partial_and_semipartial_correlation
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| Both sides previous revisionPrevious revisionNext revision | Previous revisionNext revisionBoth sides next revision | ||
| partial_and_semipartial_correlation [2019/05/26 22:54] – [Semipartial cor] hkimscil | partial_and_semipartial_correlation [2019/05/26 23:05] – [Semipartial cor] hkimscil | ||
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| Line 323: | Line 323: | ||
| ====== Semipartial cor ====== | ====== Semipartial cor ====== | ||
| - | < | ||
| - | > spcor.gpa.sat.clep | ||
| - | | ||
| - | 1 -0.09948786 0.7989893 -0.2645326 10 1 pearson | ||
| - | > spcor.gpa.sat.clep$estimate^2 | ||
| - | [1] 0.009897835 | ||
| - | > </ | ||
| - | |||
| < | < | ||
| > colnames(tests) <- c(" | > colnames(tests) <- c(" | ||
| Line 365: | Line 357: | ||
| > | > | ||
| > install.packages(" | > install.packages(" | ||
| - | WARNING: Rtools is required to build R packages but is not currently installed. Please download and install the appropriate version of Rtools before proceeding: | ||
| - | |||
| - | https:// | ||
| - | Installing package into ‘C:/ | ||
| - | (as ‘lib’ is unspecified) | ||
| - | trying URL ' | ||
| - | Content type ' | ||
| - | downloaded 29 KB | ||
| - | |||
| - | package ‘ppcor’ successfully unpacked and MD5 sums checked | ||
| - | |||
| - | The downloaded binary packages are in | ||
| - | C: | ||
| > library(ppcor) | > library(ppcor) | ||
| Loading required package: MASS | Loading required package: MASS | ||
| + | |||
| + | > # regression test for semipartial correlation (holding clep constant) | ||
| > spcor.gpa.sat.clep <- lm(gpa ~ res.lm.sat.clep) | > spcor.gpa.sat.clep <- lm(gpa ~ res.lm.sat.clep) | ||
| > summary(spcor.gpa.sat.clep) | > summary(spcor.gpa.sat.clep) | ||
| Line 400: | Line 381: | ||
| Multiple R-squared: | Multiple R-squared: | ||
| F-statistic: | F-statistic: | ||
| - | |||
| </ | </ | ||
| + | |||
| + | From the above: Multiple R-squared: 0.009898 | ||
| + | From the below: spcor.gpa.sat.clep%%$%%estimate^2: | ||
| + | |||
| + | < | ||
| + | > spcor.gpa.sat.clep | ||
| + | | ||
| + | 1 -0.09948786 0.7989893 -0.2645326 10 1 pearson | ||
| + | > spcor.gpa.sat.clep$estimate^2 | ||
| + | [1] 0.009897835 | ||
| + | > </ | ||
| + | |||
| + | |||
| + | |||
| ====== e.g., ====== | ====== e.g., ====== | ||
| In this example, the two IVs are orthogonal to each other (not correlated with each other). Hence, regress res.y.x2 against x1 would not result in any problem. | In this example, the two IVs are orthogonal to each other (not correlated with each other). Hence, regress res.y.x2 against x1 would not result in any problem. | ||
partial_and_semipartial_correlation.txt · Last modified: 2023/05/31 08:56 by hkimscil