In this project, you’re given a text file with chess tournament results where the information has some structure. Your job is to create an R Markdown file that generates a .CSV file (that could for example be imported into a SQL database) with the following information for all of the players:
Player’s Name, Player’s State, Total Number of Points, Player’s Pre-Rating, and Average Pre Chess Rating of Opponents For the first player, the information would be: Gary Hua, ON, 6.0, 1794, 1605 1605 was calculated by using the pre-tournament opponents’ ratings of 1436, 1563, 1600, 1610, 1649, 1663, 1716, and dividing by the total number of games played.
If you have questions about the meaning of the data or the results, please post them on the discussion forum. Data science, like chess, is a game of back and forth… The chess rating system (invented by a Minnesota statistician named Arpad Elo) has been used in many other contexts, including assessing relative strength of employment candidates by human resource departments.
You may substitute another text file (or set of text files, or data scraped from web pages) of similar or greater complexity, and create your own assignment and solution. You may work in a small team. All of your code should be in an R markdown file (and published to rpubs.com); with your data accessible for the person running the script.
tournament <- read.table("/Users/ekhahm/desktop/tournamentinfo.txt",sep="\n")
tournamentinfo <- tournament[-c(1:4),]
tournamentinfo
## [1] 1 | GARY HUA |6.0 |W 39|W 21|W 18|W 14|W 7|D 12|D 4|
## [2] ON | 15445895 / R: 1794 ->1817 |N:2 |W |B |W |B |W |B |W |
## [3] -----------------------------------------------------------------------------------------
## [4] 2 | DAKSHESH DARURI |6.0 |W 63|W 58|L 4|W 17|W 16|W 20|W 7|
## [5] MI | 14598900 / R: 1553 ->1663 |N:2 |B |W |B |W |B |W |B |
## [6] -----------------------------------------------------------------------------------------
## [7] 3 | ADITYA BAJAJ |6.0 |L 8|W 61|W 25|W 21|W 11|W 13|W 12|
## [8] MI | 14959604 / R: 1384 ->1640 |N:2 |W |B |W |B |W |B |W |
## [9] -----------------------------------------------------------------------------------------
## [10] 4 | PATRICK H SCHILLING |5.5 |W 23|D 28|W 2|W 26|D 5|W 19|D 1|
## [11] MI | 12616049 / R: 1716 ->1744 |N:2 |W |B |W |B |W |B |B |
## [12] -----------------------------------------------------------------------------------------
## [13] 5 | HANSHI ZUO |5.5 |W 45|W 37|D 12|D 13|D 4|W 14|W 17|
## [14] MI | 14601533 / R: 1655 ->1690 |N:2 |B |W |B |W |B |W |B |
## [15] -----------------------------------------------------------------------------------------
## [16] 6 | HANSEN SONG |5.0 |W 34|D 29|L 11|W 35|D 10|W 27|W 21|
## [17] OH | 15055204 / R: 1686 ->1687 |N:3 |W |B |W |B |B |W |B |
## [18] -----------------------------------------------------------------------------------------
## [19] 7 | GARY DEE SWATHELL |5.0 |W 57|W 46|W 13|W 11|L 1|W 9|L 2|
## [20] MI | 11146376 / R: 1649 ->1673 |N:3 |W |B |W |B |B |W |W |
## [21] -----------------------------------------------------------------------------------------
## [22] 8 | EZEKIEL HOUGHTON |5.0 |W 3|W 32|L 14|L 9|W 47|W 28|W 19|
## [23] MI | 15142253 / R: 1641P17->1657P24 |N:3 |B |W |B |W |B |W |W |
