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Data X:
70.8 66.67 69.6 66.33 69.87 64.33 67.47 64 67.6 63.33 67.13 61.33 66.27 64.67 66.73 63 68.07 60.67 67.8 63.67 64.8 60.67 64.6 61.67 64.2 62.33 64.2 60.33 63.67 59.67 61 60.33 59.67 59.33 59.67 58.67 59.8 58.67 60.73 59.33 59.4 57.33 58.07 59.33 57.47 56 70.73 53.67 72.87 58.67 66 49.33 66.07 71.33 66 70.33 66.27 69 64 66 63.67 66 63.73 63.33 63.33 65.33 63.53 64.33 63.53 64 62.87 61.67 59.53 63.67 62.8 64.67 60.8 61.67 59.8 62 56.67 61.33 57.67 63.67 58.4 61.33 55.47 62.33 56.2 59.67 71.53 59.33 68.67 61.67 65.67 58.67 66.73 58 67.33 56.67 66.73 59.67 66.87 58 65.8 57 64.73 57.67 65.47 58.67 63.6 55.33 64.07 56 64.67 55.67 63.73 53.33 62.53 53.67 61.93 51 62.67 47 62.8 4.33 61.33 70 62.6 68.67 59.13 67.67 61.27 66 59.47 65.67 57.87 65.67 59.73 63.67 61.4 63.67 58.8 64 58.33 62 57.47 62 57.13 61.67 55 61.67 51.53 63.33 72.73 61 73 62.33 70.8 60.33 70.07 60.33 71.67 60.67 71.07 57.67 70.67 58.33 70.73 58 70.73 57.33 68.6 56.67 69.6 58 66.47 55.33 67.07 55.67 68.67 54.67 66.93 56.33 65.93 55 68.87 55 66.53 54.67 65.8 54.33 66.6 49 66 48.33 65 49.67 66.8 43.67 65.6 6.33 66 3 65.67 66.67 64.67 67.33 65.07 65.33 64.67 66 65.07 65.67 65.2 66.67 64.87 65.67 63.47 65 62.6 64.67 64.07 66.67 63.73 63.67 64.67 63.33 61.6 63.67 61.6 63.33 60.47 63.67 61.27 63 63 61.67 61.47 61.33 60.87 60.67 61.67 60 62.87 61.67 62.4 61.33 59.73 58.67 60.13 60.33 58.8 59.67 59.6 59.33 58.93 59.67 60.13 61 58.2 61 58.27 60 58.27 60 55.07 58.67 53.87 58.33 52.33 58 47.2 56.33 37.93 54.67 72.73 55.33 70.07 54 70.67 52.67 72.07 44 68.8 65.67 68.8 65 67.47 66.33 66.73 64 66.53 62.33 66 61.33 67.6 63 66 63.67 66 62 66.53 61.33 65.8 64.67 64.27 62.67 64.67 64 64.6 61 64.13 60.67 65.47 59.67 62.93 60.33 63.53 56.67 62.13 56.67 63.87 54.33 64.67 51 63.33 51 63.13 47 62.8 68 62.4 65 62.4 64 62.6 64 61.47 64 62.2 62 63 61 61.8 60 59.73 60 60.33 62 60.13 60 59.53 59 59 61 55.93 60 41.87 60 36.33 58 71.67 58 71.47 60 70.47 58 69.53 59 70.73 56 69.93 54 68.73 51 67.53 47
Names of X columns:
X1 X2
Alternative
two.sided
less
greater
Column number for the first variable
Column number for the second variable
Test to Perform
Wilcoxon-Mann_Whitney
T-Test
Are observations paired?
