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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_smp.wasp
Title produced by softwareStandard Deviation-Mean Plot
Date of computationMon, 25 May 2015 23:08:47 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/May/25/t14325917586cybzn7mwqdhfet.htm/, Retrieved Wed, 08 May 2024 00:52:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279368, Retrieved Wed, 08 May 2024 00:52:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Standard Deviation-Mean Plot] [sd mean plot] [2015-05-25 22:08:47] [b43493158838656c32486372ca9c54cf] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100.8
100.66
101.44
102.17
102.75
104.28
104.96
105.16
105.29
105.15
105.23
104.45
104.6
105.1
105.94
106.2
106.89
107.57
107.42
107.2
107.08
107.17
107.23
106.61
106.97
108.23
109.8
111.93
113.51
115.27
115.58
115.55
115.44
114.93
115.09
113.78
114.51
114.85
116.12
115.47
115.93
116.6
116.98
117.37
117.48
117.18
117.03
114.95
115.64
116.02
116.07
114.5
114.36
116
116.16
116.42
116.78
115.74
115.44
113.52
113.37
114.35
114.11
113.47
114.33
115.76
116.2
116.48
116.53
116.45
116.23
114.46
115.08
115.57
116.17
115.21
114.97
114.24
114.16
117.2
117.71
117.14
116.67
114.71
115.92
117.74
118.38
118.59
119.66
121.2
121.4
122.66
122.95
122.9
123.29
122.02

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=279368&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=279368&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279368&T=0

As an alternative you can also use a QR Code:  
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'Gertrude Mary Cox' @ cox.wessa.net






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
1103.5283333333331.839925064350244.63000000000001
2106.5841666666670.9463946739008432.97
3113.0066666666673.070757482308158.61
4116.2058333333331.056490402084642.97
5115.5541666666670.9549531957434393.26000000000001
6115.1451.238213522488243.16
7115.7358333333331.212349022152933.55
8120.5591666666672.435022711610847.37

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 103.528333333333 & 1.83992506435024 & 4.63000000000001 \tabularnewline
2 & 106.584166666667 & 0.946394673900843 & 2.97 \tabularnewline
3 & 113.006666666667 & 3.07075748230815 & 8.61 \tabularnewline
4 & 116.205833333333 & 1.05649040208464 & 2.97 \tabularnewline
5 & 115.554166666667 & 0.954953195743439 & 3.26000000000001 \tabularnewline
6 & 115.145 & 1.23821352248824 & 3.16 \tabularnewline
7 & 115.735833333333 & 1.21234902215293 & 3.55 \tabularnewline
8 & 120.559166666667 & 2.43502271161084 & 7.37 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279368&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]103.528333333333[/C][C]1.83992506435024[/C][C]4.63000000000001[/C][/ROW]
[ROW][C]2[/C][C]106.584166666667[/C][C]0.946394673900843[/C][C]2.97[/C][/ROW]
[ROW][C]3[/C][C]113.006666666667[/C][C]3.07075748230815[/C][C]8.61[/C][/ROW]
[ROW][C]4[/C][C]116.205833333333[/C][C]1.05649040208464[/C][C]2.97[/C][/ROW]
[ROW][C]5[/C][C]115.554166666667[/C][C]0.954953195743439[/C][C]3.26000000000001[/C][/ROW]
[ROW][C]6[/C][C]115.145[/C][C]1.23821352248824[/C][C]3.16[/C][/ROW]
[ROW][C]7[/C][C]115.735833333333[/C][C]1.21234902215293[/C][C]3.55[/C][/ROW]
[ROW][C]8[/C][C]120.559166666667[/C][C]2.43502271161084[/C][C]7.37[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279368&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279368&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
1103.5283333333331.839925064350244.63000000000001
2106.5841666666670.9463946739008432.97
3113.0066666666673.070757482308158.61
4116.2058333333331.056490402084642.97
5115.5541666666670.9549531957434393.26000000000001
6115.1451.238213522488243.16
7115.7358333333331.212349022152933.55
8120.5591666666672.435022711610847.37






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha0.00697639542766705
beta0.0140108422929207
S.D.0.0575375976874493
T-STAT0.243507599483544
p-value0.815724127173705

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 0.00697639542766705 \tabularnewline
beta & 0.0140108422929207 \tabularnewline
S.D. & 0.0575375976874493 \tabularnewline
T-STAT & 0.243507599483544 \tabularnewline
p-value & 0.815724127173705 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279368&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]0.00697639542766705[/C][/ROW]
[ROW][C]beta[/C][C]0.0140108422929207[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0575375976874493[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.243507599483544[/C][/ROW]
[ROW][C]p-value[/C][C]0.815724127173705[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279368&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279368&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha0.00697639542766705
beta0.0140108422929207
S.D.0.0575375976874493
T-STAT0.243507599483544
p-value0.815724127173705






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-2.94287835966447
beta0.701135169615319
S.D.3.64688185312658
T-STAT0.192256069116749
p-value0.853883574597059
Lambda0.298864830384681

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -2.94287835966447 \tabularnewline
beta & 0.701135169615319 \tabularnewline
S.D. & 3.64688185312658 \tabularnewline
T-STAT & 0.192256069116749 \tabularnewline
p-value & 0.853883574597059 \tabularnewline
Lambda & 0.298864830384681 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279368&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-2.94287835966447[/C][/ROW]
[ROW][C]beta[/C][C]0.701135169615319[/C][/ROW]
[ROW][C]S.D.[/C][C]3.64688185312658[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.192256069116749[/C][/ROW]
[ROW][C]p-value[/C][C]0.853883574597059[/C][/ROW]
[ROW][C]Lambda[/C][C]0.298864830384681[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279368&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279368&T=3

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-2.94287835966447
beta0.701135169615319
S.D.3.64688185312658
T-STAT0.192256069116749
p-value0.853883574597059
Lambda0.298864830384681


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
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')