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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

Tue, 29 Nov 2011 13:49:25 -0500

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/2011/Nov/29/t1322592587kj7ykhisk16s3m6.htm/, Retrieved Wed, 24 Apr 2024 03:35:41 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=148669, Retrieved Wed, 24 Apr 2024 03:35:41 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

KDGP2W83

Estimated Impact

103

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

-       [Standard Deviation-Mean Plot] [Oefening 8.3.3] [2011-11-29 18:49:25] [2a71f74e7f2bee2ce32c293bcda06bce] [Current]
- RMP     [Classical Decomposition] [Oefening 9.2] [2011-12-05 18:18:00] [c772d277bdbc663935846cc4dc843f05] 

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Dataseries X:

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Histogram

Boxplots

1,83
1,83
1,87
1,87
1,86
1,87
1,87
1,89
1,89
1,88
1,88
1,87
1,78
1,79
1,8
1,82
1,82
1,83
1,84
1,84
1,83
1,83
1,83
1,84
1,86
1,85
1,85
1,85
1,84
1,85
1,85
1,83
1,82
1,84
1,85
1,88
1,91
1,93
1,91
1,9
1,9
1,89
1,88
1,88
1,92
1,98
2
2
2,02
2,01
2,05
2,07
2,07
2,04
2,05
2,05
2,04
2,03
2,04
2,04
2,1
2,09
2,1
2,09
2,08
2,1
2,11
2,08
2,09
2,1
2,09
2,09

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' @ jenkins.wessa.net

\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' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148669&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148669&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148669&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' @ jenkins.wessa.net

Standard Deviation-Mean Plot
Section	Mean	Standard Deviation	Range
1	1.85	0.0230940107675851	0.04
2	1.8725	0.0125830573921178	0.0299999999999998
3	1.88	0.00816496580927718	0.0199999999999998
4	1.7975	0.0170782512765993	0.04
5	1.8325	0.00957427107756339	0.02
6	1.8325	0.005	0.01
7	1.8525	0.005	0.01
8	1.8425	0.00957427107756339	0.02
9	1.8475	0.0249999999999999	0.0599999999999998
10	1.9125	0.0125830573921179	0.03
11	1.8875	0.00957427107756339	0.02
12	1.975	0.0378593889720019	0.0800000000000001
13	2.0375	0.0275378527364305	0.0600000000000001
14	2.0525	0.0125830573921179	0.0299999999999998
15	2.0375	0.00500000000000012	0.0100000000000002
16	2.095	0.00577350269189639	0.0100000000000002
17	2.0925	0.0149999999999999	0.0299999999999998
18	2.0925	0.00500000000000012	0.0100000000000002

