FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationSun, 20 Dec 2009 09:02:16 -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/Dec/20/t1261325069cjf253pt1ez5f5e.htm/, Retrieved Sat, 27 Apr 2024 12:34:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69924, Retrieved Sat, 27 Apr 2024 12:34:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsShw Paper stationair maken Yt SMP methode
Estimated Impact138

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]
-    D        [Standard Deviation-Mean Plot] [SHWWS8.8methode SMP] [2009-11-27 16:49:46] [e0fc65a5811681d807296d590d5b45de]
-    D            [Standard Deviation-Mean Plot] [Paper stationair ...] [2009-12-20 16:02:16] [51108381f3361ca8af49c4f74052c840] [Current]
-    D              [Standard Deviation-Mean Plot] [Paper; toepassing...] [2009-12-21 13:56:38] [e0fc65a5811681d807296d590d5b45de]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
152,60
153,32
165,50
139,18
136,53
115,92
96,65
83,77
84,66
106,03
86,92
54,66
151,66
121,27
132,95
119,64
122,16
117,44
106,69
87,45
80,98
110,30
87,01
55,73
146,00
137,54
138,54
135,62
107,27
99,04
91,36
68,35
82,59
98,41
71,25
47,58
130,83
113,60
125,69
113,60
97,12
104,43
91,84
75,11
89,24
110,23
78,42
68,45
122,81
129,66
159,06
139,03
102,16
113,59
81,46
77,36
87,57
101,23
87,21
64,94
133,12
117,99
135,90
125,67
108,03
128,31
84,74
86,38
92,24
95,83
92,33
54,27

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=69924&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=69924&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69924&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
1114.64534.6703878101917110.84
2107.77333333333326.044376930481095.93
3101.962531.970657605486898.42
499.8819.944829815359162.38
5105.50666666666728.029231602782694.12
6104.567524.550441627207281.63

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 114.645 & 34.6703878101917 & 110.84 \tabularnewline
2 & 107.773333333333 & 26.0443769304810 & 95.93 \tabularnewline
3 & 101.9625 & 31.9706576054868 & 98.42 \tabularnewline
4 & 99.88 & 19.9448298153591 & 62.38 \tabularnewline
5 & 105.506666666667 & 28.0292316027826 & 94.12 \tabularnewline
6 & 104.5675 & 24.5504416272072 & 81.63 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69924&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]114.645[/C][C]34.6703878101917[/C][C]110.84[/C][/ROW]
[ROW][C]2[/C][C]107.773333333333[/C][C]26.0443769304810[/C][C]95.93[/C][/ROW]
[ROW][C]3[/C][C]101.9625[/C][C]31.9706576054868[/C][C]98.42[/C][/ROW]
[ROW][C]4[/C][C]99.88[/C][C]19.9448298153591[/C][C]62.38[/C][/ROW]
[ROW][C]5[/C][C]105.506666666667[/C][C]28.0292316027826[/C][C]94.12[/C][/ROW]
[ROW][C]6[/C][C]104.5675[/C][C]24.5504416272072[/C][C]81.63[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69924&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69924&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
1114.64534.6703878101917110.84
2107.77333333333326.044376930481095.93
3101.962531.970657605486898.42
499.8819.944829815359162.38
5105.50666666666728.029231602782694.12
6104.567524.550441627207281.63






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-45.0350768495175
beta0.686420245593595
S.D.0.378997259873781
T-STAT1.81114830704105
p-value0.144354440302441

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -45.0350768495175 \tabularnewline
beta & 0.686420245593595 \tabularnewline
S.D. & 0.378997259873781 \tabularnewline
T-STAT & 1.81114830704105 \tabularnewline
p-value & 0.144354440302441 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69924&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-45.0350768495175[/C][/ROW]
[ROW][C]beta[/C][C]0.686420245593595[/C][/ROW]
[ROW][C]S.D.[/C][C]0.378997259873781[/C][/ROW]
[ROW][C]T-STAT[/C][C]1.81114830704105[/C][/ROW]
[ROW][C]p-value[/C][C]0.144354440302441[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69924&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69924&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-45.0350768495175
beta0.686420245593595
S.D.0.378997259873781
T-STAT1.81114830704105
p-value0.144354440302441






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-9.4212261322254
beta2.72987834070670
S.D.1.52626663710512
T-STAT1.78859858057599
p-value0.148192290143725
Lambda-1.72987834070670

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -9.4212261322254 \tabularnewline
beta & 2.72987834070670 \tabularnewline
S.D. & 1.52626663710512 \tabularnewline
T-STAT & 1.78859858057599 \tabularnewline
p-value & 0.148192290143725 \tabularnewline
Lambda & -1.72987834070670 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69924&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-9.4212261322254[/C][/ROW]
[ROW][C]beta[/C][C]2.72987834070670[/C][/ROW]
[ROW][C]S.D.[/C][C]1.52626663710512[/C][/ROW]
[ROW][C]T-STAT[/C][C]1.78859858057599[/C][/ROW]
[ROW][C]p-value[/C][C]0.148192290143725[/C][/ROW]
[ROW][C]Lambda[/C][C]-1.72987834070670[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69924&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69924&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-9.4212261322254
beta2.72987834070670
S.D.1.52626663710512
T-STAT1.78859858057599
p-value0.148192290143725
Lambda-1.72987834070670


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')