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# 685 Class Note for CHEM C1260 at Purdue

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COURSE
PROF.
No professor available
TYPE
Class Notes
PAGES
5
WORDS
KARMA
25 ?

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This 5 page Class Notes was uploaded by an elite notetaker on Friday February 6, 2015. The Class Notes belongs to a course at Purdue University taught by a professor in Fall. Since its upload, it has received 30 views.

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Date Created: 02/06/15
Recursive Partitioning in R Randy Julian Lily Research Laboratories RPART libraryrpa rt rpartformula data NULL weights subset naaction narpa rt method model FALSE formula data method cost xFALSE yTRUE parms control cost a formula as in the lm39 function an optional data frame in which to interpret the variables named in the formula one of quotanova39 poisson39 39class39 or quot39exp39quot If method39 is missing then the routine tries to make an intellegent guess If y39 is a survival object then methodquotexp39quot is assumed if y39 has 2 columns then methodquotpoissonquot39 is assumed if y39 is a factor then method class39 is assumed othenNise method nova39 is assumed It is wisest to specifiy the method directly especially as more criteria are added to the function Alternatively method39 can be a list of functions named init39 split39 and eval39 a vector of nonnegative cosis one for each variable in the model Defaulis to one for all variables These are scalings to be applied when considering spliis so the improvement on splitting on a variable is divided by iis cost in deciding which split to choose Example Ex80r ExamC libraryrpart TrainClt readtablequottrainCdatquot namesTrainClt cquotxlquotquotx2quotquotyquot 50 xp lt seqminTrainCxl maxTrainCxl length np lt lengthxp yp lt seqminTrainCx2 maxTrainCx2 length 50 pt lt expandgridxl xp x2 yp Zrp lt rparty x1 x2 dataTrainC Zrpt lt predictZrp pt zprp lt Zrptl Zrpt2 plotTrainC l TrainC 2 xlab quotx1quot ylab quotx2quot colcodesTrainCyl titlequotRP TrainCquot contourxp yp matrixzprp up add T levels O labex O TrainCdat RP TrainC x1gt O4524 w x1gt 783 x1lt7281 a b x2lt 549 x2gt 0 06788 RP TrainC Splitting Rules n 100 node split n loss yval yprob denotes terminal node 1 root 100 50 a 05000000 05000000 2 gtlt1gt04523857 34 8 a 07647059 02352941 4 gtlt1gt3782989 11 0 a 10000000 00000000 5 gtlt1lt 3782989 23 8 a 06521739 03478261 10 gtlt1lt 1049347 15 3 a 08000000 02000000 11 gtlt1gt1049347 8 3 b 03750000 06250000 3 gtlt1lt 04523857 66 24 b 03636364 06363636 6 gtlt1lt 7281284 24 9 a 06250000 03750000 12 gtlt2lt 7548601 16 1 a 09375000 00625000 13 gtlt2gt7548601 8 0 b 00000000 10000000 7 gtlt1gt7281284 42 9 b 02142857 07857143 14 gtlt2gt006787892 8 2 a 07500000 02500000 15 gtlt2lt 006787892 34 3 b 00882353 09117647 x2 RP ExamC x1 gtltZgt 9974 Mlt gtltZlt 338 348 1gt71 n With More Data 1 root 5000 2500 a 0500000000 0500000000 2 X2lt 7337863 4499 2000 a 0555456768 0444543232 4 X2gt09974395 929 38 a 0959095802 0040904198 5 X2lt 09974395 3570 1608 b 0450420168 0549579832 10 X1lt 8347829 491 12 a 0975560081 0024439919 11 X1gt8347829 3079 1129 b 0366677493 0633322507 22 X1gt 1877823 1580 651 a 0587974684 0412025316 44 X1gt4846931 195 4 a 0979487179 0020512821 45 X1lt 4846931 1385 647 a 0532851986 0467148014 90 X2lt 2903657 568 151 a 0734154930 0265845070 91 X2gt2903657 817 321 b 0392900857 0607099143 182 X2gt05820954 301 144 a 0521594684 0478405316 364 X1lt 1601587 240 92 a 0616666667 0383333333 365 X1gt1601587 61 9 b 0147540984 0852459016 183 X2lt 05820954 516 164 b 0317829457 0682170543 23 X1lt 1877823 1499 200 b 0133422282 0866577718 3 X2gt7337863 501 1 b 0001996008 0998003992

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