Political Analysis Using R: Example Code and Data, Plus Data for Practice Problemsdoi:10.7910/DVN/ARKOTIHarvard Dataverse2015-07-062Monogan, Jamie, 2015, "Political Analysis Using R: Example Code and Data, Plus Data for Practice Problems", https://doi.org/10.7910/DVN/ARKOTI, Harvard Dataverse, V2, UNF:6:+itU9hcUJ8I9E0Kqv8HWHg== [fileUNF]Political Analysis Using R: Example Code and Data, Plus Data for Practice Problemsdoi:10.7910/DVN/ARKOTIMonogan, JamieHarvard DataverseMonogan, JamieMonogan, James2015-07-06Social SciencesEach R script replicates all of the example code from one chapter from the book. All required data for each script are also uploaded, as are all data used in the practice problems at the end of each chapter. The data are drawn from a wide array of sources, so please cite the original work if you ever use any of these data sets for research purposes.<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>alpl2013.tab147518text/tab-separated-valuesUNF:6:d9ZNXvmiPfiunSAiXRpVfg==Salta, Argentina field experiment on e-voting versus traditional voting. Citation: Alvarez, R. Michael, Ines Levin, Julia Pomares, and Marcelo Leiras. 2013. "Voting Made Safe and Easy: The Impact of e-voting on Citizen Perceptions." Political Science Research and Methods 1(1):117-137.BPchap7.tab85414text/tab-separated-valuesUNF:6:B3/HJbnzktaX5eEJA2ItiA==National Survey of High School Biology Teachers. Citation: Berkman, Michael and Eric Plutzer. 2010. Evolution, Creationism, and the Battle to Control America's Classrooms. New York: Cambridge University Press.comprehensiveJapanEnergy.tab6010text/tab-separated-valuesUNF:6:Vhb3oZb9m4Nk9N7s6UAHGg==Japanese monthly electricity consumption by sector and policy action. Citation: Wakiyama, Takako, Eric Zusman, and James E. Monogan III. 2014. "Can a Low-Carbon-Energy Transition Be Sustained in Post-Fukushima Japan? Assessing the Varying Impacts of Exogenous Shocks." Energy Policy 73:654-666.constructionData.tab5055text/tab-separated-valuesUNF:6:+4pc5114xS0ryr1sSvdX6g==Health lobbying data from the U.S. states. Citation: Lowery, David, Virginia Gray, and James E. Monogan III. 2008. "The Construction of Interest Communities: Distinguishing Bottom-Up and Top-Down Models." Journal of Politics 70(4):1160-1176.hanmerKalkanANES.tab100012text/tab-separated-valuesUNF:6:lrQrhDAXFc8lSRP9muJslw==Subset of the 2004 wave of the American National Election Study. Citation: Hanmer, Michael J. and Kerem Ozan Kalkan. 2013. "Behind the Curve: Clarifying the Best Approach to Calculating Predicted Probabilities and Marginal Effects from Limited Dependent Variable Models." American Journal of Political Science 57(1):263-277.hmnrghts.tab1588text/tab-separated-valuesUNF:6:uEg24jBA2ht0P4WeNLjI+w==1993 wave of the Political Terror Scale data on human rights. Citations: * Poe, Steven C. and C. Neal Tate. 1994. "Repression of Human Rights to Personal Integrity in the 1980s: A Global Analysis." American Political Science Review 88(4):853-872. * Poe, Steven C., C. Neal Tate, and Linda Camp Keith. 1999. "Repression of the Human Right to Personal Integrity Revisited: A Global Cross-National Study Covering the Years 1976-1993." International Studies Quarterly 43(2):291-313.levant.tab12789text/tab-separated-valuesUNF:6:zlgG7+JXsIZYvS383eQOvA==Kansas Event Data System, weekly actions from 1979-2003 in the Israeli-Palestinian conflict. Citation: Brandt, Patrick T. and John R. Freeman. 