사용할 데이터는 Revolution 폴더안의 Sample Data로, "mortDefaultSmall2009"라는 이름의 csv파일이다.
데이터의 행 수는 총 10000개 이고, 'creditScore', 'houseAge', 'yearsEmploy', 'ccDebt', 'year', 'default' 로 총 6개의 변수(열)를 가지고 있다.
현재 사용한 데이터는 2009년 데이터이지만, 실제는 2000년부터 2009년까지 10년간의 sample data가 있다.
뒤에 데이터 합치기와 같은 부분에서 다른 연도의 데이터도 사용될 것이다.
# (1-1)data의 위치지정 Revolution R을 다운할 시, 자동으로 생성되는 Sample
# data중 하나인 데이터로, sampleData폴더의 'mortDefaultSmall2009'
# csv파일을 사용
text_mort <- "C:/Revolution/R-Enterprise-6.1/R-2.14.2/library/RevoScaleR/SampleData/mortDefaultSmall2009.csv"
# (1-2)rxImport를 사용한 data import
data_mort <- rxImport(inData = text_mort, outFile = "data_mort.xdf", overwrite = TRUE)
# rxCube와 rxCrossTabs은 종속변수 쪽은 연속형 변수가, 독립변수에는
# factor형식의 데이터가 들어가야 함.
# (1-3)rxGetVarInfo를 활용한 변수속성 확인
rxGetVarInfo(data_mort)
## Var 1: creditScore, Type: integer, Low/High: (499, 872)
## Var 2: houseAge, Type: integer, Low/High: (0, 40)
## Var 3: yearsEmploy, Type: integer, Low/High: (0, 14)
## Var 4: ccDebt, Type: integer, Low/High: (0, 12518)
## Var 5: year, Type: integer, Low/High: (2009, 2009)
## Var 6: default, Type: integer, Low/High: (0, 1)
ccDebt는 종속변수로 연속형 변수로 만들기 위해 as.numeric을 해주었다.
creditScore와 houseAge는 독립변수이므로, as.factor를 사용하여, factor 타입의 변수로 해주었다.
# (1-4)rxCrossTabs를 이용한 교차테이블 생성
rxCrossTabs(as.numeric(ccDebt) ~ as.factor(creditScore):as.factor(houseAge),
data = data_mort)
## Rows Read: 10000, Total Rows Processed: 10000, Total Chunk Time: 0.025 seconds
## Computation time: 0.035 seconds.
## Call:
## rxCrossTabs(formula = as.numeric(ccDebt) ~ as.factor(creditScore):as.factor(houseAge),
## data = data_mort)
##
## Cross Tabulation Results for: as.numeric(ccDebt) ~
## as.factor(creditScore):as.factor(houseAge)
## File name: C:\Users\choi\Desktop\data_mort.xdf
## Dependent variable(s): as.numeric(ccDebt)
## Number of valid observations: 10000
## Number of missing observations: 0
## Statistic: sums
##
## as.numeric(ccDebt) (sums):
## as.factor.houseAge.
## as.factor.creditScore. 0 1 2 3 4 5 6 7
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## as.factor.houseAge.
## as.factor.creditScore. 8 9 10 11 12 13 14 15
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## 742 3643 0 0 0 4252 6557 0 0 0
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## 745 0 7200 0 6085 0 0 0 6181 0
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## 759 7250 3747 2688 0 3471 0 0 0 0
## 760 10166 4786 8542 0 6685 0 0 0 0
## 761 0 10855 12639 0 0 3348 0 0 0
## 762 4467 3458 0 0 0 0 0 0 4361
## 763 0 4287 4435 0 0 0 0 0 0
## 764 4779 7827 0 2518 0 13923 0 0 0
## 765 615 1615 2491 0 0 0 0 0 0
## 766 6782 12251 5824 1102 0 0 0 0 0
## 767 11246 7768 0 0 0 0 0 0 0
## 768 0 0 0 0 6263 0 0 0 0
## 769 0 7925 6858 0 0 0 0 0 0
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## 771 0 0 5331 2437 0 0 0 3073 0
## 772 0 0 3948 0 3528 0 0 0 0
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## 782 0 0 4567 0 0 3810 0 0 0
## 783 4035 0 6882 0 0 0 0 0 0
## 784 4345 0 0 7282 0 0 2075 6129 0
## 785 4211 0 0 0 0 0 0 0 6218
## 786 7088 3939 0 0 0 0 0 2363 0
## 787 0 0 0 0 3935 0 0 0 0
## 788 0 0 0 0 0 0 0 0 0
## 789 12558 3813 3668 0 0 0 0 0 0
## 790 0 0 0 0 0 0 0 0 0
## 791 0 0 0 0 0 0 0 0 0
## 792 0 0 7934 0 0 0 5700 0 0
## 793 0 15801 4452 0 0 5030 0 0 0
## 794 0 0 0 0 0 0 0 0 0
## 795 0 4757 0 0 0 0 0 0 0
## 796 2414 0 0 0 0 0 0 0 0
## 797 0 4218 0 0 0 0 0 0 0
## 798 0 0 0 0 0 0 0 0 0
## 799 4581 0 0 0 0 0 0 3574 0
## 800 0 0 0 0 0 0 0 0 0
## 801 0 0 0 0 0 0 0 0 0
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## 803 0 0 6733 0 0 8303 0 0 0
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## 808 0 10555 0 0 0 0 0 0 0
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## 810 0 0 0 0 0 0 0 0 0
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## 812 0 0 0 6459 0 0 0 0 0
## 813 0 0 0 0 2573 0 0 0 0
## 814 0 0 0 0 0 0 0 0 0
## 815 0 0 0 0 0 0 0 0 0
## 816 0 0 0 0 0 0 0 0 0
## 817 0 0 0 0 0 0 0 0 0
## 818 0 0 0 0 0 0 0 0 0
## 819 0 1573 0 0 0 0 0 0 0
## 820 0 0 5240 0 0 0 0 0 0
## 821 0 0 0 0 0 0 0 0 0
## 822 13778 0 0 0 0 0 0 0 0
## 823 0 0 0 0 0 0 0 0 0
## 824 0 0 0 0 0 0 0 0 0
## 825 0 0 0 0 0 0 0 0 0
## 826 0 0 0 7034 0 0 0 0 0
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## 828 0 0 0 0 0 0 0 0 0
## 829 0 0 0 0 0 0 0 0 0
## 831 0 0 0 0 0 0 0 0 0
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rxCrossTabs(formula, data, pweights = NULL, fweights = NULL, means = FALSE,
marginals = FALSE, cube = FALSE, rowSelection = NULL,
transforms = NULL, transformObjects = NULL,
transformFunc = NULL, transformVars = NULL,
transformPackages = NULL, transformEnvir = NULL,
removeZeroCounts = FALSE, returnXtabs = FALSE, na.rm = FALSE,
blocksPerRead = rxGetOption(“blocksPerRead”),
reportProgress = rxGetOption(“reportProgress”), verbose = 0,
computeContext = rxGetOption(“computeContext”), …)
Hankuk University of Foreign Studies. Dept of Statistics. Daewoo Choi Lab. Yeeseul Han.
한국외국어대학교 통계학과 최대우 연구실 한이슬
e-mail : han.lolove17@gmail.com