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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, 12 Jan 2010 06:44:41 -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/2010/Jan/12/t1263304060gtnf5w5pejfik3y.htm/, Retrieved Tue, 07 May 2024 07:08:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72064, Retrieved Tue, 07 May 2024 07:08:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W83
Estimated Impact124

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [] [] [1970-01-01 00:00:00] [2186dd2f385e1ccfa008ccec8e23764c]
- RMPD    [Standard Deviation-Mean Plot] [] [2010-01-12 13:44:41] [ab5cffebaafedfca74d2c063d2ba2ba4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100,7
105,9
115,4
113,9
121,5
119,5
115,8
116,3
113,5
110,7
116,9
141,1
101,8
102,9
119
112,8
120,9
123,1
121,9
119,4
110,9
116,8
120,6
143,3
106,4
106,9
125,6
110,9
127
124,3
121,3
124,4
113,2
120,2
122,6
143,3
106,5
105,9
114
121,6
119,7
122,5
126,5
118,2
115,5
120,1
115,3
146,5
107,7
106,3
121,8
115,8
115,4
124,3
121,7
118,7
113,5
113,4
115,1
144,2
100,9
103,2
121,3
111,9
117,3
124,2
122
119,6
114,9
112,2
115,3
143
104
105,3
124,3
114,1
124,8
131,9
125,8
125,2
119,8
116,2
120,2
148,6
109,4
109,6
135,2
115,2
129,1
138,8
126
130,7
120,5
126,5
128
151,7
114,8
118,9
131,5
124,8
137
137,1
137
131,3
126
129,7
125,1
157,8

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72064&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72064&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72064&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'Gwilym Jenkins' @ 72.249.127.135






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
1115.9333333333339.7635996839218440.4
2117.78333333333310.737430988948241.5
3120.50833333333310.234119257156336.9
4119.35833333333310.492894421146840.6
5118.1583333333339.8111678790812237.9
6117.1510.803660995657542.1
7121.68333333333311.867436985552644.6
8126.72512.173079463979742.3
9130.91666666666711.022690096782043

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 115.933333333333 & 9.76359968392184 & 40.4 \tabularnewline
2 & 117.783333333333 & 10.7374309889482 & 41.5 \tabularnewline
3 & 120.508333333333 & 10.2341192571563 & 36.9 \tabularnewline
4 & 119.358333333333 & 10.4928944211468 & 40.6 \tabularnewline
5 & 118.158333333333 & 9.81116787908122 & 37.9 \tabularnewline
6 & 117.15 & 10.8036609956575 & 42.1 \tabularnewline
7 & 121.683333333333 & 11.8674369855526 & 44.6 \tabularnewline
8 & 126.725 & 12.1730794639797 & 42.3 \tabularnewline
9 & 130.916666666667 & 11.0226900967820 & 43 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72064&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]115.933333333333[/C][C]9.76359968392184[/C][C]40.4[/C][/ROW]
[ROW][C]2[/C][C]117.783333333333[/C][C]10.7374309889482[/C][C]41.5[/C][/ROW]
[ROW][C]3[/C][C]120.508333333333[/C][C]10.2341192571563[/C][C]36.9[/C][/ROW]
[ROW][C]4[/C][C]119.358333333333[/C][C]10.4928944211468[/C][C]40.6[/C][/ROW]
[ROW][C]5[/C][C]118.158333333333[/C][C]9.81116787908122[/C][C]37.9[/C][/ROW]
[ROW][C]6[/C][C]117.15[/C][C]10.8036609956575[/C][C]42.1[/C][/ROW]
[ROW][C]7[/C][C]121.683333333333[/C][C]11.8674369855526[/C][C]44.6[/C][/ROW]
[ROW][C]8[/C][C]126.725[/C][C]12.1730794639797[/C][C]42.3[/C][/ROW]
[ROW][C]9[/C][C]130.916666666667[/C][C]11.0226900967820[/C][C]43[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72064&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72064&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
1115.9333333333339.7635996839218440.4
2117.78333333333310.737430988948241.5
3120.50833333333310.234119257156336.9
4119.35833333333310.492894421146840.6
5118.1583333333339.8111678790812237.9
6117.1510.803660995657542.1
7121.68333333333311.867436985552644.6
8126.72512.173079463979742.3
9130.91666666666711.022690096782043






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-1.61592765223455
beta0.102414741527273
S.D.0.0509008129905249
T-STAT2.012045299676
p-value0.0841116141400335

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -1.61592765223455 \tabularnewline
beta & 0.102414741527273 \tabularnewline
S.D. & 0.0509008129905249 \tabularnewline
T-STAT & 2.012045299676 \tabularnewline
p-value & 0.0841116141400335 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72064&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-1.61592765223455[/C][/ROW]
[ROW][C]beta[/C][C]0.102414741527273[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0509008129905249[/C][/ROW]
[ROW][C]T-STAT[/C][C]2.012045299676[/C][/ROW]
[ROW][C]p-value[/C][C]0.0841116141400335[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72064&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72064&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-1.61592765223455
beta0.102414741527273
S.D.0.0509008129905249
T-STAT2.012045299676
p-value0.0841116141400335






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-3.26079418037402
beta1.17527936220834
S.D.0.569845434299375
T-STAT2.06245288891951
p-value0.0780818588856715
Lambda-0.175279362208336

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -3.26079418037402 \tabularnewline
beta & 1.17527936220834 \tabularnewline
S.D. & 0.569845434299375 \tabularnewline
T-STAT & 2.06245288891951 \tabularnewline
p-value & 0.0780818588856715 \tabularnewline
Lambda & -0.175279362208336 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72064&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-3.26079418037402[/C][/ROW]
[ROW][C]beta[/C][C]1.17527936220834[/C][/ROW]
[ROW][C]S.D.[/C][C]0.569845434299375[/C][/ROW]
[ROW][C]T-STAT[/C][C]2.06245288891951[/C][/ROW]
[ROW][C]p-value[/C][C]0.0780818588856715[/C][/ROW]
[ROW][C]Lambda[/C][C]-0.175279362208336[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72064&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72064&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-3.26079418037402
beta1.17527936220834
S.D.0.569845434299375
T-STAT2.06245288891951
p-value0.0780818588856715
Lambda-0.175279362208336


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')