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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 computationSat, 08 Oct 2011 08:00:06 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/08/t1318075241sx93eeoj4bo85kg.htm/, Retrieved Thu, 16 May 2024 17:30:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=127295, Retrieved Thu, 16 May 2024 17:30:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact131

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Reizen naar buite...] [2011-10-08 12:00:06] [985effad88469dba2561b9b6b57ccb37] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
127,19
133,1
129,12
123,28
123,36
124,13
126,96
127,14
123,7
123,67
130,19
134,01
124,96
129,96
128,32
132,38
126,25
128,91
131,42
129,44
126,86
126,71
131,63
132,78
126,61
132,84
123,14
128,13
125,49
126,48
130,86
127,32
126,56
126,64
129,26
126,47
135,38
135,5
132,22
122,62
125,16
128,5
133,86
128,87
125,07
125,25
132,16
130,24
104,77
111,04
104,5
102,42
103,05
105,84
107,92
108,22
104,26
105,19
103,25
108,16
105,27
113,99
109,84
104,33
105,48
109,68
111,54
110,63
107,8
108,02
105,59
111,64
107
116,14
117,18
102,28
109,43
114,28
117,39
116,66
114,29
114,18
114,12
122,62
115,7
127,91
119,55
115,08
116,63
121,38
123,41
120,7
119,4
116,83
116,4
121,67
116,54
129,61
119,93
117,64
121,01
124,2
125,23
123,24
121,58
120,89
117,77
110,91
110,91

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127295&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127295&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127295&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01102.4693855628020.370977702324748
0.02102.8514302722160.606484749439737
0.03103.3129535022920.710155949088603
0.04103.7650591511850.712910077219043
0.05104.1677920312840.669777575319141
0.06104.518936828210.646318445576631
0.07104.8380071518480.677015782257352
0.08105.1508023590670.76252906760794
0.09105.4790407487010.8888605715539
0.1105.8357610221041.03231341664204
0.11106.2241896706831.16422166508415
0.12106.6389855965671.26234207493616
0.13107.0697577563141.3201832197619
0.14107.5057397732831.3479951792725
0.15107.9395428976021.36431914888026
0.16108.368520007721.38490871084347
0.17108.7938574676171.41679306428898
0.18109.2186636927211.45939591526845
0.19109.6463511759951.51053168814898
0.2110.079851282771.56892555888178
0.21110.5214255071141.63428511619579
0.22110.972553834891.70447493802003
0.23111.4335954580911.77385889402823
0.24111.903307226871.83342539723178
0.25112.3785424212541.87305113520728
0.26112.8544101777561.88576924921824
0.27113.324942747821.86897750726343
0.28113.7840775215561.82524734755954
0.29114.2266541573331.76126383645285
0.3114.6491802049631.68554797312219
0.31115.050258958471.60757324516672
0.32115.4307001948731.53666418489383
0.33115.7933865458731.48114949860421
0.34116.1429493353951.4484626755812
0.35116.4852664577511.44431591852444
0.36116.8267822804691.47034227023578
0.37117.1736853520681.52346563858172
0.38117.5310450591421.59613473499867
0.39117.902062855681.67689882845984
0.4118.2876012299121.75381482493558
0.41118.6861019029011.81514522500493
0.42119.0939098879011.8529321702629
