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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 19 Oct 2007 06:57:17 -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/2007/Oct/19/cx2782qti5qtx5e1192802027.htm/, Retrieved Wed, 08 May 2024 13:20:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1020, Retrieved Wed, 08 May 2024 13:20:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ5: Show that the 95% confidence interval of the prediction error of the model in Question 3 (assuming that the model would be valid) is equal to [-0.156036650732365, 0.180290511044764].
Estimated Impact216

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Q5 Workshop 2b] [2007-10-19 13:57:17] [dffb4ee60db878ec13fafd952698fec9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
109,20
88,60
94,30
98,30
86,40
80,60
104,10
108,20
93,40
71,90
94,10
94,90
96,40
91,10
84,40
86,40
88,00
75,10
109,70
103,00
82,10
68,00
96,40
94,30
90,00
88,00
76,10
82,50
81,40
66,50
97,20
94,10
80,70
70,50
87,80
89,50
99,60
84,20
75,10
92,00
80,80
73,10
99,80
90,00
83,10
72,40
78,80
87,30
91,00
80,10
73,60
86,40
74,50
71,20
92,40
81,50
85,30
69,90
84,20
90,70
100,30

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1020&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]1 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=1020&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1020&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0166.93552886464051.50511131042239
0.0670.38872235001741.31575761513653
0.1172.59817503509491.44826178181682
0.1674.74472999439272.05984925490576
0.2177.28390767866032.56568833999510
0.2679.69653030221722.11444854425374
0.3181.48578678140711.64332585943454
0.3682.99094157370961.69967575099472
0.4184.5093959633421.77327081904245
0.4685.99395203514081.68549250903118
0.5187.37696330829751.57220071469155
0.5688.70511327533851.55014908485959
0.6190.05489991274721.57676934616907
0.6691.47275198710961.62458617851067
0.7192.9390938270361.56589672406022
0.7694.41566821443721.49251938093099
0.8196.1407734522571.75730465039923
0.8698.42876858585792.04037373562957
0.91101.8103874647642.6930702561356
0.96107.1686316139792.78944884233111

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 66.9355288646405 & 1.50511131042239 \tabularnewline
0.06 & 70.3887223500174 & 1.31575761513653 \tabularnewline
0.11 & 72.5981750350949 & 1.44826178181682 \tabularnewline
0.16 & 74.7447299943927 & 2.05984925490576 \tabularnewline
0.21 & 77.2839076786603 & 2.56568833999510 \tabularnewline
0.26 & 79.6965303022172 & 2.11444854425374 \tabularnewline
0.31 & 81.4857867814071 & 1.64332585943454 \tabularnewline
0.36 & 82.9909415737096 & 1.69967575099472 \tabularnewline
0.41 & 84.509395963342 & 1.77327081904245 \tabularnewline
0.46 & 85.9939520351408 & 1.68549250903118 \tabularnewline
0.51 & 87.3769633082975 & 1.57220071469155 \tabularnewline
0.56 & 88.7051132753385 & 1.55014908485959 \tabularnewline
0.61 & 90.0548999127472 & 1.57676934616907 \tabularnewline
0.66 & 91.4727519871096 & 1.62458617851067 \tabularnewline
0.71 & 92.939093827036 & 1.56589672406022 \tabularnewline
0.76 & 94.4156682144372 & 1.49251938093099 \tabularnewline
0.81 & 96.140773452257 & 1.75730465039923 \tabularnewline
0.86 & 98.4287685858579 & 2.04037373562957 \tabularnewline
0.91 & 101.810387464764 & 2.6930702561356 \tabularnewline
0.96 & 107.168631613979 & 2.78944884233111 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1020&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]66.9355288646405[/C][C]1.50511131042239[/C][/ROW]
[ROW][C]0.06[/C][C]70.3887223500174[/C][C]1.31575761513653[/C][/ROW]
[ROW][C]0.11[/C][C]72.5981750350949[/C][C]1.44826178181682[/C][/ROW]
[ROW][C]0.16[/C][C]74.7447299943927[/C][C]2.05984925490576[/C][/ROW]
[ROW][C]0.21[/C][C]77.2839076786603[/C][C]2.56568833999510[/C][/ROW]
[ROW][C]0.26[/C][C]79.6965303022172[/C][C]2.11444854425374[/C][/ROW]
[ROW][C]0.31[/C][C]81.4857867814071[/C][C]1.64332585943454[/C][/ROW]
[ROW][C]0.36[/C][C]82.9909415737096[/C][C]1.69967575099472[/C][/ROW]
[ROW][C]0.41[/C][C]84.509395963342[/C][C]1.77327081904245[/C][/ROW]
[ROW][C]0.46[/C][C]85.9939520351408[/C][C]1.68549250903118[/C][/ROW]
[ROW][C]0.51[/C][C]87.3769633082975[/C][C]1.57220071469155[/C][/ROW]
[ROW][C]0.56[/C][C]88.7051132753385[/C][C]1.55014908485959[/C][/ROW]
[ROW][C]0.61[/C][C]90.0548999127472[/C][C]1.57676934616907[/C][/ROW]
[ROW][C]0.66[/C][C]91.4727519871096[/C][C]1.62458617851067[/C][/ROW]
[ROW][C]0.71[/C][C]92.939093827036[/C][C]1.56589672406022[/C][/ROW]
[ROW][C]0.76[/C][C]94.4156682144372[/C][C]1.49251938093099[/C][/ROW]
[ROW][C]0.81[/C][C]96.140773452257[/C][C]1.75730465039923[/C][/ROW]
[ROW][C]0.86[/C][C]98.4287685858579[/C][C]2.04037373562957[/C][/ROW]
[ROW][C]0.91[/C][C]101.810387464764[/C][C]2.6930702561356[/C][/ROW]
[ROW][C]0.96[/C][C]107.168631613979[/C][C]2.78944884233111[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1020&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1020&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:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0166.93552886464051.50511131042239
0.0670.38872235001741.31575761513653
0.1172.59817503509491.44826178181682
0.1674.74472999439272.05984925490576
0.2177.28390767866032.56568833999510
0.2679.69653030221722.11444854425374
0.3181.48578678140711.64332585943454
0.3682.99094157370961.69967575099472
0.4184.5093959633421.77327081904245
0.4685.99395203514081.68549250903118
0.5187.37696330829751.57220071469155
0.5688.70511327533851.55014908485959
0.6190.05489991274721.57676934616907
0.6691.47275198710961.62458617851067
0.7192.9390938270361.56589672406022
0.7694.41566821443721.49251938093099
0.8196.1407734522571.75730465039923
0.8698.42876858585792.04037373562957
0.91101.8103874647642.6930702561356
0.96107.1686316139792.78944884233111


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.05 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.05 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')