Publications by coop711
Red and Black : 220305 (8th million)
2월 28일자 출석부에만 나오는 사람들의 분포 group mark mark2 53 Red 0225 NA 58 Black 0225 NA 65 Black 0225 NA 72 Red 0225 NA 81 Black 0225 NA 109 Black 0225 NA 147 Black 0225 NA 175 Red 0225 NA 190 Red 0225 NA 201 Black 0225 NA 208 Red 0225 NA 211 Black 0225 NA 221 Red 0225 NA 223 Black 0225 NA 252 Red 0225 NA 255...
303 sym R (59527 sym/31 pcs) 8 tbl
Red and Black : 220305 (4th million)
2월 28일자 출석부에만 나오는 사람들의 분포 group mark mark2 53 Red 0225 NA 58 Black 0225 NA 65 Black 0225 NA 72 Red 0225 NA 81 Black 0225 NA 109 Black 0225 NA 147 Black 0225 NA 175 Red 0225 NA 190 Red 0225 NA 201 Black 0225 NA 208 Red 0225 NA 211 Black 0225 NA 221 Red 0225 NA 223 Black 0225 NA 252 Red 0225 NA 255...
303 sym R (59899 sym/31 pcs) 8 tbl
Red_and_Black 220305 : (2nd million)
2월 28일자 출석부에만 나오는 사람들의 분포 group mark mark2 53 Red 0225 NA 58 Black 0225 NA 65 Black 0225 NA 72 Red 0225 NA 81 Black 0225 NA 109 Black 0225 NA 147 Black 0225 NA 175 Red 0225 NA 190 Red 0225 NA 201 Black 0225 NA 208 Red 0225 NA 211 Black 0225 NA 221 Red 0225 NA 223 Black 0225 NA 252 Red 0225 NA 255...
303 sym R (60173 sym/31 pcs) 8 tbl
Randomization Report 220305
Randomization Effects 2월25일 출석부에만 나오는 사람들 Red Black 28 30 학번 비교 전체 비교 2016 이전 2017 2018 2019 2020 2021 2022 Red 24 37 64 75 51 134 72 Black 24 37 61 73 55 134 73 21학번 기준 21학번 20학번 이전 Red 206 251 Black 207 250 20학번 기준 20학번 19학번 이전 Red 257 200 Blac...
221 sym 1 img 16 tbl
Randomized Class Roll 220305
가나다순 id name group 20198059 CUI HEHAN Red 20188008 JIANG ZIQI Black 20208003 LE HUY HOANG Red 20198015 LI JUNJIE Red 20188043 LYU ZHAOCHEN Red 20198020 MA JUNHAN Black 20208009 QIU MENGXUAN Black 20188046 SHI ZHANG LONG Black 20188048 TENG YUYI Red 20198044 VU THI THU HA Red 20188050 WANG DONGLING Red 20198047 WANG HUNING Bla...
12 sym 3 tbl
Red and Black : 2201 (3rd million)
Data Search for Best Configuration M1 <- 2000001 M2 <- 3000000 Xsum <- numeric(0) Xsum <- sapply(M1:M2, red_and_black) # Values_mat <- numeric(0) # for(k in M1:M2){ # set.seed(k) # N <- nrow(class_roll) # class_roll$group <- # sample(1:N) %% # 2 %>% # factor(levels = c(0, 1), labels = c("Red", "Black")) # Xsum <- c(Xsum, re...
184 sym R (5458 sym/32 pcs) 2 img 6 tbl
Red and Black : 2201 (5th million)
Data Search for Best Configuration M1 <- 4000001 M2 <- 5000000 Xsum <- numeric(0) Xsum <- sapply(M1:M2, red_and_black) # Values_mat <- numeric(0) # for(k in M1:M2){ # set.seed(k) # N <- nrow(class_roll) # class_roll$group <- # sample(1:N) %% # 2 %>% # factor(levels = c(0, 1), labels = c("Red", "Black")) # Xsum <- c(Xsum, re...
184 sym R (5467 sym/32 pcs) 2 img 6 tbl
Red and Black : 2201 (10th million)
Data Search for Best Configuration M1 <- 9000001 M2 <- 10000000 Xsum <- numeric(0) Xsum <- sapply(M1:M2, red_and_black) # Values_mat <- numeric(0) # for(k in M1:M2){ # set.seed(k) # N <- nrow(class_roll) # class_roll$group <- # sample(1:N) %% # 2 %>% # factor(levels = c(0, 1), labels = c("Red", "Black")) # Xsum <- c(Xsum, r...
184 sym R (5857 sym/32 pcs) 2 img 6 tbl
Red and Black : 2201 (8th million)
Data Search for Best Configuration M1 <- 7000001 M2 <- 8000000 Xsum <- numeric(0) Xsum <- sapply(M1:M2, red_and_black) # Values_mat <- numeric(0) # for(k in M1:M2){ # set.seed(k) # N <- nrow(class_roll) # class_roll$group <- # sample(1:N) %% # 2 %>% # factor(levels = c(0, 1), labels = c("Red", "Black")) # Xsum <- c(Xsum, re...
184 sym R (5350 sym/32 pcs) 2 img 6 tbl
Red and Black : 2201 (100000 Trials)
Data Search for Best Configuration M1 <- 1 M2 <- 100000 Xsum <- numeric(0) Xsum <- sapply(M1:M2, red_and_black) # Values_mat <- numeric(0) # for(k in M1:M2){ # set.seed(k) # N <- nrow(class_roll) # class_roll$group <- # sample(1:N) %% # 2 %>% # factor(levels = c(0, 1), labels = c("Red", "Black")) # Xsum <- c(Xsum, red_and_b...
184 sym R (17146 sym/32 pcs) 2 img 6 tbl