FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_smp.wasp
Title produced by softwareStandard Deviation-Mean Plot
Date of computationWed, 09 Jan 2013 20:50:29 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Jan/09/t1357782675qtdgnx2ycex2o9k.htm/, Retrieved Mon, 29 Apr 2024 14:50:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205126, Retrieved Mon, 29 Apr 2024 14:50:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118

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 oef 3 St...] [2013-01-10 01:50:29] [40325e7317026cf0d36242170f65df44] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.81
101.72
101.78
102.04
102.36
102.56
102.69
102.77
102.85
102.9
102.72
102.79
102.9
102.91
103.29
103.35
102.97
103.05
103.18
103.21
103.32
103.31
103.6
103.68
103.77
103.82
103.86
103.9
103.63
103.65
103.7
103.77
103.94
104.03
104.03
104.29
104.35
104.67
104.73
104.86
104.05
104.15
104.27
104.33
104.41
104.4
104.41
104.6
104.61
104.65
104.55
104.51
104.74
104.89
104.91
104.93
104.95
104.97
105.16
105.29
105.35
105.36
105.45
105.3
105.73
105.86
105.85
105.95
105.97
106.15
105.37
105.39

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' @ 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205126&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205126&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205126&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' @ jenkins.wessa.net






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
1102.4158333333330.4549417212093981.18000000000001
2103.2308333333330.2497438081253860.780000000000001
3103.8658333333330.1884606702801010.660000000000011
4104.4358333333330.2388403168849370.810000000000002
5104.8466666666670.2413723390544290.780000000000001
6105.6441666666670.3037779791328880.850000000000009

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 102.415833333333 & 0.454941721209398 & 1.18000000000001 \tabularnewline
2 & 103.230833333333 & 0.249743808125386 & 0.780000000000001 \tabularnewline
3 & 103.865833333333 & 0.188460670280101 & 0.660000000000011 \tabularnewline
4 & 104.435833333333 & 0.238840316884937 & 0.810000000000002 \tabularnewline
5 & 104.846666666667 & 0.241372339054429 & 0.780000000000001 \tabularnewline
6 & 105.644166666667 & 0.303777979132888 & 0.850000000000009 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205126&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]102.415833333333[/C][C]0.454941721209398[/C][C]1.18000000000001[/C][/ROW]
[ROW][C]2[/C][C]103.230833333333[/C][C]0.249743808125386[/C][C]0.780000000000001[/C][/ROW]
[ROW][C]3[/C][C]103.865833333333[/C][C]0.188460670280101[/C][C]0.660000000000011[/C][/ROW]
[ROW][C]4[/C][C]104.435833333333[/C][C]0.238840316884937[/C][C]0.810000000000002[/C][/ROW]
[ROW][C]5[/C][C]104.846666666667[/C][C]0.241372339054429[/C][C]0.780000000000001[/C][/ROW]
[ROW][C]6[/C][C]105.644166666667[/C][C]0.303777979132888[/C][C]0.850000000000009[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205126&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205126&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
1102.4158333333330.4549417212093981.18000000000001
2103.2308333333330.2497438081253860.780000000000001
3103.8658333333330.1884606702801010.660000000000011
4104.4358333333330.2388403168849370.810000000000002
5104.8466666666670.2413723390544290.780000000000001
6105.6441666666670.3037779791328880.850000000000009






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha4.20992285397242
beta-0.0377657289100444
S.D.0.0356770960010504
T-STAT-1.05854268264807
p-value0.349496744748132

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 4.20992285397242 \tabularnewline
beta & -0.0377657289100444 \tabularnewline
S.D. & 0.0356770960010504 \tabularnewline
T-STAT & -1.05854268264807 \tabularnewline
p-value & 0.349496744748132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205126&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]4.20992285397242[/C][/ROW]
[ROW][C]beta[/C][C]-0.0377657289100444[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0356770960010504[/C][/ROW]
[ROW][C]T-STAT[/C][C]-1.05854268264807[/C][/ROW]
[ROW][C]p-value[/C][C]0.349496744748132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205126&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205126&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)
alpha4.20992285397242
beta-0.0377657289100444
S.D.0.0356770960010504
T-STAT-1.05854268264807
p-value0.349496744748132






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha47.5812056811872
beta-10.5264847698053
S.D.12.3920404893173
T-STAT-0.849455324075143
p-value0.44347932849336
Lambda11.5264847698053

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & 47.5812056811872 \tabularnewline
beta & -10.5264847698053 \tabularnewline
S.D. & 12.3920404893173 \tabularnewline
T-STAT & -0.849455324075143 \tabularnewline
p-value & 0.44347932849336 \tabularnewline
Lambda & 11.5264847698053 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205126&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]47.5812056811872[/C][/ROW]
[ROW][C]beta[/C][C]-10.5264847698053[/C][/ROW]
[ROW][C]S.D.[/C][C]12.3920404893173[/C][/ROW]
[ROW][C]T-STAT[/C][C]-0.849455324075143[/C][/ROW]
[ROW][C]p-value[/C][C]0.44347932849336[/C][/ROW]
[ROW][C]Lambda[/C][C]11.5264847698053[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205126&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205126&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)
alpha47.5812056811872
beta-10.5264847698053
S.D.12.3920404893173
T-STAT-0.849455324075143
p-value0.44347932849336
Lambda11.5264847698053


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')