguments

c

\[corrp.list(1)]
output from the corrp function.

...

Additional arguments (TODO).

col

\[character(1)]
choose the column to be used in the correlation matrix.

isig

\[logical(1)]
values that are not statistically significant will be represented by NA or FALSE in the correlation matrix.

Author

Igor D.S. Siciliani