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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_spearman.wasp
Title produced by softwareSpearman Rank Correlation
Date of computationThu, 31 Jan 2019 10:46:47 +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/2019/Jan/31/t1548928011hzn7rvey9bzejoc.htm/, Retrieved Sun, 05 May 2024 15:18:09 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 15:18:09 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0
Dataseries X:
12
14
14
17
19
19
19
19
19
20
21
21
21
21
21
22
23
24
24
24
26
26
27
Dataseries Y:
11
4
4
2
0
0
0
0
0
0
4
0
4
0
0
0
0
4
0
0
0
0
0




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time1 seconds
R ServerBig Analytics Cloud Computing Center







Spearman Rank Correlation
rho-0.423285542595266
2-sided p-value0.0441623330731344
S2880.72993821282

\begin{tabular}{lllllllll}
\hline
Spearman Rank Correlation \tabularnewline
rho & -0.423285542595266 \tabularnewline
2-sided p-value & 0.0441623330731344 \tabularnewline
S & 2880.72993821282 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Spearman Rank Correlation[/C][/ROW]
[ROW][C]rho[/C][C]-0.423285542595266[/C][/ROW]
[ROW][C]2-sided p-value[/C][C]0.0441623330731344[/C][/ROW]
[ROW][C]S[/C][C]2880.72993821282[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

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

As an alternative you can also use a QR Code:  

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

Spearman Rank Correlation
rho-0.423285542595266
2-sided p-value0.0441623330731344
S2880.72993821282



Parameters (Session):
par1 = 500121222pearson11111111212120000FALSEFALSE0two.sidedtwo.sided20011two.sided0.010.0250.02520031111111111two.sidedtwo.sided0.850.0251Default124additive1Default11pearson11111111111pearson11110.025200Default1111additive12121212Defaultpearson0 ; par2 = 122111Do not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDoubleTriple11111110.970.975220.850.990.9750.97551Do not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal Dummies0.850.8500.975011201022222Do not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal DummiesInclude Seasonal DummiesDo not include Seasonal DummiesDo not include Seasonal Dummies22Do not include Seasonal DummiesDo not include Seasonal Dummies0.97551000012SingleTripleDoubleTriple1no ; par3 = 5Pearson Chi-SquaredTRUE33No Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear Trendadditiveadditive0000000201503Pearson Chi-Squared00.010.050.0502No Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear Trend000.0500000Exact Pearson Chi-Squared by Simulation0.990.990.990.95No Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear TrendNo Linear Trend33No Linear TrendNo Linear Trend0.05000000additiveadditiveadditiveadditive0512 ; par4 = P1 P5 Q1 Q3 P95 P9912TRUE1212121212121111111P0.5 P2.5 Q1 Q3 P97.5 P99.5TRUEP0.5 P2.5 Q1 Q3 P97.5 P99.5TRUE12121212121212012401212two.sided12two.sided1TRUETRUEP0.5 P2.5 Q1 Q3 P97.5 P99.501111121212120 ; par5 = 121212121212121212unpairedunpairedunpairedunpaired11212 ; par6 = 12121212121212333333312121212121212121212112White NoiseWhite Noise000121212121212121212White NoiseWhite Noise ; par7 = 11221110.950.950.950.95 ; par8 = 1021211 ; par9 = 1111110 ; par10 = FALSEFALSEFALSEFALSEFALSE ;
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')