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Description of Statistical Computation

Author's title

Gemiddelde consumptieprijzen lange sigaretten spredings- en gemiddeldegrafi...

Author*Unverified author*
R Software Modulerwasp_smp.wasp
Title produced by softwareStandard Deviation-Mean Plot
Date of computationFri, 21 Nov 2014 22:34:51 +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/t141660938060nvmqtyr6lp1zq.htm/, Retrieved Mon, 20 May 2024 07:48:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=257767, Retrieved Mon, 20 May 2024 07:48:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact76

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] [Gemiddelde consum...] [2014-11-21 22:34:51] [34904d4daa687a283c33410e9d0f3c21] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.53
4.53
4.53
4.61
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.66
4.7
4.72
4.73
4.73
4.74
4.74
4.74
4.76
4.88
4.88
4.88
4.88
4.89
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.98
5
5.03
5.04
5.04
5.05
5.05
5.05
5.06
5.06
5.06
5.07
5.09
5.18
5.23
5.25
5.26
5.28
5.29
5.29
5.29
5.29
5.3
5.3
5.3
5.32
5.33
5.33
5.37
5.45
5.47
5.5
5.51

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'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=257767&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=257767&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=257767&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'Gwilym Jenkins' @ jenkins.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
14.603333333333330.04458563432181690.0999999999999996
24.721666666666670.06658328118479390.25
34.940833333333330.0431610795495060.0899999999999999
45.01750.03646293261032980.0899999999999999
55.195833333333330.09820741809912830.23
65.37250.08508017609076960.22

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 4.60333333333333 & 0.0445856343218169 & 0.0999999999999996 \tabularnewline
2 & 4.72166666666667 & 0.0665832811847939 & 0.25 \tabularnewline
3 & 4.94083333333333 & 0.043161079549506 & 0.0899999999999999 \tabularnewline
4 & 5.0175 & 0.0364629326103298 & 0.0899999999999999 \tabularnewline
5 & 5.19583333333333 & 0.0982074180991283 & 0.23 \tabularnewline
6 & 5.3725 & 0.0850801760907696 & 0.22 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=257767&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]4.60333333333333[/C][C]0.0445856343218169[/C][C]0.0999999999999996[/C][/ROW]
[ROW][C]2[/C][C]4.72166666666667[/C][C]0.0665832811847939[/C][C]0.25[/C][/ROW]
[ROW][C]3[/C][C]4.94083333333333[/C][C]0.043161079549506[/C][C]0.0899999999999999[/C][/ROW]
[ROW][C]4[/C][C]5.0175[/C][C]0.0364629326103298[/C][C]0.0899999999999999[/C][/ROW]
[ROW][C]5[/C][C]5.19583333333333[/C][C]0.0982074180991283[/C][C]0.23[/C][/ROW]
[ROW][C]6[/C][C]5.3725[/C][C]0.0850801760907696[/C][C]0.22[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=257767&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=257767&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
14.603333333333330.04458563432181690.0999999999999996
24.721666666666670.06658328118479390.25
34.940833333333330.0431610795495060.0899999999999999
45.01750.03646293261032980.0899999999999999
55.195833333333330.09820741809912830.23
65.37250.08508017609076960.22






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-0.20375733340983
beta0.053485272368332
S.D.0.0347948087641754
T-STAT1.53716241784321
p-value0.199068058103144

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -0.20375733340983 \tabularnewline
beta & 0.053485272368332 \tabularnewline
S.D. & 0.0347948087641754 \tabularnewline
T-STAT & 1.53716241784321 \tabularnewline
p-value & 0.199068058103144 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=257767&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-0.20375733340983[/C][/ROW]
[ROW][C]beta[/C][C]0.053485272368332[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0347948087641754[/C][/ROW]
[ROW][C]T-STAT[/C][C]1.53716241784321[/C][/ROW]
[ROW][C]p-value[/C][C]0.199068058103144[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=257767&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=257767&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)
alpha-0.20375733340983
beta0.053485272368332
S.D.0.0347948087641754
T-STAT1.53716241784321
p-value0.199068058103144






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-8.96681357682851
beta3.81992014601397
S.D.2.9290380741056
T-STAT1.30415516950233
p-value0.262163380866641
Lambda-2.81992014601397

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -8.96681357682851 \tabularnewline
beta & 3.81992014601397 \tabularnewline
S.D. & 2.9290380741056 \tabularnewline
T-STAT & 1.30415516950233 \tabularnewline
p-value & 0.262163380866641 \tabularnewline
Lambda & -2.81992014601397 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=257767&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-8.96681357682851[/C][/ROW]
[ROW][C]beta[/C][C]3.81992014601397[/C][/ROW]
[ROW][C]S.D.[/C][C]2.9290380741056[/C][/ROW]
[ROW][C]T-STAT[/C][C]1.30415516950233[/C][/ROW]
[ROW][C]p-value[/C][C]0.262163380866641[/C][/ROW]
[ROW][C]Lambda[/C][C]-2.81992014601397[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=257767&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=257767&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-8.96681357682851
beta3.81992014601397
S.D.2.9290380741056
T-STAT1.30415516950233
p-value0.262163380866641
Lambda-2.81992014601397


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')