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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 computationFri, 24 May 2013 03:53:39 -0400
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/May/24/t1369382058zbdeayea18ao9gf.htm/, Retrieved Wed, 01 May 2024 12:50:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=210396, Retrieved Wed, 01 May 2024 12:50:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145

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] [] [2013-05-24 07:26:47] [709b7720e5f7ef30901a7a8e706288f1]
- R P   [Blocked Bootstrap Plot - Central Tendency] [] [2013-05-24 07:50:54] [709b7720e5f7ef30901a7a8e706288f1]
-   P       [Blocked Bootstrap Plot - Central Tendency] [] [2013-05-24 07:53:39] [09b6c15525a7e41be57b956512900af9] [Current]
-   P         [Blocked Bootstrap Plot - Central Tendency] [] [2013-05-24 07:56:55] [709b7720e5f7ef30901a7a8e706288f1]
- R PD        [Blocked Bootstrap Plot - Central Tendency] [Oef7 eigen reeks ] [2013-05-24 08:02:52] [709b7720e5f7ef30901a7a8e706288f1]
- R PD          [Blocked Bootstrap Plot - Central Tendency] [] [2013-05-24 08:10:01] [709b7720e5f7ef30901a7a8e706288f1]
- RMPD            [Variability] [Oef 8 oef 1] [2013-05-24 09:55:27] [709b7720e5f7ef30901a7a8e706288f1]
- RMPD            [Standard Deviation Plot] [oef8 oef2] [2013-05-24 11:21:08] [709b7720e5f7ef30901a7a8e706288f1]
- RMPD            [Standard Deviation-Mean Plot] [oef 8 oef 2 B] [2013-05-24 12:15:08] [709b7720e5f7ef30901a7a8e706288f1]
- RMPD            [Variability] [oef 8 eigen reeks...] [2013-05-24 13:43:17] [709b7720e5f7ef30901a7a8e706288f1]
- RMP             [Standard Deviation Plot] [oef 8 eigen reeks 1B] [2013-05-24 14:42:40] [709b7720e5f7ef30901a7a8e706288f1]
- RMP             [Standard Deviation-Mean Plot] [oef 8 eigen reeks 1c] [2013-05-24 15:02:19] [709b7720e5f7ef30901a7a8e706288f1]
- RMPD            [Classical Decomposition] [oef 9 oef 1] [2013-05-24 15:07:28] [709b7720e5f7ef30901a7a8e706288f1]
- RMPD            [Classical Decomposition] [oef 9 oef 1] [2013-05-24 15:13:55] [709b7720e5f7ef30901a7a8e706288f1]
- RMPD            [Classical Decomposition] [oef 9 oef 2 eigen...] [2013-05-24 15:28:00] [709b7720e5f7ef30901a7a8e706288f1]
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Dataset

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Histogram
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 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 & 8 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210396&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]8 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=210396&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210396&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 time8 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Estimation Results of Blocked Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean22.941388888888923.165555555555623.38027777777780.3109051363605520.43888888888889
median222224.6251.32087748738612.625
midrange27.535353.630357763008657.5

\begin{tabular}{lllllllll}
\hline
Estimation Results of Blocked Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 22.9413888888889 & 23.1655555555556 & 23.3802777777778 & 0.310905136360552 & 0.43888888888889 \tabularnewline
median & 22 & 22 & 24.625 & 1.3208774873861 & 2.625 \tabularnewline
midrange & 27.5 & 35 & 35 & 3.63035776300865 & 7.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210396&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]22.9413888888889[/C][C]23.1655555555556[/C][C]23.3802777777778[/C][C]0.310905136360552[/C][C]0.43888888888889[/C][/ROW]
[ROW][C]median[/C][C]22[/C][C]22[/C][C]24.625[/C][C]1.3208774873861[/C][C]2.625[/C][/ROW]
[ROW][C]midrange[/C][C]27.5[/C][C]35[/C][C]35[/C][C]3.63035776300865[/C][C]7.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210396&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210396&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
mean22.941388888888923.165555555555623.38027777777780.3109051363605520.43888888888889
median222224.6251.32087748738612.625
midrange27.535353.630357763008657.5


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')