## [24] -----------------------------------------------------------------------------------------
## [25] 9 | STEFANO LEE |5.0 |W 25|L 18|W 59|W 8|W 26|L 7|W 20|
## [26] ON | 14954524 / R: 1411 ->1564 |N:2 |W |B |W |B |W |B |B |
## [27] -----------------------------------------------------------------------------------------
## [28] 10 | ANVIT RAO |5.0 |D 16|L 19|W 55|W 31|D 6|W 25|W 18|
## [29] MI | 14150362 / R: 1365 ->1544 |N:3 |W |W |B |B |W |B |W |
## [30] -----------------------------------------------------------------------------------------
## [31] 11 | CAMERON WILLIAM MC LEMAN |4.5 |D 38|W 56|W 6|L 7|L 3|W 34|W 26|
## [32] MI | 12581589 / R: 1712 ->1696 |N:3 |B |W |B |W |B |W |B |
## [33] -----------------------------------------------------------------------------------------
## [34] 12 | KENNETH J TACK |4.5 |W 42|W 33|D 5|W 38|H |D 1|L 3|
## [35] MI | 12681257 / R: 1663 ->1670 |N:3 |W |B |W |B | |W |B |
## [36] -----------------------------------------------------------------------------------------
## [37] 13 | TORRANCE HENRY JR |4.5 |W 36|W 27|L 7|D 5|W 33|L 3|W 32|
## [38] MI | 15082995 / R: 1666 ->1662 |N:3 |B |W |B |B |W |W |B |
## [39] -----------------------------------------------------------------------------------------
## [40] 14 | BRADLEY SHAW |4.5 |W 54|W 44|W 8|L 1|D 27|L 5|W 31|
## [41] MI | 10131499 / R: 1610 ->1618 |N:3 |W |B |W |W |B |B |W |
## [42] -----------------------------------------------------------------------------------------
## [43] 15 | ZACHARY JAMES HOUGHTON |4.5 |D 19|L 16|W 30|L 22|W 54|W 33|W 38|
## [44] MI | 15619130 / R: 1220P13->1416P20 |N:3 |B |B |W |W |B |B |W |
## [45] -----------------------------------------------------------------------------------------
## [46] 16 | MIKE NIKITIN |4.0 |D 10|W 15|H |W 39|L 2|W 36|U |
## [47] MI | 10295068 / R: 1604 ->1613 |N:3 |B |W | |B |W |B | |
## [48] -----------------------------------------------------------------------------------------
## [49] 17 | RONALD GRZEGORCZYK |4.0 |W 48|W 41|L 26|L 2|W 23|W 22|L 5|
## [50] MI | 10297702 / R: 1629 ->1610 |N:3 |W |B |W |B |W |B |W |
## [51] -----------------------------------------------------------------------------------------
## [52] 18 | DAVID SUNDEEN |4.0 |W 47|W 9|L 1|W 32|L 19|W 38|L 10|
## [53] MI | 11342094 / R: 1600 ->1600 |N:3 |B |W |B |W |B |W |B |
## [54] -----------------------------------------------------------------------------------------
## [55] 19 | DIPANKAR ROY |4.0 |D 15|W 10|W 52|D 28|W 18|L 4|L 8|
## [56] MI | 14862333 / R: 1564 ->1570 |N:3 |W |B |W |B |W |W |B |
## [57] -----------------------------------------------------------------------------------------
## [58] 20 | JASON ZHENG |4.0 |L 40|W 49|W 23|W 41|W 28|L 2|L 9|
## [59] MI | 14529060 / R: 1595 ->1569 |N:4 |W |B |W |B |W |B |W |
## [60] -----------------------------------------------------------------------------------------
## [61] 21 | DINH DANG BUI |4.0 |W 43|L 1|W 47|L 3|W 40|W 39|L 6|
## [62] ON | 15495066 / R: 1563P22->1562 |N:3 |B |W |B |W |W |B |W |
## [63] -----------------------------------------------------------------------------------------
## [64] 22 | EUGENE L MCCLURE |4.0 |W 64|D 52|L 28|W 15|H |L 17|W 40|
## [65] MI | 12405534 / R: 1555 ->1529 |N:4 |W |B |W |B | |W |B |
## [66] -----------------------------------------------------------------------------------------
