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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 04 Dec 2009 08:36:25 -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/2009/Dec/04/t1259941068r8s0eakwykdgo45.htm/, Retrieved Sun, 28 Apr 2024 04:29:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=63780, Retrieved Sun, 28 Apr 2024 04:29:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-12 13:32:37] [76963dc1903f0f612b6153510a3818cf]
- R  D  [Univariate Explorative Data Analysis] [Run Sequence gebo...] [2008-12-17 12:14:40] [76963dc1903f0f612b6153510a3818cf]
-         [Univariate Explorative Data Analysis] [Run Sequence Plot...] [2008-12-22 18:19:51] [1ce0d16c8f4225c977b42c8fa93bc163]
- RMP       [Variance Reduction Matrix] [Identifying Integ...] [2009-11-22 12:29:54] [b98453cac15ba1066b407e146608df68]
- RMPD        [Spectral Analysis] [Spectrum d=D=0] [2009-11-30 12:01:40] [005293453b571dbccb80b45226e44173]
- RMPD            [Harrell-Davis Quantiles] [har davis... ] [2009-12-04 15:36:25] [244731fa3e7e6c85774b8c0902c58f85] [Current]
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Dataseries X:
Estimated ARIMA Residuals 
Value 
-0.00396671269256706 
0.111314976037103 
0.0682740086174928 
-0.227111870047336 
-0.0913453054264917 
0.142031609901945 
-0.0148431426417289 
0.0159001587559324 
0.0387654462009301 
-0.231666918382834 
0.118284321646778 
0.0769722354057693 
-0.03861152971703 
-0.00555263316920203 
-0.157784204284717 
-0.017944571417612 
-0.0152657456648827 
-0.0390854765658281 
-0.0914782243150564 
0.0580715093834441 
-0.0921932301655767 
-0.0516908644481382 
0.134595157528573 
0.0305495311701961 
0.0174618681293164 
0.0398046301832505 
-0.0311816474642415 
-0.0969684684902288 
-0.184800867379907 
0.0597654936100393 
-0.0210069897652283 
-0.0612718555927389 
0.173481988903269 
0.137720289923430 
0.134527367433644 
-0.0193480250967496 
0.0949563605309157 
-0.000704240402552093 
0.161442750558655 
-0.0904257098922774 
0.177090981495639 
0.043706007040313 
0.00365367371078285 
-0.0829872681780013 
0.0937601982702212 
-0.0531229737676275 
-0.328660767305424 
-0.0767819308385851 




Summary of computational 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 computational 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=63780&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]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=63780&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=63780&T=0

As an alternative you can also use a 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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135



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')