0.43119.5059169332081.86265746487999
0.44119.9163639287251.84353340195973
0.45120.3196213598261.7992538878899
0.46120.7108023486821.73452844072179
0.47121.0861357335141.65557284584312
0.48121.4431064795011.56816489698345
0.49121.780428021761.47743892053811
0.5122.0979291612851.38766099643204
0.51122.3964183787751.30298042236014
0.52122.6775480533041.22659733854457
0.53122.9436636758771.16177013477878
0.54123.1976074582121.11079673675631
0.55123.4424574252321.07492434851619
0.56123.6812133571611.0525705730642
0.57123.9164722317511.04146970073761
0.58124.1501513434551.03717718808343
0.59124.3833096613291.03516947058172
0.6124.6160923962851.03118335997501
0.61124.8477941591911.02161387420296
0.62125.0770168558541.0041203664974
0.63125.3018959785880.977093024366457
0.64125.5203782660060.940574205526253
0.65125.7305421204050.89535536895321
0.66125.9309477687980.843955830164273
0.67126.1209840219140.790282144343073
0.68126.3011515986030.73992348834519
0.69126.4732057919960.698912079767367
0.7126.6400886474670.672476546669005
0.71126.8056178298450.664719464872064
0.72126.9739581768520.675830136620231
0.73127.1489652562260.702482285519459
0.74127.3335381518310.738628079501566
0.75127.529135289760.776543545383322
0.76127.7355845499430.809017568999317
0.77127.9512591707150.830279960236671
0.78128.1736061829010.837834986422176
0.79128.3999252675170.832376422658055
0.8128.6282280108350.818310083050844
0.81128.8579804726580.802413645516212
0.82129.0905503408370.792239531840201
0.83129.3292289133920.794563137543681
0.84129.5787541060850.813431289080715
0.85129.8443159681310.848324673938387
0.86130.1301104894040.893332541684156
0.87130.4376739318330.936879478054657
0.88130.7644876258690.964160821182278
0.89131.103575099410.961285607347941
0.9131.4447839759150.920459935259856
0.91131.7779743690960.846200015596428
0.92132.09752659420.755647927144545
0.93132.4068223742590.675529357384154
0.94132.7211148447360.634002971294398
0.95133.0679860522330.648005346350047
0.96133.4854721061340.714652814167725
0.97134.0110318680790.819498970766251
0.98134.634190725190.87123860483292
0.99135.2106964849070.601097378496082

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 102.469385562802 & 0.370977702324748 \tabularnewline
0.02 & 102.851430272216 & 0.606484749439737 \tabularnewline
0.03 & 103.312953502292 & 0.710155949088603 \tabularnewline
0.04 & 103.765059151185 & 0.712910077219043 \tabularnewline
0.05 & 104.167792031284 & 0.669777575319141 \tabularnewline
0.06 & 104.51893682821 & 0.646318445576631 \tabularnewline
0.07 & 104.838007151848 & 0.677015782257352 \tabularnewline
0.08 & 105.150802359067 & 0.76252906760794 \tabularnewline
0.09 & 105.479040748701 & 0.8888605715539 \tabularnewline
0.1 & 105.835761022104 & 1.03231341664204 \tabularnewline
0.11 & 106.224189670683 & 1.16422166508415 \tabularnewline
0.12 & 106.638985596567 & 1.26234207493616 \tabularnewline
0.13 & 107.069757756314 & 1.3201832197619 \tabularnewline
0.14 & 107.505739773283 & 1.3479951792725 \tabularnewline
0.15 & 107.939542897602 & 1.36431914888026 \tabularnewline
0.16 & 108.36852000772 & 1.38490871084347 \tabularnewline
0.17 & 108.793857467617 & 1.41679306428898 \tabularnewline