## [67] 23 | ALAN BUI |4.0 |L 4|W 43|L 20|W 58|L 17|W 37|W 46|
## [68] ON | 15030142 / R: 1363 ->1371 | |B |W |B |W |B |W |B |
## [69] -----------------------------------------------------------------------------------------
## [70] 24 | MICHAEL R ALDRICH |4.0 |L 28|L 47|W 43|L 25|W 60|W 44|W 39|
## [71] MI | 13469010 / R: 1229 ->1300 |N:4 |B |W |B |B |W |W |B |
## [72] -----------------------------------------------------------------------------------------
## [73] 25 | LOREN SCHWIEBERT |3.5 |L 9|W 53|L 3|W 24|D 34|L 10|W 47|
## [74] MI | 12486656 / R: 1745 ->1681 |N:4 |B |W |B |W |B |W |B |
## [75] -----------------------------------------------------------------------------------------
## [76] 26 | MAX ZHU |3.5 |W 49|W 40|W 17|L 4|L 9|D 32|L 11|
## [77] ON | 15131520 / R: 1579 ->1564 |N:4 |B |W |B |W |B |W |W |
## [78] -----------------------------------------------------------------------------------------
## [79] 27 | GAURAV GIDWANI |3.5 |W 51|L 13|W 46|W 37|D 14|L 6|U |
## [80] MI | 14476567 / R: 1552 ->1539 |N:4 |W |B |W |B |W |B | |
## [81] -----------------------------------------------------------------------------------------
## [82] 28 | SOFIA ADINA STANESCU-BELLU |3.5 |W 24|D 4|W 22|D 19|L 20|L 8|D 36|
## [83] MI | 14882954 / R: 1507 ->1513 |N:3 |W |W |B |W |B |B |W |
## [84] -----------------------------------------------------------------------------------------
## [85] 29 | CHIEDOZIE OKORIE |3.5 |W 50|D 6|L 38|L 34|W 52|W 48|U |
## [86] MI | 15323285 / R: 1602P6 ->1508P12 |N:4 |B |W |B |W |W |B | |
## [87] -----------------------------------------------------------------------------------------
## [88] 30 | GEORGE AVERY JONES |3.5 |L 52|D 64|L 15|W 55|L 31|W 61|W 50|
## [89] ON | 12577178 / R: 1522 ->1444 | |W |B |B |W |W |B |B |
## [90] -----------------------------------------------------------------------------------------
## [91] 31 | RISHI SHETTY |3.5 |L 58|D 55|W 64|L 10|W 30|W 50|L 14|
## [92] MI | 15131618 / R: 1494 ->1444 | |B |W |B |W |B |W |B |
## [93] -----------------------------------------------------------------------------------------
## [94] 32 | JOSHUA PHILIP MATHEWS |3.5 |W 61|L 8|W 44|L 18|W 51|D 26|L 13|
## [95] ON | 14073750 / R: 1441 ->1433 |N:4 |W |B |W |B |W |B |W |
## [96] -----------------------------------------------------------------------------------------
## [97] 33 | JADE GE |3.5 |W 60|L 12|W 50|D 36|L 13|L 15|W 51|
## [98] MI | 14691842 / R: 1449 ->1421 | |B |W |B |W |B |W |B |
## [99] -----------------------------------------------------------------------------------------
## [100] 34 | MICHAEL JEFFERY THOMAS |3.5 |L 6|W 60|L 37|W 29|D 25|L 11|W 52|
## [101] MI | 15051807 / R: 1399 ->1400 | |B |W |B |B |W |B |W |
## [102] -----------------------------------------------------------------------------------------
## [103] 35 | JOSHUA DAVID LEE |3.5 |L 46|L 38|W 56|L 6|W 57|D 52|W 48|
## [104] MI | 14601397 / R: 1438 ->1392 | |W |W |B |W |B |B |W |
## [105] -----------------------------------------------------------------------------------------
## [106] 36 | SIDDHARTH JHA |3.5 |L 13|W 57|W 51|D 33|H |L 16|D 28|
## [107] MI | 14773163 / R: 1355 ->1367 |N:4 |W |B |W |B | |W |B |
## [108] -----------------------------------------------------------------------------------------
## [109] 