{{:r:job_placement_data.csv}} {{:r:repeated_measures_anova_eg.xlsx}} {{:r:twoway.anova.by.hand.xlsx}} {{:r:twoway.anova.by.hand.data.csv}} {{:r:tests_cor.csv}} {{:r:bottles.csv}} {{:r:dataset_anova_twoway_interactions.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}} {{: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 {{: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.csv}} ====== basketball ====== {{baskball.csv}} ====== donuts ====== {{donuts.txt}} ======= chickwts ======= {{chickwts.dat}} weight feed 1 179 horsebean 2 160 horsebean 3 136 horsebean 4 227 horsebean 5 217 horsebean 6 168 horsebean 7 108 horsebean 8 124 horsebean 9 143 horsebean 10 140 horsebean 11 309 linseed 12 229 linseed 13 181 linseed 14 141 linseed 15 260 linseed 16 203 linseed 17 148 linseed 18 169 linseed 19 213 linseed 20 257 linseed 21 244 linseed 22 271 linseed 23 243 soybean 24 230 soybean 25 248 soybean 26 327 soybean 27 329 soybean 28 250 soybean 29 193 soybean 30 271 soybean 31 316 soybean 32 267 soybean 33 199 soybean 34 171 soybean 35 158 soybean 36 248 soybean 37 423 sunflower 38 340 sunflower 39 392 sunflower 40 339 sunflower 41 341 sunflower 42 226 sunflower 43 320 sunflower 44 295 sunflower 45 334 sunflower 46 322 sunflower 47 297 sunflower 48 318 sunflower 49 325 meatmeal 50 257 meatmeal 51 303 meatmeal 52 315 meatmeal 53 380 meatmeal 54 153 meatmeal 55 263 meatmeal 56 242 meatmeal 57 206 meatmeal 58 344 meatmeal 59 258 meatmeal 60 368 casein 61 390 casein 62 379 casein 63 260 casein 64 404 casein 65 318 casein 66 352 casein 67 359 casein 68 216 casein 69 222 casein 70 283 casein 71 332 casein ====== Housing ====== housing <- read.table("http://commres.net/wiki/_export/code/r/data?codeblock=1", header=T, sep="\t") {{:r:housing.txt}} sqft price City bedrooms baths 3392 339000 Dublin 3 2.1 4100 899900 pleasanton 4 3 3200 448641 Clayton 5 4 1436 239999 Moraga 4 3 1944 377500 Antioch 3 2 1500 299900 Danville 3 2.5 1700 265000 El Dorado Hills 4 3 2507 449000 Shingle Springs 4 3 1580 439950 McKinleyville 