0.18 & 109.218663692721 & 1.45939591526845 \tabularnewline
0.19 & 109.646351175995 & 1.51053168814898 \tabularnewline
0.2 & 110.07985128277 & 1.56892555888178 \tabularnewline
0.21 & 110.521425507114 & 1.63428511619579 \tabularnewline
0.22 & 110.97255383489 & 1.70447493802003 \tabularnewline
0.23 & 111.433595458091 & 1.77385889402823 \tabularnewline
0.24 & 111.90330722687 & 1.83342539723178 \tabularnewline
0.25 & 112.378542421254 & 1.87305113520728 \tabularnewline
0.26 & 112.854410177756 & 1.88576924921824 \tabularnewline
0.27 & 113.32494274782 & 1.86897750726343 \tabularnewline
0.28 & 113.784077521556 & 1.82524734755954 \tabularnewline
0.29 & 114.226654157333 & 1.76126383645285 \tabularnewline
0.3 & 114.649180204963 & 1.68554797312219 \tabularnewline
0.31 & 115.05025895847 & 1.60757324516672 \tabularnewline
0.32 & 115.430700194873 & 1.53666418489383 \tabularnewline
0.33 & 115.793386545873 & 1.48114949860421 \tabularnewline
0.34 & 116.142949335395 & 1.4484626755812 \tabularnewline
0.35 & 116.485266457751 & 1.44431591852444 \tabularnewline
0.36 & 116.826782280469 & 1.47034227023578 \tabularnewline
0.37 & 117.173685352068 & 1.52346563858172 \tabularnewline
0.38 & 117.531045059142 & 1.59613473499867 \tabularnewline
0.39 & 117.90206285568 & 1.67689882845984 \tabularnewline
0.4 & 118.287601229912 & 1.75381482493558 \tabularnewline
0.41 & 118.686101902901 & 1.81514522500493 \tabularnewline
0.42 & 119.093909887901 & 1.8529321702629 \tabularnewline
0.43 & 119.505916933208 & 1.86265746487999 \tabularnewline
0.44 & 119.916363928725 & 1.84353340195973 \tabularnewline
0.45 & 120.319621359826 & 1.7992538878899 \tabularnewline
0.46 & 120.710802348682 & 1.73452844072179 \tabularnewline
0.47 & 121.086135733514 & 1.65557284584312 \tabularnewline
0.48 & 121.443106479501 & 1.56816489698345 \tabularnewline
0.49 & 121.78042802176 & 1.47743892053811 \tabularnewline
0.5 & 122.097929161285 & 1.38766099643204 \tabularnewline
0.51 & 122.396418378775 & 1.30298042236014 \tabularnewline
0.52 & 122.677548053304 & 1.22659733854457 \tabularnewline
0.53 & 122.943663675877 & 1.16177013477878 \tabularnewline
0.54 & 123.197607458212 & 1.11079673675631 \tabularnewline
0.55 & 123.442457425232 & 1.07492434851619 \tabularnewline
0.56 & 123.681213357161 & 1.0525705730642 \tabularnewline
0.57 & 123.916472231751 & 1.04146970073761 \tabularnewline
0.58 & 124.150151343455 & 1.03717718808343 \tabularnewline
0.59 & 124.383309661329 & 1.03516947058172 \tabularnewline
0.6 & 124.616092396285 & 1.03118335997501 \tabularnewline
0.61 & 124.847794159191 & 1.02161387420296 \tabularnewline
0.62 & 125.077016855854 & 1.0041203664974 \tabularnewline
0.63 & 125.301895978588 & 0.977093024366457 \tabularnewline
0.64 & 125.520378266006 & 0.940574205526253 \tabularnewline
0.65 & 125.730542120405 & 0.89535536895321 \tabularnewline
0.66 & 125.930947768798 & 0.843955830164273 \tabularnewline
0.67 & 126.120984021914 & 0.790282144343073 \tabularnewline
0.68 & 126.301151598603 & 0.73992348834519 \tabularnewline
0.69 & 126.473205791996 & 0.698912079767367 \tabularnewline
0.7 & 126.640088647467 & 0.672476546669005 \tabularnewline
