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Author's title

Author*Unverified author*
R Software Modulerwasp_smp.wasp
Title produced by softwareStandard Deviation-Mean Plot
Date of computationTue, 02 Jun 2009 06:07:25 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jun/02/t1243944481mtvffjbv7s3wfvx.htm/, Retrieved Fri, 10 May 2024 01:48:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41204, Retrieved Fri, 10 May 2024 01:48:41 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact122
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Standard Deviation-Mean Plot] [Datareeks - Aardo...] [2009-06-02 12:07:25] [900fe54243512ff0c75e5ed1f9ef5c37] [Current]
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Dataseries X:
493395,00
487190,00
519493,00
519453,00
538588,00
438224,00
542034,00
512027,00
619880,00
533737,00
573789,00
589213,00
532168,00
551102,00
593789,00
527106,00
547327,00
601305,00
610872,00
601325,00
642143,00
614216,00
657979,00
673098,00
602297,00
615381,00
703671,00
733852,00
716596,00
745798,00
742027,10
679181,20
739022,70
645410,60
729382,10
671052,70
744954,80
677639,30
778207,20
763316,20
658531,60
831700,10
664156,30
621402,10
683588,70
600023,80
643273,80
653615,90
620177,50
574128,80
599828,00
599369,40
596617,70
616114,60
510226,90
493960,10
634503,30
588556,20
603239,00
617458,20
646543,50
680125,60
731595,80
759600,30
785031,70
849573,30
762342,00
815346,60
929603,20
784057,50
944667,70
1007258,30
664292,70
873207,40
1146510,00
1417266,80
1089387,90
1373379,70
1009397,60
818175,10
1003458,10
961142,70
1121906,60
1141713,30
1042352,60
992223,60
920525,30
1076093,40
967880,40
1236416,10




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41204&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]0 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=41204&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41204&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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
1530585.2548496.1267771599181656
2596035.83333333348368.7014595057145992
3693639.28333333350593.5606664764143501
4693367.48333333370245.8164524968231676.3
5587848.30833333343187.1431955782140543.2
6807978.791666667108182.173955799360714.8
71051653.15833333215185.51508032752974.1

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 530585.25 & 48496.1267771599 & 181656 \tabularnewline
2 & 596035.833333333 & 48368.7014595057 & 145992 \tabularnewline
3 & 693639.283333333 & 50593.5606664764 & 143501 \tabularnewline
4 & 693367.483333333 & 70245.8164524968 & 231676.3 \tabularnewline
5 & 587848.308333333 & 43187.1431955782 & 140543.2 \tabularnewline
6 & 807978.791666667 & 108182.173955799 & 360714.8 \tabularnewline
7 & 1051653.15833333 & 215185.51508032 & 752974.1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41204&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]530585.25[/C][C]48496.1267771599[/C][C]181656[/C][/ROW]
[ROW][C]2[/C][C]596035.833333333[/C][C]48368.7014595057[/C][C]145992[/C][/ROW]
[ROW][C]3[/C][C]693639.283333333[/C][C]50593.5606664764[/C][C]143501[/C][/ROW]
[ROW][C]4[/C][C]693367.483333333[/C][C]70245.8164524968[/C][C]231676.3[/C][/ROW]
[ROW][C]5[/C][C]587848.308333333[/C][C]43187.1431955782[/C][C]140543.2[/C][/ROW]
[ROW][C]6[/C][C]807978.791666667[/C][C]108182.173955799[/C][C]360714.8[/C][/ROW]
[ROW][C]7[/C][C]1051653.15833333[/C][C]215185.51508032[/C][C]752974.1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41204&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41204&T=1

As an alternative you can also use a QR Code:  

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

Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
1530585.2548496.1267771599181656
2596035.83333333348368.7014595057145992
3693639.28333333350593.5606664764143501
4693367.48333333370245.8164524968231676.3
5587848.30833333343187.1431955782140543.2
6807978.791666667108182.173955799360714.8
71051653.15833333215185.51508032752974.1







Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-156782.323024111
beta0.338983804027824
S.D.0.0440031070401551
T-STAT7.7036333756724
p-value0.000588098193875225

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -156782.323024111 \tabularnewline
beta & 0.338983804027824 \tabularnewline
S.D. & 0.0440031070401551 \tabularnewline
T-STAT & 7.7036333756724 \tabularnewline
p-value & 0.000588098193875225 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41204&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-156782.323024111[/C][/ROW]
[ROW][C]beta[/C][C]0.338983804027824[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0440031070401551[/C][/ROW]
[ROW][C]T-STAT[/C][C]7.7036333756724[/C][/ROW]
[ROW][C]p-value[/C][C]0.000588098193875225[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41204&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41204&T=2

As an alternative you can also use a QR Code:  

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

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-156782.323024111
beta0.338983804027824
S.D.0.0440031070401551
T-STAT7.7036333756724
p-value0.000588098193875225







Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-21.2599565912455
beta2.41079467188735
S.D.0.361987540640918
T-STAT6.65988301039013
p-value0.0011518476848907
Lambda-1.41079467188735

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -21.2599565912455 \tabularnewline
beta & 2.41079467188735 \tabularnewline
S.D. & 0.361987540640918 \tabularnewline
T-STAT & 6.65988301039013 \tabularnewline
p-value & 0.0011518476848907 \tabularnewline
Lambda & -1.41079467188735 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41204&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-21.2599565912455[/C][/ROW]
[ROW][C]beta[/C][C]2.41079467188735[/C][/ROW]
[ROW][C]S.D.[/C][C]0.361987540640918[/C][/ROW]
[ROW][C]T-STAT[/C][C]6.65988301039013[/C][/ROW]
[ROW][C]p-value[/C][C]0.0011518476848907[/C][/ROW]
[ROW][C]Lambda[/C][C]-1.41079467188735[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41204&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41204&T=3

As an alternative you can also use a QR Code:  

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

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-21.2599565912455
beta2.41079467188735
S.D.0.361987540640918
T-STAT6.65988301039013
p-value0.0011518476848907
Lambda-1.41079467188735



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')