## 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 computationFri, 11 Nov 2011 05:19:08 -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/11/t13210067936xm6v9y76fypuu3.htm/, Retrieved Tue, 06 Jun 2023 12:26:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141296, Retrieved Tue, 06 Jun 2023 12:26:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact120
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Blocked Bootstrap Plot - Central Tendency] [Co2 Notched boxplot] [2011-11-11 10:19:08] [614dd89c388120cee0dd25886939832b] [Current]
Feedback Forum

Post a new message
Dataseries X:
79717000
82855667
79346667
76270333
89532667
83541333
82456000
85818333
92106667
96873333
96580000
87769000
88396000
90995667
92785000
98112667
105779667
103660333
105435000
105204000
107466333
118554333
123614333
125620000
121524333
130830333
138871333
135215667
122096333
130005333
126566000
134808667
138761333
133778333
122598667
116446000
100745333
104419333
103477000
102054333
102446667
99528000
106549667
107587333
117091333
114029667
109721333
114697000
115063667
121234667
118393000
121308000
117579000
117414000
117740333
109417000
116442333
113311000
109391333
107198667

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 3 seconds R Server 'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141296&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141296&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141296&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 3 seconds R Server 'Gwilym Jenkins' @ jenkins.wessa.net

 Estimation Results of Blocked Bootstrap statistic Q1 Estimate Q3 S.D. IQR mean 103875826.3625 108613877.733333 112673931.891667 5885563.67054766 8798105.52916665 median 104788749.875 108489333 115063667 7223544.39067395 10274917.125 midrange 107515833 107570833 109109000 4457041.08139115 1593167

\begin{tabular}{lllllllll}
\hline
Estimation Results of Blocked Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 103875826.3625 & 108613877.733333 & 112673931.891667 & 5885563.67054766 & 8798105.52916665 \tabularnewline
median & 104788749.875 & 108489333 & 115063667 & 7223544.39067395 & 10274917.125 \tabularnewline
midrange & 107515833 & 107570833 & 109109000 & 4457041.08139115 & 1593167 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141296&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]103875826.3625[/C][C]108613877.733333[/C][C]112673931.891667[/C][C]5885563.67054766[/C][C]8798105.52916665[/C][/ROW]
[ROW][C]median[/C][C]104788749.875[/C][C]108489333[/C][C]115063667[/C][C]7223544.39067395[/C][C]10274917.125[/C][/ROW]
[ROW][C]midrange[/C][C]107515833[/C][C]107570833[/C][C]109109000[/C][C]4457041.08139115[/C][C]1593167[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141296&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141296&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 103875826.3625 108613877.733333 112673931.891667 5885563.67054766 8798105.52916665 median 104788749.875 108489333 115063667 7223544.39067395 10274917.125 midrange 107515833 107570833 109109000 4457041.08139115 1593167

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')