R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
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> x <- array(list(55900884.580
+ ,21502068.180
+ ,29566620.425
+ ,23349213.136
+ ,88899431.803
+ ,95072468.003
+ ,113896073.405
+ ,36808455.820
+ ,88397866.100
+ ,14240249.548
+ ,38103176.260
+ ,42852507.308
+ ,65103038.495
+ ,32483335.635
+ ,39700454.792
+ ,109748778.040
+ ,140741175.386
+ ,10638507.610
+ ,47543214.520
+ ,25246954.678
+ ,37989856.925
+ ,2643404.429
+ ,104132676.204
+ ,36691604.488
+ ,79729002.090
+ ,47549755.035
+ ,61047378.575
+ ,44281835.060
+ ,39614200.384
+ ,47409113.778
+ ,113745768.819
+ ,28140174.338
+ ,14580476.446
+ ,30103608.696
+ ,37629172.185
+ ,52878132.580
+ ,67775101.032
+ ,36150010.780
+ ,15969139.390
+ ,47109110.327
+ ,49526410.312
+ ,5967190.488
+ ,50510191.360
+ ,59111330.612
+ ,116518068.802
+ ,35360666.400
+ ,82388000.978
+ ,40448173.380
+ ,33839975.591
+ ,26476752.186
+ ,56162194.504
+ ,20984338.920
+ ,31456163.762
+ ,19331574.980
+ ,18437397.884
+ ,47190566.436
+ ,113885817.872
+ ,18321012.348
+ ,106984575.488
+ ,48253731.584
+ ,27021757.000
+ ,39657583.182
+ ,15695220.100
+ ,57260646.570
+ ,32656732.232
+ ,26225308.396
+ ,25356895.188
+ ,36642374.304
+ ,47535627.595
+ ,38417809.954
+ ,49717628.960
+ ,23166096.432
+ ,119166238.168
+ ,75474124.190
+ ,33621028.628
+ ,88588926.119
+ ,101224949.719
+ ,70699196.800
+ ,8800258.664
+ ,32693217.438)
+ ,dim=c(2
+ ,44)
+ ,dimnames=list(c('2bcc'
+ ,'nask')
+ ,1:44))
>  y <- array(NA,dim=c(2,44),dimnames=list(c('2bcc','nask'),1:44))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par6 = '0.0'
> par5 = 'unpaired'
> par4 = 'two.sided'
> par3 = '0.95'
> par2 = '2'
> par1 = '1'
> main = 'Two Samples'
> par6 <- '0.0'
> par5 <- 'unpaired'
> par4 <- 'two.sided'
> par3 <- '0.95'
> par2 <- '2'
> par1 <- '1'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: 
> #Technical description: 
> 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))

	Two Sample t-test

data:  z[, par1] and z[, par2]
t = 3.2264, df = 86, p-value = 0.001774
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
  7999261 33679409
sample estimates:
mean of x mean of y 
 61109838  40270503 

> (v.t <- var.test(z[,par1],z[,par2],conf.level=par3))

	F test to compare two variances

data:  z[, par1] and z[, par2]
F = 2.2207, num df = 43, denom df = 43, p-value = 0.01024
alternative hypothesis: true ratio of variances is not equal to 1
95 percent confidence interval:
 1.211696 4.069749
sample estimates:
ratio of variances 
          2.220653 

> (r.w <- t.test(z[,par1],z[,par2],var.equal=FALSE,alternative=par4,paired=paired,mu=par6,conf.level=par3))

	Welch Two Sample t-test

data:  z[, par1] and z[, par2]
t = 3.2264, df = 75.198, p-value = 0.001857
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
  7972896 33705774
sample estimates:
mean of x mean of y 
 61109838  40270503 

> (w.t <- wilcox.test(z[,par1],z[,par2],alternative=par4,paired=paired,mu=par6,conf.level=par3))

	Wilcoxon rank sum test with continuity correction

data:  z[, par1] and z[, par2]
W = 1312, p-value = 0.004148
alternative hypothesis: true location shift is not equal to 0

Warning message:
In wilcox.test.default(z[, par1], z[, par2], alternative = par4,  :
  cannot compute exact p-value with ties
> (ks.t <- ks.test(z[,par1],z[,par2],alternative=par4))

	Two-sample Kolmogorov-Smirnov test

data:  z[, par1] and z[, par2]
D = 0.3409, p-value = 0.01203
alternative hypothesis: two-sided

Warning message:
In ks.test(z[, par1], z[, par2], alternative = par4) :
  cannot compute exact p-value with ties
> 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))

	Two-sample Kolmogorov-Smirnov test

data:  newsam1 and newsam2
D = 0.2955, p-value = 0.04295
alternative hypothesis: two-sided

Warning message:
In ks.test(newsam1, newsam2, alternative = par4) :
  cannot compute exact p-value with ties
> mydf <- data.frame(cbind(z[,par1],z[,par2]))
> colnames(mydf) <- c('Variable 1','Variable 2')
> postscript(file="/var/fisher/rcomp/tmp/16n4q1383345542.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> boxplot(mydf, notch=TRUE, ylab='value',main=main)
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/22l8j1383345542.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqnorm(z[,par1],main='Normal QQplot - Variable 1')
> qqline(z[,par1])
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/379qc1383345542.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqnorm(z[,par2],main='Normal QQplot - Variable 2')
> qqline(z[,par2])
> dev.off()
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/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$conf.int[2],']',sep=''))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/4ba6a1383345543.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,paste('Welch Two Sample t-test (',par5,')',sep=''),2,TRUE)
> a<-table.row.end(a)
> if(!paired){
+ a<-table.row.start(a)
+ a<-table.element(a,'Mean of Sample 1',header=TRUE)
+ a<-table.element(a,r.w$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="/var/fisher/rcomp/tmp/5h8o91383345543.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,paste('Wicoxon rank sum test 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="/var/fisher/rcomp/tmp/6c9pa1383345543.tab") 
> 
> try(system("convert tmp/16n4q1383345542.ps tmp/16n4q1383345542.png",intern=TRUE))
character(0)
> try(system("convert tmp/22l8j1383345542.ps tmp/22l8j1383345542.png",intern=TRUE))
character(0)
> try(system("convert tmp/379qc1383345542.ps tmp/379qc1383345542.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.884   0.574   2.436