Using readLines, I input the file of the Chess Tournament data:
df <- readLines("https://raw.githubusercontent.com/moham6839/Data_607_Project_1/main/tournamentinfo.txt")## Warning in
## readLines("https://raw.githubusercontent.com/moham6839/Data_607_Project_1/main/tournamentinfo.txt"):
## incomplete final line found on
## 'https://raw.githubusercontent.com/moham6839/Data_607_Project_1/main/tournamentinfo.txt'df## [1] "-----------------------------------------------------------------------------------------"
## [2] " Pair | Player Name |Total|Round|Round|Round|Round|Round|Round|Round| "
## [3] " Num | USCF ID / Rtg (Pre->Post) | Pts | 1 | 2 | 3 | 4 | 5 | 6 | 7 | "
## [4] "-----------------------------------------------------------------------------------------"
## [5] " 1 | GARY HUA |6.0 |W 39|W 21|W 18|W 14|W 7|D 12|D 4|"
## [6] " ON | 15445895 / R: 1794 ->1817 |N:2 |W |B |W |B |W |B |W |"
## [7] "-----------------------------------------------------------------------------------------"
## [8] " 2 | DAKSHESH DARURI |6.0 |W 63|W 58|L 4|W 17|W 16|W 20|W 7|"
## [9] " MI | 14598900 / R: 1553 ->1663 |N:2 |B |W |B |W |B |W |B |"
## [10] "-----------------------------------------------------------------------------------------"
## [11] " 3 | ADITYA BAJAJ |6.0 |L 8|W 61|W 25|W 21|W 11|W 13|W 12|"
## [12] " MI | 14959604 / R: 1384 ->1640 |N:2 |W |B |W |B |W |B |W |"
## [13] "-----------------------------------------------------------------------------------------"
## [14] " 4 | PATRICK H SCHILLING |5.5 |W 23|D 28|W 2|W 26|D 5|W 19|D 1|"
## [15] " MI | 12616049 / R: 1716 ->1744 |N:2 |W |B |W |B |W |B |B |"
## [16] "-----------------------------------------------------------------------------------------"
## [17] " 5 | HANSHI ZUO |5.5 |W 45|W 37|D 12|D 13|D 4|W 14|W 17|"
## [18] " MI | 14601533 / R: 1655 ->1690 |N:2 |B |W |B |W |B |W |B |"
## [19] "-----------------------------------------------------------------------------------------"
## [20] " 6 | HANSEN SONG |5.0 |W 34|D 29|L 11|W 35|D 10|W 27|W 21|"
## [21] " OH | 15055204 / R: 1686 ->1687 |N:3 |W |B |W |B |B |W |B |"
## [22] "-----------------------------------------------------------------------------------------"
## [23] " 7 | GARY DEE SWATHELL |5.0 |W 57|W 46|W 13|W 11|L 1|W 9|L 2|"
## [24] " MI | 11146376 / R: 1649 ->1673 |N:3 |W |B |W |B |B |W |W |"
## [25] "-----------------------------------------------------------------------------------------"
## [26] " 8 | EZEKIEL HOUGHTON |5.0 |W 3|W 32|L 14|L 9|W 47|W 28|W 19|"
## [27] " MI | 15142253 / R: 1641P17->1657P24 |N:3 |B |W |B |W |B |W |W |"
## [28] "-----------------------------------------------------------------------------------------"
## [29] " 9 | STEFANO LEE |5.0 |W 25|L 18|W 59|W 8|W 26|L 7|W 20|"
## [30] " ON | 14954524 / R: 1411 ->1564 |N:2 |W |B |W |B |W |B |B |"
## [31] "-----------------------------------------------------------------------------------------"
## [32] " 10 | ANVIT RAO |5.0 |D 16|L 19|W 55|W 31|D 6|W 25|W 18|"
## [33] " MI | 14150362 / R: 1365 ->1544 |N:3 |W |W |B |B |W |B |W |"
## [34] "-----------------------------------------------------------------------------------------"
## [35] " 11 | CAMERON WILLIAM MC LEMAN |4.5 |D 38|W 56|W 6|L 7|L 3|W 34|W 26|"
## [36] " MI | 12581589 / R: 