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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_bootstrapplot.wasp
Title produced by softwareBlocked Bootstrap Plot - Central Tendency
Date of computationThu, 04 Jun 2009 06:33:42 -0600
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/Jun/04/t1244118872d8izhsfoyullzr9.htm/, Retrieved Tue, 14 May 2024 21:45:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41631, Retrieved Tue, 14 May 2024 21:45:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Mean Plot] [Brutoschuld van d...] [2009-06-04 10:54:18] [ef653b42671acc8de32235b938c43afe]
- RMP   [(Partial) Autocorrelation Function] [Brutoschuld van d...] [2009-06-04 11:03:57] [ef653b42671acc8de32235b938c43afe]
- RMPD    [Bootstrap Plot - Central Tendency] [Studio 100 maximu...] [2009-06-04 11:35:38] [ef653b42671acc8de32235b938c43afe]
-   P       [Bootstrap Plot - Central Tendency] [Studio 100 maximu...] [2009-06-04 11:56:22] [ef653b42671acc8de32235b938c43afe]
- RMPD        [Blocked Bootstrap Plot - Central Tendency] [Brutoschuld van d...] [2009-06-04 12:31:11] [ef653b42671acc8de32235b938c43afe]
-   P             [Blocked Bootstrap Plot - Central Tendency] [Brutoschuld van d...] [2009-06-04 12:33:42] [2eea656d1ea82c4ced0e8e79cdac0617] [Current]
-   P               [Blocked Bootstrap Plot - Central Tendency] [Brutoschuld van d...] [2009-06-04 12:35:49] [ef653b42671acc8de32235b938c43afe]
- RMPD              [Variability] [Studio 100 maximu...] [2009-06-04 13:04:21] [ef653b42671acc8de32235b938c43afe]
- RMPD              [Standard Deviation Plot] [inschrijving nieu...] [2009-06-04 13:07:39] [ef653b42671acc8de32235b938c43afe]
- RMPD              [Standard Deviation-Mean Plot] [inschrijving nieu...] [2009-06-04 13:14:37] [ef653b42671acc8de32235b938c43afe]
-   P                 [Standard Deviation-Mean Plot] [inschrijving nieu...] [2009-06-07 11:50:31] [74be16979710d4c4e7c6647856088456]
- RMP               [Variability] [Brutoschuld van d...] [2009-06-04 13:29:11] [ef653b42671acc8de32235b938c43afe]
- RMP               [Standard Deviation Plot] [Brutoschuld van d...] [2009-06-04 13:30:21] [ef653b42671acc8de32235b938c43afe]
- RMP               [Standard Deviation-Mean Plot] [Brutoschuld van d...] [2009-06-04 13:32:37] [ef653b42671acc8de32235b938c43afe]
- RMPD              [Classical Decomposition] [inschrijving nieu...] [2009-06-04 13:58:57] [ef653b42671acc8de32235b938c43afe]
-    D                [Classical Decomposition] [Brutoschuld van d...] [2009-06-04 14:13:36] [ef653b42671acc8de32235b938c43afe]
- RM                  [Exponential Smoothing] [inschrijving nieu...] [2009-06-04 14:21:16] [ef653b42671acc8de32235b938c43afe]
-   PD                  [Exponential Smoothing] [Bruto schuld van ...] [2009-06-07 16:49:36] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
321.935
310.215
309.030
305.333
294.735
289.351
288.225
289.648
290.155
288.301
289.148
289.741
287.595
285.226
287.816
283.519
290.304
282.166
280.041
282.500
279.913
277.793
281.229
275.363
273.547
270.601
273.338
271.917
273.985
273.911
270.798
271.115
271.344
274.525
276.663
273.784
274.027
269.160
270.491
270.846
270.333
272.599
272.764
270.674
268.175
268.351
272.482
268.714
269.419
265.518
264.101
267.179
271.322
270.157
271.296
269.907
271.244
266.844
270.911
269.829
269.285
263.018
266.680
265.814
268.457
269.508
270.223
264.676
265.521
262.971
266.003
267.722
266.433

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=41631&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=41631&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41631&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