3 2 1500 699888 Marina 4 2 2705 1250000 Roseville 3 2 1715 439000 Rocklin 4 3 2951 779900 Folsom 3 3 1100 150000 Elk Grove 5 3 1700 229500 Central San Francisco 3 2 3134 700000 Central San Francisco 2 1 2640 849000 Tracy 5 3 1076 89900 Redwood City 3 2 3012 639000 Redwood City 3 2.5 2454 379000 Saratoga 5 3 3134 639999 Morgan Hill 5 3 1067 569000 Mountain View 2 1 825 799000 Benicia 3 2 1446 330000 Rohnert Park City 4 3.1 2652 635000 modesto 3 1 1000 375000 modesto 3 2 1992 499950 Salida 3 2.5 893 179000 Oxnard 2 1 989 180000 Oxnard 2 1.5 1117 240000 Oxnard 3 1.75 2203 408000 Oxnard 4 2.5 1230 349900 Camarillo 3 2 1686 378000 Camarillo 4 2.5 1966 439000 Camarillo 5 2 1170 225000 Santa Cruz 2 2 2846 1250000 Santa Cruz 4 3 2600 899000 Santa Cruz 4 4 2150 999000 Montecito 3 2 2582 1099000 Goleta 5 3 1561 650000 Goleta 3 2 1424 134900 Carpinteria 2 2 1235 199950 Carpinteria 3 2 3750 1250000 San Luis Obispo 4 3.75 2000 898000 San Luis Obispo 2 1.75 1400 252900 Paso Robles 3 2 1800 286900 Paso Robles 4 2 1800 359000 Atascadero 3 2 1000 379000 Morro Bay 2 1 3160 769000 Cambria 3 4 1122 184900 La Mirada 3 2 1743 235000 La Mirada 4 2 3800 650000 La Mirada 5 5 756 352000 Redondo Beach 2 1 1561 205000 Chino 4 2.5 1400 209900 Chino 3 2 2424 287500 Chino 4 3 1307 245000 Santa Clarita 3 2 1776 329999 Santa Clarita 4 2.5 2721 445990 Santa Clarita 5 3 3766 792000 Santa Clarita 4 3 3000 474900 Lake Forest 6 4 3854 639000 Lake Forest 4 2.5 2800 839000 Seal Beach 5 3 3800 949750 Seal Beach 6 5.5 1492 469900 Seal Beach 3 2 1512 349000 Tustin 2 1.5 1597 399000 Costa Mesa 3 2 1124 150000 Corona 3 1 2100 284900 Corona 5 3 1828 285000 Corona 4 2 3385 565000 Corona 5 3 1680 139900 Canyon Lake 3 2 3390 312500 Canyon Lake 5 3 3694 799000 Carmel Valley 5 4.5 1735 525000 Carmel Valley 3 2 3800 1150000 Carmel Valley 4 3 1500 429000 Carmel Valley 2 1.5 959 229000 Clairmont 1 1.5 4400 799000 Clairmont 5 2.5 1600 460000 Clairmont 4 2.5 1347 215000 Oceanside 2 2 2154 325000 Oceanside 4 2.5 2669 699000 Oceanside 5 3 ====== Bostonhousing ====== install.packages("mlbench") library(mlbench) 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: 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 data(BostonHousing) housing <- BostonHousing str(housing) ====== CPS_85_Wages ====== see http://lib.stat.cmu.edu/datasets/CPS_85_Wages {{:cps_85_wages.csv}} 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) 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 12 0 0 4 0 4 22 3 6 0 0 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 14 1 0 14 1 11 34 3 6 1 1 12 0 0 14 0 12 32 3 6 1 1 9 0 1 16 0 4.85 31 3 6 1 1 13 1 0 8 0 4.3 27 3 6 2 0 7 1 1 15 0 6 28 3 6 1 1 16 0 0 12 0 15 34 3 6 1 1 10 1 0 13 0 4.85 29 3 6 0 0 8 0 0 33 1 9 47 3 6 0 1 12 0 0 9 0 6.36 27 3 6 1 1 12 0 0 7 0 9.15 25 3 6 0 1 16 0 0 13 1 11 35 3 6 1 1 12 0 1 7 0 4.5 25 3 6 1 1 12 0 1 16 0 4.8 34 3 6 1 1 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 11 1 0 29 0 9.5 46 3 6 2 1 16 0 0 3 1 5 25 3 6 0 0 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 12 0 0 12 0 5.5 30 3 6 0 1 12 0 0 7 1 7 25 3 6 0 1 12 0 1 15 0 4.5 33 3 6 1 0 12 0 0 28 0 6.5 46 3 6 0 1 12 1 0 20 1 12 38 3 6 1 1 12 1 0 6 0 5 24 3 6 2 0 12 1 0 5 0 6.5 23 3 6 1 0 9 1 1 30 0 6.8 45 3 6 1 1 13 0 0 18 0 8.75 37 3 6 0 1 12 1 1 6 0 3.75 24 1 6 1 1 12 1 0 16 0 4.5 34 2 6 0 0 12 1 0 1 1 6 19 2 6 0 0 12 0 0 3 0 5.5 21 3 6 1 0 12 0 0 8 0 13 26 3 6 0 1 14 0 0 2 0 5.65 22 3 6 1 0 9 0 0 16 0 4.8 31 1 6 1 0 10 1 0 9 0 7 25 3 6 2 1 12 0 0 2 0 5.25 20 3 6 0 0 7 1 0 43 0 3.35 56 3 6 1 1 9 0 0 38 0 8.5 53 3 6 1 1 12 0 0 9 0 6 27 3 6 0 1 12 1 0 12 0 6.75 30 3 6 0 1 12 0 0 18 0 8.89 36 3 6 1 1 11 0 0 15 1 14.21 32 3 6 1 0 11 1 0 28 1 10.78 45 1 6 2 1 10 1 0 27 1 8.9 43 3 6 2 1 12 1 0 38 0 7.5 56 3 6 0 1 12 0 1 3 0 4.5 21 3 6 1 0 12 0 0 41 1 11.25 59 3 6 0 1 12 1 0 16 1 13.45 34 3 6 0 1 13 1 0 7 0 6 26 3 6 1 1 6 1 1 33 0 4.62 45 1 6 1 0 14 0 0 25 0 10.58 45 3 6 1 1 12 1 0 5 0 5 23 3 6 0 1 14 1 0 17 0 8.2 37 1 6 0 0 12 1 0 1 0 6.25 19 3 6 0 0 12 0 0 13 0 8.5 31 3 6 1 1 16 0 0 18 0 24.98 40 3 1 0 1 14 1 0 21 0 16.65 41 