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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 29 Jul 2017 19:52:48 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Jul/29/t1501351485znq727sn10icmtd.htm/, Retrieved Tue, 14 May 2024 14:58:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=306801, Retrieved Tue, 14 May 2024 14:58:14 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact143
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2017-07-29 17:52:48] [1a8cec710a8245ea2c14b5d40c333c7c] [Current]
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Dataseries X:
247832,00
246909,00
245973,00
244036,00
263198,00
262184,00
247832,00
238290,00
239213,00
239213,00
240240,00
242086,00
244959,00
244959,00
243113,00
238290,00
263198,00
266994,00
261261,00
247832,00
253578,00
244959,00
248846,00
250705,00
252642,00
247832,00
248846,00
242086,00
263198,00
269867,00
264134,00
253578,00
265057,00
252642,00
264134,00
263198,00
266071,00
255515,00
266994,00
266071,00
283296,00
279409,00
264134,00
256438,00
266994,00
252642,00
263198,00
265057,00
268944,00
260338,00
265057,00
267930,00
278486,00
269867,00
258388,00
245973,00
257465,00
225875,00
241163,00
249769,00
258388,00
245973,00
245973,00
245973,00
252642,00
243113,00
230607,00
220142,00
227734,00
198094,00
216255,00
226811,00
228748,00
218192,00
219115,00
216255,00
225875,00
219115,00
205790,00
196157,00
212446,00
177073,00
200044,00
210509,00
210509,00
198094,00
186615,00
185692,00
196157,00
186615,00
168467,00
155961,00
169390,00
137813,00
166517,00
181792,00
186615,00
176059,00
162721,00
172263,00
176059,00
173186,00
144469,00
131144,00
140673,00
111969,00
141609,00
152165,00
160771,00
146419,00
132990,00
140673,00
144469,00
136877,00
108173,00
95667,00
107146,00
75569,00
110019,00
131144,00




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time3 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=306801&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]3 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=306801&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=306801&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R ServerBig Analytics Cloud Computing Center







Harrell-Davis Quantiles
quantilesvaluestandard error
0.11401116179.56
0.21698349289.44
0.319655211055.7
0.42212948726.78
0.52390415326.95
0.62461741882.46
0.72519042948.24
0.82607582833.43
0.92657161112.23

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 140111 & 6179.56 \tabularnewline
0.2 & 169834 & 9289.44 \tabularnewline
0.3 & 196552 & 11055.7 \tabularnewline
0.4 & 221294 & 8726.78 \tabularnewline
0.5 & 239041 & 5326.95 \tabularnewline
0.6 & 246174 & 1882.46 \tabularnewline
0.7 & 251904 & 2948.24 \tabularnewline
0.8 & 260758 & 2833.43 \tabularnewline
0.9 & 265716 & 1112.23 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=306801&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.1[/C][C]140111[/C][C]6179.56[/C][/ROW]
[ROW][C]0.2[/C][C]169834[/C][C]9289.44[/C][/ROW]
[ROW][C]0.3[/C][C]196552[/C][C]11055.7[/C][/ROW]
[ROW][C]0.4[/C][C]221294[/C][C]8726.78[/C][/ROW]
[ROW][C]0.5[/C][C]239041[/C][C]5326.95[/C][/ROW]
[ROW][C]0.6[/C][C]246174[/C][C]1882.46[/C][/ROW]
[ROW][C]0.7[/C][C]251904[/C][C]2948.24[/C][/ROW]
[ROW][C]0.8[/C][C]260758[/C][C]2833.43[/C][/ROW]
[ROW][C]0.9[/C][C]265716[/C][C]1112.23[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=306801&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=306801&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.11401116179.56
0.21698349289.44
0.319655211055.7
0.42212948726.78
0.52390415326.95
0.62461741882.46
0.72519042948.24
0.82607582833.43
0.92657161112.23



Parameters (Session):
Parameters (R input):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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,signif(as.matrix(hd[i])[1,1],6))
a<-table.element(a,signif(as.matrix(attr(hd,'se')[i])[1,1],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')