Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_spearman.wasp
Title produced by softwareSpearman Rank Correlation
Date of computationTue, 13 Apr 2021 21:09:56 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2021/Apr/13/t1618341119od0qag0d6lf1dy3.htm/, Retrieved Thu, 02 May 2024 01:35:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319401, Retrieved Thu, 02 May 2024 01:35:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Spearman Rank Correlation] [Digital customer ...] [2021-04-13 19:09:56] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
Are you aware of Digital Customer Onboarding?
78
78
78
78
78
89
89
89
89
89
89
78
89
89
89
89
89
89
89
89
89
77
77
77
77
89
89
89
89
89
89
89
89
89
78
78
78
78
78
78
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
78
77
77
78
77
77
77
89
89
89
89
77
89
89
89
89
89
78
78
78
89
89
78
89
89
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89
89
89
89
89
89
89
89
89
89
89
89
77
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89
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89
89
77
77
77
77
89
89
89
89
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89
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89
89
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89
89
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89
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89
78
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78
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78
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89
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77
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89
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78
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77
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77
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89
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89
77
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78
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89
Dataseries Y:
What do you think are advantages of digital onboarding for the customers?
73
32
67
82
32
73
32
32
67
67
73
82
73
32
82
67
67
73
67
82
67
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73
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73
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73
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73
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73
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32
73
32
82
73
67
82
67
73
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82
67
73
32
82
73
82
71
73
67
82
67
67
82
67
67
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73
67
82
67
73
67
82
67
67
82
73
67
73
67
82
67
67
32
73
32
82
67
82
67
67
82
32
73
32
82
73
67
73
67
82
73
67
82
67
82
73
67
82
67
73
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82
67
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73
67
82
67
67
32
67
73
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73
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82
67
73
67
82
67
82
67
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67
82
67
73
32
67
73
82
73
67
82
67
67
65
73
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82
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73
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82
67
73
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82




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319401&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319401&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319401&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 Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center



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')