3 1 0 1 14 0 0 2 0 6.25 22 3 1 0 0 12 1 1 4 0 4.55 22 2 1 0 0 12 1 1 30 0 11.25 48 2 1 0 1 13 0 0 32 0 21.25 51 3 1 0 0 17 0 1 13 0 12.65 36 3 1 0 1 12 0 0 17 0 7.5 35 3 1 0 0 14 0 1 26 0 10.25 46 3 1 0 1 16 0 0 9 0 3.35 31 3 1 0 0 16 0 0 8 0 13.45 30 1 1 0 0 15 0 0 1 1 4.84 22 3 1 0 1 17 1 0 32 0 26.29 55 3 1 0 1 12 0 1 24 0 6.58 42 3 1 0 1 14 0 1 1 0 44.5 21 3 1 0 0 12 0 0 42 0 15 60 3 1 1 1 16 0 1 3 0 11.25 25 1 1 1 0 12 0 1 32 0 7 50 3 1 0 1 14 0 0 22 0 10 42 1 1 0 0 16 0 0 18 0 14.53 40 3 1 0 1 18 0 1 19 0 20 43 3 1 0 1 15 0 0 12 0 22.5 33 3 1 0 1 12 0 1 42 0 3.64 60 3 1 0 1 12 1 0 34 0 10.62 52 3 1 0 1 18 0 0 29 0 24.98 53 3 1 0 1 16 1 0 8 0 6 30 3 1 0 0 18 0 0 13 0 19 37 3 1 1 0 16 0 0 10 0 13.2 32 3 1 0 0 16 0 0 22 0 22.5 44 3 1 0 1 16 1 0 10 0 15 32 3 1 0 1 17 0 1 15 0 6.88 38 3 1 0 1 12 0 0 26 0 11.84 44 3 1 0 1 14 0 0 16 0 16.14 36 3 1 0 0 18 0 1 14 0 13.95 38 3 1 0 1 12 0 1 38 0 13.16 56 3 1 0 1 12 1 0 14 0 5.3 32 1 1 0 1 12 0 1 7 0 4.5 25 3 1 0 1 18 1 1 13 0 10 37 3 1 0 0 10 0 0 20 0 10 36 3 1 0 1 16 0 0 7 1 10 29 2 1 0 1 16 0 1 26 0 9.37 48 3 1 0 1 16 0 0 14 0 5.8 36 3 1 0 1 13 0 0 36 0 17.86 55 3 1 0 0 12 0 0 24 0 1 42 3 1 0 1 14 1 0 41 0 8.8 61 3 1 0 1 16 0 0 7 0 9 29 1 1 0 1 17 1 0 14 0 18.16 37 3 1 0 0 12 1 1 1 0 7.81 19 3 1 0 0 16 0 1 6 0 10.62 28 3 1 1 1 12 0 1 3 0 4.5 21 3 1 0 1 15 0 0 31 0 17.25 52 3 1 0 1 13 0 1 14 0 10.5 33 3 1 1 1 14 0 1 13 0 9.22 33 3 1 0 1 16 0 0 26 1 15 48 1 1 1 1 18 0 0 14 0 22.5 38 3 1 0 1 13 0 1 33 0 4.55 52 3 2 0 1 12 0 0 16 0 9 34 3 2 0 1 18 0 0 10 0 13.33 34 3 2 0 1 14 0 0 22 0 15 42 3 2 0 0 14 0 0 2 0 7.5 22 3 2 0 0 12 1 1 29 0 4.25 47 3 2 0 1 12 0 0 43 0 12.5 61 3 2 1 1 12 0 1 5 0 5.13 23 3 2 0 1 16 1 1 14 0 3.35 36 1 2 0 1 12 1 0 28 0 11.11 46 3 2 0 1 11 1 1 25 0 3.84 42 1 2 0 1 12 0 1 45 0 6.4 63 3 2 0 1 14 1 0 5 0 5.56 25 3 2 0 0 12 1 0 20 0 10 38 3 2 1 1 16 0 1 6 0 5.65 28 3 2 0 1 16 0 0 16 0 11.5 38 3 2 0 1 11 0 1 33 0 3.5 50 3 2 0 1 13 1 1 2 0 3.35 21 3 2 0 1 12 1 1 10 0 4.75 28 3 2 0 0 14 1 0 44 0 19.98 64 3 2 0 1 14 1 1 6 0 3.5 26 3 2 0 1 12 