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Author's title

Author*Unverified author*
R Software Modulerwasp_bootstrapplot1.wasp
Title produced by softwareBootstrap Plot - Central Tendency
Date of computationThu, 01 Dec 2011 14:25:02 -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/01/t13227678731zykt8vmh5n7oyb.htm/, Retrieved Fri, 29 Mar 2024 11:18:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=149959, Retrieved Fri, 29 Mar 2024 11:18:16 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKEYWORD: KDGP2W22
Estimated Impact86
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Bootstrap Plot - Central Tendency] [oefening 7 eigen ...] [2011-12-01 19:25:02] [25fc5ac2507862d3d3648773d283d006] [Current]
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Dataseries X:
7.08
7.08
7.09
7.07
7.06
6.99
6.99
6.99
6.98
6.96
6.95
6.91
6.91
6.87
6.91
6.89
6.88
6.9
6.91
6.85
6.86
6.82
6.8
6.83
6.84
6.89
7.14
7.21
7.25
7.31
7.3
7.48
7.49
7.4
7.44
7.42
7.14
7.24
7.33
7.61
7.66
7.69
7.7
7.68
7.71
7.71
7.72
7.68
7.72
7.74
7.76
7.9
7.97
7.96
7.95
7.97
7.93
7.99
7.96
7.92
7.97
7.98
8
8.04
8.17
8.29
8.26
8.3
8.32
8.28
8.27
8.32
8.31
8.34
8.32
8.36
8.33
8.35
8.34
8.37
8.31
8.33
8.34
8.25
8.27
8.31
8.25
8.3
8.3
8.35
8.78
8.9
8.9
8.9
9
9.05




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149959&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149959&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149959&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Estimation Results of Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean7.674036458333337.71718757.761223958333330.06190082769687480.0871875000000006
median7.77.727.830.1095858075718920.13
midrange7.97.9257.9350.03232099310758610.0350000000000001

\begin{tabular}{lllllllll}
\hline
Estimation Results of Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 7.67403645833333 & 7.7171875 & 7.76122395833333 & 0.0619008276968748 & 0.0871875000000006 \tabularnewline
median & 7.7 & 7.72 & 7.83 & 0.109585807571892 & 0.13 \tabularnewline
midrange & 7.9 & 7.925 & 7.935 & 0.0323209931075861 & 0.0350000000000001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149959&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]7.67403645833333[/C][C]7.7171875[/C][C]7.76122395833333[/C][C]0.0619008276968748[/C][C]0.0871875000000006[/C][/ROW]
[ROW][C]median[/C][C]7.7[/C][C]7.72[/C][C]7.83[/C][C]0.109585807571892[/C][C]0.13[/C][/ROW]
[ROW][C]midrange[/C][C]7.9[/C][C]7.925[/C][C]7.935[/C][C]0.0323209931075861[/C][C]0.0350000000000001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149959&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149959&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 Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean7.674036458333337.71718757.761223958333330.06190082769687480.0871875000000006
median7.77.727.830.1095858075718920.13
midrange7.97.9257.9350.03232099310758610.0350000000000001



Parameters (Session):
par1 = 750 ;
Parameters (R input):
par1 = 750 ;
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')