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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_Reddy-Moores K-S Test.wasp
Title produced by softwareKolmogorov-Smirnov Test
Date of computationWed, 02 Jun 2010 10:03:52 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Jun/02/t1275473045uyldsbkc4ctf6qu.htm/, Retrieved Fri, 26 Apr 2024 05:11:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=77127, Retrieved Fri, 26 Apr 2024 05:11:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact137

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Two-Way ANOVA] [two-way anova wit...] [2010-05-26 17:02:24] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R PD  [Two-Way ANOVA] [ANOVA with good l...] [2010-05-28 23:09:47] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R       [Variability] [ANOVA with better...] [2010-05-29 09:47:12] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R         [Variability] [ANOVA with better...] [2010-05-29 09:54:40] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD          [Kolmogorov-Smirnov Test] [] [2010-06-02 10:03:52] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- RMPD            [T-Tests] [] [2010-06-02 10:14:10] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.1	-1.86111
3.5	1.53889
-1.0	0.23889
0.1	-1.26111
0.4	3.53889
3.7	4.73889
-0.4	4.33889
5.9	-3.66111
1.4	-0.86111
0.9	4.53889
0.6	1.33889
-1.0	2.23889
1.6	-0.46111
0.5	-1.06111
-2.7	2.13889
1.3	-0.86111
5.0	5.93889
3.4	3.73889

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server184.73.214.54 @ 184.73.214.54

\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 & 184.73.214.54 @ 184.73.214.54 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77127&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]184.73.214.54 @ 184.73.214.54[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77127&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77127&T=0

As an alternative you can also use a QR Code:  
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 Server184.73.214.54 @ 184.73.214.54






Kolmogorov_Smirnov Test
StatisticP-value
K-S Test0.222220.76576

\begin{tabular}{lllllllll}
\hline
Kolmogorov_Smirnov Test \tabularnewline
 & Statistic & P-value \tabularnewline
K-S Test & 0.22222 & 0.76576 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77127&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]0.22222[/C][C]0.76576[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77127&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77127&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Kolmogorov_Smirnov Test
StatisticP-value
K-S Test0.222220.76576






Means of Data Distributions
Mean 1Mean 2Difference
1.351.350

\begin{tabular}{lllllllll}
\hline
Means of Data Distributions  \tabularnewline
Mean 1 & Mean 2 & Difference \tabularnewline
1.35 & 1.35 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77127&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]1.35[/C][C]1.35[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77127&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77127&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Means of Data Distributions
Mean 1Mean 2Difference
1.351.350


Figures (Output of Computation)

Input Parameters & R Code

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