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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_Reddy-Moores K-S Test.wasp
Title produced by softwareAston University Statistical Software
Date of computationMon, 07 Nov 2011 07:17:23 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/07/t1320668310r6cv4vdc8tp8o7f.htm/, Retrieved Thu, 28 Mar 2024 17:18:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=140096, Retrieved Thu, 28 Mar 2024 17:18:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Aston University Statistical Software] [Reddy_Moores Wilc...] [2009-11-02 09:28:43] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RM    [Kolmogorov-Smirnov Test] [Mann-Whitney-Wilc...] [2010-11-02 12:37:15] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RM      [Wilcoxon-Mann-Whitney Test] [Mann-Whitney-Wilc...] [2010-11-03 14:20:14] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RM        [Aston University Statistical Software] [Mann-Whitney-Wilc...] [2011-11-01 11:14:29] [72617798859a54657cdee39682e42a20]
- RM          [Aston University Statistical Software] [ks ] [2011-11-03 15:57:55] [bac11d8dca1eb4c3a77abc84fa274bef]
- R  D            [Aston University Statistical Software] [transformed data] [2011-11-07 12:17:23] [6102429ddf131d0170df568d6484d649] [Current]
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Dataseries X:
70.80
69.60
69.87
67.47
67.60
67.13
66.27
66.73
68.07
67.80
64.80
64.60
64.20
64.20
63.67
61.00
59.67
59.67
59.80
60.73
59.40
58.07
57.47
70.73
72.87
66.00
66.07
66.00
66.27
64.00
63.67
63.73
63.33
63.53
63.53
62.87
59.53
62.80
60.80
59.80
56.67
57.67
58.40
55.47
56.20
71.53
68.67
65.67
66.73
67.33
66.73
66.87
65.80
64.73
65.47
63.60
64.07
64.67
63.73
62.53
61.93
62.67
62.80
61.33
62.60
59.13
61.27
59.47
57.87
59.73
61.40
58.80
58.33
57.47
57.13
55.00
51.53
72.73
73.00
70.80
70.07
71.67
71.07
70.67
70.73
70.73
68.60
69.60
66.47
67.07
68.67
66.93
65.93
68.87
66.53
65.80
66.60
66.00
65.00
66.80
65.60
66.00
65.67
64.67
65.07
64.67
65.07
65.20
64.87
63.47
62.60
64.07
63.73
64.67
61.60
61.60
60.47
61.27
63.00
61.47
60.87
61.67
62.87
62.40
59.73
60.13
58.80
59.60
58.93
60.13
58.20
58.27
58.27
55.07
53.87
52.33
47.20
37.93
72.73
70.07
70.67
72.07
68.80
68.80
67.47
66.73
66.53
66.00
67.60
66.00
66.00
66.53
65.80
64.27
64.67
64.60
64.13
65.47
62.93
63.53
62.13
63.87
64.67
63.33
63.13
62.80
62.40
62.40
62.60
61.47
62.20
63.00
61.80
59.73
60.33
60.13
59.53
59.00
55.93
41.87
36.33
71.67
71.47
70.47
69.53
70.73
69.93
68.73
67.53
70.94
70.60
68.60
68.27
67.60
65.60
68.94
67.27
64.94
67.94
64.94
65.94
66.60
64.60
63.94
64.60
63.60
62.94
62.94
63.60
61.60
63.60
60.27
57.94
62.94
53.60
75.60
74.60
73.27
70.27
70.27
67.60
69.60
68.60
68.27
65.94
67.94
68.94
65.94
66.27
65.60
67.94
65.60
66.60
63.94
63.60
65.94
62.94
62.27
60.94
63.94
62.27
61.27
61.94
62.94
59.60
60.27
59.94
57.60
57.94
55.27
51.27
8.60
74.27
72.94
71.94
70.27
69.94
69.94
67.94
67.94
68.27
66.27
66.27
65.94
65.94
67.60
65.27
66.60
64.60
64.60
64.94
61.94
62.60
62.27
61.60
60.94
62.27
59.60
59.94
58.94
60.60
59.27
59.27
58.94
58.60
53.27
52.60
53.94
47.94
10.60
7.27
70.94
71.60
69.60
70.27
69.94
70.94
69.94
69.27
68.94
70.94
67.94
67.60
67.94
67.60
67.94
67.27
65.94
65.60
64.94
64.27
65.94
65.60
62.94
64.60
63.94
63.60
63.94
65.27
65.27
64.27
64.27
62.94
62.60
62.27
60.60
58.94
59.60
58.27
56.94
48.27
69.94
69.27
70.60
68.27
66.60
65.60
67.27
67.94
66.27
65.60
68.94
66.94
68.27
65.27
64.94
63.94
64.60
60.94
60.94
58.60
55.27
55.27
51.27
72.27
69.27
68.27
68.27
68.27
66.27
65.27
64.27
64.27
66.27
64.27
63.27
65.27
64.27
64.27
62.27
62.27
64.27
62.27
63.27
60.27
58.27
55.27
51.27




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net
R Engine error message
Error in dimnames(data) <- dimnames : 
  length of 'dimnames' [1] not equal to array extent
Calls: array
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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
R Engine error message & 
Error in dimnames(data) <- dimnames : 
  length of 'dimnames' [1] not equal to array extent
Calls: array
Execution halted
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=140096&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[ROW][C]R Engine error message[/C][C]
Error in dimnames(data) <- dimnames : 
  length of 'dimnames' [1] not equal to array extent
Calls: array
Execution halted
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=140096&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=140096&T=0

As an alternative you can also use a 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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net
R Engine error message
Error in dimnames(data) <- dimnames : 
  length of 'dimnames' [1] not equal to array extent
Calls: array
Execution halted



Parameters (Session):
par1 = two.sided ; par2 = 1 ; par3 = 2 ;
Parameters (R input):
par1 = two.sided ; par2 = 1 ; par3 = 2 ;
R code (references can be found in the software module):
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
x <- t(y)
load(file='createtable')
a<-table.start()
a <- table.row.start(a)
a <- table.element(a,'Kolmogorov_Smirnov Test',3,TRUE)
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'',1,TRUE)
a <- table.element(a,'Statistic',1,TRUE)
a <- table.element(a,'P-value',1,TRUE)
a <- table.row.end(a)
D <- ks.test(x[,par2],x[,par3],alternative=par1)
a<-table.row.start(a)
a<-table.element(a,'K-S Test',1,TRUE)
a<-table.element(a,signif(D$statistic[[1]], digits=5) )
a<-table.element(a,signif(D$p.value, digits =5) )
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,'Means of Data Distributions ',3,TRUE)
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'Mean 1',1,TRUE)
a <- table.element(a,'Mean 2',1,TRUE)
a <- table.element(a,'Difference',1,TRUE)
a <- table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,signif(mean(x[,par2]), digits=5),1)
a<-table.element(a,signif(mean(x[,par3]), digits=5),1)
a<-table.element(a,signif( (mean(x[,par2])- mean(x[,par3])), digits=5),1)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')