Computes Pearson's correlation matrix with p-values

corr_coef(data, ..., verbose = TRUE)

Arguments

data

The data set.

...

Variables to use in the correlation. If no variable is informed all the numeric variables from data are used.

verbose

Logical argument. If verbose = FALSE the code is run silently.

Value

A list with the correlation coefficients and p-values

Author

Tiago Olivoto tiagoolivoto@gmail.com

Examples

# \donttest{ library(metan) # All numeric variables all <- corr_coef(data_ge2) # Select variables sel <- corr_coef(data_ge2, EP, EL, CD, CL) print(sel)
#> --------------------------------------------------------------------------- #> Pearson's correlation coefficient #> --------------------------------------------------------------------------- #> EP EL CD CL #> EP 1.000 0.263 0.175 0.391 #> EL 0.263 1.000 0.912 0.255 #> CD 0.175 0.912 1.000 0.300 #> CL 0.391 0.255 0.300 1.000 #> --------------------------------------------------------------------------- #> p-values for the correlation coefficients #> --------------------------------------------------------------------------- #> EP EL CD CL #> EP 0.00e+00 8.92e-04 2.88e-02 4.55e-07 #> EL 8.92e-04 0.00e+00 1.97e-61 1.29e-03 #> CD 2.88e-02 1.97e-61 0.00e+00 1.39e-04 #> CL 4.55e-07 1.29e-03 1.39e-04 0.00e+00 #> #> #>
# }