0.71 & 126.805617829845 & 0.664719464872064 \tabularnewline
0.72 & 126.973958176852 & 0.675830136620231 \tabularnewline
0.73 & 127.148965256226 & 0.702482285519459 \tabularnewline
0.74 & 127.333538151831 & 0.738628079501566 \tabularnewline
0.75 & 127.52913528976 & 0.776543545383322 \tabularnewline
0.76 & 127.735584549943 & 0.809017568999317 \tabularnewline
0.77 & 127.951259170715 & 0.830279960236671 \tabularnewline
0.78 & 128.173606182901 & 0.837834986422176 \tabularnewline
0.79 & 128.399925267517 & 0.832376422658055 \tabularnewline
0.8 & 128.628228010835 & 0.818310083050844 \tabularnewline
0.81 & 128.857980472658 & 0.802413645516212 \tabularnewline
0.82 & 129.090550340837 & 0.792239531840201 \tabularnewline
0.83 & 129.329228913392 & 0.794563137543681 \tabularnewline
0.84 & 129.578754106085 & 0.813431289080715 \tabularnewline
0.85 & 129.844315968131 & 0.848324673938387 \tabularnewline
0.86 & 130.130110489404 & 0.893332541684156 \tabularnewline
0.87 & 130.437673931833 & 0.936879478054657 \tabularnewline
0.88 & 130.764487625869 & 0.964160821182278 \tabularnewline
0.89 & 131.10357509941 & 0.961285607347941 \tabularnewline
0.9 & 131.444783975915 & 0.920459935259856 \tabularnewline
0.91 & 131.777974369096 & 0.846200015596428 \tabularnewline
0.92 & 132.0975265942 & 0.755647927144545 \tabularnewline
0.93 & 132.406822374259 & 0.675529357384154 \tabularnewline
0.94 & 132.721114844736 & 0.634002971294398 \tabularnewline
0.95 & 133.067986052233 & 0.648005346350047 \tabularnewline
0.96 & 133.485472106134 & 0.714652814167725 \tabularnewline
0.97 & 134.011031868079 & 0.819498970766251 \tabularnewline
0.98 & 134.63419072519 & 0.87123860483292 \tabularnewline
0.99 & 135.210696484907 & 0.601097378496082 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127295&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]102.469385562802[/C][C]0.370977702324748[/C][/ROW]
[ROW][C]0.02[/C][C]102.851430272216[/C][C]0.606484749439737[/C][/ROW]
[ROW][C]0.03[/C][C]103.312953502292[/C][C]0.710155949088603[/C][/ROW]
[ROW][C]0.04[/C][C]103.765059151185[/C][C]0.712910077219043[/C][/ROW]
[ROW][C]0.05[/C][C]104.167792031284[/C][C]0.669777575319141[/C][/ROW]
[ROW][C]0.06[/C][C]104.51893682821[/C][C]0.646318445576631[/C][/ROW]
[ROW][C]0.07[/C][C]104.838007151848[/C][C]0.677015782257352[/C][/ROW]
[ROW][C]0.08[/C][C]105.150802359067[/C][C]0.76252906760794[/C][/ROW]
[ROW][C]0.09[/C][C]105.479040748701[/C][C]0.8888605715539[/C][/ROW]
[ROW][C]0.1[/C][C]105.835761022104[/C][C]1.03231341664204[/C][/ROW]
[ROW][C]0.11[/C][C]106.224189670683[/C][C]1.16422166508415[/C][/ROW]
[ROW][C]0.12[/C][C]106.638985596567[/C][C]1.26234207493616[/C][/ROW]
[ROW][C]0.13[/C][C]107.069757756314[/C][C]1.3201832197619[/C][/ROW]
[ROW][C]0.14[/C][C]107.505739773283[/C][C]1.3479951792725[/C][/ROW]
[ROW][C]0.15[/C][C]107.939542897602[/C][C]1.36431914888026[/C][/ROW]
[ROW][C]0.16[/C][C]108.36852000772[/C][C]1.38490871084347[/C][/ROW]
[ROW][C]0.17[/C][C]108.793857467617[/C][C]1.41679306428898[/C][/ROW]
[ROW][C]0.18[/C][C]109.218663692721[/C][C]1.45939591526845[/C][/ROW]
[ROW][C]0.19[/C][C]109.646351175995[/C][C]1.51053168814898[/C][/ROW]
[ROW][C]0.2[/C][C]110.07985128277[/C][C]1.56892555888178[/C][/ROW]
