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Author

*The author of this computation has been verified*

R Software Module

rwasp_bootstrapplot.wasp

Title produced by software

Blocked Bootstrap Plot - Central Tendency

Date of computation

Thu, 30 Oct 2008 07:01:20 -0600

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/30/t1225371981poch1yy00txtlce.htm/, Retrieved Sun, 19 May 2024 13:20:54 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20001, Retrieved Sun, 19 May 2024 13:20:54 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

197

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Blocked Bootstrap Plot - Central Tendency] [Taak 5 deel 2 Q1 ...] [2008-10-30 13:01:20] [286e96bd53289970f8e5f25a93fb50b3] [Current]
- RM D    [Pearson Correlation] [Taak 5 deel 2 Q1 ...] [2008-10-30 13:33:26] [819b576fab25b35cfda70f80599828ec] 
- RM D    [Pearson Correlation] [Taak 5 deel 2 Q1 ...] [2008-10-30 13:39:26] [819b576fab25b35cfda70f80599828ec] 
- RM D    [Pearson Correlation] [Taak 5 deel 2 Q1 ...] [2008-10-30 13:42:36] [6fea0e9a9b3b29a63badf2c274e82506] 
- RM D    [Pearson Correlation] [Taak 5 deel 2 Q1 ...] [2008-10-30 13:45:27] [6fea0e9a9b3b29a63badf2c274e82506] 
F RM D    [Star Plot] [Task 5 Deel 2 Q2 ...] [2008-10-30 14:15:09] [819b576fab25b35cfda70f80599828ec] 
F RM D      [Mean Plot] [Taak 5 deel 2 Q3 ...] [2008-10-30 14:47:33] [6fea0e9a9b3b29a63badf2c274e82506] 
- RM D      [Mean Plot] [Taak 5 deel 2 Q3 ...] [2008-10-30 15:05:13] [819b576fab25b35cfda70f80599828ec] 
- RM D      [Mean Plot] [Taak 5 deel 2 Q3 ...] [2008-10-30 15:10:04] [819b576fab25b35cfda70f80599828ec] 
- RM D      [Mean Plot] [Taak 5 deel 2 Q3 ...] [2008-10-30 15:12:54] [6fea0e9a9b3b29a63badf2c274e82506] 
- RM D      [Mean Plot] [Taak 5 deel 2 Q3 ...] [2008-10-30 15:15:09] [819b576fab25b35cfda70f80599828ec] 
F RM D      [Notched Boxplots] [Taak 5 deel 1 tas...] [2008-10-30 15:39:12] [6fea0e9a9b3b29a63badf2c274e82506] 
F R PD        [Notched Boxplots] [Taak 5 Deel 1 Task 3] [2008-11-03 16:24:11] [6fea0e9a9b3b29a63badf2c274e82506] 

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Dataseries X:

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Histogram

Boxplots

20,8
17,1
22,3
25,1
27,7
24,9
29,5

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 5 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20001&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20001&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20001&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	5 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Estimation Results of Blocked Bootstrap
statistic	Q1	Estimate	Q3	S.D.	IQR
mean	22.7928571428571	23.9142857142857	24.9607142857143	1.52075117102263	2.16785714285714
median	22.3	24.9	25.1	2.08530793370109	2.8
midrange	22.4	23.3	25	1.37521978203406	2.6

\begin{tabular}{lllllllll}
\hline
Estimation Results of Blocked Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 22.7928571428571 & 23.9142857142857 & 24.9607142857143 & 1.52075117102263 & 2.16785714285714 \tabularnewline
median & 22.3 & 24.9 & 25.1 & 2.08530793370109 & 2.8 \tabularnewline
midrange & 22.4 & 23.3 & 25 & 1.37521978203406 & 2.6 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20001&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]22.7928571428571[/C][C]23.9142857142857[/C][C]24.9607142857143[/C][C]1.52075117102263[/C][C]2.16785714285714[/C][/ROW]
[ROW][C]median[/C][C]22.3[/C][C]24.9[/C][C]25.1[/C][C]2.08530793370109[/C][C]2.8[/C][/ROW]
[ROW][C]midrange[/C][C]22.4[/C][C]23.3[/C][C]25[/C][C]1.37521978203406[/C][C]2.6[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20001&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20001&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	22.7928571428571	23.9142857142857	24.9607142857143	1.52075117102263	2.16785714285714
median	22.3	24.9	25.1	2.08530793370109	2.8
midrange	22.4	23.3	25	1.37521978203406	2.6

Figure 1

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Figure 2

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Figure 3

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Figure 4

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Figure 5

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Figure 6

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Figure 7

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Parameters (Session):

par1 = 500 ; par2 = 12 ;

Parameters (R input):

par1 = 500 ; 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=1, 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')

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