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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 computationSun, 23 Nov 2014 16:33:51 +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/2014/Nov/23/t1416760478lljm17e12s4m2e1.htm/, Retrieved Sun, 19 May 2024 14:06:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=258048, Retrieved Sun, 19 May 2024 14:06:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67

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] [Spreidings- en ge...] [2014-11-23 16:33:51] [5cb566f42d00ad61092156d0d2251413] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.8
1.8
1.81
1.81
1.81
1.81
1.81
1.81
1.82
1.82
1.81
1.8
1.8
1.81
1.81
1.81
1.81
1.81
1.81
1.82
1.82
1.82
1.83
1.83
1.83
1.84
1.85
1.86
1.86
1.87
1.87
1.86
1.88
1.89
1.91
1.91
1.91
1.91
1.92
1.93
1.93
1.94
1.94
1.95
1.95
1.96
1.97
1.97
1.97
1.97
1.98
1.98
1.99
1.99
1.99
2
2
2.01
2.01
2.02
2.01
2.01
2.03
2.03
2.04
2.05
2.05
2.06
2.06
2.06
2.04
2.04
2.04
2.03
2.03
2.03
2.03
2.03
2.03
2.03
2.03
2.03
2.02
2.03
2.03
2.02
2.03
2.04
2.05
2.05
2.05
2.05
2.07
2.07
2.08
2.08

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' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=258048&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=258048&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=258048&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' @ jenkins.wessa.net






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
11.809166666666670.006685579234215220.02
21.8150.009045340337332920.03
31.869166666666670.02503028468705760.0799999999999998
41.940.02088931871468380.0600000000000001
51.99250.01602554778527650.05
62.040.01758098145983070.0500000000000003
72.030.004264014327112210.02
82.051666666666670.01992409839791250.0600000000000001

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 1.80916666666667 & 0.00668557923421522 & 0.02 \tabularnewline
2 & 1.815 & 0.00904534033733292 & 0.03 \tabularnewline
3 & 1.86916666666667 & 0.0250302846870576 & 0.0799999999999998 \tabularnewline
4 & 1.94 & 0.0208893187146838 & 0.0600000000000001 \tabularnewline
5 & 1.9925 & 0.0160255477852765 & 0.05 \tabularnewline
6 & 2.04 & 0.0175809814598307 & 0.0500000000000003 \tabularnewline
7 & 2.03 & 0.00426401432711221 & 0.02 \tabularnewline
8 & 2.05166666666667 & 0.0199240983979125 & 0.0600000000000001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=258048&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]1.80916666666667[/C][C]0.00668557923421522[/C][C]0.02[/C][/ROW]
[ROW][C]2[/C][C]1.815[/C][C]0.00904534033733292[/C][C]0.03[/C][/ROW]
[ROW][C]3[/C][C]1.86916666666667[/C][C]0.0250302846870576[/C][C]0.0799999999999998[/C][/ROW]
[ROW][C]4[/C][C]1.94[/C][C]0.0208893187146838[/C][C]0.0600000000000001[/C][/ROW]
[ROW][C]5[/C][C]1.9925[/C][C]0.0160255477852765[/C][C]0.05[/C][/ROW]
[ROW][C]6[/C][C]2.04[/C][C]0.0175809814598307[/C][C]0.0500000000000003[/C][/ROW]
[ROW][C]7[/C][C]2.03[/C][C]0.00426401432711221[/C][C]0.02[/C][/ROW]
[ROW][C]8[/C][C]2.05166666666667[/C][C]0.0199240983979125[/C][C]0.0600000000000001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=258048&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=258048&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
11.809166666666670.006685579234215220.02
21.8150.009045340337332920.03
31.869166666666670.02503028468705760.0799999999999998
41.940.02088931871468380.0600000000000001
51.99250.01602554778527650.05
62.040.01758098145983070.0500000000000003
72.030.004264014327112210.02
82.051666666666670.01992409839791250.0600000000000001






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-0.0129687349972837
beta0.0143556870829195
S.D.0.0295696330903418
T-STAT0.485487494520467
p-value0.644548687925559

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -0.0129687349972837 \tabularnewline
beta & 0.0143556870829195 \tabularnewline
S.D. & 0.0295696330903418 \tabularnewline
T-STAT & 0.485487494520467 \tabularnewline
p-value & 0.644548687925559 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=258048&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-0.0129687349972837[/C][/ROW]
[ROW][C]beta[/C][C]0.0143556870829195[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0295696330903418[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.485487494520467[/C][/ROW]
[ROW][C]p-value[/C][C]0.644548687925559[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=258048&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=258048&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-0.0129687349972837
beta0.0143556870829195
S.D.0.0295696330903418
T-STAT0.485487494520467
p-value0.644548687925559






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-5.75256378014159
beta2.11134540697674
S.D.4.85308081637279
T-STAT0.435052595838444
p-value0.678736966246858
Lambda-1.11134540697674

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -5.75256378014159 \tabularnewline
beta & 2.11134540697674 \tabularnewline
S.D. & 4.85308081637279 \tabularnewline
T-STAT & 0.435052595838444 \tabularnewline
p-value & 0.678736966246858 \tabularnewline
Lambda & -1.11134540697674 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=258048&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-5.75256378014159[/C][/ROW]
[ROW][C]beta[/C][C]2.11134540697674[/C][/ROW]
[ROW][C]S.D.[/C][C]4.85308081637279[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.435052595838444[/C][/ROW]
[ROW][C]p-value[/C][C]0.678736966246858[/C][/ROW]
[ROW][C]Lambda[/C][C]-1.11134540697674[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=258048&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=258048&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-5.75256378014159
beta2.11134540697674
S.D.4.85308081637279
T-STAT0.435052595838444
p-value0.678736966246858
Lambda-1.11134540697674


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')