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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 computationWed, 17 Dec 2008 12:32:55 -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/2008/Dec/17/t1229542681crubq1qv9q3hqc9.htm/, Retrieved Sat, 18 May 2024 11:44:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34517, Retrieved Sat, 18 May 2024 11:44:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132

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] [SDM Plot: Bel 20] [2008-12-17 19:32:55] [14a75ec03b2c0d8ddd8b141a7b1594fd] [Current]
-    D    [Standard Deviation-Mean Plot] [SDM Plot: Dow Jones] [2008-12-17 19:41:10] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
-    D      [Standard Deviation-Mean Plot] [SDM Plot: Goudprijs] [2008-12-17 19:46:13] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
-    D        [Standard Deviation-Mean Plot] [SDM Plot: Prijs r...] [2008-12-17 19:49:33] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3032,93
3045,78
3110,52
3013,24
2987,1
2995,55
2833,18
2848,96
2794,83
2845,26
2915,02
2892,63
2604,42
2641,65
2659,81
2638,53
2720,25
2745,88
2735,7
2811,7
2799,43
2555,28
2304,98
2214,95
2065,81
1940,49
2042
1995,37
1946,81
1765,9
1635,25
1833,42
1910,43
1959,67
1969,6
2061,41
2093,48
2120,88
2174,56
2196,72
2350,44
2440,25
2408,64
2472,81
2407,6
2454,62
2448,05
2497,84
2645,64
2756,76
2849,27
2921,44
2981,85
3080,58
3106,22
3119,31
3061,26
3097,31
3161,69
3257,16
3277,01
3295,32
3363,99
3494,17
3667,03
3813,06
3917,96
3895,51
3801,06
3570,12
3701,61
3862,27
3970,1
4138,52
4199,75
4290,89
4443,91
4502,64
4356,98
4591,27
4696,96
4621,4
4562,84
4202,52
4296,49
4435,23
4105,18
4116,68
3844,49
3720,98
3674,4
3857,62
3801,06
3504,37
3032,6
3047,03
2962,34
2197,82
2014,45

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34517&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34517&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34517&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
12942.91666666667100.943457740490315.69
22619.38166666667185.460897855406596.75
31927.18127.490780843165430.56
42338.82416666667148.774820722663404.36
53003.2075178.718042489738611.52
63638.25916666667234.565047131081640.95
74381.48166666667224.558581052345726.86
83786.34416666667438.1558971926511402.63

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 2942.91666666667 & 100.943457740490 & 315.69 \tabularnewline
2 & 2619.38166666667 & 185.460897855406 & 596.75 \tabularnewline
3 & 1927.18 & 127.490780843165 & 430.56 \tabularnewline
4 & 2338.82416666667 & 148.774820722663 & 404.36 \tabularnewline
5 & 3003.2075 & 178.718042489738 & 611.52 \tabularnewline
6 & 3638.25916666667 & 234.565047131081 & 640.95 \tabularnewline
7 & 4381.48166666667 & 224.558581052345 & 726.86 \tabularnewline
8 & 3786.34416666667 & 438.155897192651 & 1402.63 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34517&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]2942.91666666667[/C][C]100.943457740490[/C][C]315.69[/C][/ROW]
[ROW][C]2[/C][C]2619.38166666667[/C][C]185.460897855406[/C][C]596.75[/C][/ROW]
[ROW][C]3[/C][C]1927.18[/C][C]127.490780843165[/C][C]430.56[/C][/ROW]
[ROW][C]4[/C][C]2338.82416666667[/C][C]148.774820722663[/C][C]404.36[/C][/ROW]
[ROW][C]5[/C][C]3003.2075[/C][C]178.718042489738[/C][C]611.52[/C][/ROW]
[ROW][C]6[/C][C]3638.25916666667[/C][C]234.565047131081[/C][C]640.95[/C][/ROW]
[ROW][C]7[/C][C]4381.48166666667[/C][C]224.558581052345[/C][C]726.86[/C][/ROW]
[ROW][C]8[/C][C]3786.34416666667[/C][C]438.155897192651[/C][C]1402.63[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34517&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34517&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
12942.91666666667100.943457740490315.69
22619.38166666667185.460897855406596.75
31927.18127.490780843165430.56
42338.82416666667148.774820722663404.36
53003.2075178.718042489738611.52
63638.25916666667234.565047131081640.95
74381.48166666667224.558581052345726.86
83786.34416666667438.1558971926511402.63






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-37.1344677485077
beta0.0785686779499216
S.D.0.0416879339767549
T-STAT1.88468629780817
p-value0.108448124766070

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -37.1344677485077 \tabularnewline
beta & 0.0785686779499216 \tabularnewline
S.D. & 0.0416879339767549 \tabularnewline
T-STAT & 1.88468629780817 \tabularnewline
p-value & 0.108448124766070 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34517&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-37.1344677485077[/C][/ROW]
[ROW][C]beta[/C][C]0.0785686779499216[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0416879339767549[/C][/ROW]
[ROW][C]T-STAT[/C][C]1.88468629780817[/C][/ROW]
[ROW][C]p-value[/C][C]0.108448124766070[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34517&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34517&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)
alpha-37.1344677485077
beta0.0785686779499216
S.D.0.0416879339767549
T-STAT1.88468629780817
p-value0.108448124766070






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-3.38695233692412
beta1.07676438568070
S.D.0.510128656904518
T-STAT2.11077023630578
p-value0.079288354489805
Lambda-0.076764385680697

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -3.38695233692412 \tabularnewline
beta & 1.07676438568070 \tabularnewline
S.D. & 0.510128656904518 \tabularnewline
T-STAT & 2.11077023630578 \tabularnewline
p-value & 0.079288354489805 \tabularnewline
Lambda & -0.076764385680697 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34517&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-3.38695233692412[/C][/ROW]
[ROW][C]beta[/C][C]1.07676438568070[/C][/ROW]
[ROW][C]S.D.[/C][C]0.510128656904518[/C][/ROW]
[ROW][C]T-STAT[/C][C]2.11077023630578[/C][/ROW]
[ROW][C]p-value[/C][C]0.079288354489805[/C][/ROW]
[ROW][C]Lambda[/C][C]-0.076764385680697[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34517&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34517&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-3.38695233692412
beta1.07676438568070
S.D.0.510128656904518
T-STAT2.11077023630578
p-value0.079288354489805
Lambda-0.076764385680697


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')