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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_meanplot.wasp
Title produced by softwareMean Plot
Date of computationTue, 15 Dec 2009 13:54:47 -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/15/t1260910551mnzovxqpnv9xy16.htm/, Retrieved Sun, 28 Apr 2024 22:18:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=68150, Retrieved Sun, 28 Apr 2024 22:18:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131

Tree of Dependent Computations

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]
-    D    [ARIMA Backward Selection] [BBWS9-Arimabackward1] [2009-12-01 20:26:03] [408e92805dcb18620260f240a7fb9d53]
- RM D      [Harrell-Davis Quantiles] [BBWS9-Harolddavis] [2009-12-01 20:39:11] [408e92805dcb18620260f240a7fb9d53]
- RM          [Mean Plot] [BBWS9-Meanplot] [2009-12-01 20:43:16] [408e92805dcb18620260f240a7fb9d53]
- R PD          [Mean Plot] [shw-ws9] [2009-12-04 13:33:50] [2663058f2a5dda519058ac6b2228468f]
-   PD            [Mean Plot] [ws 9 mean plot] [2009-12-04 19:27:12] [134dc66689e3d457a82860db6471d419]
-    D                [Mean Plot] [Paper MP IGP] [2009-12-15 20:54:47] [4f297b039e1043ebee7ff7a83b1eaaaa] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3.98079081276633e-05
-0.000973976133257226
9.54105981046696e-05
0.0025088460252085
-0.00317190862576495
-0.000294031330328119
0.000968982944777646
-0.000851197318024926
-0.00138793660546551
0.000768157042933171
-0.00043345520475556
0.00366870846041696
-0.00115605912816505
-0.000726387151364303
0.00158304848369840
-0.000705551333861491
-0.000686845735372371
0.000856524956680535
0.00112951149233031
-0.000633986568076334
0.000485377794173421
0.00350968792492686
0.00110875144650834
-0.000454222753280748
-0.00070519397282043
-0.000564138898205549
-0.00323625658579197
-0.000207775895461774
0.000121573704094360
0.00043576463403868
-0.00105292199456297
-0.0002403967976497
-0.00118907538442198
0.000625841684237297
0.00143341373589394
-0.00192988553325272
-0.00157492400816634
-0.000826348774317081
0.00200273506082489
0.00234881104580967
-0.00111885056021927
-0.00081068847426387
-0.000153003860193700
-0.000584636837683116
0.00160325078754813
-0.00183253836358638
-2.44819684689276e-06
-0.000771460372823094
-0.00104001978218138
4.48050729071727e-05
-0.00169203184569203
0.000174462273812442
-0.00114098465483701
0.000769566716964055
-0.000818911240646756
-0.000828750325242718
0.00018261275748915
-0.00159799022419187
0.00152164245558621
0.000884169332101304
-0.00180485032467462
-0.000145630936549182
-0.00147324017244386
0.00060792316144348
0.000905629038218515
-0.00169040652912523
-3.12105291171649e-05
-0.000906676164921031
0.000514094616829656
0.000837486441965654
0.000374199742847721
-0.000878094545087892
-0.001182893501353
0.000646111491672511
-0.000599857591795931
-0.00144802173609301
-0.000104582917017275
0.000492759150213751
-0.000931164919957729
0.000371424202406294
0.00140975891549500
6.6750425077598e-05
-0.000277340783067839
-0.000455194022166956
0.00149545439655812
-0.00131297831713598
-0.000172568590443257
-0.000606874399482126
0.000336885535519071
-0.000642830360379811
-0.000512599342982913
0.000704580414167671
-0.000945254989964433
-0.000475584476934928
-0.000848558711677428
0.000314088890732562
-0.000617706260337561
-0.000400848410183710
-0.000838652504832539
-0.000333202351853059
-0.00104162067143271
-0.000146313497017913
-8.59352300135553e-05
0.00137121135042611
0.000958241811236665
0.00339310785749926
0.00259450104170567
0.00237818486786294
-0.00116307131503507
0.000681404236029412
-0.000892729488794187
-0.000758226783340658
-0.00148062583439785
-0.00170642385731143
0.00129224214825562
-0.00154330598635992
0.000855094334823046

Tables (Output of Computation)





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=68150&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=68150&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68150&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


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+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()