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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 23 Oct 2009 04:43:08 -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/2009/Oct/23/t12562948921slmxbxkyonc8q6.htm/, Retrieved Thu, 02 May 2024 03:39:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49881, Retrieved Thu, 02 May 2024 03:39:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD        [Harrell-Davis Quantiles] [harrel davis] [2009-10-23 10:43:08] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
87.28
87.28
87.09
86.92
87.59
90.72
90.69
90.3
89.55
88.94
88.41
87.82
87.07
86.82
86.4
86.02
85.66
85.32
85
84.67
83.94
82.83
81.95
81.19
80.48
78.86
69.47
68.77
70.06
73.95
75.8
77.79
81.57
83.07
84.34
85.1
85.25
84.26
83.63
86.44
85.3
84.1
83.36
82.48
81.58
80.47
79.34
82.13
81.69
80.7
79.88
79.16
78.38
77.42
76.47
75.46
74.48
78.27
80.7
79.91
78.75
77.78
81.14
81.08
80.03
78.91
78.01
76.9
75.97
81.93
80.27
78.67
77.42
76.16
74.7
76.39
76.04
74.65
73.29
71.79
74.39
74.91
74.54
73.08
72.75
71.32
70.38
70.35
70.01
69.36
67.77
69.26
69.8
68.38
67.62
68.39
66.95
65.21
66.64
63.45
60.66
62.34
60.32
58.64
60.46
58.59
61.87
61.85
67.44
77.06
91.74
93.15
94.15
93.11
91.51
89.96
88.16
86.98
88.03
86.24
84.65
83.23
81.7
80.25
78.8
77.51
76.2
75.04
74
75.49
77.14
76.15
76.27
78.19
76.49
77.31
76.65
74.99
73.51
72.07
70.59
71.96
76.29
74.86
74.93
71.9
71.01
77.47
75.78
76.6
76.07
74.57
73.02
72.65
73.16
71.53
69.78
67.98
69.96
72.16
70.47
68.86
67.37
65.87
72.16
71.34
69.93
68.44
67.16
66.01
67.25
70.91
69.75
68.59
67.48
66.31
64.81
66.58
65.97
64.7
64.7
60.94
59.08
58.42
57.77
57.11
53.31
49.96
49.4
48.84
48.3
47.74
47.24
46.76
46.29
48.9
49.23
48.53
48.03
54.34
53.79
53.24
52.96
52.17
51.7
58.55
78.2
77.03
76.19
77.15
75.87
95.47
109.67
112.28
112.01
107.93
105.96
105.06
102.98
102.2
105.23
101.85
99.89
96.23
94.76
91.51
91.63
91.54
85.23
87.83
87.38
84.44
85.19
84.03
86.73
102.52
104.45
106.98
107.02
99.26
94.45
113.44
157.33
147.38
171.89
171.95
132.71
126.02
121.18
115.45
110.48
117.85
117.63
124.65
109.59
111.27
99.78
98.21
99.2
97.97
89.55
87.91
93.34
94.42
93.2
90.29
91.46
89.98
88.35
88.41
82.44
79.89
75.69
75.66
84.5
96.73
87.48
82.39
83.48
79.31
78.16
72.77
72.45
68.46
67.62
68.76
70.07
68.55
65.3
58.96
59.17
62.37
66.28
55.62
55.23
55.85
56.75
50.89
53.88
52.95
55.08
53.61
58.78
61.85
55.91
53.32
46.41
44.57
50
50
53.36
46.23
50.45
49.07
45.85
48.45
49.96
46.53
50.51
47.58
48.05
46.84
47.67
49.16
55.54
55.82
58.22
56.19
57.77
63.19
54.76
55.74
62.54
61.39
69.6
79.23
80
93.68
107.63
100.18
97.3
90.45
80.64
80.58
75.82
85.59
89.35
89.42
104.73
95.32
89.27
90.44
86.97
79.98
81.22
87.35
83.64
82.22
94.4
102.18

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 3 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49881&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49881&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49881&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 time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
044.57NA
0.02547.28658948631820.546341372358286
0.0548.83108038790760.634934730496573
0.07550.64997651131711.27159636157667
0.153.11641837374951.34686007282616
0.12555.18175703225091.33526114349448
0.1557.25542550681341.56440783527619
0.17559.49337156955991.81885285863324
0.262.00618578063012.15067257399422
0.22564.56504417906661.99132137071581
0.2566.54495000859421.39430050424677
0.27567.88742216051651.04016061046058
0.368.95751167467360.945873820700632
0.32569.9645984602860.976870163090224
0.3571.05166814705851.13237018539505
0.37572.26654956563011.23936597244925
0.473.51299831519831.21705538494066
0.42574.63523720930481.01611315746269
0.4575.51127985581340.765059604169497
0.47576.19528615312850.656027125845838
0.576.87022788187850.739774387958771
0.52577.65965146664010.869484516384336
0.5578.56094557914520.95690888835946
0.57579.51438371173210.963638056287923
