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Author's title

Author

*Unverified author*

R Software Module

rwasp_smp.wasp

Title produced by software

Standard Deviation-Mean Plot

Date of computation

Fri, 15 Jan 2010 08:14:40 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Jan/15/t12635685670wi1q0s1xz1e81w.htm/, Retrieved Fri, 01 Nov 2024 00:00:15 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72205, Retrieved Fri, 01 Nov 2024 00:00:15 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

KDGP2W83

Estimated Impact

189

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Standard Deviation-Mean Plot] [8 bezettingsgraad...] [2010-01-15 15:14:40] [5e78ed906b09bab42b8ec3dd93b6358a] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72205&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]2 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=72205&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72205&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Standard Deviation-Mean Plot
Section	Mean	Standard Deviation	Range
1	30.55	5.1565492337415	12.4
2	39.375	2.79210195611359	6.2
3	33.875	4.27190433725600	10
4	29.275	5.12924620842738	11.9
5	39.5	2.69567554922076	6.2
6	34.325	4.16122978617299	9.6
7	28.9025	4.86747282135881	11.75
8	38.815	2.8386088141905	6.06
9	35.1825	3.75518641348203	8.11
10	28.35	5.81807528311554	14.2
11	37.625	2.18689277286290	5.2
12	32.5	3.31963853453957	6.9
13	28.275	5.27027829752218	12.8
14	37.975	2.47706143107783	5.4
15	35.025	4.01777301499226	8.7
16	29.65	5.81349005904944	14.2
17	39.025	1.26062153982338	2.9
18	35.175	3.69357550349252	8.1
19	31.225	5.99520641846467	14.6
20	40.175	2.72075357208256	6
21	37.525	3.58736207632665	8.1

\begin{tabular}{lllllllll}
\hline
Standard Deviation-Mean Plot \tabularnewline
Section & Mean & Standard Deviation & Range \tabularnewline
1 & 30.55 & 5.1565492337415 & 12.4 \tabularnewline
2 & 39.375 & 2.79210195611359 & 6.2 \tabularnewline
3 & 33.875 & 4.27190433725600 & 10 \tabularnewline
4 & 29.275 & 5.12924620842738 & 11.9 \tabularnewline
5 & 39.5 & 2.69567554922076 & 6.2 \tabularnewline
6 & 34.325 & 4.16122978617299 & 9.6 \tabularnewline
7 & 28.9025 & 4.86747282135881 & 11.75 \tabularnewline
8 & 38.815 & 2.8386088141905 & 6.06 \tabularnewline
9 & 35.1825 & 3.75518641348203 & 8.11 \tabularnewline
10 & 28.35 & 5.81807528311554 & 14.2 \tabularnewline
11 & 37.625 & 2.18689277286290 & 5.2 \tabularnewline
12 & 32.5 & 3.31963853453957 & 6.9 \tabularnewline
13 & 28.275 & 5.27027829752218 & 12.8 \tabularnewline
14 & 37.975 & 2.47706143107783 & 5.4 \tabularnewline
15 & 35.025 & 4.01777301499226 & 8.7 \tabularnewline
16 & 29.65 & 5.81349005904944 & 14.2 \tabularnewline
17 & 39.025 & 1.26062153982338 & 2.9 \tabularnewline
18 & 35.175 & 3.69357550349252 & 8.1 \tabularnewline
19 & 31.225 & 5.99520641846467 & 14.6 \tabularnewline
20 & 40.175 & 2.72075357208256 & 6 \tabularnewline
21 & 37.525 & 3.58736207632665 & 8.1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72205&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]30.55[/C][C]5.1565492337415[/C][C]12.4[/C][/ROW]
[ROW][C]2[/C][C]39.375[/C][C]2.79210195611359[/C][C]6.2[/C][/ROW]
[ROW][C]3[/C][C]33.875[/C][C]4.27190433725600[/C][C]10[/C][/ROW]
[ROW][C]4[/C][C]29.275[/C][C]5.12924620842738[/C][C]11.9[/C][/ROW]
[ROW][C]5[/C][C]39.5[/C][C]2.69567554922076[/C][C]6.2[/C][/ROW]
[ROW][C]6[/C][C]34.325[/C][C]4.16122978617299[/C][C]9.6[/C][/ROW]
[ROW][C]7[/C][C]28.9025[/C][C]4.86747282135881[/C][C]11.75[/C][/ROW]
[ROW][C]8[/C][C]38.815[/C][C]2.8386088141905[/C][C]6.06[/C][/ROW]
[ROW][C]9[/C][C]35.1825[/C][C]3.75518641348203[/C][C]8.11[/C][/ROW]
[ROW][C]10[/C][C]28.35[/C][C]5.81807528311554[/C][C]14.2[/C][/ROW]
[ROW][C]11[/C][C]37.625[/C][C]2.18689277286290[/C][C]5.2[/C][/ROW]
[ROW][C]12[/C][C]32.5[/C][C]3.31963853453957[/C][C]6.9[/C][/ROW]
[ROW][C]13[/C][C]28.275[/C][C]5.27027829752218[/C][C]12.8[/C][/ROW]
[ROW][C]14[/C][C]37.975[/C][C]2.47706143107783[/C][C]5.4[/C][/ROW]
[ROW][C]15[/C][C]35.025[/C][C]4.01777301499226[/C][C]8.7[/C][/ROW]
[ROW][C]16[/C][C]29.65[/C][C]5.81349005904944[/C][C]14.2[/C][/ROW]
[ROW][C]17[/C][C]39.025[/C][C]1.26062153982338[/C][C]2.9[/C][/ROW]
[ROW][C]18[/C][C]35.175[/C][C]3.69357550349252[/C][C]8.1[/C][/ROW]
[ROW][C]19[/C][C]31.225[/C][C]5.99520641846467[/C][C]14.6[/C][/ROW]
[ROW][C]20[/C][C]40.175[/C][C]2.72075357208256[/C][C]6[/C][/ROW]
[ROW][C]21[/C][C]37.525[/C][C]3.58736207632665[/C][C]8.1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72205&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72205&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Standard Deviation-Mean Plot
Section	Mean	Standard Deviation	Range
1	30.55	5.1565492337415	12.4
2	39.375	2.79210195611359	6.2
3	33.875	4.27190433725600	10
4	29.275	5.12924620842738	11.9
5	39.5	2.69567554922076	6.2
6	34.325	4.16122978617299	9.6
7	28.9025	4.86747282135881	11.75
8	38.815	2.8386088141905	6.06
9	35.1825	3.75518641348203	8.11
10	28.35	5.81807528311554	14.2
11	37.625	2.18689277286290	5.2
12	32.5	3.31963853453957	6.9
13	28.275	5.27027829752218	12.8
14	37.975	2.47706143107783	5.4
15	35.025	4.01777301499226	8.7
16	29.65	5.81349005904944	14.2
17	39.025	1.26062153982338	2.9
18	35.175	3.69357550349252	8.1
19	31.225	5.99520641846467	14.6
20	40.175	2.72075357208256	6
21	37.525	3.58736207632665	8.1