0000000000111010.510111110.51111010.5110.511110111110.511111111110.50.510.50.50.50.500.50.50.50.510.510.50.50.510.50.511111111110.51101110.510.5101110.510.5101110.510.5101110.510.5101110.510.5101110.510.5101110.510.5101110.510.5101110.510.5101110.510.5101110.510.5101110.510.510000111110.5110.510110.5110.510111111110.511111110.50.510.50.50001010.5000.5010.50.51111110.511111111101110.511110.50.510.50.50.50.5111110110.511110.511110110.50.510.510.510.510.50.51111111101110.50.51101110.50.51101110.50.51101110.50.51101110.50.51101110.50.51101110.50.51101110.50.51101110.50.51101110.50.51101110.50.51101111110.50.51100001110.50.5110111110.510.50.50.50.511001010101011110.511111110.5111111100.50.510.50.50.5111111101110.510.510.510.510.510.510.511111111101110.5110.510.51110.5110.510.510.50.50.51101110.50.5111111101110.50.51101110.50.51101110.50.51101110.50.51101110.50.51101110.50.51101110.50.511011110.5110.5110111110.50.510.50.50.51101110.50.51101110.510.510.510.510.510.50.5111000011111110.50.51110110.50.51110110.50.50.50.50.5111111010101010100.50.51111100.50.5111111111111111110111110.50.50.50.50.50.510.50.50.5111010.510.5111010.510.51111111101110.510.5110110.510.5110110.510.5110110.510.5110110.510.5110110.510.5110110.510.51111101110.510.5110.50.50.50.50.50.511101111110.5110.510111110.51111110.50.50.50.50.50.51101111111110.50.510.510.50.50.50.50.50.500010111111111111110.5110.51110111111110.50.51101110.50.5110001010100.50.51111100.50.51111100.50.51111100.50.51111100.50.51111111100.50.51111100.50.50.50.50.51111110110.50.51111111011110.511110.5111010.510.50.50.50.50.50.510.510.51010.51111111111110.511111100.50.50.510.5110.511111010.510.5111010.50.50.510.50.50.50.50.50.51111110110.50.511111111110110.50.51110001010.50.511111110111110.50.51111011110.50.511010000001010000.50.50.50.50.51111110110.50.5111111111111010.50.51111010.50.50.50.50.50.50.510.51110110.510.510.510.51110.51111111100.5110.511111100.50.50.510.50.50.50.50.510.5111010.510.5111110110.510.51111111110110.50.51110010010.50.511111011111110.50.51111110110.50.5111000001010.50.50.50.50.51111111111110111110.510.5111111010.510.5111010.50.510.50.50.50.510.510.510.510.5111101110.5111110.511010.5111110.511010.50.50.50.510.510.50.50.51101110.50.51111101111110.50.5111110110.50.51110010010.50.511111111110111110.50.51101110.50.511010101010101110.50.50.50.50.51101111110.50.51101110.50.51101110.50.50.50.50.50.50.50.50.510.50.510.50.50.50.50111110.51111110.50110.50.50.50.510.50.5111110.5011110.511110.50110.51110.50111110.51110.5111101110.5111110.51100101010.510.511101111110.510.511100000010.510.5111010.510.5111010.51110.51111010.50.50.50.50.51111111010.50.51111010.50.50.50.510.510.5110.510.5110.510.50.50.5111110110.51111110.50110.50.50.50.51110.50110.51110.50111110.50.510.50.510.510.5110.51111011110.50.51011110.50.51011111111110.50.51011111110.50.51011110.50.51011111110.51110.51111100100110.50.51110110.50.5111000000110.50.51110110.50.51111110110.50.5111011110.510.50.50.50.5111111011110.510.511111111010.511110.5110.510.50.510.510.5111111011111110.5111110.51010.50.50.50.511111 12 13 14 