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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 07:46:31 -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/t1320670031ehil4rwz5c4qvbb.htm/, Retrieved Thu, 31 Oct 2024 23:34:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=140111, Retrieved Thu, 31 Oct 2024 23:34:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174
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 12:46:31] [6102429ddf131d0170df568d6484d649] [Current]
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Dataseries X:
70.80	70.94
69.60	70.60
69.87	68.60
67.47	68.27
67.60	67.60
67.13	65.60
66.27	68.94
66.73	67.27
68.07	64.94
67.80	67.94
64.80	64.94
64.60	65.94
64.20	66.60
64.20	64.60
63.67	63.94
61.00	64.60
59.67	63.60
59.67	62.94
59.80	62.94
60.73	63.60
59.40	61.60
58.07	63.60
57.47	60.27
70.73	57.94
72.87	62.94
66.00	53.60
66.07	75.60
66.00	74.60
66.27	73.27
64.00	70.27
63.67	70.27
63.73	67.60
63.33	69.60
63.53	68.60
63.53	68.27
62.87	65.94
59.53	67.94
62.80	68.94
60.80	65.94
59.80	66.27
56.67	65.60
57.67	67.94
58.40	65.60
55.47	66.60
56.20	63.94
71.53	63.60
68.67	65.94
65.67	62.94
66.73	62.27
67.33	60.94
66.73	63.94
66.87	62.27
65.80	61.27
64.73	61.94
65.47	62.94
63.60	59.60
64.07	60.27
64.67	59.94
63.73	57.60
62.53	57.94
61.93	55.27
62.67	51.27
62.80	8.60
61.33	74.27
62.60	72.94
59.13	71.94
61.27	70.27
59.47	69.94
57.87	69.94
59.73	67.94
61.40	67.94
58.80	68.27
58.33	66.27
57.47	66.27
57.13	65.94
55.00	65.94
51.53	67.60
72.73	65.27
73.00	66.60
70.80	64.60
70.07	64.60
71.67	64.94
71.07	61.94
70.67	62.60
70.73	62.27
70.73	61.60
68.60	60.94
69.60	62.27
66.47	59.60
67.07	59.94
68.67	58.94
66.93	60.60
65.93	59.27
68.87	59.27
66.53	58.94
65.80	58.60
66.60	53.27
66.00	52.60
65.00	53.94
66.80	47.94
65.60	10.60
66.00	7.27
65.67	70.94
64.67	71.60
65.07	69.60
64.67	70.27
65.07	69.94
65.20	70.94
64.87	69.94
63.47	69.27
62.60	68.94
64.07	70.94
63.73	67.94
64.67	67.60
61.60	67.94
61.60	67.60
60.47	67.94
61.27	67.27
63.00	65.94
61.47	65.60
60.87	64.94
61.67	64.27
62.87	65.94
62.40	65.60
59.73	62.94
60.13	64.60
58.80	63.94
59.60	63.60
58.93	63.94
60.13	65.27
58.20	65.27
58.27	64.27
58.27	64.27
55.07	62.94
53.87	62.60
52.33	62.27
47.20	60.60
37.93	58.94
72.73	59.60
70.07	58.27
70.67	56.94
72.07	48.27
68.80	69.94
68.80	69.27
67.47	70.60
66.73	68.27
66.53	66.60
66.00	65.60
67.60	67.27
66.00	67.94
66.00	66.27
66.53	65.60
65.80	68.94
64.27	66.94
64.67	68.27
64.60	65.27
64.13	64.94
65.47	63.94
62.93	64.60
63.53	60.94
62.13	60.94
63.87	58.60
64.67	55.27
63.33	55.27
63.13	51.27
62.80	72.27
62.40	69.27
62.40	68.27
62.60	68.27
61.47	68.27
62.20	66.27
63.00	65.27
61.80	64.27
59.73	64.27
60.33	66.27
60.13	64.27
59.53	63.27
59.00	65.27
55.93	64.27
41.87	64.27
36.33	62.27
71.67	62.27
71.47	64.27
70.47	62.27
69.53	63.27
70.73	60.27
69.93	58.27
68.73	55.27
67.53	51.27




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=140111&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=140111&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=140111&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'Gertrude Mary Cox' @ cox.wessa.net







Kolmogorov_Smirnov Test
StatisticP-value
K-S Test0.111110.19377

\begin{tabular}{lllllllll}
\hline
Kolmogorov_Smirnov Test \tabularnewline
 & Statistic & P-value \tabularnewline
K-S Test & 0.11111 & 0.19377 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=140111&T=1

[TABLE]
[ROW][C]Kolmogorov_Smirnov Test[/C][/ROW]
[ROW][C][/C][C]Statistic[/C][C]P-value[/C][/ROW]
[ROW][C]K-S Test[/C][C]0.11111[/C][C]0.19377[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=140111&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=140111&T=1

As an alternative you can also use a QR Code:  

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

Kolmogorov_Smirnov Test
StatisticP-value
K-S Test0.111110.19377







Means of Data Distributions
Mean 1Mean 2Difference
63.5863.5720.008254

\begin{tabular}{lllllllll}
\hline
Means of Data Distributions  \tabularnewline
Mean 1 & Mean 2 & Difference \tabularnewline
63.58 & 63.572 & 0.008254 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=140111&T=2

[TABLE]
[ROW][C]Means of Data Distributions [/C][/ROW]
[ROW][C]Mean 1[/C][C]Mean 2[/C][C]Difference[/C][/ROW]
[ROW][C]63.58[/C][C]63.572[/C][C]0.008254[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=140111&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=140111&T=2

As an alternative you can also use a QR Code:  

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

Means of Data Distributions
Mean 1Mean 2Difference
63.5863.5720.008254



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')