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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

Sun, 05 Dec 2010 12:38:18 +0000

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/2010/Dec/05/t1291552599a88ypnjdxfed3zz.htm/, Retrieved Wed, 01 May 2024 22:43:14 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=105368, Retrieved Wed, 01 May 2024 22:43:14 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

KDGP2W83

Estimated Impact

120

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

-     [Variability] [] [2010-12-05 11:37:00] [ffc696c4cda56cf82d3c83a5cb69c43d]
- RMPD    [Standard Deviation-Mean Plot] [] [2010-12-05 12:38:18] [9b9daabfb4dd89dd7e1d590f0423e9fb] [Current]

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Dataseries X:

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Histogram

Boxplots

3.65
3.59
3.31
3.89
4.31
4.35
4.11
3.90
3.75
3.75
3.88
3.93
3.97
3.97
4.33
4.16
4.93
3.86
4.06
4.18
4.08
4.38
4.48
4.41
4.37
4.56
4.71
4.94
5.03
5.08
5.05
4.83
4.68
4.69
4.58
4.54
4.75
4.71
4.50
4.62
4.69
5.05
4.93
4.53
4.33
4.33
3.87
3.74
3.31
3.21
2.93
3.19
3.46
3.73
3.60
3.46
3.25
3.19
2.82
1.89
1.98
2.30
2.42
2.47
2.81
3.37
3.14
3.21
3.02
2.96
2.92
3.07

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105368&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105368&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105368&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	2 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Standard Deviation-Mean Plot
Section	Mean	Standard Deviation	Range
1	3.61	0.238327505756260	0.58
2	4.1675	0.206942020865749	0.45
3	3.8275	0.0917877987534291	0.18
4	4.1075	0.173277234511635	0.36
5	4.2575	0.467359604587303	1.07
6	4.3375	0.176705970470723	0.4
7	4.645	0.240901086202062	0.57
8	4.9975	0.113541475535007	0.25
9	4.6225	0.0741057802513857	0.150000000000000
10	4.645	0.110905365064094	0.25
11	4.8	0.234093998214392	0.52
12	4.0675	0.30772011092333	0.59
13	3.16	0.162069943748576	0.38
14	3.5625	0.129711217710728	0.27
15	2.7875	0.627820303377753	1.36
16	2.2925	0.220208234783958	0.49
17	3.1325	0.235566692608838	0.56
18	2.9925	0.0660176744011278	0.15

