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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 04 Aug 2017 19:24:52 +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/Aug/04/t1501867508g54sx8lrzy3o5bi.htm/, Retrieved Sun, 12 May 2024 03:23:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=306918, Retrieved Sun, 12 May 2024 03:23:28 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2017-08-04 17:24:52] [bb1ebaef39f3ee233240b5c77a617fca] [Current]
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Dataseries X:
1755000,00
1690000,00
1787500,00
1430000,00
1852500,00
1820000,00
1950000,00
2015000,00
2242500,00
1950000,00
1852500,00
2307500,00
1950000,00
1462500,00
1722500,00
1300000,00
1820000,00
1495000,00
1982500,00
1787500,00
1885000,00
2112500,00
2080000,00
2470000,00
1787500,00
1495000,00
1657500,00
1202500,00
1722500,00
1332500,00
1885000,00
1787500,00
1592500,00
2275000,00
2047500,00
2340000,00
1755000,00
1625000,00
1462500,00
1202500,00
1592500,00
1430000,00
1950000,00
1885000,00
1625000,00
2177500,00
2015000,00
2600000,00
2080000,00
1267500,00
1267500,00
1267500,00
1495000,00
1495000,00
2015000,00
1852500,00
1657500,00
2080000,00
1917500,00
2762500,00
2177500,00
1267500,00
1332500,00
1105000,00
1527500,00
1755000,00
2210000,00
2177500,00
1755000,00
2047500,00
1820000,00
2600000,00
1982500,00
1592500,00
1430000,00
1072500,00
1592500,00
1917500,00
2242500,00
2112500,00
1560000,00
2242500,00
1755000,00
2697500,00
2242500,00
1625000,00
1495000,00
1007500,00
1592500,00
1527500,00
2307500,00
2307500,00
1755000,00
2275000,00
1690000,00
2632500,00
2242500,00
1657500,00
1267500,00
877500,00
1722500,00
1657500,00
2177500,00
2502500,00
1852500,00
2080000,00
1560000,00
2697500,00




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=306918&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=306918&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=306918&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
0.1130551055732.9
0.2149534042872.4
0.3160725041931.5
0.4171146044748
0.5180022040908.6
0.6190413051678.8
0.7202910054764.9
0.8217561055093.8
0.9233265071674.8

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 1305510 & 55732.9 \tabularnewline
0.2 & 1495340 & 42872.4 \tabularnewline
0.3 & 1607250 & 41931.5 \tabularnewline
0.4 & 1711460 & 44748 \tabularnewline
0.5 & 1800220 & 40908.6 \tabularnewline
0.6 & 1904130 & 51678.8 \tabularnewline
0.7 & 2029100 & 54764.9 \tabularnewline
0.8 & 2175610 & 55093.8 \tabularnewline
0.9 & 2332650 & 71674.8 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=306918&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]1305510[/C][C]55732.9[/C][/ROW]
[ROW][C]0.2[/C][C]1495340[/C][C]42872.4[/C][/ROW]
[ROW][C]0.3[/C][C]1607250[/C][C]41931.5[/C][/ROW]
[ROW][C]0.4[/C][C]1711460[/C][C]44748[/C][/ROW]
[ROW][C]0.5[/C][C]1800220[/C][C]40908.6[/C][/ROW]
[ROW][C]0.6[/C][C]1904130[/C][C]51678.8[/C][/ROW]
[ROW][C]0.7[/C][C]2029100[/C][C]54764.9[/C][/ROW]
[ROW][C]0.8[/C][C]2175610[/C][C]55093.8[/C][/ROW]
[ROW][C]0.9[/C][C]2332650[/C][C]71674.8[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=306918&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=306918&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
0.1130551055732.9
0.2149534042872.4
0.3160725041931.5
0.4171146044748
0.5180022040908.6
0.6190413051678.8
0.7202910054764.9
0.8217561055093.8
0.9233265071674.8



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')