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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 computationThu, 02 Apr 2015 17:50:02 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Apr/02/t1427993472j4p2ycjm9nzp6x8.htm/, Retrieved Thu, 09 May 2024 12:10:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=278590, Retrieved Thu, 09 May 2024 12:10:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78

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...] [2015-04-02 16:50:02] [09743efd8c85782f9ae22fefb9801b71] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
551,91
551,46
550,12
549,95
548,01
548,92
548,92
549,06
547,07
546,5
544,95
544,23
544,23
541,6
541,37
540,43
540,47
540,52
540,52
539,7
540,89
540,51
537,43
538,14
538,14
537,74
540,33
540,02
539,21
539,84
539,84
537,3
536,27
536,75
536,21
536,99
536,99
536,57
536,91
536,97
540,45
542,42
542,42
542,98
540,19
537,16
537,35
537,03
537,03
536,27
534,71
537,12
537,07
537,33
537,33
538,79
539,24
537,17
536,46
532,3
532,3
532,89
533,47
532,54
533,8
534,15
534,15
534,15
534,28
535,63
534,21
533,78
533,78
534,55
536,93
536,09
533,91
533,99
533,99
533,76
532,5
529,5
528,62
528,7
521,27
521,19
519,43
516,81
516,78
515,45
516,22
517,01
518,19
516,79
516,87
514,1

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=278590&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=278590&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=278590&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'Gertrude Mary Cox' @ cox.wessa.net






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
1548.4252.390053251593887.67999999999995
2540.4841666666671.696790865847736.80000000000007
3538.221.552727804981824.12
4538.9533333333332.543238212606246.40999999999997
5536.7351.804149258086646.94000000000005
6533.7791666666670.8987208923933273.33000000000004
7533.0266666666672.722560069738278.30999999999995
8517.5091666666672.165126317261187.16999999999996

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 548.425 & 2.39005325159388 & 7.67999999999995 \tabularnewline
2 & 540.484166666667 & 1.69679086584773 & 6.80000000000007 \tabularnewline
3 & 538.22 & 1.55272780498182 & 4.12 \tabularnewline
4 & 538.953333333333 & 2.54323821260624 & 6.40999999999997 \tabularnewline
5 & 536.735 & 1.80414925808664 & 6.94000000000005 \tabularnewline
6 & 533.779166666667 & 0.898720892393327 & 3.33000000000004 \tabularnewline
7 & 533.026666666667 & 2.72256006973827 & 8.30999999999995 \tabularnewline
8 & 517.509166666667 & 2.16512631726118 & 7.16999999999996 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=278590&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]548.425[/C][C]2.39005325159388[/C][C]7.67999999999995[/C][/ROW]
[ROW][C]2[/C][C]540.484166666667[/C][C]1.69679086584773[/C][C]6.80000000000007[/C][/ROW]
[ROW][C]3[/C][C]538.22[/C][C]1.55272780498182[/C][C]4.12[/C][/ROW]
[ROW][C]4[/C][C]538.953333333333[/C][C]2.54323821260624[/C][C]6.40999999999997[/C][/ROW]
[ROW][C]5[/C][C]536.735[/C][C]1.80414925808664[/C][C]6.94000000000005[/C][/ROW]
[ROW][C]6[/C][C]533.779166666667[/C][C]0.898720892393327[/C][C]3.33000000000004[/C][/ROW]
[ROW][C]7[/C][C]533.026666666667[/C][C]2.72256006973827[/C][C]8.30999999999995[/C][/ROW]
[ROW][C]8[/C][C]517.509166666667[/C][C]2.16512631726118[/C][C]7.16999999999996[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=278590&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=278590&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
1548.4252.390053251593887.67999999999995
2540.4841666666671.696790865847736.80000000000007
3538.221.552727804981824.12
4538.9533333333332.543238212606246.40999999999997
5536.7351.804149258086646.94000000000005
6533.7791666666670.8987208923933273.33000000000004
7533.0266666666672.722560069738278.30999999999995
8517.5091666666672.165126317261187.16999999999996






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha0.816049026226509
beta0.00215644710367525
S.D.0.0278386513553108
T-STAT0.0774623409788083
p-value0.940774335683372

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 0.816049026226509 \tabularnewline
beta & 0.00215644710367525 \tabularnewline
S.D. & 0.0278386513553108 \tabularnewline
T-STAT & 0.0774623409788083 \tabularnewline
p-value & 0.940774335683372 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=278590&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]0.816049026226509[/C][/ROW]
[ROW][C]beta[/C][C]0.00215644710367525[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0278386513553108[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.0774623409788083[/C][/ROW]
[ROW][C]p-value[/C][C]0.940774335683372[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=278590&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=278590&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)
alpha0.816049026226509
beta0.00215644710367525
S.D.0.0278386513553108
T-STAT0.0774623409788083
p-value0.940774335683372






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-4.27468080435549
beta0.780344572091545
S.D.8.82219616521599
T-STAT0.0884524167767063
p-value0.932395544705811
Lambda0.219655427908455

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -4.27468080435549 \tabularnewline
beta & 0.780344572091545 \tabularnewline
S.D. & 8.82219616521599 \tabularnewline
T-STAT & 0.0884524167767063 \tabularnewline
p-value & 0.932395544705811 \tabularnewline
Lambda & 0.219655427908455 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=278590&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-4.27468080435549[/C][/ROW]
[ROW][C]beta[/C][C]0.780344572091545[/C][/ROW]
[ROW][C]S.D.[/C][C]8.82219616521599[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.0884524167767063[/C][/ROW]
[ROW][C]p-value[/C][C]0.932395544705811[/C][/ROW]
[ROW][C]Lambda[/C][C]0.219655427908455[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=278590&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=278590&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-4.27468080435549
beta0.780344572091545
S.D.8.82219616521599
T-STAT0.0884524167767063
p-value0.932395544705811
Lambda0.219655427908455


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')