Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_Reddy-Moores K-S Test.wasp
Title produced by softwareKolmogorov-Smirnov Test
Date of computationSun, 27 Oct 2013 09:00:19 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/27/t1382878841l6r02ido8017j2z.htm/, Retrieved Mon, 29 Apr 2024 11:01:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=219838, Retrieved Mon, 29 Apr 2024 11:01:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact71
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Wilcoxon-Mann-Whitney Test] [WILCOXON ] [2013-10-27 11:53:29] [64170401b557979db6e7469620652d25]
- RMP   [Boxplot and Trimmed Means] [a] [2013-10-27 12:11:31] [64170401b557979db6e7469620652d25]
- RMPD      [Kolmogorov-Smirnov Test] [no difference] [2013-10-27 13:00:19] [0bd2f83192fbb218ef9d5de6049875e0] [Current]
Feedback Forum

Post a new message
Dataseries X:
60.2783	66.67
57.9450	66.33
62.9450	64.33
53.6116	64.00
75.6116	63.33
74.6116	61.33
73.2783	64.67
70.2783	63.00
70.2783	60.67
67.6116	63.67
69.6116	60.67
68.6116	61.67
68.2783	62.33
65.9450	60.33
67.9450	59.67
68.9450	60.33
65.9450	59.33
66.2783	58.67
65.6116	58.67
67.9450	59.33
65.6116	57.33
66.6116	59.33
63.9450	56.00
63.6116	53.67
65.9450	58.67
62.9450	49.33
62.2783	71.33
60.9450	70.33
63.9450	69.00
62.2783	66.00
61.2783	66.00
61.9450	63.33
62.9450	65.33
59.6116	64.33
60.2783	64.00
59.9450	61.67
57.6116	63.67
57.9450	64.67
55.2783	61.67
51.2783	62.00
8.6116	61.33
74.2783	63.67
72.9450	61.33
71.9450	62.33
70.2783	59.67
69.9450	59.33
69.9450	61.67
67.9450	58.67
67.9450	58.00
68.2783	56.67
66.2783	59.67
66.2783	58.00
65.9450	57.00
65.9450	57.67
67.6116	58.67
65.2783	55.33
66.6116	56.00
64.6116	55.67
64.6116	53.33
64.9450	53.67
61.9450	51.00
62.6116	47.00
62.2783	4.33
61.6116	70.00
60.9450	68.67
62.2783	67.67
59.6116	66.00
59.9450	65.67
58.9450	65.67
60.6116	63.67
59.2783	63.67
59.2783	64.00
58.9450	62.00
58.6116	62.00
53.2783	61.67
52.6116	61.67
53.9450	63.33
47.9450	61.00
10.6116	62.33
7.2783	60.33
70.9450	60.33
71.6116	60.67
69.6116	57.67
70.2783	58.33
69.9450	58.00
70.9450	57.33
69.9450	56.67
69.2783	58.00
68.9450	55.33
70.9450	55.67
67.9450	54.67
67.6116	56.33
67.9450	55.00
67.6116	55.00
67.9450	54.67
67.2783	54.33
65.9450	49.00
65.6116	48.33
64.9450	49.67
64.2783	43.67
65.9450	6.33
65.6116	3.00
62.9450	66.67
64.6116	67.33
63.9450	65.33
63.6116	66.00
63.9450	65.67
65.2783	66.67
65.2783	65.67
64.2783	65.00
64.2783	64.67
62.9450	66.67
62.6116	63.67
62.2783	63.33
60.6116	63.67
58.9450	63.33
59.6116	63.67
58.2783	63.00
56.9450	61.67
48.2783	61.33
69.9450	60.67
69.2783	60.00
70.6116	61.67
68.2783	61.33
66.6116	58.67
65.6116	60.33
67.2783	59.67
67.9450	59.33
66.2783	59.67
65.6116	61.00
68.9450	61.00
66.9450	60.00
68.2783	60.00
65.2783	58.67
64.9450	58.33
63.9450	58.00
64.6116	56.33
60.9450	54.67
60.9450	55.33
58.6116	54.00
55.2783	52.67
55.2783	44.00
51.2783	65.67
72.2783	65.00
69.2783	66.33
68.2783	64.00
68.2783	62.33
68.2783	61.33
66.2783	63.00
65.2783	63.67
64.2783	62.00
64.2783	61.33
66.2783	64.67
64.2783	62.67
63.2783	64.00
65.2783	61.00
64.2783	60.67
64.2783	59.67
62.2783	60.33
62.2783	56.67
64.2783	56.67
62.2783	54.33
63.2783	51.00
60.2783	51.00
58.2783	47.00
55.2783	68.00
51.2783	65.00
4.2783	64.00
4.2783	64.00
4.2783	64.00
4.2783	62.00
4.2783	61.00
4.2783	60.00
4.2783	60.00
4.2783	62.00
4.2783	60.00
4.2783	59.00
4.2783	61.00
4.2783	60.00
4.2783	60.00
4.2783	58.00
4.2783	58.00
4.2783	60.00
4.2783	58.00
4.2783	59.00
4.2783	56.00
4.2783	54.00
4.2783	51.00
4.2783	47.00




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219838&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219838&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219838&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 time1 seconds
R Server'George Udny Yule' @ yule.wessa.net







Kolmogorov_Smirnov Test
StatisticP-value
K-S Test0.328042.9382e-09

\begin{tabular}{lllllllll}
\hline
Kolmogorov_Smirnov Test \tabularnewline
 & Statistic & P-value \tabularnewline
K-S Test & 0.32804 & 2.9382e-09 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219838&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]0.32804[/C][C]2.9382e-09[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219838&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219838&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 Test0.328042.9382e-09







Means of Data Distributions
Mean 1Mean 2Difference
56.40759.302-2.8948

\begin{tabular}{lllllllll}
\hline
Means of Data Distributions  \tabularnewline
Mean 1 & Mean 2 & Difference \tabularnewline
56.407 & 59.302 & -2.8948 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219838&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]56.407[/C][C]59.302[/C][C]-2.8948[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219838&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219838&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
56.40759.302-2.8948



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):
par3 <- '2'
par2 <- '1'
par1 <- 'two.sided'
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')