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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_meanplot.wasp
Title produced by softwareMean Plot
Date of computationThu, 03 Dec 2009 10:44:27 -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/03/t1259862311m50jmj3gr4ru3k3.htm/, Retrieved Thu, 28 Mar 2024 21:58:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62976, Retrieved Thu, 28 Mar 2024 21:58:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [data set] [2008-12-01 19:54:57] [b98453cac15ba1066b407e146608df68]
- RMP   [ARIMA Backward Selection] [] [2009-11-27 14:53:14] [b98453cac15ba1066b407e146608df68]
-   PD    [ARIMA Backward Selection] [workshop 9 bereke...] [2009-12-03 17:01:00] [eaf42bcf5162b5692bb3c7f9d4636222]
- RM D      [Harrell-Davis Quantiles] [workshop 9 bereke...] [2009-12-03 17:33:57] [eaf42bcf5162b5692bb3c7f9d4636222]
- RM            [Mean Plot] [workshop 9 bereke...] [2009-12-03 17:44:27] [78d370e6d5f4594e9982a5085e7604c6] [Current]
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Dataseries X:
0.00542916130943278
0.0445893441667106
-0.0137888879399847
0.0453152005372048
0.00473315051318341
-0.00629302867546508
-0.070117568265751
-0.0217843333183126
-0.0095666262457008
0.0165637840451361
0.00824993070407797
-0.0831327333629231
0.0144161451837631
0.034621459194465
0.0184381942383567
-0.074932085622151
-0.0264502766059977
-0.0112128979582415
-0.10436727046515
0.0715680268198404
0.121060489346963
-0.0324214631834054
-0.00529431524629609
-0.00146846269678377
-0.00570151995165197
-0.025987421858386
-0.0685516945712228
-0.0733842752561877
-0.0163445778492365
-0.0110134858421602
-0.087660645529663
0.109058909700739
0.0339807510912559
0.00300957055239715
-0.117182246964976
0.0294137488267335
0.0893484543689374
0.0298847434899963
0.0611729025233987
0.00324519869485862
0.0212178770497218
0.00660658211635031
0.00372487320385017
-0.00838101340628686
0.0170033508018199
0.0621313219493351
0.0197401442742924
-0.0417164562197347
0.0228259755720078
-0.042255817474836
0.0309137428469852
-0.00918278678351927
0.0146293075798733
0.0297847213520409
0.00986110949240185
0.0614197587407885
0.0126952510044700
0.00800151002534761
0.0341797308392325
-0.0180464496214532
-0.0153479524622885
0.0463170445239729
0.0195281991212937
0.0371269245007414
-0.00744692508954433
0.0462493884790173
-0.0395877264208058
0.0382572916842234
0.0374023801364467
0.039717646637445
-0.0103197596326754
0.00344718875977555
0.00885007204463633
-0.0791417702355047
0.0158234735164099
0.016538541536172
0.0144056817515094
0.00282613662406027
0.0534415346690993
-0.0114429989198319
0.0380793061367662
0.0110221503256857
-0.0190504147856999
0.0414994449048327
0.00816603652061595
0.041019836581154
-0.0171632971999998
-0.0239258971120320
-0.0219604522663097
0.00948947211086537
0.039949080719774
-0.0982011343440696
0.0127754891139968
-0.134456574642575
0.0790854375582093
-0.0486237536443106
0.0893991774345677
0.0305540121228036
-0.137690614650960
-0.0322141353773482
0.03442439486507
-0.164911125871352
-0.183934800698021
0.0234325246699871
-0.0233244578414444
0.0283600031799320
-0.0273434825220074
0.0285743363772815




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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=62976&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=62976&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62976&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135



Parameters (Session):
par1 = FALSE ; par2 = 0.2 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = 2 ; par7 = 0 ; par8 = 0 ; par9 = 0 ;
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+1))
darr <- array(NA,dim=c(par1,np+1))
ari <- array(0,dim=par1)
dx <- diff(x)
j <- 0
for (i in 1:n)
{
j = j + 1
ari[j] = ari[j] + 1
arr[j,ari[j]] <- x[i]
darr[j,ari[j]] <- dx[i]
if (j == par1) j = 0
}
ari
arr
darr
arr.mean <- array(NA,dim=par1)
arr.median <- array(NA,dim=par1)
arr.midrange <- array(NA,dim=par1)
for (j in 1:par1)
{
arr.mean[j] <- mean(arr[j,],na.rm=TRUE)
arr.median[j] <- median(arr[j,],na.rm=TRUE)
arr.midrange[j] <- (quantile(arr[j,],0.75,na.rm=TRUE) + quantile(arr[j,],0.25,na.rm=TRUE)) / 2
}
overall.mean <- mean(x)
overall.median <- median(x)
overall.midrange <- (quantile(x,0.75) + quantile(x,0.25)) / 2
bitmap(file='plot1.png')
plot(arr.mean,type='b',ylab='mean',main='Mean Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.mean,0)
dev.off()
bitmap(file='plot2.png')
plot(arr.median,type='b',ylab='median',main='Median Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.median,0)
dev.off()
bitmap(file='plot3.png')
plot(arr.midrange,type='b',ylab='midrange',main='Midrange Plot',xlab='Periodic Index')
mtext(paste('#blocks = ',np))
abline(overall.midrange,0)
dev.off()
bitmap(file='plot4.png')
z <- data.frame(t(arr))
names(z) <- c(1:par1)
(boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Periodic Subseries'))
dev.off()
bitmap(file='plot4b.png')
z <- data.frame(t(darr))
names(z) <- c(1:par1)
(boxplot(z,notch=TRUE,col='grey',xlab='Periodic Index',ylab='Value',main='Notched Box Plots - Differenced Periodic Subseries'))
dev.off()
bitmap(file='plot5.png')
z <- data.frame(arr)
names(z) <- c(1:np)
(boxplot(z,notch=TRUE,col='grey',xlab='Block Index',ylab='Value',main='Notched Box Plots - Sequential Blocks'))
dev.off()
bitmap(file='plot6.png')
z <- data.frame(cbind(arr.mean,arr.median,arr.midrange))
names(z) <- list('mean','median','midrange')
(boxplot(z,notch=TRUE,col='grey',ylab='Overall Central Tendency',main='Notched Box Plots'))
dev.off()