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Data X:
70.8 70.3292 69.6 69.9892 69.87 67.9892 67.47 67.6592 67.6 66.9892 67.13 64.9892 66.27 68.3292 66.73 66.6592 68.07 64.3292 67.8 67.3292 64.8 64.3292 64.6 65.3292 64.2 65.9892 64.2 63.9892 63.67 63.3292 61 63.9892 59.67 62.9892 59.67 62.3292 59.8 62.3292 60.73 62.9892 59.4 60.9892 58.07 62.9892 57.47 59.6592 70.73 57.3292 72.87 62.3292 66 52.9892 66.07 74.9892 66 73.9892 66.27 72.6592 64 69.6592 63.67 69.6592 63.73 66.9892 63.33 68.9892 63.53 67.9892 63.53 67.6592 62.87 65.3292 59.53 67.3292 62.8 68.3292 60.8 65.3292 59.8 65.6592 56.67 64.9892 57.67 67.3292 58.4 64.9892 55.47 65.9892 56.2 63.3292 71.53 62.9892 68.67 65.3292 65.67 62.3292 66.73 61.6592 67.33 60.3292 66.73 63.3292 66.87 61.6592 65.8 60.6592 64.73 61.3292 65.47 62.3292 63.6 58.9892 64.07 59.6592 64.67 59.3292 63.73 56.9892 62.53 57.3292 61.93 54.6592 62.67 50.6592 62.8 7.9892 61.33 73.6592 62.6 72.3292 59.13 71.3292 61.27 69.6592 59.47 69.3292 57.87 69.3292 59.73 67.3292 61.4 67.3292 58.8 67.6592 58.33 65.6592 57.47 65.6592 57.13 65.3292 55 65.3292 51.53 66.9892 72.73 64.6592 73 65.9892 70.8 63.9892 70.07 63.9892 71.67 64.3292 71.07 61.3292 70.67 61.9892 70.73 61.6592 70.73 60.9892 68.6 60.3292 69.6 61.6592 66.47 58.9892 67.07 59.3292 68.67 58.3292 66.93 59.9892 65.93 58.6592 68.87 58.6592 66.53 58.3292 65.8 57.9892 66.6 52.6592 66 51.9892 65 53.3292 66.8 47.3292 65.6 9.9892 66 6.6592 65.67 70.3292 64.67 70.9892 65.07 68.9892 64.67 69.6592 65.07 69.3292 65.2 70.3292 64.87 69.3292 63.47 68.6592 62.6 68.3292 64.07 70.3292 63.73 67.3292 64.67 66.9892 61.6 67.3292 61.6 66.9892 60.47 67.3292 61.27 66.6592 63 65.3292 61.47 64.9892 60.87 64.3292 61.67 63.6592 62.87 65.3292 62.4 64.9892 59.73 62.3292 60.13 63.9892 58.8 63.3292 59.6 62.9892 58.93 63.3292 60.13 64.6592 58.2 64.6592 58.27 63.6592 58.27 63.6592 55.07 62.3292 53.87 61.9892 52.33 61.6592 47.2 59.9892 37.93 58.3292 72.73 58.9892 70.07 57.6592 70.67 56.3292 72.07 47.6592 68.8 69.3292 68.8 68.6592 67.47 69.9892 66.73 67.6592 66.53 65.9892 66 64.9892 67.6 66.6592 66 67.3292 66 65.6592 66.53 64.9892 65.8 68.3292 64.27 66.3292 64.67 67.6592 64.6 64.6592 64.13 64.3292 65.47 63.3292 62.93 63.9892 63.53 60.3292 62.13 60.3292 63.87 57.9892 64.67 54.6592 63.33 54.6592 63.13 50.6592 62.8 71.6592 62.4 68.6592 62.4 67.6592 62.6 67.6592 61.47 67.6592 62.2 65.6592 63 64.6592 61.8 63.6592 59.73 63.6592 60.33 65.6592 60.13 63.6592 59.53 62.6592 59 64.6592 55.93 63.6592 41.87 63.6592 36.33 61.6592 71.67 61.6592 71.47 63.6592 70.47 61.6592 69.53 62.6592 70.73 59.6592 69.93 57.6592 68.73 54.6592 67.53 50.6592
Names of X columns:
Placement NoPlacement
Alternative
two.sided
two.sided
less
greater
Column number for the first variable
Column number for the second variable
Chart options
R Code
par2 <- as.numeric(par2) par3 <- as.numeric(par3) x <- t(y) load(file='createtable') a<-table.start() a <- table.row.start(a) a <- table.element(a,'Kolmogorov_Smirnov 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) D <- ks.test(x[,par2],x[,par3],alternative=par1) a<-table.row.start(a) a<-table.element(a,'K-S Test',1,TRUE) a<-table.element(a,signif(D$statistic[[1]], digits=5) ) a<-table.element(a,signif(D$p.value, 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,'Means of Data Distributions ',3,TRUE) a <- table.row.end(a) a <- table.row.start(a) a <- table.element(a,'Mean 1',1,TRUE) a <- table.element(a,'Mean 2',1,TRUE) a <- table.element(a,'Difference',1,TRUE) a <- table.row.end(a) a<-table.row.start(a) a<-table.element(a,signif(mean(x[,par2]), digits=5),1) a<-table.element(a,signif(mean(x[,par3]), digits=5),1) a<-table.element(a,signif( (mean(x[,par2])- mean(x[,par3])), digits=5),1) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable1.tab')
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Raw Output
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Big Analytics Cloud Computing Center
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