R/get_senate_nominate.R
get_senate_nominate.RdReturns a dataset of nominate scores for Senate members of the the specified congress, available otherwise at VoteView.com.
get_senate_nominate(congress = "ALL")
| congress | Number for the congress you're interested in. Defaults to "ALL" to get the most recent scores for every congress. |
|---|
a data frame containing the relevant legislator names and DW-nominate scores, as well as otherinformation made available by VoteView
https://voteview.com/data
# get the scores for the 116th (2019-2021) congress senate <- get_senate_nominate(congress=116) # returned as a data frame senate#> congress chamber icpsr state_icpsr district_code state_abbrev party_code #> 1 116 Senate 41705 41 0 AL 100 #> 2 116 Senate 94659 41 0 AL 200 #> 3 116 Senate 40300 81 0 AK 200 #> 4 116 Senate 41500 81 0 AK 200 #> 5 116 Senate 21300 61 0 AZ 100 #> 6 116 Senate 21501 61 0 AZ 200 #> 7 116 Senate 20101 42 0 AR 200 #> 8 116 Senate 21301 42 0 AR 200 #> 9 116 Senate 41701 71 0 CA 100 #> 10 116 Senate 49300 71 0 CA 100 #> 11 116 Senate 21112 62 0 CO 200 #> 12 116 Senate 40910 62 0 CO 100 #> 13 116 Senate 20707 1 0 CT 100 #> 14 116 Senate 41101 1 0 CT 100 #> 15 116 Senate 15015 11 0 DE 100 #> 16 116 Senate 40916 11 0 DE 100 #> 17 116 Senate 41102 43 0 FL 200 #> 18 116 Senate 41903 43 0 FL 200 #> 19 116 Senate 29909 44 0 GA 200 #> 20 116 Senate 41501 44 0 GA 200 #> 21 116 Senate 20713 82 0 HI 100 #> 22 116 Senate 41112 82 0 HI 100 #> 23 116 Senate 29345 63 0 ID 200 #> 24 116 Senate 40902 63 0 ID 200 #> 25 116 Senate 15021 21 0 IL 100 #> 26 116 Senate 21325 21 0 IL 100 #> 27 116 Senate 21133 22 0 IN 200 #> 28 116 Senate 41900 22 0 IN 200 #> 29 116 Senate 14226 31 0 IA 200 #> 30 116 Senate 41502 31 0 IA 200 #> 31 116 Senate 14852 32 0 KS 200 #> 32 116 Senate 29722 32 0 KS 200 #> 33 116 Senate 14921 51 0 KY 200 #> 34 116 Senate 41104 51 0 KY 200 #> 35 116 Senate 20919 45 0 LA 200 #> 36 116 Senate 41703 45 0 LA 200 #> 37 116 Senate 41300 2 0 ME 328 #> 38 116 Senate 49703 2 0 ME 200 #> 39 116 Senate 15408 52 0 MD 100 #> 40 116 Senate 20330 52 0 MD 100 #> 41 116 Senate 14435 3 0 MA 100 #> 42 116 Senate 41301 3 0 MA 100 #> 43 116 Senate 20923 23 0 MI 100 #> 44 116 Senate 29732 23 0 MI 100 #> 45 116 Senate 40700 33 0 MN 100 #> 46 116 Senate 41706 33 0 MN 100 #> 47 116 Senate 