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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, 18 May 2008 14:45:03 -0600

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/May/18/t12111435544zrq4g9lxq0nubo.htm/, Retrieved Tue, 14 May 2024 23:22:38 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=12843, Retrieved Tue, 14 May 2024 23:22:38 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

153

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

-       [Standard Deviation-Mean Plot] [sven van roy - sp...] [2008-05-18 20:45:03] [9ed44c8445a965e8d6beecda46dd06a5] [Current]

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Dataseries X:

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Histogram

Boxplots

7,1
7,1
7,3
7,1
7,4
7,3
7,4
7,6
7,8
7,7
8
8,1
7,7
7,9
8,1
8,1
8,2
8,1
8,3
8,3
8,3
8,5
8,7
8,7
8,4
8,4
8,6
8,7
8,7
8,6
8
8,1
8,1
8,5
8,6
8,6
8,3
8,3
8,5
9,2
9,2
9
7,4
7,3
7,4
8,6
8,7
8,7
8,5
8,4
8,6
8,4
8,4
8,2
7,7
7,6
7,7
8,1
8,2
8,3
8,1
8
8,2
7,6
7,7
7,6
6,9
6,9
7
7,4
7,4
7,5

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=12843&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=12843&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=12843&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	7.15	0.1	0.2
2	7.425	0.125830573921179	0.3
3	7.9	0.182574185835055	0.399999999999999
4	7.95	0.191485421551267	0.399999999999999
5	8.225	0.0957427107756344	0.200000000000001
6	8.55	0.191485421551267	0.399999999999999
7	8.525	0.149999999999999	0.299999999999999
8	8.35	0.351188458428424	0.700
9	8.45	0.238047614284762	0.5
10	8.575	0.427200187265876	0.899999999999999
11	8.225	1.01447851956888	1.9
12	8.35	0.635085296108588	1.3
13	8.475	0.0957427107756335	0.199999999999999
14	7.975	0.386221007541882	0.8
15	8.075	0.262995563967658	0.6
16	7.975	0.262995563967658	0.6
17	7.275	0.434932945023329	0.8
18	7.325	0.221735578260835	0.5

