R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-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(4581945
+ ,193572
+ ,3874038
+ ,180303
+ ,4086290
+ ,178978
+ ,4364364
+ ,183016
+ ,3793586
+ ,173405
+ ,4533914
+ ,185085
+ ,4823043
+ ,197695
+ ,3981535
+ ,176908
+ ,4746356
+ ,201772
+ ,5284534
+ ,217889
+ ,4264830
+ ,186296
+ ,3924674
+ ,178952
+ ,3734753
+ ,182010
+ ,3762290
+ ,160719
+ ,3609739
+ ,175751
+ ,3877594
+ ,184732
+ ,3636415
+ ,181583
+ ,3578195
+ ,180793
+ ,3604342
+ ,184314
+ ,3459513
+ ,174547
+ ,3366571
+ ,181904
+ ,3371277
+ ,180553
+ ,3724848
+ ,188285
+ ,3350830
+ ,184075
+ ,3305159
+ ,184710
+ ,3390736
+ ,185165
+ ,3349758
+ ,183858
+ ,3253655
+ ,176374
+ ,3734250
+ ,179867
+ ,3455433
+ ,152919
+ ,2966726
+ ,134569
+ ,2993716
+ ,170594
+ ,3009320
+ ,175472
+ ,3169713
+ ,172444
+ ,3170061
+ ,167593
+ ,3368934
+ ,178081
+ ,3292638
+ ,176617
+ ,3337344
+ ,167033
+ ,3208306
+ ,171483
+ ,3359130
+ ,174373
+ ,3223078
+ ,169615
+ ,3437159
+ ,169627
+ ,3400156
+ ,167165
+ ,3657576
+ ,171452
+ ,3765613
+ ,172603
+ ,3481921
+ ,164246
+ ,3604800
+ ,164538
+ ,3981340
+ ,184937
+ ,3734078
+ ,173475
+ ,4018173
+ ,167173
+ ,3887417
+ ,162951
+ ,3919880
+ ,162925
+ ,4014466
+ ,165517
+ ,4197758
+ ,176580
+ ,3896531
+ ,163429
+ ,3964742
+ ,161378
+ ,4201847
+ ,169646
+ ,4050512
+ ,168842
+ ,3997402
+ ,162903
+ ,4314479
+ ,166636
+ ,4925744
+ ,174396
+ ,5130631
+ ,189289
+ ,4444855
+ ,174750
+ ,3967319
+ ,165089
+ ,3931250
+ ,162605
+ ,4235952
+ ,169358
+ ,4169219
+ ,172718
+ ,3779064
+ ,162125
+ ,3558810
+ ,162719
+ ,3699466
+ ,169897
+ ,3650693
+ ,169705
+ ,3525633
+ ,169465
+ ,3470276
+ ,163228
+ ,3859094
+ ,180314
+ ,3661155
+ ,168509
+ ,3356365
+ ,160680
+ ,3344440
+ ,173548
+ ,3338684
+ ,159224
+ ,3404294
+ ,162800
+ ,3289319
+ ,163336
+ ,3469252
+ ,163625
+ ,3571850
+ ,148873
+ ,3639914
+ ,142365
+ ,3091730
+ ,168464
+ ,3078149
+ ,162302
+ ,3188115
+ ,161287
+ ,3246082
+ ,155836
+ ,3486992
+ ,161265
+ ,3378187
+ ,162697
+ ,3282306
+ ,178590
+ ,3288345
+ ,162764
+ ,3325749
+ ,155748
+ ,3352262
+ ,168340
+ ,3531954
+ ,156793
+ ,3722622
+ ,170320
+ ,3809365
+ ,149149
+ ,3750617
+ ,166763
+ ,3615286
+ ,165642
+ ,3696556
+ ,154608
+ ,4123959
+ ,160565
+ ,4136163
+ ,157996
+ ,3933392
+ ,155448
+ ,4035576
+ ,155564
+ ,4551202
+ ,159700
+ ,4032195
+ ,157902
+ ,3970893
+ ,152370
+ ,4489016
+ ,156769
+ ,5426127
+ ,175004
+ ,4578224
+ ,159617
+ ,4126390
+ ,151568
+ ,4892100
+ ,155308
+ ,4128697
+ ,139183
+ ,4408721
+ ,153829
+ ,4199465
+ ,155532
+ ,4074767
+ ,147321
+ ,4161758
+ ,143100
+ ,3891319
+ ,146407
+ ,4470302
+ ,159126
+ ,4283111
+ ,163729
+ ,3845962
+ ,153325
+ ,3911471
+ ,147558
+ ,3798478
+ ,153640
+ ,3644313
+ ,148529
+ ,3784029
+ ,163150
+ ,3647134
+ ,156807
+ ,3994662
+ ,156221
+ ,3607836
+ ,154862
+ ,3566008
+ ,151588
+ ,3511412
+ ,161384
+ ,3258665
+ ,148655
+ ,3486573
+ ,155579
+ ,3369443
+ ,150044
+ ,3465544
+ ,156718
+ ,3905224
+ ,153577
+ ,3733881
+ ,138813
+ ,3220642
+ ,149389
+ ,3225812
+ ,161463
+ ,3354461
+ ,150575
+ ,3352261
+ ,147350
+ ,3450652
+ ,156568)
+ ,dim=c(2
+ ,140)
+ ,dimnames=list(c('QBEPIL'
+ ,'QBETAF')
+ ,1:140))
> y <- array(NA,dim=c(2,140),dimnames=list(c('QBEPIL','QBETAF'),1:140))
> 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 = 'paired'
