The rms and Hmisc packages can be found on CRAN. Just run install packages from the console menu.
Dan Daniel Nordlund, PhD Research and Data Analysis Division Services & Enterprise Support Administration Washington State Department of Social and Health Services > -----Original Message----- > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of AbouEl- > Makarim Aboueissa > Sent: Wednesday, March 01, 2017 9:57 AM > To: R-help@r-project.org > Subject: [R] Coefficient of Partial Determination > > Dear All: > > Can the *Coefficient of Partial Determination* in multiple linear > regression be computed in R? If so, could you please let me know how? > > > fullmodel <- lm(Price ~ Size + Lotsize + Bedrooms + Bathrooms) > > > *I found this in the internet, but I could find the package "rms"* > > *library(rms) # will also load Hmisc* > > *fit <- ols(y ~ x1 + x2, data=bf.dat) * > > *plt <- plot(anova(fit), what='partial R2')* > > *plt* > > > > Here is part of the data as an example: > --------------------------------------------------- > > Taxes Bedrooms Bathrooms Price Size Lotsize > 296 3 3 795000 2371 5850 > 242 4 3 399000 2818 4000 > 242 4 3 545000 3032 3060 > 222 4 4 909000 3540 6650 > 222 3 1 109900 1249 6360 > 222 3 3 324900 1800 4160 > 311 4 2 192900 1603 3880 > 311 3 2 215000 1450 4160 > 311 4 3 999000 3360 4800 > 311 3 2 319000 1323 5500 > 311 3 2 350000 1750 7200 > 311 3 2 249000 1400 3000 > 311 2 2 299000 1257 1700 > 307 3 2 235900 1400 2880 > 307 3 2 348000 1600 3600 > 307 4 3 314000 1794 3185 > 307 4 2 399000 1850 3300 > 307 3 3 599000 2950 5200 > 307 3 2 299000 1719 3450 > 307 3 3 425000 1472 3986 > 307 4 3 1100000 4168 4785 > 307 3 3 1500000 3880 4510 > 307 2 1 110000 1000 4000 > 307 3 2 200000 1139 3934 > 307 3 1 134900 1080 4960 > 307 4 3 250000 2000 3000 > 307 3 4 950000 1920 3800 > 307 4 2 239950 1348 4960 > 307 3 2 170000 1280 3000 > 307 3 2 285000 2400 4500 > 307 3 3 279000 1700 3500 > 307 3 2 219000 1600 3500 > 307 3 2 155000 1050 4000 > 307 3 2 389000 1415 4500 > 307 3 1 340000 1110 6360 > 279 2 1 95000 797 4500 > 279 2 2 140000 1100 4032 > 279 3 3 1100000 2602 5170 > 279 4 3 360000 2351 5400 > 252 3 3 415000 1350 3150 > 252 4 2 250000 1206 3745 > 233 3 3 559000 2628 4520 > 233 3 3 525000 2365 4640 > 233 3 3 779000 2990 8580 > 233 3 2 595000 1750 2000 > 233 4 5 1150000 5500 2160 > 233 3 2 550000 1852 3040 > 233 3 2 500000 2100 3090 > 233 4 3 279000 2580 4960 > 233 4 2 375000 1963 3350 > 243 3 3 330000 1900 5300 > 243 3 3 199000 1450 4100 > 243 2 2 165000 1000 9166 > 243 4 3 1399000 6500 4040 > 469 3 2 255000 1218 3630 > 226 2 2 325000 893 3620 > > > > Thank you very much for your help and support > > abou > ______________________ > AbouEl-Makarim Aboueissa, PhD > University of Southern Maine > Department of Mathematics and Statistics > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting- > guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