29534 46 0 MS 200 #> 48 116 Senate 41707 46 0 MS 200 #> 49 116 Senate 29735 34 0 MO 200 #> 50 116 Senate 41901 34 0 MO 200 #> 51 116 Senate 21338 64 0 MT 200 #> 52 116 Senate 40702 64 0 MT 100 #> 53 116 Senate 41302 35 0 NE 200 #> 54 116 Senate 41503 35 0 NE 200 #> 55 116 Senate 21743 65 0 NV 100 #> 56 116 Senate 41700 65 0 NV 100 #> 57 116 Senate 40906 4 0 NH 100 #> 58 116 Senate 41702 4 0 NH 100 #> 59 116 Senate 29373 12 0 NJ 100 #> 60 116 Senate 41308 12 0 NJ 100 #> 61 116 Senate 20930 66 0 NM 100 #> 62 116 Senate 29924 66 0 NM 100 #> 63 116 Senate 14858 13 0 NY 100 #> 64 116 Senate 20735 13 0 NY 100 #> 65 116 Senate 29548 47 0 NC 200 #> 66 116 Senate 41504 47 0 NC 200 #> 67 116 Senate 21350 36 0 ND 200 #> 68 116 Senate 41107 36 0 ND 200 #> 69 116 Senate 29386 24 0 OH 200 #> 70 116 Senate 29389 24 0 OH 100 #> 71 116 Senate 15424 53 0 OK 200 #> 72 116 Senate 21166 53 0 OK 200 #> 73 116 Senate 14871 72 0 OR 100 #> 74 116 Senate 40908 72 0 OR 100 #> 75 116 Senate 29935 14 0 PA 200 #> 76 116 Senate 40703 14 0 PA 100 #> 77 116 Senate 29142 5 0 RI 100 #> 78 116 Senate 40704 5 0 RI 100 #> 79 116 Senate 21173 48 0 SC 200 #> 80 116 Senate 29566 48 0 SC 200 #> 81 116 Senate 29754 37 0 SD 200 #> 82 116 Senate 41505 37 0 SD 200 #> 83 116 Senate 20351 54 0 TN 200 #> 84 116 Senate 40304 54 0 TN 200 #> 85 116 Senate 40305 49 0 TX 200 #> 86 116 Senate 41304 49 0 TX 200 #> 87 116 Senate 41110 67 0 UT 200 #> 88 116 Senate 41902 67 0 UT 200 #> 89 116 Senate 14307 6 0 VT 100 #> 90 116 Senate 29147 6 0 VT 328 #> 91 116 Senate 40909 40 0 VA 100 #> 92 116 Senate 41305 40 0 VA 100 #> 93 116 Senate 39310 73 0 WA 100 #> 94 116 Senate 49308 73 0 WA 100 #> 95 116 Senate 20146 56 0 WV 200 #> 96 116 Senate 40915 56 0 WV 100 #> 97 116 Senate 29940 25 0 WI 100 #> 98 116 Senate 41111 25 0 WI 200 #> 99 116 Senate 40707 68 0 WY 200 #> 100 116 Senate 49706 68 0 WY 200 #> occupancy last_means bioname bioguide_id born #> 1 NA NA JONES, Gordon Douglas (Doug) J000300 1954 #> 2 NA NA SHELBY, Richard C. S000320 1934 #> 3 NA NA MURKOWSKI, Lisa M001153 1957 #> 4 NA NA SULLIVAN, Daniel Scott S001198 1964 #> 5 NA NA SINEMA, Kyrsten S001191 1976 #> 6 NA NA McSALLY, Martha M001197 1966 #> 7 NA NA BOOZMAN, John B001236 1950 #> 8 NA NA COTTON, Tom C001095 1977 #> 9 NA NA HARRIS, Kamala Devi H001075 1964 #> 10 NA NA FEINSTEIN, Dianne