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Description of Statistical Computation

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 computationThu, 25 Nov 2010 21:09:19 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/25/t1290719272zcgjlt4hhwu0zjp.htm/, Retrieved Tue, 23 Apr 2024 13:43:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=101531, Retrieved Tue, 23 Apr 2024 13:43:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132

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] [] [2010-11-25 21:09:19] [40b262140b988d7b8204c4955f8b7651] [Current]
-   PD    [Blocked Bootstrap Plot - Central Tendency] [Paper - Bootstrap...] [2010-11-30 22:44:42] [8677c3f87cec9201607d40be65aa9670]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.00
1.10
0.20
0.20
-0.10
-0.20
-0.10
-0.40
0.00
-0.30
-0.20
0.30
1.80
2.40
2.90
3.60
3.90
4.90
5.20
5.80
6.00
7.60
7.70
8.70
8.70
8.90
9.20
9.70
10.20
10.50
10.10
11.40
11.60
11.60
12.40
12.40
11.40
11.60
11.90
11.00
10.70
10.30
11.00
10.20
10.10
9.90
9.30
8.50
8.40
8.10
7.80
8.40
8.80
8.90
8.40
7.80
7.50
7.30
7.60
7.90
8.30
8.20
8.00
7.60
7.30
6.80
6.40
6.60
6.80
6.60
6.00
5.80
5.90
5.50
5.30
5.30
4.90
5.40
6.20
6.20
6.40
7.10
7.40
7.90
7.60
8.40
8.80
8.60
8.70
8.90
8.20
8.10
7.30
6.90
7.00
6.90
7.10
7.00
7.00
7.20
7.70
7.40
7.40
7.40
7.80
8.00
7.80
7.40
6.90
5.90
5.60
5.40
4.40
3.90
3.80
3.90
3.90
4.10
3.90
4.20
4.20
4.70
4.40
4.60
5.50
5.90
6.00
5.80
4.90

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=101531&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=101531&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=101531&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 time5 seconds
R Server'George Udny Yule' @ 72.249.76.132






Estimation Results of Blocked Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean6.100775193798456.634883720930237.238953488372090.8563338167387281.13817829457364
median6.67.17.50.8200299129399080.9
midrange5.7566.06250.847211836432650.3125

\begin{tabular}{lllllllll}
\hline
Estimation Results of Blocked Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 6.10077519379845 & 6.63488372093023 & 7.23895348837209 & 0.856333816738728 & 1.13817829457364 \tabularnewline
median & 6.6 & 7.1 & 7.5 & 0.820029912939908 & 0.9 \tabularnewline
midrange & 5.75 & 6 & 6.0625 & 0.84721183643265 & 0.3125 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=101531&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]6.10077519379845[/C][C]6.63488372093023[/C][C]7.23895348837209[/C][C]0.856333816738728[/C][C]1.13817829457364[/C][/ROW]
[ROW][C]median[/C][C]6.6[/C][C]7.1[/C][C]7.5[/C][C]0.820029912939908[/C][C]0.9[/C][/ROW]
[ROW][C]midrange[/C][C]5.75[/C][C]6[/C][C]6.0625[/C][C]0.84721183643265[/C][C]0.3125[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=101531&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=101531&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
mean6.100775193798456.634883720930237.238953488372090.8563338167387281.13817829457364
median6.67.17.50.8200299129399080.9
midrange5.7566.06250.847211836432650.3125


Figures (Output of Computation)

Input Parameters & R Code

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=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')