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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, 16 Dec 2009 12:46:02 -0700
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/Dec/16/t12609928102ocrt0atuwf5vk3.htm/, Retrieved Tue, 30 Apr 2024 20:06:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=68577, Retrieved Tue, 30 Apr 2024 20:06:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP2W32
Estimated Impact103

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] [] [2009-12-16 19:46:02] [46199ea7e385a69efb178ac615a86e3a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8 357
7 454
8 076
7 248
7 339
7 292
7 359
7 537
7 441
8 057
8 037
8 257
8 692
8 119
8 236
7 432
7 669
7 453
7 566
7 731
7 657
8 130
8 401
8 737
9 009
7 919
8 228
7 903
7 912
7 857
7 965
8 091
8 024
8 772
8 656
8 953
9 014
8 103
8 876
8 231
8 173
8 087
8 296
8 007
8 382
9 168
9 137
9 321
9 234
8 451
9 101
8 279
8 284
8 225
8 597
8 305
8 620
9 102
9 258
9 652
9 522
8 874
9 415
8 525
8 862
8 421
8 626
8 750
8 852
9 412
9 570
9 513
9 986
8 907
9 663
8 799
8 931
8 732
8 936
9 127
9 070
9 773
9 670
9 929
10 095
9 025
9 659
8 954
9 022
8 855
9 034
9 196
9 038
9 650
9 715
10 052
10 436
9 314
9 717
8 997
9 062
8 885
9 058
9 095
9 149
9 857
9 848
10 269
10 341
9 690
10 125
9 349
9 224
9 224
9 454
9 347
9 430
9 933
10 148
10 677
10 735
9 760
10 567
9 333
9 409
9 502
9 348
9 319
9 594
10 160
10 182
10 810
11 105
9 874
10 958
9 311
9 610
9 398
9 784
9 425
9 557
10 166
10 337
10 770
11 265
10 183
10 941
9 628
9 709
9 637
9 579
9 741
9 754
10 508
10 749
11 079
11 608
10 668
10 933
9 703
9 799
9 656
9 648
9 712
9 766
10 540
10 564
10 911
11 218
10 230
10 410
9 227
9 378
9 105
9 128

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'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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68577&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68577&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68577&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'Gwilym Jenkins' @ 72.249.127.135






Estimation Results of Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean9185.589212.851428571439264.6142857142961.786178177196579.034285714286
median92249227931469.863075996946390
midrange9267.8759428942893.5683341909287160.125

\begin{tabular}{lllllllll}
\hline
Estimation Results of Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 9185.58 & 9212.85142857143 & 9264.61428571429 & 61.7861781771965 & 79.034285714286 \tabularnewline
median & 9224 & 9227 & 9314 & 69.8630759969463 & 90 \tabularnewline
midrange & 9267.875 & 9428 & 9428 & 93.5683341909287 & 160.125 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68577&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]9185.58[/C][C]9212.85142857143[/C][C]9264.61428571429[/C][C]61.7861781771965[/C][C]79.034285714286[/C][/ROW]
[ROW][C]median[/C][C]9224[/C][C]9227[/C][C]9314[/C][C]69.8630759969463[/C][C]90[/C][/ROW]
[ROW][C]midrange[/C][C]9267.875[/C][C]9428[/C][C]9428[/C][C]93.5683341909287[/C][C]160.125[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68577&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68577&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
mean9185.589212.851428571439264.6142857142961.786178177196579.034285714286
median92249227931469.863075996946390
midrange9267.8759428942893.5683341909287160.125


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')