37 | AMIYATOSH PWNANANDAM |3.5 |B |L 5|W 34|L 27|H |L 23|W 61|
## [110] MI | 15489571 / R: 980P12->1077P17 | | |B |W |W | |B |W |
## [111] -----------------------------------------------------------------------------------------
## [112] 38 | BRIAN LIU |3.0 |D 11|W 35|W 29|L 12|H |L 18|L 15|
## [113] MI | 15108523 / R: 1423 ->1439 |N:4 |W |B |W |W | |B |B |
## [114] -----------------------------------------------------------------------------------------
## [115] 39 | JOEL R HENDON |3.0 |L 1|W 54|W 40|L 16|W 44|L 21|L 24|
## [116] MI | 12923035 / R: 1436P23->1413 |N:4 |B |W |B |W |B |W |W |
## [117] -----------------------------------------------------------------------------------------
## [118] 40 | FOREST ZHANG |3.0 |W 20|L 26|L 39|W 59|L 21|W 56|L 22|
## [119] MI | 14892710 / R: 1348 ->1346 | |B |B |W |W |B |W |W |
## [120] -----------------------------------------------------------------------------------------
## [121] 41 | KYLE WILLIAM MURPHY |3.0 |W 59|L 17|W 58|L 20|X |U |U |
## [122] MI | 15761443 / R: 1403P5 ->1341P9 | |B |W |B |W | | | |
## [123] -----------------------------------------------------------------------------------------
## [124] 42 | JARED GE |3.0 |L 12|L 50|L 57|D 60|D 61|W 64|W 56|
## [125] MI | 14462326 / R: 1332 ->1256 | |B |W |B |B |W |W |B |
## [126] -----------------------------------------------------------------------------------------
## [127] 43 | ROBERT GLEN VASEY |3.0 |L 21|L 23|L 24|W 63|W 59|L 46|W 55|
## [128] MI | 14101068 / R: 1283 ->1244 | |W |B |W |W |B |B |W |
## [129] -----------------------------------------------------------------------------------------
## [130] 44 | JUSTIN D SCHILLING |3.0 |B |L 14|L 32|W 53|L 39|L 24|W 59|
## [131] MI | 15323504 / R: 1199 ->1199 | | |W |B |B |W |B |W |
## [132] -----------------------------------------------------------------------------------------
## [133] 45 | DEREK YAN |3.0 |L 5|L 51|D 60|L 56|W 63|D 55|W 58|
## [134] MI | 15372807 / R: 1242 ->1191 | |W |B |W |B |W |B |W |
## [135] -----------------------------------------------------------------------------------------
## [136] 46 | JACOB ALEXANDER LAVALLEY |3.0 |W 35|L 7|L 27|L 50|W 64|W 43|L 23|
## [137] MI | 15490981 / R: 377P3 ->1076P10 | |B |W |B |W |B |W |W |
## [138] -----------------------------------------------------------------------------------------
## [139] 47 | ERIC WRIGHT |2.5 |L 18|W 24|L 21|W 61|L 8|D 51|L 25|
## [140] MI | 12533115 / R: 1362 ->1341 | |W |B |W |B |W |B |W |
## [141] -----------------------------------------------------------------------------------------
## [142] 48 | DANIEL KHAIN |2.5 |L 17|W 63|H |D 52|H |L 29|L 35|
## [143] MI | 14369165 / R: 1382 ->1335 | |B |W | |B | |W |B |
## [144] -----------------------------------------------------------------------------------------
## [145] 49 | MICHAEL J MARTIN |2.5 |L 26|L 20|D 63|D 64|W 58|H |U |
## [146] MI | 12531685 / R: 1291P12->1259P17 | |W |W |B |W |B | | |
## [147] -----------------------------------------------------------------------------------------
## [148] 50 | SHIVAM JHA |2.5 |L 29|W 42|L 33|W 46|H |L 31|L 30|
## [149] MI | 14773178 / R: 1056 ->1111 | |W |B |W |B | |B |W |
## [150] -----------------------------------------------------------------------------------------
## [151] 51 | TEJAS AYYAGARI |2.5 |L 27|W 45|L 36|W 57|L 32|D 47|L 33|
## [152] MI | 15205474 / R: 1011 ->1097 | |B |W |B |W |B |W |W |
## [153] -----------------------------------------------------------------------------------------
## [154] 52 | ETHAN GUO |2.5 |W 30|D 22|L 19|D 48|L 29|D 35|L 34|
## [155] MI | 14918803 / R: 935 ->1092 |N:4 |B |W |B |W |B |W |B |
## [156] -----------------------------------------------------------------------------------------
## [157] 53 | JOSE C YBARRA |2.0 |H |L 25|H |L 44|U |W 57|U |
## [158] MI | 12578849 / R: 1393 ->1359 | | |B | |W | |W | |
## [159] -----------------------------------------------------------------------------------------
## [160] 54 | LARRY HODGE |2.0 |L 14|L 39|L 61|B |L 15|L 59|W 64|
## [161] MI | 12836773 / R: 1270 ->1200 | |B |B |W | |W |B |W |
## [162] -----------------------------------------------------------------------------------------
## [163] 55 | ALEX KONG |2.0 |L 62|D 31|L 10|L 30|B |D 45|L 43|
## [164] MI | 15412571 / R: 1186 ->1163 | |W |B |W |B | |W |B |
## [165] -----------------------------------------------------------------------------------------
## [166] 56 | MARISA RICCI |2.0 |H |L 11|L 35|W 45|H |L 40|L 42|
## [167] MI | 14679887 / R: 1153 ->1140 | | |B |W |W | |B |W |
## [168] -----------------------------------------------------------------------------------------
## [169] 57 | MICHAEL LU |2.0 |L 7|L 36|W 42|L 51|L 35|L 53|B |
## [170] MI | 15113330 / R: 1092 ->1079 | |B |W |W |B |W |B | |
## [171] -----------------------------------------------------------------------------------------
## [172] 58 | VIRAJ MOHILE |2.0 |W 31|L 2|L 41|L 23|L 49|B |L 45|
## [173] MI | 14700365 / R: 917 -> 941 | |W |B |W |B |W | |B |
## [174] -----------------------------------------------------------------------------------------
## [175] 59 | SEAN M MC CORMICK |2.0 |L 41|B |L 9|L 40|L 43|W 54|L 44|
## [176] MI | 12841036 / R: 853 -> 878 | |W | |B |B |W |W |B |
## [177] -----------------------------------------------------------------------------------------
## [178] 60 | JULIA SHEN |1.5 |L 33|L 34|D 45|D 42|L 24|H |U |
## [179] MI | 14579262 / R: 967 -> 984 | |W |B |B |W |B | | |
## [180] -----------------------------------------------------------------------------------------
## [181] 61 | JEZZEL FARKAS |1.5 |L 32|L 3|W 54|L 47|D 42|L 30|L 37|
## [182] ON | 15771592 / R: 955P11-> 979P18 | |B |W |B |W |B |W |B |
## [183] -----------------------------------------------------------------------------------------
## [184] 62 | ASHWIN BALAJI |1.0 |W 55|U |U |U |U |U |U |
## [185] MI | 15219542 / R: 1530 ->1535 | |B | | | | | | |
## [186] -----------------------------------------------------------------------------------------
## [187] 63 | THOMAS JOSEPH HOSMER |1.0 |L 2|L 48|D 49|L 43|L 45|H |U |
## [188] MI | 15057092 / R: 1175 ->1125 | |W |B |W |B |B | | |
## [189] -----------------------------------------------------------------------------------------
## [190] 64 | BEN LI |1.0 |L 22|D 30|L 31|D 49|L 46|L 42|L 54|
## [191] MI | 15006561 / R: 1163 ->1112 | |B |W |W |B |W |B |B |
## [192] -----------------------------------------------------------------------------------------
## 131 Levels: 1 | GARY HUA |6.0 |W 39|W 21|W 18|W 14|W 7|D 12|D 4| ...
library(stringr)
#Extract players' names
