Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationMon, 20 Dec 2010 11:17:27 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/20/t1292843700vzguhknzq7p8p5p.htm/, Retrieved Fri, 03 May 2024 21:50:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112843, Retrieved Fri, 03 May 2024 21:50:25 +0000
QR Codes:

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)
-     [Mean versus Median] [Totale Invoer naa...] [2008-12-07 18:21:05] [299afd6311e4c20059ea2f05c8dd029d]
- RM D  [Variability] [Totale Invoer naa...] [2008-12-07 18:28:38] [299afd6311e4c20059ea2f05c8dd029d]
- RMP     [Stem-and-leaf Plot] [Totale Invoer naa...] [2008-12-07 18:32:41] [299afd6311e4c20059ea2f05c8dd029d]
- RMPD      [Quartiles] [Totale Invoer naa...] [2008-12-07 18:52:56] [299afd6311e4c20059ea2f05c8dd029d]
- RM D        [Harrell-Davis Quantiles] [Totale Invoer naa...] [2008-12-07 19:02:20] [299afd6311e4c20059ea2f05c8dd029d]
- RM D          [Pearson Correlation] [Totale Uitvoer vs...] [2008-12-07 19:10:32] [299afd6311e4c20059ea2f05c8dd029d]
-  MPD              [Pearson Correlation] [] [2010-12-20 11:17:27] [23ca1b0f6f6de1e008a90be3f55e3db8] [Current]
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Dataseries X:
1.3067
1.2894
1.2770
1.2208
1.2565
1.3406
1.3569
1.3686
1.4272
1.4614
1.4914
1.4816
1.4562
1.4268
1.4088
1.4016
1.3650
1.3190
1.3050
1.2785
1.3239
1.3449
1.2732
1.3322
1.4369
1.4975
1.5770
1.5553
1.5557
1.5750
1.5527
1.4748
1.4718
1.4570
1.4684
1.4227
1.3896
1.3622
1.3716
1.3419
1.3511
1.3516
1.3242
1.3074
1.2999
1.3213
1.2881
1.2611
1.2727
1.2811
1.2684
1.2650
1.2770
1.2271
1.2020
1.1938
1.2103
1.1856
1.1786
1.2015
1.2256
1.2292
1.2037
1.2165
1.2694
1.2938
1.3201
1.3014
1.3119
1.3408
1.2991
1.2490
1.2218
1.2176
1.2266
1.2138
1.2007
1.1985
1.2262
1.2646
1.2613
1.2286
1.1702
1.1692
1.1222
1.1139
1.1372
1.1663
1.1582
1.0848
1.0807
1.0773
1.0622
1.0183
1.0014
0.9811
0.9808
0.9778
0.9922
0.9554
0.9170
0.8858
0.8758
0.8700
0.8833
0.8924
0.8883
0.9059
0.9111
0.9005
0.8607
0.8532
0.8742
0.8920
0.9095
0.9217
0.9383
Dataseries Y:
8.7000
8.9000
8.9000
8.1000
8.0000
8.3000
8.5000
8.7000
8.6000
8.3000
7.9000
7.9000
8.1000
8.3000
8.1000
7.4000
7.3000
7.7000
8.0000
8.0000
7.7000
6.9000
6.6000
6.9000
7.5000
7.9000
7.7000
6.5000
6.1000
6.4000
6.8000
7.1000
7.3000
7.2000
7.0000
7.0000
7.0000
7.3000
7.5000
7.2000
7.7000
8.0000
7.9000
8.0000
8.0000
7.9000
7.9000
8.0000
8.1000
8.1000
8.2000
8.0000
8.3000
8.5000
8.6000
8.7000
8.7000
8.5000
8.4000
8.5000
8.7000
8.7000
8.6000
7.9000
8.1000
8.2000
8.5000
8.6000
8.5000
8.3000
8.2000
8.7000
9.3000
9.3000
8.8000
7.4000
7.2000
7.5000
8.3000
8.8000
8.9000
8.6000
8.4000
8.4000
8.4000
8.4000
8.3000
7.6000
7.6000
7.9000
8.0000
8.2000
8.3000
8.2000
8.1000
8.0000
7.8000
7.6000
7.5000
6.8000
6.9000
7.1000
7.3000
7.4000
7.6000
7.6000
7.5000
7.5000
6.8000
6.4000
6.2000
6.0000
6.3000
6.3000
6.1000
6.1000
6.3000




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=112843&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=112843&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112843&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







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean1.224275213675217.8059829059829
Biased Variance0.03536972989845860.577656512528307
Biased Standard Deviation0.1880684181314310.760037178385576
Covariance0.0310154081933392
Correlation0.215128981004615
Determination0.046280478468084
T-Test2.36231334953198
p-value (2 sided)0.0198413136974009
p-value (1 sided)0.00992065684870047
Degrees of Freedom115
Number of Observations117

