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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_smp.wasp

Title produced by software

Standard Deviation-Mean Plot

Date of computation

Fri, 27 Nov 2009 09:58:34 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/27/t1259341140o27m0fuo55gikld.htm/, Retrieved Sun, 28 Apr 2024 21:29:05 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=61004, Retrieved Sun, 28 Apr 2024 21:29:05 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

138

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Standard Deviation-Mean Plot] [Identifying Integ...] [2009-11-22 12:50:05] [b98453cac15ba1066b407e146608df68]
-   PD          [Standard Deviation-Mean Plot] [smp] [2009-11-27 16:58:34] [b090d569c0a4c77894e0b029f4429f19] [Current]

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Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61004&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61004&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61004&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Standard Deviation-Mean Plot
Section	Mean	Standard Deviation	Range
1	16.3583333333333	1.71223316877183	5.6
2	12.7333333333333	2.17478664923642	7.5
3	18.2	1.22771035968291	3.8
4	15.8666666666667	0.974523970817019	3.1
5	13.1333333333333	3.1807184246597	10.8

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 16.3583333333333 & 1.71223316877183 & 5.6 \tabularnewline
2 & 12.7333333333333 & 2.17478664923642 & 7.5 \tabularnewline
3 & 18.2 & 1.22771035968291 & 3.8 \tabularnewline
4 & 15.8666666666667 & 0.974523970817019 & 3.1 \tabularnewline
5 & 13.1333333333333 & 3.1807184246597 & 10.8 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61004&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]16.3583333333333[/C][C]1.71223316877183[/C][C]5.6[/C][/ROW]
[ROW][C]2[/C][C]12.7333333333333[/C][C]2.17478664923642[/C][C]7.5[/C][/ROW]
[ROW][C]3[/C][C]18.2[/C][C]1.22771035968291[/C][C]3.8[/C][/ROW]
[ROW][C]4[/C][C]15.8666666666667[/C][C]0.974523970817019[/C][C]3.1[/C][/ROW]
[ROW][C]5[/C][C]13.1333333333333[/C][C]3.1807184246597[/C][C]10.8[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61004&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61004&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
Section	Mean	Standard Deviation	Range
1	16.3583333333333	1.71223316877183	5.6
2	12.7333333333333	2.17478664923642	7.5
3	18.2	1.22771035968291	3.8
4	15.8666666666667	0.974523970817019	3.1
5	13.1333333333333	3.1807184246597	10.8

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha	6.30519338644292
beta	-0.291722482041028
S.D.	0.140506869971931
T-STAT	-2.07621507830404
p-value	0.129470091412701

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 6.30519338644292 \tabularnewline
beta & -0.291722482041028 \tabularnewline
S.D. & 0.140506869971931 \tabularnewline
T-STAT & -2.07621507830404 \tabularnewline
p-value & 0.129470091412701 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61004&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]6.30519338644292[/C][/ROW]
[ROW][C]beta[/C][C]-0.291722482041028[/C][/ROW]
[ROW][C]S.D.[/C][C]0.140506869971931[/C][/ROW]
[ROW][C]T-STAT[/C][C]-2.07621507830404[/C][/ROW]
[ROW][C]p-value[/C][C]0.129470091412701[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61004&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61004&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	6.30519338644292
beta	-0.291722482041028
S.D.	0.140506869971931
T-STAT	-2.07621507830404
p-value	0.129470091412701

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha	6.92373888360627
beta	-2.35405649970954
S.D.	1.13660632871035
T-STAT	-2.07112739058965
p-value	0.130101708694994
Lambda	3.35405649970954

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & 6.92373888360627 \tabularnewline
beta & -2.35405649970954 \tabularnewline
S.D. & 1.13660632871035 \tabularnewline
T-STAT & -2.07112739058965 \tabularnewline
p-value & 0.130101708694994 \tabularnewline
Lambda & 3.35405649970954 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61004&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]6.92373888360627[/C][/ROW]
[ROW][C]beta[/C][C]-2.35405649970954[/C][/ROW]
[ROW][C]S.D.[/C][C]1.13660632871035[/C][/ROW]
[ROW][C]T-STAT[/C][C]-2.07112739058965[/C][/ROW]
[ROW][C]p-value[/C][C]0.130101708694994[/C][/ROW]
[ROW][C]Lambda[/C][C]3.35405649970954[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61004&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61004&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	6.92373888360627
beta	-2.35405649970954
S.D.	1.13660632871035
T-STAT	-2.07112739058965
p-value	0.130101708694994
Lambda	3.35405649970954

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code