> spcor(da1) $estimate api00 ell acs_k3 avg_ed meals api00 1.00000000 -0.09112026 0.03072660 0.08883450 -0.3190889 ell -0.13469956 1.00000000 0.06086724 -0.06173591 0.1626061 acs_k3 0.07245527 0.09709299 1.00000000 -0.13288465 -0.1367842 avg_ed 0.12079565 -0.05678795 -0.07662825 1.00000000 -0.2028836 meals -0.29972194 0.10332189 -0.05448629 -0.14014709 1.0000000 $p.value api00 ell acs_k3 avg_ed meals api00 0.000000e+00 0.07761805 0.5525340 0.085390280 2.403284e-10 ell 8.918743e-03 0.00000000 0.2390272 0.232377348 1.558141e-03 acs_k3 1.608778e-01 0.05998819 0.0000000 0.009891503 7.907183e-03 avg_ed 1.912418e-02 0.27203887 0.1380449 0.000000000 7.424903e-05 meals 3.041658e-09 0.04526574 0.2919775 0.006489783 0.000000e+00 $statistic api00 ell acs_k3 avg_ed meals api00 0.000000 -1.769543 0.5945048 1.724797 -6.511264 ell -2.628924 0.000000 1.1793030 -1.196197 3.187069 acs_k3 1.404911 1.886603 0.0000000 -2.592862 -2.670380 avg_ed 2.353309 -1.100002 -1.4862899 0.000000 -4.006914 meals -6.075665 2.008902 -1.0552823 -2.737331 0.000000 $n [1] 379 $gp [1] 3 $method [1] "pearson" > spcor(da2) $estimate api00 ell avg_ed meals api00 1.0000000 -0.08988307 0.08485896 -0.3350062 ell -0.1331295 1.00000000 -0.07018696 0.1557097 avg_ed 0.1164280 -0.06501592 1.00000000 -0.1967128 meals -0.3170300 0.09948710 -0.13568145 1.0000000 $p.value api00 ell avg_ed meals api00 0.000000e+00 0.08053412 0.099035570 2.160270e-11 ell 9.465897e-03 0.00000000 0.172705169 2.366624e-03 avg_ed 2.340012e-02 0.20663211 0.000000000 1.158869e-04 meals 2.698723e-10 0.05296417 0.008170237 0.000000e+00 $statistic api00 ell avg_ed meals api00 0.000000 -1.752306 1.653628 -6.903560 ell -2.608123 0.000000 -1.366153 3.060666 avg_ed 2.276102 -1.265057 0.000000 -3.895587 meals -6.490414 1.941321 -2.659047 0.000000 $n [1] 381 $gp [1] 2 $method [1] "pearson" >