playername<-unlist(str_extract_all(tournamentinfo, "[A-Z]+\\s[A-Z]+\\s?[A-Z]*\\s[A-Z]*"))
#Extract players' states
playerstate <- unlist(str_extract_all(tournamentinfo, "^\\s+[A-Z]{2}"))
playerstates <- str_remove_all(playerstate, "\\s+")
#Extract total number of points
totalpoint <- unlist(str_extract_all(tournamentinfo, "\\|[[:digit:]]+\\.[[:digit:]]"))
totalpoints <- str_remove_all(totalpoint, "\\|")
#Extract players' pre-ratings
pre_rating <- unlist(str_extract_all(tournamentinfo, "R:+\\s+[[:digit:]]{1,}"))
pre_ratings <- str_remove_all(pre_rating, "R:+\\s+")
#Combine them into data.frame
tournament_table <- data.frame(number=seq.int(1,64),playername, playerstates, totalpoints, pre_ratings)
tournament_table
## number playername playerstates totalpoints pre_ratings
## 1 1 GARY HUA ON 6.0 1794
## 2 2 DAKSHESH DARURI MI 6.0 1553
## 3 3 ADITYA BAJAJ MI 6.0 1384
## 4 4 PATRICK H SCHILLING MI 5.5 1716
## 5 5 HANSHI ZUO MI 5.5 1655
## 6 6 HANSEN SONG OH 5.0 1686
## 7 7 GARY DEE SWATHELL MI 5.0 1649
## 8 8 EZEKIEL HOUGHTON MI 5.0 1641
## 9 9 STEFANO LEE ON 5.0 1411
## 10 10 ANVIT RAO MI 5.0 1365
## 11 11 CAMERON WILLIAM MC LEMAN MI 4.5 1712
## 12 12 KENNETH J TACK MI 4.5 1663
## 13 13 TORRANCE HENRY JR MI 4.5 1666
## 14 14 BRADLEY SHAW MI 4.5 1610
## 15 15 ZACHARY JAMES HOUGHTON MI 4.5 1220
## 16 16 MIKE NIKITIN MI 4.0 1604
## 17 17 RONALD GRZEGORCZYK MI 4.0 1629
## 18 18 DAVID SUNDEEN MI 4.0 1600
## 19 19 DIPANKAR ROY MI 4.0 1564
## 20 20 JASON ZHENG MI 4.0 1595
## 21 21 DINH DANG BUI ON 4.0 1563
## 22 22 EUGENE L MCCLURE MI 4.0 1555
## 23 23 ALAN BUI ON 4.0 1363
## 24 24 MICHAEL R ALDRICH MI 4.0 1229
## 25 25 LOREN SCHWIEBERT MI 3.5 1745
## 26 26 MAX ZHU ON 3.5 1579
## 27 27 GAURAV GIDWANI MI 3.5 1552
## 28 28 SOFIA ADINA STANESCU MI 3.5 1507
## 29 29 CHIEDOZIE OKORIE MI 3.5 1602
## 30 30 GEORGE AVERY JONES ON 3.5 1522
## 31 31 RISHI SHETTY MI 3.5 1494
## 32 32 JOSHUA PHILIP MATHEWS ON 3.5 1441
## 33 33 JADE GE MI 3.5 1449
## 34 34 MICHAEL JEFFERY THOMAS MI 3.5 1399
## 35 35 JOSHUA DAVID LEE MI 3.5 1438
## 36 36 SIDDHARTH JHA MI 3.5 1355
## 37 37 AMIYATOSH PWNANANDAM MI 3.5 980
## 38 38 BRIAN LIU MI 3.0 1423
## 39 39 JOEL R HENDON MI 3.0 1436
## 40 40 FOREST ZHANG MI 3.0 1348
## 41 41 KYLE WILLIAM MURPHY MI 3.0 1403
## 42 42 JARED GE MI 3.0 1332
## 43 43 ROBERT GLEN VASEY MI 3.0 1283
## 44 44 JUSTIN D SCHILLING MI 3.0 1199
## 45 45 DEREK YAN MI 3.0 1242
## 46 46 JACOB ALEXANDER LAVALLEY MI 3.0 377
## 47 47 ERIC WRIGHT MI 2.5 1362
## 48 48 DANIEL KHAIN MI 2.5 1382
## 49 49 MICHAEL J MARTIN MI 2.5 1291
## 50 50 SHIVAM JHA MI 2.5 1056
## 51 51 TEJAS AYYAGARI MI 2.5 1011
## 52 52 ETHAN GUO MI 2.5 935
## 53 53 JOSE C YBARRA MI 2.0 1393
## 54 54 LARRY HODGE MI 2.0 1270
## 55 55 ALEX KONG MI 2.0 1186
## 56 56 MARISA RICCI MI 2.0 1153
## 57 57 MICHAEL LU MI 2.0 1092
## 58 58 VIRAJ MOHILE MI 2.0 917
## 59 59 SEAN M MC CORMICK MI 2.0 853
## 60 60 JULIA SHEN MI 1.5 967
## 61 61 JEZZEL FARKAS ON 1.5 955
## 62 62 ASHWIN BALAJI MI 1.0 1530
## 63 63 THOMAS JOSEPH HOSMER MI 1.0 1175
## 64 64 BEN LI MI 1.0 1163
# Convert text file into dataframe
tournamentinfo1 <- as.data.frame(matrix(unlist(str_split(tournamentinfo, "\\|")), nrow= 64, byrow=T), stringAsFactors= FALSE)
# Select columns of interest
result_match <- data.frame(tournamentinfo1$V1, tournamentinfo1$V4, tournamentinfo1$V5, tournamentinfo1$V6,tournamentinfo1$V7, tournamentinfo1$V8, tournamentinfo1$V9,tournamentinfo1$V10)
