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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 computationTue, 11 May 2010 08:45:25 +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/May/11/t127356764177su98aadpmxk7i.htm/, Retrieved Mon, 29 Apr 2024 03:33:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=75804, Retrieved Mon, 29 Apr 2024 03:33:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W32
Estimated Impact208

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] [IKO - opgave 7 - ...] [2010-05-11 08:45:25] [2156736b6f7843cba1ea73b621b47743] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5221,3
5115,9
5107,4
5202,1
5307,5
5266,1
5329,8
5263,4
5177,1
5204,9
5185,2
5189,8
5253,8
5372,3
5478,4
5590,5
5699,8
5797,9
5854,3
5902,4
5956,9
6007,8
6101,7
6148,6
6207,4
6232
6291,7
6323,4
6365
6435
6493,4
6606,8
6639,1
6723,5
6759,4
6848,6
6918,1
6963,5
7013,1
7030,9
7112,1
7130,3
7130,8
7076,9
7040,8
7086,5
7120,7
7154,1
7228,2
7297,9
7369,5
7450,7
7459,7
7497,5
7536
7637,4
7715,1
7815,7
7859,5
7951,6
7973,7
7988
8053,1
8112
8169,2
8303,1
8372,7
8470,6
8536,1
8665,8
8773,7
8838,4
8936,2
8995,3
9098,9
9237,1
9315,5
9392,6
9502,2
9671,1
9695,6
9847,9
9836,6
9887,7
9875,6
9905,9
9871,1
9910
9977,3
10031,6
10090,7
10095,8
10126
10212,7
10398,7
10467
10543,6
10634,2
10728,7
10796,4
10875,8
10946,1
11050
11086,1
11217,3
11291,7
11314,1
11356,4
11357,8
11491,4
11625,7
11620,7
11646
11700,6

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75804&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75804&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75804&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Estimation Results of Blocked Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean7565.116885964918080.481578947378377.54385964912533.777538505738812.42697368421
median7119.68757765.48154.9867.9042707515481035.21250000000
midrange8402.0584048404197.8361206057341.94999999999891

\begin{tabular}{lllllllll}
\hline
Estimation Results of Blocked Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 7565.11688596491 & 8080.48157894737 & 8377.54385964912 & 533.777538505738 & 812.42697368421 \tabularnewline
median & 7119.6875 & 7765.4 & 8154.9 & 867.904270751548 & 1035.21250000000 \tabularnewline
midrange & 8402.05 & 8404 & 8404 & 197.836120605734 & 1.94999999999891 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=75804&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]7565.11688596491[/C][C]8080.48157894737[/C][C]8377.54385964912[/C][C]533.777538505738[/C][C]812.42697368421[/C][/ROW]
[ROW][C]median[/C][C]7119.6875[/C][C]7765.4[/C][C]8154.9[/C][C]867.904270751548[/C][C]1035.21250000000[/C][/ROW]
[ROW][C]midrange[/C][C]8402.05[/C][C]8404[/C][C]8404[/C][C]197.836120605734[/C][C]1.94999999999891[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=75804&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=75804&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
mean7565.116885964918080.481578947378377.54385964912533.777538505738812.42697368421
median7119.68757765.48154.9867.9042707515481035.21250000000
midrange8402.0584048404197.8361206057341.94999999999891


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')