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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_smp.wasp
Title produced by softwareStandard Deviation-Mean Plot
Date of computationThu, 03 Dec 2009 04:25:56 -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/2009/Dec/03/t1259839696bncfendlhcitwj8.htm/, Retrieved Fri, 19 Apr 2024 16:38:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62680, Retrieved Fri, 19 Apr 2024 16:38:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125

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] [] [2009-12-03 11:25:56] [8551abdd6804649d94d88b1829ac2b1a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
128,7
136,9
156,9
109,1
122,3
123,9
90,9
77,9
120,3
118,9
125,5
98,9
102,9
105,9
117,6
113,6
115,9
118,9
77,6
81,2
123,1
136,6
112,1
95,1
96,3
105,7
115,8
105,7
105,7
111,1
82,4
60
107,3
99,3
113,5
108,9
100,2
103,9
138,7
120,2
100,2
143,2
70,9
85,2
133
136,6
117,9
106,3
122,3
125,5
148,4
126,3
99,6
140,4
80,3
92,6
138,5
110,9
119,6
105
109
129,4
148,6
101,4
134,8
143,7
81,6
90,3
141,5
140,7
140,2
100,2
125,7
119,6
134,7
109
116,3
146,9
97,4
89,4
132,1
139,8
129
112,5
121,9
121,7
123,1
131,6
119,3
132,5
98,3
85,1
131,7
129,3
90,7
78,6
68,9
79,1
83,5
74,1
59,7
93,3
61,3
56,6
98,5

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=62680&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=62680&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62680&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
1117.51666666666721.071731746296579
2108.37517.069543584461159
3100.97515.660031638189355.8
4113.02522.575051595632272.3
5117.4520.478702906367768.1
6121.78333333333323.670688945434567
7121.03333333333317.101426486664457.5
8113.6519.790424681924153.9

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 117.516666666667 & 21.0717317462965 & 79 \tabularnewline
2 & 108.375 & 17.0695435844611 & 59 \tabularnewline
3 & 100.975 & 15.6600316381893 & 55.8 \tabularnewline
4 & 113.025 & 22.5750515956322 & 72.3 \tabularnewline
5 & 117.45 & 20.4787029063677 & 68.1 \tabularnewline
6 & 121.783333333333 & 23.6706889454345 & 67 \tabularnewline
7 & 121.033333333333 & 17.1014264866644 & 57.5 \tabularnewline
8 & 113.65 & 19.7904246819241 & 53.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62680&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]117.516666666667[/C][C]21.0717317462965[/C][C]79[/C][/ROW]
[ROW][C]2[/C][C]108.375[/C][C]17.0695435844611[/C][C]59[/C][/ROW]
[ROW][C]3[/C][C]100.975[/C][C]15.6600316381893[/C][C]55.8[/C][/ROW]
[ROW][C]4[/C][C]113.025[/C][C]22.5750515956322[/C][C]72.3[/C][/ROW]
[ROW][C]5[/C][C]117.45[/C][C]20.4787029063677[/C][C]68.1[/C][/ROW]
[ROW][C]6[/C][C]121.783333333333[/C][C]23.6706889454345[/C][C]67[/C][/ROW]
[ROW][C]7[/C][C]121.033333333333[/C][C]17.1014264866644[/C][C]57.5[/C][/ROW]
[ROW][C]8[/C][C]113.65[/C][C]19.7904246819241[/C][C]53.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62680&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62680&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
1117.51666666666721.071731746296579
2108.37517.069543584461159
3100.97515.660031638189355.8
4113.02522.575051595632272.3
5117.4520.478702906367768.1
6121.78333333333323.670688945434567
7121.03333333333317.101426486664457.5
8113.6519.790424681924153.9






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-9.11506407436824
beta0.252063923886208
S.D.0.131993816182957
T-STAT1.90966464320436
p-value0.104756617232598

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -9.11506407436824 \tabularnewline
beta & 0.252063923886208 \tabularnewline
S.D. & 0.131993816182957 \tabularnewline
T-STAT & 1.90966464320436 \tabularnewline
p-value & 0.104756617232598 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62680&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-9.11506407436824[/C][/ROW]
[ROW][C]beta[/C][C]0.252063923886208[/C][/ROW]
[ROW][C]S.D.[/C][C]0.131993816182957[/C][/ROW]
[ROW][C]T-STAT[/C][C]1.90966464320436[/C][/ROW]
[ROW][C]p-value[/C][C]0.104756617232598[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62680&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62680&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-9.11506407436824
beta0.252063923886208
S.D.0.131993816182957
T-STAT1.90966464320436
p-value0.104756617232598






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-4.15517602066642
beta1.50433912361689
S.D.0.740799696564776
T-STAT2.03069619303678
p-value0.0885783397042103
Lambda-0.504339123616889

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -4.15517602066642 \tabularnewline
beta & 1.50433912361689 \tabularnewline
S.D. & 0.740799696564776 \tabularnewline
T-STAT & 2.03069619303678 \tabularnewline
p-value & 0.0885783397042103 \tabularnewline
Lambda & -0.504339123616889 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62680&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-4.15517602066642[/C][/ROW]
[ROW][C]beta[/C][C]1.50433912361689[/C][/ROW]
[ROW][C]S.D.[/C][C]0.740799696564776[/C][/ROW]
[ROW][C]T-STAT[/C][C]2.03069619303678[/C][/ROW]
[ROW][C]p-value[/C][C]0.0885783397042103[/C][/ROW]
[ROW][C]Lambda[/C][C]-0.504339123616889[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62680&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62680&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-4.15517602066642
beta1.50433912361689
S.D.0.740799696564776
T-STAT2.03069619303678
p-value0.0885783397042103
Lambda-0.504339123616889


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')