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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_bootstrapplot1.wasp
Title produced by softwareBootstrap Plot - Central Tendency
Date of computationWed, 13 May 2009 12:23:37 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/13/t1242239058k8h5ohzmfunxe1k.htm/, Retrieved Tue, 12 Nov 2024 22:16:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39896, Retrieved Tue, 12 Nov 2024 22:16:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact212

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [autocorr - niet w...] [2009-05-13 18:11:28] [74be16979710d4c4e7c6647856088456]
- RMPD    [Bootstrap Plot - Central Tendency] [bootstrap plot - ...] [2009-05-13 18:23:37] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   PD      [Bootstrap Plot - Central Tendency] [bootstrap plot ju...] [2009-05-13 18:28:57] [74be16979710d4c4e7c6647856088456]
-    D        [Bootstrap Plot - Central Tendency] [opgave 7 verbeter...] [2009-05-22 11:52:03] [74be16979710d4c4e7c6647856088456]
-   PD      [Bootstrap Plot - Central Tendency] [bootstrap 200 - m...] [2009-05-13 18:31:19] [74be16979710d4c4e7c6647856088456]
-             [Bootstrap Plot - Central Tendency] [Opgave 7 verbeter...] [2009-05-22 11:54:11] [74be16979710d4c4e7c6647856088456]
-   PD      [Bootstrap Plot - Central Tendency] [bootstrap 750 - m...] [2009-05-13 18:33:55] [74be16979710d4c4e7c6647856088456]
-             [Bootstrap Plot - Central Tendency] [opgave 7 verbeter...] [2009-05-22 11:56:06] [74be16979710d4c4e7c6647856088456]
-             [Bootstrap Plot - Central Tendency] [opgave 7 verbeter...] [2009-05-22 11:56:06] [74be16979710d4c4e7c6647856088456]
- RMPD        [Variability] [variability - max...] [2009-05-22 12:40:32] [74be16979710d4c4e7c6647856088456]
- RMPD          [(Partial) Autocorrelation Function] [Robin Bosmans Dat...] [2009-06-03 17:53:14] [b9edf9f086957f8eb4568189a646cc4d]
- RMPD          [(Partial) Autocorrelation Function] [Robin Bosmans- Da...] [2009-06-03 17:58:16] [b9edf9f086957f8eb4568189a646cc4d]
- RMPD          [(Partial) Autocorrelation Function] [Robin Bosmans -Da...] [2009-06-03 18:02:16] [b9edf9f086957f8eb4568189a646cc4d]
- RMPD          [(Partial) Autocorrelation Function] [Robin Bosmans-Dat...] [2009-06-03 18:31:56] [b9edf9f086957f8eb4568189a646cc4d]
- RMPD        [Standard Deviation Plot] [standard deviatio...] [2009-05-22 12:55:21] [74be16979710d4c4e7c6647856088456]
- RMPD        [Standard Deviation-Mean Plot] [standard deviatio...] [2009-05-22 13:14:56] [74be16979710d4c4e7c6647856088456]
-   P           [Standard Deviation-Mean Plot] [standaard deviati...] [2009-06-01 16:21:19] [74be16979710d4c4e7c6647856088456]
- RMPD        [Variability] [variability - nie...] [2009-05-22 13:22:05] [74be16979710d4c4e7c6647856088456]
- RMPD        [Standard Deviation Plot] [standard deviatio...] [2009-05-22 13:25:10] [74be16979710d4c4e7c6647856088456]
- RMPD        [Standard Deviation-Mean Plot] [standard deviatio...] [2009-05-22 13:31:40] [74be16979710d4c4e7c6647856088456]
- RMPD      [Blocked Bootstrap Plot - Central Tendency] [blocked bootstrap...] [2009-05-13 18:56:04] [74be16979710d4c4e7c6647856088456]
- RMPD      [Blocked Bootstrap Plot - Central Tendency] [blocked bootstr 2...] [2009-05-13 18:57:54] [74be16979710d4c4e7c6647856088456]
- RMPD      [Blocked Bootstrap Plot - Central Tendency] [blocked boot 750 ...] [2009-05-13 19:00:48] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
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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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39896&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39896&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39896&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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Estimation Results of Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean23.014166666666723.165555555555623.31722222222220.2305895050188430.303055555555559
median2222251.32516721068423
midrange27.535353.621185160127537.5

\begin{tabular}{lllllllll}
\hline
Estimation Results of Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 23.0141666666667 & 23.1655555555556 & 23.3172222222222 & 0.230589505018843 & 0.303055555555559 \tabularnewline
median & 22 & 22 & 25 & 1.3251672106842 & 3 \tabularnewline
midrange & 27.5 & 35 & 35 & 3.62118516012753 & 7.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39896&T=1

[TABLE]
[ROW][C]Estimation Results of 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]23.0141666666667[/C][C]23.1655555555556[/C][C]23.3172222222222[/C][C]0.230589505018843[/C][C]0.303055555555559[/C][/ROW]
[ROW][C]median[/C][C]22[/C][C]22[/C][C]25[/C][C]1.3251672106842[/C][C]3[/C][/ROW]
[ROW][C]midrange[/C][C]27.5[/C][C]35[/C][C]35[/C][C]3.62118516012753[/C][C]7.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39896&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39896&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 Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean23.014166666666723.165555555555623.31722222222220.2305895050188430.303055555555559
median2222251.32516721068423
midrange27.535353.621185160127537.5


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 500 ;
Parameters (R input):
par1 = 500 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par1 < 10) par1 = 10
if (par1 > 5000) par1 = 5000
library(lattice)
library(boot)
boot.stat <- function(s,i)
{
s.mean <- mean(s[i])
s.median <- median(s[i])
s.midrange <- (max(s[i]) + min(s[i])) / 2
c(s.mean, s.median, s.midrange)
}
(r <- boot(x,boot.stat, R=par1, stype='i'))
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$t[,3]))
colnames(z) <- list('mean','median','midrange')
bitmap(file='plot7.png')
boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency')
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Estimation Results of Bootstrap',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'statistic',header=TRUE)
a<-table.element(a,'Q1',header=TRUE)
a<-table.element(a,'Estimate',header=TRUE)
a<-table.element(a,'Q3',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'IQR',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
q1 <- quantile(r$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')