如何找到结果值
How to find the result value
在以下结果中如何在R中找到估计结果值？
例如，我怎样才能找到 'a1' 或 'a4' 的估计值？
这是summary(musc.2)
的结果
summary(musc.2)
Formula: Length ~ a[Strip] + b[Strip] * exp(-Conc/th)'
Parameters:
Estimate Std. Error t value Pr(>|t|)
a1 23.4541 0.7962 29.456 4.96e-16 ***
a2 28.3020 0.7927 35.703 < 2e-16 ***
a3 30.8007 1.7156 17.953 1.73e-12 ***
a4 25.9211 3.0158 8.595 1.36e-07 ***
a5 23.2008 2.8912 8.025 3.50e-07 ***
a6 20.1200 2.4354 8.261 2.35e-07 ***
a7 33.5953 1.6815 19.979 3.04e-13 ***
a8 39.0527 3.7533 10.405 8.63e-09 ***
a9 32.1369 3.3175 9.687 2.46e-08 ***
a10 40.0052 3.3358 11.993 1.02e-09 ***
a11 36.1904 3.1095 11.639 1.60e-09 ***
a12 36.9109 1.8390 20.071 2.82e-13 ***
a13 30.6346 1.7004 18.016 1.64e-12 ***
a14 34.3118 3.4951 9.817 2.03e-08 ***
a15 38.3952 3.3749 11.377 2.27e-09 ***
a16 31.2258 0.8857 35.257 < 2e-16 ***
a17 31.2303 0.8214 38.019 < 2e-16 ***
a18 19.9977 1.0108 19.784 3.58e-13 ***
a19 37.0953 1.0706 34.650 < 2e-16 ***
a20 32.5942 1.1212 29.070 6.18e-16 ***
a21 30.3757 1.0570 28.738 7.48e-16 ***
b1 -27.3004 6.8732 -3.972 0.000985 ***
b2 -26.2702 6.7537 -3.890 0.001178 **
b3 -30.9011 2.2700 -13.613 1.43e-10 ***
b4 -32.2384 3.8100 -8.461 1.69e-07 ***
b5 -29.9406 3.7728 -7.936 4.07e-07 ***
b6 -20.6219 3.6473 -5.654 2.86e-05 ***
b7 -19.6246 8.0848 -2.427 0.026610 *
b8 -45.7799 4.1131 -11.130 3.15e-09 ***
b9 -31.3446 6.3522 -4.934 0.000126 ***
b10 -38.5987 3.9555 -9.758 2.21e-08 ***
b11 -33.9211 3.8388 -8.836 9.19e-08 ***
b12 -38.2680 8.9920 -4.256 0.000533 ***
b13 -22.5683 8.1943 -2.754 0.013550 *
b14 -36.1669 6.3576 -5.689 2.66e-05 ***
b15 -32.9521 6.3539 -5.186 7.44e-05 ***
b16 -47.2068 9.5403 -4.948 0.000122 ***
b17 -33.8746 7.6884 -4.406 0.000386 ***
b18 -15.8962 6.2222 -2.555 0.020508 *
b19 -28.9690 7.2353 -4.004 0.000919 ***
b20 -36.9171 8.0325 -4.596 0.000257 ***
b21 -26.5075 7.0125 -3.780 0.001494 **
th 0.7969 0.1266 6.296 8.04e-06 ***
---
summary(musc.2)$coefficients [1,1] 会给你 a1 估计
summary(musc.2)$coefficients [1,2] 会给你 a2 估计值
...等等
在以下结果中如何在R中找到估计结果值？ 例如，我怎样才能找到 'a1' 或 'a4' 的估计值？
这是summary(musc.2)
summary(musc.2)
Formula: Length ~ a[Strip] + b[Strip] * exp(-Conc/th)'
Parameters:
Estimate Std. Error t value Pr(>|t|)
a1 23.4541 0.7962 29.456 4.96e-16 ***
a2 28.3020 0.7927 35.703 < 2e-16 ***
a3 30.8007 1.7156 17.953 1.73e-12 ***
a4 25.9211 3.0158 8.595 1.36e-07 ***
a5 23.2008 2.8912 8.025 3.50e-07 ***
a6 20.1200 2.4354 8.261 2.35e-07 ***
a7 33.5953 1.6815 19.979 3.04e-13 ***
a8 39.0527 3.7533 10.405 8.63e-09 ***
a9 32.1369 3.3175 9.687 2.46e-08 ***
a10 40.0052 3.3358 11.993 1.02e-09 ***
a11 36.1904 3.1095 11.639 1.60e-09 ***
a12 36.9109 1.8390 20.071 2.82e-13 ***
a13 30.6346 1.7004 18.016 1.64e-12 ***
a14 34.3118 3.4951 9.817 2.03e-08 ***
a15 38.3952 3.3749 11.377 2.27e-09 ***
a16 31.2258 0.8857 35.257 < 2e-16 ***
a17 31.2303 0.8214 38.019 < 2e-16 ***
a18 19.9977 1.0108 19.784 3.58e-13 ***
a19 37.0953 1.0706 34.650 < 2e-16 ***
a20 32.5942 1.1212 29.070 6.18e-16 ***
a21 30.3757 1.0570 28.738 7.48e-16 ***
b1 -27.3004 6.8732 -3.972 0.000985 ***
b2 -26.2702 6.7537 -3.890 0.001178 **
b3 -30.9011 2.2700 -13.613 1.43e-10 ***
b4 -32.2384 3.8100 -8.461 1.69e-07 ***
b5 -29.9406 3.7728 -7.936 4.07e-07 ***
b6 -20.6219 3.6473 -5.654 2.86e-05 ***
b7 -19.6246 8.0848 -2.427 0.026610 *
b8 -45.7799 4.1131 -11.130 3.15e-09 ***
b9 -31.3446 6.3522 -4.934 0.000126 ***
b10 -38.5987 3.9555 -9.758 2.21e-08 ***
b11 -33.9211 3.8388 -8.836 9.19e-08 ***
b12 -38.2680 8.9920 -4.256 0.000533 ***
b13 -22.5683 8.1943 -2.754 0.013550 *
b14 -36.1669 6.3576 -5.689 2.66e-05 ***
b15 -32.9521 6.3539 -5.186 7.44e-05 ***
b16 -47.2068 9.5403 -4.948 0.000122 ***
b17 -33.8746 7.6884 -4.406 0.000386 ***
b18 -15.8962 6.2222 -2.555 0.020508 *
b19 -28.9690 7.2353 -4.004 0.000919 ***
b20 -36.9171 8.0325 -4.596 0.000257 ***
b21 -26.5075 7.0125 -3.780 0.001494 **
th 0.7969 0.1266 6.296 8.04e-06 ***
---
summary(musc.2)$coefficients [1,1] 会给你 a1 估计
summary(musc.2)$coefficients [1,2] 会给你 a2 估计值
...等等