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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 01 Mar 2016 17:04:58 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Mar/01/t1456851921v50mxdj2ikitk5p.htm/, Retrieved Tue, 07 May 2024 15:49:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293189, Retrieved Tue, 07 May 2024 15:49:36 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Maximumprijs Bios...] [2016-03-01 15:27:06] [74be16979710d4c4e7c6647856088456]
- RMPD  [Histogram] [Vers Fruit - Hist...] [2016-03-01 15:53:45] [b1a7cb6d93e9c32863cdeb6d14632a38]
- RMPD    [Harrell-Davis Quantiles] [Levengeborenen va...] [2016-03-01 16:46:24] [b1a7cb6d93e9c32863cdeb6d14632a38]
- R  D        [Harrell-Davis Quantiles] [Vers Fruit - Deci...] [2016-03-01 17:04:58] [9229f16b23a3f07f1433c1291c3e5666] [Current]
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Dataseries X:
82.6
85.99
86.85
86.12
97.19
89.8
90.27
90.68
90.05
90.28
91.52
88.3
85.31
87.86
87.77
88.44
88.73
94.4
94.09
90.32
89.68
94.15
95.2
91.82
90.33
95.14
96.06
97.21
100.33
98.79
102.48
99.29
98.83
97.25
94.55
93.53
93.58
95.79
94.77
94.2
96.23
92.3
88.86
86.44
86.21
88.57
90.69
89
86.88
90.65
90.68
89.64
102.62
101.84
92.51
94.29
94.68
96.94
94.03
89.65
84.9
89.07
89.8
93.22
92.23
98.41
96.63
89.8
90
92.13
93.27
90.81
85.42
88.28
88.73
90.18
92.74
96.13
94.85
94.25
96.94
101.22
98.71
95.51
93.91
98.17
97.59
99.64
107.88
108.49
100.25
99.27
101.73
101.25
97.09
94.74
94.53
93.48
96.05
106.22
98.33
99.86
93.78
88.96
83.77
89.46
86.78
88.4
87.19
92.23
95.99
104.75
105.63
108.71
96.4
93.31
93.77
98.7
95.04
95.61




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293189&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293189&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293189&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 time2 seconds
R Server'George Udny Yule' @ yule.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.187.21901087654510.667223683605566
0.289.04944623764680.45002704401279
0.390.20804825476710.443766515650616
0.491.92787827397160.92974046405929
0.593.69349476510890.52916027330879
0.694.75650580709420.485260560684927
0.796.17847821499330.621681780388316
0.898.05889606566720.753430640515203
0.9100.8494691893551.01799080234259
1108.71NA

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 87.2190108765451 & 0.667223683605566 \tabularnewline
0.2 & 89.0494462376468 & 0.45002704401279 \tabularnewline
0.3 & 90.2080482547671 & 0.443766515650616 \tabularnewline
0.4 & 91.9278782739716 & 0.92974046405929 \tabularnewline
0.5 & 93.6934947651089 & 0.52916027330879 \tabularnewline
0.6 & 94.7565058070942 & 0.485260560684927 \tabularnewline
0.7 & 96.1784782149933 & 0.621681780388316 \tabularnewline
0.8 & 98.0588960656672 & 0.753430640515203 \tabularnewline
0.9 & 100.849469189355 & 1.01799080234259 \tabularnewline
1 & 108.71 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293189&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]87.2190108765451[/C][C]0.667223683605566[/C][/ROW]
[ROW][C]0.2[/C][C]89.0494462376468[/C][C]0.45002704401279[/C][/ROW]
[ROW][C]0.3[/C][C]90.2080482547671[/C][C]0.443766515650616[/C][/ROW]
[ROW][C]0.4[/C][C]91.9278782739716[/C][C]0.92974046405929[/C][/ROW]
[ROW][C]0.5[/C][C]93.6934947651089[/C][C]0.52916027330879[/C][/ROW]
[ROW][C]0.6[/C][C]94.7565058070942[/C][C]0.485260560684927[/C][/ROW]
[ROW][C]0.7[/C][C]96.1784782149933[/C][C]0.621681780388316[/C][/ROW]
[ROW][C]0.8[/C][C]98.0588960656672[/C][C]0.753430640515203[/C][/ROW]
[ROW][C]0.9[/C][C]100.849469189355[/C][C]1.01799080234259[/C][/ROW]
[ROW][C]1[/C][C]108.71[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293189&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293189&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
0.187.21901087654510.667223683605566
0.289.04944623764680.45002704401279
0.390.20804825476710.443766515650616
0.491.92787827397160.92974046405929
0.593.69349476510890.52916027330879
0.694.75650580709420.485260560684927
0.796.17847821499330.621681780388316
0.898.05889606566720.753430640515203
0.9100.8494691893551.01799080234259
1108.71NA



Parameters (Session):
par1 = 0 ; par2 = no ; par3 = 512 ;
Parameters (R input):
par1 = 0.1 ; par2 = 1 ; par3 = 0.1 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '1'
par1 <- '0.1'
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')