FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 02 May 2012 18:00:54 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/May/02/t1335996128dgunqbm5v31xmtw.htm/, Retrieved Tue, 07 May 2024 17:31:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=166042, Retrieved Tue, 07 May 2024 17:31:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W83
Estimated Impact88

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] [] [2012-05-02 22:00:54] [580dcee726213d1997fefc515b1ea0db] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.143
4.429
5.219
4.929
5.761
5.592
4.163
4.962
5.208
4.755
4.491
5.732
5.731
5.040
6.102
4.904
5.369
5.578
4.619
4.731
5.011
5.227
4.146
4.625
4.736
4.219
5.116
4.205
4.121
5.103
4.300
4.578
3.809
5.657
4.249
3.830
4.736
4.840
4.412
4.570
4.105
4.801
3.953
3.828
4.444
4.027
4.118
4.791
3.232
3.554
3.950
3.948
3.683
4.311
3.865
4.140
4.095
3.814
3.377
3.443
3.494
4.015
5.401
5.122
5.507
6.425
4.948
2.977
2.937
2.972
2.732
3.172
3.102
3.360
3.705
3.171
3.980
3.342
2.766
4.022
4.459

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'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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166042&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166042&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166042&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'Herman Ole Andreas Wold' @ wold.wessa.net






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
14.948666666666670.5730034639484911.618
25.090250.545327112007931.956
34.493583333333330.5626244441468171.848
44.385416666666670.36696258375861.012
53.784333333333330.332050470789481.079
64.141833333333331.272564114000713.693

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 4.94866666666667 & 0.573003463948491 & 1.618 \tabularnewline
2 & 5.09025 & 0.54532711200793 & 1.956 \tabularnewline
3 & 4.49358333333333 & 0.562624444146817 & 1.848 \tabularnewline
4 & 4.38541666666667 & 0.3669625837586 & 1.012 \tabularnewline
5 & 3.78433333333333 & 0.33205047078948 & 1.079 \tabularnewline
6 & 4.14183333333333 & 1.27256411400071 & 3.693 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166042&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]4.94866666666667[/C][C]0.573003463948491[/C][C]1.618[/C][/ROW]
[ROW][C]2[/C][C]5.09025[/C][C]0.54532711200793[/C][C]1.956[/C][/ROW]
[ROW][C]3[/C][C]4.49358333333333[/C][C]0.562624444146817[/C][C]1.848[/C][/ROW]
[ROW][C]4[/C][C]4.38541666666667[/C][C]0.3669625837586[/C][C]1.012[/C][/ROW]
[ROW][C]5[/C][C]3.78433333333333[/C][C]0.33205047078948[/C][C]1.079[/C][/ROW]
[ROW][C]6[/C][C]4.14183333333333[/C][C]1.27256411400071[/C][C]3.693[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166042&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166042&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
14.948666666666670.5730034639484911.618
25.090250.545327112007931.956
34.493583333333330.5626244441468171.848
44.385416666666670.36696258375861.012
53.784333333333330.332050470789481.079
64.141833333333331.272564114000713.693






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha0.852002819249551
beta-0.0543689538108748
S.D.0.347582350897006
T-STAT-0.156420352387182
p-value0.883278918073257

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 0.852002819249551 \tabularnewline
beta & -0.0543689538108748 \tabularnewline
S.D. & 0.347582350897006 \tabularnewline
T-STAT & -0.156420352387182 \tabularnewline
p-value & 0.883278918073257 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166042&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]0.852002819249551[/C][/ROW]
[ROW][C]beta[/C][C]-0.0543689538108748[/C][/ROW]
[ROW][C]S.D.[/C][C]0.347582350897006[/C][/ROW]
[ROW][C]T-STAT[/C][C]-0.156420352387182[/C][/ROW]
[ROW][C]p-value[/C][C]0.883278918073257[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166042&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166042&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)
alpha0.852002819249551
beta-0.0543689538108748
S.D.0.347582350897006
T-STAT-0.156420352387182
p-value0.883278918073257






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-1.356302473358
beta0.506229761273313
S.D.2.13049125098243
T-STAT0.237611753176586
p-value0.823856738566204
Lambda0.493770238726687

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -1.356302473358 \tabularnewline
beta & 0.506229761273313 \tabularnewline
S.D. & 2.13049125098243 \tabularnewline
T-STAT & 0.237611753176586 \tabularnewline
p-value & 0.823856738566204 \tabularnewline
Lambda & 0.493770238726687 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166042&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-1.356302473358[/C][/ROW]
[ROW][C]beta[/C][C]0.506229761273313[/C][/ROW]
[ROW][C]S.D.[/C][C]2.13049125098243[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.237611753176586[/C][/ROW]
[ROW][C]p-value[/C][C]0.823856738566204[/C][/ROW]
[ROW][C]Lambda[/C][C]0.493770238726687[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166042&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166042&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-1.356302473358
beta0.506229761273313
S.D.2.13049125098243
T-STAT0.237611753176586
p-value0.823856738566204
Lambda0.493770238726687


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')