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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 computationThu, 12 Mar 2015 16:44:18 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Mar/12/t14261786809adhs4qt8ij30td.htm/, Retrieved Wed, 15 May 2024 18:28:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=278316, Retrieved Wed, 15 May 2024 18:28:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113

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] [omzetontwikkeling...] [2015-03-12 16:44:18] [48109ce6b54c2eacc50b3a62a110bb1c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
93.6
103.5
127
117.5
111.5
137.6
103.2
86.9
124.4
113.6
101.6
148.5
108.3
117.2
128.7
116.5
131.7
139.9
107.4
96.1
126.5
116.4
109.8
148
111.4
117
141.7
120
132.1
146.7
122.5
99.6
122.7
139
117.8
125.5
134.5
121.3
126.7
117.7
123
132.1
113.1
89.2
121.7
105.3
85.3
105.3
72.2
92.1
97.2
78.6
78.1
93
81
65.9
88.6
85.7
76.3
96.8
76.8
85.6
119.2
91.4
95.7
112.3
95.2
82.8
111.3
108.2
97
124.4
99.3
117.6
131.5
114.2
116.8
116.5
105.4
89.2
115.8
111.4
106.4
128.4
107.7
111
129.8
130.5
142.9
159.9
84.1
75
100.7
106.8
97.4
113
76.9
87.3
103.7
92.1
92.9
112.2
88.7
74.6
101.5
119.7
120.7
153.5

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' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=278316&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=278316&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=278316&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' @ jenkins.wessa.net






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
1114.07518.025695043969461.6
2120.54166666666714.879116440857851.9
3124.66666666666713.408296843463247.1
4114.615.675748495975949.2
583.791666666666710.033259085600631.3
699.991666666666715.00348191910747.6
7112.70833333333311.652269254865342.3
8113.23333333333324.169565134438884.9
9101.98333333333322.109184982854178.9

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 114.075 & 18.0256950439694 & 61.6 \tabularnewline
2 & 120.541666666667 & 14.8791164408578 & 51.9 \tabularnewline
3 & 124.666666666667 & 13.4082968434632 & 47.1 \tabularnewline
4 & 114.6 & 15.6757484959759 & 49.2 \tabularnewline
5 & 83.7916666666667 & 10.0332590856006 & 31.3 \tabularnewline
6 & 99.9916666666667 & 15.003481919107 & 47.6 \tabularnewline
7 & 112.708333333333 & 11.6522692548653 & 42.3 \tabularnewline
8 & 113.233333333333 & 24.1695651344388 & 84.9 \tabularnewline
9 & 101.983333333333 & 22.1091849828541 & 78.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=278316&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]114.075[/C][C]18.0256950439694[/C][C]61.6[/C][/ROW]
[ROW][C]2[/C][C]120.541666666667[/C][C]14.8791164408578[/C][C]51.9[/C][/ROW]
[ROW][C]3[/C][C]124.666666666667[/C][C]13.4082968434632[/C][C]47.1[/C][/ROW]
[ROW][C]4[/C][C]114.6[/C][C]15.6757484959759[/C][C]49.2[/C][/ROW]
[ROW][C]5[/C][C]83.7916666666667[/C][C]10.0332590856006[/C][C]31.3[/C][/ROW]
[ROW][C]6[/C][C]99.9916666666667[/C][C]15.003481919107[/C][C]47.6[/C][/ROW]
[ROW][C]7[/C][C]112.708333333333[/C][C]11.6522692548653[/C][C]42.3[/C][/ROW]
[ROW][C]8[/C][C]113.233333333333[/C][C]24.1695651344388[/C][C]84.9[/C][/ROW]
[ROW][C]9[/C][C]101.983333333333[/C][C]22.1091849828541[/C][C]78.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=278316&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=278316&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
1114.07518.025695043969461.6
2120.54166666666714.879116440857851.9
3124.66666666666713.408296843463247.1
4114.615.675748495975949.2
583.791666666666710.033259085600631.3
699.991666666666715.00348191910747.6
7112.70833333333311.652269254865342.3
8113.23333333333324.169565134438884.9
9101.98333333333322.109184982854178.9






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha8.151057266719
beta0.0726437775623722
S.D.0.138441400276824
T-STAT0.524725822023726
p-value0.615975989894943

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 8.151057266719 \tabularnewline
beta & 0.0726437775623722 \tabularnewline
S.D. & 0.138441400276824 \tabularnewline
T-STAT & 0.524725822023726 \tabularnewline
p-value & 0.615975989894943 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=278316&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]8.151057266719[/C][/ROW]
[ROW][C]beta[/C][C]0.0726437775623722[/C][/ROW]
[ROW][C]S.D.[/C][C]0.138441400276824[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.524725822023726[/C][/ROW]
[ROW][C]p-value[/C][C]0.615975989894943[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=278316&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=278316&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)
alpha8.151057266719
beta0.0726437775623722
S.D.0.138441400276824
T-STAT0.524725822023726
p-value0.615975989894943






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha-0.676544839179623
beta0.729224646750363
S.D.0.843053691471936
T-STAT0.864980076745963
p-value0.415705892709081
Lambda0.270775353249637

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & -0.676544839179623 \tabularnewline
beta & 0.729224646750363 \tabularnewline
S.D. & 0.843053691471936 \tabularnewline
T-STAT & 0.864980076745963 \tabularnewline
p-value & 0.415705892709081 \tabularnewline
Lambda & 0.270775353249637 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=278316&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]-0.676544839179623[/C][/ROW]
[ROW][C]beta[/C][C]0.729224646750363[/C][/ROW]
[ROW][C]S.D.[/C][C]0.843053691471936[/C][/ROW]
[ROW][C]T-STAT[/C][C]0.864980076745963[/C][/ROW]
[ROW][C]p-value[/C][C]0.415705892709081[/C][/ROW]
[ROW][C]Lambda[/C][C]0.270775353249637[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=278316&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=278316&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-0.676544839179623
beta0.729224646750363
S.D.0.843053691471936
T-STAT0.864980076745963
p-value0.415705892709081
Lambda0.270775353249637


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')