FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationThu, 17 Dec 2009 21:27:03 +0100
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/17/t1261081681w7yv89eszv93q4c.htm/, Retrieved Tue, 30 Apr 2024 00:11:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69098, Retrieved Tue, 30 Apr 2024 00:11:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact194

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] [] [2009-12-17 19:09:08] [b98453cac15ba1066b407e146608df68]
- RMPD    [Mean Plot] [] [2009-12-17 20:27:03] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.0192508842078761
-0.0243384070148590
0.0158952358252125
-0.0260722519603377
0.00884040098416066
-0.0212744425298722
0.0374645687523337
0.000287491611075654
-0.00339379103432857
0.0171818334669544
-0.033426965424278
0.00217934347065340
-0.0274115854113506
-0.0569170628639589
-0.000209124152662078
-0.00400646079770227
-0.00748529583959452
-0.00585685997080524
0.0752980051262616
0.00262906294324769
-0.00639835830921532
0.0257097451976159
0.0327139661508631
0.0363171189336884
-0.00129610688362125
-0.0219713395125436
-0.0176410998712386
0.0411130767250018
0.0124816435524092
0.020793906880278
-0.0484360434735618
0.0263730615102121
-0.0200050532987077
-0.0134631900868672
-0.013113310509618
0.00219519903716346
0.00349361484962575
0.0314382751789365
0.0140064877187480
-0.0167139079425391
0.0122645988561186
0.00114204009422627
-0.0409497518101819
-0.00376200146549827
0.000868011842158073
-0.0322586305360591
0.0682477804173895
-0.0118187390548836
-0.0359119197592944
-0.00236630329867407
0.0668542802302875
0.000748549879677433
-0.0097707458515968
-0.0168718298288839
-0.00438484896246825
0.00552586381473103
0.0219829902429555
-0.00573500441714712
0.0238920416800163
-0.0221259220432080
-0.0310115591186089
0.00225903855869600
-0.00289136404543944
0.00486404360736588
-0.0379857416078679
-0.0192308004977295
-0.0604836676986188
-0.0523951106616251
-0.0264459462048099
0.0190059857944224
0.051579422018824
0.0105776720459108
-0.00355602540245227
-0.0163280881061046
-0.0107869871318581
-0.00460914546299842
-0.0694566072240325
0.0275743671281808
0.103706651222640
-0.0682976491656814
0.00956417905378418
0.00777995668698742
-0.000471725526274496
-0.0170756133168365
-0.0219398274893341
0.0266415497232234
-0.00718744004864717
0.0255235333060244
-0.0689794396176606
-0.00269863966055686
-0.00134991577133056
-0.05643065977133
-0.0254379905104139
0.165898547230958
0.0537206816137991
0.0642377469045096
-0.00592693533019978
0.0194027109676582
-0.0100689167955129
0.0582650246376592
0.0165272380190866
0.0724558629310153
0.0306429617300824
-0.0387863822572402
0.0310497861315557
-0.0857565364396057
0.00579522547072407
-0.0384897916145452
0.0360585980557015
-0.00320594887898824
0.0137113324902744
-0.0240598741976394
0.0184468748372574
0.00325157937184180
0.0254779586910709
-0.0283919147746814
-0.0227883523855816
-0.0430964564458684
-0.0216370051000690
-0.0140707505733256
-0.0154464375494437
-0.0406067597697643
-0.0137719609823467
-0.0143160597857540
-0.0155991144608775
-0.0225547231065048
0.0228793700809542
-0.0265463902544472
0.0287954700277272
-0.0300888958159422
0.00711730170513459
-0.0388479619658106
-0.0210517741393705
0.0209016660704892
-0.00736398444160426
-0.00695634652202435
-0.0215118032211888
0.0130815818198251
-0.0294445694816839
-0.0117484040652358
0.0237400494796378
-0.000850108661828754
-0.0633816370082633
0.0161387564701593
0.0039191450328204
-0.0300291383913910
-0.00743127215616451
-0.0087841632926546
0.0442649141203364
-0.0331697190770205
-0.0340606317626467
-0.0469800100804107
0.00632880283139771
-0.0186025106792085
0.0183753561468092
0.0199570007781874
-0.0224484565035172
0.0120439983018481
0.0276616630681987
0.0595111245787349
-0.0756624215189736
0.0273649927990675
0.0215180661735496
0.0274133738668157
-0.00463098036463181
0.0393431417763206
-0.00890522610843237
0.0664244228906462
-0.0242474922714065
0.0613863253342411
0.0261613141046088
-0.0436635790987991
0.0076741977290358
0.0201218132900302

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 3 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69098&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69098&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69098&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 time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = FALSE ; par2 = 0.0 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = 3 ; par7 = 0 ; par8 = 2 ; par9 = 1 ;
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()