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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 computationSat, 13 Dec 2008 06:15:47 -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/2008/Dec/13/t12291743154o6cg9ejo967j8w.htm/, Retrieved Fri, 17 May 2024 04:19:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33058, Retrieved Fri, 17 May 2024 04:19:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact183

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...] [2008-12-13 13:15:47] [1fa440a634ec541bd583650ead0404df] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100
100
100
100,1
100
100
99,8
100
99,9
99,2
98,7
98,7
98,9
99,2
99,8
100,5
100,1
100,5
98,4
98,6
99
99,1
98,9
98,5
96,9
96,8
97
97
96,9
97,1
97,2
97,9
98,9
99,2
99,5
99,3
99,9
100
100,3
100,5
100,7
100,9
100,8
100,9
101
100,3
100,1
99,8
99,9
99,9
100,2
99,7
100,4
100,9
101,3
101,4
101,3
100,9
100,9
100,9
101,1
101,1
101,3
101,8
102,9
103,2
103,3
104,5
105
104,9
104,9
105,4
106
105,7
105,9
106,2
106,4
106,9
107,3
107,9
109,2
110,2
110,2
110,5
110,6
110,8
111,3
111,1
111,2
111,2
111,1
111,5
112,1
111,4

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33058&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33058&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33058&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'George Udny Yule' @ 72.249.76.132






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
199.70.5222329678670921.39999999999999
299.29166666666670.7488880646220312.09999999999999
397.80833333333331.090002780090982.70000000000000
4100.4333333333330.4249777177759581.20000000000000
5100.6416666666670.5991787308601251.70000000000000
6103.2833333333331.650252505931554.30000000000001
7107.71.846372364689994.8

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 99.7 & 0.522232967867092 & 1.39999999999999 \tabularnewline
2 & 99.2916666666667 & 0.748888064622031 & 2.09999999999999 \tabularnewline
3 & 97.8083333333333 & 1.09000278009098 & 2.70000000000000 \tabularnewline
4 & 100.433333333333 & 0.424977717775958 & 1.20000000000000 \tabularnewline
5 & 100.641666666667 & 0.599178730860125 & 1.70000000000000 \tabularnewline
6 & 103.283333333333 & 1.65025250593155 & 4.30000000000001 \tabularnewline
7 & 107.7 & 1.84637236468999 & 4.8 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33058&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]99.7[/C][C]0.522232967867092[/C][C]1.39999999999999[/C][/ROW]
[ROW][C]2[/C][C]99.2916666666667[/C][C]0.748888064622031[/C][C]2.09999999999999[/C][/ROW]
[ROW][C]3[/C][C]97.8083333333333[/C][C]1.09000278009098[/C][C]2.70000000000000[/C][/ROW]
[ROW][C]4[/C][C]100.433333333333[/C][C]0.424977717775958[/C][C]1.20000000000000[/C][/ROW]
[ROW][C]5[/C][C]100.641666666667[/C][C]0.599178730860125[/C][C]1.70000000000000[/C][/ROW]
[ROW][C]6[/C][C]103.283333333333[/C][C]1.65025250593155[/C][C]4.30000000000001[/C][/ROW]
[ROW][C]7[/C][C]107.7[/C][C]1.84637236468999[/C][C]4.8[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33058&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33058&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
199.70.5222329678670921.39999999999999
299.29166666666670.7488880646220312.09999999999999
397.80833333333331.090002780090982.70000000000000
4100.4333333333330.4249777177759581.20000000000000
5100.6416666666670.5991787308601251.70000000000000
6103.2833333333331.650252505931554.30000000000001
7107.71.846372364689994.8






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-12.1625589530793
beta0.129814115848338
S.D.0.0507440458748169
T-STAT2.55821374922651
p-value0.0507566422654987

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -12.1625589530793 \tabularnewline
beta & 0.129814115848338 \tabularnewline
S.D. & 0.0507440458748169 \tabularnewline
T-STAT & 2.55821374922651 \tabularnewline
p-value & 0.0507566422654987 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33058&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-12.1625589530793[/C][/ROW]
[ROW][C]beta[/C][C]0.129814115848338[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0507440458748169[/C][/ROW]
[ROW][C]T-STAT[/C][C]2.55821374922651[/C][/ROW]
[ROW][C]p-value[/C][C]0.0507566422654987[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33058&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33058&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-12.1625589530793
beta0.129814115848338
S.D.0.0507440458748169
T-STAT2.55821374922651
p-value0.0507566422654987






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-53.0819471907452
beta11.4620781605138
S.D.6.14054617833834
T-STAT1.86662193030124
p-value0.120937276674495
Lambda-10.4620781605138

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -53.0819471907452 \tabularnewline
beta & 11.4620781605138 \tabularnewline
S.D. & 6.14054617833834 \tabularnewline
T-STAT & 1.86662193030124 \tabularnewline
p-value & 0.120937276674495 \tabularnewline
Lambda & -10.4620781605138 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33058&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-53.0819471907452[/C][/ROW]
[ROW][C]beta[/C][C]11.4620781605138[/C][/ROW]
[ROW][C]S.D.[/C][C]6.14054617833834[/C][/ROW]
[ROW][C]T-STAT[/C][C]1.86662193030124[/C][/ROW]
[ROW][C]p-value[/C][C]0.120937276674495[/C][/ROW]
[ROW][C]Lambda[/C][C]-10.4620781605138[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33058&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33058&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-53.0819471907452
beta11.4620781605138
S.D.6.14054617833834
T-STAT1.86662193030124
p-value0.120937276674495
Lambda-10.4620781605138


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')