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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 computationMon, 03 Dec 2012 14:10:09 -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/2012/Dec/03/t135456182910yxdu9s5q8wsik.htm/, Retrieved Sun, 28 Apr 2024 15:51:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=195957, Retrieved Sun, 28 Apr 2024 15:51:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact137

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] [] [2012-12-03 19:10:09] [19a5fa3cc9952272699ac0aa748608b8] [Current]
- RMPD    [Variability] [] [2012-12-09 15:39:32] [73ff502f5cc0e8f9d4cad04b672b43dc]
- RMPD    [Standard Deviation Plot] [] [2012-12-09 16:04:26] [73ff502f5cc0e8f9d4cad04b672b43dc]
- RMPD    [Standard Deviation-Mean Plot] [] [2012-12-09 17:36:52] [73ff502f5cc0e8f9d4cad04b672b43dc]
- RMPD    [Classical Decomposition] [] [2012-12-09 17:45:19] [73ff502f5cc0e8f9d4cad04b672b43dc]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,6
2
2,6
3
2,6
2,9
2,5
2,4
1,5
1,1
0,6
0,9
1,1
1,5
1,7
1,2
0,4
-0,7
-1,4
-1,6
-1,2
-0,4
-0,2
-0,3
-0,5
0
-0,5
0,2
0,7
1,6
2,6
3,3
3,3
3,2
3,5
3,9
4,5
4,6
6,6
7,1
8,9
8,8
8,5
7,6
7,5
7,5
6,1
6,3
8,4
7,1
5,6
4,2
2,1
1,2
0,9
1,4
1,7
1,7
1,9
1,3
-0,7
0,3
0,8
0,9
1,1
2,5
2,7
3,3
4,2
3,8
3,8
3,2
2,9
1,9
1,7
1,6
1,7
1,2
0,7
-0,2
-1,5
-1,2
-1
0
-0,6
0,7
1,3
0,8
1
0,5
0,3
1
1
1,1
1,5
1,5
2
1,7
0,6
1,2
1,5
2,1
3,2
3,9
4,6
4,2
4,4
3,7
3,7
2,8
2,9
3,9
3,1
3
2,8
2,4
2,1
3,1
3
3,1
3,3
3,3
3,8
3,1
3,9
4
4,4
3,7
3,6
3,4
2,8
2,8
2,6
3,3
2,4
1,6
0,7
0
-1,1
-1,2
-1,3
-1,6
-1,3
-1,6
-1,1
-1
0,3
1,2
0,7
1,1
2,1
2,5
2,3
2,3
2,6
3,2
2,2
2,7
2,2
1,4
2,4
2
1,3
1,1
1,4
1,8
1,9
1,6

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195957&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195957&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195957&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'George Udny Yule' @ yule.wessa.net






Estimation Results of Blocked Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean1.871428571428572.155952380952382.403571428571430.4949514647479610.532142857142857
median1.651.952.30.4491306795877330.65
midrange3.653.653.650.5946607676410380

\begin{tabular}{lllllllll}
\hline
Estimation Results of Blocked Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 1.87142857142857 & 2.15595238095238 & 2.40357142857143 & 0.494951464747961 & 0.532142857142857 \tabularnewline
median & 1.65 & 1.95 & 2.3 & 0.449130679587733 & 0.65 \tabularnewline
midrange & 3.65 & 3.65 & 3.65 & 0.594660767641038 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=195957&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]1.87142857142857[/C][C]2.15595238095238[/C][C]2.40357142857143[/C][C]0.494951464747961[/C][C]0.532142857142857[/C][/ROW]
[ROW][C]median[/C][C]1.65[/C][C]1.95[/C][C]2.3[/C][C]0.449130679587733[/C][C]0.65[/C][/ROW]
[ROW][C]midrange[/C][C]3.65[/C][C]3.65[/C][C]3.65[/C][C]0.594660767641038[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=195957&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=195957&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
mean1.871428571428572.155952380952382.403571428571430.4949514647479610.532142857142857
median1.651.952.30.4491306795877330.65
midrange3.653.653.650.5946607676410380


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 750 ; par2 = 5 ; par3 = 0 ;
Parameters (R input):
par1 = 50 ; 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')