2006. "Advances in Bayesian Time Series Modeling and the Study of Politics: Theory Testing, Forecasting, and Policy Analysis." Political Analysis 14(1):1-36.moneyDem.tab16814text/tab-separated-valuesUNF:6:7M/QM5i6IM/VUM94UJjJUQ==Quarterly U.S. monetary policy and economic data from 1959-2001. Citation: Enders, Walter. 2009. Applied Econometric Time Series. 3rd ed. New York: Wiley.owsiakJOP2013.tab1043412text/tab-separated-valuesUNF:6:0ZEvCFuUQms2zYD57hmwNQ==Democratization and international border settlements data, 200 countries from 1918-2007. Citation: Owsiak, Andrew P. 2013. "Democratization and International Border Agreements." Journal of Politics 75(3):717-729.SinghEJPR.tab6690821text/tab-separated-valuesUNF:6:iDGp9dXOl4SiR+rCBWo8Tw==Comparative Study of Electoral Systems survey. 60-election subset. Citation: Singh, Shane P. 2014. "Not All Election Winners Are Equal: Satisfaction with Democracy and the Nature of the Vote." European Journal of Political Research 53(2):308-327.SinghJTP.tab448978text/tab-separated-valuesUNF:6:lDCyZ7YQF5O++SRsxh2kGA==Comparative Study of Electoral Systems survey. 30-election subset. Citation: Singh, Shane P. 2014. "Linear and Quadratic Utility Loss Functions in Voting Behavior Research." Journal of Theoretical Politics 26(1):35-58.stdSingh.tab9274113text/tab-separated-valuesUNF:6:A5gwtn5q/ewkTMpcQEQ73w==Comparative Study of Electoral Systems survey. 77-election subset. Citation: Singh, Shane P. Forthcoming. "Compulsory Voting and the Turnout Decision Calculus." Political Studies.war1800.tab31320text/tab-separated-valuesUNF:6:jJ++mepKcv9JbJOOPLMf2Q==Nineteenth century militarized disputes data. Citations: * Bueno de Mesquita, Bruce and David Lalman. 1992. War and Reason. New Haven: Yale University Press. * Jones, Daniel M., Stuart A. Bremer, and J. David Singer. 1996. "Militarized Interstate Disputes, 1816-1992: Rationale, Coding Rules, and Empirical Patterns." Conflict Management and Peace Science 15(2):163-213.polling_place18.7532203389830537.01.0.10.8861809816819920.018.01475.034Escuela de Comercio Prof. Julio Cortes35Colegio Maestro Daniel Oscar Reyes1E.E.T.36Colegio Dr. Miguel Ragone18Escuela Prov. de Buenos Aires21Escuela Dr. Arturo Oñativia20Escuela Mons. Carlos Mariano Perez5Escuela Pte. Julio Argentino Roca26Escuela Dr. Martin R. Mainoli31Escuela de Comercio Juan Manuel de Estrada29Escuela Prof. Oscar Oñativia10Escuela Dr. Miguel Ortiz24Escuela Juan Azurduy de Padilla4Escuela Bernardino de Rivadavia17Escuela Mariquita S. de Thompson13Escuela Leopoldo Lugones12Escuela Pedro Bonifacio Palacios16Escuela Dr. Augusto Raul Cortazar28Escuela Normal de Maestras8Escuela 20 de Febrero de 181322Escuela Prov. de Salta2Escuela Juan Bautista Alberdi23Escuela Osvaldo Pos27Escuela Alte. Cristóbal Colón19Escuela IV Centenario Fundac. Salta7Escuela Gral. Justo José de Urquiza30Escuela Barrio Solidaridad3Escuela Juan Carlos Dávalos25Escuela Calixto Gauna33Colegio Dr. Manuel Antonio Castro32Colegio Juan Manuel de Rosas15Escuela Santa Lucía14Escuela Rep. Argentina11Escuela Brig. Gral. J.A. Alvarez de Arenales9Escuela Ejército Argentino6Escuela Remedios Escalada de San Martín37Colegio José Manuel 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Professionals3.06.37264562367137712.9612.5.50.030.00.0UNF:6:ki//PMsdeXWjqDQ+3Y5jRQ==50.01.1838216781616210.00.108800522983074190.29879260676955427.0.84439999625086780.9041658937931061UNF:6:G9T5OqDNpAjyoJmJJ4V3Fw==Linear