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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 computationTue, 03 Dec 2013 12:24:32 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/03/t13860914786b2e2iikhrkvcaq.htm/, Retrieved Tue, 16 Apr 2024 04:44:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=230369, Retrieved Tue, 16 Apr 2024 04:44:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact66

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] [] [2013-12-03 17:24:32] [0867de6134d40384f45e4afedb3459b9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102,43
102,43
102,43
102,43
104,2
104,2
104,2
104,2
104,2
104,2
104,2
104,2
104,2
104,2
104,2
104,2
108,1
109,2
109,2
109,2
109,2
109,2
109,2
109,2
109,2
109,2
109,2
109,2
112,1
112,1
112,1
112,1
112,1
112,1
112,1
112,1
112,1
112,1
112,1
112,1
114,81
114,81
114,81
114,81
114,81
114,81
114,81
114,81
114,81
114,81
114,81
114,81
115,57
115,57
115,57
115,57
115,57
115,57
115,57
115,57
115,57
115,57
115,57
117,3
117,3
118,39
118,39
118,39
118,39
118,39
118,39
118,39
118,39
118,39
118,39
121,18
123,21
123,21
123,21
123,21
123,21
123,21
123,21
123,21

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' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230369&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' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230369&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230369&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' @ wold.wessa.net






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
1103.610.8714877561336741.77
2107.4416666666672.414147066896725
3111.1333333333331.427861295360262.89999999999999
4113.9066666666671.334311762215972.71000000000001
5115.3166666666670.3741981325771670.759999999999991
6117.5033333333331.235801788559182.82000000000001
7121.8358333333332.156556423110834.81999999999999

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 103.61 & 0.871487756133674 & 1.77 \tabularnewline
2 & 107.441666666667 & 2.41414706689672 & 5 \tabularnewline
3 & 111.133333333333 & 1.42786129536026 & 2.89999999999999 \tabularnewline
4 & 113.906666666667 & 1.33431176221597 & 2.71000000000001 \tabularnewline
5 & 115.316666666667 & 0.374198132577167 & 0.759999999999991 \tabularnewline
6 & 117.503333333333 & 1.23580178855918 & 2.82000000000001 \tabularnewline
7 & 121.835833333333 & 2.15655642311083 & 4.81999999999999 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230369&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]103.61[/C][C]0.871487756133674[/C][C]1.77[/C][/ROW]
[ROW][C]2[/C][C]107.441666666667[/C][C]2.41414706689672[/C][C]5[/C][/ROW]
[ROW][C]3[/C][C]111.133333333333[/C][C]1.42786129536026[/C][C]2.89999999999999[/C][/ROW]
[ROW][C]4[/C][C]113.906666666667[/C][C]1.33431176221597[/C][C]2.71000000000001[/C][/ROW]
[ROW][C]5[/C][C]115.316666666667[/C][C]0.374198132577167[/C][C]0.759999999999991[/C][/ROW]
[ROW][C]6[/C][C]117.503333333333[/C][C]1.23580178855918[/C][C]2.82000000000001[/C][/ROW]
[ROW][C]7[/C][C]121.835833333333[/C][C]2.15655642311083[/C][C]4.81999999999999[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230369&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230369&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
1103.610.8714877561336741.77
2107.4416666666672.414147066896725
3111.1333333333331.427861295360262.89999999999999
4113.9066666666671.334311762215972.71000000000001
5115.3166666666670.3741981325771670.759999999999991
6117.5033333333331.235801788559182.82000000000001
7121.8358333333332.156556423110834.81999999999999






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha0.0173139529014448
beta0.0122582323112545
S.D.0.0508022845415764
T-STAT0.241292934399877
p-value0.81891095656971

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 0.0173139529014448 \tabularnewline
beta & 0.0122582323112545 \tabularnewline
S.D. & 0.0508022845415764 \tabularnewline
T-STAT & 0.241292934399877 \tabularnewline
p-value & 0.81891095656971 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230369&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]0.0173139529014448[/C][/ROW]
[ROW][C]beta[/C][C]0.0122582323112545[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0508022845415764[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.241292934399877[/C][/ROW]
[ROW][C]p-value[/C][C]0.81891095656971[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230369&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230369&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)
alpha0.0173139529014448
beta0.0122582323112545
S.D.0.0508022845415764
T-STAT0.241292934399877
p-value0.81891095656971






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-3.01841362372998
beta0.680598352384639
S.D.5.08227663916629
T-STAT0.133916038166763
p-value0.898692252161752
Lambda0.319401647615361

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -3.01841362372998 \tabularnewline
beta & 0.680598352384639 \tabularnewline
S.D. & 5.08227663916629 \tabularnewline
T-STAT & 0.133916038166763 \tabularnewline
p-value & 0.898692252161752 \tabularnewline
Lambda & 0.319401647615361 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230369&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-3.01841362372998[/C][/ROW]
[ROW][C]beta[/C][C]0.680598352384639[/C][/ROW]
[ROW][C]S.D.[/C][C]5.08227663916629[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.133916038166763[/C][/ROW]
[ROW][C]p-value[/C][C]0.898692252161752[/C][/ROW]
[ROW][C]Lambda[/C][C]0.319401647615361[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230369&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230369&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-3.01841362372998
beta0.680598352384639
S.D.5.08227663916629
T-STAT0.133916038166763
p-value0.898692252161752
Lambda0.319401647615361


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')