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r:data [2018/12/19 11:38] – [Housing] hkimscilr:data [2023/12/07 07:18] (current) – hkimscil
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 +{{:r:repeated_measures_anova_eg.xlsx}}
 +{{:r:twoway.anova.by.hand.xlsx}}
 +{{:r:twoway.anova.by.hand.data.csv}}
 {{:r:tests_cor.csv}} {{:r:tests_cor.csv}}
-{{:r:housing.txt}} +{{:r:bottles.csv}} 
-{{r:bottles.csv}} +{{:r:dataset_anova_twoway_interactions.csv}} 
-{{r:dataset_anova_twoway_interactions.csv}} +{{:r:dataset_multipleRegression.csv}} 
-{{r:dataset_multipleRegression.csv}}+{{:r:sat.score.csv}} 
 +{{:r:medFactor.txt}} 
 +{{:r:SelectionExercise.csv}} 
 + 
 +{{:r:davis.women.club.csv}} 
 +{{:r:Turnover.csv}} 
 + 
 +{{:r:hsb2.csv}} 
 +{{:r:hsb2.rda}} 
 +<WRAP box> 
 +{{:r:worland5.csv}} : Motivating example 
 +Suppose you are a researcher studying the effects of student background on academic achievement. The lab recently finished collecting and uploading the dataset (worland5.csv) of students each with 9 observed variables: Motivation, Harmony, Stability, Negative Parental Psychology, SES, Verbal IQ, Reading, Arithmetic and Spelling. The principal investigator hypothesizes three latent constructs Adjustment, Risk, Achievement measured with its corresponding to the following codebook mapping: 
 + 
 +Adjustment 
 +  * motiv Motivation 
 +  * harm Harmony 
 +  * stabi Stability 
 + 
 +Risk 
 +  * ppsych (Negative) Parental Psychology 
 +  * ses SES 
 +  * verbal Verbal IQ 
 + 
 +Achievement 
 +  * read Reading 
 +  * arith Arithmetic 
 +  * spell Spelling 
 +</WRAP> 
 +{{:r:PayDeterminants.csv}} 
 + 
 +{{:r:active.csv}} 
 +{{:r:active.full.csv}} 
 +{{:r:active.miss.csv}} 
 +{{:r:active.txt}} 
 +{{:r:college.csv}} 
 +{{:r:csvdata.csv}} 
 +{{:r:csvdata.xlsx}} 
 +{{:r:depress.csv}} 
 +{{:r:example.php}} 
 +{{:r:gpa.csv}} 
 +{{:r:gpa.txt}} 
 +{{:r:GrantWhite.csv}} 
 +{{:r:GWcorr.csv}} 
 +{{:r:LeeBryk.csv}} 
 +{{:r:mamm.csv}} 
 +{{:r:mathmod.csv}} 
 +{{:r:nlsy.csv}} 
 +{{:r:Pasteur.csv}} 
 +{{:r:spssdata.sav}} 
 + 
 +{{:r:parenthood.Rdata}} 
 + 
 +{{:r:LungCapData.txt}} 
 + 
 + 
 +====== VR hinderance ====== 
 +{{:r:vr.test.csv}} 
 +====== Path A ====== 
 +{{:r:path4.csv}} 
 +{{:r:ex42.csv}} 
 +{{:r:path analysis dataN BinW.csv}} 
 +{{:r:PlannedBehavior.csv}} 
 +{{:r:miss1.csv}} 
 +{{:r:pathanalysis.mike.crowson.r}} 
 + 
 +====== Movies ====== 
 +Please see https://grouplens.org/datasets/movielens/ 
 + 
 +small data set 
 + 
 +{{:r:ms.links.csv}} 0.2MB 
 +{{:r:ms.movies.csv}} 0.5MB 
 +{{:r:ms.ratings.csv}} 2.4MB 
 +{{:r:ms.readme.txt}} 8.1kB Upload denied. This file extension is forbidden! 
 +{{:r:ms.tags.csv}} 0.1MB
  
 ====== smoker ====== ====== smoker ======
Line 90: Line 167:
 </code> </code>
 ====== Housing ====== ====== Housing ======
 +<code>housing <- read.table("http://commres.net/wiki/_export/code/r/data?codeblock=1", header=T, sep="\t") 
 +</code> 
 +{{:r:housing.txt}}
 <code - housing.dat> <code - housing.dat>
 sqft price City bedrooms baths sqft price City bedrooms baths
Line 178: Line 257:
  
 </code> </code>
 +====== Bostonhousing ======
 +<code>install.packages("mlbench")
 +library(mlbench)</code>
 +Housing data contains 506 census tracts of Boston from the 1970 census. The dataframe BostonHousing contains the original data by Harrison and Rubinfeld (1979), the dataframe BostonHousing2 the corrected version with additional spatial information.
