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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 computationSun, 14 Dec 2008 04:24:39 -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/14/t12292539197a02nelpptix3me.htm/, Retrieved Fri, 17 May 2024 06:38:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33297, Retrieved Fri, 17 May 2024 06:38:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148

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] [Standard Deviatio...] [2008-12-14 11:24:39] [6c16737409bc392209b0ce8176e438df] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10540,05
10601,61
10323,73
10418,4
10092,96
10364,91
10152,09
10032,8
10204,59
10001,6
10411,75
10673,38
10539,51
10723,78
10682,06
10283,19
10377,18
10486,64
10545,38
10554,27
10532,54
10324,31
10695,25
10827,81
10872,48
10971,19
11145,65
11234,68
11333,88
10997,97
11036,89
11257,35
11533,59
11963,12
12185,15
12377,62
12512,89
12631,48
12268,53
12754,8
13407,75
13480,21
13673,28
13239,71
13557,69
13901,28
13200,58
13406,97
12538,12
12419,57
12193,88
12656,63
12812,48
12056,67
11322,38
11530,75
11114,08
9181,73
8614,55

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33297&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33297&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33297&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'George Udny Yule' @ 72.249.76.132






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
110318.1558333333223.528938311975671.779999999999
210547.66165.778835857240544.619999999999
311409.1308333333502.5868722095961505.14
413169.5975509.8933970783411632.75

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 10318.1558333333 & 223.528938311975 & 671.779999999999 \tabularnewline
2 & 10547.66 & 165.778835857240 & 544.619999999999 \tabularnewline
3 & 11409.1308333333 & 502.586872209596 & 1505.14 \tabularnewline
4 & 13169.5975 & 509.893397078341 & 1632.75 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33297&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]10318.1558333333[/C][C]223.528938311975[/C][C]671.779999999999[/C][/ROW]
[ROW][C]2[/C][C]10547.66[/C][C]165.778835857240[/C][C]544.619999999999[/C][/ROW]
[ROW][C]3[/C][C]11409.1308333333[/C][C]502.586872209596[/C][C]1505.14[/C][/ROW]
[ROW][C]4[/C][C]13169.5975[/C][C]509.893397078341[/C][C]1632.75[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33297&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33297&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
110318.1558333333223.528938311975671.779999999999
210547.66165.778835857240544.619999999999
311409.1308333333502.5868722095961505.14
413169.5975509.8933970783411632.75






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-957.61325542847
beta0.115134636315900
S.D.0.0566215360727827
T-STAT2.03340715038008
p-value0.179032241679721

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -957.61325542847 \tabularnewline
beta & 0.115134636315900 \tabularnewline
S.D. & 0.0566215360727827 \tabularnewline
T-STAT & 2.03340715038008 \tabularnewline
p-value & 0.179032241679721 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33297&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-957.61325542847[/C][/ROW]
[ROW][C]beta[/C][C]0.115134636315900[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0566215360727827[/C][/ROW]
[ROW][C]T-STAT[/C][C]2.03340715038008[/C][/ROW]
[ROW][C]p-value[/C][C]0.179032241679721[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33297&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33297&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-957.61325542847
beta0.115134636315900
S.D.0.0566215360727827
T-STAT2.03340715038008
p-value0.179032241679721






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-33.504980467361
beta4.20521884519470
S.D.2.13599441255771
T-STAT1.96874056433473
p-value0.187824592061317
Lambda-3.20521884519470

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -33.504980467361 \tabularnewline
beta & 4.20521884519470 \tabularnewline
S.D. & 2.13599441255771 \tabularnewline
T-STAT & 1.96874056433473 \tabularnewline
p-value & 0.187824592061317 \tabularnewline
Lambda & -3.20521884519470 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33297&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-33.504980467361[/C][/ROW]
[ROW][C]beta[/C][C]4.20521884519470[/C][/ROW]
[ROW][C]S.D.[/C][C]2.13599441255771[/C][/ROW]
[ROW][C]T-STAT[/C][C]1.96874056433473[/C][/ROW]
[ROW][C]p-value[/C][C]0.187824592061317[/C][/ROW]
[ROW][C]Lambda[/C][C]-3.20521884519470[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33297&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33297&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-33.504980467361
beta4.20521884519470
S.D.2.13599441255771
T-STAT1.96874056433473
p-value0.187824592061317
Lambda-3.20521884519470


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')