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Author

*The author of this computation has been verified*

R Software Module

Ian.Hollidayrwasp_Reddy-Moores K-S Test.wasp

Title produced by software

Aston University Statistical Software

Date of computation

Fri, 06 Nov 2009 09:34:43 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/06/t12575253838slulu5d27it7g6.htm/, Retrieved Sat, 27 Apr 2024 21:14:38 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54336, Retrieved Sat, 27 Apr 2024 21:14:38 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

141

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 D    [Aston University Statistical Software] [compendium5] [2009-11-06 16:34:43] [a50f0a9eed85152cd4947041c5065d1d] [Current]

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Dataseries X:

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Histogram

Boxplots

70.8	70.94853
69.6	70.60853
69.87	68.60853
67.47	68.27853
67.6	67.60853
67.13	65.60853
66.27	68.94853
66.73	67.27853
68.07	64.94853
67.8	67.94853
64.8	64.94853
64.6	65.94853
64.2	66.60853
64.2	64.60853
63.67	63.94853
61	64.60853
59.67	63.60853
59.67	62.94853
59.8	62.94853
60.73	63.60853
59.4	61.60853
58.07	63.60853
57.47	60.27853
70.73	57.94853
72.87	62.94853
66	53.60853
66.07	75.60853
66	74.60853
66.27	73.27853
64	70.27853
63.67	70.27853
63.73	67.60853
63.33	69.60853
63.53	68.60853
63.53	68.27853
62.87	65.94853
59.53	67.94853
62.8	68.94853
60.8	65.94853
59.8	66.27853
56.67	65.60853
57.67	67.94853
58.4	65.60853
55.47	66.60853
56.2	63.94853
71.53	63.60853
68.67	65.94853
65.67	62.94853
66.73	62.27853
67.33	60.94853
66.73	63.94853
66.87	62.27853
65.8	61.27853
64.73	61.94853
65.47	62.94853
63.6	59.60853
64.07	60.27853
64.67	59.94853
63.73	57.60853
62.53	57.94853
61.93	55.27853
62.67	51.27853
62.8	8.60853
61.33	74.27853
62.6	72.94853
59.13	71.94853
61.27	70.27853
59.47	69.94853
57.87	69.94853
59.73	67.94853
61.4	67.94853
58.8	68.27853
58.33	66.27853
57.47	66.27853
57.13	65.94853
55	65.94853
51.53	67.60853
72.73	65.27853
73	66.60853
70.8	64.60853
70.07	64.60853
71.67	64.94853
71.07	61.94853
70.67	62.60853
70.73	62.27853
70.73	61.60853
68.6	60.94853
69.6	62.27853
66.47	59.60853
67.07	59.94853
68.67	58.94853
66.93	60.60853
65.93	59.27853
68.87	59.27853
66.53	58.94853
65.8	58.60853
66.6	53.27853
66	52.60853
65	53.94853
66.8	47.94853
65.6	10.60853
66	7.27853
65.67	70.94853
64.67	71.60853
65.07	69.60853
64.67	70.27853
65.07	69.94853
65.2	70.94853
64.87	69.94853
63.47	69.27853
62.6	68.94853
64.07	70.94853
63.73	67.94853
64.67	67.60853
61.6	67.94853
61.6	67.60853
60.47	67.94853
61.27	67.27853
63	65.94853
61.47	65.60853
60.87	64.94853
61.67	64.27853
62.87	65.94853
62.4	65.60853
59.73	62.94853
60.13	64.60853
58.8	63.94853
59.6	63.60853
58.93	63.94853
60.13	65.27853
58.2	65.27853
58.27	64.27853
58.27	64.27853
55.07	62.94853
53.87	62.60853
52.33	62.27853
47.2	60.60853
37.93	58.94853
72.73	59.60853
70.07	58.27853
70.67	56.94853
72.07	48.27853
68.8	69.94853
68.8	69.27853
67.47	70.60853
66.73	68.27853
66.53	66.60853
66	65.60853
67.6	67.27853
66	67.94853
66	66.27853
66.53	65.60853
65.8	68.94853
64.27	66.94853
64.67	68.27853
64.6	65.27853
64.13	64.94853
65.47	63.94853
62.93	64.60853
63.53	60.94853
62.13	60.94853
63.87	58.60853
64.67	55.27853
63.33	55.27853
63.13	51.27853
62.8	72.27853
62.4	69.27853
62.4	68.27853
62.6	68.27853
61.47	68.27853
62.2	66.27853
63	65.27853
61.8	64.27853
59.73	64.27853
60.33	66.27853
60.13	64.27853
59.53	63.27853
59	65.27853
55.93	64.27853
41.87	64.27853
36.33	62.27853
71.67	62.27853
71.47	64.27853
70.47	62.27853
69.53	63.27853
70.73	60.27853
69.93	58.27853
68.73	55.27853
67.53	51.27853

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54336&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54336&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54336&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Kolmogorov_Smirnov Test
	Statistic	P-value
K-S Test	0.1164	0.15441

\begin{tabular}{lllllllll}
\hline
Kolmogorov_Smirnov Test \tabularnewline
 & Statistic & P-value \tabularnewline
K-S Test & 0.1164 & 0.15441 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54336&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]0.1164[/C][C]0.15441[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54336&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54336&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
	Statistic	P-value
K-S Test	0.1164	0.15441

Means of Data Distributions
Mean 1	Mean 2	Difference
63.58011	63.58038	-0.00028

\begin{tabular}{lllllllll}
\hline
Means of Data Distributions  \tabularnewline
Mean 1 & Mean 2 & Difference \tabularnewline
63.58011 & 63.58038 & -0.00028 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54336&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]63.58011[/C][C]63.58038[/C][C]-0.00028[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54336&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54336&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 1	Mean 2	Difference
63.58011	63.58038	-0.00028

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,round(D$statistic[[1]], digits=5) )
a<-table.element(a,round(D$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,round(mean(x[,par2]), digits=5),1,TRUE)
a<-table.element(a,round(mean(x[,par3]), digits=5),1,TRUE)
a<-table.element(a,round( (mean(x[,par2])- mean(x[,par3])), digits=5),1,TRUE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')

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Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code