Estimation Results of Blocked Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean274.436116438356276.403616438356278.815277397263.395266567402234.37916095890409
median270.911271.344273.9114.191822570564083
midrange284.169625292.453292.4536.722992678900268.28337499999998

\begin{tabular}{lllllllll}
\hline
Estimation Results of Blocked Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 274.436116438356 & 276.403616438356 & 278.81527739726 & 3.39526656740223 & 4.37916095890409 \tabularnewline
median & 270.911 & 271.344 & 273.911 & 4.19182257056408 & 3 \tabularnewline
midrange & 284.169625 & 292.453 & 292.453 & 6.72299267890026 & 8.28337499999998 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41631&T=1

[TABLE]
[ROW][C]Estimation Results of Blocked Bootstrap[/C][/ROW]
[ROW][C]statistic[/C][C]Q1[/C][C]Estimate[/C][C]Q3[/C][C]S.D.[/C][C]IQR[/C][/ROW]
[ROW][C]mean[/C][C]274.436116438356[/C][C]276.403616438356[/C][C]278.81527739726[/C][C]3.39526656740223[/C][C]4.37916095890409[/C][/ROW]
[ROW][C]median[/C][C]270.911[/C][C]271.344[/C][C]273.911[/C][C]4.19182257056408[/C][C]3[/C][/ROW]
[ROW][C]midrange[/C][C]284.169625[/C][C]292.453[/C][C]292.453[/C][C]6.72299267890026[/C][C]8.28337499999998[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41631&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41631&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Estimation Results of Blocked Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean274.436116438356276.403616438356278.815277397263.395266567402234.37916095890409
median270.911271.344273.9114.191822570564083
midrange284.169625292.453292.4536.722992678900268.28337499999998


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 200 ; par2 = 12 ;
Parameters (R input):
par1 = 200 ; par2 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
if (par1 < 10) par1 = 10
if (par1 > 5000) par1 = 5000
if (par2 < 3) par2 = 3
if (par2 > length(x)) par2 = length(x)
library(lattice)
library(boot)
boot.stat <- function(s)
{
s.mean <- mean(s)
s.median <- median(s)
s.midrange <- (max(s) + min(s)) / 2
c(s.mean, s.median, s.midrange)
}
(r <- tsboot(x, boot.stat, R=par1, l=12, sim='fixed'))
bitmap(file='plot1.png')
plot(r$t[,1],type='p',ylab='simulated values',main='Simulation of Mean')
grid()
dev.off()
bitmap(file='plot2.png')
plot(r$t[,2],type='p',ylab='simulated values',main='Simulation of Median')
grid()
dev.off()
bitmap(file='plot3.png')
plot(r$t[,3],type='p',ylab='simulated values',main='Simulation of Midrange')
grid()
dev.off()
bitmap(file='plot4.png')
densityplot(~r$t[,1],col='black',main='Density Plot',xlab='mean')
dev.off()
bitmap(file='plot5.png')
densityplot(~r$t[,2],col='black',main='Density Plot',xlab='median')
dev.off()
bitmap(file='plot6.png')
densityplot(~r$t[,3],col='black',main='Density Plot',xlab='midrange')
dev.off()
z <- data.frame(cbind(r$t[,1],r$t[,2],r$t[,3]))
colnames(z) <- list('mean','median','midrange')
bitmap(file='plot7.png')
boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency')
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Estimation Results of Blocked Bootstrap',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'statistic',header=TRUE)
a<-table.element(a,'Q1',header=TRUE)
a<-table.element(a,'Estimate',header=TRUE)
a<-table.element(a,'Q3',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'IQR',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
q1 <- quantile(r$t[,1],0.25)[[1]]
q3 <- quantile(r$t[,1],0.75)[[1]]
a<-table.element(a,q1)
a<-table.element(a,r$t0[1])
a<-table.element(a,q3)
a<-table.element(a,sqrt(var(r$t[,1])))
a<-table.element(a,q3-q1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'median',header=TRUE)
q1 <- quantile(r$t[,2],0.25)[[1]]
q3 <- quantile(r$t[,2],0.75)[[1]]
a<-table.element(a,q1)
a<-table.element(a,r$t0[2])
a<-table.element(a,q3)
a<-table.element(a,sqrt(var(r$t[,2])))
a<-table.element(a,q3-q1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'midrange',header=TRUE)
q1 <- quantile(r$t[,3],0.25)[[1]]
q3 <- quantile(r$t[,3],0.75)[[1]]
a<-table.element(a,q1)
a<-table.element(a,r$t0[3])
a<-table.element(a,q3)
a<-table.element(a,sqrt(var(r$t[,3])))
a<-table.element(a,q3-q1)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')