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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 computationMon, 23 Apr 2012 07:23:08 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Apr/23/t1335180208xporuw2oew36gt1.htm/, Retrieved Fri, 03 May 2024 22:19:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=164687, Retrieved Fri, 03 May 2024 22:19:45 +0000
QR Codes:

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

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] [] [2012-04-23 11:23:08] [6ae3a840f5540338367116d7beba32a2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13.15
13.47
13.65
13.52
14.13
14.84
15.29
15.51
15.43
15.42
15.56
15.43
15.36
15.18
15.41
15.15
15.21
15.09
15.09
15.5
15.41
15.42
15.47
15.23
15.59
15.22
15.45
15.02
15.5
15.59
15.98
15.76
15.43
15.45
15.32
15.4
15.42
15.54
15.6
15.67
15.61
16.01
16.06
16.15
15.87
15.89
15.73
15.78
16.07
16.2
16.42
16.61
16.89
17.62
17.83
17.94
18.07
17.85
17.86
17.85

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=164687&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=164687&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164687&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
114.61666666666670.9534371632375282.41
215.29333333333330.150353119708440.41
315.47583333333330.2464828348562790.960000000000001
415.77750.2238962828064490.729999999999999
517.26750.7647474330546242

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 14.6166666666667 & 0.953437163237528 & 2.41 \tabularnewline
2 & 15.2933333333333 & 0.15035311970844 & 0.41 \tabularnewline
3 & 15.4758333333333 & 0.246482834856279 & 0.960000000000001 \tabularnewline
4 & 15.7775 & 0.223896282806449 & 0.729999999999999 \tabularnewline
5 & 17.2675 & 0.764747433054624 & 2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164687&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]14.6166666666667[/C][C]0.953437163237528[/C][C]2.41[/C][/ROW]
[ROW][C]2[/C][C]15.2933333333333[/C][C]0.15035311970844[/C][C]0.41[/C][/ROW]
[ROW][C]3[/C][C]15.4758333333333[/C][C]0.246482834856279[/C][C]0.960000000000001[/C][/ROW]
[ROW][C]4[/C][C]15.7775[/C][C]0.223896282806449[/C][C]0.729999999999999[/C][/ROW]
[ROW][C]5[/C][C]17.2675[/C][C]0.764747433054624[/C][C]2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164687&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164687&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
114.61666666666670.9534371632375282.41
215.29333333333330.150353119708440.41
315.47583333333330.2464828348562790.960000000000001
415.77750.2238962828064490.729999999999999
517.26750.7647474330546242






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha0.0639079887484226
beta0.0257472323587179
S.D.0.214319733664913
T-STAT0.120134678773787
p-value0.911970384840023

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 0.0639079887484226 \tabularnewline
beta & 0.0257472323587179 \tabularnewline
S.D. & 0.214319733664913 \tabularnewline
T-STAT & 0.120134678773787 \tabularnewline
p-value & 0.911970384840023 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164687&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]0.0639079887484226[/C][/ROW]
[ROW][C]beta[/C][C]0.0257472323587179[/C][/ROW]
[ROW][C]S.D.[/C][C]0.214319733664913[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.120134678773787[/C][/ROW]
[ROW][C]p-value[/C][C]0.911970384840023[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164687&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164687&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)
alpha0.0639079887484226
beta0.0257472323587179
S.D.0.214319733664913
T-STAT0.120134678773787
p-value0.911970384840023






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-6.15320489354575
beta1.865209753427
S.D.7.57930409077584
T-STAT0.246092481722299
p-value0.821487363855436
Lambda-0.865209753426999

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -6.15320489354575 \tabularnewline
beta & 1.865209753427 \tabularnewline
S.D. & 7.57930409077584 \tabularnewline
T-STAT & 0.246092481722299 \tabularnewline
p-value & 0.821487363855436 \tabularnewline
Lambda & -0.865209753426999 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164687&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-6.15320489354575[/C][/ROW]
[ROW][C]beta[/C][C]1.865209753427[/C][/ROW]
[ROW][C]S.D.[/C][C]7.57930409077584[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.246092481722299[/C][/ROW]
[ROW][C]p-value[/C][C]0.821487363855436[/C][/ROW]
[ROW][C]Lambda[/C][C]-0.865209753426999[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164687&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164687&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-6.15320489354575
beta1.865209753427
S.D.7.57930409077584
T-STAT0.246092481722299
p-value0.821487363855436
Lambda-0.865209753426999


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')