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Data X:
'1' 'Trt' 'NoCue' 'Neut' 433.5 '1' 'Trt' 'NoCue' 'Cong' 423.9 '1' 'Trt' 'NoCue' 'Inc' 490.9 '1' 'Trt' 'Cent' 'Neut' 385.2 '1' 'Trt' 'Cent' 'Cong' 368.6 '1' 'Trt' 'Cent' 'Inc' 473.4 '1' 'Trt' 'Double' 'Neut' 378.9 '1' 'Trt' 'Double' 'Cong' 378.9 '1' 'Trt' 'Double' 'Inc' 455.4 '1' 'Trt' 'Spatial' 'Neut' 328.1 '1' 'Trt' 'Spatial' 'Cong' 350.2 '1' 'Trt' 'Spatial' 'Inc' 407.2 '2' 'Trt' 'NoCue' 'Neut' 436.4 '2' 'Trt' 'NoCue' 'Cong' 441.9 '2' 'Trt' 'NoCue' 'Inc' 483.3 '2' 'Trt' 'Cent' 'Neut' 374.2 '2' 'Trt' 'Cent' 'Cong' 389.8 '2' 'Trt' 'Cent' 'Inc' 455.7 '2' 'Trt' 'Double' 'Neut' 357.0 '2' 'Trt' 'Double' 'Cong' 384.2 '2' 'Trt' 'Double' 'Inc' 433.0 '2' 'Trt' 'Spatial' 'Neut' 339.4 '2' 'Trt' 'Spatial' 'Cong' 337.6 '2' 'Trt' 'Spatial' 'Inc' 421.0 '3' 'Trt' 'NoCue' 'Neut' 428.7 '3' 'Trt' 'NoCue' 'Cong' 428.1 '3' 'Trt' 'NoCue' 'Inc' 503.3 '3' 'Trt' 'Cent' 'Neut' 371.2 '3' 'Trt' 'Cent' 'Cong' 368.0 '3' 'Trt' 'Cent' 'Inc' 436.5 '3' 'Trt' 'Double' 'Neut' 392.3 '3' 'Trt' 'Double' 'Cong' 356.3 '3' 'Trt' 'Double' 'Inc' 432.7 '3' 'Trt' 'Spatial' 'Neut' 331.3 '3' 'Trt' 'Spatial' 'Cong' 334.6 '3' 'Trt' 'Spatial' 'Inc' 431.4 '4' 'Trt' 'NoCue' 'Neut' 415.5 '4' 'Trt' 'NoCue' 'Cong' 433.3 '4' 'Trt' 'NoCue' 'Inc' 498.5 '4' 'Trt' 'Cent' 'Neut' 384.8 '4' 'Trt' 'Cent' 'Cong' 383.2 '4' 'Trt' 'Cent' 'Inc' 438.5 '4' 'Trt' 'Double' 'Neut' 370.3 '4' 'Trt' 'Double' 'Cong' 399.4 '4' 'Trt' 'Double' 'Inc' 445.9 '4' 'Trt' 'Spatial' 'Neut' 320.7 '4' 'Trt' 'Spatial' 'Cong' 342.8 '4' 'Trt' 'Spatial' 'Inc' 407.0 '5' 'Trt' 'NoCue' 'Neut' 429.1 '5' 'Trt' 'NoCue' 'Cong' 436.9 '5' 'Trt' 'NoCue' 'Inc' 499.0 '5' 'Trt' 'Cent' 'Neut' 378.1 '5' 'Trt' 'Cent' 'Cong' 394.6 '5' 'Trt' 'Cent' 'Inc' 471.4 '5' 'Trt' 'Double' 'Neut' 370.6 '5' 'Trt' 'Double' 'Cong' 370.7 '5' 'Trt' 'Double' 'Inc' 447.1 '5' 'Trt' 'Spatial' 'Neut' 332.5 '5' 'Trt' 'Spatial' 'Cong' 329.9 '5' 'Trt' 'Spatial' 'Inc' 418.3 '6' 'Trt' 'NoCue' 'Neut' 435.3 '6' 'Trt' 'NoCue' 'Cong' 422.7 '6' 'Trt' 'NoCue' 'Inc' 480.0 '6' 'Trt' 'Cent' 'Neut' 390.7 '6' 'Trt' 'Cent' 'Cong' 366.9 '6' 'Trt' 'Cent' 'Inc' 461.5 '6' 'Trt' 'Double' 'Neut' 354.1 '6' 'Trt' 'Double' 'Cong' 385.6 '6' 'Trt' 'Double' 'Inc' 435.4 '6' 'Trt' 'Spatial' 'Neut' 336.3 '6' 'Trt' 'Spatial' 'Cong' 335.0 '6' 'Trt' 'Spatial' 'Inc' 399.6 '7' 'Trt' 'NoCue' 'Neut' 435.4 '7' 'Trt' 'NoCue' 'Cong' 412.3 '7' 'Trt' 'NoCue' 'Inc' 484.9 '7' 'Trt' 'Cent' 'Neut' 387.8 '7' 'Trt' 'Cent' 'Cong' 380.5 '7' 'Trt' 'Cent' 'Inc' 443.4 '7' 'Trt' 'Double' 'Neut' 361.9 '7' 'Trt' 'Double' 'Cong' 346.4 '7' 'Trt' 'Double' 'Inc' 452.1 '7' 'Trt' 'Spatial' 'Neut' 351.1 '7' 'Trt' 'Spatial' 'Cong' 345.6 '7' 'Trt' 'Spatial' 'Inc' 424.7 '8' 'Trt' 'NoCue' 'Neut' 402.9 '8' 'Trt' 'NoCue' 'Cong' 412.7 '8' 'Trt' 'NoCue' 'Inc' 502.4 '8' 'Trt' 'Cent' 'Neut' 387.8 '8' 'Trt' 'Cent' 'Cong' 358.2 '8' 'Trt' 'Cent' 'Inc' 437.8 '8' 'Trt' 'Double' 'Neut' 357.4 '8' 'Trt' 'Double' 'Cong' 401.8 '8' 'Trt' 'Double' 'Inc' 459.5 '8' 'Trt' 'Spatial' 'Neut' 360.1 '8' 'Trt' 'Spatial' 'Cong' 335.6 '8' 'Trt' 'Spatial' 'Inc' 405.1 '9' 'Trt' 'NoCue' 'Neut' 419.2 '9' 'Trt' 'NoCue' 'Cong' 420.1 '9' 'Trt' 'NoCue' 'Inc' 500.0 '9' 'Trt' 'Cent' 'Neut' 386.1 '9' 'Trt' 'Cent' 'Cong' 381.4 '9' 'Trt' 'Cent' 'Inc' 460.0 '9' 'Trt' 'Double' 'Neut' 370.2 '9' 'Trt' 'Double' 'Cong' 369.4 '9' 'Trt' 'Double' 'Inc' 445.4 '9' 'Trt' 'Spatial' 'Neut' 351.2 '9' 'Trt' 'Spatial' 'Cong' 336.6 '9' 'Trt' 'Spatial' 'Inc' 422.3 '10' 'Trt' 'NoCue' 'Neut' 441.6 '10' 'Trt' 'NoCue' 'Cong' 432.2 '10' 'Trt' 'NoCue' 'Inc' 516.9 '10' 'Trt' 'Cent' 'Neut' 382.5 '10' 'Trt' 'Cent' 'Cong' 376.9 '10' 'Trt' 'Cent' 'Inc' 442.9 '10' 'Trt' 'Double' 'Neut' 385.6 '10' 'Trt' 'Double' 'Cong' 385.9 '10' 'Trt' 'Double' 'Inc' 457.8 '10' 'Trt' 'Spatial' 'Neut' 342.2 '10' 'Trt' 'Spatial' 'Cong' 331.5 '10' 'Trt' 'Spatial' 'Inc' 408.1 '11' 'Ctrl' 'NoCue' 'Neut' 446.7 '11' 'Ctrl' 'NoCue' 'Cong' 433.8 '11' 'Ctrl' 'NoCue' 'Inc' 517.3 '11' 'Ctrl' 'Cent' 'Neut' 380.3 '11' 'Ctrl' 'Cent' 'Cong' 371.6 '11' 'Ctrl' 