 +
 +You can include this data by installing mlbench library or download the dataset.The data has following features, medv being the target variable:
 +<code>
 +crim - per capita crime rate by town
 +zn - proportion of residential land zoned for lots over 25,000 sq.ft
 +indus - proportion of non-retail business acres per town
 +chas - Charles River dummy variable (= 1 if tract bounds river; 0 otherwise)
 +nox - nitric oxides concentration (parts per 10 million)
 +rm - average number of rooms per dwelling
 +age - proportion of owner-occupied units built prior to 1940
 +dis - weighted distances to five Boston employment centres
 +rad - index of accessibility to radial highways
 +tax - full-value property-tax rate per USD 10,000
 +ptratio- pupil-teacher ratio by town
 +b 1000(B - 0.63)^2, where B is the proportion of blacks by town
 +lstat - percentage of lower status of the population
 +medv - median value of owner-occupied homes in USD 1000’s
 +</code>
 +
 +<code>data(BostonHousing)
 +housing <- BostonHousing
 +str(housing)</code>
 +
 +====== CPS_85_Wages ======
 +see http://lib.stat.cmu.edu/datasets/CPS_85_Wages
 +{{:cps_85_wages.csv}}
 +<code>
 +Variable names in order from left to right:
 + EDUCATION: Number of years of education.
 + SOUTH: Indicator variable for Southern Region (1=Person lives in South, 0=Person lives elsewhere).
 + SEX: Indicator variable for sex (1=Female, 0=Male).
 + EXPERIENCE: Number of years of work experience.
 + UNION: Indicator variable for union membership (1=Union member, 0=Not union member).
 + WAGE: Wage (dollars per hour).
 + AGE: Age (years).
 + RACE: Race (1=Other, 2=Hispanic, 3=White).
 + OCCUPATION: Occupational category (1=Management, 2=Sales, 3=Clerical, 4=Service, 5=Professional, 6=Other).
 + SECTOR: Sector (0=Other, 1=Manufacturing, 2=Construction).
 + MARR: Marital Status (0=Unmarried,  1=Married)
 +</code>
 +<code csv cps_85_wages.csv>
 +education south sex experience union wage age race occupation sector marr
 +8 0 1 21 0 5.1 35 2 6 1 1
 +9 0 1 42 0 4.95 57 3 6 1 1
 +12 0 0 1 0 6.67 19 3 6 1 0
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 +12 0 0 17 0 7.5 35 3 6 0 1
 +13 0 0 9 1 13.07 28 3 6 0 0
 +10 1 0 27 0 4.45 43 3 6 0 0
 +12 0 0 9 0 19.47 27 3 6 0 0
 +16 0 0 11 0 13.28 33 3 6 1 1
 +12 0 0 9 0 8.75 27 3 6 0 0
 +12 0 0 17 1 11.35 35 3 6 0 1
 +12 0 0 19 1 11.5 37 3 6 1 0
 +8 1 0 27 0 6.5 41 3 6 0 1
 +9 1 0 30 1 6.25 45 3 6 0 0
 +9 1 0 29 0 19.98 44 3 6 0 1
 +12 0 0 37 0 7.3 55 3 6 2 1
 +7 1 0 44 0 8 57 3 6 0 1
 +12 0 0 26 1 22.2 44 3 6 1 1
 +11 0 0 16 0 3.65 33 3 6 0 0
 +12 0 0 33 0 20.55 51 3 6 0 1
 +12 0 1 16 1 5.71 34 3 6 1 1
 +7 0 0 42 1 7 55 1 6 1 1
 +12 0 0 9 0 3.75 27 3 6 0 0
 +11 1 0 14 0 4.5 31 1 6 0 1
 +12 0 0 23 0 9.56 41 3 6 0 1
 +6 1 0 45 0 5.75 57 3 6 1 1