prediction50.811027526855470.0.50.0130.986404418945322.201787948608430.22008075428397756.740000038146974UNF:6:P1S+Z7IzzDqlTY06KHKmXw==Linear prediction0.0149342352524399760.0247975848615169530.0.50.0-0.00110003410372883080.0079503567578241820.013999999646039214UNF:6:IkmJeg0UYNJR52m1zq7NuA==Linear prediction22.791189193725586.12.05624723434448212.9600000190734874.4528037194315747.57090044021606450.050.0UNF:6:7Z+bV2oBWKOA4pPZdj0SpA==Linear prediction11.68321800231933617.38525772094726650.03.9864614820248410.04.6919422149658211.004400081634522.UNF:6:R6UkqBA5R9m1+gpLmrN6HQ==Linear prediction0.3545494377613067650.03.85230088233947750.00.8350320458412171.13999998688697810.7746431572256095.UNF:6:Ms3nPO3NgFywmttxcjro2Q==Linear prediction.3.261684656143188524.52771472930908234.500297546386720.022.95260020732879650.08.797378926261139UNF:6:TFFiKhAL7+xim5dNzQG/Bg==Linear prediction.8.68004131317138710.220.050.05.066973209381103528.533189773559575.341492113273854UNF:6:m6jedfiuIVPT+uzxvwEp7w==Linear prediction19.167621612548828.5.68770456314086950.018.0526000404357925.78333091735840.05.4340379573284885UNF:6:RA1RcvCjiDcDU9nhpH/OnA==Linear prediction7.1837882995605478.2800000190734874.46326240449767120.042308807373047.2.57781410217285160.050.0UNF:6:rJh3UwarAtwajqtlBuUVGA==Linear prediction-2.6763985157012940.013.37560017347335950.015.038811206817627.6.46781830120340221.377098083496094UNF:6:DmWgHIpv9Bue1J3Y5v3JYg==Linear prediction8.166756938855071.0.018.28562164306640611.33897018432617245.0901603698730550.020.619999866485596UNF:6:FDD+gpZi9qY8JfUMceLpMg==Linear prediction-1.27387118339538578.2451998940110210.016.48398780822754.50.05.1897861920668477.100939989089966UNF:6:UOc3RxkBiPc3+r+yfR1q1A==Linear prediction0.050.00.97598157322164541.6106660366058353.416711211204529.3.20000000715255744.653711795806885UNF:6:KQaus8I9j1srIld/Nawx8Q==Linear prediction2.4244678020477295.0.069716796278953551.6686000032722951.79414629936218260.654383766957618750.00.0UNF:6:W9vAOkijg5GkB1SqreUQ8A==Linear prediction113.1599996185302854.22146241902305550.0.246.9420013427734453.081039428710940.0101.46965408325195UNF:6:pTytj9yjXK505K/ikKDUWw==Study.3. 2004 Pre Case ID.589.01211.0352.37639085067493.0617.0383.0593.0861618798957UNF:6:BrsWLPFNkt7Pc3lhI5RmIw==RECODE of v043085 (E1a. Liberal/conservative self-placement -7-point scale)617.01.41167392156860634.04.3054830287206265.7.0383.01.04Moderate6Cons7Ext Cons.3Slig. Liberal1Ext Liberal5Slig. Cons2LiberalUNF:6:v5gZr3RbnKfF8asIU0d0YA==RECODE of v045026 (C6a. voter: R's vote for President)383.01.01.00.5117493472584856.617.00.00.50051577569620920Kerry1BushUNF:6:x5g2TPH89lJQkfkoFt8o4g==RECODE of v043098 (F1a. How much economy better/worse in last year).383.00.5680973003551768617.01.0-1.0-0.15926892950391640.0UNF:6:FdmSnhzPYIl3vgPLCTVoLA==RECODE of v043299 (Y24x. SUMMARY: Race of Respondent)0.00.79112271540469980.407038265796932531.0383.0617.01.0.UNF:6:PasR9TowbS9qutGk3XU51A==RECODE of v041109a (HHListing.9a. Respondent gender)0.55091383812010440.0617.01.01.0.383.00.49805164936608476UNF:6:bLs0GSCqM//nQo8gWOQI3w==.48.00522193211488617.049.016.5861221839172588.0383.018.0UNF:6:NX+GZWDdX4V7HVC/FTmvaQ==617.01.0.7.0383.01.59617775101867524.04.608355091383811UNF:6:pwrUEZVJNgmOo/Iy+jLtQg==23.0383.017.0.5.628345852539772515.8563968668407311.0617.0UNF:6:tUmjom7uDedXxW8X3bIqlA==6.02.9660574412532643617.0383.0.0.02.2445738799271073.0UNF:6:eRubIr8i5KUf9kpPL83brg==RECODE