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Description of Statistical Computation

Author's title

standard deviation mean plot gemiddelde consumptieprijzen mineraalwater - R...

Author*Unverified author*
R Software Modulerwasp_smp.wasp
Title produced by softwareStandard Deviation-Mean Plot
Date of computationWed, 14 May 2008 10:58:54 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/May/14/t1210784375un3sljvxvq8xcc9.htm/, Retrieved Tue, 14 May 2024 02:33:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=12544, Retrieved Tue, 14 May 2024 02:33:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact217

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] [standard deviatio...] [2008-05-14 16:58:54] [6ea46950f179fadd193232743578f6bf] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,12
1,12
1,12
1,13
1,13
1,13
1,14
1,14
1,14
1,14
1,14
1,15
1,15
1,17
1,17
1,18
1,18
1,18
1,18
1,18
1,18
1,19
1,19
1,19
1,19
1,19
1,2
1,21
1,21
1,21
1,21
1,21
1,23
1,24
1,24
1,24
1,27
1,28
1,29
1,29
1,3
1,31
1,31
1,31
1,32
1,32
1,33
1,33
1,34
1,35
1,36
1,37
1,37
1,37
1,37
1,37
1,38
1,38
1,39
1,39
1,39
1,41
1,42
1,42
1,42
1,43
1,43
1,44
1,46
1,46
1,47
1,47
1,47
1,48
1,49
1,49
1,5
1,5
1,51
1,52
1,53
1,53
1,53
1,54

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=12544&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=12544&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=12544&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'George Udny Yule' @ 72.249.76.132






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
11.133333333333330.009847319278346550.0299999999999998
21.178333333333330.01114640858045430.04
31.2150.01834021909257460.05
41.3050.01930614598326850.06
51.370.01477097891751990.0499999999999998
61.4350.02540579747724020.08
71.50750.02261335084333230.07

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 1.13333333333333 & 0.00984731927834655 & 0.0299999999999998 \tabularnewline
2 & 1.17833333333333 & 0.0111464085804543 & 0.04 \tabularnewline
3 & 1.215 & 0.0183402190925746 & 0.05 \tabularnewline
4 & 1.305 & 0.0193061459832685 & 0.06 \tabularnewline
5 & 1.37 & 0.0147709789175199 & 0.0499999999999998 \tabularnewline
6 & 1.435 & 0.0254057974772402 & 0.08 \tabularnewline
7 & 1.5075 & 0.0226133508433323 & 0.07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=12544&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]1.13333333333333[/C][C]0.00984731927834655[/C][C]0.0299999999999998[/C][/ROW]
[ROW][C]2[/C][C]1.17833333333333[/C][C]0.0111464085804543[/C][C]0.04[/C][/ROW]
[ROW][C]3[/C][C]1.215[/C][C]0.0183402190925746[/C][C]0.05[/C][/ROW]
[ROW][C]4[/C][C]1.305[/C][C]0.0193061459832685[/C][C]0.06[/C][/ROW]
[ROW][C]5[/C][C]1.37[/C][C]0.0147709789175199[/C][C]0.0499999999999998[/C][/ROW]
[ROW][C]6[/C][C]1.435[/C][C]0.0254057974772402[/C][C]0.08[/C][/ROW]
[ROW][C]7[/C][C]1.5075[/C][C]0.0226133508433323[/C][C]0.07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=12544&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=12544&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
11.133333333333330.009847319278346550.0299999999999998
21.178333333333330.01114640858045430.04
31.2150.01834021909257460.05
41.3050.01930614598326850.06
51.370.01477097891751990.0499999999999998
61.4350.02540579747724020.08
71.50750.02261335084333230.07






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-0.0270128758584273
beta0.0339582995915495
S.D.0.010628770734858
T-STAT3.19494139432139
p-value0.0241312381194682

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -0.0270128758584273 \tabularnewline
beta & 0.0339582995915495 \tabularnewline
S.D. & 0.010628770734858 \tabularnewline
T-STAT & 3.19494139432139 \tabularnewline
p-value & 0.0241312381194682 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=12544&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-0.0270128758584273[/C][/ROW]
[ROW][C]beta[/C][C]0.0339582995915495[/C][/ROW]
[ROW][C]S.D.[/C][C]0.010628770734858[/C][/ROW]
[ROW][C]T-STAT[/C][C]3.19494139432139[/C][/ROW]
[ROW][C]p-value[/C][C]0.0241312381194682[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=12544&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=12544&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-0.0270128758584273
beta0.0339582995915495
S.D.0.010628770734858
T-STAT3.19494139432139
p-value0.0241312381194682






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-4.82991757301303
beta2.76001620738709
S.D.0.84274554620748
T-STAT3.27502912333111
p-value0.0220754522327169
Lambda-1.76001620738709

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -4.82991757301303 \tabularnewline
beta & 2.76001620738709 \tabularnewline
S.D. & 0.84274554620748 \tabularnewline
T-STAT & 3.27502912333111 \tabularnewline
p-value & 0.0220754522327169 \tabularnewline
Lambda & -1.76001620738709 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=12544&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-4.82991757301303[/C][/ROW]
[ROW][C]beta[/C][C]2.76001620738709[/C][/ROW]
[ROW][C]S.D.[/C][C]0.84274554620748[/C][/ROW]
[ROW][C]T-STAT[/C][C]3.27502912333111[/C][/ROW]
[ROW][C]p-value[/C][C]0.0220754522327169[/C][/ROW]
[ROW][C]Lambda[/C][C]-1.76001620738709[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=12544&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=12544&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-4.82991757301303
beta2.76001620738709
S.D.0.84274554620748
T-STAT3.27502912333111
p-value0.0220754522327169
Lambda-1.76001620738709


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')