1712 ->1696 |N:3 |B |W |B |W |B |W |B |"
## [37] "-----------------------------------------------------------------------------------------"
## [38] " 12 | KENNETH J TACK |4.5 |W 42|W 33|D 5|W 38|H |D 1|L 3|"
## [39] " MI | 12681257 / R: 1663 ->1670 |N:3 |W |B |W |B | |W |B |"
## [40] "-----------------------------------------------------------------------------------------"
## [41] " 13 | TORRANCE HENRY JR |4.5 |W 36|W 27|L 7|D 5|W 33|L 3|W 32|"
## [42] " MI | 15082995 / R: 1666 ->1662 |N:3 |B |W |B |B |W |W |B |"
## [43] "-----------------------------------------------------------------------------------------"
## [44] " 14 | BRADLEY SHAW |4.5 |W 54|W 44|W 8|L 1|D 27|L 5|W 31|"
## [45] " MI | 10131499 / R: 1610 ->1618 |N:3 |W |B |W |W |B |B |W |"
## [46] "-----------------------------------------------------------------------------------------"
## [47] " 15 | ZACHARY JAMES HOUGHTON |4.5 |D 19|L 16|W 30|L 22|W 54|W 33|W 38|"
## [48] " MI | 15619130 / R: 1220P13->1416P20 |N:3 |B |B |W |W |B |B |W |"
## [49] "-----------------------------------------------------------------------------------------"
## [50] " 16 | MIKE NIKITIN |4.0 |D 10|W 15|H |W 39|L 2|W 36|U |"
## [51] " MI | 10295068 / R: 1604 ->1613 |N:3 |B |W | |B |W |B | |"
## [52] "-----------------------------------------------------------------------------------------"
## [53] " 17 | RONALD GRZEGORCZYK |4.0 |W 48|W 41|L 26|L 2|W 23|W 22|L 5|"
## [54] " MI | 10297702 / R: 1629 ->1610 |N:3 |W |B |W |B |W |B |W |"
## [55] "-----------------------------------------------------------------------------------------"
## [56] " 18 | DAVID SUNDEEN |4.0 |W 47|W 9|L 1|W 32|L 19|W 38|L 10|"
## [57] " MI | 11342094 / R: 1600 ->1600 |N:3 |B |W |B |W |B |W |B |"
## [58] "-----------------------------------------------------------------------------------------"
## [59] " 19 | DIPANKAR ROY |4.0 |D 15|W 10|W 52|D 28|W 18|L 4|L 8|"
## [60] " MI | 14862333 / R: 1564 ->1570 |N:3 |W |B |W |B |W |W |B |"
## [61] "-----------------------------------------------------------------------------------------"
## [62] " 20 | JASON ZHENG |4.0 |L 40|W 49|W 23|W 41|W 28|L 2|L 9|"
## [63] " MI | 14529060 / R: 1595 ->1569 |N:4 |W |B |W |B |W |B |W |"
## [64] "-----------------------------------------------------------------------------------------"
## [65] " 21 | DINH DANG BUI |4.0 |W 43|L 1|W 47|L 3|W 40|W 39|L 6|"
## [66] " ON | 15495066 / R: 1563P22->1562 |N:3 |B |W |B |W |W |B |W |"
## [67] "-----------------------------------------------------------------------------------------"
## [68] " 22 | EUGENE L MCCLURE |4.0 |W 64|D 52|L 28|W 15|H |L 17|W 40|"
## [69] " MI | 12405534 / R: 1555 ->1529 |N:4 |W |B |W |B | |W |B |"
## [70] "-----------------------------------------------------------------------------------------"
## [71] " 23 | ALAN BUI |4.0 |L 4|W 43|L 20|W 58|L 17|W 37|W 46|"
## [72] " ON | 15030142 / R: 1363 ->1371 | |B |W |B |W |B |W |B |"
## [73] "-----------------------------------------------------------------------------------------"
## [74] " 24 | MICHAEL R ALDRICH |4.0 |L 28|L 47|W 43|L 25|W 60|W 44|W 39|"
## [75] " MI | 13469010 / R: 1229 ->1300 |N:4 |B |W |B |B |W |W |B |"
## [76] "-----------------------------------------------------------------------------------------"