0.680.46058832228320.944991864412732
0.62581.44321988815121.01971894998476
0.6582.54206445642861.12451262215315
0.67583.70759552908551.10249722194178
0.784.82650966935291.02164927883100
0.72585.91747146600720.985244729277902
0.7586.94456964689250.85598507225203
0.77587.94074904658920.907693297263047
0.889.16769854210671.10448382014029
0.82590.6616359930371.26106525568625
0.8592.59741725938121.60956937364392
0.87595.274484827822.10713833741742
0.999.10414374610372.60372596915056
0.925103.7062931697872.52592332917429
0.95108.9683643302062.57171773853427
0.975119.5039686831685.54742147865435
1171.95NA

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0 & 44.57 & NA \tabularnewline
0.025 & 47.2865894863182 & 0.546341372358286 \tabularnewline
0.05 & 48.8310803879076 & 0.634934730496573 \tabularnewline
0.075 & 50.6499765113171 & 1.27159636157667 \tabularnewline
0.1 & 53.1164183737495 & 1.34686007282616 \tabularnewline
0.125 & 55.1817570322509 & 1.33526114349448 \tabularnewline
0.15 & 57.2554255068134 & 1.56440783527619 \tabularnewline
0.175 & 59.4933715695599 & 1.81885285863324 \tabularnewline
0.2 & 62.0061857806301 & 2.15067257399422 \tabularnewline
0.225 & 64.5650441790666 & 1.99132137071581 \tabularnewline
0.25 & 66.5449500085942 & 1.39430050424677 \tabularnewline
0.275 & 67.8874221605165 & 1.04016061046058 \tabularnewline
0.3 & 68.9575116746736 & 0.945873820700632 \tabularnewline
0.325 & 69.964598460286 & 0.976870163090224 \tabularnewline
0.35 & 71.0516681470585 & 1.13237018539505 \tabularnewline
0.375 & 72.2665495656301 & 1.23936597244925 \tabularnewline
0.4 & 73.5129983151983 & 1.21705538494066 \tabularnewline
0.425 & 74.6352372093048 & 1.01611315746269 \tabularnewline
0.45 & 75.5112798558134 & 0.765059604169497 \tabularnewline
0.475 & 76.1952861531285 & 0.656027125845838 \tabularnewline
0.5 & 76.8702278818785 & 0.739774387958771 \tabularnewline
0.525 & 77.6596514666401 & 0.869484516384336 \tabularnewline
0.55 & 78.5609455791452 & 0.95690888835946 \tabularnewline
0.575 & 79.5143837117321 & 0.963638056287923 \tabularnewline
0.6 & 80.4605883222832 & 0.944991864412732 \tabularnewline
0.625 & 81.4432198881512 & 1.01971894998476 \tabularnewline
0.65 & 82.5420644564286 & 1.12451262215315 \tabularnewline
0.675 & 83.7075955290855 & 1.10249722194178 \tabularnewline
0.7 & 84.8265096693529 & 1.02164927883100 \tabularnewline
0.725 & 85.9174714660072 & 0.985244729277902 \tabularnewline
0.75 & 86.9445696468925 & 0.85598507225203 \tabularnewline
0.775 & 87.9407490465892 & 0.907693297263047 \tabularnewline
0.8 & 89.1676985421067 & 1.10448382014029 \tabularnewline
0.825 & 90.661635993037 & 1.26106525568625 \tabularnewline
0.85 & 92.5974172593812 & 1.60956937364392 \tabularnewline
0.875 & 95.27448482782 & 2.10713833741742 \tabularnewline
0.9 & 99.1041437461037 & 2.60372596915056 \tabularnewline
0.925 & 103.706293169787 & 2.52592332917429 \tabularnewline
0.95 & 108.968364330206 & 2.57171773853427 \tabularnewline
0.975 & 119.503968683168 & 5.54742147865435 \tabularnewline
1 & 171.95 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49881&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[/C][C]44.57[/C][C]NA[/C][/ROW]
[ROW][C]0.025[/C][C]47.2865894863182[/C][C]0.546341372358286[/C][/ROW]
[ROW][C]0.05[/C][C]48.8310803879076[/C][C]0.634934730496573[/C][/ROW]
[ROW][C]0.075[/C][C]50.6499765113171[/C][C]1.27159636157667[/C][/ROW]
[ROW][C]0.1[/C][C]53.1164183737495[/C][C]1.34686007282616[/C][/ROW]
[ROW][C]0.125[/C][C]55.1817570322509[/C][C]1.33526114349448[/C][/ROW]
[ROW][C]0.15[/C][C]57.2554255068134[/C][C]1.56440783527619[/C][/ROW]
[ROW][C]0.175[/C][C]59.4933715695599[/C][C]1.81885285863324[/C][/ROW]
[ROW][C]0.2[/C][C]62.0061857806301[/C][C]2.15067257399422[/C][/ROW]
[ROW][C]0.225[/C][C]64.5650441790666[/C][C]1.99132137071581[/C][/ROW]
[ROW][C]0.25[/C][C]66.5449500085942[/C][C]1.39430050424677[/C][/ROW]