[ROW][C]0.21[/C][C]110.521425507114[/C][C]1.63428511619579[/C][/ROW]
[ROW][C]0.22[/C][C]110.97255383489[/C][C]1.70447493802003[/C][/ROW]
[ROW][C]0.23[/C][C]111.433595458091[/C][C]1.77385889402823[/C][/ROW]
[ROW][C]0.24[/C][C]111.90330722687[/C][C]1.83342539723178[/C][/ROW]
[ROW][C]0.25[/C][C]112.378542421254[/C][C]1.87305113520728[/C][/ROW]
[ROW][C]0.26[/C][C]112.854410177756[/C][C]1.88576924921824[/C][/ROW]
[ROW][C]0.27[/C][C]113.32494274782[/C][C]1.86897750726343[/C][/ROW]
[ROW][C]0.28[/C][C]113.784077521556[/C][C]1.82524734755954[/C][/ROW]
[ROW][C]0.29[/C][C]114.226654157333[/C][C]1.76126383645285[/C][/ROW]
[ROW][C]0.3[/C][C]114.649180204963[/C][C]1.68554797312219[/C][/ROW]
[ROW][C]0.31[/C][C]115.05025895847[/C][C]1.60757324516672[/C][/ROW]
[ROW][C]0.32[/C][C]115.430700194873[/C][C]1.53666418489383[/C][/ROW]
[ROW][C]0.33[/C][C]115.793386545873[/C][C]1.48114949860421[/C][/ROW]
[ROW][C]0.34[/C][C]116.142949335395[/C][C]1.4484626755812[/C][/ROW]
[ROW][C]0.35[/C][C]116.485266457751[/C][C]1.44431591852444[/C][/ROW]
[ROW][C]0.36[/C][C]116.826782280469[/C][C]1.47034227023578[/C][/ROW]
[ROW][C]0.37[/C][C]117.173685352068[/C][C]1.52346563858172[/C][/ROW]
[ROW][C]0.38[/C][C]117.531045059142[/C][C]1.59613473499867[/C][/ROW]
[ROW][C]0.39[/C][C]117.90206285568[/C][C]1.67689882845984[/C][/ROW]
[ROW][C]0.4[/C][C]118.287601229912[/C][C]1.75381482493558[/C][/ROW]
[ROW][C]0.41[/C][C]118.686101902901[/C][C]1.81514522500493[/C][/ROW]
[ROW][C]0.42[/C][C]119.093909887901[/C][C]1.8529321702629[/C][/ROW]
[ROW][C]0.43[/C][C]119.505916933208[/C][C]1.86265746487999[/C][/ROW]
[ROW][C]0.44[/C][C]119.916363928725[/C][C]1.84353340195973[/C][/ROW]
[ROW][C]0.45[/C][C]120.319621359826[/C][C]1.7992538878899[/C][/ROW]
[ROW][C]0.46[/C][C]120.710802348682[/C][C]1.73452844072179[/C][/ROW]
[ROW][C]0.47[/C][C]121.086135733514[/C][C]1.65557284584312[/C][/ROW]
[ROW][C]0.48[/C][C]121.443106479501[/C][C]1.56816489698345[/C][/ROW]
[ROW][C]0.49[/C][C]121.78042802176[/C][C]1.47743892053811[/C][/ROW]
[ROW][C]0.5[/C][C]122.097929161285[/C][C]1.38766099643204[/C][/ROW]
[ROW][C]0.51[/C][C]122.396418378775[/C][C]1.30298042236014[/C][/ROW]
[ROW][C]0.52[/C][C]122.677548053304[/C][C]1.22659733854457[/C][/ROW]
[ROW][C]0.53[/C][C]122.943663675877[/C][C]1.16177013477878[/C][/ROW]
[ROW][C]0.54[/C][C]123.197607458212[/C][C]1.11079673675631[/C][/ROW]
[ROW][C]0.55[/C][C]123.442457425232[/C][C]1.07492434851619[/C][/ROW]
[ROW][C]0.56[/C][C]123.681213357161[/C][C]1.0525705730642[/C][/ROW]
[ROW][C]0.57[/C][C]123.916472231751[/C][C]1.04146970073761[/C][/ROW]
[ROW][C]0.58[/C][C]124.150151343455[/C][C]1.03717718808343[/C][/ROW]
[ROW][C]0.59[/C][C]124.383309661329[/C][C]1.03516947058172[/C][/ROW]
[ROW][C]0.6[/C][C]124.616092396285[/C][C]1.03118335997501[/C][/ROW]
[ROW][C]0.61[/C][C]124.847794159191[/C][C]1.02161387420296[/C][/ROW]
[ROW][C]0.62[/C][C]125.077016855854[/C][C]1.0041203664974[/C][/ROW]
[ROW][C]0.63[/C][C]125.301895978588[/C][C]0.977093024366457[/C][/ROW]
[ROW][C]0.64[/C][C]125.520378266006[/C][C]0.940574205526253[/C][/ROW]
[ROW][C]0.65[/C][C]125.730542120405[/C][C]0.89535536895321[/C][/ROW]