of v043133 (M2a1. How much approve/disapprove Bush handling Iraq war)0.4265476180474449383.00.3333333432674408617.00.00.400348133268929.1.0UNF:6:g52YKlAVBH+B2ltdo6fH2A==RECODE of v044001 (PostAdmin.1. Form of interview)383.00.0617.0.1.01.01.01.02Experimental1StandardUNF:6:VqD+Hms+gCWbF8OsTyKa4Q==countryUNF:6:NOJ4TzCNlkBBg9ThJ0hIRQ==democ4.259223212887869510.0.0.05.322834645669291127.07.031.0UNF:6:qWf9nlEhWxiPnLnupcTi9g==sdnew2.01.0.2.01.36533655945907055.02.480769230769231156.0UNF:6:7UarwPdyhyKek3UDR1mr7g==military1.00.15384615384615388156.00.361963215986164772.00.0.0.0UNF:6:L5XTSNQYQmB+EXpAIMhdUg==gnpcatsUNF:6:QBfWXY2b9xip5pgnV5R0uA==lpop156.01.9239327345518695.15.6618589743589742.015.89511.2920.89UNF:6:rfRpj0h8+L7KRkHXDixEVg==civ_war156.00.00.00.096153846153846130.295751555583859961.02.0.UNF:6:etU2pzDFI9B8AQku4n+A8A==int_war.0.158570954860569770.00.00.025641025641025651.0156.02.0UNF:6:dxc4fYJuwF61BhhA9vbIlQ==1278.07.1029979035938691991.0.2003.00.01991.0563380281691979.0UNF:6:kK/lkVnsee9ze+tF1uA0xQ==14.903058238117849.1278.027.026.5704225352112752.01.00.0UNF:6:O4ZLdN19Zv4l2n+kfftXFg==(sum) a2i7.4756608501599851.0.-46.599999941885471278.00.040.8999999985098842.2002347164054292UNF:6:mHwImWHU5DFIH0Vk6CWFUQ==(sum) a2p0.00.066.599999837577345.9127314068299635.1278.0-67.100000359117980.7640844918612634UNF:6:JAGxGe8zqpb0YB3mEhwB5Q==(sum) i2p.-15.199999835342169-48.0423318087208951278.0105.75929873762334-1324.20000059157690.100000657141210.0UNF:6:Bdroc7KK/ckVg7GnhdFOUQ==(sum) i2a0.053.499999761581421.91932705128696537.010213631053505-42.5.1278.00.5499999523162842UNF:6:kNgsBksV32KLjRTnuTfvHg==(sum) p2i51.480674124295156-20.413458567135777.-521.900000937283-4.700000133365393102.90000014752150.01278.0UNF:6:gnrOynC/5eJn0+7qwxj8oA==(sum) p2a61.4999998062849040.35758997234099730.01278.00.0.5.6199750948264615-61.200000524520874UNF:6:F/LZtxNVKsj4eOIDWR9AKQ==1278.01002.00.01640.5.2279.01640.5369.0711313554611UNF:6:1IRtVsgikpm1JqphXfe5sQ==DATE1959.19995117187512.16232500593773168.01980.02001.0999755859375.0.01980.1499633789062UNF:6:2nJRx6KJRQDn2zM9sctryQ==GDP10243.5996093753591.0523881458052734.89990234375.168.0509.200012207031250.02871.837532128582UNF:6:IiISZcb4eo+K2IArWZ2yIA==RGDP1943.95816330113620.02331.39990234375.168.09439.9003906255159.444032214944913.199951171875UNF:6:dOzcRP26GM2iaN5DaPXDlw==M25043.70996093750.0.168.01398.27038549213292.11999511718751503.2399902343751914.4608359563942UNF:6:aQnIXvTY92I/gThzKWVH9Q==M30.0.7260.140136718752427.1074320475261915.41147859798371853.2049560546875294.3500061035156168.0UNF:6:vvmIZkxXjyty0G7UI5cA6Q==TB3mo2.586624729898917.168.015.0500001907348630.02.2999999523162845.3599998950958255.9338690482434755UNF:6:gur0FeJ8eM+yPgImis9ZZw==TB1yrUNF:6:fu96WADqm71BIwCjnyuQPw==UNF:6:gwAM9hlkO4WgEuUstUVTUA==9.1527004241943368.4996805191040040.0168.07.75422430038452158.47537544227782.0.38968125901439543UNF:6:OHOG5+vlz6st+JKXkthssg==0.0378046035766601560.008959516626039242-0.020597457885742188.0.00.008256435394287110.00847526675178891168.0UNF:6:GB089zSLwkL0aAAhpeNhzg==.1.08513855934143070.218315914273262020.299343161492805760.0168.00.58641639263147420.5572566390037537UNF:6:sxcVwRqKHAURJlS/5GkRow==8.4441890716552737.8991593094099140.07.912755