R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
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
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- array(list(35.323
+ ,186.577
+ ,35.478
+ ,244.642
+ ,4.39
+ ,248.18
+ ,41.667
+ ,253.568
+ ,22.173
+ ,171.239
+ ,28.021
+ ,413.945
+ ,18.109
+ ,216.89
+ ,13.962
+ ,227.901
+ ,40.174
+ ,259.813
+ ,16.065
+ ,148.438
+ ,18.145
+ ,240.984
+ ,18.439
+ ,206.248
+ ,10.603
+ ,108.873
+ ,34.811
+ ,267.945
+ ,69.064
+ ,314.171
+ ,51.202
+ ,235.115
+ ,14.786
+ ,203.023
+ ,33.01
+ ,365.415
+ ,81.101
+ ,350.881
+ ,89.232
+ ,263.287
+ ,21.223
+ ,738.743
+ ,15.173
+ ,959.072
+ ,241.66
+ ,483.618
+ ,26.848
+ ,212.996
+ ,8.752
+ ,177.326
+ ,60.535
+ ,352.594
+ ,60.535
+ ,352.594
+ ,26.052
+ ,217.305
+ ,49.218
+ ,236.184
+ ,30.669
+ ,215.701
+ ,18.673
+ ,228.352
+ ,86
+ ,485.61
+ ,10.632
+ ,252.492
+ ,35.802
+ ,342.515
+ ,33.974
+ ,196.916
+ ,36.972
+ ,365.292
+ ,4.928
+ ,316.663
+ ,53.976
+ ,313.509
+ ,15.467
+ ,188.12
+ ,35.723
+ ,184.061
+ ,40.424
+ ,362.959
+ ,9.706
+ ,170.16
+ ,26.532
+ ,167.476
+ ,23.843
+ ,211.717
+ ,18.062
+ ,276.453
+ ,35.681
+ ,182.094
+ ,68.125
+ ,266.904
+ ,23.937
+ ,235.312
+ ,31.479
+ ,329.414
+ ,66.659
+ ,258.103
+ ,250.234
+ ,952.5
+ ,49.469
+ ,247.109
+ ,42.951
+ ,498.715
+ ,43.402
+ ,313.298
+ ,24.112
+ ,420.188
+ ,56.95
+ ,231.144
+ ,17.313
+ ,227.828
+ ,25.658
+ ,204.363
+ ,48.172
+ ,216.531
+ ,13.891
+ ,207.167
+ ,32.048
+ ,232.4
+ ,19.797
+ ,203.109
+ ,31.317
+ ,221.044
+ ,20.966
+ ,254.592
+ ,22.708
+ ,108.947
+ ,26.81
+ ,229.416
+ ,52.004
+ ,476.36
+ ,32.354
+ ,221.91
+ ,27.128
+ ,158.944
+ ,26.529
+ ,295.732
+ ,28.392
+ ,187.972
+ ,57.393
+ ,283.753
+ ,194.731
+ ,705.361
+ ,9.415
+ ,178.681
+ ,91.076
+ ,232.612
+ ,57.751
+ ,245.169
+ ,8.236
+ ,186.03
+ ,20.407
+ ,181.116
+ ,13.681
+ ,228.462
+ ,79.659
+ ,491.847
+ ,53.48
+ ,506.455
+ ,6.906
+ ,182.828
+ ,50.202
+ ,263.649
+ ,37.877
+ ,253.703
+ ,85.903
+ ,480.932
+ ,35.351
+ ,209.88
+ ,283.801
+ ,655.852
+ ,5.974
+ ,223.398
+ ,3.441
+ ,103.115
+ ,51.987
+ ,255.657
+ ,13.22
+ ,184.646
+ ,1.455
+ ,372.92
+ ,18.187
+ ,385.655
+ ,21.29
+ ,256.445
+ ,5.686
+ ,204.85
+ ,4.944
+ ,197.38
+ ,32.789
+ ,245.302
+ ,50.494
+ ,301.705
+ ,35.162
+ ,501.463
+ ,38.095
+ ,278.714
+ ,19.172
+ ,205.904
+ ,24.5
+ ,177.14
+ ,20.573
+ ,139.739
+ ,42.042
+ ,366.46
+ ,302.912
+ ,435.511
+ ,25.027
+ ,239.885
+ ,16.488
+ ,178.717
+ ,32.36
+ ,340.015
+ ,6.193
+ ,236.932
+ ,37.7
+ ,221.145
+ ,6.343
+ ,263.271
+ ,23.025
+ ,222.799
+ ,48.578
+ ,317.99
+ ,21.564
+ ,149.589
+ ,33.697
+ ,221.966
+ ,10.831
+ ,201.537
+ ,19.172
+ ,266.885
+ ,21.075
+ ,185.203
+ ,33.189
+ ,347.532
+ ,60.5
+ ,395.593
+ ,33.686
+ ,238.202
+ ,40.838
+ ,254.697
+ ,13.491
+ ,157.584
+ ,106.637
+ ,807.284
+ ,35.897
+ ,249.29
+ ,7.314
+ ,189.194
+ ,49.094
+ ,267.829
+ ,14.667
+ ,173.148
+ ,54.179
+ ,267.618
+ ,145.846
+ ,283.28
+ ,18.56
+ ,209.449
+ ,23.525
+ ,135.104
+ ,21.804
+ ,285.009
+ ,26.301
+ ,178.495
+ ,41.33
+ ,256.848
+ ,10.5
+ ,301.828
+ ,13.338
+ ,158.387
+ ,60.31
+ ,355.961
+ ,34.256
+ ,364.076
+ ,48.267
+ ,233.199
+ ,41.559
+ ,257.619
+ ,32.45
+ ,208.544
+ ,10.951
+ ,212.487
+ ,22.561
+ ,251.035
+ ,57.095
+ ,276.782
+ ,19.105
+ ,198.305
+ ,13.151
+ ,301.018
+ ,27.426
+ ,369.76
+ ,15.355
+ ,162.752
+ ,13.82
+ ,199.946
+ ,47.21
+ ,403.388
+ ,110.349
+ ,364.141
+ ,34.985
+ ,202.375
+ ,27.257
+ ,319.465
+ ,23.556
+ ,185.546
+ ,50.108
+ ,243.559
+ ,18.158
+ ,220.912
+ ,87.357
+ ,193.698
+ ,18.187
+ ,372.928
+ ,28.33
+ ,163.749
+ ,13.474
+ ,217.551
+ ,26.244
+ ,232.519)
+ ,dim=c(2
+ ,162)
+ ,dimnames=list(c('First'
+ ,'Last')
+ ,1:162))
>  y <- array(NA,dim=c(2,162),dimnames=list(c('First','Last'),1:162))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par6 = '230'
> par5 = 'unpaired'
> par4 = 'two.sided'
> par3 = '0.95'
> par2 = '1'
> par1 = '2'
> main = 'Two Samples'
> par6 <- '230'
> par5 <- 'unpaired'
> par4 <- 'two.sided'
> par3 <- '0.95'
> par2 <- '1'
> par1 <- '2'
> #'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 = 0.7682, df = 322, p-value = 0.4429
alternative hypothesis: true difference in means is not equal to 230 
95 percent confidence interval:
 216.5546 260.6718 
sample estimates:
mean of x mean of y 
278.71983  40.10668 