> par4 = 'two.sided'
> par3 = '0.95'
> par2 = '2'
> par1 = '1'
> main = 'Two Samples'
> #'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))
Paired t-test
data: z[, par1] and z[, par2]
t = 90.2243, df = 139, p-value < 2.2e-16
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
3524489 3682422
sample estimates:
mean of the differences
3603456
> (v.t <- var.test(z[,par1],z[,par2],conf.level=par3))
F test to compare two variances
data: z[, par1] and z[, par2]
F = 1273.494, num df = 139, denom df = 139, p-value < 2.2e-16
alternative hypothesis: true ratio of variances is not equal to 1
95 percent confidence interval:
912.0253 1778.2245
sample estimates:
ratio of variances
1273.493
> (r.w <- t.test(z[,par1],z[,par2],var.equal=FALSE,alternative=par4,paired=paired,mu=par6,conf.level=par3))
Paired t-test
data: z[, par1] and z[, par2]
t = 90.2243, df = 139, p-value < 2.2e-16
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
3524489 3682422
sample estimates:
mean of the differences
3603456
> (w.t <- wilcox.test(z[,par1],z[,par2],alternative=par4,paired=paired,mu=par6,conf.level=par3))
Wilcoxon signed rank test with continuity correction
data: z[, par1] and z[, par2]
V = 9870, p-value < 2.2e-16
alternative hypothesis: true location shift is not equal to 0
> (ks.t <- ks.test(z[,par1],z[,par2],alternative=par4))
Two-sample Kolmogorov-Smirnov test
data: z[, par1] and z[, par2]
D = 1, p-value < 2.2e-16
alternative hypothesis: two-sided
> 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 = 0.5429, p-value < 2.2e-16
alternative hypothesis: two-sided
> mydf <- data.frame(cbind(z[,par1],z[,par2]))
> colnames(mydf) <- c('Variable 1','Variable 2')
> postscript(file="/var/wessaorg/rcomp/tmp/15coq1322568202.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/2ua571322568202.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/370qn1322568202.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/4tde01322568202.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$conf.int[2],']',sep=''))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/5f6ov1322568202.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,paste('Wicoxon rank sum test with continuity correction (',par5,')',sep=''),2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'W',header=TRUE)
> a<-table.element(a,w.t$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$alternative)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Kolmogorov-Smirnov Test to compare Distributions of two Samples',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'KS Statistic',header=TRUE)
> a<-table.element(a,ks.t$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$p.value)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'KS Statistic',header=TRUE)
> a<-table.element(a,ks1.t$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/6wud31322568202.tab")
>
> try(system("convert tmp/15coq1322568202.ps tmp/15coq1322568202.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ua571322568202.ps tmp/2ua571322568202.png",intern=TRUE))
character(0)
> try(system("convert tmp/370qn1322568202.ps tmp/370qn1322568202.png",intern=TRUE))
character(0)
>
>
> proc.time()
user system elapsed
0.940 0.168 1.121