0 1 15 0 4 33 3 2 0 0 12 0 0 5 0 7 23 3 2 0 1 13 0 1 4 0 6.25 23 3 2 1 1 14 0 0 14 0 4.5 34 3 2 0 1 14 0 1 32 0 14.29 52 3 2 0 1 12 0 1 14 0 5 32 3 2 0 1 14 0 0 21 0 13.75 41 3 2 0 1 12 0 0 43 1 13.71 61 3 2 0 1 12 1 1 27 0 7.5 45 1 2 0 1 12 0 1 4 0 3.8 22 3 2 0 0 14 0 0 0 0 5 20 2 2 0 0 12 1 0 32 0 9.42 50 3 2 0 1 12 0 0 20 0 5.5 38 3 2 0 1 15 1 0 4 0 3.75 25 3 2 0 0 12 0 0 34 0 3.5 52 3 2 0 1 13 0 0 5 0 5.8 24 3 2 0 0 17 0 0 13 0 12 36 3 2 1 1 14 0 1 17 0 5 37 2 3 0 1 13 1 1 10 0 8.75 29 3 3 0 1 16 0 1 7 0 10 29 3 3 0 1 12 0 1 25 0 8.5 43 3 3 0 0 12 0 1 18 0 8.63 36 1 3 0 1 16 0 1 27 0 9 49 3 3 1 1 16 0 1 2 0 5.5 24 3 3 0 0 13 0 0 13 0 11.11 32 3 3 0 1 14 0 1 24 0 10 44 3 3 0 0 18 1 1 13 0 5.2 37 2 3 0 1 14 0 1 15 1 8 35 3 3 0 0 12 1 1 12 0 3.56 30 2 3 0 0 12 0 1 24 0 5.2 42 3 3 0 1 12 0 1 43 0 11.67 61 3 3 2 1 12 0 1 13 0 11.32 31 3 3 1 1 12 1 1 16 0 7.5 34 3 3 0 1 11 0 1 24 0 5.5 41 3 3 0 1 16 1 1 4 0 5 26 3 3 0 1 12 0 1 24 0 7.75 42 3 3 0 1 12 0 1 45 0 5.25 63 3 3 0 1 12 0 0 20 1 9 38 3 3 0 1 12 0 1 38 0 9.65 56 3 3 0 1 18 1 0 10 0 5.21 34 3 3 0 1 11 0 1 16 0 7 33 1 3 0 1 12 1 1 32 0 12.16 50 1 3 0 1 16 1 1 2 0 5.25 24 3 3 0 0 13 1 1 28 0 10.32 47 3 3 0 0 16 0 0 3 0 3.35 25 1 3 0 0 13 0 1 8 1 7.7 27 3 3 0 0 12 0 1 44 0 9.17 62 3 3 1 1 12 1 0 12 0 8.43 30 3 3 0 1 12 1 0 8 0 4 26 1 3 0 1 12 0 1 4 0 4.13 22 3 3 0 1 12 1 1 28 0 3 46 3 3 0 1 13 1 1 0 0 4.25 19 3 3 0 0 14 1 0 1 0 7.53 21 3 3 0 0 14 0 1 12 0 10.53 32 3 3 1 1 12 0 1 39 0 5 57 3 3 0 1 12 0 1 24 0 15.03 42 3 3 0 1 17 0 1 32 0 11.25 55 1 3 0 1 16 0 0 4 0 6.25 26 1 3 0 0 12 0 1 25 0 3.5 43 1 3 0 0 12 0 0 8 0 6.85 26 1 3 0 0 13 0 1 16 0 12.5 35 3 3 0 1 12 1 0 5 0 12 23 3 3 0 0 13 0 0 31 0 6 50 3 3 0 0 12 0 1 25 0 9.5 43 3 3 0 0 12 0 1 15 0 4.1 33 3 3 0 1 14 1 1 15 0 10.43 35 3 3 0 1 12 0 1 0 0 5 18 3 3 0 0 12 0 0 19 0 7.69 37 3 3 0 1 12 0 1 21 0 5.5 39 1 3 0 0 12 0 1 6 0 6.4 24 3 3 0 0 12 0 1 14 1 12.5 32 3 3 0 1 13 0 1 30 0 6.25 49 3 3 0 1 12 0 1 8 0 8 26 3 3 0 0 9 0 0 33 1 9.6 48 3 3 0 0 13 0 0 16 0 9.1 35 2 3 0 0 12 1 1 20 0 7.5 38 3 3 0 0 