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Author's title

Author*Unverified author*
R Software ModuleIan.Hollidayrwasp_AUSS.wasp
Title produced by softwareAston University Statistical Software
Date of computationSun, 01 Nov 2009 07:59:17 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/01/t1257087571abmzvel42os6f13.htm/, Retrieved Mon, 06 May 2024 16:05:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=52334, Retrieved Mon, 06 May 2024 16:05:31 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Aston University Statistical Software] [] [2009-11-01 14:59:17] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
4.8	5	4.4	4.6	4.8	4.6
5.4	5.4	4.2	5.6	4.2	4
6	5.6	5.2	4	4.6	4.8
6	5.6	5.2	5	4.8	4
4	5.4	4.4	4.4	4.6	5
6	6	5.5	6	6.2	5
4.2	4	4	4	4.4	4
4.2	4.2	4	4.4	4.2	4
4.2	4.6	4	4.6	4	4.4
4	4.2	3.8	4	4.2	4
4.6	4.2	4	4.8	4.4	4
5.67	4.67	5.25	5.33	5.2	5
3.8	3.6	3.6	4.4	3.8	3.8
4.8	5	4.4	5.2	5.2	4.6
4.2	4.6	4	5.2	4.6	4
4	4	4.4	4	4.2	4.6
5.4	5.8	4.33	5.2	5.4	4.67
4.6	5.8	4.6	4.8	4.6	4
4	4	4	4	4.4	4
4.4	5.4	4.4	4.4	5	4.4
5	4.8	5	5.6	4.8	4.8
5.4	5.8	5.2	6	6.2	5.8
5.2	5.4	5.2	4.8	5.2	4.6
4.4	4.8	4.6	4.2	4.6	4.75
4	4.6	4.6	4	4.6	5
3.4	4.6	2.33	2.8	4.2	2.75
4.4	4	4	4.8	4	4
4	4	3.8	4.2	4.6	3.8
4.4	4.8	4	4.8	4.6	4.4
4.4	5	4.6	5.2	5	4.8
4	4	4.75	4.6	4.6	4.25
4.8	5.2	4.4	4.4	5.6	4.4
4	4	4	4	4	4
4	4.4	4	3.6	3.8	4.5
5	5.6	5.2	4.6	5.8	5
4	4.6	3.8	4	4.2	3.5
3.4	2.2	2.5	2.2	3.4	2
4	4	3.2	4	3.8	4.4
5.4	4.6	4.2	5.6	4.8	4.4
4.2	4.2	4	3.6	4.2	4.25
4	4	3.25	4	4	3.25
5.6	5	4.2	5.4	5	4.2
4.8	5	4.75	5	5	4.75
4.4	4.8	4.4	4.4	4.6	4.4
4.6	5	4	4.6	5	4
4	3.8	4.2	3.8	3.8	4.2
5.2	4.6	4	4.25	5	5
4.8	4.2	4.2	4.6	4.8	4.6
4.6	5	4.4	5.2	5	4.4
4	4	4	4	4.2	4
4.2	5.2	4.6	4.2	4.8	4.4
4.6	4.8	4.4	4.2	4.6	4.5
4.4	4.2	4	4.6	5	5.2
5	5	4.8	5.6	5	4.4
5	4.2	2.25	5.4	4	3.25
4	4	4.8	4	4	4.6
3.8	3.2	3.75	3.6	3.2	3.75
5.2	6.2	5.6	4.4	5.2	5
4.2	5.6	4.2	4.6	4.6	3.8
4.4	4.6	4.2	4.4	3.6	4
4.2	5.2	5	4	4.8	5.4
6	6	5.8	5	4.8	5
4.8	4.8	5	4.8	4.8	5
4	4	4	4	4	4.2
4.4	4.4	4.4	4.6	5	4.4
4	4.4	4.4	4	4.4	4
4.8	4.8	4.4	5	5.2	4.6
4.8	4.6	4.4	4.2	4	4.2
5.6	6.4	5.8	4.8	5.6	5.2
6	6	6	6.8	7	6.4
4	4.2	4	4	4.2	4
4.2	4	4	4.2	4	4
5	5.2	5	5	5.2	5
4.4	4.4	4	5	4.2	4
4.2	4.6	4.2	4.6	4.6	4.2
4.6	4.8	4.4	4.8	4.8	4
4.4	4.2	4	5	4.8	4
4	4	4	4.2	4	4
4	4.2	4	4	4.4	4
4	4	4.2	4	4	4
4.2	5	4.6	3.8	4.6	4.2
4	4	4.4	4.6	4.2	4
5	5.6	4.4	4	4	4
4.2	4	4	4.2	3.8	4
5.4	5.8	5	5.6	6	5.2
4	4.4	4.2	4	5	4.2
6	5.4	5	5.6	5.4	4.8
3.8	4.2	4	3.8	4.2	4
5	5.2	4.8	5	5.4	4.8
4.4	4.6	4	5.4	5.6	5
5	5.2	4.6	5	5.2	4.6
4.4	4.4	4	4.4	4.4	4
5	4.2	4.4	4.4	4.4	4.4
4.2	4	4	4	4.2	4
4.6	3.8	3.4	5.4	4	3.8
5	5.6	5.8	2.2	4.2	4.5