150.51010.51110.51010.50.510.50.50.510.510.5101110.510.5101110.510.5101110.510.51011110.51110.510110.5110.510110.5110.510000110.511110.5111110110.510.5110110.510.511000100000100.510.5111100.510.5111111100.51110.50.510.50.5111111101110.510.511111111010.510.5111010.51110.5110.510.510.510.50.51111111110110.510.510.510.511110.51010.51110.51010.51110.51010.50.510.50.50.50.510.50.50.50.50.510.5101110.510.5101110.510.5101110.510.5101111110.510.5101110.510.5101110.510.51010001110.51111110.511010.5110.511010.5110.5110000000100000.5110.511111100.5110.511100.5111110.50.50.50.511111111100.5110.511111111100.5111110.511111111110110.5111111110.510.50.50.50.50.50.510.510.50.5110.5111111010.50.50.50.511110.5010.511110.5010.50.510.50.50.50.50.50.50.510.50.5110.501110.5110.501110.5110.501110.5110.501110.5110.501111110.5110.501110.5110.50111111111110.511110.50010010.51110.51010.51110.51000000001000.501110.5110.501110.5111110.501110.5111111110.5010.50.50.510.511111111111111110.50110.51110.50110.5111111111111111111110.510.5010.5110.5110.510.510.50.50.50.510.50.50.50.50.511010.5110.511010.50.50.50.50.510.50.50.510.50.50.50.51101110.50.51101110.50.51101110.50.51101110.50.511011 12 13 14 151111110.50.511011 12 13 14 151110.50.511011 12 13 14 1511 12 13 14 15111 12 13 14 1511 12 13 14 1511 12 13 14 15111 12 13 14 1511 12 13 14 15111 12 13 14 1511 12 13 14 1511 12 13 14 150.50.51100002FlrcZke-1 OR 2+61-61-1=0+0+0+1 -- -1 OR 3+61-61-1=0+0+0+1 -- -1 OR 2+265-265-1=0+0+0+11-1 OR 3+265-265-1=0+0+0+1-1' OR 2+93-93-1=0+0+0+1 -- 1-1' OR 3+93-93-1=0+0+0+1 -- -1' OR 2+576-576-1=0+0+0+1 or 'f3Kk6RGg'='-1' OR 3+576-576-1=0+0+0+1 or 'f3Kk6RGg'='11 12 13 14 15-1" OR 2+19-19-1=0+0+0+1 -- 0.5-1" OR 3+19-19-1=0+0+0+1 -- 0.51101111 12 13 14 150.5if(now()=sysdate(),sleep(15),0)0.51101111 12 13 14 150.50'XOR(if(now()=sysdate(),sleep(15),0))XOR'Z0.5110000100100011 12 13 14 150.50"XOR(if(now()=sysdate(),sleep(15),0))XOR"Z0.51111111011 12 13 14 150.5(select(0)from(select(sleep(15)))v)/*'+(select(0)from(select(sleep(15)))v)+'"+(select(0)from(select(sleep(15)))v)+"*/0.51111110111 12 13 14 150.5-1; waitfor delay '0:0:15' -- 0.51111111110111 12 13 14 150.5-1); waitfor delay '0:0:15' -- 0.50.50.50.51111111110111 12 13 14 1510.5111 waitfor delay '0:0:15' -- 11111110.51-1 OR 2+161-161-1=0+0+0+1 -- -1 OR 3+161-161-1=0+0+0+1 -- -1 OR 2+936-936-1=0+0+0+11-1 OR 3+936-936-1=0+0+0+1-1' OR 2+791-791-1=0+0+0+1 -- -1' OR 3+791-791-1=0+0+0+1 -- -1' OR 2+285-285-1=0+0+0+1 or '2MEK3qrw'='-1' OR 3+285-285-1=0+0+0+1 or '2MEK3qrw'='-1" OR 2+628-628-1=0+0+0+1 -- -1" OR 3+628-628-1=0+0+0+1 -- 1011 12 13 14 150.50.50.5mH3UEbV5'; waitfor delay '0:0:15' -- 0.510.51if(now()=sysdate(),sleep(15),0)110111 12 13 14 1511-5 OR 357=(SELECT 357 FROM PG_SLEEP(15))--10.511110.50.50.50.50.50.510.50.50.50.50.50'XOR(if(now()=sysdate(),sleep(15),0))XOR'Z011 12 13 14 15-5) OR 180=(SELECT 180 FROM PG_SLEEP(15))--0.51110.50"XOR(if(now()=sysdate(),sleep(15),0))XOR"Z011 12 13 14 15-1)) OR 689=(SELECT 689 FROM PG_SLEEP(15))--0.50.50.510.50.50.510.50.50.510.5(select(0)from(select(sleep(15)))v)/*'+(select(0)from(select(sleep(15)))v)+'"+(select(0)from(select(sleep(15)))v)+"*/011 12 13 14 151ZK4z63W' OR 813=(SELECT 813 FROM PG_SLEEP(15))--110.510.5-1; waitfor delay '0:0:15' -- 011 12 13 14 15PphL4uTl') OR 495=(SELECT 495 FROM PG_SLEEP(15))--1
unpaired
paired
Value of Difference of Means to Test
Confidence Level to test
(?)
