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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 computationThu, 21 Jul 2016 19:08:45 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Jul/21/t1469124740ikvm2hzid8wsfqk.htm/, Retrieved Wed, 08 May 2024 03:18:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=295918, Retrieved Wed, 08 May 2024 03:18:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsfat/$
Estimated Impact132

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] [fat/$] [2016-07-21 18:08:45] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
33.5
29.7
28.9
35.9
24.7
21.3
26.3
30.7
21.7
26.2
30.5
22.1
28.9
29.3
32.7
30.9
31.3
31.6
34.9
28.2
29.6
23.3
30.7
27.6
35.5
30.2
26.4
30.2
27.7
27.4
26.9
28.4
27.0
29.7
32.2
32.6
33.0
27.9
30.2
27.0
32.1
29.8
31.2
31.9
25.7
24.8
28.5
27.3
35.7
31.2
29.5
Dataseries Y:
Download CSV
Histogram 
$42.278
$67.629
$49.254
$44.922
$60.487
$60.940
$70.161
$57.522
$68.277
$46.140
$49.555
$71.223
$53.438
$54.916
$48.060
$57.810
$53.444
$42.786
$42.406
$51.710
$76.165
$63.151
$52.005
$67.244
$35.521
$56.630
$51.102
$56.870
$49.875
$73.397
$65.243
$46.686
$54.310
$46.784
$60.730
$49.644
$47.199
$58.875
$55.173
$58.633
$44.929
$53.053
$43.716
$53.875
$63.383
$60.708
$66.155
$59.068
$39.552
$58.080
$55.690

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295918&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295918&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295918&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'Sir Maurice George Kendall' @ kendall.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')