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Author's title

Author*Unverified author*
R Software Modulerwasp_smp.wasp
Title produced by softwareStandard Deviation-Mean Plot
Date of computationWed, 30 Dec 2009 05:44:50 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/30/t1262177153ao3bck9ysb0sm0u.htm/, Retrieved Mon, 29 Apr 2024 05:32:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=71261, Retrieved Mon, 29 Apr 2024 05:32:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W83
Estimated Impact138
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Standard Deviation-Mean Plot] [] [2009-12-30 12:44:50] [d3c74fcd05a317afdc84de11f936034f] [Current]
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Dataseries X:
8.55
8.56
8.57
8.59
8.61
8.62
8.62
8.63
8.71
8.72
8.74
8.75
8.79
8.82
8.82
8.84
8.86
8.86
8.85
8.86
8.86
8.87
8.88
8.9
8.91
8.96
8.98
8.99
9
9
9
9.01
9.01
8.99
8.99
8.99
9
9
9.02
9.05
9.05
9.05
9.06
9.06
9.08
9.07
9.06
9.08
9.07
9.11
9.15
9.15
9.17
9.2
9.23
9.26
9.27
9.28
9.29
9.29
9.11
9.06
9.11
9.13
9.13
9.19
9.2
9.23
9.24
9.28
9.32
9.32
9.32
9.36
9.37
9.38
9.41
9.44
9.44
9.44
9.47
9.48
9.56
9.58
9.56
9.58
9.7
9.74
9.76
9.78
9.84
9.88
9.96
9.97
9.96
9.96




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=71261&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=71261&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71261&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
18.639166666666670.07204270618981170.199999999999999
28.850833333333330.02968266507678540.110000000000001
38.985833333333330.0274551976643380.0999999999999996
49.048333333333330.02757908737804910.08
59.205833333333330.07537281078784690.219999999999999
69.193333333333330.08679477710861020.26
79.43750.07782556252169470.26
89.80750.1460463811757950.41

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 8.63916666666667 & 0.0720427061898117 & 0.199999999999999 \tabularnewline
2 & 8.85083333333333 & 0.0296826650767854 & 0.110000000000001 \tabularnewline
3 & 8.98583333333333 & 0.027455197664338 & 0.0999999999999996 \tabularnewline
4 & 9.04833333333333 & 0.0275790873780491 & 0.08 \tabularnewline
5 & 9.20583333333333 & 0.0753728107878469 & 0.219999999999999 \tabularnewline
6 & 9.19333333333333 & 0.0867947771086102 & 0.26 \tabularnewline
7 & 9.4375 & 0.0778255625216947 & 0.26 \tabularnewline
8 & 9.8075 & 0.146046381175795 & 0.41 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71261&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]8.63916666666667[/C][C]0.0720427061898117[/C][C]0.199999999999999[/C][/ROW]
[ROW][C]2[/C][C]8.85083333333333[/C][C]0.0296826650767854[/C][C]0.110000000000001[/C][/ROW]
[ROW][C]3[/C][C]8.98583333333333[/C][C]0.027455197664338[/C][C]0.0999999999999996[/C][/ROW]
[ROW][C]4[/C][C]9.04833333333333[/C][C]0.0275790873780491[/C][C]0.08[/C][/ROW]
[ROW][C]5[/C][C]9.20583333333333[/C][C]0.0753728107878469[/C][C]0.219999999999999[/C][/ROW]
[ROW][C]6[/C][C]9.19333333333333[/C][C]0.0867947771086102[/C][C]0.26[/C][/ROW]
[ROW][C]7[/C][C]9.4375[/C][C]0.0778255625216947[/C][C]0.26[/C][/ROW]
[ROW][C]8[/C][C]9.8075[/C][C]0.146046381175795[/C][C]0.41[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71261&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71261&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
SectionMeanStandard DeviationRange
18.639166666666670.07204270618981170.199999999999999
28.850833333333330.02968266507678540.110000000000001
38.985833333333330.0274551976643380.0999999999999996
49.048333333333330.02757908737804910.08
59.205833333333330.07537281078784690.219999999999999
69.193333333333330.08679477710861020.26
79.43750.07782556252169470.26
89.80750.1460463811757950.41







Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-0.693256978688318
beta0.0832170795755378
S.D.0.0305207317735201
T-STAT2.72657550261417
p-value0.0343417049650297

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -0.693256978688318 \tabularnewline
beta & 0.0832170795755378 \tabularnewline
S.D. & 0.0305207317735201 \tabularnewline
T-STAT & 2.72657550261417 \tabularnewline
p-value & 0.0343417049650297 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71261&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-0.693256978688318[/C][/ROW]
[ROW][C]beta[/C][C]0.0832170795755378[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0305207317735201[/C][/ROW]
[ROW][C]T-STAT[/C][C]2.72657550261417[/C][/ROW]
[ROW][C]p-value[/C][C]0.0343417049650297[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71261&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71261&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-0.693256978688318
beta0.0832170795755378
S.D.0.0305207317735201
T-STAT2.72657550261417
p-value0.0343417049650297







Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-25.2857864869262
beta10.1375077378883
S.D.5.1203440971145
T-STAT1.97984892140376
p-value0.0950438288935669
Lambda-9.13750773788828

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -25.2857864869262 \tabularnewline
beta & 10.1375077378883 \tabularnewline
S.D. & 5.1203440971145 \tabularnewline
T-STAT & 1.97984892140376 \tabularnewline
p-value & 0.0950438288935669 \tabularnewline
Lambda & -9.13750773788828 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71261&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-25.2857864869262[/C][/ROW]
[ROW][C]beta[/C][C]10.1375077378883[/C][/ROW]
[ROW][C]S.D.[/C][C]5.1203440971145[/C][/ROW]
[ROW][C]T-STAT[/C][C]1.97984892140376[/C][/ROW]
[ROW][C]p-value[/C][C]0.0950438288935669[/C][/ROW]
[ROW][C]Lambda[/C][C]-9.13750773788828[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71261&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71261&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-25.2857864869262
beta10.1375077378883
S.D.5.1203440971145
T-STAT1.97984892140376
p-value0.0950438288935669
Lambda-9.13750773788828



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')