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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, 20 Nov 2014 15:47:39 +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/2014/Nov/20/t1416498473407l5mcijdcy3bo.htm/, Retrieved Tue, 28 May 2024 22:50:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=257212, Retrieved Tue, 28 May 2024 22:50:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

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] [] [2014-11-20 15:47:39] [f1a1c306ccf782003dcf1365fad9efec] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1850.07
1841.55
1845
1844.01
1842.67
1842.67
1842.67
1842.9
1840.37
1841.59
1844.33
1844.33
1844.33
1845.39
1861.84
1862.85
1869.46
1870.8
1870.8
1871.52
1875.52
1880.38
1885.05
1886.42
1886.42
1891.65
1903.11
1905.29
1904.26
1905.37
1905.37
1905.12
1908.62
1915.08
1916.36
1916.68
1916.24
1922.05
1922.63
1922.47
1920.64
1920.66
1920.66
1921.19
1921.44
1921.73
1921.81
1921.81
1921.81
1921.48
1917.07
1912.64
1901.15
1898.12
1900.02
1900.02
1900.82
1901.9
1902.19
1901.84
1903.73
1889.7
1891.27
1894.48
1894.27
1893.98
1893.98
1895.62
1901.72
1905.4
1898.14
1898.09

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'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=257212&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=257212&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=257212&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'Gwilym Jenkins' @ jenkins.wessa.net






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
11843.513333333332.462904173876239.70000000000005
21868.6966666666713.48447142816442.0900000000001
31905.27759.0813976947884230.26
41921.110833333331.675114423952386.3900000000001
51906.588333333338.9679690954513123.6900000000001
61896.698333333334.8579678380112515.7

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 1843.51333333333 & 2.46290417387623 & 9.70000000000005 \tabularnewline
2 & 1868.69666666667 & 13.484471428164 & 42.0900000000001 \tabularnewline
3 & 1905.2775 & 9.08139769478842 & 30.26 \tabularnewline
4 & 1921.11083333333 & 1.67511442395238 & 6.3900000000001 \tabularnewline
5 & 1906.58833333333 & 8.96796909545131 & 23.6900000000001 \tabularnewline
6 & 1896.69833333333 & 4.85796783801125 & 15.7 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=257212&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]1843.51333333333[/C][C]2.46290417387623[/C][C]9.70000000000005[/C][/ROW]
[ROW][C]2[/C][C]1868.69666666667[/C][C]13.484471428164[/C][C]42.0900000000001[/C][/ROW]
[ROW][C]3[/C][C]1905.2775[/C][C]9.08139769478842[/C][C]30.26[/C][/ROW]
[ROW][C]4[/C][C]1921.11083333333[/C][C]1.67511442395238[/C][C]6.3900000000001[/C][/ROW]
[ROW][C]5[/C][C]1906.58833333333[/C][C]8.96796909545131[/C][C]23.6900000000001[/C][/ROW]
[ROW][C]6[/C][C]1896.69833333333[/C][C]4.85796783801125[/C][C]15.7[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=257212&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=257212&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
11843.513333333332.462904173876239.70000000000005
21868.6966666666713.48447142816442.0900000000001
31905.27759.0813976947884230.26
41921.110833333331.675114423952386.3900000000001
51906.588333333338.9679690954513123.6900000000001
61896.698333333334.8579678380112515.7






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha26.1035625496898
beta-0.0102356487165842
S.D.0.0789032923584758
T-STAT-0.129723974889175
p-value0.90304661806524

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 26.1035625496898 \tabularnewline
beta & -0.0102356487165842 \tabularnewline
S.D. & 0.0789032923584758 \tabularnewline
T-STAT & -0.129723974889175 \tabularnewline
p-value & 0.90304661806524 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=257212&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]26.1035625496898[/C][/ROW]
[ROW][C]beta[/C][C]-0.0102356487165842[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0789032923584758[/C][/ROW]
[ROW][C]T-STAT[/C][C]-0.129723974889175[/C][/ROW]
[ROW][C]p-value[/C][C]0.90304661806524[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=257212&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=257212&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)
alpha26.1035625496898
beta-0.0102356487165842
S.D.0.0789032923584758
T-STAT-0.129723974889175
p-value0.90304661806524






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha12.52111353644
beta-1.43875814223616
S.D.26.7983783853095
T-STAT-0.0536882538767667
p-value0.959757971398274
Lambda2.43875814223616

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & 12.52111353644 \tabularnewline
beta & -1.43875814223616 \tabularnewline
S.D. & 26.7983783853095 \tabularnewline
T-STAT & -0.0536882538767667 \tabularnewline
p-value & 0.959757971398274 \tabularnewline
Lambda & 2.43875814223616 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=257212&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]12.52111353644[/C][/ROW]
[ROW][C]beta[/C][C]-1.43875814223616[/C][/ROW]
[ROW][C]S.D.[/C][C]26.7983783853095[/C][/ROW]
[ROW][C]T-STAT[/C][C]-0.0536882538767667[/C][/ROW]
[ROW][C]p-value[/C][C]0.959757971398274[/C][/ROW]
[ROW][C]Lambda[/C][C]2.43875814223616[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=257212&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=257212&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)
alpha12.52111353644
beta-1.43875814223616
S.D.26.7983783853095
T-STAT-0.0536882538767667
p-value0.959757971398274
Lambda2.43875814223616


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')