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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_smp.wasp
Title produced by softwareStandard Deviation-Mean Plot
Date of computationMon, 03 Dec 2007 04:27:21 -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/2007/Dec/03/t1196680543y5dh7tcjyffklvu.htm/, Retrieved Sat, 04 May 2024 01:06:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=2322, Retrieved Sat, 04 May 2024 01:06:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsex012008
Estimated Impact536

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] [omzet] [2007-12-03 11:27:21] [ef257666c09b3678397177defae7fd99] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
122302.01
109264.65
103674.75
103890.3
75512.66
83121.3
125096.81
74206.73
88481.63
111598.17
146919.48
150790.85
113780.5
110870.76
118785.32
112820.5
102188.92
97092.73
114067.82
89690.15
89267.9
96198.64
129599.75
169424.7
152510.91
121850.2
144737.64
121381.88
106894.86
94305.06
116800.42
77584.28
100680.88
106634.05
168390.77
211971.89
136163.28
168950.25
89816.88
85406.93
66055.52
73311.68
85674.51
82822.59
94277.63
100991.65
149245.88
208517.17
40733.51
121352.23
104020.11
99566.82
101352.17
106628.41
109696.95
248696.37
105628.33
120449.17
136547.7
140896.42
131509.91
95450.31
133592.64
110332.9
88110.54
64931.25
98446.22
84212.38
77519.55
124806.02
102185.94
151348.79
124378.28
101433.13
126724.22
87461.88
95288.27
129055.33
107753.06
96364.03
71662.75
125666.24
456841.51
167642.32
167154.73
139685.18
119275.2
122746.05
107337.43
112584.89
133183.08
121152.57
119815.6
122858.44
152077.17
157221.96
140435.08
101455.09
104791.29
77226.59
84477.43
66227.74
89076.23
108924.43
83926.11
91764.8
120892.76
129952.42
135865.14
105512.77
96486.62
78064.88
92370.22
98454.46
96703.93
83170.95

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2322&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2322&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2322&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
1107904.94525387.8911210409110057.34
2111982.307521837.048146528173974.39
3126978.5737030.1045869110122155.01
4111769.497544020.6145494398131290.58
5119630.682547738.7995592383182640.85
6105203.87083333325776.787697251886417.54
7140855.918333333102580.396486387371167
8131257.69166666718856.838436346992948
999929.164166666722195.353120580168772.33

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 107904.945 & 25387.8911210409 & 110057.34 \tabularnewline
2 & 111982.3075 & 21837.0481465281 & 73974.39 \tabularnewline
3 & 126978.57 & 37030.1045869110 & 122155.01 \tabularnewline
4 & 111769.4975 & 44020.6145494398 & 131290.58 \tabularnewline
5 & 119630.6825 & 47738.7995592383 & 182640.85 \tabularnewline
6 & 105203.870833333 & 25776.7876972518 & 86417.54 \tabularnewline
7 & 140855.918333333 & 102580.396486387 & 371167 \tabularnewline
8 & 131257.691666667 & 18856.8384363469 & 92948 \tabularnewline
9 & 99929.1641666667 & 22195.3531205801 & 68772.33 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2322&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]107904.945[/C][C]25387.8911210409[/C][C]110057.34[/C][/ROW]
[ROW][C]2[/C][C]111982.3075[/C][C]21837.0481465281[/C][C]73974.39[/C][/ROW]
[ROW][C]3[/C][C]126978.57[/C][C]37030.1045869110[/C][C]122155.01[/C][/ROW]
[ROW][C]4[/C][C]111769.4975[/C][C]44020.6145494398[/C][C]131290.58[/C][/ROW]
[ROW][C]5[/C][C]119630.6825[/C][C]47738.7995592383[/C][C]182640.85[/C][/ROW]
[ROW][C]6[/C][C]105203.870833333[/C][C]25776.7876972518[/C][C]86417.54[/C][/ROW]
[ROW][C]7[/C][C]140855.918333333[/C][C]102580.396486387[/C][C]371167[/C][/ROW]
[ROW][C]8[/C][C]131257.691666667[/C][C]18856.8384363469[/C][C]92948[/C][/ROW]
[ROW][C]9[/C][C]99929.1641666667[/C][C]22195.3531205801[/C][C]68772.33[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2322&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2322&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
1107904.94525387.8911210409110057.34
2111982.307521837.048146528173974.39
3126978.5737030.1045869110122155.01
4111769.497544020.6145494398131290.58
5119630.682547738.7995592383182640.85
6105203.87083333325776.787697251886417.54
7140855.918333333102580.396486387371167
8131257.69166666718856.838436346992948
999929.164166666722195.353120580168772.33






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha-112765.338322219
beta1.28876890468875
S.D.0.552807118803576
T-STAT2.33131749004606
p-value0.0525119334665652

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & -112765.338322219 \tabularnewline
beta & 1.28876890468875 \tabularnewline
S.D. & 0.552807118803576 \tabularnewline
T-STAT & 2.33131749004606 \tabularnewline
p-value & 0.0525119334665652 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2322&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-112765.338322219[/C][/ROW]
[ROW][C]beta[/C][C]1.28876890468875[/C][/ROW]
[ROW][C]S.D.[/C][C]0.552807118803576[/C][/ROW]
[ROW][C]T-STAT[/C][C]2.33131749004606[/C][/ROW]
[ROW][C]p-value[/C][C]0.0525119334665652[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2322&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2322&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-112765.338322219
beta1.28876890468875
S.D.0.552807118803576
T-STAT2.33131749004606
p-value0.0525119334665652






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-21.6432807614579
beta2.74721471120647
S.D.1.46458819044373
T-STAT1.87575915819323
p-value0.102804439013778
Lambda-1.74721471120647

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -21.6432807614579 \tabularnewline
beta & 2.74721471120647 \tabularnewline
S.D. & 1.46458819044373 \tabularnewline
T-STAT & 1.87575915819323 \tabularnewline
p-value & 0.102804439013778 \tabularnewline
Lambda & -1.74721471120647 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=2322&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-21.6432807614579[/C][/ROW]
[ROW][C]beta[/C][C]2.74721471120647[/C][/ROW]
[ROW][C]S.D.[/C][C]1.46458819044373[/C][/ROW]
[ROW][C]T-STAT[/C][C]1.87575915819323[/C][/ROW]
[ROW][C]p-value[/C][C]0.102804439013778[/C][/ROW]
[ROW][C]Lambda[/C][C]-1.74721471120647[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=2322&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=2322&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-21.6432807614579
beta2.74721471120647
S.D.1.46458819044373
T-STAT1.87575915819323
p-value0.102804439013778
Lambda-1.74721471120647


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = ward ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;
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')