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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

Mon, 23 Apr 2012 12:39:35 -0400

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/2012/Apr/23/t1335199201yk7sgf30raduhzy.htm/, Retrieved Fri, 03 May 2024 18:52:51 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=164718, Retrieved Fri, 03 May 2024 18:52:51 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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

-       [Standard Deviation-Mean Plot] [standard deviatio...] [2012-04-23 16:39:35] [91562a5fde803f4db5c5e8dd5d4cb92f] [Current]

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Dataseries X:

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Histogram

Boxplots

1.45
1.45
1.45
1.44
1.44
1.44
1.44
1.45
1.44
1.45
1.46
1.46
1.47
1.46
1.46
1.45
1.45
1.45
1.44
1.45
1.44
1.45
1.47
1.48
1.5
1.5
1.52
1.54
1.55
1.54
1.55
1.54
1.57
1.61
1.62
1.64
1.63
1.63
1.67
1.7
1.69
1.68
1.67
1.68
1.66
1.65
1.65
1.66
1.67
1.67
1.65
1.65
1.65
1.65
1.66
1.66
1.67
1.67
1.67
1.66

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	'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164718&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164718&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164718&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	'Gertrude Mary Cox' @ cox.wessa.net

Standard Deviation-Mean Plot
Section	Mean	Standard Deviation	Range
1	1.4475	0.0075377836144441	0.02
2	1.45583333333333	0.0124011240937215	0.04
3	1.55666666666667	0.045393898935937	0.14
4	1.66416666666667	0.0219330938551908	0.0700000000000001
5	1.66083333333333	0.00900336637378521	0.02

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 1.4475 & 0.0075377836144441 & 0.02 \tabularnewline
2 & 1.45583333333333 & 0.0124011240937215 & 0.04 \tabularnewline
3 & 1.55666666666667 & 0.045393898935937 & 0.14 \tabularnewline
4 & 1.66416666666667 & 0.0219330938551908 & 0.0700000000000001 \tabularnewline
5 & 1.66083333333333 & 0.00900336637378521 & 0.02 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164718&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]1.4475[/C][C]0.0075377836144441[/C][C]0.02[/C][/ROW]
[ROW][C]2[/C][C]1.45583333333333[/C][C]0.0124011240937215[/C][C]0.04[/C][/ROW]
[ROW][C]3[/C][C]1.55666666666667[/C][C]0.045393898935937[/C][C]0.14[/C][/ROW]
[ROW][C]4[/C][C]1.66416666666667[/C][C]0.0219330938551908[/C][C]0.0700000000000001[/C][/ROW]
[ROW][C]5[/C][C]1.66083333333333[/C][C]0.00900336637378521[/C][C]0.02[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164718&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164718&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	1.4475	0.0075377836144441	0.02
2	1.45583333333333	0.0124011240937215	0.04
3	1.55666666666667	0.045393898935937	0.14
4	1.66416666666667	0.0219330938551908	0.0700000000000001
5	1.66083333333333	0.00900336637378521	0.02

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha	-0.0223997421278667
beta	0.0267524698153387
S.D.	0.084273779058021
T-STAT	0.317447136159874
p-value	0.771715652126995

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -0.0223997421278667 \tabularnewline
beta & 0.0267524698153387 \tabularnewline
S.D. & 0.084273779058021 \tabularnewline
T-STAT & 0.317447136159874 \tabularnewline
p-value & 0.771715652126995 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164718&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-0.0223997421278667[/C][/ROW]
[ROW][C]beta[/C][C]0.0267524698153387[/C][/ROW]
[ROW][C]S.D.[/C][C]0.084273779058021[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.317447136159874[/C][/ROW]
[ROW][C]p-value[/C][C]0.771715652126995[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164718&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164718&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	-0.0223997421278667
beta	0.0267524698153387
S.D.	0.084273779058021
T-STAT	0.317447136159874
p-value	0.771715652126995

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha	-5.5028803303621
beta	3.00022314554987
S.D.	5.97662496872903
T-STAT	0.501992874113346
p-value	0.650200470557174
Lambda	-2.00022314554987

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -5.5028803303621 \tabularnewline
beta & 3.00022314554987 \tabularnewline
S.D. & 5.97662496872903 \tabularnewline
T-STAT & 0.501992874113346 \tabularnewline
p-value & 0.650200470557174 \tabularnewline
Lambda & -2.00022314554987 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164718&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-5.5028803303621[/C][/ROW]
[ROW][C]beta[/C][C]3.00022314554987[/C][/ROW]
[ROW][C]S.D.[/C][C]5.97662496872903[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.501992874113346[/C][/ROW]
[ROW][C]p-value[/C][C]0.650200470557174[/C][/ROW]
[ROW][C]Lambda[/C][C]-2.00022314554987[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164718&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164718&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	-5.5028803303621
beta	3.00022314554987
S.D.	5.97662496872903
T-STAT	0.501992874113346
p-value	0.650200470557174
Lambda	-2.00022314554987

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