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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 computationFri, 18 Nov 2016 16:39:41 +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/2016/Nov/18/t1479487212057v6mqaz4gld5p.htm/, Retrieved Fri, 03 May 2024 05:00:07 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 03 May 2024 05:00:07 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
77.34
78.15
78.31
78.71
78.68
78.85
78.97
79.47
80.6
82.24
83.25
84.55
85.91
86.84
87.44
87.79
88.08
88.38
88.53
88.79
88.85
89.26
89.31
89.39
89.76
89.94
89.99
90.08
89.95
90.2
89.7
89.5
89.25
89.13
89.07
89.06
89.15
89.38
89.4
89.51
89.62
89.65
89.68
89.92
90.26
90.89
91.08
91.13
91.83
92.66
93.45
93.95
94.12
94.31
94.25
94.51
94.58
94.85
95.31
95.75
96.06
96.4
96.57
96.47
96.34
96.22
96.2
96.71
97.05
97.82
98.22
98.5
98.94
99.5
99.89
100
100.1
100.16
100.05
100.03
100
100.32
100.53
100.49
100.38
100.22
100.5
100.57
100.6
100.23
100.29
100.01
100.13
100.22
100.2
100.34
100.73
100.29
101.11
101.09
101.01
101.27
101.57
101.69
101
101.43
101.13
101.23

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Standard Deviation-Mean Plot
SectionMeanStandard DeviationRange
179.92666666666672.256366078185877.20999999999999
288.21416666666671.067498846781013.48
389.63583333333330.4185137845744021.14
489.97250.699130954048731.97999999999999
594.13083333333331.081862521372993.92
696.880.8376373700094582.44
7100.0008333333330.4314975683768691.59
8100.30750.1786375202368270.589999999999989
9101.1291666666670.3724234719029411.39999999999999

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 79.9266666666667 & 2.25636607818587 & 7.20999999999999 \tabularnewline
2 & 88.2141666666667 & 1.06749884678101 & 3.48 \tabularnewline
3 & 89.6358333333333 & 0.418513784574402 & 1.14 \tabularnewline
4 & 89.9725 & 0.69913095404873 & 1.97999999999999 \tabularnewline
5 & 94.1308333333333 & 1.08186252137299 & 3.92 \tabularnewline
6 & 96.88 & 0.837637370009458 & 2.44 \tabularnewline
7 & 100.000833333333 & 0.431497568376869 & 1.59 \tabularnewline
8 & 100.3075 & 0.178637520236827 & 0.589999999999989 \tabularnewline
9 & 101.129166666667 & 0.372423471902941 & 1.39999999999999 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]79.9266666666667[/C][C]2.25636607818587[/C][C]7.20999999999999[/C][/ROW]
[ROW][C]2[/C][C]88.2141666666667[/C][C]1.06749884678101[/C][C]3.48[/C][/ROW]
[ROW][C]3[/C][C]89.6358333333333[/C][C]0.418513784574402[/C][C]1.14[/C][/ROW]
[ROW][C]4[/C][C]89.9725[/C][C]0.69913095404873[/C][C]1.97999999999999[/C][/ROW]
[ROW][C]5[/C][C]94.1308333333333[/C][C]1.08186252137299[/C][C]3.92[/C][/ROW]
[ROW][C]6[/C][C]96.88[/C][C]0.837637370009458[/C][C]2.44[/C][/ROW]
[ROW][C]7[/C][C]100.000833333333[/C][C]0.431497568376869[/C][C]1.59[/C][/ROW]
[ROW][C]8[/C][C]100.3075[/C][C]0.178637520236827[/C][C]0.589999999999989[/C][/ROW]
[ROW][C]9[/C][C]101.129166666667[/C][C]0.372423471902941[/C][C]1.39999999999999[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
179.92666666666672.256366078185877.20999999999999
288.21416666666671.067498846781013.48
389.63583333333330.4185137845744021.14
489.97250.699130954048731.97999999999999
594.13083333333331.081862521372993.92
696.880.8376373700094582.44
7100.0008333333330.4314975683768691.59
8100.30750.1786375202368270.589999999999989
9101.1291666666670.3724234719029411.39999999999999






Regression: S.E.(k) = alpha + beta * Mean(k)
alpha7.59807963246817
beta-0.0726485720044685
S.D.0.0192374503400661
T-STAT-3.77641375131517
p-value0.00692463956373316

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 7.59807963246817 \tabularnewline
beta & -0.0726485720044685 \tabularnewline
S.D. & 0.0192374503400661 \tabularnewline
T-STAT & -3.77641375131517 \tabularnewline
p-value & 0.00692463956373316 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]7.59807963246817[/C][/ROW]
[ROW][C]beta[/C][C]-0.0726485720044685[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0192374503400661[/C][/ROW]
[ROW][C]T-STAT[/C][C]-3.77641375131517[/C][/ROW]
[ROW][C]p-value[/C][C]0.00692463956373316[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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)
alpha7.59807963246817
beta-0.0726485720044685
S.D.0.0192374503400661
T-STAT-3.77641375131517
p-value0.00692463956373316






Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha33.3992528581157
beta-7.46474421340093
S.D.2.30629291357491
T-STAT-3.23668523172543
p-value0.0143185911052579
Lambda8.46474421340093

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & 33.3992528581157 \tabularnewline
beta & -7.46474421340093 \tabularnewline
S.D. & 2.30629291357491 \tabularnewline
T-STAT & -3.23668523172543 \tabularnewline
p-value & 0.0143185911052579 \tabularnewline
Lambda & 8.46474421340093 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]33.3992528581157[/C][/ROW]
[ROW][C]beta[/C][C]-7.46474421340093[/C][/ROW]
[ROW][C]S.D.[/C][C]2.30629291357491[/C][/ROW]
[ROW][C]T-STAT[/C][C]-3.23668523172543[/C][/ROW]
[ROW][C]p-value[/C][C]0.0143185911052579[/C][/ROW]
[ROW][C]Lambda[/C][C]8.46474421340093[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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)
alpha33.3992528581157
beta-7.46474421340093
S.D.2.30629291357491
T-STAT-3.23668523172543
p-value0.0143185911052579
Lambda8.46474421340093


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')