'Cent' 'Inc' 493.7 '11' 'Ctrl' 'Double' 'Neut' 390.9 '11' 'Ctrl' 'Double' 'Cong' 394.2 '11' 'Ctrl' 'Double' 'Inc' 482.1 '11' 'Ctrl' 'Spatial' 'Neut' 345.2 '11' 'Ctrl' 'Spatial' 'Cong' 330.7 '11' 'Ctrl' 'Spatial' 'Inc' 391.5 '12' 'Ctrl' 'NoCue' 'Neut' 420.7 '12' 'Ctrl' 'NoCue' 'Cong' 442.7 '12' 'Ctrl' 'NoCue' 'Inc' 513.3 '12' 'Ctrl' 'Cent' 'Neut' 374.7 '12' 'Ctrl' 'Cent' 'Cong' 373.0 '12' 'Ctrl' 'Cent' 'Inc' 486.7 '12' 'Ctrl' 'Double' 'Neut' 380.0 '12' 'Ctrl' 'Double' 'Cong' 374.9 '12' 'Ctrl' 'Double' 'Inc' 495.7 '12' 'Ctrl' 'Spatial' 'Neut' 352.6 '12' 'Ctrl' 'Spatial' 'Cong' 347.6 '12' 'Ctrl' 'Spatial' 'Inc' 424.4 '13' 'Ctrl' 'NoCue' 'Neut' 422.1 '13' 'Ctrl' 'NoCue' 'Cong' 424.2 '13' 'Ctrl' 'NoCue' 'Inc' 503.6 '13' 'Ctrl' 'Cent' 'Neut' 364.8 '13' 'Ctrl' 'Cent' 'Cong' 364.3 '13' 'Ctrl' 'Cent' 'Inc' 474.6 '13' 'Ctrl' 'Double' 'Neut' 383.8 '13' 'Ctrl' 'Double' 'Cong' 363.6 '13' 'Ctrl' 'Double' 'Inc' 477.1 '13' 'Ctrl' 'Spatial' 'Neut' 338.0 '13' 'Ctrl' 'Spatial' 'Cong' 332.8 '13' 'Ctrl' 'Spatial' 'Inc' 420.3 '14' 'Ctrl' 'NoCue' 'Neut' 431.7 '14' 'Ctrl' 'NoCue' 'Cong' 436.4 '14' 'Ctrl' 'NoCue' 'Inc' 481.9 '14' 'Ctrl' 'Cent' 'Neut' 376.7 '14' 'Ctrl' 'Cent' 'Cong' 388.7 '14' 'Ctrl' 'Cent' 'Inc' 484.4 '14' 'Ctrl' 'Double' 'Neut' 383.4 '14' 'Ctrl' 'Double' 'Cong' 363.5 '14' 'Ctrl' 'Double' 'Inc' 467.4 '14' 'Ctrl' 'Spatial' 'Neut' 315.9 '14' 'Ctrl' 'Spatial' 'Cong' 354.7 '14' 'Ctrl' 'Spatial' 'Inc' 408.6 '15' 'Ctrl' 'NoCue' 'Neut' 430.9 '15' 'Ctrl' 'NoCue' 'Cong' 446.8 '15' 'Ctrl' 'NoCue' 'Inc' 505.1 '15' 'Ctrl' 'Cent' 'Neut' 372.7 '15' 'Ctrl' 'Cent' 'Cong' 382.8 '15' 'Ctrl' 'Cent' 'Inc' 483.5 '15' 'Ctrl' 'Double' 'Neut' 369.3 '15' 'Ctrl' 'Double' 'Cong' 378.1 '15' 'Ctrl' 'Double' 'Inc' 461.1 '15' 'Ctrl' 'Spatial' 'Neut' 342.6 '15' 'Ctrl' 'Spatial' 'Cong' 336.2 '15' 'Ctrl' 'Spatial' 'Inc' 421.7 '16' 'Ctrl' 'NoCue' 'Neut' 425.6 '16' 'Ctrl' 'NoCue' 'Cong' 417.5 '16' 'Ctrl' 'NoCue' 'Inc' 495.2 '16' 'Ctrl' 'Cent' 'Neut' 373.9 '16' 'Ctrl' 'Cent' 'Cong' 378.6 '16' 'Ctrl' 'Cent' 