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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 computationMon, 07 Jan 2008 03:26:26 -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/2008/Jan/07/t1199701558w9l4qhatxnfi326.htm/, Retrieved Tue, 26 Sep 2023 00:33:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7916, Retrieved Tue, 26 Sep 2023 00:33:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsmean, median, boxplot, coffee, colombia
Estimated Impact1073

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] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- R  D      [Blocked Bootstrap Plot - Central Tendency] [Blocked Bootstrap...] [2008-12-17 18:55:16] [7458e879e85b911182071700fff19fbd]
-    D        [Blocked Bootstrap Plot - Central Tendency] [Blocked Bootstrap...] [2008-12-18 16:05:10] [7458e879e85b911182071700fff19fbd]
F    D        [Blocked Bootstrap Plot - Central Tendency] [Bootstrap Simulat...] [2008-12-18 16:26:44] [74be16979710d4c4e7c6647856088456]
-    D          [Blocked Bootstrap Plot - Central Tendency] [Bootstrap Bel-20 ...] [2008-12-21 13:33:26] [513002e53792b228fd07c821aaa4d786]
-  M D        [Blocked Bootstrap Plot - Central Tendency] [Box Notch Plot va...] [2009-12-26 21:27:25] [bfd0a85b30d211d7fa5c129592d7c31d]
-  M D        [Blocked Bootstrap Plot - Central Tendency] [Box Notch Plot va...] [2009-12-26 21:29:36] [bfd0a85b30d211d7fa5c129592d7c31d]
- RMPD        [Variance Reduction Matrix] [VRM Matrix van de...] [2009-12-26 21:34:50] [bfd0a85b30d211d7fa5c129592d7c31d]
- RMPD        [Variance Reduction Matrix] [VRM Matrix van de...] [2009-12-26 21:34:50] [bfd0a85b30d211d7fa5c129592d7c31d]
-    D          [Variance Reduction Matrix] [VRM Matrix van de...] [2009-12-26 21:58:56] [bfd0a85b30d211d7fa5c129592d7c31d]
-    D      [Blocked Bootstrap Plot - Central Tendency] [Notched Plot - Ma...] [2008-12-21 15:20:06] [33f4701c7363e8b81858dafbf0350eed]
-    D        [Blocked Bootstrap Plot - Central Tendency] [Notched Plots - T...] [2008-12-22 13:27:57] [33f4701c7363e8b81858dafbf0350eed]
-    D          [Blocked Bootstrap Plot - Central Tendency] [Notched Plots - T...] [2008-12-22 20:17:54] [b187fac1a1b0cb3920f54366df47fea3]
-               [Blocked Bootstrap Plot - Central Tendency] [notched plots - t...] [2008-12-22 20:33:31] [b641c14ac36cb6fee377f3b099dcac19]
-    D        [Blocked Bootstrap Plot - Central Tendency] [Notched Plot - Ma...] [2008-12-22 20:09:30] [b187fac1a1b0cb3920f54366df47fea3]
-    D        [Blocked Bootstrap Plot - Central Tendency] [notched plot - ma...] [2008-12-22 20:20:16] [b641c14ac36cb6fee377f3b099dcac19]
-  M D      [Blocked Bootstrap Plot - Central Tendency] [WS6: Toturial ass...] [2010-11-05 09:57:04] [1fd136673b2a4fecb5c545b9b4a05d64]
F             [Blocked Bootstrap Plot - Central Tendency] [Bootstrap Coffee ...] [2010-11-10 19:51:37] [95e8426e0df851c9330605aa1e892ab5]
-   P         [Blocked Bootstrap Plot - Central Tendency] [ws6.1 tutorial (b...] [2010-11-15 08:03:54] [e4076051fbfb461c886b1e223cd7862f]
-  M          [Blocked Bootstrap Plot - Central Tendency] [] [2011-11-15 21:51:58] [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 - V...] [2010-11-12 11:38:34] [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] [aeb27d5c05332f2e597ad139ee63fbe4]
- RM D      [Blocked Bootstrap Plot - Central Tendency] [WS6 - Simple Line...] [2010-11-05 12:59:40] [74be16979710d4c4e7c6647856088456]
- RM D      [Blocked Bootstrap Plot - Central Tendency] [Yt skewed] [2010-11-05 16:46:07] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-   PD        [Blocked Bootstrap Plot - Central Tendency] [Vraag 2: tweede m...] [2010-11-11 09:29:12] [39c51da0be01189e8a44eb69e891b7a1]
-   PD        [Blocked Bootstrap Plot - Central Tendency] [Vraag 2: tweede m...] [2010-11-11 09:32:57] [39c51da0be01189e8a44eb69e891b7a1]
-   P           [Blocked Bootstrap Plot - Central Tendency] [assignment 2 - 1 (2)] [2010-11-16 09:26:04] [717f3d787904f94c39256c5c1fc72d4c]
-   P           [Blocked Bootstrap Plot - Central Tendency] [assignment 2 - 1 (2)] [2010-11-16 09:26:04] [717f3d787904f94c39256c5c1fc72d4c]
- R PD        [Blocked Bootstrap Plot - Central Tendency] [] [2010-11-16 16:58:15] [8ef75e99f9f5061c72c54640f2f1c3e7]
F    D        [Blocked Bootstrap Plot - Central Tendency] [ws6] [2010-11-17 08:59:32] [f9eaed74daea918f73b9f505c5b1f19e]
- RMPD        [Bootstrap Plot - Central Tendency] [] [2011-11-13 11:55:28] [06c08141d7d783218a8164fd2ea166f2]
- RMPD        [Mean Plot] [] [2011-11-13 12:04:44] [06c08141d7d783218a8164fd2ea166f2]
- RM          [Blocked Bootstrap Plot - Central Tendency] [WS 6 - 8] [2011-11-15 14:38:05] [74be16979710d4c4e7c6647856088456]
F  M D      [Blocked Bootstrap Plot - Central Tendency] [WS6 - Assignment ...] [2010-11-06 11:01:41] [8ef49741e164ec6343c90c7935194465]
-   P         [Blocked Bootstrap Plot - Central Tendency] [WS6 assignment 2 ...] [2010-11-16 20:12:34] [8214fe6d084e5ad7598b249a26cc9f06]
-  M D      [Blocked Bootstrap Plot - Central Tendency] [] [2010-11-06 12:46:42] [39e83c7b0ac936e906a817a1bb402750]
- RM D      [Blocked Bootstrap Plot - Central Tendency] [Bootstrap Car Sales] [2010-11-06 16:12:15] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
-    D        [Blocked Bootstrap Plot - Central Tendency] [Blocked bootstrap...] [2010-11-06 16:42:34] [97ad38b1c3b35a5feca8b85f7bc7b3ff]
- R  D          [Blocked Bootstrap Plot - Central Tendency] [] [2011-11-15 16:54:29] [06c08141d7d783218a8164fd2ea166f2]
- R P           [Blocked Bootstrap Plot - Central Tendency] [] [2011-11-15 21:33:36] [ec2187f7727da5d5d939740b21b8b68a]
- RMPD        [Bootstrap Plot - Central Tendency] [] [2011-11-15 15:43:36] [06c08141d7d783218a8164fd2ea166f2]
- R           [Blocked Bootstrap Plot - Central Tendency] [] [2011-11-15 20:51:52] [9401a40688cf36283be626153bc5a38b]
- R P         [Blocked Bootstrap Plot - Central Tendency] [] [2011-11-15 21:02:28] [ec2187f7727da5d5d939740b21b8b68a]
- R           [Blocked Bootstrap Plot - Central Tendency] [Paper - Blocked b...] [2011-12-19 14:23:02] [69d59b79aaf660457acc70a0ef0bfdab]
-  M D      [Blocked Bootstrap Plot - Central Tendency] [Arabica Price in ...] [2010-11-07 12:41:34] [2960375a246cc0628590c95c4038a43c]
-  M D      [Blocked Bootstrap Plot - Central Tendency] [Workshop 6 Boxplo...] [2010-11-07 12:50:07] [247f085ab5b7724f755ad01dc754a3e8]
-    D        [Blocked Bootstrap Plot - Central Tendency] [Boxplots] [2010-11-15 18:00:07] [247f085ab5b7724f755ad01dc754a3e8]

