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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 computationFri, 21 Nov 2014 18:51:00 +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/21/t1416595904nh6pyg72vv5o28y.htm/, Retrieved Sun, 19 May 2024 14:13:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=257712, Retrieved Sun, 19 May 2024 14:13:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81

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] [] [2014-11-21 18:51:00] [bdd4dd5e616b71837cf1c04213e8fe07] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
204,12
203,27
203,73
203,7
203,44
203,34
203,34
203,05
202,71
202,51
203,45
203,04
203,04
202,87
202,92
202,87
203,17
203,88
203,88
203,45
203,22
202,11
202,5
202,86
202,86
203,8
203,78
204,53
204,44
204,14
204,14
204,04
204,68
205,01
204,93
204,34
204,34
203,87
202,47
201,95
201,86
200,33
200,33
200,33
200,75
201,86
202,77
202,85
202,85
202,84
202,94
203,05
203,45
204,19
204,18
204,47
204,78
206,05
206,32
206,36
205,21
205,35
205,94
204,57
204,27
204,86
204,66
204,79
205,58
205,63
205,12
204,96

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=257712&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=257712&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=257712&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'Gertrude Mary Cox' @ cox.wessa.net






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
1203.3083333333330.4436385370041141.61000000000001
2203.0641666666670.5119207739366251.76999999999998
3204.2241666666670.5849080476813612.14999999999998
4201.9758333333331.364241103280054.00999999999999
5204.291.349740715841383.52000000000001
6205.0783333333330.4883149753504541.66999999999999

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 203.308333333333 & 0.443638537004114 & 1.61000000000001 \tabularnewline
2 & 203.064166666667 & 0.511920773936625 & 1.76999999999998 \tabularnewline
3 & 204.224166666667 & 0.584908047681361 & 2.14999999999998 \tabularnewline
4 & 201.975833333333 & 1.36424110328005 & 4.00999999999999 \tabularnewline
5 & 204.29 & 1.34974071584138 & 3.52000000000001 \tabularnewline
6 & 205.078333333333 & 0.488314975350454 & 1.66999999999999 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=257712&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]203.308333333333[/C][C]0.443638537004114[/C][C]1.61000000000001[/C][/ROW]
[ROW][C]2[/C][C]203.064166666667[/C][C]0.511920773936625[/C][C]1.76999999999998[/C][/ROW]
[ROW][C]3[/C][C]204.224166666667[/C][C]0.584908047681361[/C][C]2.14999999999998[/C][/ROW]
[ROW][C]4[/C][C]201.975833333333[/C][C]1.36424110328005[/C][C]4.00999999999999[/C][/ROW]
[ROW][C]5[/C][C]204.29[/C][C]1.34974071584138[/C][C]3.52000000000001[/C][/ROW]
[ROW][C]6[/C][C]205.078333333333[/C][C]0.488314975350454[/C][C]1.66999999999999[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=257712&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=257712&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
1203.3083333333330.4436385370041141.61000000000001
2203.0641666666670.5119207739366251.76999999999998
3204.2241666666670.5849080476813612.14999999999998
4201.9758333333331.364241103280054.00999999999999
5204.291.349740715841383.52000000000001
6205.0783333333330.4883149753504541.66999999999999






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha30.1353261949611
beta-0.144089785866615
S.D.0.187317782468291
T-STAT-0.769226412826055
p-value0.484663790562701

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 30.1353261949611 \tabularnewline
beta & -0.144089785866615 \tabularnewline
S.D. & 0.187317782468291 \tabularnewline
T-STAT & -0.769226412826055 \tabularnewline
p-value & 0.484663790562701 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=257712&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]30.1353261949611[/C][/ROW]
[ROW][C]beta[/C][C]-0.144089785866615[/C][/ROW]
[ROW][C]S.D.[/C][C]0.187317782468291[/C][/ROW]
[ROW][C]T-STAT[/C][C]-0.769226412826055[/C][/ROW]
[ROW][C]p-value[/C][C]0.484663790562701[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=257712&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=257712&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)
alpha30.1353261949611
beta-0.144089785866615
S.D.0.187317782468291
T-STAT-0.769226412826055
p-value0.484663790562701






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha174.715803419365
beta-32.930020744181
S.D.45.0835005351643
T-STAT-0.730422889821881
p-value0.505611362394233
Lambda33.930020744181

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & 174.715803419365 \tabularnewline
beta & -32.930020744181 \tabularnewline
S.D. & 45.0835005351643 \tabularnewline
T-STAT & -0.730422889821881 \tabularnewline
p-value & 0.505611362394233 \tabularnewline
Lambda & 33.930020744181 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=257712&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]174.715803419365[/C][/ROW]
[ROW][C]beta[/C][C]-32.930020744181[/C][/ROW]
[ROW][C]S.D.[/C][C]45.0835005351643[/C][/ROW]
[ROW][C]T-STAT[/C][C]-0.730422889821881[/C][/ROW]
[ROW][C]p-value[/C][C]0.505611362394233[/C][/ROW]
[ROW][C]Lambda[/C][C]33.930020744181[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=257712&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=257712&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)
alpha174.715803419365
beta-32.930020744181
S.D.45.0835005351643
T-STAT-0.730422889821881
p-value0.505611362394233
Lambda33.930020744181


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')