13 1 1 6 0 5 25 3 3 0 1 12 0 1 10 1 7 28 3 3 0 1 13 1 1 1 0 3.55 20 3 3 0 0 12 1 0 2 0 8.5 20 1 3 0 0 13 1 1 0 0 4.5 19 3 3 0 0 16 0 0 17 0 7.88 39 1 3 0 1 12 0 1 8 0 5.25 26 3 3 0 0 12 1 0 4 0 5 22 3 3 0 0 12 0 1 15 0 9.33 33 3 3 0 0 12 0 1 29 0 10.5 47 3 3 0 1 12 1 1 23 0 7.5 41 1 3 0 1 12 1 1 39 0 9.5 57 3 3 0 1 12 1 1 14 0 9.6 32 3 3 0 1 17 1 1 6 0 5.87 29 1 3 0 0 14 1 0 12 1 11.02 32 3 3 0 1 12 1 1 26 0 5 44 3 3 0 0 14 0 1 32 0 5.62 52 3 3 0 1 15 0 1 6 0 12.5 27 3 3 0 1 12 0 1 40 0 10.81 58 3 3 0 1 12 0 1 18 0 5.4 36 3 3 1 1 11 0 1 12 0 7 29 3 3 0 0 12 1 1 36 0 4.59 54 3 3 2 1 12 0 1 19 0 6 37 3 3 0 1 16 0 1 42 0 11.71 64 3 3 1 0 13 0 1 2 0 5.62 21 2 3 0 1 12 0 1 33 0 5.5 51 3 3 0 1 12 1 1 14 0 4.85 32 3 3 0 1 12 0 0 22 0 6.75 40 3 3 0 0 12 0 1 20 0 4.25 38 3 3 0 1 12 0 1 15 0 5.75 33 3 3 0 1 12 0 0 35 0 3.5 53 3 3 0 1 12 0 1 7 0 3.35 25 3 3 0 1 12 0 1 45 0 10.62 63 3 3 1 0 12 0 1 9 0 8 27 3 3 0 0 12 1 1 2 0 4.75 20 3 3 0 1 17 1 0 3 0 8.5 26 3 3 0 0 14 0 1 19 1 8.85 39 1 3 0 1 12 1 1 14 0 8 32 3 3 0 1 4 0 0 54 0 6 64 3 4 0 1 14 0 0 17 0 7.14 37 3 4 0 1 8 0 1 29 0 3.4 43 1 4 0 1 15 1 1 26 0 6 47 3 4 0 0 2 0 0 16 0 3.75 24 2 4 0 0 8 0 1 29 0 8.89 43 1 4 0 0 11 0 1 20 0 4.35 37 3 4 0 1 10 1 1 38 0 13.1 54 1 4 0 1 8 1 1 37 0 4.35 51 1 4 0 1 9 0 0 48 0 3.5 63 3 4 0 0 12 0 1 16 0 3.8 34 3 4 0 0 8 0 1 38 0 5.26 52 3 4 0 1 14 0 0 0 0 3.35 20 1 4 0 0 12 0 0 14 1 16.26 32 1 4 0 0 12 0 1 2 0 4.25 20 3 4 0 1 16 0 0 21 0 4.5 43 3 4 0 1 13 0 1 15 0 8 34 3 4 0 1 16 0 1 20 0 4 42 3 4 0 0 14 0 1 12 0 7.96 32 3 4 0 1 12 1 0 7 0 4 25 2 4 0 0 11 0 0 4 0 4.15 21 3 4 0 1 13 1 0 9 0 5.95 28 3 4 0 1 12 1 1 43 0 3.6 61 2 4 0 1 10 1 0 19 0 8.75 35 3 4 0 0 8 0 1 49 0 3.4 63 3 4 0 0 12 0 1 38 0 4.28 56 3 4 0 1 12 0 1 13 0 5.35 31 3 4 0 1 12 0 1 14 0 5 32 3 4 0 1 12 0 0 20 0 7.65 38 3 4 0 0 12 0 1 7 0 6.94 25 3 4 0 0 12 0 1 9 1 7.5 27 3 4 1 1 12 0 1 6 0 3.6 24 3 4 0 0 12 1 1 5 0 1.75 23 3 4 0 1 13 1 1 1 0 3.45 20 1 4 0 0 14 0 0 22 1 9.63 42 3 4 0 1 12 0 1 24 0 8.49 42 3 4 0 1 12 0 1 15 1 8.99 33 3 4 0 0 11 1 1 8 0 3.65 25 3 4 