FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationFri, 04 Dec 2009 06:47:20 -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/2009/Dec/04/t1259934629sbbn69sb9x0ceul.htm/, Retrieved Sat, 27 Apr 2024 19:00:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=63515, Retrieved Sat, 27 Apr 2024 19:00:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact137

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [Standard Deviation-Mean Plot] [] [2009-11-27 14:40:44] [b98453cac15ba1066b407e146608df68]
-    D      [Standard Deviation-Mean Plot] [WS 9: Standard De...] [2009-12-04 13:47:20] [ac86848d66148c9c4c9404e0c9a511eb] [Current]
-    D        [Standard Deviation-Mean Plot] [xt standard devia...] [2009-12-10 12:26:00] [f924a0adda9c1905a1ba8f1c751261ff]
- R  D          [Standard Deviation-Mean Plot] [] [2009-12-11 15:14:16] [2c5be225250d91402426bbbf07a5e2b3]
- R  D          [Standard Deviation-Mean Plot] [] [2009-12-11 15:14:16] [2c5be225250d91402426bbbf07a5e2b3]
- R  D          [Standard Deviation-Mean Plot] [] [2009-12-11 15:14:16] [2c5be225250d91402426bbbf07a5e2b3]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
79.8
83.4
113.6
112.9
104
109.9
99
106.3
128.9
111.1
102.9
130
87
87.5
117.6
103.4
110.8
112.6
102.5
112.4
135.6
105.1
127.7
137
91
90.5
122.4
123.3
124.3
120
118.1
119
142.7
123.6
129.6
151.6
110.4
99.2
130.5
136.2
129.7
128
121.6
135.8
143.8
147.5
136.2
156.6
123.3
104.5
139.8
136.5
112.1
118.5
94.4
102.3
111.4
99.2
87.8
115.8

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=63515&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=63515&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63515&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
1106.81666666666715.072240186595550.2
2111.616.228258182453350
3121.34166666666717.446982460290961.1
4131.29166666666715.674093178544657.4
5112.13333333333315.860776854373952

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 106.816666666667 & 15.0722401865955 & 50.2 \tabularnewline
2 & 111.6 & 16.2282581824533 & 50 \tabularnewline
3 & 121.341666666667 & 17.4469824602909 & 61.1 \tabularnewline
4 & 131.291666666667 & 15.6740931785446 & 57.4 \tabularnewline
5 & 112.133333333333 & 15.8607768543739 & 52 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63515&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]106.816666666667[/C][C]15.0722401865955[/C][C]50.2[/C][/ROW]
[ROW][C]2[/C][C]111.6[/C][C]16.2282581824533[/C][C]50[/C][/ROW]
[ROW][C]3[/C][C]121.341666666667[/C][C]17.4469824602909[/C][C]61.1[/C][/ROW]
[ROW][C]4[/C][C]131.291666666667[/C][C]15.6740931785446[/C][C]57.4[/C][/ROW]
[ROW][C]5[/C][C]112.133333333333[/C][C]15.8607768543739[/C][C]52[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63515&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63515&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
1106.81666666666715.072240186595550.2
2111.616.228258182453350
3121.34166666666717.446982460290961.1
4131.29166666666715.674093178544657.4
5112.13333333333315.860776854373952






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha12.7881272626595
beta0.0280215733456498
S.D.0.0497908504506689
T-STAT0.562785593980016
p-value0.61289722865196

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 12.7881272626595 \tabularnewline
beta & 0.0280215733456498 \tabularnewline
S.D. & 0.0497908504506689 \tabularnewline
T-STAT & 0.562785593980016 \tabularnewline
p-value & 0.61289722865196 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63515&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]12.7881272626595[/C][/ROW]
[ROW][C]beta[/C][C]0.0280215733456498[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0497908504506689[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.562785593980016[/C][/ROW]
[ROW][C]p-value[/C][C]0.61289722865196[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63515&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63515&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)
alpha12.7881272626595
beta0.0280215733456498
S.D.0.0497908504506689
T-STAT0.562785593980016
p-value0.61289722865196






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha1.71024664796087
beta0.223843890280602
S.D.0.359787281113805
T-STAT0.622156207377984
p-value0.577920374505756
Lambda0.776156109719398

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & 1.71024664796087 \tabularnewline
beta & 0.223843890280602 \tabularnewline
S.D. & 0.359787281113805 \tabularnewline
T-STAT & 0.622156207377984 \tabularnewline
p-value & 0.577920374505756 \tabularnewline
Lambda & 0.776156109719398 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63515&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]1.71024664796087[/C][/ROW]
[ROW][C]beta[/C][C]0.223843890280602[/C][/ROW]
[ROW][C]S.D.[/C][C]0.359787281113805[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.622156207377984[/C][/ROW]
[ROW][C]p-value[/C][C]0.577920374505756[/C][/ROW]
[ROW][C]Lambda[/C][C]0.776156109719398[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63515&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63515&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)
alpha1.71024664796087
beta0.223843890280602
S.D.0.359787281113805
T-STAT0.622156207377984
p-value0.577920374505756
Lambda0.776156109719398


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')