# Change column names
names(result_match) <- c("number", "R1", "R2", "R3", "R4", "R5", "R6", "R7")
# Extract only numbers
result_match$R1 <- str_extract(result_match$R1, "[:digit:]+")
result_match$R2 <- str_extract(result_match$R2, "[:digit:]+")
result_match$R3 <- str_extract(result_match$R3, "[:digit:]+")
result_match$R4 <- str_extract(result_match$R4, "[:digit:]+")
result_match$R5 <- str_extract(result_match$R5, "[:digit:]+")
result_match$R6 <- str_extract(result_match$R6, "[:digit:]+")
result_match$R7 <- str_extract(result_match$R7, "[:digit:]+")
result_match
## number R1 R2 R3 R4 R5 R6 R7
## 1 1 39 21 18 14 7 12 4
## 2 2 63 58 4 17 16 20 7
## 3 3 8 61 25 21 11 13 12
## 4 4 23 28 2 26 5 19 1
## 5 5 45 37 12 13 4 14 17
## 6 6 34 29 11 35 10 27 21
## 7 7 57 46 13 11 1 9 2
## 8 8 3 32 14 9 47 28 19
## 9 9 25 18 59 8 26 7 20
## 10 10 16 19 55 31 6 25 18
## 11 11 38 56 6 7 3 34 26
## 12 12 42 33 5 38 <NA> 1 3
## 13 13 36 27 7 5 33 3 32
## 14 14 54 44 8 1 27 5 31
## 15 15 19 16 30 22 54 33 38
## 16 16 10 15 <NA> 39 2 36 <NA>
## 17 17 48 41 26 2 23 22 5
## 18 18 47 9 1 32 19 38 10
## 19 19 15 10 52 28 18 4 8
## 20 20 40 49 23 41 28 2 9
## 21 21 43 1 47 3 40 39 6
## 22 22 64 52 28 15 <NA> 17 40
## 23 23 4 43 20 58 17 37 46
## 24 24 28 47 43 25 60 44 39
## 25 25 9 53 3 24 34 10 47
## 26 26 49 40 17 4 9 32 11
## 27 27 51 13 46 37 14 6 <NA>
## 28 28 24 4 22 19 20 8 36
## 29 29 50 6 38 34 52 48 <NA>
## 30 30 52 64 15 55 31 61 50
## 31 31 58 55 64 10 30 50 14
## 32 32 61 8 44 18 51 26 13
## 33 33 60 12 50 36 13 15 51
## 34 34 6 60 37 29 25 11 52
## 35 35 46 38 56 6 57 52 48
## 36 36 13 57 51 33 <NA> 16 28
## 37 37 <NA> 5 34 27 <NA> 23 61
## 38 38 11 35 29 12 <NA> 18 15
## 39 39 1 54 40 16 44 21 24
## 40 40 20 26 39 59 21 56 22
## 41 41 59 17 58 20 <NA> <NA> <NA>
## 42 42 12 50 57 60 61 64 56
## 43 43 21 23 24 63 59 46 55
## 44 44 <NA> 14 32 53 39 24 59
## 45 45 5 51 60 56 63 55 58
## 46 46 35 7 27 50 64 43 23
## 47 47 18 24 21 61 8 51 25
## 48 48 17 63 <NA> 52 <NA> 29 35
## 49 49 26 20 63 64 58 <NA> <NA>
## 50 50 29 42 33 46 <NA> 31 30
## 51 51 27 45 36 57 32 47 33
## 52 52 30 22 19 48 29 35 34
## 53 53 <NA> 25 <NA> 44 <NA> 57 <NA>
## 54 54 14 39 61 <NA> 15 59 64
## 55 55 62 31 10 30 <NA> 45 43
## 56 56 <NA> 11 35 45 <NA> 40 42
## 57 57 7 36 42 51 35 53 <NA>
## 58 58 31 2 41 23 49 <NA> 45
## 59 59 41 <NA> 9 40 43 54 44
## 60 60 33 34 45 42 24 <NA> <NA>
## 61 61 32 3 54 47 42 30 37
## 62 62 55 <NA> <NA> <NA> <NA> <NA> <NA>
## 63 63 2 48 49 43 45 <NA> <NA>
## 64 64 22 30 31 49 46 42 54
# Calculate average pre chess rating of opponents
avg_pre_rating <- array(0, dim=nrow(tournament_table))
for ( i in 1:64){
avg_pre_rating[i]<- floor(mean(c(as.numeric(str_trim(tournament_table$pre_ratings[as.numeric(result_match$R1[i])])),
as.numeric(str_trim(tournament_table$pre_ratings[as.numeric(result_match$R2[i])])),
as.numeric(str_trim(tournament_table$pre_ratings[as.numeric(result_match$R3[i])])),
as.numeric(str_trim(tournament_table$pre_ratings[as.numeric(result_match$R4[i])])),
as.numeric(str_trim(tournament_table$pre_ratings[as.numeric(result_match$R5[i])])),
as.numeric(str_trim(tournament_table$pre_ratings[as.numeric(result_match$R6[i])])),
