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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_smp.wasp

Title produced by software

Standard Deviation-Mean Plot

Date of computation

Thu, 03 Dec 2009 02:35:58 -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/2009/Dec/03/t1259833895rrz1hxb8tjxmxm7.htm/, Retrieved Sat, 20 Apr 2024 05:06:21 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62653, Retrieved Sat, 20 Apr 2024 05:06:21 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

174

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

-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Standard Deviation-Mean Plot] [] [2009-11-27 14:40:44] [b98453cac15ba1066b407e146608df68]
-    D      [Standard Deviation-Mean Plot] [] [2009-12-03 09:35:58] [aa8eb70c35ea8a87edcd21d6427e653e] [Current]
-    D        [Standard Deviation-Mean Plot] [] [2009-12-03 10:18:02] [4b0ddbda2a8eb8bbc60159112cb39d44] 
-    D          [Standard Deviation-Mean Plot] [] [2009-12-10 11:14:55] [4b0ddbda2a8eb8bbc60159112cb39d44] 
-    D          [Standard Deviation-Mean Plot] [Standard Deviatio...] [2010-12-28 08:29:41] [74be16979710d4c4e7c6647856088456] 

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Boxplots

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=62653&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=62653&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62653&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	596	21.9834648604975	62
2	594.083333333333	18.8701704638123	53
3	540.833333333333	21.9165082377037	67
4	505.416666666667	19.5190272360695	65
5	545.083333333333	30.0225925030811	95

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 596 & 21.9834648604975 & 62 \tabularnewline
2 & 594.083333333333 & 18.8701704638123 & 53 \tabularnewline
3 & 540.833333333333 & 21.9165082377037 & 67 \tabularnewline
4 & 505.416666666667 & 19.5190272360695 & 65 \tabularnewline
5 & 545.083333333333 & 30.0225925030811 & 95 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62653&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]596[/C][C]21.9834648604975[/C][C]62[/C][/ROW]
[ROW][C]2[/C][C]594.083333333333[/C][C]18.8701704638123[/C][C]53[/C][/ROW]
[ROW][C]3[/C][C]540.833333333333[/C][C]21.9165082377037[/C][C]67[/C][/ROW]
[ROW][C]4[/C][C]505.416666666667[/C][C]19.5190272360695[/C][C]65[/C][/ROW]
[ROW][C]5[/C][C]545.083333333333[/C][C]30.0225925030811[/C][C]95[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62653&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62653&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	596	21.9834648604975	62
2	594.083333333333	18.8701704638123	53
3	540.833333333333	21.9165082377037	67
4	505.416666666667	19.5190272360695	65
5	545.083333333333	30.0225925030811	95

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha	30.0560301704364
beta	-0.0136507370528273
S.D.	0.0661204926267587
T-STAT	-0.206452440242451
p-value	0.849655067866967

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 30.0560301704364 \tabularnewline
beta & -0.0136507370528273 \tabularnewline
S.D. & 0.0661204926267587 \tabularnewline
T-STAT & -0.206452440242451 \tabularnewline
p-value & 0.849655067866967 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62653&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]30.0560301704364[/C][/ROW]
[ROW][C]beta[/C][C]-0.0136507370528273[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0661204926267587[/C][/ROW]
[ROW][C]T-STAT[/C][C]-0.206452440242451[/C][/ROW]
[ROW][C]p-value[/C][C]0.849655067866967[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62653&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62653&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	30.0560301704364
beta	-0.0136507370528273
S.D.	0.0661204926267587
T-STAT	-0.206452440242451
p-value	0.849655067866967

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha	4.66229711894392
beta	-0.247590229651153
S.D.	1.51003565744617
T-STAT	-0.163963167644588
p-value	0.88018413740978
Lambda	1.24759022965115

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & 4.66229711894392 \tabularnewline
beta & -0.247590229651153 \tabularnewline
S.D. & 1.51003565744617 \tabularnewline
T-STAT & -0.163963167644588 \tabularnewline
p-value & 0.88018413740978 \tabularnewline
Lambda & 1.24759022965115 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62653&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]4.66229711894392[/C][/ROW]
[ROW][C]beta[/C][C]-0.247590229651153[/C][/ROW]
[ROW][C]S.D.[/C][C]1.51003565744617[/C][/ROW]
[ROW][C]T-STAT[/C][C]-0.163963167644588[/C][/ROW]
[ROW][C]p-value[/C][C]0.88018413740978[/C][/ROW]
[ROW][C]Lambda[/C][C]1.24759022965115[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62653&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62653&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	4.66229711894392
beta	-0.247590229651153
S.D.	1.51003565744617
T-STAT	-0.163963167644588
p-value	0.88018413740978
Lambda	1.24759022965115

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