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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 computationFri, 09 May 2008 12:33:16 -0600
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/May/09/t1210358044258ynmwnjq3nnb9.htm/, Retrieved Mon, 13 May 2024 23:58:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=12206, Retrieved Mon, 13 May 2024 23:58:15 +0000
QR Codes:

Original text written by user:Bron: www.belgostat.be Periode: dec 1998- dec 2005
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact147

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] [ Gemiddelde consu...] [2008-05-09 18:33:16] [eef742e943ad17e3ad9ffb5dcd5a3094] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.07
4.07
4.08
4.09
4.08
4.09
4.12
4.14
4.14
4.14
4.14
4.14
4.23
4.29
4.32
4.33
4.35
4.35
4.35
4.35
4.36
4.36
4.38
4.4
4.4
4.4
4.43
4.44
4.46
4.47
4.49
4.49
4.57
4.62
4.64
4.66
4.67
4.68
4.72
4.74
4.75
4.76
4.77
4.76
4.77
4.77
4.78
4.81
4.81
4.85
4.92
4.96
4.95
4.96
4.97
5
5
5.01
5.01
5.02
5.04
5.04
5.19
5.22
5.22
5.22
5.24
5.28
5.34
5.36
5.38
5.39
5.41
5.44
5.51
5.55
5.56
5.57
5.58
5.58
5.59
5.61
5.63
5.64
5.64

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=12206&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=12206&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=12206&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'Gwilym Jenkins' @ 72.249.127.135






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
14.108333333333330.03069892901102950.0699999999999994
24.339166666666670.04420167280531210.17
34.505833333333330.09307458722916140.26
44.748333333333330.04063883796954770.140000000000000
54.9550.06598897979621640.21
65.243333333333330.1174217986060460.350
75.555833333333330.07064100448855110.230000000000000

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 4.10833333333333 & 0.0306989290110295 & 0.0699999999999994 \tabularnewline
2 & 4.33916666666667 & 0.0442016728053121 & 0.17 \tabularnewline
3 & 4.50583333333333 & 0.0930745872291614 & 0.26 \tabularnewline
4 & 4.74833333333333 & 0.0406388379695477 & 0.140000000000000 \tabularnewline
5 & 4.955 & 0.0659889797962164 & 0.21 \tabularnewline
6 & 5.24333333333333 & 0.117421798606046 & 0.350 \tabularnewline
7 & 5.55583333333333 & 0.0706410044885511 & 0.230000000000000 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=12206&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]4.10833333333333[/C][C]0.0306989290110295[/C][C]0.0699999999999994[/C][/ROW]
[ROW][C]2[/C][C]4.33916666666667[/C][C]0.0442016728053121[/C][C]0.17[/C][/ROW]
[ROW][C]3[/C][C]4.50583333333333[/C][C]0.0930745872291614[/C][C]0.26[/C][/ROW]
[ROW][C]4[/C][C]4.74833333333333[/C][C]0.0406388379695477[/C][C]0.140000000000000[/C][/ROW]
[ROW][C]5[/C][C]4.955[/C][C]0.0659889797962164[/C][C]0.21[/C][/ROW]
[ROW][C]6[/C][C]5.24333333333333[/C][C]0.117421798606046[/C][C]0.350[/C][/ROW]
[ROW][C]7[/C][C]5.55583333333333[/C][C]0.0706410044885511[/C][C]0.230000000000000[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=12206&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=12206&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
14.108333333333330.03069892901102950.0699999999999994
24.339166666666670.04420167280531210.17
34.505833333333330.09307458722916140.26
44.748333333333330.04063883796954770.140000000000000
54.9550.06598897979621640.21
65.243333333333330.1174217986060460.350
75.555833333333330.07064100448855110.230000000000000






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-0.09879155915299
beta0.0344994163641655
S.D.0.0222859176919262
T-STAT1.54803660504697
p-value0.182291943562964

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -0.09879155915299 \tabularnewline
beta & 0.0344994163641655 \tabularnewline
S.D. & 0.0222859176919262 \tabularnewline
T-STAT & 1.54803660504697 \tabularnewline
p-value & 0.182291943562964 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=12206&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-0.09879155915299[/C][/ROW]
[ROW][C]beta[/C][C]0.0344994163641655[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0222859176919262[/C][/ROW]
[ROW][C]T-STAT[/C][C]1.54803660504697[/C][/ROW]
[ROW][C]p-value[/C][C]0.182291943562964[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=12206&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=12206&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-0.09879155915299
beta0.0344994163641655
S.D.0.0222859176919262
T-STAT1.54803660504697
p-value0.182291943562964






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-7.34096940888228
beta2.90365377152063
S.D.1.53173567919425
T-STAT1.89566242463456
p-value0.116510087692493
Lambda-1.90365377152063

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -7.34096940888228 \tabularnewline
beta & 2.90365377152063 \tabularnewline
S.D. & 1.53173567919425 \tabularnewline
T-STAT & 1.89566242463456 \tabularnewline
p-value & 0.116510087692493 \tabularnewline
Lambda & -1.90365377152063 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=12206&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-7.34096940888228[/C][/ROW]
[ROW][C]beta[/C][C]2.90365377152063[/C][/ROW]
[ROW][C]S.D.[/C][C]1.53173567919425[/C][/ROW]
[ROW][C]T-STAT[/C][C]1.89566242463456[/C][/ROW]
[ROW][C]p-value[/C][C]0.116510087692493[/C][/ROW]
[ROW][C]Lambda[/C][C]-1.90365377152063[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=12206&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=12206&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-7.34096940888228
beta2.90365377152063
S.D.1.53173567919425
T-STAT1.89566242463456
p-value0.116510087692493
Lambda-1.90365377152063


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')