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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 computationSun, 04 Dec 2011 13:09:38 -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/2011/Dec/04/t132302224667dtmd1t1214w01.htm/, Retrieved Sun, 05 May 2024 12:37:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=150720, Retrieved Sun, 05 May 2024 12:37:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W22
Estimated Impact102

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] [Evolutie gemiddel...] [2011-12-04 18:09:38] [9b00bb73e1719a6b710100764835da33] [Current]
-   PD    [Blocked Bootstrap Plot - Central Tendency] [e] [2011-12-04 18:12:29] [d700a6813b2ef07b7398fe84f8eae4b7]
-   PD    [Blocked Bootstrap Plot - Central Tendency] [Evolutie gemiddel...] [2011-12-04 18:12:29] [d700a6813b2ef07b7398fe84f8eae4b7]
-   PD    [Blocked Bootstrap Plot - Central Tendency] [Evolutie gemiddel...] [2011-12-04 18:15:16] [d700a6813b2ef07b7398fe84f8eae4b7]
- RMPD    [Variability] [Maximumprijs show...] [2011-12-04 18:29:37] [d700a6813b2ef07b7398fe84f8eae4b7]
- RMPD    [Standard Deviation Plot] [Inschrijvingen ni...] [2011-12-04 18:35:36] [d700a6813b2ef07b7398fe84f8eae4b7]
- RMPD    [Standard Deviation-Mean Plot] [Inschrijvingen ni...] [2011-12-04 18:44:52] [d700a6813b2ef07b7398fe84f8eae4b7]
- R P       [Standard Deviation-Mean Plot] [KDGP2W82] [2011-12-11 13:00:18] [d700a6813b2ef07b7398fe84f8eae4b7]
-             [Standard Deviation-Mean Plot] [KDGP2W83] [2011-12-11 13:08:30] [ed108f6919ebadc8e809f8b86ef40b05]
- RMP         [Classical Decomposition] [KDGP2W91] [2011-12-11 13:28:26] [d700a6813b2ef07b7398fe84f8eae4b7]
- R             [Classical Decomposition] [] [2011-12-11 13:41:56] [d700a6813b2ef07b7398fe84f8eae4b7]
- RMPD        [Classical Decomposition] [] [2011-12-11 13:38:04] [d700a6813b2ef07b7398fe84f8eae4b7]
-             [Standard Deviation-Mean Plot] [Inschrijvingen ni...] [2011-12-11 13:46:28] [d700a6813b2ef07b7398fe84f8eae4b7]
- RMP     [Variability] [Evolutie gemiddel...] [2011-12-04 19:01:51] [d700a6813b2ef07b7398fe84f8eae4b7]
- RMPD    [Standard Deviation Plot] [Evolutie gemiddel...] [2011-12-04 19:05:18] [d700a6813b2ef07b7398fe84f8eae4b7]
- RMPD    [Standard Deviation-Mean Plot] [Evolutie gemiddel...] [2011-12-04 19:11:32] [d700a6813b2ef07b7398fe84f8eae4b7]
- R P       [Standard Deviation-Mean Plot] [KDGP2W83] [2011-12-11 13:11:58] [d700a6813b2ef07b7398fe84f8eae4b7]
-             [Standard Deviation-Mean Plot] [Evolutie gemiddel...] [2011-12-11 13:44:08] [d700a6813b2ef07b7398fe84f8eae4b7]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10,93
10,92
10,89
10,94
10,98
10,99
11,02
11,04
11,05
11,05
11,02
10,91
11,01
11,02
11,03
11,04
11,06
11,08
11,06
11,06
11,09
11,07
11,06
11,08
11,08
11,08
11,11
11,09
11,08
11,05
11,07
11,06
11,06
11,07
11,02
11,01
11,04
11,02
11,03
11,17
11,19
11,15
11,13
11,06
11,01
11,03
10,99
10,94
11
11,06
11,06
11,05
11,04
11,15
11,2
11,16
11,3
11,23
11,25
11,25
11,12
11,14
11,17
11,25
11,27
11,34
11,39
11,44
11,46
11,49
11,51
11,48
11,49
11,52
11,56
11,58
11,58
11,58
11,6
11,62
11,62
11,64
11,67
11,66
11,72
11,82
11,9
12,04
12,08
12,15
12,19
12,22
12,23
12,25
12,26
12,27
12,34
12,38
12,42
12,43
12,48
12,5
12,5
12,49
12,46
12,45
12,45
12,38
12,42
12,37
12,35
12,35
12,36
12,32
12,32
12,34
12,35
12,34
12,31
12,24

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150720&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]2 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=150720&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150720&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Estimation Results of Blocked Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean11.399833333333311.5112511.60579166666670.1751587733339390.205958333333333
median11.1387511.2411.481250.2804614273744220.342499999999999
midrange11.6812511.69511.7050.09728980482275090.0237499999999997

\begin{tabular}{lllllllll}
\hline
Estimation Results of Blocked Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 11.3998333333333 & 11.51125 & 11.6057916666667 & 0.175158773333939 & 0.205958333333333 \tabularnewline
median & 11.13875 & 11.24 & 11.48125 & 0.280461427374422 & 0.342499999999999 \tabularnewline
midrange & 11.68125 & 11.695 & 11.705 & 0.0972898048227509 & 0.0237499999999997 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=150720&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]11.3998333333333[/C][C]11.51125[/C][C]11.6057916666667[/C][C]0.175158773333939[/C][C]0.205958333333333[/C][/ROW]
[ROW][C]median[/C][C]11.13875[/C][C]11.24[/C][C]11.48125[/C][C]0.280461427374422[/C][C]0.342499999999999[/C][/ROW]
[ROW][C]midrange[/C][C]11.68125[/C][C]11.695[/C][C]11.705[/C][C]0.0972898048227509[/C][C]0.0237499999999997[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=150720&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=150720&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
mean11.399833333333311.5112511.60579166666670.1751587733339390.205958333333333
median11.1387511.2411.481250.2804614273744220.342499999999999
midrange11.6812511.69511.7050.09728980482275090.0237499999999997


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 50 ; par2 = 12 ;
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')