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 1.85 & 0.0230940107675851 & 0.04 \tabularnewline
2 & 1.8725 & 0.0125830573921178 & 0.0299999999999998 \tabularnewline
3 & 1.88 & 0.00816496580927718 & 0.0199999999999998 \tabularnewline
4 & 1.7975 & 0.0170782512765993 & 0.04 \tabularnewline
5 & 1.8325 & 0.00957427107756339 & 0.02 \tabularnewline
6 & 1.8325 & 0.005 & 0.01 \tabularnewline
7 & 1.8525 & 0.005 & 0.01 \tabularnewline
8 & 1.8425 & 0.00957427107756339 & 0.02 \tabularnewline
9 & 1.8475 & 0.0249999999999999 & 0.0599999999999998 \tabularnewline
10 & 1.9125 & 0.0125830573921179 & 0.03 \tabularnewline
11 & 1.8875 & 0.00957427107756339 & 0.02 \tabularnewline
12 & 1.975 & 0.0378593889720019 & 0.0800000000000001 \tabularnewline
13 & 2.0375 & 0.0275378527364305 & 0.0600000000000001 \tabularnewline
14 & 2.0525 & 0.0125830573921179 & 0.0299999999999998 \tabularnewline
15 & 2.0375 & 0.00500000000000012 & 0.0100000000000002 \tabularnewline
16 & 2.095 & 0.00577350269189639 & 0.0100000000000002 \tabularnewline
17 & 2.0925 & 0.0149999999999999 & 0.0299999999999998 \tabularnewline
18 & 2.0925 & 0.00500000000000012 & 0.0100000000000002 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148669&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]1.85[/C][C]0.0230940107675851[/C][C]0.04[/C][/ROW]
[ROW][C]2[/C][C]1.8725[/C][C]0.0125830573921178[/C][C]0.0299999999999998[/C][/ROW]
[ROW][C]3[/C][C]1.88[/C][C]0.00816496580927718[/C][C]0.0199999999999998[/C][/ROW]
[ROW][C]4[/C][C]1.7975[/C][C]0.0170782512765993[/C][C]0.04[/C][/ROW]
[ROW][C]5[/C][C]1.8325[/C][C]0.00957427107756339[/C][C]0.02[/C][/ROW]
[ROW][C]6[/C][C]1.8325[/C][C]0.005[/C][C]0.01[/C][/ROW]
[ROW][C]7[/C][C]1.8525[/C][C]0.005[/C][C]0.01[/C][/ROW]
[ROW][C]8[/C][C]1.8425[/C][C]0.00957427107756339[/C][C]0.02[/C][/ROW]
[ROW][C]9[/C][C]1.8475[/C][C]0.0249999999999999[/C][C]0.0599999999999998[/C][/ROW]
[ROW][C]10[/C][C]1.9125[/C][C]0.0125830573921179[/C][C]0.03[/C][/ROW]
[ROW][C]11[/C][C]1.8875[/C][C]0.00957427107756339[/C][C]0.02[/C][/ROW]
[ROW][C]12[/C][C]1.975[/C][C]0.0378593889720019[/C][C]0.0800000000000001[/C][/ROW]
[ROW][C]13[/C][C]2.0375[/C][C]0.0275378527364305[/C][C]0.0600000000000001[/C][/ROW]
[ROW][C]14[/C][C]2.0525[/C][C]0.0125830573921179[/C][C]0.0299999999999998[/C][/ROW]
[ROW][C]15[/C][C]2.0375[/C][C]0.00500000000000012[/C][C]0.0100000000000002[/C][/ROW]
[ROW][C]16[/C][C]2.095[/C][C]0.00577350269189639[/C][C]0.0100000000000002[/C][/ROW]
[ROW][C]17[/C][C]2.0925[/C][C]0.0149999999999999[/C][C]0.0299999999999998[/C][/ROW]
[ROW][C]18[/C][C]2.0925[/C][C]0.00500000000000012[/C][C]0.0100000000000002[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148669&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148669&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	1.85	0.0230940107675851	0.04
2	1.8725	0.0125830573921178	0.0299999999999998
3	1.88	0.00816496580927718	0.0199999999999998
4	1.7975	0.0170782512765993	0.04
5	1.8325	0.00957427107756339	0.02
6	1.8325	0.005	0.01
7	1.8525	0.005	0.01
8	1.8425	0.00957427107756339	0.02
9	1.8475	0.0249999999999999	0.0599999999999998
10	1.9125	0.0125830573921179	0.03
11	1.8875	0.00957427107756339	0.02
12	1.975	0.0378593889720019	0.0800000000000001
13	2.0375	0.0275378527364305	0.0600000000000001
14	2.0525	0.0125830573921179	0.0299999999999998
15	2.0375	0.00500000000000012	0.0100000000000002
16	2.095	0.00577350269189639	0.0100000000000002
17	2.0925	0.0149999999999999	0.0299999999999998
18	2.0925	0.00500000000000012	0.0100000000000002

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha	0.0168540228179889
beta	-0.00164968246797835
S.D.	0.0217949752244541
T-STAT	-0.0756909540382221
p-value	0.94060331496923

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 0.0168540228179889 \tabularnewline
beta & -0.00164968246797835 \tabularnewline
S.D. & 0.0217949752244541 \tabularnewline
T-STAT & -0.0756909540382221 \tabularnewline
p-value & 0.94060331496923 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148669&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]0.0168540228179889[/C][/ROW]
[ROW][C]beta[/C][C]-0.00164968246797835[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0217949752244541[/C][/ROW]
[ROW][C]T-STAT[/C][C]-0.0756909540382221[/C][/ROW]
[ROW][C]p-value[/C][C]0.94060331496923[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148669&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148669&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	0.0168540228179889
beta	-0.00164968246797835
S.D.	0.0217949752244541
T-STAT	-0.0756909540382221
p-value	0.94060331496923

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha	-3.78321558233607
beta	-1.07492389151325
S.D.	2.93725433974683
T-STAT	-0.365962142592631
p-value	0.719187020822528
Lambda	2.07492389151325

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -3.78321558233607 \tabularnewline
beta & -1.07492389151325 \tabularnewline
S.D. & 2.93725433974683 \tabularnewline
T-STAT & -0.365962142592631 \tabularnewline
p-value & 0.719187020822528 \tabularnewline
Lambda & 2.07492389151325 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=148669&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-3.78321558233607[/C][/ROW]
[ROW][C]beta[/C][C]-1.07492389151325[/C][/ROW]
[ROW][C]S.D.[/C][C]2.93725433974683[/C][/ROW]
[ROW][C]T-STAT[/C][C]-0.365962142592631[/C][/ROW]
[ROW][C]p-value[/C][C]0.719187020822528[/C][/ROW]
[ROW][C]Lambda[/C][C]2.07492389151325[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=148669&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=148669&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	-3.78321558233607
beta	-1.07492389151325
S.D.	2.93725433974683
T-STAT	-0.365962142592631
p-value	0.719187020822528
Lambda	2.07492389151325

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