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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 computationWed, 18 Nov 2015 15:29:49 +0000
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/Nov/18/t1447860659ssapgy4a2dwaibc.htm/, Retrieved Tue, 14 May 2024 10:13:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=283509, Retrieved Tue, 14 May 2024 10:13:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116

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] [] [2015-11-18 15:29:49] [64c14b596f7fde091cf1a84a44b2a252] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
91.16
91.17
91.17
91.38
92.68
92.72
92.79
92.81
92.81
92.81
92.81
92.81
92.81
92.82
92.82
92.88
93.38
93.89
94.1
94.18
94.3
94.31
94.36
94.38
94.38
94.5
94.57
94.89
96.71
97.57
97.88
97.97
98.4
98.51
98.46
98.46
98.48
98.6
98.6
98.71
99.13
99.2
99.3
100.18
101.37
101.77
102.28
102.38
102.35
103.23
105.37
106.62
107
107.24
107.31
107.35
107.42
107.58
107.64
107.64

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283509&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283509&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283509&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
192.260.7711856279309641.65000000000001
293.68583333333330.6855582772566851.56999999999999
396.85833333333331.754427300151014.13000000000001
41001.528112323334673.89999999999999
5106.3958333333331.805665117111015.29000000000001

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 92.26 & 0.771185627930964 & 1.65000000000001 \tabularnewline
2 & 93.6858333333333 & 0.685558277256685 & 1.56999999999999 \tabularnewline
3 & 96.8583333333333 & 1.75442730015101 & 4.13000000000001 \tabularnewline
4 & 100 & 1.52811232333467 & 3.89999999999999 \tabularnewline
5 & 106.395833333333 & 1.80566511711101 & 5.29000000000001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283509&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]92.26[/C][C]0.771185627930964[/C][C]1.65000000000001[/C][/ROW]
[ROW][C]2[/C][C]93.6858333333333[/C][C]0.685558277256685[/C][C]1.56999999999999[/C][/ROW]
[ROW][C]3[/C][C]96.8583333333333[/C][C]1.75442730015101[/C][C]4.13000000000001[/C][/ROW]
[ROW][C]4[/C][C]100[/C][C]1.52811232333467[/C][C]3.89999999999999[/C][/ROW]
[ROW][C]5[/C][C]106.395833333333[/C][C]1.80566511711101[/C][C]5.29000000000001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283509&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283509&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
192.260.7711856279309641.65000000000001
293.68583333333330.6855582772566851.56999999999999
396.85833333333331.754427300151014.13000000000001
41001.528112323334673.89999999999999
5106.3958333333331.805665117111015.29000000000001






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-6.28618298146607
beta0.0776285027659744
S.D.0.0325479223262218
T-STAT2.38505247701891
p-value0.0971738056723958

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -6.28618298146607 \tabularnewline
beta & 0.0776285027659744 \tabularnewline
S.D. & 0.0325479223262218 \tabularnewline
T-STAT & 2.38505247701891 \tabularnewline
p-value & 0.0971738056723958 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283509&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-6.28618298146607[/C][/ROW]
[ROW][C]beta[/C][C]0.0776285027659744[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0325479223262218[/C][/ROW]
[ROW][C]T-STAT[/C][C]2.38505247701891[/C][/ROW]
[ROW][C]p-value[/C][C]0.0971738056723958[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283509&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283509&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-6.28618298146607
beta0.0776285027659744
S.D.0.0325479223262218
T-STAT2.38505247701891
p-value0.0971738056723958






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-30.2886534602352
beta6.65133427665435
S.D.2.81082122555589
T-STAT2.36633131135508
p-value0.0988315317848286
Lambda-5.65133427665435

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -30.2886534602352 \tabularnewline
beta & 6.65133427665435 \tabularnewline
S.D. & 2.81082122555589 \tabularnewline
T-STAT & 2.36633131135508 \tabularnewline
p-value & 0.0988315317848286 \tabularnewline
Lambda & -5.65133427665435 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283509&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-30.2886534602352[/C][/ROW]
[ROW][C]beta[/C][C]6.65133427665435[/C][/ROW]
[ROW][C]S.D.[/C][C]2.81082122555589[/C][/ROW]
[ROW][C]T-STAT[/C][C]2.36633131135508[/C][/ROW]
[ROW][C]p-value[/C][C]0.0988315317848286[/C][/ROW]
[ROW][C]Lambda[/C][C]-5.65133427665435[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283509&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283509&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-30.2886534602352
beta6.65133427665435
S.D.2.81082122555589
T-STAT2.36633131135508
p-value0.0988315317848286
Lambda-5.65133427665435


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')