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--- sequential_regression [2024/06/12 08:22] – [r] hkimscil
+++ sequential_regression [2024/06/12 08:30] (current) – [r] hkimscil
@@ Line 279: / Line 279: @@
 <code>
-pcor.test(datavar$bankaccount, datavar$income, datavar$famnum)
+pp.b.i <- pcor.test(datavar$bankaccount, datavar$income, datavar$famnum)
-pcor.test(datavar$bankaccount, datavar$famnum, datavar$income)
+p.b.i
+p.b.i$estimate
-spcor.test(datavar$bankaccount, datavar$income, datavar$famnum)
+p.b.f <- pcor.test(datavar$bankaccount, datavar$famnum, datavar$income)
-spcor.test(datavar$bankaccount, datavar$famnum, datavar$income)
+p.b.f
+p.b.f$estimate
+sp.b.i <- spcor.test(datavar$bankaccount, datavar$income, datavar$famnum)
+sp.b.i
+sp.b.i$estimate
+sp.b.f <- spcor.test(datavar$bankaccount, datavar$famnum, datavar$income)
+sp.b.f
+sp.b.f$estimate
+zc.b.i <- cor(datavar$bankaccount, datavar$income)
+zc.b.i
+zc.b.f <- cor(datavar$bankaccount, datavar$famnum)
+zc.b.f
+zc.b.i^2 - (sp.b.i$estimate)^2
+zc.b.f^2 - (sp.b.f$estimate)^2
-cor(datavar$bankaccount, datavar$income)
-cor(datavar$bankaccount, datavar$famnum)
 </code>
 . . .
 <code>
-> pcor.test(datavar$bankaccount, datavar$income, datavar$famnum)
+> pp.b.i <- pcor.test(datavar$bankaccount, datavar$income, datavar$famnum)
-   estimate    p.value statistic  n gp  Method
+> p.b.i
-0.7825112 0.01267595  3.325102 10  1 pearson
+  estimate p.value statistic  n gp  Method
-> pcor.test(datavar$bankaccount, datavar$famnum, datavar$income)
+   0.7825 0.01268     3.325 10  1 pearson
-   estimate    p.value statistic  n gp  Method
+> p.b.i$estimate
- -0.672856 0.04702022 -2.406425 10  1 pearson
+[1] 0.7825
->
->
-> spcor.test(datavar$bankaccount, datavar$income, datavar$famnum)
-   estimate  p.value statistic  n gp  Method
-0.5646726 0.113182  1.810198 10  1 pearson
-> spcor.test(datavar$bankaccount, datavar$famnum, datavar$income)
-    estimate   p.value statistic  n gp  Method
- -0.4086619 0.2748117 -1.184655 10  1 pearson
 >
->
+> p.b.f <- pcor.test(datavar$bankaccount, datavar$famnum, datavar$income)
-> cor(datavar$bankaccount, datavar$income)
+> p.b.f
+  estimate p.value statistic  n gp  Method
+  -0.6729 0.04702    -2.406 10  1 pearson
+> p.b.f$estimate
+[1] -0.6729
+>
+> sp.b.i <- spcor.test(datavar$bankaccount, datavar$income, datavar$famnum)
+> sp.b.i
+  estimate p.value statistic  n gp  Method
+   0.5647  0.1132      1.81 10  1 pearson
+> sp.b.i$estimate
+[1] 0.5647
+> sp.b.f <- spcor.test(datavar$bankaccount, datavar$famnum, datavar$income)
+> sp.b.f
+  estimate p.value statistic  n gp  Method
+  -0.4087  0.2748    -1.185 10  1 pearson
+> sp.b.f$estimate
+[1] -0.4087
+>
+>
+> zc.b.i <- cor(datavar$bankaccount, datavar$income)
+> zc.b.i
 [1] 0.7944
-> cor(datavar$bankaccount, datavar$famnum)
+> zc.b.f <- cor(datavar$bankaccount, datavar$famnum)
+> zc.b.f
 [1] -0.6923
 >
+> zc.b.i^2 - (sp.b.i$estimate)^2
+[1] 0.3123
+> zc.b.f^2 - (sp.b.f$estimate)^2
+[1] 0.3123
+>
+>
+>
 </code>