## [77] " 25 | LOREN SCHWIEBERT |3.5 |L 9|W 53|L 3|W 24|D 34|L 10|W 47|"
## [78] " MI | 12486656 / R: 1745 ->1681 |N:4 |B |W |B |W |B |W |B |"
## [79] "-----------------------------------------------------------------------------------------"
## [80] " 26 | MAX ZHU |3.5 |W 49|W 40|W 17|L 4|L 9|D 32|L 11|"
## [81] " ON | 15131520 / R: 1579 ->1564 |N:4 |B |W |B |W |B |W |W |"
## [82] "-----------------------------------------------------------------------------------------"
## [83] " 27 | GAURAV GIDWANI |3.5 |W 51|L 13|W 46|W 37|D 14|L 6|U |"
## [84] " MI | 14476567 / R: 1552 ->1539 |N:4 |W |B |W |B |W |B | |"
## [85] "-----------------------------------------------------------------------------------------"
## [86] " 28 | SOFIA ADINA STANESCU-BELLU |3.5 |W 24|D 4|W 22|D 19|L 20|L 8|D 36|"
## [87] " MI | 14882954 / R: 1507 ->1513 |N:3 |W |W |B |W |B |B |W |"
## [88] "-----------------------------------------------------------------------------------------"
## [89] " 29 | CHIEDOZIE OKORIE |3.5 |W 50|D 6|L 38|L 34|W 52|W 48|U |"
## [90] " MI | 15323285 / R: 1602P6 ->1508P12 |N:4 |B |W |B |W |W |B | |"
## [91] "-----------------------------------------------------------------------------------------"
## [92] " 30 | GEORGE AVERY JONES |3.5 |L 52|D 64|L 15|W 55|L 31|W 61|W 50|"
## [93] " ON | 12577178 / R: 1522 ->1444 | |W |B |B |W |W |B |B |"
## [94] "-----------------------------------------------------------------------------------------"
## [95] " 31 | RISHI SHETTY |3.5 |L 58|D 55|W 64|L 10|W 30|W 50|L 14|"
## [96] " MI | 15131618 / R: 1494 ->1444 | |B |W |B |W |B |W |B |"
## [97] "-----------------------------------------------------------------------------------------"
## [98] " 32 | JOSHUA PHILIP MATHEWS |3.5 |W 61|L 8|W 44|L 18|W 51|D 26|L 13|"
## [99] " ON | 14073750 / R: 1441 ->1433 |N:4 |W |B |W |B |W |B |W |"
## [100] "-----------------------------------------------------------------------------------------"
## [101] " 33 | JADE GE |3.5 |W 60|L 12|W 50|D 36|L 13|L 15|W 51|"
## [102] " MI | 14691842 / R: 1449 ->1421 | |B |W |B |W |B |W |B |"
## [103] "-----------------------------------------------------------------------------------------"
## [104] " 34 | MICHAEL JEFFERY THOMAS |3.5 |L 6|W 60|L 37|W 29|D 25|L 11|W 52|"
## [105] " MI | 15051807 / R: 1399 ->1400 | |B |W |B |B |W |B |W |"
## [106] "-----------------------------------------------------------------------------------------"
## [107] " 35 | JOSHUA DAVID LEE |3.5 |L 46|L 38|W 56|L 6|W 57|D 52|W 48|"
## [108] " MI | 14601397 / R: 1438 ->1392 | |W |W |B |W |B |B |W |"
## [109] "-----------------------------------------------------------------------------------------"
## [110] " 36 | SIDDHARTH JHA |3.5 |L 13|W 57|W 51|D 33|H |L 16|D 28|"
## [111] " MI | 14773163 / R: 1355 ->1367 |N:4 |W |B |W |B | |W |B |"
## [112] "-----------------------------------------------------------------------------------------"
## [113] " 37 | AMIYATOSH PWNANANDAM |3.5 |B |L 5|W 34|L 27|H |L 23|W 61|"
## [114] " MI | 15489571 / R: 980P12->1077P17 | | |B |W |W | |B |W |"
## [115] "-----------------------------------------------------------------------------------------"
## [116] " 38 | BRIAN LIU |3.0 |D 11|W 35|W 29|L 12|H |L 18|L 15|"
## [117] " MI | 15108523 / R: 1423 ->1439 |N:4 |W |B |W |W | |B |B |"
## [118] "-----------------------------------------------------------------------------------------"
## [119] " 39 | JOEL R HENDON |3.0 |L 1|W 54|W 40|L 16|W 44|L 21|L 24|"
## [120] " MI | 12923035 / R: 1436P23->1413 |N:4 |B |W |B |W |B |W |W |"
## [121] "-----------------------------------------------------------------------------------------"
## [122] " 40 | FOREST ZHANG |3.0 |W 20|L 26|L 39|W 59|L 21|W 56|L 22|"
## [123] " MI | 14892710 / R: 1348 ->1346 | |B |B |W |W |B |W |W |"
## [124] "-----------------------------------------------------------------------------------------"
## [125] " 41 | KYLE WILLIAM MURPHY |3.0 |W 59|L 17|W 58|L 20|X |U |U |"
## [126] " MI | 15761443 / R: 1403P5 ->1341P9 | |B |W |B |W | | | |"
## [127] "-----------------------------------------------------------------------------------------"
## [128] " 42 | JARED GE |3.0 |L 12|L 50|L 57|D 60|D 61|W 64|W 56|"
## [129] " MI | 14462326 / R: 1332 ->1256 | |B |W |B |B |W |W |B |"
## [130] "-----------------------------------------------------------------------------------------"
## [131] " 43 | ROBERT GLEN VASEY |3.0 |L 21|L 23|L 24|W 63|W 59|L 46|W 55|"
## [132] " MI | 14101068 / R: 1283 ->1244 | |W |B |W |W |B |B |W |"
## [133] "-----------------------------------------------------------------------------------------"
## [134] " 44 | JUSTIN D SCHILLING |3.0 |B |L 14|L 32|W 53|L 39|L 24|W 59|"
## [135] " MI | 15323504 / R: 1199 ->1199 | | |W |B |B |W |B |W |"
## [136] "-----------------------------------------------------------------------------------------"
## [137] " 45 | DEREK YAN |3.0 |L 5|L 51|D 60|L 56|W 63|D 55|W 58|"
## [138] " MI | 15372807 / R: 1242 ->1191 | |W |B |W |B |W |B |W |"
## [139] "-----------------------------------------------------------------------------------------"
## [140] " 46 | JACOB ALEXANDER LAVALLEY |3.0 |W 35|L 7|L 27|L 50|W 64|W 43|L 23|"
## [141] " MI | 15490981 / R: 377P3 ->1076P10 | |B |W |B |W |B |W |W |"
## [142] "-----------------------------------------------------------------------------------------"
## [143] " 47 | ERIC WRIGHT |2.5 |L 18|W 24|L 21|W 61|L 8|D 51|L 25|"
## [144] " MI | 12533115 / R: 1362 ->1341 | |W |B |W |B |W |B |W |"
## [145] "-----------------------------------------------------------------------------------------"
## [146] " 48 | DANIEL KHAIN |2.5 |L 17|W 63|H |D 52|H |L 29|L 35|"
## [147] " MI | 14369165 / R: 1382 ->1335 | |B |W | |B | |W |B |"
## [148] "-----------------------------------------------------------------------------------------"
## [149] " 49 | MICHAEL J MARTIN |2.5 |L 26|L 20|D 63|D 64|W 58|H |U |"
## [150] " MI | 12531685 / R: 1291P12->1259P17 | |W |W |B |W |B | | |"
## [151] "-----------------------------------------------------------------------------------------"
## [152] " 50 | SHIVAM JHA |2.5 |L 29|W 42|L 33|W 46|H |L 31|L 30|"
## [153] " MI | 14773178 / R: 1056 ->1111 | |W |B |W |B | |B |W |"
## [154] "-----------------------------------------------------------------------------------------"
## [155] " 51 | TEJAS AYYAGARI |2.5 |L 27|W 45|L 36|W 57|L 32|D 47|L 33|"
## [156] " MI | 15205474 / R: 1011 ->1097 | |B |W |B |W |B |W |W |"
## [157] "-----------------------------------------------------------------------------------------"