[ROW][C]0.66[/C][C]125.930947768798[/C][C]0.843955830164273[/C][/ROW]
[ROW][C]0.67[/C][C]126.120984021914[/C][C]0.790282144343073[/C][/ROW]
[ROW][C]0.68[/C][C]126.301151598603[/C][C]0.73992348834519[/C][/ROW]
[ROW][C]0.69[/C][C]126.473205791996[/C][C]0.698912079767367[/C][/ROW]
[ROW][C]0.7[/C][C]126.640088647467[/C][C]0.672476546669005[/C][/ROW]
[ROW][C]0.71[/C][C]126.805617829845[/C][C]0.664719464872064[/C][/ROW]
[ROW][C]0.72[/C][C]126.973958176852[/C][C]0.675830136620231[/C][/ROW]
[ROW][C]0.73[/C][C]127.148965256226[/C][C]0.702482285519459[/C][/ROW]
[ROW][C]0.74[/C][C]127.333538151831[/C][C]0.738628079501566[/C][/ROW]
[ROW][C]0.75[/C][C]127.52913528976[/C][C]0.776543545383322[/C][/ROW]
[ROW][C]0.76[/C][C]127.735584549943[/C][C]0.809017568999317[/C][/ROW]
[ROW][C]0.77[/C][C]127.951259170715[/C][C]0.830279960236671[/C][/ROW]
[ROW][C]0.78[/C][C]128.173606182901[/C][C]0.837834986422176[/C][/ROW]
[ROW][C]0.79[/C][C]128.399925267517[/C][C]0.832376422658055[/C][/ROW]
[ROW][C]0.8[/C][C]128.628228010835[/C][C]0.818310083050844[/C][/ROW]
[ROW][C]0.81[/C][C]128.857980472658[/C][C]0.802413645516212[/C][/ROW]
[ROW][C]0.82[/C][C]129.090550340837[/C][C]0.792239531840201[/C][/ROW]
[ROW][C]0.83[/C][C]129.329228913392[/C][C]0.794563137543681[/C][/ROW]
[ROW][C]0.84[/C][C]129.578754106085[/C][C]0.813431289080715[/C][/ROW]
[ROW][C]0.85[/C][C]129.844315968131[/C][C]0.848324673938387[/C][/ROW]
[ROW][C]0.86[/C][C]130.130110489404[/C][C]0.893332541684156[/C][/ROW]
[ROW][C]0.87[/C][C]130.437673931833[/C][C]0.936879478054657[/C][/ROW]
[ROW][C]0.88[/C][C]130.764487625869[/C][C]0.964160821182278[/C][/ROW]
[ROW][C]0.89[/C][C]131.10357509941[/C][C]0.961285607347941[/C][/ROW]
[ROW][C]0.9[/C][C]131.444783975915[/C][C]0.920459935259856[/C][/ROW]
[ROW][C]0.91[/C][C]131.777974369096[/C][C]0.846200015596428[/C][/ROW]
[ROW][C]0.92[/C][C]132.0975265942[/C][C]0.755647927144545[/C][/ROW]
[ROW][C]0.93[/C][C]132.406822374259[/C][C]0.675529357384154[/C][/ROW]
[ROW][C]0.94[/C][C]132.721114844736[/C][C]0.634002971294398[/C][/ROW]
[ROW][C]0.95[/C][C]133.067986052233[/C][C]0.648005346350047[/C][/ROW]
[ROW][C]0.96[/C][C]133.485472106134[/C][C]0.714652814167725[/C][/ROW]
[ROW][C]0.97[/C][C]134.011031868079[/C][C]0.819498970766251[/C][/ROW]
[ROW][C]0.98[/C][C]134.63419072519[/C][C]0.87123860483292[/C][/ROW]
[ROW][C]0.99[/C][C]135.210696484907[/C][C]0.601097378496082[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127295&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127295&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
0.01102.4693855628020.370977702324748
0.02102.8514302722160.606484749439737
0.03103.3129535022920.710155949088603
0.04103.7650591511850.712910077219043
0.05104.1677920312840.669777575319141
0.06104.518936828210.646318445576631
0.07104.8380071518480.677015782257352
0.08105.1508023590670.76252906760794
0.09105.4790407487010.8888605715539
0.1105.8357610221041.03231341664204
0.11106.2241896706831.16422166508415
0.12106.6389855965671.26234207493616
0.13107.0697577563141.3201832197619
0.14107.5057397732831.3479951792725
0.15107.9395428976021.36431914888026
0.16108.368520007721.38490871084347
0.17108.7938574676171.41679306428898
