R corrr as_matrix 将相关数据帧转换为矩阵格式

as_matrix(x, diagonal)

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