727767944.7.198976993560791168.00.32978806943597727UNF:6:dB3lm1slz+99pZBw/Xj4Hg==168.00.0.0.0093933061499368190.045721054077148440.007499078909556073-0.018225193023681640.008761167526245117UNF:6:N5/smZTvaiBG+aaKyH1Rfg==0.0.0.012202382087707520.039999961853027344-3.73000049591064450.8096102908977254168.04.460000038146973UNF:6:J6RnPzeRBDoaL7Eu8C66QQ==411.0430.61366685838925990.0.10434.02.00.0258.56997665559084UNF:6:rxqYblU23MauP8xikm4xJg==1919.01973.6136668583471978.02007.00.023.99388818610198.10434.0UNF:6:FNgvwOUiQtpGaZTJFubxqg==Polity IV dem-aut combined score1129.010.09305.00.187641053197407-10.0.7.418490721952504-1.0UNF:6:FuZCrDbVVnkDMHL4Gz3Onw==All borders settled1683.0.0.00.66906639241229471.08751.01.00.47057609342784695UNF:6:C2gedSoAQot7/ESpZaEXaw==Lagged ln(GDP), Maddison data.42916.0207.05135.0239640025852647.02023.08411.04593.465105219313UNF:6:zIFlpDU70i6qGlGD1u399Q==9134.0-1.010.0-10.0.7.4220216078078440.131048828552721321300.0UNF:6:xeGH7jE4PIGYqqjhbaqaLg==-0.22314353287229776.07.42114046998716314.8994588851928712.39777121797376677.24470591545105.658.0UNF:6:K0O79ltm6ulRKECIA5CrTg==5.2184E874844.0-9.01.9378018747444633E7.10215.02961642.802937036219.0UNF:6:z7K8EtzHiFU3IowcoiBe5g==555.6599468385381-9.010215.0172.27665198237554219.012500.026.0.UNF:6:3E/Wuns+NxRzugTkJFYOYQ==0.66480672359466550.063882717272020370.0193338087866943530.02174674253910782202.08232.0-0.7030431032180786.UNF:6:Q4DRlIEXiWkms8RpUqvGrg==6.3713166911404542.08.99640179899769910215.0219.048.00.0.UNF:6:/MFw9cOcUPUV6deHCmpXwA==0.253226001516910270.189141755209633317.58653450012207.10212.0222.00.15007439255714417-0.014423076994717121UNF:6:f0Lbj1YPxpVjlaWZt8ZG2w==country and year of electionUNF:6:HHHxXRE+2MAxvNronTfWlQ==number for country-years66908.0.22.10413010569599479.042.00.039.8440096849504851.019FIN 0358ROM 0456POR 0566SPA 049BRA 0254POL 0151PER 0529ICE 0348NOR 0170SWI 03UNF:6:HRLuEt7ohBjAO/3BJz5Mlg==freedom house scores, reflected so higher is freer 66908.00.0.0.8224461241331444-1.0-5.5-1.5127787409577982-1.0UNF:6:RbO3mDutEPlpu6sQl/HiGg==GDP percent growth, WDI - taiwan from http://ebas1.ebas.gov.tw/ 10.0.3.0-5.03.3255491151952570.02.473903735002074366908.0UNF:6:fR4cjfqVrCccM4dGmrHFbw==GDP per capita, PPP (constant 2000 international $) in thousands, from WDI3.61400008201599166908.0.8.98824683639485239.7719993591308623.083000183105470.021.466219537086356UNF:6:hC14YRfnirt/IMuzkdYWDw==R thinks that voting can make a difference, higher is agree1.066908.0.0.05.01.23557942992071774.03.8733634244036663UNF:6:8FyTtp0eFCbsRzMR54SmIg==R graduated college0.16766305972380471.066908.0.0.00.00.37356959711814330.0UNF:6:bioBpYlJxgCQfAXIAKjHXg==R didn't vote0.41249233493879980.2174179470317578766908.00.00.01.0.0.0UNF:6:HC7GVd056wTk+t/SHA8/9Q==satisfaction with democracy, higher is more0.00.8028068359709045.4.01.03.066908.02.6548095892868067UNF:6:X1JJpKwVCfM37tVB2nNblQ==presidential system0.209466730435828280.40693106813137260.01.066908.00.00.0.UNF:6:S1Dkp3eLEwmLWj0slhjtbg==majoritarian electoral systems and presidential elections0.0.0.452732927573631370.01.00.00.2877832247264807766908.0UNF:6:I4Hjvw08iTGj9q736tpanA==R voted for party he or she identifies with66908.0.0.362183894302602950.00.00.480635177306706851.00.0UNF:6:FYABS+BFwiB1u6B0NRY+bw==R voted for winning party0.066908.00.464839850870539030.3158067794583580.01.00.0.UNF:6:YWyIHKtyhybae+xT3HGIOw==R voted