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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_smp.wasp
Title produced by softwareStandard Deviation-Mean Plot
Date of computationFri, 27 Nov 2009 14:44:00 -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/Nov/27/t1259358402w4yp0l5hslxbq3a.htm/, Retrieved Sat, 27 Apr 2024 19:56:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=61298, Retrieved Sat, 27 Apr 2024 19:56:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Standard Deviation-Mean Plot] [Identifying Integ...] [2009-11-22 12:50:05] [b98453cac15ba1066b407e146608df68]
-    D          [Standard Deviation-Mean Plot] [Shwws8_v4] [2009-11-27 21:44:00] [93b66894f6318f3da4fcda772f2ffa6f] [Current]
-    D            [Standard Deviation-Mean Plot] [Paper] [2009-12-10 20:22:33] [5f89c040fdf1f8599c99d7f78a662321]
- RMPD            [ARIMA Backward Selection] [Paper] [2009-12-10 20:41:37] [5f89c040fdf1f8599c99d7f78a662321]
- RMPD            [ARIMA Backward Selection] [Paper] [2009-12-10 20:51:36] [5f89c040fdf1f8599c99d7f78a662321]
- RMPD            [ARIMA Backward Selection] [Paper] [2009-12-10 21:07:34] [5f89c040fdf1f8599c99d7f78a662321]
- RMPD            [ARIMA Forecasting] [Paper] [2009-12-10 21:16:20] [5f89c040fdf1f8599c99d7f78a662321]
-   PD            [Standard Deviation-Mean Plot] [Paper] [2009-12-16 01:46:22] [5f89c040fdf1f8599c99d7f78a662321]
-   PD            [Standard Deviation-Mean Plot] [Paper] [2009-12-16 01:57:21] [5f89c040fdf1f8599c99d7f78a662321]
-    D              [Standard Deviation-Mean Plot] [Paper] [2009-12-16 02:23:56] [5f89c040fdf1f8599c99d7f78a662321]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102,1
102,86
102,99
103,73
105,02
104,43
104,63
104,93
105,87
105,66
106,76
106
107,22
107,33
107,11
108,86
107,72
107,88
108,38
107,72
108,41
109,9
111,45
112,18
113,34
113,46
114,06
115,54
116,39
115,94
116,97
115,94
115,91
116,43
116,26
116,35
117,9
117,7
117,53
117,86
117,65
116,51
115,93
115,31
115

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'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=61298&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=61298&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61298&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'Gwilym Jenkins' @ 72.249.127.135






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
1104.5816666666671.423815829084484.66000000000001
2108.681.665391026974535.07000000000001
3115.5491666666671.226476537472163.63000000000000

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 104.581666666667 & 1.42381582908448 & 4.66000000000001 \tabularnewline
2 & 108.68 & 1.66539102697453 & 5.07000000000001 \tabularnewline
3 & 115.549166666667 & 1.22647653747216 & 3.63000000000000 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61298&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]104.581666666667[/C][C]1.42381582908448[/C][C]4.66000000000001[/C][/ROW]
[ROW][C]2[/C][C]108.68[/C][C]1.66539102697453[/C][C]5.07000000000001[/C][/ROW]
[ROW][C]3[/C][C]115.549166666667[/C][C]1.22647653747216[/C][C]3.63000000000000[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61298&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61298&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
1104.5816666666671.423815829084484.66000000000001
2108.681.665391026974535.07000000000001
3115.5491666666671.226476537472163.63000000000000






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha3.93034591356934
beta-0.0227345135541769
S.D.0.0325061830241478
T-STAT-0.69939043711432
p-value0.611460292970953

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 3.93034591356934 \tabularnewline
beta & -0.0227345135541769 \tabularnewline
S.D. & 0.0325061830241478 \tabularnewline
T-STAT & -0.69939043711432 \tabularnewline
p-value & 0.611460292970953 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61298&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]3.93034591356934[/C][/ROW]
[ROW][C]beta[/C][C]-0.0227345135541769[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0325061830241478[/C][/ROW]
[ROW][C]T-STAT[/C][C]-0.69939043711432[/C][/ROW]
[ROW][C]p-value[/C][C]0.611460292970953[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61298&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61298&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)
alpha3.93034591356934
beta-0.0227345135541769
S.D.0.0325061830241478
T-STAT-0.69939043711432
p-value0.611460292970953






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha8.89548891934648
beta-1.81848308039237
S.D.2.43776243933222
T-STAT-0.745964024653079
p-value0.591982063051026
Lambda2.81848308039237

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & 8.89548891934648 \tabularnewline
beta & -1.81848308039237 \tabularnewline
S.D. & 2.43776243933222 \tabularnewline
T-STAT & -0.745964024653079 \tabularnewline
p-value & 0.591982063051026 \tabularnewline
Lambda & 2.81848308039237 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=61298&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]8.89548891934648[/C][/ROW]
[ROW][C]beta[/C][C]-1.81848308039237[/C][/ROW]
[ROW][C]S.D.[/C][C]2.43776243933222[/C][/ROW]
[ROW][C]T-STAT[/C][C]-0.745964024653079[/C][/ROW]
[ROW][C]p-value[/C][C]0.591982063051026[/C][/ROW]
[ROW][C]Lambda[/C][C]2.81848308039237[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=61298&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=61298&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)
alpha8.89548891934648
beta-1.81848308039237
S.D.2.43776243933222
T-STAT-0.745964024653079
p-value0.591982063051026
Lambda2.81848308039237


Figures (Output of Computation)

Input Parameters & R Code

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')