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 10:44:14 -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/t1382885074rxz53add4c9i59k.htm/, Retrieved Thu, 31 Oct 2024 23:07:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=219893, Retrieved Thu, 31 Oct 2024 23:07:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Wilcoxon-Mann-Whitney Test] [Reddy-Moores Plac...] [2013-10-22 12:31:16] [34296d8f7657c52ed60d5bff9133afec]
- R     [Wilcoxon-Mann-Whitney Test] [Reproduction of t...] [2013-10-27 14:09:24] [64794cad48da21957e234ca084a4fbf2]
- RM D      [Kolmogorov-Smirnov Test] [Computation of th...] [2013-10-27 14:44:14] [7c6834631c9e0baee980b5bc2412b499] [Current]
Feedback Forum

Post a new message
Dataseries X:
70.8	70.9483
69.6	70.6083
69.87	68.6083
67.47	68.2783
67.6	67.6083
67.13	65.6083
66.27	68.9483
66.73	67.2783
68.07	64.9483
67.8	67.9483
64.8	64.9483
64.6	65.9483
64.2	66.6083
64.2	64.6083
63.67	63.9483
61	64.6083
59.67	63.6083
59.67	62.9483
59.8	62.9483
60.73	63.6083
59.4	61.6083
58.07	63.6083
57.47	60.2783
70.73	57.9483
72.87	62.9483
66	53.6083
66.07	75.6083
66	74.6083
66.27	73.2783
64	70.2783
63.67	70.2783
63.73	67.6083
63.33	69.6083
63.53	68.6083
63.53	68.2783
62.87	65.9483
59.53	67.9483
62.8	68.9483
60.8	65.9483
59.8	66.2783
56.67	65.6083
57.67	67.9483
58.4	65.6083
55.47	66.6083
56.2	63.9483
71.53	63.6083
68.67	65.9483
65.67	62.9483
66.73	62.2783
67.33	60.9483
66.73	63.9483
66.87	62.2783
65.8	61.2783
64.73	61.9483
65.47	62.9483
63.6	59.6083
64.07	60.2783
64.67	59.9483
63.73	57.6083
62.53	57.9483
61.93	55.2783
62.67	51.2783
62.8	8.6083
61.33	74.2783
62.6	72.9483
59.13	71.9483
61.27	70.2783
59.47	69.9483
57.87	69.9483
59.73	67.9483
61.4	67.9483
58.8	68.2783
58.33	66.2783
57.47	66.2783
57.13	65.9483
55	65.9483
51.53	67.6083
72.73	65.2783
73	66.6083
70.8	64.6083
70.07	64.6083
71.67	64.9483
71.07	61.9483
70.67	62.6083
70.73	62.2783
70.73	61.6083
68.6	60.9483
69.6	62.2783
66.47	59.6083
67.07	59.9483
68.67	58.9483
66.93	60.6083
65.93	59.2783
68.87	59.2783
66.53	58.9483
65.8	58.6083
66.6	53.2783
66	52.6083
65	53.9483
66.8	47.9483
65.6	10.6083
66	7.2783
65.67	70.9483
64.67	71.6083
65.07	69.6083
64.67	70.2783
65.07	69.9483
65.2	70.9483
64.87	69.9483
63.47	69.2783
62.6	68.9483
64.07	70.9483
63.73	67.9483
64.67	67.6083
61.6	67.9483
61.6	67.6083
60.47	67.9483
61.27	67.2783
63	65.9483
61.47	65.6083
60.87	64.9483
61.67	64.2783
62.87	65.9483
62.4	65.6083
59.73	62.9483
60.13	64.6083
58.8	63.9483
59.6	63.6083
58.93	63.9483
60.13	65.2783
58.2	65.2783
58.27	64.2783
58.27	64.2783
55.07	62.9483
53.87	62.6083
52.33	62.2783
47.2	60.6083
37.93	58.9483
72.73	59.6083
70.07	58.2783
70.67	56.9483
72.07	48.2783
68.8	69.9483
68.8	69.2783
67.47	70.6083
66.73	68.2783
66.53	66.6083
66	65.6083
67.6	67.2783
66	67.9483
66	66.2783
66.53	65.6083
65.8	68.9483
64.27	66.9483
64.67	68.2783
64.6	65.2783
64.13	64.9483
65.47	63.9483
62.93	64.6083
63.53	60.9483
62.13	60.9483
63.87	58.6083
64.67	55.2783
63.33	55.2783
63.13	51.2783
62.8	72.2783
62.4	69.2783
62.4	68.2783
62.6	68.2783
61.47	68.2783
62.2	66.2783
63	65.2783
61.8	64.2783
59.73	64.2783
60.33	66.2783
60.13	64.2783
59.53	63.2783
59	65.2783
55.93	64.2783
41.87	64.2783
36.33	62.2783
71.67	62.2783
71.47	64.2783
70.47	62.2783
69.53	63.2783
70.73	60.2783
69.93	58.2783
68.73	55.2783
67.53	51.2783




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=219893&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=219893&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219893&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 Test0.11640.15441

\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=219893&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=219893&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219893&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 Test0.11640.15441







Means of Data Distributions
Mean 1Mean 2Difference
63.5863.58-4.6032e-05

\begin{tabular}{lllllllll}
\hline
Means of Data Distributions  \tabularnewline
Mean 1 & Mean 2 & Difference \tabularnewline
63.58 & 63.58 & -4.6032e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219893&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]63.58[/C][C]-4.6032e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219893&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219893&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
63.5863.58-4.6032e-05



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')