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 computationSun, 12 Jan 2014 23:35:18 -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/2014/Jan/12/t13895878071r78mfro1rk6j2m.htm/, Retrieved Mon, 27 May 2024 13:09:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233102, Retrieved Mon, 27 May 2024 13:09:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsregressieparameters Karel De Grote-Hogeschool Valérie Weyts
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] [Standard deviatio...] [2014-01-13 04:35:18] [feb2df3f24188fb89c42f3077ec68a56] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100,17
101,13
99,25
99,69
101,04
99,79
100,35
101,45
100,4
100,52
102,52
101,23
102,14
101,06
100,31
101,18
101,28
101,99
101,34
100,5
103,74
104,19
102,23
103,32
104,67
103,22
102,64
105,26
103,63
102,71
104,34
102,92
105,92
107,39
105,68
105,86
107,05
106,77
105,88
106,23
107,53
105,51
107,37
105,61
108,38
109,6
106,62
105,69
107,06
105,67
106,24
107,9
105,91
106,44
107,69
105,9
108,59
111,36
109,36
109,21
111,3
109,21
110,95
110,89
111,04
108,96
110,5
109,02
112,87
112,73
113,28
113,53
112,99
112,68
114,26
114,28
114,28
114,2
113,64
114,2
116,68
116,73
118,71
117,8

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'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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233102&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233102&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233102&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'Gertrude Mary Cox' @ cox.wessa.net






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
1100.6283333333330.8980365788595123.27
2101.941.250876056646263.88
3104.521.531285853012554.75
4106.8533333333331.233600298706884.08999999999999
5107.6108333333331.75452380658655.69
6111.191.632014928630484.57000000000001
7115.03751.943264006767996.02999999999999

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 100.628333333333 & 0.898036578859512 & 3.27 \tabularnewline
2 & 101.94 & 1.25087605664626 & 3.88 \tabularnewline
3 & 104.52 & 1.53128585301255 & 4.75 \tabularnewline
4 & 106.853333333333 & 1.23360029870688 & 4.08999999999999 \tabularnewline
5 & 107.610833333333 & 1.7545238065865 & 5.69 \tabularnewline
6 & 111.19 & 1.63201492863048 & 4.57000000000001 \tabularnewline
7 & 115.0375 & 1.94326400676799 & 6.02999999999999 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233102&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]100.628333333333[/C][C]0.898036578859512[/C][C]3.27[/C][/ROW]
[ROW][C]2[/C][C]101.94[/C][C]1.25087605664626[/C][C]3.88[/C][/ROW]
[ROW][C]3[/C][C]104.52[/C][C]1.53128585301255[/C][C]4.75[/C][/ROW]
[ROW][C]4[/C][C]106.853333333333[/C][C]1.23360029870688[/C][C]4.08999999999999[/C][/ROW]
[ROW][C]5[/C][C]107.610833333333[/C][C]1.7545238065865[/C][C]5.69[/C][/ROW]
[ROW][C]6[/C][C]111.19[/C][C]1.63201492863048[/C][C]4.57000000000001[/C][/ROW]
[ROW][C]7[/C][C]115.0375[/C][C]1.94326400676799[/C][C]6.02999999999999[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233102&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233102&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
1100.6283333333330.8980365788595123.27
2101.941.250876056646263.88
3104.521.531285853012554.75
4106.8533333333331.233600298706884.08999999999999
5107.6108333333331.75452380658655.69
6111.191.632014928630484.57000000000001
7115.03751.943264006767996.02999999999999






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-4.94805230287615
beta0.0600176089883966
S.D.0.0164167826567862
T-STAT3.65586913362632
p-value0.0146580377389973

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -4.94805230287615 \tabularnewline
beta & 0.0600176089883966 \tabularnewline
S.D. & 0.0164167826567862 \tabularnewline
T-STAT & 3.65586913362632 \tabularnewline
p-value & 0.0146580377389973 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233102&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-4.94805230287615[/C][/ROW]
[ROW][C]beta[/C][C]0.0600176089883966[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0164167826567862[/C][/ROW]
[ROW][C]T-STAT[/C][C]3.65586913362632[/C][/ROW]
[ROW][C]p-value[/C][C]0.0146580377389973[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233102&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233102&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-4.94805230287615
beta0.0600176089883966
S.D.0.0164167826567862
T-STAT3.65586913362632
p-value0.0146580377389973






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-21.2986182647617
beta4.63601389939574
S.D.1.3757018826746
T-STAT3.36992625930157
p-value0.0198913079849165
Lambda-3.63601389939574

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -21.2986182647617 \tabularnewline
beta & 4.63601389939574 \tabularnewline
S.D. & 1.3757018826746 \tabularnewline
T-STAT & 3.36992625930157 \tabularnewline
p-value & 0.0198913079849165 \tabularnewline
Lambda & -3.63601389939574 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233102&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-21.2986182647617[/C][/ROW]
[ROW][C]beta[/C][C]4.63601389939574[/C][/ROW]
[ROW][C]S.D.[/C][C]1.3757018826746[/C][/ROW]
[ROW][C]T-STAT[/C][C]3.36992625930157[/C][/ROW]
[ROW][C]p-value[/C][C]0.0198913079849165[/C][/ROW]
[ROW][C]Lambda[/C][C]-3.63601389939574[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233102&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233102&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-21.2986182647617
beta4.63601389939574
S.D.1.3757018826746
T-STAT3.36992625930157
p-value0.0198913079849165
Lambda-3.63601389939574


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 <- '12'
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')