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

	F test to compare two variances

data:  z[, par1] and z[, par2] 
F = 9.0126, num df = 161, denom df = 161, p-value < 2.2e-16
alternative hypothesis: true ratio of variances is not equal to 1 
95 percent confidence interval:
  6.61007 12.28839 
sample estimates:
ratio of variances 
          9.012608 

> (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 = 0.7682, df = 196.293, p-value = 0.4433
alternative hypothesis: true difference in means is not equal to 230 
95 percent confidence interval:
 216.5011 260.7252 
sample estimates:
mean of x mean of y 
278.71983  40.10668 

> (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 = 10077, p-value = 0.0003048
alternative hypothesis: true location shift is not equal to 230 

> (ks.t <- ks.test(z[,par1],z[,par2],alternative=par4))

	Two-sample Kolmogorov-Smirnov test

data:  z[, par1] and z[, par2] 
D = 0.9506, p-value < 2.2e-16
alternative hypothesis: two-sided 

Warning message:
In ks.test(z[, par1], z[, par2], alternative = par4) :
  p-values will be approximate in the presence of 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 = 0.5, p-value < 2.2e-16
alternative hypothesis: two-sided 

Warning message:
In ks.test(newsam1, newsam2, alternative = par4) :
  p-values will be approximate in the presence of ties
> mydf <- data.frame(cbind(z[,par1],z[,par2]))
> colnames(mydf) <- c('Variable 1','Variable 2')
> postscript(file="/var/wessaorg/rcomp/tmp/1tsnn1355573586.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/wessaorg/rcomp/tmp/265mu1355573586.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/wessaorg/rcomp/tmp/3vv1o1355573586.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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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$conf.int[2],']',sep=''))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4uaf61355573586.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,paste('Welch Two Sample t-test (',par5,')',sep=''),2,TRUE)
> a<-table.row.end(a)
> if(!paired){
+ a<-table.row.start(a)
+ a<-table.element(a,'Mean of Sample 1',header=TRUE)
+ a<-table.element(a,r.w$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/wessaorg/rcomp/tmp/5a32k1355573587.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/wessaorg/rcomp/tmp/653w11355573587.tab") 
> 
> try(system("convert tmp/1tsnn1355573586.ps tmp/1tsnn1355573586.png",intern=TRUE))
character(0)
> try(system("convert tmp/265mu1355573586.ps tmp/265mu1355573586.png",intern=TRUE))
character(0)
> try(system("convert tmp/3vv1o1355573586.ps tmp/3vv1o1355573586.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.275   0.363   2.614