for party he or she rated highest0.475700758824094766908.0.0.00.01.01.00.6539875650146599UNF:6:esRrehbS8y7KCQhmP+9jRw==vote optimality-scale of voted_ID, voted_affect, and voted_ideo1.25917678005616150.03.01.02208280333090681.00.0.66908.0UNF:6:Fy25b4Q6fPhtMjWBrFJ4nQ==R voted for party he or she is ideologically nearest0.00.428901485455617241.00.00.0.0.243005320738931566908.0UNF:6:rKpF+t4mrM/BKSD8Ct2lEQ==Corruption Perceptions Index, higher is more corrupt2.52.30939460002437660.00.0.66908.03.13050542851575437.599999904632568UNF:6:aqai6p5CoAzeMPkSRw+MZg==.0.066908.00.155033777724653520.00.00.36193958529748891.0UNF:6:T3L2AUaBEDDHWKTIR8ZUYQ==.0.445489822133689041.066908.00.00.27297184193221350.00.0UNF:6:2vBojm3SQoatBik0v94Vug==0.0986578585520497566908.0.0.01.00.298204316826375940.00.0UNF:6:0FhOCG0qEYrxBurGZ7R6VQ==3.00.00.00.00.5266634782089139.66908.00.9122616551398148UNF:6:WMc7kR3da8TMk4ppTsqevg==country and yearUNF:6:oAvhr7M5uoTfRgLDhFciog==number of country-year dyad for mixed model clusters (won't take string vars)0.077.045.011.0.19.87100616913365844897.043.2704635053597729ICE 0348NOR 0166SPA 0456POR 059BRA 0258ROM 0470SWI 0354POL 0151PER 0519FIN 03UNF:6:fznYRj3DvxvUhv07skks5A==distance from closest party (expert pment) weighted by the inverse of victory ma.3.9879999160766644897.00.00.4805070874374910.60728512449837870.00.0UNF:6:/SfZaFiyXiq6hYH+0n8Rog==square of distanceweighted0.00.00.68913505323735941.38908494443773160.015.9519996643066444897.0.UNF:6:YEArUoWbnsBnOZ8lWlPGBg==r voted0.3560122172828463.44897.01.00.85108136401096250.01.00.0UNF:6:JvgEMYQW/9IoNqSWwsWxfw==square of distanceinc12.096022435019594.0.8.63594449517790681.00.044897.00.0UNF:6:P3Y26TMnGrq/87Ml4mCn2w==voted for party with most seats/incumbent prez party0.00.310355656748070030.0.6686.01.00.4626452470492558638211.0UNF:6:TfWkptT8mqPJj7ObXdWpRQ==distance from incumbent party, expert party locations0.02.00.0.9.02.32224870258587944897.01.8008824765853437UNF:6:V2+69zFvoZ2xQCwOU3Adtg==age0.0-0.06335244867870066-1.74768397391668344.1987861211009957E-1692741.01.0000000000000622.3.305310601797265UNF:6:pLKbi2meCQUbKIrD0WBG6w==severity0.9999999999995540.03.9405639573998372-0.469630206899652692741.0.2.0893137232702713E-13-0.4696302068996526UNF:6:IPa0cX5t3pgsq4ZuwCgOQA==polinfrel4.063132256068478.0.092741.00.09254682040640114-1.4517739364719163E-16-1.65563963822432641.0000000000000442UNF:6:vUyZkQJ1PtwCT1cDse2S+g==income92741.00.06.589520861419729E-4.0.99999999999998211.4385854325778098-1.4372675284055259-9.231248086056337E-16UNF:6:LRaS1DSLq53nHfG4Kx6KHw==efficacy-3.4544922031592588E-150.07207927376259730.99999999999990730.00.898780229490652-2.408023593421566692741.0.UNF:6:Bd0ZxITgzusGsSxtGzoA/A==partyID.92741.00.9999999999996777-1.01817771917128220.0-8.1854924817977E-150.98213622087159120.9821362208715912UNF:6:ywrkf1Umn0uGNydF+8sqXA==dist_magnitude3.3101234875614054-8.482056980949121E-141.0000000000001055-0.44045086473461403.92741.0-0.29621736783088120.0UNF:6:Yp5xVj40s2HyVkq5UWY06g==enep-5.29852714444989E-14.