## [158] " 52 | ETHAN GUO |2.5 |W 30|D 22|L 19|D 48|L 29|D 35|L 34|"
## [159] " MI | 14918803 / R: 935 ->1092 |N:4 |B |W |B |W |B |W |B |"
## [160] "-----------------------------------------------------------------------------------------"
## [161] " 53 | JOSE C YBARRA |2.0 |H |L 25|H |L 44|U |W 57|U |"
## [162] " MI | 12578849 / R: 1393 ->1359 | | |B | |W | |W | |"
## [163] "-----------------------------------------------------------------------------------------"
## [164] " 54 | LARRY HODGE |2.0 |L 14|L 39|L 61|B |L 15|L 59|W 64|"
## [165] " MI | 12836773 / R: 1270 ->1200 | |B |B |W | |W |B |W |"
## [166] "-----------------------------------------------------------------------------------------"
## [167] " 55 | ALEX KONG |2.0 |L 62|D 31|L 10|L 30|B |D 45|L 43|"
## [168] " MI | 15412571 / R: 1186 ->1163 | |W |B |W |B | |W |B |"
## [169] "-----------------------------------------------------------------------------------------"
## [170] " 56 | MARISA RICCI |2.0 |H |L 11|L 35|W 45|H |L 40|L 42|"
## [171] " MI | 14679887 / R: 1153 ->1140 | | |B |W |W | |B |W |"
## [172] "-----------------------------------------------------------------------------------------"
## [173] " 57 | MICHAEL LU |2.0 |L 7|L 36|W 42|L 51|L 35|L 53|B |"
## [174] " MI | 15113330 / R: 1092 ->1079 | |B |W |W |B |W |B | |"
## [175] "-----------------------------------------------------------------------------------------"
## [176] " 58 | VIRAJ MOHILE |2.0 |W 31|L 2|L 41|L 23|L 49|B |L 45|"
## [177] " MI | 14700365 / R: 917 -> 941 | |W |B |W |B |W | |B |"
## [178] "-----------------------------------------------------------------------------------------"
## [179] " 59 | SEAN M MC CORMICK |2.0 |L 41|B |L 9|L 40|L 43|W 54|L 44|"
## [180] " MI | 12841036 / R: 853 -> 878 | |W | |B |B |W |W |B |"
## [181] "-----------------------------------------------------------------------------------------"
## [182] " 60 | JULIA SHEN |1.5 |L 33|L 34|D 45|D 42|L 24|H |U |"
## [183] " MI | 14579262 / R: 967 -> 984 | |W |B |B |W |B | | |"
## [184] "-----------------------------------------------------------------------------------------"
## [185] " 61 | JEZZEL FARKAS |1.5 |L 32|L 3|W 54|L 47|D 42|L 30|L 37|"
## [186] " ON | 15771592 / R: 955P11-> 979P18 | |B |W |B |W |B |W |B |"
## [187] "-----------------------------------------------------------------------------------------"
## [188] " 62 | ASHWIN BALAJI |1.0 |W 55|U |U |U |U |U |U |"
## [189] " MI | 15219542 / R: 1530 ->1535 | |B | | | | | | |"
## [190] "-----------------------------------------------------------------------------------------"
## [191] " 63 | THOMAS JOSEPH HOSMER |1.0 |L 2|L 48|D 49|L 43|L 45|H |U |"
## [192] " MI | 15057092 / R: 1175 ->1125 | |W |B |W |B |B | | |"
## [193] "-----------------------------------------------------------------------------------------"
## [194] " 64 | BEN LI |1.0 |L 22|D 30|L 31|D 49|L 46|L 42|L 54|"
## [195] " MI | 15006561 / R: 1163 ->1112 | |B |W |W |B |W |B |B |"
## [196] "-----------------------------------------------------------------------------------------"Using str_extract_all, I extracted data that will help form 5 columns for the csv file: Player Name, Player State, Total Points, Player-PreRating, and Average Pre-Chess Rating of Opponents.