'Inc' 490.9 '16' 'Ctrl' 'Double' 'Neut' 381.9 '16' 'Ctrl' 'Double' 'Cong' 358.5 '16' 'Ctrl' 'Double' 'Inc' 464.4 '16' 'Ctrl' 'Spatial' 'Neut' 340.3 '16' 'Ctrl' 'Spatial' 'Cong' 351.1 '16' 'Ctrl' 'Spatial' 'Inc' 408.4 '17' 'Ctrl' 'NoCue' 'Neut' 421.6 '17' 'Ctrl' 'NoCue' 'Cong' 432.6 '17' 'Ctrl' 'NoCue' 'Inc' 502.8 '17' 'Ctrl' 'Cent' 'Neut' 386.0 '17' 'Ctrl' 'Cent' 'Cong' 389.3 '17' 'Ctrl' 'Cent' 'Inc' 487.0 '17' 'Ctrl' 'Double' 'Neut' 369.5 '17' 'Ctrl' 'Double' 'Cong' 368.7 '17' 'Ctrl' 'Double' 'Inc' 482.0 '17' 'Ctrl' 'Spatial' 'Neut' 350.8 '17' 'Ctrl' 'Spatial' 'Cong' 333.9 '17' 'Ctrl' 'Spatial' 'Inc' 421.7 '18' 'Ctrl' 'NoCue' 'Neut' 432.5 '18' 'Ctrl' 'NoCue' 'Cong' 413.6 '18' 'Ctrl' 'NoCue' 'Inc' 484.4 '18' 'Ctrl' 'Cent' 'Neut' 388.4 '18' 'Ctrl' 'Cent' 'Cong' 374.6 '18' 'Ctrl' 'Cent' 'Inc' 475.4 '18' 'Ctrl' 'Double' 'Neut' 380.8 '18' 'Ctrl' 'Double' 'Cong' 372.6 '18' 'Ctrl' 'Double' 'Inc' 464.2 '18' 'Ctrl' 'Spatial' 'Neut' 337.4 '18' 'Ctrl' 'Spatial' 'Cong' 338.3 '18' 'Ctrl' 'Spatial' 'Inc' 407.7 '19' 'Ctrl' 'NoCue' 'Neut' 436.6 '19' 'Ctrl' 'NoCue' 'Cong' 421.7 '19' 'Ctrl' 'NoCue' 'Inc' 494.7 '19' 'Ctrl' 'Cent' 'Neut' 393.5 '19' 'Ctrl' 'Cent' 'Cong' 393.9 '19' 'Ctrl' 'Cent' 'Inc' 482.2 '19' 'Ctrl' 'Double' 'Neut' 368.6 '19' 'Ctrl' 'Double' 'Cong' 384.2 '19' 'Ctrl' 'Double' 'Inc' 477.8 '19' 'Ctrl' 'Spatial' 'Neut' 344.0 '19' 'Ctrl' 'Spatial' 'Cong' 339.6 '19' 'Ctrl' 'Spatial' 'Inc' 392.7 '20' 'Ctrl' 'NoCue' 'Neut' 412.5 '20' 'Ctrl' 'NoCue' 'Cong' 424.3 '20' 'Ctrl' 'NoCue' 'Inc' 488.2 '20' 'Ctrl' 'Cent' 'Neut' 372.9 '20' 'Ctrl' 'Cent' 'Cong' 393.0 '20' 'Ctrl' 'Cent' 'Inc' 475.3 '20' 'Ctrl' 'Double' 'Neut' 384.2 '20' 'Ctrl' 'Double' 'Cong' 366.5 '20' 'Ctrl' 'Double' 'Inc' 460.0 '20' 'Ctrl' 'Spatial' 'Neut' 338.1 '20' 'Ctrl' 'Spatial' 'Cong' 372.3 '20' 'Ctrl' 'Spatial' 'Inc' 418.3
Names of X columns:
sid group cue flanker mean_rt
Column number of first sample
Column number of second sample
Confidence
Alternative
0
two.sided
less
greater
Are observations paired?