-1.45599760673839892741.00.99999999999997490.03.377632935470779-0.24363662014285747UNF:6:TCMzzXVI960EE59WwC+L5Q==vicmarg_dist.3.490831802787164E-140.99999999999999446.986567292272536-0.28978339395363706-1.077658268118983592741.00.0UNF:6:caET1eCP8zB75RMQLfxDgw==parliamentary0.999999999999360192741.0-1.12477155194128.0.88905984113540710.00.88905984113540713.33485660704865E-15UNF:6:EZh9Lj3gyQjEw90pm7JLcg==development0.999999999999939492741.00.22060485654930503-1.80369691647185950.02.6177277842372155E-141.953415061425149.UNF:6:GZ6wxZYmd974YCc0tZ8h6w==cntryyearUNF:6:qsYrrgN2EUjgpPQ1gdTdJQ==voted0.85285903753466230.354248292548093040.01.092741.0.1.00.0UNF:6:AL5NF3A5lAjNImxpeV5M+w==220.0313.0110.04314719738463.235.63897763578272.0740.00.0UNF:6:H2rcLrni3rQvehF3sG/50A==313.02.0320.62300319488827255.00.0216.61187310884236.800.0UNF:6:JmveqLpxxTt1aZeFk3Mh+g==1867.2204472843451866.01817.021.426513435564445.1899.0313.00.0UNF:6:UvEJGtpbRLG6q4odGOiFJA==313.02.4699503E-3172.1150446E-3172.891513E-3170.0.2.4538763E-3170.0UNF:6:Own1YB911zBmYW3SV+1mbg==0.00.0313.02.5347084E-3172.1150446E-3172.9251626E-3172.4832787E-317.UNF:6:WleYLyjzcDCCkcDogGulQg==0.00.09526253617772192313.0.0.088726776364185760.083311997354030611.3699999544769526E-40.33881399035453796UNF:6:q1/Ion+cR1CNtFMw/Z/edg==0.332913994789123540.00.06128522047008496313.00.021996000781655310.079845375455706871.7699999443721026E-4.UNF:6:VXKs/b+FpQbnZffGKe6+DQ==0.7096936106681824313.0.0.00.60847923297958720.333579489670103540.0038129254244267940.9980134963989258UNF:6:F3pTf6/LgdYzAE3ZGvCyJQ==0.0.313.00.38854106577111447-0.610459029674530.439250872675978340.422104001045227051.0UNF:6:xZVRyo+Y/p00/5Wa2K8l9g==0.432346999645233151.00.00.4168975763502544.0.42806585370295164313.0-0.8921869993209839UNF:6:tlcD2VFSSSCjqz71EByyjw==-3.012.0.-10.0-1.265780730897013301.010.06.23985511090556UNF:6:2b2fekXaIEpHemuPo0Bpog==6.405498640154739-10.020.0293.0.10.0-2.7883959044368565-4.0UNF:6:fCo7F6PgrykNy4tPZ1S/2w==7407.0520.0.0.0313.01656.61661341853030.02234.3515063269847UNF:6:NE8W98PEA5DZ2aXBS9YF5A==313.00.0.7.016.42914825629423314.0543130990415380.074.0UNF:6:AUAr6zXUkUNBCOoL5RkWmQ==0.0313.0961.8626198083062960.32487340297943725.0.8.0375.0UNF:6:DzYnJm5//8jXMRW8Ew4sqw==0.0313.00.00.74121405750798730.438669092394559261.0.1.0UNF:6:nBrCKxQIk+DFYTfSfJLEEg==0.00.39674889157852616313.0.0.194888178913738081.00.00.0UNF:6:QJoVPclqXhWI3FUciaJtQQ==.0.42492012779552710.00.00.01.0313.00.49512243695306635UNF:6:VVUUw4lPYhltgLxgzlU/fw==0.00.01.00.44710825507792495.0.27476038338658140.0313.0UNF:6:OO+IdEDI1P5X549ef7CmAw==1.0313.00.00.300319488817891560.00.45913089598830176.0.0UNF:6:7eg+DzMBd7SFT36mcsWVog==chapter01.RReplication code for Chapter 1 (Obtaining R and Downloading Packages). No additional data required.text/plain; charset=US-ASCIIchapter02.RReplication code for Chapter 2 (Loading and Manipulating Data). Required data files: hmnrghts.txt, sen113kh.ord, hmnrghts.dta, pts1994.csv, and pts1995.csv.text/plain; charset=US-ASCIIchapter03.RReplication code for Chapter 3 (Visualizing Data). Required data files: constructionData.dta and PESenergy.csv.text/plain; charset=US-ASCIIchapter04.RReplication code for Chapter 4 (Descriptive Statistics). Required data file: LL.csv.text/plain; charset=US-ASCIIchapter05.RReplication code for Chapter 5 (Basic Inferences and Bivariate Association). Required data file: LL.csv.text/plain; charset=US-ASCIIchapter06.RReplication code for Chapter 6 (Linear Models and Regression Diagnostics). Required data file: BPchap7.dta.text/plain; charset=US-ASCIIchapter07.RReplication code for Chapter 7 (Generalized Linear Models). Required data files: SinghJTP.dta, SinghEJPR.dta, and PESenergy.csv.text/plain; charset=US-ASCIIchapter08.RReplication code