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha	13.8127326629574
beta	-0.288289457375549
S.D.	0.0330560727425902
T-STAT	-8.7212252834896
p-value	4.54388765704305e-08

\begin{tabular}{lllllllll}
\hline
Regression: S.E.(k) = alpha + beta * Mean(k) \tabularnewline
alpha & 13.8127326629574 \tabularnewline
beta & -0.288289457375549 \tabularnewline
S.D. & 0.0330560727425902 \tabularnewline
T-STAT & -8.7212252834896 \tabularnewline
p-value & 4.54388765704305e-08 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72205&T=2

[TABLE]
[ROW][C]Regression: S.E.(k) = alpha + beta * Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]13.8127326629574[/C][/ROW]
[ROW][C]beta[/C][C]-0.288289457375549[/C][/ROW]
[ROW][C]S.D.[/C][C]0.0330560727425902[/C][/ROW]
[ROW][C]T-STAT[/C][C]-8.7212252834896[/C][/ROW]
[ROW][C]p-value[/C][C]4.54388765704305e-08[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72205&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72205&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Regression: S.E.(k) = alpha + beta * Mean(k)
alpha	13.8127326629574
beta	-0.288289457375549
S.D.	0.0330560727425902
T-STAT	-8.7212252834896
p-value	4.54388765704305e-08

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha	10.6783439088592
beta	-2.65752594239897
S.D.	0.407054296795819
T-STAT	-6.52867679648154
p-value	2.97609083017903e-06
Lambda	3.65752594239897

\begin{tabular}{lllllllll}
\hline
Regression: ln S.E.(k) = alpha + beta * ln Mean(k) \tabularnewline
alpha & 10.6783439088592 \tabularnewline
beta & -2.65752594239897 \tabularnewline
S.D. & 0.407054296795819 \tabularnewline
T-STAT & -6.52867679648154 \tabularnewline
p-value & 2.97609083017903e-06 \tabularnewline
Lambda & 3.65752594239897 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72205&T=3

[TABLE]
[ROW][C]Regression: ln S.E.(k) = alpha + beta * ln Mean(k)[/C][/ROW]
[ROW][C]alpha[/C][C]10.6783439088592[/C][/ROW]
[ROW][C]beta[/C][C]-2.65752594239897[/C][/ROW]
[ROW][C]S.D.[/C][C]0.407054296795819[/C][/ROW]
[ROW][C]T-STAT[/C][C]-6.52867679648154[/C][/ROW]
[ROW][C]p-value[/C][C]2.97609083017903e-06[/C][/ROW]
[ROW][C]Lambda[/C][C]3.65752594239897[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72205&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72205&T=3

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Regression: ln S.E.(k) = alpha + beta * ln Mean(k)
alpha	10.6783439088592
beta	-2.65752594239897
S.D.	0.407054296795819
T-STAT	-6.52867679648154
p-value	2.97609083017903e-06
Lambda	3.65752594239897

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 4 ;

Parameters (R input):

par1 = 4 ;

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')

Free Statistics

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Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code