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 7.15 & 0.1 & 0.2 \tabularnewline
2 & 7.425 & 0.125830573921179 & 0.3 \tabularnewline
3 & 7.9 & 0.182574185835055 & 0.399999999999999 \tabularnewline
4 & 7.95 & 0.191485421551267 & 0.399999999999999 \tabularnewline
5 & 8.225 & 0.0957427107756344 & 0.200000000000001 \tabularnewline
6 & 8.55 & 0.191485421551267 & 0.399999999999999 \tabularnewline
7 & 8.525 & 0.149999999999999 & 0.299999999999999 \tabularnewline
8 & 8.35 & 0.351188458428424 & 0.700 \tabularnewline
9 & 8.45 & 0.238047614284762 & 0.5 \tabularnewline
10 & 8.575 & 0.427200187265876 & 0.899999999999999 \tabularnewline
11 & 8.225 & 1.01447851956888 & 1.9 \tabularnewline
12 & 8.35 & 0.635085296108588 & 1.3 \tabularnewline
13 & 8.475 & 0.0957427107756335 & 0.199999999999999 \tabularnewline
14 & 7.975 & 0.386221007541882 & 0.8 \tabularnewline
15 & 8.075 & 0.262995563967658 & 0.6 \tabularnewline
16 & 7.975 & 0.262995563967658 & 0.6 \tabularnewline
17 & 7.275 & 0.434932945023329 & 0.8 \tabularnewline
18 & 7.325 & 0.221735578260835 & 0.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=12843&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]7.15[/C][C]0.1[/C][C]0.2[/C][/ROW]
[ROW][C]2[/C][C]7.425[/C][C]0.125830573921179[/C][C]0.3[/C][/ROW]
[ROW][C]3[/C][C]7.9[/C][C]0.182574185835055[/C][C]0.399999999999999[/C][/ROW]
[ROW][C]4[/C][C]7.95[/C][C]0.191485421551267[/C][C]0.399999999999999[/C][/ROW]
[ROW][C]5[/C][C]8.225[/C][C]0.0957427107756344[/C][C]0.200000000000001[/C][/ROW]
[ROW][C]6[/C][C]8.55[/C][C]0.191485421551267[/C][C]0.399999999999999[/C][/ROW]
[ROW][C]7[/C][C]8.525[/C][C]0.149999999999999[/C][C]0.299999999999999[/C][/ROW]
[ROW][C]8[/C][C]8.35[/C][C]0.351188458428424[/C][C]0.700[/C][/ROW]
[ROW][C]9[/C][C]8.45[/C][C]0.238047614284762[/C][C]0.5[/C][/ROW]
[ROW][C]10[/C][C]8.575[/C][C]0.427200187265876[/C][C]0.899999999999999[/C][/ROW]
[ROW][C]11[/C][C]8.225[/C][C]1.01447851956888[/C][C]1.9[/C][/ROW]
[ROW][C]12[/C][C]8.35[/C][C]0.635085296108588[/C][C]1.3[/C][/ROW]
[ROW][C]13[/C][C]8.475[/C][C]0.0957427107756335[/C][C]0.199999999999999[/C][/ROW]
[ROW][C]14[/C][C]7.975[/C][C]0.386221007541882[/C][C]0.8[/C][/ROW]
[ROW][C]15[/C][C]8.075[/C][C]0.262995563967658[/C][C]0.6[/C][/ROW]
[ROW][C]16[/C][C]7.975[/C][C]0.262995563967658[/C][C]0.6[/C][/ROW]
[ROW][C]17[/C][C]7.275[/C][C]0.434932945023329[/C][C]0.8[/C][/ROW]
[ROW][C]18[/C][C]7.325[/C][C]0.221735578260835[/C][C]0.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=12843&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=12843&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	7.15	0.1	0.2
2	7.425	0.125830573921179	0.3
3	7.9	0.182574185835055	0.399999999999999
4	7.95	0.191485421551267	0.399999999999999
5	8.225	0.0957427107756344	0.200000000000001
6	8.55	0.191485421551267	0.399999999999999
7	8.525	0.149999999999999	0.299999999999999
8	8.35	0.351188458428424	0.700
9	8.45	0.238047614284762	0.5
10	8.575	0.427200187265876	0.899999999999999
11	8.225	1.01447851956888	1.9
12	8.35	0.635085296108588	1.3
13	8.475	0.0957427107756335	0.199999999999999
14	7.975	0.386221007541882	0.8
15	8.075	0.262995563967658	0.6
16	7.975	0.262995563967658	0.6
17	7.275	0.434932945023329	0.8
18	7.325	0.221735578260835	0.5

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha	-0.352234607721679
beta	0.0808700721658998
S.D.	0.121116698345068
T-STAT	0.667703737559761
p-value	0.513839250029796

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -0.352234607721679 \tabularnewline
beta & 0.0808700721658998 \tabularnewline
S.D. & 0.121116698345068 \tabularnewline
T-STAT & 0.667703737559761 \tabularnewline
p-value & 0.513839250029796 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=12843&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-0.352234607721679[/C][/ROW]
[ROW][C]beta[/C][C]0.0808700721658998[/C][/ROW]
[ROW][C]S.D.[/C][C]0.121116698345068[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.667703737559761[/C][/ROW]
[ROW][C]p-value[/C][C]0.513839250029796[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=12843&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=12843&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	-0.352234607721679
beta	0.0808700721658998
S.D.	0.121116698345068
T-STAT	0.667703737559761
p-value	0.513839250029796

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha	-5.43650642046652
beta	1.92422074244939
S.D.	2.73353795011359
T-STAT	0.703930502362126
p-value	0.491594688315706
Lambda	-0.924220742449393

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -5.43650642046652 \tabularnewline
beta & 1.92422074244939 \tabularnewline
S.D. & 2.73353795011359 \tabularnewline
T-STAT & 0.703930502362126 \tabularnewline
p-value & 0.491594688315706 \tabularnewline
Lambda & -0.924220742449393 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=12843&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-5.43650642046652[/C][/ROW]
[ROW][C]beta[/C][C]1.92422074244939[/C][/ROW]
[ROW][C]S.D.[/C][C]2.73353795011359[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.703930502362126[/C][/ROW]
[ROW][C]p-value[/C][C]0.491594688315706[/C][/ROW]
[ROW][C]Lambda[/C][C]-0.924220742449393[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=12843&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=12843&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	-5.43650642046652
beta	1.92422074244939
S.D.	2.73353795011359
T-STAT	0.703930502362126
p-value	0.491594688315706
Lambda	-0.924220742449393

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