## Free Statistics

of Irreproducible Research!

Author's title
Author*Unverified author*
R Software Modulerwasp_bootstrapplot.wasp
Title produced by softwareBlocked Bootstrap Plot - Central Tendency
Date of computationSun, 22 Dec 2013 14:27:40 -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/2013/Dec/22/t13877405254w9dk3v6g37rr85.htm/, Retrieved Sun, 05 Dec 2021 16:58:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232566, Retrieved Sun, 05 Dec 2021 16:58:56 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact65
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Blocked Bootstrap Plot - Central Tendency] [] [2013-12-22 19:27:40] [20efb5145ec2a2ddd8dcd418764211fa] [Current]
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Dataseries X:
19.4
19.4
19.4
19.5
19.5
19.5
28.7
28.7
28.7
21.8
21.8
21.8
20
20
20
22.6
22.6
22.6
22.4
22.4
22.4
18.6
18.6
18.6
16.2
16.2
16.2
13.8
13.8
13.8
24.1
24.1
24.1
19.9
19.9
19.9
22.3
22.3
22.3
20.9
20.9
20.9
23.5
23.5
23.5
23.1
23.1
23.1
25.7
25.7
25.7
19.7
19.7
19.7
23.1
23.1
23.1
20.7
20.7
20.7
18
18
18
16.9
16.9
16.9
24.4
24.4
24.4
15.5
15.5
15.5
18.4
18.4
18.4
16.2
16.2
16.2
20.6
20.6
20.6
19.8
19.8
19.8


 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 10 seconds R Server 'George Udny Yule' @ yule.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 & 10 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232566&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]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232566&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232566&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 10 seconds R Server 'George Udny Yule' @ yule.wessa.net

 Estimation Results of Blocked Bootstrap statistic Q1 Estimate Q3 S.D. IQR mean 20.1372023809524 20.5642857142857 21.0360119047619 0.663781741284869 0.898809523809522 median 19.85 20.3 20.9 0.81859868105382 1.05 midrange 20.6 21.25 21.25 0.909182881134739 0.649999999999999

\begin{tabular}{lllllllll}
\hline
Estimation Results of Blocked Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 20.1372023809524 & 20.5642857142857 & 21.0360119047619 & 0.663781741284869 & 0.898809523809522 \tabularnewline
median & 19.85 & 20.3 & 20.9 & 0.81859868105382 & 1.05 \tabularnewline
midrange & 20.6 & 21.25 & 21.25 & 0.909182881134739 & 0.649999999999999 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232566&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]20.1372023809524[/C][C]20.5642857142857[/C][C]21.0360119047619[/C][C]0.663781741284869[/C][C]0.898809523809522[/C][/ROW]
[ROW][C]median[/C][C]19.85[/C][C]20.3[/C][C]20.9[/C][C]0.81859868105382[/C][C]1.05[/C][/ROW]
[ROW][C]midrange[/C][C]20.6[/C][C]21.25[/C][C]21.25[/C][C]0.909182881134739[/C][C]0.649999999999999[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232566&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232566&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 20.1372023809524 20.5642857142857 21.0360119047619 0.663781741284869 0.898809523809522 median 19.85 20.3 20.9 0.81859868105382 1.05 midrange 20.6 21.25 21.25 0.909182881134739 0.649999999999999

par2 <- '12'par1 <- '200'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)s.midrange <- (max(s) + min(s)) / 2c(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')