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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_smp.wasp
Title produced by softwareStandard Deviation-Mean Plot
Date of computationThu, 05 Dec 2013 04:32:06 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/05/t13862359341hx20q3t3ukrh6a.htm/, Retrieved Thu, 18 Apr 2024 01:31:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=230881, Retrieved Thu, 18 Apr 2024 01:31:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Standard Deviation-Mean Plot] [] [2013-12-05 09:32:06] [626ac9e5ebaea65a3a0a76f5178dd51c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
79.57
77.45
75.79
74.88
74.5
74.59
74.59
73.57
73.3
73.23
73
72.31
72.31
71.24
70.82
70.66
69.94
69.87
69.87
68.88
68.09
68.38
66.78
67.2
67.2
66.67
65.86
66.05
66.31
66.39
66.39
65.72
65.52
64.93
65.27
65.04
65.02
64.72
64.68
64.41
64.79
64.71
64.71
64.83
64.77
64.19
64.27
64.23
64.23
63.03
62.85
62.15
61.69
62.1
62.1
61.81
61.28
61.05
61.08
60.98
60.98
61.11
60.58
60.37
59.44
59.29
59.29
59.33
59.06
58.75
58.92
58.73
58.73
58.46
58.18
58.02
56.97
57.22
57.19
57.06
57.08
56.59
56.91
56.54

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230881&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]3 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=230881&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230881&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
174.73166666666672.057181802781897.25999999999999
269.50333333333331.673164303910045.53
365.94583333333330.6865123760168072.27
464.61083333333330.2676313045058720.829999999999998
562.02916666666670.9642939794418933.25000000000001
659.65416666666670.8648011682497082.38
757.41250.7384643156270622.19

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 74.7316666666667 & 2.05718180278189 & 7.25999999999999 \tabularnewline
2 & 69.5033333333333 & 1.67316430391004 & 5.53 \tabularnewline
3 & 65.9458333333333 & 0.686512376016807 & 2.27 \tabularnewline
4 & 64.6108333333333 & 0.267631304505872 & 0.829999999999998 \tabularnewline
5 & 62.0291666666667 & 0.964293979441893 & 3.25000000000001 \tabularnewline
6 & 59.6541666666667 & 0.864801168249708 & 2.38 \tabularnewline
7 & 57.4125 & 0.738464315627062 & 2.19 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230881&T=1

[TABLE]
[ROW][C]Standard Deviation-Mean Plot[/C][/ROW]
[ROW][C]Section[/C][C]Mean[/C][C]Standard Deviation[/C][C]Range[/C][/ROW]
[ROW][C]1[/C][C]74.7316666666667[/C][C]2.05718180278189[/C][C]7.25999999999999[/C][/ROW]
[ROW][C]2[/C][C]69.5033333333333[/C][C]1.67316430391004[/C][C]5.53[/C][/ROW]
[ROW][C]3[/C][C]65.9458333333333[/C][C]0.686512376016807[/C][C]2.27[/C][/ROW]
[ROW][C]4[/C][C]64.6108333333333[/C][C]0.267631304505872[/C][C]0.829999999999998[/C][/ROW]
[ROW][C]5[/C][C]62.0291666666667[/C][C]0.964293979441893[/C][C]3.25000000000001[/C][/ROW]
[ROW][C]6[/C][C]59.6541666666667[/C][C]0.864801168249708[/C][C]2.38[/C][/ROW]
[ROW][C]7[/C][C]57.4125[/C][C]0.738464315627062[/C][C]2.19[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230881&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230881&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:

Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
174.73166666666672.057181802781897.25999999999999
269.50333333333331.673164303910045.53
365.94583333333330.6865123760168072.27
464.61083333333330.2676313045058720.829999999999998
562.02916666666670.9642939794418933.25000000000001
659.65416666666670.8648011682497082.38
757.41250.7384643156270622.19






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-3.93449490764364
beta0.0766566904883671
S.D.0.0314916738028273
T-STAT2.43418914371852
p-value0.0590749516136562

