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Data X:
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2252 2010 2138 1892 1968 1703 1924 1517 1939 1451 1706 1281 1651 1285 1618 1157 1575 1170 1477 1064 1474 1099 1506 1104 1471 1041 1563 1068 1544 1044 1622 986 1476 995 1478 990 1485 974 1327 880 1246 899 1120 789 1006 690 918 676 764 602 744 521 606 485 553 423 429 388 377 355 309 318 308 282 256 225 192 193 156 197 139 154 118 111 98 105 100 106 84 71 73 79 51 50 63 57 51 41 35 30 41 26 23 25 26 24
Names of X columns:
wt mutant
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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