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 3.61 & 0.238327505756260 & 0.58 \tabularnewline
2 & 4.1675 & 0.206942020865749 & 0.45 \tabularnewline
3 & 3.8275 & 0.0917877987534291 & 0.18 \tabularnewline
4 & 4.1075 & 0.173277234511635 & 0.36 \tabularnewline
5 & 4.2575 & 0.467359604587303 & 1.07 \tabularnewline
6 & 4.3375 & 0.176705970470723 & 0.4 \tabularnewline
7 & 4.645 & 0.240901086202062 & 0.57 \tabularnewline
8 & 4.9975 & 0.113541475535007 & 0.25 \tabularnewline
9 & 4.6225 & 0.0741057802513857 & 0.150000000000000 \tabularnewline
10 & 4.645 & 0.110905365064094 & 0.25 \tabularnewline
11 & 4.8 & 0.234093998214392 & 0.52 \tabularnewline
12 & 4.0675 & 0.30772011092333 & 0.59 \tabularnewline
13 & 3.16 & 0.162069943748576 & 0.38 \tabularnewline
14 & 3.5625 & 0.129711217710728 & 0.27 \tabularnewline
15 & 2.7875 & 0.627820303377753 & 1.36 \tabularnewline
16 & 2.2925 & 0.220208234783958 & 0.49 \tabularnewline
17 & 3.1325 & 0.235566692608838 & 0.56 \tabularnewline
18 & 2.9925 & 0.0660176744011278 & 0.15 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105368&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]3.61[/C][C]0.238327505756260[/C][C]0.58[/C][/ROW]
[ROW][C]2[/C][C]4.1675[/C][C]0.206942020865749[/C][C]0.45[/C][/ROW]
[ROW][C]3[/C][C]3.8275[/C][C]0.0917877987534291[/C][C]0.18[/C][/ROW]
[ROW][C]4[/C][C]4.1075[/C][C]0.173277234511635[/C][C]0.36[/C][/ROW]
[ROW][C]5[/C][C]4.2575[/C][C]0.467359604587303[/C][C]1.07[/C][/ROW]
[ROW][C]6[/C][C]4.3375[/C][C]0.176705970470723[/C][C]0.4[/C][/ROW]
[ROW][C]7[/C][C]4.645[/C][C]0.240901086202062[/C][C]0.57[/C][/ROW]
[ROW][C]8[/C][C]4.9975[/C][C]0.113541475535007[/C][C]0.25[/C][/ROW]
[ROW][C]9[/C][C]4.6225[/C][C]0.0741057802513857[/C][C]0.150000000000000[/C][/ROW]
[ROW][C]10[/C][C]4.645[/C][C]0.110905365064094[/C][C]0.25[/C][/ROW]
[ROW][C]11[/C][C]4.8[/C][C]0.234093998214392[/C][C]0.52[/C][/ROW]
[ROW][C]12[/C][C]4.0675[/C][C]0.30772011092333[/C][C]0.59[/C][/ROW]
[ROW][C]13[/C][C]3.16[/C][C]0.162069943748576[/C][C]0.38[/C][/ROW]
[ROW][C]14[/C][C]3.5625[/C][C]0.129711217710728[/C][C]0.27[/C][/ROW]
[ROW][C]15[/C][C]2.7875[/C][C]0.627820303377753[/C][C]1.36[/C][/ROW]
[ROW][C]16[/C][C]2.2925[/C][C]0.220208234783958[/C][C]0.49[/C][/ROW]
[ROW][C]17[/C][C]3.1325[/C][C]0.235566692608838[/C][C]0.56[/C][/ROW]
[ROW][C]18[/C][C]2.9925[/C][C]0.0660176744011278[/C][C]0.15[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105368&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105368&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	3.61	0.238327505756260	0.58
2	4.1675	0.206942020865749	0.45
3	3.8275	0.0917877987534291	0.18
4	4.1075	0.173277234511635	0.36
5	4.2575	0.467359604587303	1.07
6	4.3375	0.176705970470723	0.4
7	4.645	0.240901086202062	0.57
8	4.9975	0.113541475535007	0.25
9	4.6225	0.0741057802513857	0.150000000000000
10	4.645	0.110905365064094	0.25
11	4.8	0.234093998214392	0.52
12	4.0675	0.30772011092333	0.59
13	3.16	0.162069943748576	0.38
14	3.5625	0.129711217710728	0.27
15	2.7875	0.627820303377753	1.36
16	2.2925	0.220208234783958	0.49
17	3.1325	0.235566692608838	0.56
18	2.9925	0.0660176744011278	0.15

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha	0.390397357270108
beta	-0.044993257105454
S.D.	0.0442390715183153
T-STAT	-1.01704795243785
p-value	0.324264134514356

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 0.390397357270108 \tabularnewline
beta & -0.044993257105454 \tabularnewline
S.D. & 0.0442390715183153 \tabularnewline
T-STAT & -1.01704795243785 \tabularnewline
p-value & 0.324264134514356 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105368&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]0.390397357270108[/C][/ROW]
[ROW][C]beta[/C][C]-0.044993257105454[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0442390715183153[/C][/ROW]
[ROW][C]T-STAT[/C][C]-1.01704795243785[/C][/ROW]
[ROW][C]p-value[/C][C]0.324264134514356[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105368&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105368&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	0.390397357270108
beta	-0.044993257105454
S.D.	0.0442390715183153
T-STAT	-1.01704795243785
p-value	0.324264134514356

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha	-1.01299871630867
beta	-0.516878117481705
S.D.	0.675324830295577
T-STAT	-0.765377036789063
p-value	0.455189714697527
Lambda	1.51687811748171

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -1.01299871630867 \tabularnewline
beta & -0.516878117481705 \tabularnewline
S.D. & 0.675324830295577 \tabularnewline
T-STAT & -0.765377036789063 \tabularnewline
p-value & 0.455189714697527 \tabularnewline
Lambda & 1.51687811748171 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105368&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-1.01299871630867[/C][/ROW]
[ROW][C]beta[/C][C]-0.516878117481705[/C][/ROW]
[ROW][C]S.D.[/C][C]0.675324830295577[/C][/ROW]
[ROW][C]T-STAT[/C][C]-0.765377036789063[/C][/ROW]
[ROW][C]p-value[/C][C]0.455189714697527[/C][/ROW]
[ROW][C]Lambda[/C][C]1.51687811748171[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105368&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105368&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	-1.01299871630867
beta	-0.516878117481705
S.D.	0.675324830295577
T-STAT	-0.765377036789063
p-value	0.455189714697527
Lambda	1.51687811748171

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 4 ;

Parameters (R input):

par1 = 4 ;

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