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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_smp.wasp
Title produced by softwareStandard Deviation-Mean Plot
Date of computationFri, 27 Nov 2009 07:23:53 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/27/t1259331877x0kufebyj5oocq7.htm/, Retrieved Mon, 29 Apr 2024 00:12:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=60809, Retrieved Mon, 29 Apr 2024 00:12:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Standard Deviation-Mean Plot] [Identifying Integ...] [2009-11-22 12:50:05] [b98453cac15ba1066b407e146608df68]
-   PD          [Standard Deviation-Mean Plot] [WS 8: SMP] [2009-11-27 14:23:53] [17b3de9cda9f51722106e41c76160a49] [Current]
-   P             [Standard Deviation-Mean Plot] [WS 8: Standard De...] [2009-12-04 23:11:47] [8cf9233b7464ea02e32be3b30fdac052]
-   P             [Standard Deviation-Mean Plot] [WS 8: Standard De...] [2009-12-04 23:11:47] [8cf9233b7464ea02e32be3b30fdac052]
-   P             [Standard Deviation-Mean Plot] [WS 8: Standard De...] [2009-12-04 23:11:47] [8cf9233b7464ea02e32be3b30fdac052]
-   P             [Standard Deviation-Mean Plot] [WS 8: Standard De...] [2009-12-04 23:11:47] [8cf9233b7464ea02e32be3b30fdac052]
-   P             [Standard Deviation-Mean Plot] [WS 8: Standard De...] [2009-12-04 23:11:47] [8cf9233b7464ea02e32be3b30fdac052]
-   P             [Standard Deviation-Mean Plot] [WS 8: Standard De...] [2009-12-04 23:51:34] [8cf9233b7464ea02e32be3b30fdac052]
-   PD            [Standard Deviation-Mean Plot] [Paper: Standard D...] [2009-12-14 08:50:09] [b97b96148b0223bc16666763988dc147]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
114
116
153
162
161
149
139
135
130
127
122
117
112
113
149
157
157
147
137
132
125
123
117
114
111
112
144
150
149
134
123
116
117
111
105
102
95
93
124
130
124
115
106
105
105
101
95
93
84
87
116
120
117
109
105
107
109
109
108
107

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60809&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=60809&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60809&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' @ 72.249.127.135






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
1135.41666666666717.380544678845248
2131.91666666666717.132947171688845
3122.83333333333317.124322592220248
4107.16666666666713.127579111676837
5106.510.841838153443136

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 135.416666666667 & 17.3805446788452 & 48 \tabularnewline
2 & 131.916666666667 & 17.1329471716888 & 45 \tabularnewline
3 & 122.833333333333 & 17.1243225922202 & 48 \tabularnewline
4 & 107.166666666667 & 13.1275791116768 & 37 \tabularnewline
5 & 106.5 & 10.8418381534431 & 36 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60809&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]135.416666666667[/C][C]17.3805446788452[/C][C]48[/C][/ROW]
[ROW][C]2[/C][C]131.916666666667[/C][C]17.1329471716888[/C][C]45[/C][/ROW]
[ROW][C]3[/C][C]122.833333333333[/C][C]17.1243225922202[/C][C]48[/C][/ROW]
[ROW][C]4[/C][C]107.166666666667[/C][C]13.1275791116768[/C][C]37[/C][/ROW]
[ROW][C]5[/C][C]106.5[/C][C]10.8418381534431[/C][C]36[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=60809&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60809&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
1135.41666666666717.380544678845248
2131.91666666666717.132947171688845
3122.83333333333317.124322592220248
4107.16666666666713.127579111676837
5106.510.841838153443136






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-9.27827841931084
beta0.202040227111943
S.D.0.0504314880266232
T-STAT4.00623172184181
p-value0.0278945480109502

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -9.27827841931084 \tabularnewline
beta & 0.202040227111943 \tabularnewline
S.D. & 0.0504314880266232 \tabularnewline
T-STAT & 4.00623172184181 \tabularnewline
p-value & 0.0278945480109502 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60809&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-9.27827841931084[/C][/ROW]
[ROW][C]beta[/C][C]0.202040227111943[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0504314880266232[/C][/ROW]
[ROW][C]T-STAT[/C][C]4.00623172184181[/C][/ROW]
[ROW][C]p-value[/C][C]0.0278945480109502[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=60809&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60809&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-9.27827841931084
beta0.202040227111943
S.D.0.0504314880266232
T-STAT4.00623172184181
p-value0.0278945480109502






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-5.48113682544837
beta1.70818836284769
S.D.0.445390378944277
T-STAT3.8352610285311
p-value0.0312492340260885
Lambda-0.708188362847687

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -5.48113682544837 \tabularnewline
beta & 1.70818836284769 \tabularnewline
S.D. & 0.445390378944277 \tabularnewline
T-STAT & 3.8352610285311 \tabularnewline
p-value & 0.0312492340260885 \tabularnewline
Lambda & -0.708188362847687 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=60809&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-5.48113682544837[/C][/ROW]
[ROW][C]beta[/C][C]1.70818836284769[/C][/ROW]
[ROW][C]S.D.[/C][C]0.445390378944277[/C][/ROW]
[ROW][C]T-STAT[/C][C]3.8352610285311[/C][/ROW]
[ROW][C]p-value[/C][C]0.0312492340260885[/C][/ROW]
[ROW][C]Lambda[/C][C]-0.708188362847687[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=60809&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=60809&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-5.48113682544837
beta1.70818836284769
S.D.0.445390378944277
T-STAT3.8352610285311
p-value0.0312492340260885
Lambda-0.708188362847687


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 2 ; par4 = 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')