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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 computationSun, 17 May 2009 05:08:11 -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/May/17/t1242558592sf47cbwagg3zuly.htm/, Retrieved Fri, 03 May 2024 22:33:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40195, Retrieved Fri, 03 May 2024 22:33:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Blocked Bootstrap Plot - Central Tendency] [Kempeneers Liesbe...] [2009-05-17 11:08:11] [866e757444a60b1c09d57e14cc8533e4] [Current]
-   PD    [Blocked Bootstrap Plot - Central Tendency] [] [2009-06-02 16:19:42] [74be16979710d4c4e7c6647856088456]
-   PD      [Blocked Bootstrap Plot - Central Tendency] [Yelle Eyckmans] [2009-06-06 10:41:06] [74be16979710d4c4e7c6647856088456]
-   PD        [Blocked Bootstrap Plot - Central Tendency] [Yelle Eyckmans] [2009-06-06 10:43:02] [74be16979710d4c4e7c6647856088456]
-   P           [Blocked Bootstrap Plot - Central Tendency] [Yelle Eyckmans] [2009-06-06 10:44:49] [74be16979710d4c4e7c6647856088456]
-   PD    [Blocked Bootstrap Plot - Central Tendency] [] [2009-06-02 16:25:07] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
196.9
192.1
201.8
186.9
218.0
214.4
227.5
204.1
225.8
223.7
244.7
243.9
257.3
234.5
251.4
243.8
247.4
245.3
262.5
270.0
259.9
262.2
244.9
249.3
268.2
231.2
264.3
252.7
275.5
261.5
275.5
272.3
268.6
270.4
267.7
275.0
272.6
248.6
279.4
270.5
292.8
297.8
296.8
290.9
282.8
312.8
303.2
301.4
289.8
279.6
302.2
299.1
319.7
310.9
315.2
338.5
315.6
321.2
318.5
342.7
261.4
287.0
331.5
326.9
338.6
337.0
358.4
344.5
345.7
344.1
317.4
354.5
345.2
314.1
352.5
361.2
365.9
332.5
364.0
359.1
345.6
366.9
370.2
359.9
366.6
336.3
368.5
374.2
384.3
358.9
407.7
433.3
404.7
392.7
409.7
416.5
414.3
404.3
421.4
372.6
404.7
420.2
438.4
449.1
445.8
413.8
420.5
442.3
438.9
394.5
416.8
402.9
424.5
432.3
484.1
492.7
496.3
471.9
491.2
512.9
482.4
407.9
448.5
431.1
498.8
497.1
517.1
487.7
512.5
550.1
532.5
524.1
515.7
461.0
529.3
467.4
559.8
536.5
531.9
546.5
547.4
536.1
482.8
551.0
532.9
484.1
554.8
537.0
558.0
511.4
502.9
558.6
545.1
574.3
542.2
600.0
588.6
524.4
618.5
580.9
557.2
571.2
597.5
601.7
558.9
600.9
601.0
615.7
578.1
495.9
526.8
522.1
605.1
574.4
609.7
580.7
565.1
590.7
571.5
601.3
567.3
467.9
588.9
579.4
502.6
568.7
616.0
586.2
575.5
599.9
568.2
516.0
493.4
496.8
529.9
491.7
543.2
490.8
554.7
625.7
605.0
645.2
645.2
611.8
600.3
549.8
635.5
617.7
643.5
485.7
689.5
692.0
677.3
704.7
668.6
717.8
689.8
640.4
675.2
528.1
538.0
527.2
655.6
650.6
623.7
748.4
727.4
750.5
678.9
659.5
691.9
639.8
663.8
572.9
592.5
734.8
696.1
589.2
662.9
661.2
672.1
583.7
705.5
631.0
733.3
674.9
695.5
634.1
630.6
635.2
554.1
623.9
679.3
565.6
564.1
637.2
650.8
602.7
587.5
619.2
616.5
637.9
557.9
594.0
668.7
603.3
674.5
573.4
706.0
693.7
627.5
550.7
592.3
660.2
597.3
641.0
663.6
595.9
638.4
665.4
671.4
637.0
685.7
705.8
704.8
734.4
674.2
748.6
763.4
658.0
627.5
528.9
488.3
575.5
735.6
685.3
613.6
629.5
634.7
652.6
728.3
634.3
690.7
676.3
675.4
595.6
712.4
735.8
544.4
567.0
510.0
564.0
630.7
496.7
660.9
601.2
655.2
591.6
606.1
560.7
368.3
371.6
413.9
413.9
389.0
399.2
429.8
395.6
472
486
525
396
511
525
492
517
525
474
539
468
543
532
565
535
534
546
494
552
511
451
537
494
549
544
598
583
582
589
578
561
592
504
545
547
585
562
520
581
590
562
548
567
542
473
531
462
479
533
552
547
562
524
479
445
406
475
589
495
484
536
555
565
564
573
569
588
546
508
560
558
516
549
595
586
597
592
538
590
576
451
538
555
532
530
553
626
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573
569
562
468
483
460
411
458
455
600
605
545
549
415
568
577
517
558
518
489
502
569
540
550
557
542
542
582
525
584
562
639
613
604
613
625
654
638

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40195&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40195&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40195&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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Estimation Results of Blocked Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean494.752032967033508.025934065934520.60164835164818.698482650275425.8496153846154
median530542547.415.813253386426117.4000000000000
midrange470.9625475.15477.7511.63491465137266.78749999999997

\begin{tabular}{lllllllll}
\hline
Estimation Results of Blocked Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 494.752032967033 & 508.025934065934 & 520.601648351648 & 18.6984826502754 & 25.8496153846154 \tabularnewline
median & 530 & 542 & 547.4 & 15.8132533864261 & 17.4000000000000 \tabularnewline
midrange & 470.9625 & 475.15 & 477.75 & 11.6349146513726 & 6.78749999999997 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=40195&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]494.752032967033[/C][C]508.025934065934[/C][C]520.601648351648[/C][C]18.6984826502754[/C][C]25.8496153846154[/C][/ROW]
[ROW][C]median[/C][C]530[/C][C]542[/C][C]547.4[/C][C]15.8132533864261[/C][C]17.4000000000000[/C][/ROW]
[ROW][C]midrange[/C][C]470.9625[/C][C]475.15[/C][C]477.75[/C][C]11.6349146513726[/C][C]6.78749999999997[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=40195&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=40195&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
mean494.752032967033508.025934065934520.60164835164818.698482650275425.8496153846154
median530542547.415.813253386426117.4000000000000
midrange470.9625475.15477.7511.63491465137266.78749999999997


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')