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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 computationWed, 26 Nov 2014 20:25:23 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Nov/26/t14170335429xylmds35adjh6e.htm/, Retrieved Sun, 19 May 2024 14:40:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=259431, Retrieved Sun, 19 May 2024 14:40:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact84

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] [] [2014-11-26 20:25:23] [5cac5f97919544233533b60e31cabb24] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8378669
7557530
8656721
7729873
7067002
7222189
6758161
6745665
8203660
8799755
7995151
6844694
7400186
6146183
6793027
5815146
5993505
5838016
5926815
5642890
7120621
7781743
7638921
5886070
7358890
6981189
8423532
6819313
6727221
6923349
7578240
7228898
8988846
8404694
9601659
8213138
8434646
8466539
9106270
8438555
7723821
7538413
7199881
8168314
9045790
8544483
9020709
7932021
8435986
7920357
8333659
7415547
7770392
8188878
8092465
7188528
8152373
9025069
9233973
6916290
8171721
7012501
8779456
7308709
8084547
8255978
7658071
7371877
8780827
10116778
9567175
7455902

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'George Udny Yule' @ yule.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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=259431&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=259431&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=259431&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'George Udny Yule' @ yule.wessa.net






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
17663255.83333333744036.7727322272054090
26498593.58333333794893.5104478362138853
37770747.41666667938842.3541089372874438
48301620.16666667612410.0504905091906389
58056126.41666667683445.1744744762317683
68213628.5951987.3252888593104277

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 7663255.83333333 & 744036.772732227 & 2054090 \tabularnewline
2 & 6498593.58333333 & 794893.510447836 & 2138853 \tabularnewline
3 & 7770747.41666667 & 938842.354108937 & 2874438 \tabularnewline
4 & 8301620.16666667 & 612410.050490509 & 1906389 \tabularnewline
5 & 8056126.41666667 & 683445.174474476 & 2317683 \tabularnewline
6 & 8213628.5 & 951987.325288859 & 3104277 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=259431&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]7663255.83333333[/C][C]744036.772732227[/C][C]2054090[/C][/ROW]
[ROW][C]2[/C][C]6498593.58333333[/C][C]794893.510447836[/C][C]2138853[/C][/ROW]
[ROW][C]3[/C][C]7770747.41666667[/C][C]938842.354108937[/C][C]2874438[/C][/ROW]
[ROW][C]4[/C][C]8301620.16666667[/C][C]612410.050490509[/C][C]1906389[/C][/ROW]
[ROW][C]5[/C][C]8056126.41666667[/C][C]683445.174474476[/C][C]2317683[/C][/ROW]
[ROW][C]6[/C][C]8213628.5[/C][C]951987.325288859[/C][C]3104277[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=259431&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=259431&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
17663255.83333333744036.7727322272054090
26498593.58333333794893.5104478362138853
37770747.41666667938842.3541089372874438
48301620.16666667612410.0504905091906389
58056126.41666667683445.1744744762317683
68213628.5951987.3252888593104277






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha980821.92911581
beta-0.0249294057984867
S.D.0.102568962306586
T-STAT-0.243050190212229
p-value0.819921517495262

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 980821.92911581 \tabularnewline
beta & -0.0249294057984867 \tabularnewline
S.D. & 0.102568962306586 \tabularnewline
T-STAT & -0.243050190212229 \tabularnewline
p-value & 0.819921517495262 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=259431&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]980821.92911581[/C][/ROW]
[ROW][C]beta[/C][C]-0.0249294057984867[/C][/ROW]
[ROW][C]S.D.[/C][C]0.102568962306586[/C][/ROW]
[ROW][C]T-STAT[/C][C]-0.243050190212229[/C][/ROW]
[ROW][C]p-value[/C][C]0.819921517495262[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=259431&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=259431&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)
alpha980821.92911581
beta-0.0249294057984867
S.D.0.102568962306586
T-STAT-0.243050190212229
p-value0.819921517495262






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha18.4496377667067
beta-0.308041280157257
S.D.0.955841186432833
T-STAT-0.322272449157435
p-value0.763386794339223
Lambda1.30804128015726

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & 18.4496377667067 \tabularnewline
beta & -0.308041280157257 \tabularnewline
S.D. & 0.955841186432833 \tabularnewline
T-STAT & -0.322272449157435 \tabularnewline
p-value & 0.763386794339223 \tabularnewline
Lambda & 1.30804128015726 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=259431&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]18.4496377667067[/C][/ROW]
[ROW][C]beta[/C][C]-0.308041280157257[/C][/ROW]
[ROW][C]S.D.[/C][C]0.955841186432833[/C][/ROW]
[ROW][C]T-STAT[/C][C]-0.322272449157435[/C][/ROW]
[ROW][C]p-value[/C][C]0.763386794339223[/C][/ROW]
[ROW][C]Lambda[/C][C]1.30804128015726[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=259431&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=259431&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)
alpha18.4496377667067
beta-0.308041280157257
S.D.0.955841186432833
T-STAT-0.322272449157435
p-value0.763386794339223
Lambda1.30804128015726


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')