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Author's title

Author

*Unverified author*

R Software Module

rwasp_smp.wasp

Title produced by software

Standard Deviation-Mean Plot

Date of computation

Wed, 16 Jan 2008 08:59:23 -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/2008/Jan/16/t1200499055m1trafzvh9cu8kk.htm/, Retrieved Wed, 15 May 2024 00:05:36 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7993, Retrieved Wed, 15 May 2024 00:05:36 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

265

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

-     [Hierarchical Clustering] [paper] [2007-12-05 22:51:14] [8d3192ea84fef628e5e980e3df2ac42d]
- RMPD    [Standard Deviation-Mean Plot] [] [2008-01-16 15:59:23] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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Histogram

Boxplots

0,88
0,87
0,88
0,89
0,92
0,96
0,99
0,98
0,98
0,98
1,00
1,02
1,06
1,08
1,08
1,08
1,16
1,17
1,14
1,11
1,12
1,17
1,17
1,23
1,26
1,26
1,23
1,20
1,20
1,21
1,23
1,22
1,22
1,25
1,30
1,34
1,31
1,30
1,32
1,29
1,27
1,22
1,20
1,23
1,23
1,20
1,18
1,19
1,21
1,19
1,20
1,23
1,28
1,27
1,27
1,28
1,27
1,26
1,29
1,32

Summary of compuational 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 compuational 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=7993&T=0

[TABLE]
[ROW][C]Summary of compuational 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=7993&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7993&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 compuational 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	0.945833333333333	0.0541812334725416	0.15
2	1.13083333333333	0.0510718448201485	0.17
3	1.24333333333333	0.0420677663977656	0.14
4	1.245	0.0503623235798711	0.14
5	1.25583333333333	0.039648073054938	0.13

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 0.945833333333333 & 0.0541812334725416 & 0.15 \tabularnewline
2 & 1.13083333333333 & 0.0510718448201485 & 0.17 \tabularnewline
3 & 1.24333333333333 & 0.0420677663977656 & 0.14 \tabularnewline
4 & 1.245 & 0.0503623235798711 & 0.14 \tabularnewline
5 & 1.25583333333333 & 0.039648073054938 & 0.13 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7993&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]0.945833333333333[/C][C]0.0541812334725416[/C][C]0.15[/C][/ROW]
[ROW][C]2[/C][C]1.13083333333333[/C][C]0.0510718448201485[/C][C]0.17[/C][/ROW]
[ROW][C]3[/C][C]1.24333333333333[/C][C]0.0420677663977656[/C][C]0.14[/C][/ROW]
[ROW][C]4[/C][C]1.245[/C][C]0.0503623235798711[/C][C]0.14[/C][/ROW]
[ROW][C]5[/C][C]1.25583333333333[/C][C]0.039648073054938[/C][C]0.13[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7993&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7993&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	0.945833333333333	0.0541812334725416	0.15
2	1.13083333333333	0.0510718448201485	0.17
3	1.24333333333333	0.0420677663977656	0.14
4	1.245	0.0503623235798711	0.14
5	1.25583333333333	0.039648073054938	0.13

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha	0.0889901281490771
beta	-0.0356683291774009
S.D.	0.0179581807397452
T-STAT	-1.98618833913724
p-value	0.141205610260732

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 0.0889901281490771 \tabularnewline
beta & -0.0356683291774009 \tabularnewline
S.D. & 0.0179581807397452 \tabularnewline
T-STAT & -1.98618833913724 \tabularnewline
p-value & 0.141205610260732 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7993&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]0.0889901281490771[/C][/ROW]
[ROW][C]beta[/C][C]-0.0356683291774009[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0179581807397452[/C][/ROW]
[ROW][C]T-STAT[/C][C]-1.98618833913724[/C][/ROW]
[ROW][C]p-value[/C][C]0.141205610260732[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7993&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7993&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	0.0889901281490771
beta	-0.0356683291774009
S.D.	0.0179581807397452
T-STAT	-1.98618833913724
p-value	0.141205610260732

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha	-2.93606444092193
beta	-0.811914424878772
S.D.	0.444294331821088
T-STAT	-1.82742467487909
p-value	0.165093100327902
Lambda	1.81191442487877

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -2.93606444092193 \tabularnewline
beta & -0.811914424878772 \tabularnewline
S.D. & 0.444294331821088 \tabularnewline
T-STAT & -1.82742467487909 \tabularnewline
p-value & 0.165093100327902 \tabularnewline
Lambda & 1.81191442487877 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7993&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-2.93606444092193[/C][/ROW]
[ROW][C]beta[/C][C]-0.811914424878772[/C][/ROW]
[ROW][C]S.D.[/C][C]0.444294331821088[/C][/ROW]
[ROW][C]T-STAT[/C][C]-1.82742467487909[/C][/ROW]
[ROW][C]p-value[/C][C]0.165093100327902[/C][/ROW]
[ROW][C]Lambda[/C][C]1.81191442487877[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7993&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7993&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	-2.93606444092193
beta	-0.811914424878772
S.D.	0.444294331821088
T-STAT	-1.82742467487909
p-value	0.165093100327902
Lambda	1.81191442487877

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code