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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

Sat, 15 Dec 2012 04:35:00 -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/2012/Dec/15/t1355564119qhxbo0lccm1e193.htm/, Retrieved Fri, 01 Nov 2024 00:37:05 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=199792, Retrieved Fri, 01 Nov 2024 00:37:05 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

176

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] [Unemployment] [2010-11-29 10:34:47] [b98453cac15ba1066b407e146608df68]
- R PD    [Standard Deviation-Mean Plot] [WS9 SD Mean Plot] [2012-12-04 16:02:48] [74be16979710d4c4e7c6647856088456]
-    D        [Standard Deviation-Mean Plot] [Maandelijks geboo...] [2012-12-15 09:35:00] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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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=199792&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=199792&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199792&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	9699.66666666667	344.354820532895	908
2	9614.33333333333	439.930641916393	1433
3	9424.66666666667	402.459559421437	1243
4	9500.41666666667	426.43436206703	1677
5	9774.58333333333	411.655075901113	1319
6	9968.5	374.722321435244	1369
7	10210.75	476.271336911677	1561
8	10341.25	495.905989074542	1672
9	10600.4166666667	458.828440573149	1635
10	10599.8333333333	472.24951673941	1745

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 9699.66666666667 & 344.354820532895 & 908 \tabularnewline
2 & 9614.33333333333 & 439.930641916393 & 1433 \tabularnewline
3 & 9424.66666666667 & 402.459559421437 & 1243 \tabularnewline
4 & 9500.41666666667 & 426.43436206703 & 1677 \tabularnewline
5 & 9774.58333333333 & 411.655075901113 & 1319 \tabularnewline
6 & 9968.5 & 374.722321435244 & 1369 \tabularnewline
7 & 10210.75 & 476.271336911677 & 1561 \tabularnewline
8 & 10341.25 & 495.905989074542 & 1672 \tabularnewline
9 & 10600.4166666667 & 458.828440573149 & 1635 \tabularnewline
10 & 10599.8333333333 & 472.24951673941 & 1745 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199792&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]9699.66666666667[/C][C]344.354820532895[/C][C]908[/C][/ROW]
[ROW][C]2[/C][C]9614.33333333333[/C][C]439.930641916393[/C][C]1433[/C][/ROW]
[ROW][C]3[/C][C]9424.66666666667[/C][C]402.459559421437[/C][C]1243[/C][/ROW]
[ROW][C]4[/C][C]9500.41666666667[/C][C]426.43436206703[/C][C]1677[/C][/ROW]
[ROW][C]5[/C][C]9774.58333333333[/C][C]411.655075901113[/C][C]1319[/C][/ROW]
[ROW][C]6[/C][C]9968.5[/C][C]374.722321435244[/C][C]1369[/C][/ROW]
[ROW][C]7[/C][C]10210.75[/C][C]476.271336911677[/C][C]1561[/C][/ROW]
[ROW][C]8[/C][C]10341.25[/C][C]495.905989074542[/C][C]1672[/C][/ROW]
[ROW][C]9[/C][C]10600.4166666667[/C][C]458.828440573149[/C][C]1635[/C][/ROW]
[ROW][C]10[/C][C]10599.8333333333[/C][C]472.24951673941[/C][C]1745[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199792&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199792&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	9699.66666666667	344.354820532895	908
2	9614.33333333333	439.930641916393	1433
3	9424.66666666667	402.459559421437	1243
4	9500.41666666667	426.43436206703	1677
5	9774.58333333333	411.655075901113	1319
6	9968.5	374.722321435244	1369
7	10210.75	476.271336911677	1561
8	10341.25	495.905989074542	1672
9	10600.4166666667	458.828440573149	1635
10	10599.8333333333	472.24951673941	1745

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha	-257.471755896638
beta	0.0689584383545895
S.D.	0.0297960314177617
T-STAT	2.31434976650893
p-value	0.0493528268369584

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -257.471755896638 \tabularnewline
beta & 0.0689584383545895 \tabularnewline
S.D. & 0.0297960314177617 \tabularnewline
T-STAT & 2.31434976650893 \tabularnewline
p-value & 0.0493528268369584 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199792&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-257.471755896638[/C][/ROW]
[ROW][C]beta[/C][C]0.0689584383545895[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0297960314177617[/C][/ROW]
[ROW][C]T-STAT[/C][C]2.31434976650893[/C][/ROW]
[ROW][C]p-value[/C][C]0.0493528268369584[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199792&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199792&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	-257.471755896638
beta	0.0689584383545895
S.D.	0.0297960314177617
T-STAT	2.31434976650893
p-value	0.0493528268369584

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha	-8.58321905846633
beta	1.59032793402499
S.D.	0.733155186285718
T-STAT	2.16915594920885
p-value	0.0618998955659398
Lambda	-0.590327934024991

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -8.58321905846633 \tabularnewline
beta & 1.59032793402499 \tabularnewline
S.D. & 0.733155186285718 \tabularnewline
T-STAT & 2.16915594920885 \tabularnewline
p-value & 0.0618998955659398 \tabularnewline
Lambda & -0.590327934024991 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199792&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-8.58321905846633[/C][/ROW]
[ROW][C]beta[/C][C]1.59032793402499[/C][/ROW]
[ROW][C]S.D.[/C][C]0.733155186285718[/C][/ROW]
[ROW][C]T-STAT[/C][C]2.16915594920885[/C][/ROW]
[ROW][C]p-value[/C][C]0.0618998955659398[/C][/ROW]
[ROW][C]Lambda[/C][C]-0.590327934024991[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199792&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199792&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	-8.58321905846633
beta	1.59032793402499
S.D.	0.733155186285718
T-STAT	2.16915594920885
p-value	0.0618998955659398
Lambda	-0.590327934024991

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