## Free Statistics

of Irreproducible Research!

Author's title
Author*The author of this computation has been verified*
R Software Modulerwasp_bootstrapplot.wasp
Title produced by softwareBlocked Bootstrap Plot - Central Tendency
Date of computationTue, 15 Nov 2011 16:33:36 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/15/t1321392824w4pv1okjiqc3bth.htm/, Retrieved Wed, 27 Sep 2023 08:23:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143581, Retrieved Wed, 27 Sep 2023 08:23:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact176
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
- RMPD  [Blocked Bootstrap Plot - Central Tendency] [Colombia Coffee] [2008-01-07 10:26:26] [74be16979710d4c4e7c6647856088456]
- RM D    [Blocked Bootstrap Plot - Central Tendency] [Bootstrap Car Sales] [2010-11-06 16:12:15] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-    D      [Blocked Bootstrap Plot - Central Tendency] [Blocked bootstrap...] [2010-11-06 16:42:34] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
- R P           [Blocked Bootstrap Plot - Central Tendency] [] [2011-11-15 21:33:36] [542c32830549043c4555f1bd78aefedb] [Current]
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Dataseries X:
12117
11597
12291
12461
13469
13448
13896
13846
13159
13682
13083
13507
12545
12076
13181
13395
14108
14017
14464
14139
13393
13979
13538
13752
12729
12308
13663
13660
14367
14737
15155
15616
14738
14872
14551
15020
13884
13224
14771
14645
15960
16223
16073
16233
15210
15173
14696
15202
14492
14176
15634
16043
17448
16975
17055
17286
15987
16682
16243
16580

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143581&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143581&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143581&T=0

As an alternative you can also use a QR Code:

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

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'Herman Ole Andreas Wold' @ wold.wessa.net

 Estimation Results of Blocked Bootstrap statistic Q1 Estimate Q3 S.D. IQR mean 14159.9291666667 14440.9 14661.6958333333 406.788719215168 501.766666666668 median 13896 14271.5 14675.625 515.173664024286 779.625

\begin{tabular}{lllllllll}
\hline
Estimation Results of Blocked Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 14159.9291666667 & 14440.9 & 14661.6958333333 & 406.788719215168 & 501.766666666668 \tabularnewline
median & 13896 & 14271.5 & 14675.625 & 515.173664024286 & 779.625 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143581&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]14159.9291666667[/C][C]14440.9[/C][C]14661.6958333333[/C][C]406.788719215168[/C][C]501.766666666668[/C][/ROW]
[ROW][C]median[/C][C]13896[/C][C]14271.5[/C][C]14675.625[/C][C]515.173664024286[/C][C]779.625[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143581&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143581&T=1

As an alternative you can also use a QR Code:

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

 Estimation Results of Blocked Bootstrap statistic Q1 Estimate Q3 S.D. IQR mean 14159.9291666667 14440.9 14661.6958333333 406.788719215168 501.766666666668 median 13896 14271.5 14675.625 515.173664024286 779.625

 95% Confidence Intervals Mean Median Lower Bound 14372.4085951915 14216.0497626872 Upper Bound 14443.5747381418 14326.9502373128

\begin{tabular}{lllllllll}
\hline
95% Confidence Intervals \tabularnewline
& Mean & Median \tabularnewline
Lower Bound & 14372.4085951915 & 14216.0497626872 \tabularnewline
Upper Bound & 14443.5747381418 & 14326.9502373128 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143581&T=2

[TABLE]
[ROW][C]95% Confidence Intervals[/C][/ROW]
[ROW][C][/C][C]Mean[/C][C]Median[/C][/ROW]
[ROW][C]Lower Bound[/C][C]14372.4085951915[/C][C]14216.0497626872[/C][/ROW]
[ROW][C]Upper Bound[/C][C]14443.5747381418[/C][C]14326.9502373128[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143581&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143581&T=2

As an alternative you can also use a QR Code:

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

 95% Confidence Intervals Mean Median Lower Bound 14372.4085951915 14216.0497626872 Upper Bound 14443.5747381418 14326.9502373128

par1 <- as.numeric(par1)par2 <- as.numeric(par2)if (par1 < 10) par1 = 10if (par1 > 5000) par1 = 5000if (par2 < 3) par2 = 3if (par2 > length(x)) par2 = length(x)library(lattice)library(boot)boot.stat <- function(s){s.mean <- mean(s)s.median <- median(s)c(s.mean, s.median)}(r <- tsboot(x, boot.stat, R=par1, l=12, sim='fixed'))z <- data.frame(cbind(r$t[,1],r$t[,2]))colnames(z) <- list('mean','median')bitmap(file='plot7.png')b <- boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency')grid()dev.off()bload(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.end(a)table.save(a,file='mytable.tab')a<-table.start()a<-table.row.start(a)a<-table.element(a,'95% Confidence Intervals',3,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'',1,TRUE)a<-table.element(a,'Mean',1,TRUE)a<-table.element(a,'Median',1,TRUE)a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Lower Bound',1,TRUE)a<-table.element(a,b$conf[1,1])a<-table.element(a,b$conf[1,2])a<-table.row.end(a)a<-table.row.start(a)a<-table.element(a,'Upper Bound',1,TRUE)a<-table.element(a,b$conf[2,1])a<-table.element(a,b$conf[2,2])a<-table.row.end(a)a<-table.end(a)table.save(a,file='mytable1.tab')