F000062 1933 #> 11 NA NA GARDNER, Cory G000562 1974 #> 12 NA NA BENNET, Michael F. B001267 1964 #> 13 NA NA MURPHY, Christopher M001169 1973 #> 14 NA NA BLUMENTHAL, Richard B001277 1946 #> 15 NA NA CARPER, Thomas Richard C000174 1947 #> 16 NA NA COONS, Christopher A. C001088 1963 #> 17 NA NA RUBIO, Marco R000595 1971 #> 18 NA NA SCOTT, Richard Lynn (Rick) S001217 1952 #> 19 NA NA ISAKSON, Johnny I000055 1944 #> 20 NA NA PERDUE, David Alfred, Jr. P000612 1949 #> 21 NA NA HIRONO, Mazie H001042 1947 #> 22 NA NA SCHATZ, Brian Emanuel S001194 1972 #> 23 NA NA CRAPO, Michael Dean C000880 1951 #> 24 NA NA RISCH, James R000584 1943 #> 25 NA NA DURBIN, Richard Joseph D000563 1944 #> 26 NA NA DUCKWORTH, Tammy D000622 1968 #> 27 NA NA YOUNG, Todd Y000064 1972 #> 28 NA NA BRAUN, Michael B001310 1954 #> 29 NA NA GRASSLEY, Charles Ernest G000386 1933 #> 30 NA NA ERNST, Joni E000295 1970 #> 31 NA NA ROBERTS, Charles Patrick (Pat) R000307 1936 #> 32 NA NA MORAN, Jerry M000934 1954 #> 33 NA NA McCONNELL, Addison Mitchell (Mitch) M000355 1942 #> 34 NA NA PAUL, Rand P000603 1963 #> 35 NA NA CASSIDY, Bill C001075 1957 #> 36 NA NA KENNEDY, John Neely K000393 1951 #> 37 NA NA KING, Angus Stanley, Jr. K000383 1944 #> 38 NA NA COLLINS, Susan Margaret C001035 1952 #> 39 NA NA CARDIN, Benjamin Louis C000141 1943 #> 40 NA NA VAN HOLLEN, Christopher V000128 1959 #> 41 NA NA MARKEY, Edward John M000133 1946 #> 42 NA NA WARREN, Elizabeth W000817 1949 #> 43 NA NA PETERS, Gary C. P000595 1958 #> 44 NA NA STABENOW, Deborah Ann S000770 1950 #> 45 NA NA KLOBUCHAR, Amy K000367 1960 #> 46 NA NA SMITH, Tina S001203 1958 #> 47 NA NA WICKER, Roger F. W000437 1951 #> 48 NA NA HYDE-SMITH, Cindy H001079 1959 #> 49 NA NA BLUNT, Roy B000575 1950 #> 50 NA NA HAWLEY, Joshua David H001089 1979 #> 51 NA NA DAINES, Steve D000618 1962 #> 52 NA NA TESTER, Jon T000464 1956 #> 53 NA NA FISCHER, Debra (Deb) F000463 1951 #> 54 NA NA SASSE, Benjamin Eric S001197 1972 #> 55 NA NA ROSEN, Jacklyn Sheryl R000608 1957 #> 56 NA NA CORTEZ MASTO, Catherine Marie C001113 1964 #> 57 NA NA SHAHEEN, Jeanne S001181 1947 #> 58 NA NA HASSAN, Margaret (Maggie) H001076 1958 #> 59 NA NA MENENDEZ, Robert M000639 1954 #> 60 NA NA BOOKER, Cory Anthony B001288 1969 #> 61 NA NA HEINRICH, Martin H001046 1971 #> 62 NA NA UDALL, Thomas (Tom) U000039 1948 #> 