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Data X:
94.94 20.51 95.33 20.47 93.22 20.5 94.58 20.22 91.98 20.36 90.15 20.29 88 20.7 87.08 20.35 87.35 19.74 87.35 19.55 89.7 19.28 89.5 18.97 81.65 17.54 81.76 18.6 80.45 18.78 80.06 18.16 80.99 18.74 81.93 19.17 85.65 19.03 85.91 19.59 83 20 82.5 19.86 82.57 20.11 80.71 19.52 83.2 20.2 80.12 20.12 80.31 20.41 79.26 18.91 79.58 19.54 80.31 19.8 84.55 21.29 84.2 20.62 86.9 21.17 81.91 19.72 80.09 19 81.41 18.45 80.41 17.75 80.41 17.65 80.09 17.62 79.31 17.55 76.61 16.37 74.64 15.86 71.91 15.96 71.92 15.55 70.02 15.39 72.22 15.99 71.57 15.31 70.33 15.38 69.27 14.29 69.61 14.55 69.72 14.58 70.17 15.03 70.82 14.9 71.32 15.18 69.62 15.13 67.11 15.14 65.93 15.15 65.78 15.62 63.88 14.64 64.53 14.95 62.31 14.97 62.31 15.5 59.38 14.85 60.42 13.95 62.31 13.48 61.73 13.28 63.63 13.43 64.28 12.4 65.18 12.58 67.28 12.18 64.41 11.57 60.33 11.21 57.58 9.7 58.22 9.49 56.84 9.16 58.51 9.29 55.69 8.87 55.07 8.68 55.44 9.02 55.04 9.14 54.74 8.55 54.89 8.88 55.48 8.85 56.73 9.74 55.09 10.01 50.14 9.7 51.38 9.5 49.64 9.18 50.56 9.18 51.74 9.04 49.44 7.57 47.33 6.38 49.41 7.36 50.49 7.4 48.43 6.59 44.54 6.48 45.52 6.41 43.8 6.32 42.85 6.09 41.86 5.43 41.6 5.15 41.91 5.03 40.04 4.42 38.16 4.36 35.5 4.1 35.85 4.38 37.44 4.65 38.95 5.28 41.55 5.45 38.96 5.7 41.07 5.7 39.95 5.71 36.64 5.01 30.18 4.41 30.62 4.97 30.52 5.11 28.78 4.82 35.53 7.04 34.03 7.56 41.95 9.71 33.96 8.5 43.03 11 46.94 11.62 40.31 9.58 45.28 11.56 47.74 13.96 52.39 14.98 52.79 14.37 52.49 14.34 50.46 13.81 50.19 14.08 52.82 15 56.39 16.64 56.48 15.95 57.79 15.9 58.15 14.97 58.78 15.1 56.27 14.73 56.99 15.01 55.88 14.99 54.21 14.62 52.32 13.79 54.17 14.32 55.77 14.85 57.24 15.14 57.59 14.95 56.47 14.49 55.74 14 56.44 14.65 57.23 14.45 56.93 14.64 53.74 13.9 56.09 15 56.52 15.16 55.63 15 55.85 14.32 55.94 14.01 54.29 13.73 53.4 13.59 53.6 13.55 53.94 13.35 54.17 12.7 51.74 11.7 52.02 11.66 50.23 11.6 48.73 11.65 48.87 11.48 48.83 11.48 49.27 11.73 47.62 11.17 48.64 11.5 49 11.8 48.65 11.67 48.5 11.37 48.53 11.24 48.44 11.26 47.8 10.99 49.21 11.25 48.98 10.87 47.75 10 47.5 10.32 46.52 10.2 45.77 10.23 45.32 10 44.81 9.32 43.99 9.45 44.51 9.5 44.84 9.17 44.95 8.81 45.52 8.59 45.52 8.27 42.96 7.95 44.22 7.93 45.41 7.86 44.92 7.55 44.44 7.45 44.9 7.56 44.17 7.6 42.42 7.02 43.32 7.09 44.94 7.31 43.73 7.25 44.12 7.42 45.12 7.45 43.96 7.38 44.89 7.57 47.11 7.64 44.56 7.42 43.94 7.4 41.08 7.35 42.59 7.36 41.93 7.43 43.17 7.49 43.41 7.65 43.64 7.81 43.02 7.81 42.92 7.84 43.09 7.9 42.68 7.82 41.73 7.79 42.1 7.78 40.43 7.75 38.87 7.53 39.58 7.59 37.93 7.72 38.27 7.83 38.65 7.89 37.17 7.8 36.38 7.47 37.32 7.8 36.91 7.92 36.68 7.87 36.45 7.86 36.6 7.64 36.65 7.47 35.87 7.56 36.44 7.4 35.69 7.4 34.94 7.03 34.73 6.97 34.75 6.95 33.98 6.91 34.88 7.1 34.48 6.98 32.39 6.78 34.08 7.01 35.88 7.38 36.58 7.55 37.07 7.62 35.76 7.56 36.49 7.79 36.17 7.73 37.13 7.31 34.79 7 34.09 6.85 33.59 6.48 33.67 6.79 34.31 6.9 36.42 7.18 36.41 7.06 37.7 6.73 37.43 7.12 36.19 7.69 36.82 8.11 37.72 8.46 36.3 8.28 37.65 8.53 37.01 8.53 36.19 8.44 36.48 8.18 34.38 7.92 35.32 8.19 34.45 8.2 32.85 7.72 32.96 7.62 32.86 7.68 31.39 7.34 30.46 7.1 30.62 7.32 30.15 6.92 30.81 7.05 29.66 7.15 30.77 7.38 30.45 7.31 29.15 7.13 28.73 7.03 28.91 6.52 28.75 6.5 29.09 6.73 28.58 6.75 28.16 6.35 27.54 6.24 27.51 5.93 26.47 5.45 26.19 5.12 26.3 5.07 25.99 4.97 25.97 4.98 25.73 5.04 26.16 5.11 26.49 5.1 26.16 5.06 25.92 5.07 25.85 5.07 26.36 4.97 26.11 5.04 25.3 4.84 25.81 5 25.23 5.06
Names of X columns:
diferencial razao
Alternative
two.sided
two.sided
less
greater
Column number for the first variable
Column number for the second variable
Chart options
R Code
par3 <- '2' par2 <- '1' par1 <- 'two.sided' 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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Big Analytics Cloud Computing Center
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