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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 computationFri, 04 Dec 2009 12:27:12 -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/04/t1259954887fcub949eqw66104.htm/, Retrieved Mon, 29 Apr 2024 05:29:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64065, Retrieved Mon, 29 Apr 2024 05:29:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact135

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] [4f297b039e1043ebee7ff7a83b1eaaaa] [Current]
-    D                [Mean Plot] [Paper MP IGP] [2009-12-15 20:54:47] [134dc66689e3d457a82860db6471d419]
-    D                [Mean Plot] [Paper MP ICP] [2009-12-15 21:02:57] [134dc66689e3d457a82860db6471d419]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-5.57188623643403e-05
0.000673127001655781
0.00253297316798237
-0.00312808800265659
6.06736685254191e-05
0.00111459533092098
-0.000554109520648384
-0.00105302564390300
0.00104708036627266
-0.000154081652574897
0.00384608131631652
-0.00119915735301702
-0.000654000489824518
0.00147251443605623
-0.000700006059835063
-0.00061908177055739
0.000837030387252926
0.00112904739358168
-0.000635971834993874
0.000438787250423991
0.00336388391216243
0.000921403408594523
-0.000666757721707773
-0.00102031957840900
-0.000796646941257639
-0.00332057539851693
-0.000182532249361493
0.000146444976543607
0.000563712163999504
-0.00101555676532265
-0.000213138748455123
-0.00116972320289465
0.000718163786614911
0.00147451936379633
-0.00186871515930147
-0.00152438264067532
-0.00079919301702642
0.00214361864863578
0.00246081566765619
-0.00105955030987362
-0.000841465941827341
-0.000224431304780554
-0.000524348696489676
0.00168130096323857
-0.00179203973258881
8.57375031507516e-05
-0.000771092454595768
-0.000903583373710958
0.000148807028873512
-0.001557405462672
0.000344209067865560
-0.00101577409715098
0.000968280070164763
-0.000691907060623672
-0.000647161091857317
0.000306078767940221
-0.00143204637452955
0.00171652552326860
0.00100568755956631
-0.00162283353151299
-5.03611946386278e-05
-0.00139199227766638
0.0008205486056255
0.00106165242946242
-0.00149168951466355
0.000113318551053342
-0.000798705188071938
0.000725657525939686
0.000996463288562474
0.000551870084508547
-0.000750413138897793
-0.00107155858159102
0.000778446826870656
-0.000420986168065270
-0.00123476222127950
5.58572848751406e-05
0.000674648736605934
-0.00070571283485043
0.000562433086011177
0.00155795278362076
0.000246475697694884
-0.000138379316298359
-0.000372926968554567
0.00161826258007914
-0.00118416871764147
-1.79064625009521e-05
-0.000530448371326978
0.000513060612174883
-0.000488611530751738
-0.000344435665802584
0.000842398928486991
-0.00078884664263527
-0.00030481479842588
-0.00072415539117241
0.000502998571283987
-0.000437715789622652
-0.000201547985612967
-0.000674925273024028
-0.000139783804754848
-0.000849121145158096
6.60224785191873e-05
0.000113764899993581
0.00159428581141906
0.00113767761833825
0.00355745661277584
0.00266114068025193
0.00242685751739785
-0.00123747069021010
0.000630850445637065
-0.000959554038128756
-0.000666732374209195
-0.00142693285098644
-0.00158022058363810
0.00143352595627639
-0.00138297408790195
0.00105401647418059

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=64065&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=64065&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64065&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()