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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_bootstrapplot.wasp
Title produced by softwareBlocked Bootstrap Plot - Central Tendency
Date of computationFri, 17 Dec 2010 13:42:23 +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/Dec/17/t1292593239xyj2wn7m9uy9qf2.htm/, Retrieved Sat, 20 Apr 2024 02:31:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=111460, Retrieved Sat, 20 Apr 2024 02:31:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact178

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
- RMPD  [Blocked Bootstrap Plot - Central Tendency] [Colombia Coffee] [2008-01-07 10:26:26] [74be16979710d4c4e7c6647856088456]
-  M D    [Blocked Bootstrap Plot - Central Tendency] [Retailprijs - Boo...] [2010-11-05 10:20:00] [aeb27d5c05332f2e597ad139ee63fbe4]
-    D      [Blocked Bootstrap Plot - Central Tendency] [Bootstrap Sim - n...] [2010-11-12 11:40:14] [aeb27d5c05332f2e597ad139ee63fbe4]
-    D          [Blocked Bootstrap Plot - Central Tendency] [Bootstrap Simulat...] [2010-12-17 13:42:23] [18ef3d986e8801a4b28404e69e5bf56b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
211868
229527
229139
198563
195722
202196
205816
212588
214320
220375
204442
206903
214126
226899
223532
195309
186005
188906
191563
189226
186413
178037
166827
169362
174330
187069
186530
158114
151001
159612
161914
164182
169701
171297
166444
173476
182516
202388
202300
168053
167302
172608
178106
185686
194581
194596
197922
208795
230580
240636
240048
211457
211142
214771
212610
219313
219277
231805
229245
241114
248624
265845
256446
219452
217142
221678
227184
230354
235243
237217
233575
244460
243324
260307
241476
203666
200237
204045
209465
213586
216234
213188
208679
217859
227247
243477
232571
191531
186029
189733
190420
194163
198770
195198
193111
195411
202108
215706
206348
166972
166070
169292
175041
177876
181140
179566
175335
184128
189917
194690
179612
150605
150569
153745
155511
159044
163095
159585
158644
166618
176512
200765
182698
153730
156145
161570
165688
173666
180144

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=111460&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=111460&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111460&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Estimation Results of Blocked Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean193114.176356589197420.674418605200925.5620155046257.17166845527811.38565891472
median190294.251953092021968187.4603873661211901.75

\begin{tabular}{lllllllll}
\hline
Estimation Results of Blocked Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 193114.176356589 & 197420.674418605 & 200925.562015504 & 6257.1716684552 & 7811.38565891472 \tabularnewline
median & 190294.25 & 195309 & 202196 & 8187.46038736612 & 11901.75 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=111460&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]193114.176356589[/C][C]197420.674418605[/C][C]200925.562015504[/C][C]6257.1716684552[/C][C]7811.38565891472[/C][/ROW]
[ROW][C]median[/C][C]190294.25[/C][C]195309[/C][C]202196[/C][C]8187.46038736612[/C][C]11901.75[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=111460&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111460&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
mean193114.176356589197420.674418605200925.5620155046257.17166845527811.38565891472
median190294.251953092021968187.4603873661211901.75






95% Confidence Intervals
MeanMedian
Lower Bound196204.749757824194348.13987986
Upper Bound197310.940164657196047.86012014

\begin{tabular}{lllllllll}
\hline
95% Confidence Intervals \tabularnewline
 & Mean & Median \tabularnewline
Lower Bound & 196204.749757824 & 194348.13987986 \tabularnewline
Upper Bound & 197310.940164657 & 196047.86012014 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=111460&T=2

[TABLE]
[ROW][C]95% Confidence Intervals[/C][/ROW]
[ROW][C][/C][C]Mean[/C][C]Median[/C][/ROW]
[ROW][C]Lower Bound[/C][C]196204.749757824[/C][C]194348.13987986[/C][/ROW]
[ROW][C]Upper Bound[/C][C]197310.940164657[/C][C]196047.86012014[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=111460&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111460&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

95% Confidence Intervals
MeanMedian
Lower Bound196204.749757824194348.13987986
Upper Bound197310.940164657196047.86012014


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 500 ; par2 = 12 ;
Parameters (R input):
par1 = 500 ; 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)
c(s.mean, s.median)
}
(r <- tsboot(x, boot.stat, R=par1, l=12, sim='fixed'))
z <- data.frame(cbind(r$t[,1],r$t[,2]))
colnames(z) <- list('mean','median')
bitmap(file='plot7.png')
b <- boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency')
grid()
dev.off()
b
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.end(a)
table.save(a,file='mytable.tab')

a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'95% Confidence Intervals',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',1,TRUE)
a<-table.element(a,'Mean',1,TRUE)
a<-table.element(a,'Median',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Lower Bound',1,TRUE)
a<-table.element(a,b$conf[1,1])
a<-table.element(a,b$conf[1,2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Upper Bound',1,TRUE)
a<-table.element(a,b$conf[2,1])
a<-table.element(a,b$conf[2,2])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')