 +12 0 0 8 0 9.36 26 3 6 1 1
 +10 0 0 30 0 6.5 46 3 6 0 1
 +12 0 1 8 0 3.35 26 3 6 1 1
 +12 0 0 8 0 4.75 26 3 6 0 1
 +14 0 0 13 0 8.9 33 3 6 0 0
 +12 1 1 46 0 4 64 3 6 0 0
 +8 0 0 19 0 4.7 33 3 6 0 1
 +17 1 1 1 0 5 24 3 6 0 0
 +12 0 0 19 0 9.25 37 3 6 1 0
 +12 0 0 36 0 10.67 54 1 6 0 0
 +12 1 0 20 0 7.61 38 1 6 2 1
 +12 0 0 35 1 10 53 1 6 2 1
 +12 0 0 3 0 7.5 21 3 6 0 0
 +14 1 0 10 0 12.2 30 3 6 1 1
 +12 0 0 0 0 3.35 18 3 6 0 0
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 +13 0 0 0 0 4 19 3 6 0 0
 +12 0 1 11 0 5.5 29 3 6 1 0
 +13 0 0 17 0 8.4 36 3 6 1 0
 +10 0 0 13 0 6.75 29 3 6 1 1
 +12 0 0 22 1 10 40 1 6 1 0
 +12 0 1 28 0 5 46 3 6 1 1
 +11 0 0 17 0 6.5 34 3 6 0 0
 +12 0 0 24 1 10.75 42 3 6 2 1
 +3 1 0 55 0 7 64 2 6 1 1
 +12 1 0 3 0 11.43 21 3 6 2 0
 +12 0 0 6 1 4 24 1 6 1 0
 +10 0 0 27 0 9 43 3 6 2 1
 +12 1 0 19 1 13 37 1 6 1 1
 +12 0 0 19 1 12.22 37 3 6 2 1
 +12 0 1 38 0 6.28 56 3 6 1 1
 +10 1 0 41 1 6.75 57 1 6 1 1
 +11 1 0 3 0 3.35 20 1 6 1 0
 +14 0 0 20 1 16 40 3 6 0 1
 +10 0 0 15 0 5.25 31 3 6 0 1
 +8 1 0 8 0 3.5 22 2 6 1 1
 +8 1 1 39 0 4.22 53 3 6 1 1
 +6 0 1 43 1 3 55 2 6 1 1
 +11 1 1 25 1 4 42 3 6 1 1
 +12 0 0 11 1 10 29 3 6 0 1
 +12 0 0 12 0 5 30 1 6 0 1
 +12 1 0 35 1 16 53 3 6 1 1
 +14 0 0 14 0 13.98 34 3 6 0 0
 +12 0 0 16 1 13.26 34 3 6 0 1
 +10 0 1 44 1 6.1 60 3 6 1 0
 +16 1 1 13 0 3.75 35 3 6 0 0
 +13 0 0 8 1 9 27 1 6 1 0
 +12 0 0 13 0 9.45 31 3 6 1 0
 +11 0 0 18 1 5.5 35 3 6 0 1
 +12 0 1 18 0 8.93 36 3 6 0 1
 +12 1 1 6 0 6.25 24 3 6 0 0
 +11 1 0 37 1 9.75 54 3 6 1 1
 +12 1 0 2 0 6.73 20 3 6 1 1
 +12 0 0 23 0 7.78 41 3 6 1 1
 +12 0 0 1 0 2.85 19 3 6 0 0
 +12 1 1 10 0 3.35 28 1 6 1 1
 +12 0 0 23 0 19.98 41 3 6 1 1
 +12 0 0 8 1 8.5 26 1 6 0 1
 +15 0 1 9 0 9.75 30 3 6 1 1
 +12 0 0 33 1 15 51 3 6 2 1
 +12 0 1 19 0 8 37 3 6 1 1
 +13 0 0 14 0 11.25 33 3 6 0 1
 +11 0 0 13 1 14 30 3 6 0 1
 +10 0 0 12 0 10 28 3 6 2 1
 +12 0 0 8 0 6.5 26 3 6 0 0
 +12 0 0 23 0 9.83 41 3 6 1 1
 +14 0 1 13 0 18.5 33 3 6 1 0
 +12 1 0 9 0 12.5 27 3 6 0 1
 +14 0 0 21 1 26 41 3 6 0 1
 +5 1 0 44 0 14 55 3 6 2 1
 +12 0 0 4 1 10.5 22 3 6 0 1
 +8 0 0 42 0 11 56 3 6 1 1
 +13 0 0 10 1 12.47 29 3 6 0 1
 +12 0 0 11 0 12.5 29 3 6 2 0
 +12 0 0 40 1 15 58 3 6 2 1
 +12 0 0 8 0 6 26 3 6 2 0
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 +11 0 0 11 0 3.75 28 3 6 2 0
 +12 0 0 12 1 12.57 30 3 6 0 1
 +8 0 1 22 0 6.88 36 2 6 0 1
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 +12 0 1 15 0 4.5 33 3 6 1 0
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 +12 1 0 5 0 6.5 23 3 6 1 0
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 +12 0 0 13 0 8.5 31 3 6 1 1
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r/data.1545187115.txt.gz · Last modified: 2018/12/19 11:38 by hkimscil
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