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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationThu, 27 Sep 2012 04:26:59 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Sep/27/t1348734853zp00afy8felq0xv.htm/, Retrieved Mon, 29 Apr 2024 15:01:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=170020, Retrieved Mon, 29 Apr 2024 15:01:21 +0000
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Original text written by user:Here I have correlated height (m) in the y-axis versus weight (kg) in the x-axis. The output is a Pearson correlation of r=0.63 and the P-value is 3.83 x 10-6 (essentially 3.83 with the decimal place moved down by 6 places - very low indeed so just state this as 'P<0.001'.
IsPrivate?No (this computation is public)
User-defined keywordsExample of output of correlation calculation, using class height and weight (all data are anonymised)
Estimated Impact204
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Height v weight] [2012-09-27 08:26:59] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
1.69
1.68
1.63
1.61
1.87
1.83
1.61
1.69
1.76
1.73
1.84
1.71
1.62
1.6
1.84
1.59
1.66
1.78
1.74
1.81
1.89
1.75
1.78
1.8
1.71
1.69
1.89
1.88
1.86
1.9
1.83
1.76
1.85
1.72
1.81
1.9
1.7
1.71
1.88
1.82
1.83
1.67
1.9
1.79
1.76
Dataseries Y:
62.6
61.6
63.4
46.5
81.7
82.5
55.5
68.8
65.3
68
95
95
53.6
48.8
84.7
69.3
53.5
91.8
75.8
89
115.8
72
74.5
72.5
72.6
72.5
81
76.2
88
72.8
82
57.3
68
62.1
73.9
84.2
58.7
63
76.6
56
56.4
63.4
83.5
59.8
76.4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170020&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170020&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170020&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' @ jenkins.wessa.net







Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean1.7637777777777871.8133333333333
Biased Variance0.00843683950617284191.648711111111
Biased Standard Deviation0.091852270010995613.8437246112132
Covariance0.817016666666667
Correlation0.628243832010604
Determination0.394690312459368
T-Test5.29509369213878
p-value (2 sided)3.83102897894005e-06
p-value (1 sided)1.91551448947003e-06
Degrees of Freedom43
Number of Observations45

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 1.76377777777778 & 71.8133333333333 \tabularnewline
Biased Variance & 0.00843683950617284 & 191.648711111111 \tabularnewline
Biased Standard Deviation & 0.0918522700109956 & 13.8437246112132 \tabularnewline
Covariance & 0.817016666666667 \tabularnewline
Correlation & 0.628243832010604 \tabularnewline
Determination & 0.394690312459368 \tabularnewline
T-Test & 5.29509369213878 \tabularnewline
p-value (2 sided) & 3.83102897894005e-06 \tabularnewline
p-value (1 sided) & 1.91551448947003e-06 \tabularnewline
Degrees of Freedom & 43 \tabularnewline
Number of Observations & 45 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170020&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]1.76377777777778[/C][C]71.8133333333333[/C][/ROW]
[ROW][C]Biased Variance[/C][C]0.00843683950617284[/C][C]191.648711111111[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]0.0918522700109956[/C][C]13.8437246112132[/C][/ROW]
[ROW][C]Covariance[/C][C]0.817016666666667[/C][/ROW]
[ROW][C]Correlation[/C][C]0.628243832010604[/C][/ROW]
[ROW][C]Determination[/C][C]0.394690312459368[/C][/ROW]
[ROW][C]T-Test[/C][C]5.29509369213878[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]3.83102897894005e-06[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]1.91551448947003e-06[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]43[/C][/ROW]
[ROW][C]Number of Observations[/C][C]45[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170020&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170020&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
Mean1.7637777777777871.8133333333333
Biased Variance0.00843683950617284191.648711111111
Biased Standard Deviation0.091852270010995613.8437246112132
Covariance0.817016666666667
Correlation0.628243832010604
Determination0.394690312459368
T-Test5.29509369213878
p-value (2 sided)3.83102897894005e-06
p-value (1 sided)1.91551448947003e-06
Degrees of Freedom43
Number of Observations45



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
x <- x[!is.na(y)]
y <- y[!is.na(y)]
y <- y[!is.na(x)]
x <- x[!is.na(x)]
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', na.rm = T)
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')