[Truncated]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
87.28
87.28
87.09
86.92
87.59
90.72
90.69
90.3
89.55
88.94
88.41
87.82
87.07
86.82
86.4
86.02
85.66
85.32
85
84.67
83.94
82.83
81.95
81.19
80.48
78.86
69.47
68.77
70.06
73.95
75.8
77.79
81.57
83.07
84.34
85.1
85.25
84.26
83.63
86.44
85.3
84.1
83.36
82.48
81.58
80.47
79.34
82.13
81.69
80.7
79.88
79.16
78.38
77.42
76.47
75.46
74.48
78.27
80.7
79.91
78.75
77.78
81.14
81.08
80.03
78.91
78.01
76.9
75.97
81.93
80.27
78.67
77.42
76.16
74.7
76.39
76.04
74.65
73.29
71.79
74.39
74.91
74.54
73.08
72.75
71.32
70.38
70.35
70.01
69.36
67.77
69.26
69.8
68.38
67.62
68.39
66.95
65.21
66.64
63.45
60.66
62.34
60.32
58.64
60.46
58.59
61.87
61.85
67.44
77.06
91.74
93.15
94.15
93.11
91.51
89.96
88.16
86.98
88.03
86.24
84.65
83.23
81.7
80.25
78.8
77.51
76.2
75.04
74
75.49
77.14
76.15
76.27
78.19
76.49
77.31
76.65
74.99
73.51
72.07
70.59
71.96
76.29
74.86
74.93
71.9
71.01
77.47
75.78
76.6
76.07
74.57
73.02
72.65
73.16
71.53
69.78
67.98
69.96
72.16
70.47
68.86
67.37
65.87
72.16
71.34
69.93
68.44
67.16
66.01
67.25
70.91
69.75
68.59
67.48
66.31
64.81
66.58
65.97
64.7
64.7
60.94
59.08
58.42
57.77
57.11
53.31
49.96
49.4
48.84
48.3
47.74
47.24
46.76
46.29
48.9
49.23
48.53
48.03
54.34
53.79
53.24
52.96
52.17
51.7
58.55
78.2
77.03
76.19
77.15
75.87
95.47
109.67
112.28
112.01
107.93
105.96
105.06
102.98
102.2
105.23
101.85
99.89
96.23
94.76
91.51
91.63
91.54
85.23
87.83
87.38
84.44
85.19
84.03
86.73
102.52
104.45
106.98
107.02
99.26
94.45
113.44
157.33
147.38
171.89
171.95
132.71
126.02
121.18
115.45
110.48
117.85
117.63
124.65
109.59
111.27
99.78
98.21
99.2
97.97
89.55
87.91
93.34
94.42
93.2
90.29
91.46
89.98
88.35
88.41
82.44
79.89
75.69
75.66
84.5
96.73
87.48
82.39
83.48
79.31
78.16
72.77
72.45
68.46
67.62
68.76
70.07
68.55
65.3
58.96
59.17
62.37
66.28
55.62
55.23
55.85
56.75
50.89
53.88
52.95
55.08
53.61
58.78
61.85
55.91
53.32
46.41
44.57
50
50
53.36
46.23
50.45
49.07
45.85
48.45
49.96
46.53
50.51
47.58
48.05
46.84
47.67
49.16
55.54
55.82
58.22
56.19
57.77
63.19
54.76
55.74
62.54
61.39
69.6
79.23
80
93.68
107.63
100.18
97.3
90.45
80.64
80.58
75.82
85.59
89.35
89.42
104.73
95.32
89.27
90.44
86.97
79.98
81.22
87.35
83.64
82.22
94.4
102.18

