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*The author of this computation has been verified*
R Software Module: /rwasp_bootstrapplot.wasp (opens new window with default values)
Title produced by software: Blocked Bootstrap Plot - Central Tendency
Date of computation: Thu, 25 Nov 2010 16:51:18 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Nov/25/t1290703774hubvqpxib5chfif.htm/, Retrieved Thu, 25 Nov 2010 17:49:34 +0100
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/Nov/25/t1290703774hubvqpxib5chfif.htm/},
    year = {2010},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2010},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
58.951 59.634 58.389 57.702 56.593 55.998 57.363 58.022 57.598 57.842 58.875 59.103 58.484 58.636 61.342 63.470 64.281 63.721 62.657 62.549 61.882 62.325 61.907 63.136 63.982 65.800 67.596 68.654 67.548 67.398 66.999 66.284 65.561 67.694 69.976 72.908 75.128 75.522 75.242 75.179 75.572 78.340 80.107 82.972 81.638 80.018 80.631 79.211 79.999 77.789 76.205 75.352 74.393 72.771 70.682 69.991 67.525 67.779 66.864 67.971 67.071 66.980 57.144 56.648 53.706 47.108 43.292 48.489 52.642 53.249 50.722 49.805 49.303 49.985 49.512 51.282 50.734 50.365 46.191 44.617 42.012 41.027 39.478 36.824 34.761 31.295 28.951 25.872 17.297 10.739 9.087 8.658 8.731 8.358 6.518 5.021 3.440 2.523 1.725 1.210 777 498 312 179 92 106
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Estimation Results of Blocked Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean60.712674528301970.038801886792577.605247641509412.078304300167216.8925731132075
median58.25361.61265.7103755.851138039487567.457375


95% Confidence Intervals
MeanMedian
Lower Bound68.42104993182661.5869528011207
Upper Bound70.8113085587462.6450471988793
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Nov/25/t1290703774hubvqpxib5chfif/1f9fd1290703875.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Nov/25/t1290703774hubvqpxib5chfif/1f9fd1290703875.ps (open in new window)


 
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')
 




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Software written by Ed van Stee & Patrick Wessa


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