-1' OR 2+474-474-1=0+0+0+1 or 'fWn26Dss'='
unpaired
paired
Null Hypothesis
Chart options
Title:
R Code
par1 <- as.numeric(par1) #column number of first sample par2 <- as.numeric(par2) #column number of second sample par3 <- as.numeric(par3) #confidence (= 1 - alpha) if (par5 == 'unpaired') paired <- FALSE else paired <- TRUE par6 <- as.numeric(par6) #H0 z <- t(y) if (par1 == par2) stop('Please, select two different column numbers') if (par1 < 1) stop('Please, select a column number greater than zero for the first sample') if (par2 < 1) stop('Please, select a column number greater than zero for the second sample') if (par1 > length(z[1,])) stop('The column number for the first sample should be smaller') if (par2 > length(z[1,])) stop('The column number for the second sample should be smaller') if (par3 <= 0) stop('The confidence level should be larger than zero') if (par3 >= 1) stop('The confidence level should be smaller than zero') (r.t <- t.test(z[,par1],z[,par2],var.equal=TRUE,alternative=par4,paired=paired,mu=par6,conf.level=par3)) (v.t <- var.test(z[,par1],z[,par2],conf.level=par3)) (r.w <- t.test(z[,par1],z[,par2],var.equal=FALSE,alternative=par4,paired=paired,mu=par6,conf.level=par3)) (w.t <- wilcox.test(z[,par1],z[,par2],alternative=par4,paired=paired,mu=par6,conf.level=par3)) (ks.t <- ks.test(z[,par1],z[,par2],alternative=par4)) m1 <- mean(z[,par1],na.rm=T) m2 <- mean(z[,par2],na.rm=T) mdiff <- m1 - m2 newsam1 <- z[!is.na(z[,par1]),par1] newsam2 <- z[,par2]+mdiff newsam2 <- newsam2[!is.na(newsam2)] (ks1.t <- ks.test(newsam1,newsam2,alternative=par4)) mydf <- data.frame(cbind(z[,par1],z[,par2])) colnames(mydf) <- c('Variable 1','Variable 2') bitmap(file='test1.png') boxplot(mydf, notch=TRUE, ylab='value',main=main) dev.off() bitmap(file='test2.png') qqnorm(z[,par1],main='Normal QQplot - Variable 1') qqline(z[,par1]) dev.off() bitmap(file='test3.png') qqnorm(z[,par2],main='Normal QQplot - Variable 2') qqline(z[,par2]) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,paste('Two Sample t-test (',par5,')',sep=''),2,TRUE) a<-table.row.end(a) if(!paired){ a<-table.row.start(a) a<-table.element(a,'Mean of Sample 1',header=TRUE) a<-table.element(a,r.t$estimate[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Mean of Sample 2',header=TRUE) a<-table.element(a,r.t$estimate[[2]]) a<-table.row.end(a) } else { a<-table.row.start(a) a<-table.element(a,'Difference: Mean1 - Mean2',header=TRUE) a<-table.element(a,r.t$estimate) a<-table.row.end(a) } a<-table.row.start(a) a<-table.element(a,'t-stat',header=TRUE) a<-table.element(a,r.t$statistic[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'df',header=TRUE) a<-table.element(a,r.t$parameter[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-value',header=TRUE) a<-table.element(a,r.t$p.value) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'H0 value',header=TRUE) a<-table.element(a,r.t$null.value[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Alternative',header=TRUE) a<-table.element(a,r.t$alternative) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'CI Level',header=TRUE) a<-table.element(a,attr(r.t$conf.int,'conf.level')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'CI',header=TRUE) a<-table.element(a,paste('[',r.t$conf.int[1],',',r.t$conf.int[2],']',sep='')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'F-test to compare two variances',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'F-stat',header=TRUE) a<-table.element(a,v.t$statistic[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'df',header=TRUE) a<-table.element(a,v.t$parameter[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-value',header=TRUE) a<-table.element(a,v.t$p.value) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'H0 