63 NA NA SCHUMER, Charles Ellis (Chuck) S000148 1950 #> 64 NA NA GILLIBRAND, Kirsten G000555 1966 #> 65 NA NA BURR, Richard M. B001135 1955 #> 66 NA NA TILLIS, Thomas Roland (Thom) T000476 1960 #> 67 NA NA CRAMER, Kevin C001096 1961 #> 68 NA NA HOEVEN, John H001061 1957 #> 69 NA NA PORTMAN, Robert Jones (Rob) P000449 1955 #> 70 NA NA BROWN, Sherrod B000944 1952 #> 71 NA NA INHOFE, James Mountain I000024 1934 #> 72 NA NA LANKFORD, James L000575 1968 #> 73 NA NA WYDEN, Ronald Lee W000779 1949 #> 74 NA NA MERKLEY, Jeff M001176 1956 #> 75 NA NA TOOMEY, Patrick Joseph T000461 1961 #> 76 NA NA CASEY, Robert (Bob), Jr. C001070 1960 #> 77 NA NA REED, John F. (Jack) R000122 1949 #> 78 NA NA WHITEHOUSE, Sheldon W000802 1955 #> 79 NA NA SCOTT, Tim S001184 1965 #> 80 NA NA GRAHAM, Lindsey O. G000359 1955 #> 81 NA NA THUNE, John T000250 1961 #> 82 NA NA ROUNDS, Marion Michael (Mike) R000605 1954 #> 83 NA NA BLACKBURN, Marsha B001243 1952 #> 84 NA NA ALEXANDER, Lamar A000360 1940 #> 85 NA NA CORNYN, John C001056 1952 #> 86 NA NA CRUZ, Rafael Edward (Ted) C001098 1970 #> 87 NA NA LEE, Mike L000577 1971 #> 88 NA NA ROMNEY, Willard Mitt (Mitt) R000615 1947 #> 89 NA NA LEAHY, Patrick Joseph L000174 1940 #> 90 NA NA SANDERS, Bernard S000033 1941 #> 91 NA NA WARNER, Mark W000805 1954 #> 92 NA NA KAINE, Timothy Michael (Tim) K000384 1958 #> 93 NA NA CANTWELL, Maria E. C000127 1958 #> 94 NA NA MURRAY, Patty M001111 1950 #> 95 NA NA CAPITO, Shelley Moore C001047 1953 #> 96 NA NA MANCHIN, Joe, III M001183 1947 #> 97 NA NA BALDWIN, Tammy B001230 1962 #> 98 NA NA JOHNSON, Ron J000293 1955 #> 99 NA NA BARRASSO, John A. B001261 1952 #> 100 NA NA ENZI, Michael B. E000285 1944 #> died nominate_dim1 nominate_dim2 nominate_log_likelihood #> 1 NA -0.091 0.170 -31.58891 #> 2 NA 0.431 0.526 -22.63797 #> 3 NA 0.209 -0.287 -15.00029 #> 4 NA 0.469 0.084 -18.05335 #> 5 NA -0.104 0.059 -35.88232 #> 6 NA 0.346 0.016 -19.73622 #> 7 NA 0.400 0.245 -12.10188 #> 8 NA 0.594 0.094 -33.08733 #> 9 NA -0.713 -0.078 -10.80739 #> 10 NA -0.269 -0.207 -31.80255 #> 11 NA 0.448 -0.018 -16.46835 #> 12 NA -0.212 -0.115 -34.17949 #> 13 NA -0.294 -0.181 -47.17134 #> 14 NA -0.429 -0.100 -38.90498 #> 15 NA -0.175 -0.225 -40.81844 #> 16 NA -0.232 -0.211 -25.30205 #> 17 NA 0.582 -0.294 -21.76534 #> 18 NA 0.407 0.352 -8.08169 #> 19 NA 0.402 -0.011 -9.50031 #> 20 NA 0.579 -0.107 -12.80389 #> 21 NA -0.501 -0.088 -31.64457 #> 22 NA -0.435 -0.065 -34.96180 #> 23 NA 0.510 0.290 -10.94464 #> 24 NA 0.630 0.572 -8.57312 #> 25 NA -0.356 -0.351 -51.23738 #> 26 NA -0.330 0.108 -33.91876 #> 27 NA 0.481 -0.004 -38.18633 #> 28 NA 0.784 0.620 -11.58184 #> 29 NA 0.345 -0.068 -35.19229 #> 30 NA 0.503 0.045 -12.12663 #> 31 NA 0.414 -0.092 -8.33982 #> 32 NA 0.414 0.213 -50.29245 #> 33 NA 0.403 0.002 -23.33385 #> 34 NA 0.876 -0.482 -57.96170 #> 35 NA 0.452 -0.092 -11.06320 #> 36 NA 0.558 0.283 -29.96594 #> 37 NA -0.154 -0.238 -25.91592 #> 38 NA 0.112 -0.549 -21.17594 #> 39 NA -0.324 -0.239 -39.58995 #> 40 NA -0.390 -0.185 -32.91680 #> 41 NA -0.506 -0.440 -33.64069 #> 42 NA -0.769 -0.277 -7.79274 #> 43 NA -0.244 -0.221 -48.06622 #> 44 NA -0.336 0.017 -46.23197 #> 45 NA -0.269 -0.288 -98.61275 #> 46 NA -0.389 -0.090 -29.40422 #> 47 NA 0.377 0.357 -10.16710 #> 48 NA 0.383 0.277 -7.63224 #> 49 NA 0.429 0.286 -10.04207 #> 50 NA 0.572 -0.310 -21.91135 #> 51 NA 0.546 -0.114 -28.75963 #> 52 NA -0.213 0.126 -32.47864 #> 53 NA 0.467 0.320 -8.33917 #> 54 NA 0.802 -0.265 -17.42175 #> 55 NA -0.258 0.242 -20.41785 #> 56 NA -0.368 0.325 -26.06746 #> 57 NA -0.246 -0.179 -34.52402 #> 58 NA -0.253 -0.055 -26.94159 #> 59 NA -0.365 -0.120 -48.81647 #> 60 NA -0.607 -0.202 -18.68618 #> 61 NA -0.307 -0.029 -37.74538 #> 62 NA -0.453 0.171 -35.50266 #> 63 NA -0.353 -0.390 -36.69194 #> 64 NA -0.439 -0.303 -38.75699 #> 65 NA 0.452 -0.055 -8.43347 #> 66 NA 0.421 0.047 -12.83357 #> 67 NA 0.390 0.297 -7.61101 #> 68 NA 0.341 0.331 -8.77748 #> 69 NA 0.374 -0.243 -11.15851 #> 70 NA -0.433 -0.126 -48.31060 #> 71 NA 0.554 0.041 -22.65606 #> 72 NA 0.586 0.155 -14.25792 #> 73 NA -0.323 -0.442 -39.11528 #> 74 NA -0.462 -0.774 -29.12795 #> 75 NA 0.645 -0.293 -18.57566 #> 76 NA -0.307 0.192 -39.21195 #> 77 NA -0.377 -0.212 -36.13636 #> 78 NA -0.378 -0.145 -45.59589 #> 79 NA 0.644 0.007 -17.84925 #> 80 NA 0.406 -0.173 -13.46314 #> 81 NA 0.410 0.134 -8.65937 #> 82 NA 0.384 0.067 -7.00070 #> 83 NA 0.616 0.132 -14.63792 #> 84 NA 0.324 -0.177 -12.82492 #> 85 NA 0.494 -0.004 -10.57963 #> 86 NA 0.823 -0.312 -18.13274 #> 87 NA 0.916 -0.401 -55.45187 #> 88 NA 0.368 0.576 -25.04355 #> 89 NA -0.366 -0.132 -44.56409 #> 90 NA -0.526 -0.371 -29.70131 #> 91 NA -0.199 -0.036 -23.96768 #> 92 NA -0.241 -0.078 -38.19748 #> 93 NA -0.292 -0.395 -35.25270 #> 94 NA -0.345 -0.277 -31.96662 #> 95 NA 0.261 0.056 -8.69824 #> 96 NA -0.055 0.446 -26.86967 #> 97 NA -0.510 -0.215 -45.12841 #> 98 NA 0.602 -0.295 -17.47652 #> 99 NA 0.538 0.236 -13.92419 #> 100 NA 0.542 0.193 -14.42722 #> nominate_geo_mean_probability nominate_number_of_votes #> 1 0.87903 245 #> 2 0.91242 247 #> 3 0.93686 230 #> 4 0.92725 239 #> 5 0.85613 231 #> 6 0.92260 245 #> 7 0.95219 247 #> 8 0.87463 247 #> 9 0.92622 141 #> 10 0.87919 247 #> 11 0.93447 243 #> 12 0.83047 184 #> 13 0.82615 247 #> 14 0.85262 244 #> 15 0.84653 245 #> 16 0.89954 239 #> 17 0.91330 240 #> 18 0.96702 241 #> 19 0.95338 199 #> 20 0.94539 228 #> 21 0.87351 234 #> 22 0.86752 246 #> 23 0.95596 243 #> 24 0.96547 244 #> 25 0.80848 241 #> 26 0.86398 232 #> 27 0.85234 239 #> 28 0.95401 246 #> 29 0.86721 247 #> 30 0.95093 241 #> 31 0.96667 246 #> 32 0.79481 219 #> 33 0.90986 247 #> 34 0.77724 230 #> 35 0.95181 224 #> 36 0.88353 242 #> 37 0.90039 247 #> 38 0.91784 247 #> 39 0.85135 246 #> 40 0.87476 246 #> 41 0.86556 233 #> 42 0.95740 179 #> 43 0.82316 247 #> 44 0.82610 242 #> 45 0.59833 192 #> 46 0.88777 247 #> 47 0.95967 247 #> 48 0.96920 244 #> 49 0.95984 245 #> 50 0.91511 247 #> 51 0.88751 241 #> 52 0.87679 247 #> 53 0.96599 241 #> 54 0.93026 241 #> 55 0.91973 244 #> 56 0.89867 244 #> 57 0.86956 247 #> 58 0.89666 247 #> 59 0.82067 247 #> 60 0.87162 136 #> 61 0.85220 236 #> 62 0.86407 243 #> 63 0.86196 247 #> 64 0.77230 150 #> 65 0.96337 226 #> 66 0.94793 240 #> 67 0.96916 243 #> 68 0.96467 244 #> 69 0.95583 247 #> 70 0.82037 244 #> 71 0.91027 241 #> 72 0.94391 247 #> 73 0.85075 242 #> 74 0.88876 247 #> 75 0.92461 237 #> 76 0.85321 247 #> 77 0.86390 247 #> 78 0.82892 243 #> 79 0.93001 246 #> 80 0.94610 243 #> 81 0.96555 247 #> 82 0.97002 230 #> 83 0.94200 245 #> 84 0.93992 207 #> 85 0.95757 244 #> 86 0.92604 236 #> 87 0.79522 242 #> 88 0.90358 247 #> 89 0.83369 245 #> 90 0.82036 150 #> 91 0.90420 238 #> 92 0.85230 239 #> 93 0.86598 245 #> 94 0.87578 241 #> 95 0.96381 236 #> 96 0.89532 243 #> 97 0.83239 246 #> 98 0.93115 245 #> 99 0.94519 247 #> 100 0.94281 245 #> nominate_number_of_errors conditional nokken_poole_dim1 nokken_poole_dim2 #> 1 9 NA -0.077 0.244 #> 2 11 NA 0.530 -0.032 #> 3 5 NA 0.311 -0.412 #> 4 6 NA 0.503 0.016 #> 5 10 NA -0.059 0.203 #> 6 8 NA 0.363 0.380 #> 7 4 NA 0.322 0.181 #> 8 13 NA 0.450 -0.110 #> 9 5 NA -0.773 -0.129 #> 10 11 NA -0.276 -0.077 #> 11 8 NA 0.292 0.021 #> 12 15 NA -0.271 0.022 #> 13 23 NA -0.192 -0.319 #> 14 21 NA -0.458 -0.039 #> 15 14 NA -0.196 -0.327 #> 16 9 NA -0.194 -0.240 #> 17 9 NA 0.591 -0.306 #> 18 3 NA 0.405 0.348 #> 19 2 NA 0.334 0.146 #> 20 8 NA 0.458 0.312 #> 21 14 NA -0.574 -0.052 #> 22 20 NA -0.474 -0.039 #> 23 5 NA 0.501 0.826 #> 24 5 NA 0.502 0.865 #> 25 27 NA -0.269 -0.234 #> 26 16 NA -0.388 0.338 #> 27 18 NA 0.520 -0.546 #> 28 5 NA 0.779 0.627 #> 29 13 NA 0.652 0.125 #> 30 5 NA 0.420 0.285 #> 31 0 NA 0.327 0.230 #> 32 17 NA 0.301 -0.307 #> 33 7 NA 0.368 0.056 #> 34 31 NA 0.886 -0.463 #> 35 3 NA 0.411 0.427 #> 36 14 NA 0.706 -0.168 #> 37 6 NA -0.165 -0.264 #> 38 4 NA 0.144 -0.457 #> 39 17 NA -0.284 0.017 #> 40 9 NA -0.362 -0.373 #> 41 12 NA -0.578 -0.701 #> 42 3 NA -0.808 -0.447 #> 43 23 NA -0.340 -0.237 #> 44 21 NA -0.406 -0.069 #> 45 46 NA -0.479 -0.549 #> 46 15 NA -0.422 -0.075 #> 47 3 NA 0.410 0.291 #> 48 2 NA 0.371 0.392 #> 49 2 NA 0.368 0.236 #> 50 10 NA 0.575 -0.305 #> 51 18 NA 0.547 -0.269 #> 52 12 NA -0.228 -0.054 #> 53 3 NA 0.428 0.395 #> 54 7 NA 0.722 -0.289 #> 55 2 NA -0.288 0.293 #> 56 15 NA -0.319 0.277 #> 57 17 NA -0.232 0.006 #> 58 9 NA -0.244 -0.004 #> 59 22 NA -0.386 -0.124 #> 60 9 NA -0.588 -0.356 #> 61 18 NA -0.336 -0.116 #> 62 15 NA -0.431 0.014 #> 63 18 NA -0.398 -0.314 #> 64 21 NA -0.781 -0.625 #> 65 2 NA 0.325 0.277 #> 66 7 NA 0.392 0.346 #> 67 3 NA 0.385 0.273 #> 68 3 NA 0.370 0.326 #> 69 2 NA 0.339 0.157 #> 70 21 NA -0.364 -0.068 #> 71 15 NA 0.730 -0.170 #> 72 8 NA 0.780 0.045 #> 73 19 NA -0.344 -0.603 #> 74 13 NA -0.418 -0.731 #> 75 5 NA 0.876 0.141 #> 76 20 NA -0.325 0.234 #> 77 22 NA -0.345 -0.082 #> 78 25 NA -0.321 0.035 #> 79 9 NA 0.510 0.319 #> 80 4 NA 0.297 -0.035 #> 81 3 NA 0.384 0.334 #> 82 1 NA 0.344 0.320 #> 83 6 NA 0.629 0.409 #> 84 1 NA 0.314 0.091 #> 85 3 NA 0.392 0.323 #> 86 8 NA 0.849 -0.338 #> 87 30 NA 0.870 -0.492 #> 88 11 NA 0.341 0.534 #> 89 23 NA -0.284 -0.034 #> 90 12 NA -0.940 0.214 #> 91 8 NA -0.243 -0.025 #> 92 15 NA -0.268 0.033 #> 93 19 NA -0.293 -0.358 #> 94 13 NA -0.394 -0.027 #> 95 0 NA 0.331 0.264 #> 96 5 NA -0.029 0.314 #> 97 29 NA -0.395 -0.183 #> 98 6 NA 0.570 0.009 #> 99 10 NA 0.671 0.263 #> 100 5 NA 0.487 0.856