0 1 11 1 1 17 0 3.5 34 3 4 0 1 12 1 0 2 0 3.43 20 1 4 0 0 12 1 0 20 0 5.5 38 3 4 0 1 12 0 0 26 1 6.93 44 3 4 0 1 10 1 1 37 0 3.51 53 1 4 0 1 12 0 1 41 0 3.75 59 3 4 0 0 12 0 1 27 0 4.17 45 3 4 0 1 12 0 1 5 1 9.57 23 3 4 0 1 14 0 0 16 0 14.67 36 1 4 0 1 14 0 1 19 0 12.5 39 3 4 0 1 12 0 0 10 0 5.5 28 3 4 0 1 13 1 0 1 1 5.15 20 3 4 0 0 12 0 1 43 1 8 61 1 4 0 1 13 0 0 3 0 5.83 22 1 4 0 0 12 0 1 0 0 3.35 18 3 4 0 0 12 1 1 26 0 7 44 3 4 0 1 10 0 1 25 1 10 41 3 4 0 1 12 0 1 15 0 8 33 3 4 0 1 14 1 1 10 0 6.88 30 3 4 0 0 11 0 1 45 1 5.55 62 3 4 0 0 11 0 0 3 0 7.5 20 1 4 0 0 8 0 0 47 1 8.93 61 2 4 0 1 16 0 1 6 0 9 28 1 4 0 1 10 1 1 33 0 3.5 49 3 4 0 0 16 0 0 3 0 5.77 25 3 4 1 0 14 0 0 4 1 25 24 2 4 0 0 14 0 0 34 1 6.85 54 1 4 0 1 11 1 0 39 0 6.5 56 3 4 0 1 12 1 1 17 0 3.75 35 3 4 0 1 9 0 0 47 1 3.5 62 3 4 0 1 11 0 0 2 0 4.5 19 3 4 0 0 13 1 0 0 0 2.01 19 3 4 0 0 14 0 1 24 0 4.17 44 3 4 0 0 12 0 0 25 1 13 43 1 4 0 1 14 0 1 6 0 3.98 26 3 4 0 0 12 0 1 10 0 7.5 28 3 4 0 0 12 0 1 33 0 13.12 51 1 4 0 1 12 0 0 12 0 4 30 3 4 0 0 12 1 1 9 0 3.95 27 3 4 0 1 11 1 0 18 1 13 35 3 4 0 1 12 0 0 10 0 9 28 3 4 0 1 8 1 1 45 0 4.55 59 3 4 0 0 9 0 1 46 1 9.5 61 3 4 0 1 7 1 0 14 0 4.5 27 2 4 0 1 11 0 1 36 0 8.75 53 3 4 0 0 13 0 0 34 1 10 53 3 5 2 1 18 0 0 15 0 18 39 3 5 0 1 17 0 0 31 0 24.98 54 3 5 1 1 16 0 1 6 0 12.05 28 3 5 1 0 14 1 0 15 0 22 35 3 5 0 1 12 0 0 30 0 8.75 48 3 5 0 1 18 0 0 8 0 22.2 32 3 5 0 1 18 0 0 5 0 17.25 29 3 5 1 1 17 0 1 3 1 6 26 3 5 0 0 13 1 0 17 0 8.06 36 3 5 0 1 16 0 0 5 1 9.24 27 1 5 1 1 14 0 1 10 0 12 30 3 5 0 1 15 0 1 33 0 10.61 54 3 5 0 0 18 0 0 3 0 5.71 27 3 5 0 1 16 0 1 0 0 10 18 3 5 0 0 16 1 0 13 0 17.5 35 1 5 0 1 18 0 0 12 0 15 36 3 5 0 1 16 0 1 6 0 7.78 28 3 5 0 1 17 0 0 7 0 7.8 30 3 5 0 1 16 1 0 14 1 10 36 3 5 0 1 17 0 1 5 0 24.98 28 3 5 0 0 15 1 1 10 0 10.28 31 3 5 0 1 18 0 1 11 0 15 35 3 5 0 1 17 0 1 24 0 12 47 3 5 0 1 16 0 0 9 0 10.58 31 3 5 1 0 18 1 0 12 0 5.85 36 3 5 0 1 18 0 0 19 0 11.22 43 3 5 0 1 14 0 1 14 0 8.56 34 3 5 0 1 16 0 1 17 0 13.89 39 3 5 1 0 18 1 0 7 0 5.71 31 3 5 0 0 18 0 0 7 0 