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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 computationThu, 26 Apr 2012 13:21:17 -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/26/t1335461033hct60oen8zse48u.htm/, Retrieved Mon, 29 Apr 2024 04:00:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=164941, Retrieved Mon, 29 Apr 2024 04:00:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87

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] [opgave 8 oefening...] [2012-04-26 17:21:17] [0557341c9fb01f967ad344d41189c66a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12 693,7
13154
15405,1
13869,4
12827,7
15716,7
13012,5
12837,6
15052,7
15002,6
14839,6
15022,6
14097,8
14776,8
16833,3
15385,5
15172,6
16858,9
14143,5
14731,8
16471,6
15214
17637,4
17972,4
16896,2
16698
19691,6
15930,7
17444,6
17699,4
15189,8
15672,7
17180,8
17664,9
17862,9
16162,3
17463,6
16772,1
19106,9
16721,3
18161,3
18509,9
17802,7
16409,9
17967,7
20286,6
19537,3
18021,9
20194,3
19049,6
20244,7
21473,3
19673,6
21053,2
20159,5
18203,6
21289,5
20432,3
17180,4
15816,8

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=164941&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=164941&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164941&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
114119.51666666671158.124911486693023
215774.63333333331330.275677057093874.6
317007.8251211.154742853434501.8
418063.43333333331169.856011600913876.7
519564.23333333331723.106415926215656.5

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 14119.5166666667 & 1158.12491148669 & 3023 \tabularnewline
2 & 15774.6333333333 & 1330.27567705709 & 3874.6 \tabularnewline
3 & 17007.825 & 1211.15474285343 & 4501.8 \tabularnewline
4 & 18063.4333333333 & 1169.85601160091 & 3876.7 \tabularnewline
5 & 19564.2333333333 & 1723.10641592621 & 5656.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164941&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]14119.5166666667[/C][C]1158.12491148669[/C][C]3023[/C][/ROW]
[ROW][C]2[/C][C]15774.6333333333[/C][C]1330.27567705709[/C][C]3874.6[/C][/ROW]
[ROW][C]3[/C][C]17007.825[/C][C]1211.15474285343[/C][C]4501.8[/C][/ROW]
[ROW][C]4[/C][C]18063.4333333333[/C][C]1169.85601160091[/C][C]3876.7[/C][/ROW]
[ROW][C]5[/C][C]19564.2333333333[/C][C]1723.10641592621[/C][C]5656.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164941&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164941&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
114119.51666666671158.124911486693023
215774.63333333331330.275677057093874.6
317007.8251211.154742853434501.8
418063.43333333331169.856011600913876.7
519564.23333333331723.106415926215656.5






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha34.5159989825588
beta0.0759489527866196
S.D.0.0483521294154117
T-STAT1.57074680484313
p-value0.214271903563757

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 34.5159989825588 \tabularnewline
beta & 0.0759489527866196 \tabularnewline
S.D. & 0.0483521294154117 \tabularnewline
T-STAT & 1.57074680484313 \tabularnewline
p-value & 0.214271903563757 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164941&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]34.5159989825588[/C][/ROW]
[ROW][C]beta[/C][C]0.0759489527866196[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0483521294154117[/C][/ROW]
[ROW][C]T-STAT[/C][C]1.57074680484313[/C][/ROW]
[ROW][C]p-value[/C][C]0.214271903563757[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164941&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164941&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)
alpha34.5159989825588
beta0.0759489527866196
S.D.0.0483521294154117
T-STAT1.57074680484313
p-value0.214271903563757






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-1.04510490143691
beta0.844654642947769
S.D.0.585526957165433
T-STAT1.44255466398471
p-value0.244834488308542
Lambda0.155345357052231

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -1.04510490143691 \tabularnewline
beta & 0.844654642947769 \tabularnewline
S.D. & 0.585526957165433 \tabularnewline
T-STAT & 1.44255466398471 \tabularnewline
p-value & 0.244834488308542 \tabularnewline
Lambda & 0.155345357052231 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=164941&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-1.04510490143691[/C][/ROW]
[ROW][C]beta[/C][C]0.844654642947769[/C][/ROW]
[ROW][C]S.D.[/C][C]0.585526957165433[/C][/ROW]
[ROW][C]T-STAT[/C][C]1.44255466398471[/C][/ROW]
[ROW][C]p-value[/C][C]0.244834488308542[/C][/ROW]
[ROW][C]Lambda[/C][C]0.155345357052231[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=164941&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=164941&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-1.04510490143691
beta0.844654642947769
S.D.0.585526957165433
T-STAT1.44255466398471
p-value0.244834488308542
Lambda0.155345357052231


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')