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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 17 Oct 2008 09:20:47 -0600
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/Oct/17/t1224256958dbgv0uardv9f8wa.htm/, Retrieved Sat, 08 Nov 2025 09:19:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16495, Retrieved Sat, 08 Nov 2025 09:19:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact419

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Q7 95% confidence...] [2007-10-20 15:02:46] [b731da8b544846036771bbf9bf2f34ce]
F    D  [Harrell-Davis Quantiles] [Q7 - the 95% Conf...] [2008-10-15 18:00:32] [a57f5cc542637534b8bb5bcb4d37eab1]
F   PD      [Harrell-Davis Quantiles] [Task 2a - Compari...] [2008-10-17 15:20:47] [0f30549460cf4ec26d9cf94b1fcf7789] [Current]
Feedback Forum
2008-10-25 13:14:36 [Astrid Sniekers] [reply] 
Vraag 1 taak 2:
Het antwoord van de student is correct.
De student had nog kunnen zeggen dat de totale productie van oktober 2007 net buiten het betrouwbaarheidsinterval van 95% ligt en dat de totale productie van maart 2007, juni 2007 en april 2008 binnen het betrouwbaarheidsinterval van 95% ligt. Er bestaat bijgevolg maar 5% kans dat de totale productie buiten het betrouwbaarheidsinterval ligt. Deze kans is dus heel klein, maar deed zich toch voor in oktober 2007.

Vraag 2 taak 2:
Dit had de student kunnen oplossen aan de hand van de Harrell-Davis-techniek.
http://www.freestatistics.org/blog/date/2008/Oct/25/t1224924453424uuv5vh70oe0i.htm
Bij 1/1000% is er nog geen 122,4. De kans is bijgevolg heel klein. We gaan er niet geraken.
We kunnen ook zien dat de waarschijnlijkheid niet voorkomt aangezien het hoogste cijfer in onze datareeks 122.4 bedraagt (2007/10) en er zich geen getal hoger dan 122.4 bevindt. We kunnen besluiten dat als de totale productie groter is dan 122,4 dit een zeer zeldzame waarde/verschijning is.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100.7
109.9
114.6
85.4
100.5
114.8
116.5
112.9
102
106
105.3
118.8
106.1
109.3
117.2
92.5
104.2
112.5
122.4
113.3
100
110.7
112.8
109.8
117.3
109.1
115.9
95.7

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16495&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16495&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16495&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.02587.45807732472065.98492752778309
0.975121.4077143979642.92247528221839

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.025 & 87.4580773247206 & 5.98492752778309 \tabularnewline
0.975 & 121.407714397964 & 2.92247528221839 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16495&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.025[/C][C]87.4580773247206[/C][C]5.98492752778309[/C][/ROW]
[ROW][C]0.975[/C][C]121.407714397964[/C][C]2.92247528221839[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16495&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16495&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
0.02587.45807732472065.98492752778309
0.975121.4077143979642.92247528221839


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.025 ; par2 = 0.975 ; par3 = 0.95 ;
Parameters (R input):
par1 = 0.025 ; par2 = 0.975 ; par3 = 0.95 ;
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')