0.18109.2186636927211.45939591526845
0.19109.6463511759951.51053168814898
0.2110.079851282771.56892555888178
0.21110.5214255071141.63428511619579
0.22110.972553834891.70447493802003
0.23111.4335954580911.77385889402823
0.24111.903307226871.83342539723178
0.25112.3785424212541.87305113520728
0.26112.8544101777561.88576924921824
0.27113.324942747821.86897750726343
0.28113.7840775215561.82524734755954
0.29114.2266541573331.76126383645285
0.3114.6491802049631.68554797312219
0.31115.050258958471.60757324516672
0.32115.4307001948731.53666418489383
0.33115.7933865458731.48114949860421
0.34116.1429493353951.4484626755812
0.35116.4852664577511.44431591852444
0.36116.8267822804691.47034227023578
0.37117.1736853520681.52346563858172
0.38117.5310450591421.59613473499867
0.39117.902062855681.67689882845984
0.4118.2876012299121.75381482493558
0.41118.6861019029011.81514522500493
0.42119.0939098879011.8529321702629
0.43119.5059169332081.86265746487999
0.44119.9163639287251.84353340195973
0.45120.3196213598261.7992538878899
0.46120.7108023486821.73452844072179
0.47121.0861357335141.65557284584312
0.48121.4431064795011.56816489698345
0.49121.780428021761.47743892053811
0.5122.0979291612851.38766099643204
0.51122.3964183787751.30298042236014
0.52122.6775480533041.22659733854457
0.53122.9436636758771.16177013477878
0.54123.1976074582121.11079673675631
0.55123.4424574252321.07492434851619
0.56123.6812133571611.0525705730642
0.57123.9164722317511.04146970073761
0.58124.1501513434551.03717718808343
0.59124.3833096613291.03516947058172
0.6124.6160923962851.03118335997501
0.61124.8477941591911.02161387420296
0.62125.0770168558541.0041203664974
0.63125.3018959785880.977093024366457
0.64125.5203782660060.940574205526253
0.65125.7305421204050.89535536895321
0.66125.9309477687980.843955830164273
0.67126.1209840219140.790282144343073
0.68126.3011515986030.73992348834519
0.69126.4732057919960.698912079767367
0.7126.6400886474670.672476546669005
0.71126.8056178298450.664719464872064
0.72126.9739581768520.675830136620231
0.73127.1489652562260.702482285519459
0.74127.3335381518310.738628079501566
0.75127.529135289760.776543545383322
0.76127.7355845499430.809017568999317
0.77127.9512591707150.830279960236671
0.78128.1736061829010.837834986422176
0.79128.3999252675170.832376422658055
0.8128.6282280108350.818310083050844
0.81128.8579804726580.802413645516212
0.82129.0905503408370.792239531840201
0.83129.3292289133920.794563137543681
0.84129.5787541060850.813431289080715
0.85129.8443159681310.848324673938387
0.86130.1301104894040.893332541684156
0.87130.4376739318330.936879478054657
0.88130.7644876258690.964160821182278
0.89131.103575099410.961285607347941
0.9131.4447839759150.920459935259856
0.91131.7779743690960.846200015596428
0.92132.09752659420.755647927144545
0.93132.4068223742590.675529357384154
0.94132.7211148447360.634002971294398
0.95133.0679860522330.648005346350047
0.96133.4854721061340.714652814167725
0.97134.0110318680790.819498970766251
0.98134.634190725190.87123860483292
0.99135.2106964849070.601097378496082


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
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')