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52334&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52334&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52334&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Correlation X-Y
EstimateP-value
Pearson correlation0.7277183931175410
Spearman correlation0.7296815413776523.3866253608372e-17
Kendall correlation0.5919374144163625.99520433297585e-15
Go to Scatterplot Matrix and Boxplots

\begin{tabular}{lllllllll}
\hline
Correlation X-Y \tabularnewline
 & Estimate & P-value \tabularnewline
Pearson correlation & 0.727718393117541 & 0 \tabularnewline
Spearman correlation & 0.729681541377652 & 3.3866253608372e-17 \tabularnewline
Kendall correlation & 0.591937414416362 & 5.99520433297585e-15 \tabularnewline
Go to Scatterplot Matrix and Boxplots \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52334&T=1

[TABLE]
[ROW][C]Correlation X-Y[/C][/ROW]
[ROW][C][/C][C]Estimate[/C][C]P-value[/C][/ROW]
[ROW][C]Pearson correlation[/C][C]0.727718393117541[/C][C]0[/C][/ROW]
[ROW][C]Spearman correlation[/C][C]0.729681541377652[/C][C]3.3866253608372e-17[/C][/ROW]
[ROW][C]Kendall correlation[/C][C]0.591937414416362[/C][C]5.99520433297585e-15[/C][/ROW]
[ROW][C]Go to Scatterplot Matrix and Boxplots[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52334&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52334&T=1

As an alternative you can also use a QR Code:  

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

Correlation X-Y
EstimateP-value
Pearson correlation0.7277183931175410
Spearman correlation0.7296815413776523.3866253608372e-17
Kendall correlation0.5919374144163625.99520433297585e-15
Go to Scatterplot Matrix and Boxplots



Parameters (Session):
par1 = All Correlations ; par2 = 1 ; par3 = 2 ;
Parameters (R input):
par1 = All Correlations ; 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,'Correlation X-Y',3,TRUE)
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'',1,TRUE)
a <- table.element(a,'Estimate',1,TRUE)
a <- table.element(a,'P-value',1,TRUE)
a <- table.row.end(a)
if ((par1 == 'Pearson Correlation') | (par1 == 'All Correlations')) {
(r <- cor.test(x[,par2],x[,par3],method='pearson'))
a<-table.row.start(a)
a<-table.element(a,'Pearson correlation',1,TRUE)
a<-table.element(a,r$estimate[[1]])
a<-table.element(a,r$p.value)
a<-table.row.end(a)
}
if ((par1 == 'Spearman Correlation') | (par1 == 'All Correlations')) {
(r <- cor.test(x[,par2],x[,par3],method='spearman'))
a<-table.row.start(a)
a<-table.element(a,'Spearman correlation',1,TRUE)
a<-table.element(a,r$estimate[[1]])
a<-table.element(a,r$p.value)
a<-table.row.end(a)
}
if ((par1 == 'Kendall Correlation') | (par1 == 'All Correlations')) {
(r <- cor.test(x[,par2],x[,par3],method='kendall'))
a<-table.row.start(a)
a<-table.element(a,'Kendall correlation',1,TRUE)
a<-table.element(a,r$estimate[[1]])
a<-table.element(a,r$p.value)
a<-table.row.end(a)
}
bitmap(file='test1.png')
plot(x[,par2],x[,par3],main='Scatterplot',xlab=colnames(x)[par2],ylab=colnames(x)[par3])
dev.off()
a <- table.row.start(a)
a <- table.element(a,hyperlink('https://automated.biganalytics.eu/Ian.Holliday/rwasp_CARE Data Boxplot.wasp','Go to Scatterplot Matrix and Boxplots','click here to compute the Scatter Plot Matrix and Boxplots about the data set.'),3)
a <- table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')