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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_spearman.wasp
Title produced by softwareSpearman Rank Correlation
Date of computationTue, 17 Apr 2012 21:12:33 -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/2012/Apr/17/t1334711601sp1j7ykd9hdktwc.htm/, Retrieved Sat, 27 Apr 2024 22:40:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=164420, Retrieved Sat, 27 Apr 2024 22:40:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact180

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spearman Rank Correlation] [] [2012-04-18 01:12:33] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.017412729	1	0	0.041917293	0	1.917293233	0	0.419172932	0.010282153	2.542567603	0	4.191729323	0.120676692	2.312030075	0.164661654	12.7443609	0.477443609	13.64661654	0.004863755	0.258150829	0.008011489	0.074134358	0.004204897	0.014340967	0.00089631	0.213179752	0.018278432	0.489104359	0.037325002	0.731137284	0	14.83082707	0.022377834	0.400574454	0.018278432	0.350208531	0.117138411	2.706233144	0.103398426	13.73840223	1.590225564	0.460526316	0.001103383	5.639097744	0.000265038	4.586466165	0.001018797	6.879699248	0.001193609	0.937969925	0.001291353	0.477443609	0.00106391	1.191729323
Dataseries Y:
Download CSV
Histogram 
7.28	0.44	4.36	1.29	4.52	0	11.89	0.65	3.85	0	10.21	0	2.69	0.43	3.78	0	0.45	0	4.42	0.37	10.9	1.32	7.81	1.89	5.11	1.22	0.83	2.16	5.32	0	6.47	0	2.98	0.33	2.69	0.88	5.38	0	4.55	0.28	0.67	1.64	6.59	0.56	7.44	0.21	8.55	0.44	3.29	1.95	1.95	0.57	4.88	0.74

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164420&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164420&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164420&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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
k <- cor.test(x,y,method='spearman')
bitmap(file='test1.png')
plot(x,y,main='Scatterplot',xlab=xlab,ylab=ylab)
grid()
dev.off()
bitmap(file='test2.png')
plot(rank(x),rank(y),main='Scatterplot of Ranks',xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Spearman Rank Correlation',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'rho',header=TRUE)
a<-table.element(a,k$estimate)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'2-sided p-value',header=TRUE)
a<-table.element(a,k$p.value)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'S',header=TRUE)
a<-table.element(a,k$statistic)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')