15.79 31 3 5 0 1 16 0 1 22 0 7.5 44 3 5 0 1 12 0 1 28 0 11.25 46 3 5 0 1 16 0 1 16 0 6.15 38 3 5 0 0 16 1 0 16 0 13.45 38 1 5 0 0 16 0 1 7 0 6.25 29 3 5 0 1 12 0 1 11 0 6.5 29 3 5 0 0 12 0 1 11 0 12 29 3 5 0 1 12 0 1 16 0 8.5 34 3 5 0 0 18 0 0 33 1 8 57 3 5 0 0 12 1 1 21 0 5.75 39 3 5 0 1 16 0 0 4 0 15.73 26 3 5 1 1 15 0 0 13 0 9.86 34 3 5 0 1 18 0 0 14 1 13.51 38 3 5 0 1 16 0 1 10 0 5.4 32 3 5 0 1 18 1 0 14 0 6.25 38 3 5 0 1 16 1 0 29 0 5.5 51 3 5 0 1 12 0 0 4 0 5 22 2 5 0 0 18 0 0 27 0 6.25 51 1 5 0 1 12 0 0 3 0 5.75 21 3 5 0 1 16 1 0 14 1 20.5 36 3 5 0 1 14 0 0 0 0 5 20 3 5 2 1 18 0 0 33 0 7 57 3 5 0 1 16 1 0 38 0 18 60 3 5 0 1 18 0 1 18 1 12 42 3 5 0 1 17 0 0 3 0 20.4 26 3 5 1 0 18 0 1 40 0 22.2 64 3 5 0 0 14 0 0 19 0 16.42 39 3 5 1 0 14 0 1 4 0 8.63 24 3 5 0 0 16 0 1 11 0 19.38 33 3 5 0 1 16 0 1 16 0 14 38 3 5 0 1 14 0 0 22 0 10 42 3 5 0 1 17 0 1 13 1 15.95 36 3 5 0 0 16 1 1 28 1 20 50 3 5 0 1 16 0 1 10 0 10 32 3 5 0 1 16 1 1 5 0 24.98 27 3 5 0 0 15 0 0 5 0 11.25 26 3 5 0 0 18 0 1 37 0 22.83 61 3 5 1 0 17 0 1 26 1 10.2 49 3 5 0 1 16 1 1 4 0 10 26 3 5 0 1 18 0 1 31 1 14 55 3 5 0 0 17 0 1 13 1 12.5 36 3 5 0 1 12 0 1 42 0 5.79 60 3 5 0 1 17 0 0 18 0 24.98 41 2 5 0 1 12 0 1 3 0 4.35 21 3 5 0 1 17 0 1 10 0 11.25 33 3 5 0 0 16 0 1 10 1 6.67 32 3 5 0 0 16 0 1 17 0 8 39 2 5 0 1 18 0 0 7 0 18.16 31 3 5 0 1 16 0 1 14 0 12 36 3 5 0 1 16 0 1 22 1 8.89 44 3 5 0 1 17 0 1 14 0 9.5 37 3 5 0 1 16 0 0 11 0 13.65 33 3 5 0 1 18 0 0 23 1 12 47 3 5 0 1 12 0 0 39 1 15 57 3 5 0 1 16 0 0 15 0 12.67 37 3 5 0 1 14 0 1 15 0 7.38 35 2 5 0 0 16 0 0 10 0 15.56 32 3 5 0 0 12 1 1 25 0 7.45 43 3 5 0 0 14 0 1 12 0 6.25 32 3 5 0 1 16 1 1 7 0 6.25 29 2 5 0 1 17 0 0 7 1 9.37 30 3 5 0 1 16 0 0 17 0 22.5 39 3 5 1 1 16 0 0 10 1 7.5 32 3 5 0 1 17 1 0 2 0 7 25 3 5 0 1 9 1 1 34 1 5.75 49 1 5 0 1 15 0 1 11 0 7.67 32 3 5 0 1 15 0 0 10 0 12.5 31 3 5 0 0 12 1 0 12 0 16 30 3 5 0 1 16 0 1 6 1 11.79 28 3 5 0 0 18 0 0 5 0 11.36 29 3 5 0 0 12 0 1 33 0 6.1 51 1 5 0 1 17 0 1 25 1 23.25 48 1 5 0 1 12 1 0 13 1 19.88 31 3 5 0 1 16 0 0 33 0 15.38 55 3 5 1 1