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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 06:51:03 -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/t1259934729asecoebi1qg71uj.htm/, Retrieved Sun, 28 Apr 2024 00:53:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=63519, Retrieved Sun, 28 Apr 2024 00:53:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109

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]
-   PD    [ARIMA Backward Selection] [WS9 Estimation of...] [2009-12-04 13:09:16] [8733f8ed033058987ec00f5e71b74854]
- RMPD        [Mean Plot] [WS9 Residu's] [2009-12-04 13:51:03] [c6e373ff11c42d4585d53e9e88ed5606] [Current]
- RMP           [Harrell-Davis Quantiles] [WS9 Betrouwbaarhe...] [2009-12-04 13:53:13] [8733f8ed033058987ec00f5e71b74854]
-   P             [Harrell-Davis Quantiles] [WS9 Betrouwbaarhe...] [2009-12-04 13:55:49] [8733f8ed033058987ec00f5e71b74854]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.0180678527088341
0.0562901166564763
-0.0383920228971653
0.0197362615228291
-0.0349783616211472
0.0068518670200992
0.0280842746777466
0.0446752709325745
0.0346027844881839
-0.04235896700803
-0.0704530877146328
-0.141169759207391
0.190464885503065
0.0160178050891860
0.136736106377406
0.00968031609540383
-0.0209143775407505
-0.0925769658093795
0.0384619588840446
0.0682195700863305
-0.134498105554547
0.0218255727200960
0.0776457687368569
0.0689225629397706
0.0740965027033676
-0.103338356927779
-0.0429672132927176
0.0365409556880891
-0.0414354395090189
-0.012330339132303
0.0286531468201482
-0.0263319233764757
0.0785732307259898
0.0237994722126526
0.0377483003142014
0.0507363385159117
-0.0223289969571086
-0.0483741687167987
-0.138702439764697
0.0658943416950095
-0.015257998756574
-0.0966648642708767
-0.021423000325382
-0.00651105347738536
0.00512035105957504
0.073029300952841
0.0573348071614868
0.172161649472528
-0.0969619108653857
-0.0984926589389618
0.0508824323815179
-0.0623193761665625
-0.137439210181595
0.13754570197851
-0.0237979817564337
0.00561691044717635
0.0328043530195327
0.00654130655901269
0.0601321062076455
-0.0639295914075303
0.0224173380303157
0.317941659607052
0.0225647602888595
-0.0206822092677761
0.00654057567239308
-0.0190310812241401
0.0506293024636681
0.0309034012148992
0.161159786003573
-0.0350860450190002
0.0766629141540984
0.104018416656661
-0.0253219589883051
0.0607550354735824
-0.115326979930159
0.0242361757084084
-0.0348254913157667

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'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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=63519&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=63519&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63519&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'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()