FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_bootstrapplot1.wasp
Title produced by softwareBootstrap Plot - Central Tendency
Date of computationSat, 09 May 2009 04:36:24 -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/09/t1241865417cbiipyf4hj0rvrv.htm/, Retrieved Sun, 05 May 2024 17:44:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39682, Retrieved Sun, 05 May 2024 17:44:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Bootstrap Plot - Central Tendency] [bootstrap plot 50...] [2009-05-09 10:36:24] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- RMP     [Blocked Bootstrap Plot - Central Tendency] [Blocked bootstrap...] [2009-05-15 17:07:00] [74be16979710d4c4e7c6647856088456]
- RMP     [Blocked Bootstrap Plot - Central Tendency] [Blocked bootstrap...] [2009-05-15 17:09:01] [74be16979710d4c4e7c6647856088456]
- RMP     [Blocked Bootstrap Plot - Central Tendency] [Blocked bootstrap...] [2009-05-15 17:11:34] [74be16979710d4c4e7c6647856088456]
- RMPD    [Variability] [Spreidingsmaten -...] [2009-05-15 17:18:13] [74be16979710d4c4e7c6647856088456]
- RMPD    [Standard Deviation Plot] [Spreidingsgrafiek...] [2009-05-15 17:29:17] [74be16979710d4c4e7c6647856088456]
- RMPD    [Standard Deviation-Mean Plot] [Spreidingsgrafiek...] [2009-05-15 17:48:23] [74be16979710d4c4e7c6647856088456]
- RMP     [Standard Deviation-Mean Plot] [Standard deviatio...] [2009-05-15 18:10:29] [74be16979710d4c4e7c6647856088456]
- RMP     [Standard Deviation Plot] [Standard deviatio...] [2009-05-15 18:13:25] [74be16979710d4c4e7c6647856088456]
- RMP     [Variability] [Variability - Nie...] [2009-05-15 18:23:41] [74be16979710d4c4e7c6647856088456]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8166
2322
2924
5209
5597
5616
5764
5854
6019
6047
6082
6251
6576
6820
7024
7102
7107
7237
7630
7842
8086
8201
8323
9016
9077
9115
9230
9535
9565
9807
9815
9999
10176
10416
10439
10737
10790
11196
11221
11340
11356
11772
11836
11926
12013
12132
12178
12382
12448
12543
12662
12692
12767
13136
13145
13330
13381
13533
14176
14314
14444
15092
15130
15550
15557
15874
15892
16364
16379
16668
16713
16830
17368
17808
17846
18137
18504
18898
18938
19139
19573
19796
19845
21461

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 9 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39682&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]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39682&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39682&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 time9 seconds
R Server'George Udny Yule' @ 72.249.76.132






Estimation Results of Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean1142911795.2512269.8630952381563.905851221286840.863095238095
median11208.51180412112630.148832516929903.5
midrange11891.511891.512192.5694.93753030068301

\begin{tabular}{lllllllll}
\hline
Estimation Results of Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 11429 & 11795.25 & 12269.8630952381 & 563.905851221286 & 840.863095238095 \tabularnewline
median & 11208.5 & 11804 & 12112 & 630.148832516929 & 903.5 \tabularnewline
midrange & 11891.5 & 11891.5 & 12192.5 & 694.93753030068 & 301 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39682&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]11429[/C][C]11795.25[/C][C]12269.8630952381[/C][C]563.905851221286[/C][C]840.863095238095[/C][/ROW]
[ROW][C]median[/C][C]11208.5[/C][C]11804[/C][C]12112[/C][C]630.148832516929[/C][C]903.5[/C][/ROW]
[ROW][C]midrange[/C][C]11891.5[/C][C]11891.5[/C][C]12192.5[/C][C]694.93753030068[/C][C]301[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39682&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39682&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
mean1142911795.2512269.8630952381563.905851221286840.863095238095
median11208.51180412112630.148832516929903.5
midrange11891.511891.512192.5694.93753030068301


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 50 ;
Parameters (R input):
par1 = 50 ;
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')