Display a Boxplot
11111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111124 25 26 2711111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111124 25 26 2711111124 25 26 2711124 25 26 2724 25 26 27124 25 26 2724 25 26 2724 25 26 27124 25 26 2724 25 26 2724 25 26 2724 25 26 2724 25 26 271111111111124 25 26 27111124 25 26 2711124 25 26 2711124 25 26 2711124 25 26 2711124 25 26 2711111111124 25 26 2711124 25 26 27111111111111124 25 26 271111124 25 26 271111111124 25 26 2711124 25 26 2711124 25 26 2711124 25 26 2711
TRUE
FALSE
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
par8 <- '1' par7 <- '0.95' par6 <- '0.0' par5 <- '1' par4 <- '1' par3 <- '2' par2 <- '1' par1 <- '1' par2 <- as.numeric(par2) par3 <- as.numeric(par3) par4 <- as.character(par4) par5 <- as.character(par5) par6 <- as.numeric(par6) par7 <- as.numeric(par7) par8 <- as.logical(par8) if ( par5 == 'unpaired') paired <- FALSE else paired <- TRUE x <- t(y) if(par8){ bitmap(file='test1.png') (r<-boxplot(x ,xlab=xlab,ylab=ylab,main=main,notch=FALSE,col=2)) dev.off() } load(file='createtable') if( par4 == 'Wilcoxon-Mann_Whitney'){ a<-table.start() a <- table.row.start(a) a <- table.element(a,'Wilcoxon Test',3,TRUE) a <- table.row.end(a) a <- table.row.start(a) a <- table.element(a,'',1,TRUE) a <- table.element(a,'Statistic',1,TRUE) a <- table.element(a,'P-value',1,TRUE) a <- table.row.end(a) W <- wilcox.test(x[,par2],x[,par3],alternative=par1, paired = paired) a<-table.row.start(a) a<-table.element(a,'Wilcoxon Test',1,TRUE) a<-table.element(a,W$statistic[[1]]) a<-table.element(a,round(W$p.value, digits=5) ) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab') } if( par4 == 'T-Test') { T <- t.test(x[,par2],x[,par3],alternative=par1, paired=paired, mu=par6, conf.level=par7) a<-table.start() a <- table.row.start(a) a <- table.element(a,'T-Test',3,TRUE) a <- table.row.end(a) if(paired){ a <- table.row.start(a) a <- table.element(a,'Difference: Mean1 - Mean2',1,TRUE) a<-table.element(a,round(T$estimate, digits=5) ) a <- table.row.end(a) } if(!paired){ a <- table.row.start(a) a <- table.element(a,'Mean1',1,TRUE) a<-table.element(a,round(T$estimate[1], digits=5) ) a <- table.row.end(a) a <- table.row.start(a) a <- table.element(a,'Mean2',1,TRUE) a<-table.element(a,round(T$estimate[2], digits=5) ) a <- table.row.end(a) } a <- table.row.start(a) a <- table.element(a,'T Statistic',1,TRUE) a<-table.element(a,round(T$statistic, digits=5) ) a <- table.row.end(a) a <- table.row.start(a) a <- table.element(a,'P-value',1,TRUE) a<-table.element(a,round(T$p.value, digits=5) ) a <- table.row.end(a) a <- table.row.start(a) a <- table.element(a,'Lower Confidence Limit',1,TRUE) a<-table.element(a,round(T$conf.int[1], digits=5) ) a <- table.row.end(a) a<-table.row.start(a) a <- table.element(a,'Upper Confidence Limit',1,TRUE) a<-table.element(a,round(T$conf.int[2], digits=5) ) a <- table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab') } a<-table.start() a <- table.row.start(a) a <- table.element(a,'Standard Deviations',3,TRUE) a <- table.row.end(a) a <- table.row.start(a) a <- table.element(a,'Variable 1',1,TRUE) a<-table.element(a,round(sd(x[,par2], na.rm=TRUE), digits=5) ) a <- table.row.end(a) a <- table.row.start(a) a <- table.element(a,'Variable 2',1,TRUE) a<-table.element(a,round(sd(x[,par3], na.rm=TRUE), digits=5) ) a <- table.row.end(a) a<-table.end(a) table.save(a,file='mytable1.tab')
Compute
Summary of computational transaction
Raw Input
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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