## 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 13:43:40 -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/t1387737840quf63stra25mlre.htm/, Retrieved Tue, 09 Aug 2022 20:25:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232559, Retrieved Tue, 09 Aug 2022 20:25:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69
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 18:43:40] [818da16b08b21220aa14002c9e16e6e1] [Current]
Feedback Forum

Post a new message
Dataseries X:
85,73
85,73
85,74
86,32
87,59
87,81
87,87
87,94
87,96
88,01
88,01
88,01
88,01
88,01
88,59
89,43
89,63
89,73
89,88
89,89
89,9
89,91
89,86
90,07
90,17
90,17
90,28
90,87
92,05
92,1
92,16
92,22
92,25
92,29
92,29
92,29
92,29
92,29
91,95
91,82
92,16
92,31
92,33
92,4
92,54
92,49
92,54
92,58
92,58
92,39
92,33
93,59
95,51
95,99
96,22
97,2
98,54
99,64
100,23
100,17

 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 6 seconds R Server 'Gertrude Mary Cox' @ cox.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 & 6 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232559&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232559&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232559&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 6 seconds R Server 'Gertrude Mary Cox' @ cox.wessa.net

 Estimation Results of Blocked Bootstrap statistic Q1 Estimate Q3 S.D. IQR mean 90.921625 91.3476666666667 92.337125 1.02207388045525 1.41550000000001 median 90.35 92 92.29 1.26741873305469 1.94000000000001 midrange 92.72375 92.98 92.98 1.41258866797733 0.256250000000009

\begin{tabular}{lllllllll}
\hline
Estimation Results of Blocked Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 90.921625 & 91.3476666666667 & 92.337125 & 1.02207388045525 & 1.41550000000001 \tabularnewline
median & 90.35 & 92 & 92.29 & 1.26741873305469 & 1.94000000000001 \tabularnewline
midrange & 92.72375 & 92.98 & 92.98 & 1.41258866797733 & 0.256250000000009 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232559&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]90.921625[/C][C]91.3476666666667[/C][C]92.337125[/C][C]1.02207388045525[/C][C]1.41550000000001[/C][/ROW]
[ROW][C]median[/C][C]90.35[/C][C]92[/C][C]92.29[/C][C]1.26741873305469[/C][C]1.94000000000001[/C][/ROW]
[ROW][C]midrange[/C][C]92.72375[/C][C]92.98[/C][C]92.98[/C][C]1.41258866797733[/C][C]0.256250000000009[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232559&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232559&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 90.921625 91.3476666666667 92.337125 1.02207388045525 1.41550000000001 median 90.35 92 92.29 1.26741873305469 1.94000000000001 midrange 92.72375 92.98 92.98 1.41258866797733 0.256250000000009

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')