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Description of Statistical Computation

Author's title

Oligomers Project - Dropping individual words per chromosome increases accu...

Author*Unverified author*
R Software Modulerwasp_correlation.wasp
Title produced by softwarePearson Correlation
Date of computationFri, 16 Mar 2012 13:58:08 -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/Mar/16/t13319211464qvlc0to7pb9euy.htm/, Retrieved Mon, 29 Apr 2024 02:18:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=164026, Retrieved Mon, 29 Apr 2024 02:18:59 +0000
QR Codes:

Original text written by user:Graphing number of words used in the individual chromosome runs versus the performance improvement shows a weak correlation between a decrease in the number of words used and an increase in performance. The best whole genome word set was 70 words. Whereas the average size for individual chromosome runs is 40 words. There is an average of 20% increase in prediction accuracy between individuals vs whole genome runs.
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact201

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Pearson Correlation] [Oligomers Project...] [2012-03-16 17:58:08] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.09
0.07
0.1
0.32
0.27
0.08
0.09
0.1
0.17
0.36
0.04
0.09
0.2
0.15
0.31
0.33
0.25
0.12
0.36
0.15
0.14
0.16
0.64
Dataseries Y:
Download CSV
Histogram 
0.86
0.5
0.9
0.53
0.51
0.53
0.61
0.58
0.36
0.25
0.97
0.56
0.44
0.6
0.29
0.39
1
0.6
0.44
0.93
0.21
0.75
0.35

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164026&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164026&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164026&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean0.1995652173913040.572173913043478
Biased Variance0.01853459357277880.0514865784499055
Biased Standard Deviation0.1361418141967370.226906541223266
Covariance-0.0150444664031621
Correlation-0.465836038824957
Determination0.217003215068127
T-Test-2.41247455885178
p-value (2 sided)0.0250731826983966
p-value (1 sided)0.0125365913491983
Degrees of Freedom21
Number of Observations23

\begin{tabular}{lllllllll}
\hline
Pearson Product Moment Correlation - Ungrouped Data \tabularnewline
Statistic & Variable X & Variable Y \tabularnewline
Mean & 0.199565217391304 & 0.572173913043478 \tabularnewline
Biased Variance & 0.0185345935727788 & 0.0514865784499055 \tabularnewline
Biased Standard Deviation & 0.136141814196737 & 0.226906541223266 \tabularnewline
Covariance & -0.0150444664031621 \tabularnewline
Correlation & -0.465836038824957 \tabularnewline
Determination & 0.217003215068127 \tabularnewline
T-Test & -2.41247455885178 \tabularnewline
p-value (2 sided) & 0.0250731826983966 \tabularnewline
p-value (1 sided) & 0.0125365913491983 \tabularnewline
Degrees of Freedom & 21 \tabularnewline
Number of Observations & 23 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164026&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]0.199565217391304[/C][C]0.572173913043478[/C][/ROW]
[ROW][C]Biased Variance[/C][C]0.0185345935727788[/C][C]0.0514865784499055[/C][/ROW]
[ROW][C]Biased Standard Deviation[/C][C]0.136141814196737[/C][C]0.226906541223266[/C][/ROW]
[ROW][C]Covariance[/C][C]-0.0150444664031621[/C][/ROW]
[ROW][C]Correlation[/C][C]-0.465836038824957[/C][/ROW]
[ROW][C]Determination[/C][C]0.217003215068127[/C][/ROW]
[ROW][C]T-Test[/C][C]-2.41247455885178[/C][/ROW]
[ROW][C]p-value (2 sided)[/C][C]0.0250731826983966[/C][/ROW]
[ROW][C]p-value (1 sided)[/C][C]0.0125365913491983[/C][/ROW]
[ROW][C]Degrees of Freedom[/C][C]21[/C][/ROW]
[ROW][C]Number of Observations[/C][C]23[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164026&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164026&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Pearson Product Moment Correlation - Ungrouped Data
StatisticVariable XVariable Y
Mean0.1995652173913040.572173913043478
Biased Variance0.01853459357277880.0514865784499055
Biased Standard Deviation0.1361418141967370.226906541223266
Covariance-0.0150444664031621
Correlation-0.465836038824957
Determination0.217003215068127
T-Test-2.41247455885178
p-value (2 sided)0.0250731826983966
p-value (1 sided)0.0125365913491983
Degrees of Freedom21
Number of Observations23


Figures (Output of Computation)

Input Parameters & R Code

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')