as.numeric(str_trim(tournament_table$pre_ratings[as.numeric(result_match$R7[i])]))), na.rm = TRUE))
};
# Add average_pre_rating column on tournament_table
tournament_table$avg_pre_rating <- avg_pre_rating
tournament_table
## number playername playerstates totalpoints pre_ratings
## 1 1 GARY HUA ON 6.0 1794
## 2 2 DAKSHESH DARURI MI 6.0 1553
## 3 3 ADITYA BAJAJ MI 6.0 1384
## 4 4 PATRICK H SCHILLING MI 5.5 1716
## 5 5 HANSHI ZUO MI 5.5 1655
## 6 6 HANSEN SONG OH 5.0 1686
## 7 7 GARY DEE SWATHELL MI 5.0 1649
## 8 8 EZEKIEL HOUGHTON MI 5.0 1641
## 9 9 STEFANO LEE ON 5.0 1411
## 10 10 ANVIT RAO MI 5.0 1365
## 11 11 CAMERON WILLIAM MC LEMAN MI 4.5 1712
## 12 12 KENNETH J TACK MI 4.5 1663
## 13 13 TORRANCE HENRY JR MI 4.5 1666
## 14 14 BRADLEY SHAW MI 4.5 1610
## 15 15 ZACHARY JAMES HOUGHTON MI 4.5 1220
## 16 16 MIKE NIKITIN MI 4.0 1604
## 17 17 RONALD GRZEGORCZYK MI 4.0 1629
## 18 18 DAVID SUNDEEN MI 4.0 1600
## 19 19 DIPANKAR ROY MI 4.0 1564
## 20 20 JASON ZHENG MI 4.0 1595
## 21 21 DINH DANG BUI ON 4.0 1563
## 22 22 EUGENE L MCCLURE MI 4.0 1555
## 23 23 ALAN BUI ON 4.0 1363
## 24 24 MICHAEL R ALDRICH MI 4.0 1229
## 25 25 LOREN SCHWIEBERT MI 3.5 1745
## 26 26 MAX ZHU ON 3.5 1579
## 27 27 GAURAV GIDWANI MI 3.5 1552
## 28 28 SOFIA ADINA STANESCU MI 3.5 1507
## 29 29 CHIEDOZIE OKORIE MI 3.5 1602
## 30 30 GEORGE AVERY JONES ON 3.5 1522
## 31 31 RISHI SHETTY MI 3.5 1494
## 32 32 JOSHUA PHILIP MATHEWS ON 3.5 1441
## 33 33 JADE GE MI 3.5 1449
## 34 34 MICHAEL JEFFERY THOMAS MI 3.5 1399
## 35 35 JOSHUA DAVID LEE MI 3.5 1438
## 36 36 SIDDHARTH JHA MI 3.5 1355
## 37 37 AMIYATOSH PWNANANDAM MI 3.5 980
## 38 38 BRIAN LIU MI 3.0 1423
## 39 39 JOEL R HENDON MI 3.0 1436
## 40 40 FOREST ZHANG MI 3.0 1348
## 41 41 KYLE WILLIAM MURPHY MI 3.0 1403
## 42 42 JARED GE MI 3.0 1332
## 43 43 ROBERT GLEN VASEY MI 3.0 1283
## 44 44 JUSTIN D SCHILLING MI 3.0 1199
## 45 45 DEREK YAN MI 3.0 1242
## 46 46 JACOB ALEXANDER LAVALLEY MI 3.0 377
## 47 47 ERIC WRIGHT MI 2.5 1362
## 48 48 DANIEL KHAIN MI 2.5 1382
## 49 49 MICHAEL J MARTIN MI 2.5 1291
## 50 50 SHIVAM JHA MI 2.5 1056
## 51 51 TEJAS AYYAGARI MI 2.5 1011
## 52 52 ETHAN GUO MI 2.5 935
## 53 53 JOSE C YBARRA MI 2.0 1393
## 54 54 LARRY HODGE MI 2.0 1270
## 55 55 ALEX KONG MI 2.0 1186
## 56 56 MARISA RICCI MI 2.0 1153
## 57 57 MICHAEL LU MI 2.0 1092
## 58 58 VIRAJ MOHILE MI 2.0 917
## 59 59 SEAN M MC CORMICK MI 2.0 853
## 60 60 JULIA SHEN MI 1.5 967
## 61 61 JEZZEL FARKAS ON 1.5 955
## 62 62 ASHWIN BALAJI MI 1.0 1530
## 63 63 THOMAS JOSEPH HOSMER MI 1.0 1175
## 64 64 BEN LI MI 1.0 1163
## avg_pre_rating
## 1 1605
## 2 1469
## 3 1563
## 4 1573
## 5 1500
## 6 1518
## 7 1372
## 8 1468
## 9 1523
## 10 1554
## 11 1467
## 12 1506
## 13 1497
## 14 1515
## 15 1483
## 16 1385
## 17 1498
## 18 1480
## 19 1426
## 20 1410
## 21 1470
## 22 1300
## 23 1213
## 24 1357
## 25 1363
## 26 1506
## 27 1221
## 28 1522
## 29 1313
## 30 1144
## 31 1259
## 32 1378
## 33 1276
## 34 1375
## 35 1149
## 36 1388
## 37 1384
## 38 1539
## 39 1429
## 40 1390
## 41 1248
## 42 1149
## 43 1106
## 44 1327
## 45 1152
## 46 1357
## 47 1392
## 48 1355
## 49 1285
## 50 1296
## 51 1356
## 52 1494
## 53 1345
## 54 1206
## 55 1406
## 56 1414
## 57 1363
## 58 1391
## 59 1319
## 60 1330
## 61 1327
## 62 1186
## 63 1350
## 64 1263
write.csv(tournament_table, file = "Data607project1.csv")