Computes Pearson's correlation matrix with p-values
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.
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
#>
#>
#>
# }