Convert a correlation data frame to original matrix format.
Examples
x <- correlate(mtcars)
#> Correlation computed with
#> • Method: 'pearson'
#> • Missing treated using: 'pairwise.complete.obs'
as_matrix(x)
#> mpg cyl disp hp drat wt
#> mpg NA -0.8521620 -0.8475514 -0.7761684 0.68117191 -0.8676594
#> cyl -0.8521620 NA 0.9020329 0.8324475 -0.69993811 0.7824958
#> disp -0.8475514 0.9020329 NA 0.7909486 -0.71021393 0.8879799
#> hp -0.7761684 0.8324475 0.7909486 NA -0.44875912 0.6587479
#> drat 0.6811719 -0.6999381 -0.7102139 -0.4487591 NA -0.7124406
#> wt -0.8676594 0.7824958 0.8879799 0.6587479 -0.71244065 NA
#> qsec 0.4186840 -0.5912421 -0.4336979 -0.7082234 0.09120476 -0.1747159
#> vs 0.6640389 -0.8108118 -0.7104159 -0.7230967 0.44027846 -0.5549157
#> am 0.5998324 -0.5226070 -0.5912270 -0.2432043 0.71271113 -0.6924953
#> gear 0.4802848 -0.4926866 -0.5555692 -0.1257043 0.69961013 -0.5832870
#> carb -0.5509251 0.5269883 0.3949769 0.7498125 -0.09078980 0.4276059
#> qsec vs am gear carb
#> mpg 0.41868403 0.6640389 0.59983243 0.4802848 -0.55092507
#> cyl -0.59124207 -0.8108118 -0.52260705 -0.4926866 0.52698829
#> disp -0.43369788 -0.7104159 -0.59122704 -0.5555692 0.39497686
#> hp -0.70822339 -0.7230967 -0.24320426 -0.1257043 0.74981247
#> drat 0.09120476 0.4402785 0.71271113 0.6996101 -0.09078980
#> wt -0.17471588 -0.5549157 -0.69249526 -0.5832870 0.42760594
#> qsec NA 0.7445354 -0.22986086 -0.2126822 -0.65624923
#> vs 0.74453544 NA 0.16834512 0.2060233 -0.56960714
#> am -0.22986086 0.1683451 NA 0.7940588 0.05753435
#> gear -0.21268223 0.2060233 0.79405876 NA 0.27407284
#> carb -0.65624923 -0.5696071 0.05753435 0.2740728 NA