value',header=TRUE) a<-table.element(a,v.t$null.value[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Alternative',header=TRUE) a<-table.element(a,v.t$alternative) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'CI Level',header=TRUE) a<-table.element(a,attr(v.t$conf.int,'conf.level')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'CI',header=TRUE) a<-table.element(a,paste('[',v.t$conf.int[1],',',v.t$conf.int[2],']',sep='')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,paste('Welch Two Sample t-test (',par5,')',sep=''),2,TRUE) a<-table.row.end(a) if(!paired){ a<-table.row.start(a) a<-table.element(a,'Mean of Sample 1',header=TRUE) a<-table.element(a,r.w$estimate[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Mean of Sample 2',header=TRUE) a<-table.element(a,r.w$estimate[[2]]) a<-table.row.end(a) } else { a<-table.row.start(a) a<-table.element(a,'Difference: Mean1 - Mean2',header=TRUE) a<-table.element(a,r.w$estimate) a<-table.row.end(a) } a<-table.row.start(a) a<-table.element(a,'t-stat',header=TRUE) a<-table.element(a,r.w$statistic[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'df',header=TRUE) a<-table.element(a,r.w$parameter[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-value',header=TRUE) a<-table.element(a,r.w$p.value) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'H0 value',header=TRUE) a<-table.element(a,r.w$null.value[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Alternative',header=TRUE) a<-table.element(a,r.w$alternative) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'CI Level',header=TRUE) a<-table.element(a,attr(r.w$conf.int,'conf.level')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'CI',header=TRUE) a<-table.element(a,paste('[',r.w$conf.int[1],',',r.w$conf.int[2],']',sep='')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable1.tab') a<-table.start() a<-table.row.start(a) myWlabel <- 'Wilcoxon Signed-Rank Test' if (par5=='unpaired') myWlabel = 'Wilcoxon Rank-Sum Test (Mann–Whitney U test)' a<-table.element(a,paste(myWlabel,' with continuity correction (',par5,')',sep=''),2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'W',header=TRUE) a<-table.element(a,w.t$statistic[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-value',header=TRUE) a<-table.element(a,w.t$p.value) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'H0 value',header=TRUE) a<-table.element(a,w.t$null.value[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Alternative',header=TRUE) a<-table.element(a,w.t$alternative) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Kolmogorov-Smirnov Test to compare <i>Distributions</i> of two Samples',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'KS Statistic',header=TRUE) a<-table.element(a,ks.t$statistic[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-value',header=TRUE) a<-table.element(a,ks.t$p.value) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Kolmogorov-Smirnov Test to compare <i>Distributional Shape</i> of two Samples',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'KS Statistic',header=TRUE) a<-table.element(a,ks1.t$statistic[[1]]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-value',header=TRUE) a<-table.element(a,ks1.t$p.value) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable2.tab')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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