for Chapter 8 (Using Packages to Apply Advanced Models). Required data files: BPchap7.dta, SinghJTP.dta, LL.csv, and UN.csv.text/plain; charset=US-ASCIIchapter09.RReplication code for Chapter 9 (Time Series Analysis). Required data files: PESenergy.csv and levant.dta.text/plain; charset=US-ASCIIchapter10.RReplication code for Chapter 10 (Linear Algebra with Programming Applications). No additional data required.text/plain; charset=US-ASCIIchapter11.RReplication code for Chapter 11 (Additional Programming Tools). No additional data required.text/plain; charset=US-ASCIIdrugCoverage.csvDrug policy monthly TV news coverage. Citation: Peake, Jeffrey S. and Matthew Eshbaugh-Soha. 2008. "The Agenda-Setting Impact of Major Presidential TV Addresses." Political Communication 25:113-137.text/plain; charset=US-ASCIIerratum.pdfThis document serves as a misprint report for the original textbook.application/pdfhmnrghts.txt1993 wave of the Political Terror Scale data on human rights. Citations: * Poe, Steven C. and C. Neal Tate. 1994. "Repression of Human Rights to Personal Integrity in the 1980s: A Global Analysis." American Political Science Review 88(4):853-872. * Poe, Steven C., C. Neal Tate, and Linda Camp Keith. 1999. "Repression of the Human Right to Personal Integrity Revisited: A Global Cross-National Study Covering the Years 1976-1993." International Studies Quarterly 43(2):291-313.text/plainLL.csvNational Supported Work Demonstration field experiment data. Citation: LaLonde, Robert J. 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data." American Economic Review 76(4):604-620.text/plain; charset=US-ASCIIPESenergy.csvEnergy policy monthly TV news coverage. Citation: Peake, Jeffrey S. and Matthew Eshbaugh-Soha. 2008. "The Agenda-Setting Impact of Major Presidential TV Addresses." Political Communication 25:113-137.text/plain; charset=US-ASCIIpts1994.csv1994 wave of the Political Terror Scale data on human rights. Citations: * Poe, Steven C. and C. Neal Tate. 1994. "Repression of Human Rights to Personal Integrity in the 1980s: A Global Analysis." American Political Science Review 88(4):853-872. * Poe, Steven C., C. Neal Tate, and Linda Camp Keith. 1999. "Repression of the Human Right to Personal Integrity Revisited: A Global Cross-National Study Covering the Years 1976-1993." International Studies Quarterly 43(2):291-313.text/plain; charset=US-ASCIIpts1995.csv1995 wave of the Political Terror Scale data on human rights. Citations: * Poe, Steven C. and C. Neal Tate. 1994. "Repression of Human Rights to Personal Integrity in the 1980s: A Global Analysis." American Political Science Review 88(4):853-872. * Poe, Steven C., C. Neal Tate, and Linda Camp Keith. 1999. "Repression of the Human Right to Personal Integrity Revisited: A Global Cross-National Study Covering the Years 1976-1993." International Studies Quarterly 43(2):291-313.text/plain; charset=US-ASCIIsen113kh.ord113th U.S. Senate roll call data. Citation: Poole, Keith T., Jeffrey Lewis, James Lo, and Royce Carroll. 2011. "Scaling Roll Call Votes with wnominate in R." Journal of Statistical Software 42.text/plain; charset=US-ASCIIUN.csvUnited Nations roll call data from 1946-1949. Citation: Poole, Keith T., Jeffrey Lewis, James Lo, and Royce Carroll. 2011. "Scaling Roll Call Votes with wnominate in R." Journal of Statistical Software 42.text/plain; charset=US-ASCII