[ROW][C]0.275[/C][C]67.8874221605165[/C][C]1.04016061046058[/C][/ROW]
[ROW][C]0.3[/C][C]68.9575116746736[/C][C]0.945873820700632[/C][/ROW]
[ROW][C]0.325[/C][C]69.964598460286[/C][C]0.976870163090224[/C][/ROW]
[ROW][C]0.35[/C][C]71.0516681470585[/C][C]1.13237018539505[/C][/ROW]
[ROW][C]0.375[/C][C]72.2665495656301[/C][C]1.23936597244925[/C][/ROW]
[ROW][C]0.4[/C][C]73.5129983151983[/C][C]1.21705538494066[/C][/ROW]
[ROW][C]0.425[/C][C]74.6352372093048[/C][C]1.01611315746269[/C][/ROW]
[ROW][C]0.45[/C][C]75.5112798558134[/C][C]0.765059604169497[/C][/ROW]
[ROW][C]0.475[/C][C]76.1952861531285[/C][C]0.656027125845838[/C][/ROW]
[ROW][C]0.5[/C][C]76.8702278818785[/C][C]0.739774387958771[/C][/ROW]
[ROW][C]0.525[/C][C]77.6596514666401[/C][C]0.869484516384336[/C][/ROW]
[ROW][C]0.55[/C][C]78.5609455791452[/C][C]0.95690888835946[/C][/ROW]
[ROW][C]0.575[/C][C]79.5143837117321[/C][C]0.963638056287923[/C][/ROW]
[ROW][C]0.6[/C][C]80.4605883222832[/C][C]0.944991864412732[/C][/ROW]
[ROW][C]0.625[/C][C]81.4432198881512[/C][C]1.01971894998476[/C][/ROW]
[ROW][C]0.65[/C][C]82.5420644564286[/C][C]1.12451262215315[/C][/ROW]
[ROW][C]0.675[/C][C]83.7075955290855[/C][C]1.10249722194178[/C][/ROW]
[ROW][C]0.7[/C][C]84.8265096693529[/C][C]1.02164927883100[/C][/ROW]
[ROW][C]0.725[/C][C]85.9174714660072[/C][C]0.985244729277902[/C][/ROW]
[ROW][C]0.75[/C][C]86.9445696468925[/C][C]0.85598507225203[/C][/ROW]
[ROW][C]0.775[/C][C]87.9407490465892[/C][C]0.907693297263047[/C][/ROW]
[ROW][C]0.8[/C][C]89.1676985421067[/C][C]1.10448382014029[/C][/ROW]
[ROW][C]0.825[/C][C]90.661635993037[/C][C]1.26106525568625[/C][/ROW]
[ROW][C]0.85[/C][C]92.5974172593812[/C][C]1.60956937364392[/C][/ROW]
[ROW][C]0.875[/C][C]95.27448482782[/C][C]2.10713833741742[/C][/ROW]
[ROW][C]0.9[/C][C]99.1041437461037[/C][C]2.60372596915056[/C][/ROW]
[ROW][C]0.925[/C][C]103.706293169787[/C][C]2.52592332917429[/C][/ROW]
[ROW][C]0.95[/C][C]108.968364330206[/C][C]2.57171773853427[/C][/ROW]
[ROW][C]0.975[/C][C]119.503968683168[/C][C]5.54742147865435[/C][/ROW]
[ROW][C]1[/C][C]171.95[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49881&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49881&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
044.57NA
0.02547.28658948631820.546341372358286
0.0548.83108038790760.634934730496573
0.07550.64997651131711.27159636157667
0.153.11641837374951.34686007282616
0.12555.18175703225091.33526114349448
0.1557.25542550681341.56440783527619
0.17559.49337156955991.81885285863324
0.262.00618578063012.15067257399422
0.22564.56504417906661.99132137071581
0.2566.54495000859421.39430050424677
0.27567.88742216051651.04016061046058
0.368.95751167467360.945873820700632
0.32569.9645984602860.976870163090224
0.3571.05166814705851.13237018539505
0.37572.26654956563011.23936597244925
0.473.51299831519831.21705538494066
0.42574.63523720930481.01611315746269
0.4575.51127985581340.765059604169497
0.47576.19528615312850.656027125845838
0.576.87022788187850.739774387958771
0.52577.65965146664010.869484516384336
0.5578.56094557914520.95690888835946
0.57579.51438371173210.963638056287923
0.680.46058832228320.944991864412732
0.62581.44321988815121.01971894998476
0.6582.54206445642861.12451262215315
0.67583.70759552908551.10249722194178
0.784.82650966935291.02164927883100
0.72585.91747146600720.985244729277902
0.7586.94456964689250.85598507225203
0.77587.94074904658920.907693297263047
0.889.16769854210671.10448382014029
0.82590.6616359930371.26106525568625
0.8592.59741725938121.60956937364392
0.87595.274484827822.10713833741742
0.999.10414374610372.60372596915056
0.925103.7062931697872.52592332917429
0.95108.9683643302062.57171773853427
0.975119.5039686831685.54742147865435
1171.95NA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.00 ; par2 = 1 ; par3 = 0.025 ;
Parameters (R input):
par1 = 0.00 ; par2 = 1 ; par3 = 0.025 ;
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')