Player_Number <- as.numeric(unlist(str_extract_all(df,"(?<=\\s{3,4})\\d{1,2}(?=\\s)")))
Player_Name <- unlist(str_extract_all(df,"(?<=\\d\\s\\|\\s)([A-z, -]*\\s){1,}[[:alpha:]]*(?=\\s*\\|)"))
Player_State <- unlist(str_extract_all(df, "[[:upper:]]{2}(?=\\s\\|)"))
Total_Points <- as.numeric(unlist(str_extract_all(df, "(?<=\\|)\\d\\.\\d")))
Player_PreRating <- as.numeric(unlist(str_extract_all(df, "(?<=R:\\s{1,2})(\\d{3,4}(?=\\s))|(\\d{3,4}(?=P\\d{1,2}\\s*-))")))
processed_df <- data.frame(Player_Number, Player_Name, Player_State, Total_Points, Player_PreRating)
str(processed_df)## 'data.frame': 64 obs. of 5 variables:
## $ Player_Number : num 1 2 3 4 5 6 7 8 9 10 ...
## $ Player_Name : chr "GARY HUA " "DAKSHESH DARURI " "ADITYA BAJAJ " "PATRICK H SCHILLING " ...
## $ Player_State : chr "ON" "MI" "MI" "MI" ...
## $ Total_Points : num 6 6 6 5.5 5.5 5 5 5 5 5 ...
## $ Player_PreRating: num 1794 1553 1384 1716 1655 ...Extracting the number of rows
Number_of_Rows <- df[seq(5, 196, 3)]
Opponent_Numbers<- as.numeric(unlist(str_extract_all(Number_of_Rows, "(?<=\\|(W|L|D)\\s{2,3})[[:digit:]]{1,2}(?=\\|)|((?<!->)(?<=\\|(U|H|B|X))\\s{4}(?=\\|))")))Creating a Matrix and columns for Total Opponent and Average Pre-Chess Rating:
new_matrix_df <- matrix(data = NA, nrow = 64, ncol = 2)colnames(new_matrix_df) <- c("Total_Opponent_PCR", "Average_Opponent_PCR")The counter is created to count Opponent_Numbers. The for loop sequences each of the 7 entries that correspond with the 7 chess matches for each person, adding them together for the total opponents’ score and then dividing them by the number of entries that were not NA in that sequence to find the average.
