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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 computationSun, 11 Dec 2016 16:12:47 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/11/t1481469438rmghketp833mv77.htm/, Retrieved Thu, 02 May 2024 08:51:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=298811, Retrieved Thu, 02 May 2024 08:51:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89

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] [Unemployment] [2010-11-29 10:34:47] [b98453cac15ba1066b407e146608df68]
- RMPD    [Standard Deviation-Mean Plot] [F1:N1809] [2016-12-11 14:01:05] [a4c5732063e280fade3b47e7f5057d96]
-    D        [Standard Deviation-Mean Plot] [F1:N224] [2016-12-11 15:12:47] [8d7b5e4c30a3b8052caee801f90adcea] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3104.8
2598.8
2644.4
2620.6
2375.8
2633
3525.8
3695.2
3811.2
4037.2
3890.8
3528.4
3491.6
3878.8
3993.6
4067.8
4332.4
5026.6
5322.8
5463.8
5556
5918.4
6107.2
6158.6
6283.8
6453.4
6104.2
6663.8
7380.8
7798.4
7743.4
7389.6
6300.8
6328.4
6563.8
6781.4
6963.2
7176
6953
7182.6
6893.6

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298811&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=298811&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298811&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
13205.5604.9959428864721661.4
24943.13333333333946.857959332612667
36815.98333333333601.9455575402351694.2

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 3205.5 & 604.995942886472 & 1661.4 \tabularnewline
2 & 4943.13333333333 & 946.85795933261 & 2667 \tabularnewline
3 & 6815.98333333333 & 601.945557540235 & 1694.2 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298811&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]3205.5[/C][C]604.995942886472[/C][C]1661.4[/C][/ROW]
[ROW][C]2[/C][C]4943.13333333333[/C][C]946.85795933261[/C][C]2667[/C][/ROW]
[ROW][C]3[/C][C]6815.98333333333[/C][C]601.945557540235[/C][C]1694.2[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=298811&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298811&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
13205.5604.9959428864721661.4
24943.13333333333946.857959332612667
36815.98333333333601.9455575402351694.2






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha733.985074117493
beta-0.00321797501839314
S.D.0.109752113438415
T-STAT-0.0293203922692463
p-value0.98133940473627

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 733.985074117493 \tabularnewline
beta & -0.00321797501839314 \tabularnewline
S.D. & 0.109752113438415 \tabularnewline
T-STAT & -0.0293203922692463 \tabularnewline
p-value & 0.98133940473627 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298811&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]733.985074117493[/C][/ROW]
[ROW][C]beta[/C][C]-0.00321797501839314[/C][/ROW]
[ROW][C]S.D.[/C][C]0.109752113438415[/C][/ROW]
[ROW][C]T-STAT[/C][C]-0.0293203922692463[/C][/ROW]
[ROW][C]p-value[/C][C]0.98133940473627[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=298811&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298811&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)
alpha733.985074117493
beta-0.00321797501839314
S.D.0.109752113438415
T-STAT-0.0293203922692463
p-value0.98133940473627






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha6.1129665559314
beta0.051943208547876
S.D.0.685026674157207
T-STAT0.0758265488154633
p-value0.951819519147489
Lambda0.948056791452124

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & 6.1129665559314 \tabularnewline
beta & 0.051943208547876 \tabularnewline
S.D. & 0.685026674157207 \tabularnewline
T-STAT & 0.0758265488154633 \tabularnewline
p-value & 0.951819519147489 \tabularnewline
Lambda & 0.948056791452124 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298811&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]6.1129665559314[/C][/ROW]
[ROW][C]beta[/C][C]0.051943208547876[/C][/ROW]
[ROW][C]S.D.[/C][C]0.685026674157207[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.0758265488154633[/C][/ROW]
[ROW][C]p-value[/C][C]0.951819519147489[/C][/ROW]
[ROW][C]Lambda[/C][C]0.948056791452124[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=298811&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298811&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)
alpha6.1129665559314
beta0.051943208547876
S.D.0.685026674157207
T-STAT0.0758265488154633
p-value0.951819519147489
Lambda0.948056791452124


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 12 ; par2 = Double ; par3 = additive ; par4 = 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')