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -3.93449490764364 \tabularnewline
beta & 0.0766566904883671 \tabularnewline
S.D. & 0.0314916738028273 \tabularnewline
T-STAT & 2.43418914371852 \tabularnewline
p-value & 0.0590749516136562 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230881&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-3.93449490764364[/C][/ROW]
[ROW][C]beta[/C][C]0.0766566904883671[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0314916738028273[/C][/ROW]
[ROW][C]T-STAT[/C][C]2.43418914371852[/C][/ROW]
[ROW][C]p-value[/C][C]0.0590749516136562[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230881&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230881&T=2

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


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

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-3.93449490764364
beta0.0766566904883671
S.D.0.0314916738028273
T-STAT2.43418914371852
p-value0.0590749516136562






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-15.7971749631178
beta3.75741068086435
S.D.2.83181185248092
T-STAT1.3268574596764
p-value0.241920407344412
Lambda-2.75741068086435

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -15.7971749631178 \tabularnewline
beta & 3.75741068086435 \tabularnewline
S.D. & 2.83181185248092 \tabularnewline
T-STAT & 1.3268574596764 \tabularnewline
p-value & 0.241920407344412 \tabularnewline
Lambda & -2.75741068086435 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230881&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-15.7971749631178[/C][/ROW]
[ROW][C]beta[/C][C]3.75741068086435[/C][/ROW]
[ROW][C]S.D.[/C][C]2.83181185248092[/C][/ROW]
[ROW][C]T-STAT[/C][C]1.3268574596764[/C][/ROW]
[ROW][C]p-value[/C][C]0.241920407344412[/C][/ROW]
[ROW][C]Lambda[/C][C]-2.75741068086435[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230881&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230881&T=3

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


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

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-15.7971749631178
beta3.75741068086435
S.D.2.83181185248092
T-STAT1.3268574596764
p-value0.241920407344412
Lambda-2.75741068086435


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
(n <- length(x))
(np <- floor(n / par1))
arr <- array(NA,dim=c(par1,np))
j <- 0
k <- 1
for (i in 1:(np*par1))
{
j = j + 1
arr[j,k] <- x[i]
if (j == par1) {
j = 0
k=k+1
}
}
arr
arr.mean <- array(NA,dim=np)
arr.sd <- array(NA,dim=np)
arr.range <- array(NA,dim=np)
for (j in 1:np)
{
arr.mean[j] <- mean(arr[,j],na.rm=TRUE)
arr.sd[j] <- sd(arr[,j],na.rm=TRUE)
arr.range[j] <- max(arr[,j],na.rm=TRUE) - min(arr[,j],na.rm=TRUE)
}
arr.mean
arr.sd
arr.range
(lm1 <- lm(arr.sd~arr.mean))
(lnlm1 <- lm(log(arr.sd)~log(arr.mean)))
(lm2 <- lm(arr.range~arr.mean))
bitmap(file='test1.png')
plot(arr.mean,arr.sd,main='Standard Deviation-Mean Plot',xlab='mean',ylab='standard deviation')
dev.off()
bitmap(file='test2.png')
plot(arr.mean,arr.range,main='Range-Mean Plot',xlab='mean',ylab='range')
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Standard Deviation-Mean Plot',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Section',header=TRUE)
a<-table.element(a,'Mean',header=TRUE)
a<-table.element(a,'Standard Deviation',header=TRUE)
a<-table.element(a,'Range',header=TRUE)
a<-table.row.end(a)
for (j in 1:np) {
a<-table.row.start(a)
a<-table.element(a,j,header=TRUE)
a<-table.element(a,arr.mean[j])
a<-table.element(a,arr.sd[j] )
a<-table.element(a,arr.range[j] )
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Regression: S.E.(k) = alpha + beta * Mean(k)',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'alpha',header=TRUE)
a<-table.element(a,lm1$coefficients[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'beta',header=TRUE)
a<-table.element(a,lm1$coefficients[[2]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,summary(lm1)$coefficients[2,2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,summary(lm1)$coefficients[2,3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,summary(lm1)$coefficients[2,4])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Regression: ln S.E.(k) = alpha + beta * ln Mean(k)',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'alpha',header=TRUE)
a<-table.element(a,lnlm1$coefficients[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'beta',header=TRUE)
a<-table.element(a,lnlm1$coefficients[[2]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,summary(lnlm1)$coefficients[2,2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,summary(lnlm1)$coefficients[2,3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,summary(lnlm1)$coefficients[2,4])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Lambda',header=TRUE)
a<-table.element(a,1-lnlm1$coefficients[[2]])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')