counter <- 0for(i in seq(from=1, to=length(Opponent_Numbers)-6, by=7)) {
counter <- counter + 1
new_matrix_df[counter, 1] <- (sum(subset(processed_df$Player_PreRating,
processed_df$Player_Number %in% Opponent_Numbers[seq(from=i,to=i+6, by=1)])))
new_matrix_df[counter, 2] <- new_matrix_df[counter, 1] / length(subset(Opponent_Numbers[seq(from=i, to=i+6, by=1)],!is.na(Opponent_Numbers[seq(from=i, to=i+6, by=1)])))
}head(new_matrix_df, 5)## Total_Opponent_PCR Average_Opponent_PCR
## [1,] 11237 1605.286
## [2,] 10285 1469.286
## [3,] 10945 1563.571
## [4,] 11015 1573.571
## [5,] 10506 1500.857This rounds the Average_Opponent_PCR to the nearest point:
new_matrix_df[, 2] <- round(new_matrix_df[,2], digits = 0)
new_matrix_df## Total_Opponent_PCR Average_Opponent_PCR
## [1,] 11237 1605
## [2,] 10285 1469
## [3,] 10945 1564
## [4,] 11015 1574
## [5,] 10506 1501
## [6,] 10631 1519
## [7,] 9605 1372
## [8,] 10279 1468
## [9,] 10662 1523
## [10,] 10879 1554
## [11,] 10273 1468
## [12,] 9037 1506
## [13,] 10485 1498
## [14,] 10605 1515
## [15,] 10387 1484
## [16,] 6929 1386
## [17,] 10490 1499
## [18,] 10360 1480
## [19,] 9984 1426
## [20,] 9876 1411
## [21,] 10293 1470
## [22,] 7802 1300
## [23,] 8497 1214
## [24,] 9499 1357
## [25,] 9543 1363
## [26,] 10548 1507
## [27,] 7330 1222
## [28,] 10655 1522
## [29,] 7881 1314
## [30,] 8009 1144
## [31,] 8819 1260
## [32,] 9651 1379
## [33,] 8938 1277
## [34,] 9627 1375
## [35,] 8048 1150
## [36,] 8329 1388
## [37,] 6924 1385
## [38,] 9235 1539
## [39,] 10007 1430
## [40,] 9734 1391
## [41,] 4994 1248
## [42,] 8049 1150
## [43,] 7746 1107
## [44,] 7962 1327
## [45,] 8064 1152
## [46,] 9504 1358
## [47,] 9744 1392
## [48,] 6779 1356
## [49,] 6429 1286
## [50,] 7776 1296
## [51,] 9493 1356
## [52,] 10462 1495
## [53,] 4036 1345
## [54,] 7237 1206
## [55,] 8436 1406
## [56,] 7072 1414
## [57,] 8178 1363
## [58,] 8346 1391
## [59,] 7914 1319
## [60,] 6651 1330
## [61,] 9291 1327
## [62,] 1186 1186
## [63,] 6751 1350
## [64,] 8841 1263With the total and average opponent PCR formed, cbind will merge the processed_df created earlier and the new_matrix_df containing the aforementioned columns, which will be stored in new_processed_df2:
new_processed_df <- cbind(processed_df, new_matrix_df[, 2])
new_processed_df2 <- rename(new_processed_df, Average_Opponent_PCR = `new_matrix_df[, 2]`)new_processed_df2## Player_Number Player_Name Player_State Total_Points