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 1.22427521367521 & 7.8059829059829 \tabularnewline
Biased Variance & 0.0353697298984586 & 0.577656512528307 \tabularnewline
Biased Standard Deviation & 0.188068418131431 & 0.760037178385576 \tabularnewline
Covariance & 0.0310154081933392 \tabularnewline
Correlation & 0.215128981004615 \tabularnewline
Determination & 0.046280478468084 \tabularnewline
T-Test & 2.36231334953198 \tabularnewline
p-value (2 sided) & 0.0198413136974009 \tabularnewline
p-value (1 sided) & 0.00992065684870047 \tabularnewline
Degrees of Freedom & 115 \tabularnewline
Number of Observations & 117 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112843&T=1

[TABLE]
[ROW][C]Pearson Product Moment Correlation - Ungrouped Data[/C][/ROW]
[ROW][C]Statistic[/C][C]Variable X[/C][C]Variable Y[/C][/ROW]
[ROW][C]Mean[/C][C]1.22427521367521[/C][C]7.8059829059829[/C][/ROW]
[ROW][C]Biased Variance[/C][C]0.0353697298984586[/C][C]0.577656512528307[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]0.188068418131431[/C][C]0.760037178385576[/C][/ROW]
[ROW][C]Covariance[/C][C]0.0310154081933392[/C][/ROW]
[ROW][C]Correlation[/C][C]0.215128981004615[/C][/ROW]
[ROW][C]Determination[/C][C]0.046280478468084[/C][/ROW]
[ROW][C]T-Test[/C][C]2.36231334953198[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.0198413136974009[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.00992065684870047[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]115[/C][/ROW]
[ROW][C]Number of Observations[/C][C]117[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112843&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112843&T=1

As an alternative you can also use a QR Code:  

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

Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean1.224275213675217.8059829059829
Biased Variance0.03536972989845860.577656512528307
Biased Standard Deviation0.1880684181314310.760037178385576
Covariance0.0310154081933392
Correlation0.215128981004615
Determination0.046280478468084
T-Test2.36231334953198
p-value (2 sided)0.0198413136974009
p-value (1 sided)0.00992065684870047
Degrees of Freedom115
Number of Observations117



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
bitmap(file='test1.png')
histx <- hist(x, plot=FALSE)
histy <- hist(y, plot=FALSE)
maxcounts <- max(c(histx$counts, histx$counts))
xrange <- c(min(x),max(x))
yrange <- c(min(y),max(y))
nf <- layout(matrix(c(2,0,1,3),2,2,byrow=TRUE), c(3,1), c(1,3), TRUE)
par(mar=c(4,4,1,1))
plot(x, y, xlim=xrange, ylim=yrange, xlab=xlab, ylab=ylab)
par(mar=c(0,4,1,1))
barplot(histx$counts, axes=FALSE, ylim=c(0, maxcounts), space=0)
par(mar=c(4,0,1,1))
barplot(histy$counts, axes=FALSE, xlim=c(0, maxcounts), space=0, horiz=TRUE)
dev.off()
lx = length(x)
makebiased = (lx-1)/lx
varx = var(x)*makebiased
vary = var(y)*makebiased
corxy <- cor.test(x,y,method='pearson')
cxy <- as.matrix(corxy$estimate)[1,1]
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Pearson Product Moment Correlation - Ungrouped Data',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistic',1,TRUE)
a<-table.element(a,'Variable X',1,TRUE)
a<-table.element(a,'Variable Y',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('arithmetic_mean.htm','Mean',''),header=TRUE)
a<-table.element(a,mean(x))
a<-table.element(a,mean(y))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('biased.htm','Biased Variance',''),header=TRUE)
a<-table.element(a,varx)
a<-table.element(a,vary)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('biased1.htm','Biased Standard Deviation',''),header=TRUE)
a<-table.element(a,sqrt(varx))
a<-table.element(a,sqrt(vary))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('covariance.htm','Covariance',''),header=TRUE)
a<-table.element(a,cov(x,y),2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('pearson_correlation.htm','Correlation',''),header=TRUE)
a<-table.element(a,cxy,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('coeff_of_determination.htm','Determination',''),header=TRUE)
a<-table.element(a,cxy*cxy,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,hyperlink('ttest_statistic.htm','T-Test',''),header=TRUE)
a<-table.element(a,as.matrix(corxy$statistic)[1,1],2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value (2 sided)',header=TRUE)
a<-table.element(a,(p2 <- as.matrix(corxy$p.value)[1,1]),2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value (1 sided)',header=TRUE)
a<-table.element(a,p2/2,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Degrees of Freedom',header=TRUE)
a<-table.element(a,lx-2,2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of Observations',header=TRUE)
a<-table.element(a,lx,2)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')