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 12 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7916&T=0

[TABLE]
[ROW][C]Summary of compuational 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]12 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=7916&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7916&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'George Udny Yule' @ 72.249.76.132






Estimation Results of Blocked Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean75.311506944444477.538166666666779.56693055555563.125069245717144.25542361111111
median75.67576.77578.412.655028992365362.735

\begin{tabular}{lllllllll}
\hline
Estimation Results of Blocked Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 75.3115069444444 & 77.5381666666667 & 79.5669305555556 & 3.12506924571714 & 4.25542361111111 \tabularnewline
median & 75.675 & 76.775 & 78.41 & 2.65502899236536 & 2.735 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7916&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]75.3115069444444[/C][C]77.5381666666667[/C][C]79.5669305555556[/C][C]3.12506924571714[/C][C]4.25542361111111[/C][/ROW]
[ROW][C]median[/C][C]75.675[/C][C]76.775[/C][C]78.41[/C][C]2.65502899236536[/C][C]2.735[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7916&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7916&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
mean75.311506944444477.538166666666779.56693055555563.125069245717144.25542361111111
median75.67576.77578.412.655028992365362.735






95% Confidence Intervals
MeanMedian
Lower Bound77.061415941305276.417125796534
Upper Bound77.66505628091776.807874203466

\begin{tabular}{lllllllll}
\hline
95% Confidence Intervals \tabularnewline
 & Mean & Median \tabularnewline
Lower Bound & 77.0614159413052 & 76.417125796534 \tabularnewline
Upper Bound & 77.665056280917 & 76.807874203466 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7916&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]77.0614159413052[/C][C]76.417125796534[/C][/ROW]
[ROW][C]Upper Bound[/C][C]77.665056280917[/C][C]76.807874203466[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7916&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7916&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 Bound77.061415941305276.417125796534
Upper Bound77.66505628091776.807874203466


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')