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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_twosampletests_mean.wasp
Title produced by softwarePaired and Unpaired Two Samples Tests about the Mean
Date of computationTue, 20 Jan 2015 13:10:46 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Jan/20/t1421759459y34vvuiwgtiam5k.htm/, Retrieved Sat, 25 May 2024 22:22:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=275141, Retrieved Sat, 25 May 2024 22:22:38 +0000
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-       [Paired and Unpaired Two Samples Tests about the Mean] [] [2015-01-20 13:10:46] [fc88acf9f103c58936ecf69cf99ccce2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.5 12.9
6 12.2
6.5 12.8
1 7.4
1 6.7
5.5 12.6
8.5 14.8
6.5 13.3
4.5 11.1
2 8.2
5 11.4
0.5 6.4
5 10.6
5 12
2.5 6.3
5 11.3
5.5 11.9
3.5 9.3
3 9.6
4 10
0.5 6.4
6.5 13.8
4.5 10.8
7.5 13.8
5.5 11.7
4 10.9
7.5 16.1
7 13.4
4 9.9
5.5 11.5
2.5 8.3
5.5 11.7
3.5 9
2.5 9.7
4.5 10.8
4.5 10.3
4.5 10.4
6 12.7
2.5 9.3
5 11.8
0 5.9
5 11.4
6.5 13
5 10.8
6 12.3
4.5 11.3
5.5 11.8
1 7.9
7.5 12.7
6 12.3
5 11.6
1 6.7
5 10.9
6.5 12.1
7 13.3
4.5 10.1
0 5.7
8.5 14.3
3.5 8
7.5 13.3
3.5 9.3
6 12.5
1.5 7.6
9 15.9
3.5 9.2
3.5 9.1
4 11.1
6.5 13
7.5 14.5
6 12.2
5 12.3
5.5 11.4
3.5 8.8
7.5 14.6
6.5 12.6
6.5 13
6.5 12.6
7 13.2
3.5 9.9
1.5 7.7
4 10.5
7.5 13.4
4.5 10.9
0 4.3
3.5 10.3
5.5 11.8
5 11.2
4.5 11.4
2.5 8.6
7.5 13.2
7 12.6
0 5.6
4.5 9.9
3 8.8
1.5 7.7
3.5 9
2.5 7.3
5.5 11.4
8 13.6
1 7.9
5 10.7
4.5 10.3
3 8.3
3 9.6
8 14.2
2.5 8.5
7 13.5
0 4.9
1 6.4
3.5 9.6
5.5 11.6
5.5 11.1
0.5 4.35
7.5 12.7
9 18.1
9.5 17.85
8.5 16.6
7 12.6
8 17.1
10 19.1
7 16.1
8.5 13.35
9 18.4
9.5 14.7
4 10.6
6 12.6
8 16.2
5.5 13.6
9.5 18.9
7.5 14.1
7 14.5
7.5 16.15
8 14.75
7 14.8
7 12.45
6 12.65
10 17.35
2.5 8.6
9 18.4
8 16.1
6 11.6
8.5 17.75
6 15.25
9 17.65
8 16.35
9 17.65
5.5 13.6
7 14.35
5.5 14.75
9 18.25
2 9.9
8.5 16
9 18.25
8.5 16.85
9 14.6
7.5 13.85
10 18.95
9 15.6
7.5 14.85
6 11.75
10.5 18.45
8.5 15.9
8 17.1
10 16.1
10.5 19.9
6.5 10.95
9.5 18.45
8.5 15.1
7.5 15
5 11.35
8 15.95
10 18.1
7 14.6
7.5 15.4
7.5 15.4
9.5 17.6
6 13.35
10 19.1
7 15.35
3 7.6
6 13.4
7 13.9
10 19.1
7 15.25
3.5 12.9
8 16.1
10 17.35
5.5 13.15
6 12.15
6.5 12.6
6.5 10.35
8.5 15.4
4 9.6
9.5 18.2
8 13.6
8.5 14.85
5.5 14.75
7 14.1
9 14.9
8 16.25
10 19.25
8 13.6
6 13.6
8 15.65
5 12.75
9 14.6
4.5 9.85
8.5 12.65
9.5 19.2
8.5 16.6
7.5 11.2
7.5 15.25
5 11.9
7 13.2
8 16.35
5.5 12.4
8.5 15.85
9.5 18.15
7 11.15
8 15.65
8.5 17.75
3.5 7.65
6.5 12.35
6.5 15.6
10.5 19.3
8.5 15.2
8 17.1
10 15.6
10 18.4
9.5 19.05
9 18.55
10 19.1
7.5 13.1
4.5 12.85
4.5 9.5
0.5 4.5
6.5 11.85
4.5 13.6
5.5 11.7
5 12.4
6 13.35
4 11.4
8 14.9
10.5 19.9
6.5 11.2
8 14.6
8.5 17.6
5.5 14.05
7 16.1
5 13.35
3.5 11.85
5 11.95
9 14.75
8.5 15.15
5 13.2
9.5 16.85
3 7.85
1.5 7.7
6 12.6
0.5 7.85
6.5 10.95
7.5 12.35
4.5 9.95
8 14.9
9 16.65
7.5 13.4
8.5 13.95
7 15.7
9.5 16.85
6.5 10.95
9.5 15.35
6 12.2
8 15.1
9.5 17.75
8 15.2
8 14.6
9 16.65
5 8.1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net
R Engine error message
Error in t.test.default(z[, par1], z[, par2], var.equal = TRUE, alternative = par4,  : 
  'mu' must be a single number
Calls: t.test -> t.test.default
Execution halted


\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
R Engine error message & 
Error in t.test.default(z[, par1], z[, par2], var.equal = TRUE, alternative = par4,  : 
  'mu' must be a single number
Calls: t.test -> t.test.default
Execution halted

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=275141&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[ROW][C]R Engine error message[/C][C]
Error in t.test.default(z[, par1], z[, par2], var.equal = TRUE, alternative = par4,  : 
  'mu' must be a single number
Calls: t.test -> t.test.default
Execution halted

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=275141&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=275141&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net
R Engine error message
Error in t.test.default(z[, par1], z[, par2], var.equal = TRUE, alternative = par4,  : 
  'mu' must be a single number
Calls: t.test -> t.test.default
Execution halted


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 1 ; par2 = 2 ; par3 = 0.99 ; par4 = two.sided ; par5 = paired ; par6 = ;
R code (references can be found in the software module):
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)
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='mytable2.tab')