library (mosaicCalc)
## Loading required package: mosaic
## Registered S3 method overwritten by 'mosaic':
##   method                           from   
##   fortify.SpatialPolygonsDataFrame ggplot2
## 
## The 'mosaic' package masks several functions from core packages in order to add 
## additional features.  The original behavior of these functions should not be affected by this.
## 
## Attaching package: 'mosaic'
## The following objects are masked from 'package:dplyr':
## 
##     count, do, tally
## The following object is masked from 'package:Matrix':
## 
##     mean
## The following object is masked from 'package:ggplot2':
## 
##     stat
## The following objects are masked from 'package:stats':
## 
##     binom.test, cor, cor.test, cov, fivenum, IQR, median, prop.test,
##     quantile, sd, t.test, var
## The following objects are masked from 'package:base':
## 
##     max, mean, min, prod, range, sample, sum
## Loading required package: mosaicCore
## 
## Attaching package: 'mosaicCore'
## The following objects are masked from 'package:dplyr':
## 
##     count, tally
## 
## Attaching package: 'mosaicCalc'
## The following object is masked from 'package:stats':
## 
##     D
Housing = read.csv("http://www.mosaic-web.org/go/datasets/Income-Housing.csv")
Housing
##   Income IncomePercentile CrimeProblem AbandonedBuildings IncompleteBathroom
## 1   3914                5         39.6               12.6                2.6
## 2  10817               15         32.4               10.0                3.3
## 3  21097               30         26.7                7.1                2.3
## 4  34548               50         23.9                4.1                2.1
## 5  51941               70         21.4                2.3                2.4
## 6  72079               90         19.9                1.2                2.0
##   NoCentralHeat ExposedWires AirConditioning TwoBathrooms MotorVehicle
## 1          32.3          5.5            52.3         13.9         57.3
## 2          34.7          5.0            55.4         16.9         82.1
## 3          28.1          2.4            61.7         24.8         91.7
## 4          21.4          2.1            69.8         39.6         97.0
## 5          14.9          1.4            73.9         51.2         98.0
## 6           9.6          1.0            76.7         73.2         99.0
##   TwoVehicles ClothesWasher ClothesDryer Dishwasher Telephone
## 1        17.3          57.8         37.5       16.5      68.7
## 2        34.3          61.4         38.0       16.0      79.7
## 3        56.4          78.6         62.0       25.8      90.8
## 4        75.3          84.4         75.2       41.6      96.5
## 5        86.6          92.8         88.9       58.2      98.3
## 6        92.9          97.1         95.6       79.7      99.5
##   DoctorVisitsUnder7 DoctorVisits7To18 NoDoctorVisitUnder7 NoDoctorVisit7To18
## 1                3.6               2.6                13.7               31.2
## 2                3.7               2.6                14.9               32.0
## 3                3.6               2.1                13.8               31.4
## 4                4.0               2.3                10.4               27.3
## 5                4.0               2.5                 7.7               23.9
## 6                4.7               3.1                 5.3               17.5

Housing ## Income IncomePercentile CrimeProblem AbandonedBuildings IncompleteBathroom ## 1 3914 5 39.6 12.6 2.6 ## 2 10817 15 32.4 10.0 3.3 ## 3 21097 30 26.7 7.1 2.3 ## 4 34548 50 23.9 4.1 2.1 ## 5 51941 70 21.4 2.3 2.4 ## 6 72079 90 19.9 1.2 2.0 ## NoCentralHeat ExposedWires AirConditioning TwoBathrooms MotorVehicle ## 1 32.3 5.5 52.3 13.9 57.3 ## 2 34.7 5.0 55.4 16.9 82.1 ## 3 28.1 2.4 61.7 24.8 91.7 ## 4 21.4 2.1 69.8 39.6 97.0 ## 5 14.9 1.4 73.9 51.2 98.0 ## 6 9.6 1.0 76.7 73.2 99.0 ## TwoVehicles ClothesWasher ClothesDryer Dishwasher Telephone ## 1 17.3 57.8 37.5 16.5 68.7 ## 2 34.3 61.4 38.0 16.0 79.7 ## 3 56.4 78.6 62.0 25.8 90.8 ## 4 75.3 84.4 75.2 41.6 96.5 ## 5 86.6 92.8 88.9 58.2 98.3 ## 6 92.9 97.1 95.6 79.7 99.5 ## DoctorVisitsUnder7 DoctorVisits7To18 NoDoctorVisitUnder7 NoDoctorVisit7To18 ## 1 3.6 2.6 13.7 31.2 ## 2 3.7 2.6 14.9 32.0 ## 3 3.6 2.1 13.8 31.4 ## 4 4.0 2.3 10.4 27.3 ## 5 4.0 2.5 7.7 23.9 ## 6 4.7 3.1 5.3 17.5 ## Income IncomePercentile CrimeProblem AbandonedBuildings ## 1 3914 5 39.6 12.6 ## 2 10817 15 32.4 10.0 ## 3 21097 30 26.7 7.1 ## 4 34548 50 23.9 4.1 ## 5 51941 70 21.4 2.3 ## 6 72079 90 19.9 1.2 names(Housing) ## [1] “Income” “IncomePercentile” “CrimeProblem” ## [4] “AbandonedBuildings” “IncompleteBathroom” “NoCentralHeat” ## [7] “ExposedWires” “AirConditioning” “TwoBathrooms” ## [10] “MotorVehicle” “TwoVehicles” “ClothesWasher” ## [13] “ClothesDryer” “Dishwasher” “Telephone” ## [16] “DoctorVisitsUnder7” “DoctorVisits7To18” “NoDoctorVisitUnder7” ## [19] “NoDoctorVisit7To18” ## [1] “Income” “IncomePercentile” “CrimeProblem” ## [4] “AbandonedBuildings” “IncompleteBathroom” “NoCentralHeat” ## [7] “ExposedWires” “AirConditioning” “TwoBathrooms” ## [10] “MotorVehicle” “TwoVehicles” “ClothesWasher” ## [13] “ClothesDryer” “Dishwasher” “Telephone” ## [16] “DoctorVisitsUnder7” “DoctorVisits7To18” “NoDoctorVisitUnder7” ## [19] “NoDoctorVisit7To18” library(readr) write.csv(Housing,“…houstingup2”)