## 1 1 GARY HUA ON 6.0
## 2 2 DAKSHESH DARURI MI 6.0
## 3 3 ADITYA BAJAJ MI 6.0
## 4 4 PATRICK H SCHILLING MI 5.5
## 5 5 HANSHI ZUO MI 5.5
## 6 6 HANSEN SONG OH 5.0
## 7 7 GARY DEE SWATHELL MI 5.0
## 8 8 EZEKIEL HOUGHTON MI 5.0
## 9 9 STEFANO LEE ON 5.0
## 10 10 ANVIT RAO MI 5.0
## 11 11 CAMERON WILLIAM MC LEMAN MI 4.5
## 12 12 KENNETH J TACK MI 4.5
## 13 13 TORRANCE HENRY JR MI 4.5
## 14 14 BRADLEY SHAW MI 4.5
## 15 15 ZACHARY JAMES HOUGHTON MI 4.5
## 16 16 MIKE NIKITIN MI 4.0
## 17 17 RONALD GRZEGORCZYK MI 4.0
## 18 18 DAVID SUNDEEN MI 4.0
## 19 19 DIPANKAR ROY MI 4.0
## 20 20 JASON ZHENG MI 4.0
## 21 21 DINH DANG BUI ON 4.0
## 22 22 EUGENE L MCCLURE MI 4.0
## 23 23 ALAN BUI ON 4.0
## 24 24 MICHAEL R ALDRICH MI 4.0
## 25 25 LOREN SCHWIEBERT MI 3.5
## 26 26 MAX ZHU ON 3.5
## 27 27 GAURAV GIDWANI MI 3.5
## 28 28 SOFIA ADINA STANESCU-BELLU MI 3.5
## 29 29 CHIEDOZIE OKORIE MI 3.5
## 30 30 GEORGE AVERY JONES ON 3.5
## 31 31 RISHI SHETTY MI 3.5
## 32 32 JOSHUA PHILIP MATHEWS ON 3.5
## 33 33 JADE GE MI 3.5
## 34 34 MICHAEL JEFFERY THOMAS MI 3.5
## 35 35 JOSHUA DAVID LEE MI 3.5
## 36 36 SIDDHARTH JHA MI 3.5
## 37 37 AMIYATOSH PWNANANDAM MI 3.5
## 38 38 BRIAN LIU MI 3.0
## 39 39 JOEL R HENDON MI 3.0
## 40 40 FOREST ZHANG MI 3.0
## 41 41 KYLE WILLIAM MURPHY MI 3.0
## 42 42 JARED GE MI 3.0
## 43 43 ROBERT GLEN VASEY MI 3.0
## 44 44 JUSTIN D SCHILLING MI 3.0
## 45 45 DEREK YAN MI 3.0
## 46 46 JACOB ALEXANDER LAVALLEY MI 3.0
## 47 47 ERIC WRIGHT MI 2.5
## 48 48 DANIEL KHAIN MI 2.5
## 49 49 MICHAEL J MARTIN MI 2.5
## 50 50 SHIVAM JHA MI 2.5
## 51 51 TEJAS AYYAGARI MI 2.5
## 52 52 ETHAN GUO MI 2.5
## 53 53 JOSE C YBARRA MI 2.0
## 54 54 LARRY HODGE MI 2.0
## 55 55 ALEX KONG MI 2.0
## 56 56 MARISA RICCI MI 2.0
## 57 57 MICHAEL LU MI 2.0
## 58 58 VIRAJ MOHILE MI 2.0
## 59 59 SEAN M MC CORMICK MI 2.0
## 60 60 JULIA SHEN MI 1.5
## 61 61 JEZZEL FARKAS ON 1.5
## 62 62 ASHWIN BALAJI MI 1.0
## 63 63 THOMAS JOSEPH HOSMER MI 1.0
## 64 64 BEN LI MI 1.0
## Player_PreRating Average_Opponent_PCR
## 1 1794 1605
## 2 1553 1469
## 3 1384 1564
## 4 1716 1574
## 5 1655 1501
## 6 1686 1519
## 7 1649 1372
## 8 1641 1468
## 9 1411 1523
## 10 1365 1554
## 11 1712 1468
## 12 1663 1506
## 13 1666 1498
## 14 1610 1515
## 15 1220 1484
## 16 1604 1386
## 17 1629 1499
## 18 1600 1480
## 19 1564 1426
## 20 1595 1411
## 21 1563 1470
## 22 1555 1300
## 23 1363 1214
## 24 1229 1357
## 25 1745 1363
## 26 1579 1507
## 27 1552 1222
## 28 1507 1522
## 29 1602 1314
## 30 1522 1144
## 31 1494 1260
## 32 1441 1379
## 33 1449 1277
## 34 1399 1375
## 35 1438 1150
## 36 1355 1388
## 37 980 1385
## 38 1423 1539
## 39 1436 1430
## 40 1348 1391
## 41 1403 1248
## 42 1332 1150
## 43 1283 1107
## 44 1199 1327
## 45 1242 1152
## 46 377 1358
## 47 1362 1392
## 48 1382 1356
## 49 1291 1286
## 50 1056 1296
## 51 1011 1356
## 52 935 1495
## 53 1393 1345
## 54 1270 1206
## 55 1186 1406
## 56 1153 1414
## 57 1092 1363
## 58 917 1391
## 59 853 1319
## 60 967 1330
## 61 955 1327
## 62 1530 1186
## 63 1175 1350
## 64 1163 1263With the data and columns now created and structured, the final step is inputting new_processed_df2 into a CSV file:
path_csv <- getwd()write.csv(new_processed_df2, file.path(path_csv, "Chess_Tourney_Data.csv"))