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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, 09 Oct 2015 14:45:58 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/09/t14443984241cfa2jcxbl5p8y2.htm/, Retrieved Tue, 14 May 2024 02:54:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281902, Retrieved Tue, 14 May 2024 02:54:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

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] [] [2015-10-09 13:45:58] [db7ed3fbbcc36ff904ff15d7b0c6bd86] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
80,44
80,9
81,03
81,6
81,56
82,08
83,44
83,55
82,63
82,43
82,42
82,48
82,51
83,23
83,41
83,88
83,96
84,32
85,82
85,72
84,36
84,36
84,36
85,08
84,95
85,62
86,22
86,4
86,71
87,51
89,22
89,43
88,24
88,9
88,78
89,25
88,8
89,46
89,66
90,29
90,08
90,42
92,14
92,09
91,35
91,22
90,99
91,48
90,98
91,52
91,62
92,12
92,26
92,18
94,12
93,82
93,2
93,34
93,11
93,63
93,29
93,69
94,19
94,82
94,52
94,94
96,87
96,6
95,43
95,56
95,37
96
95,6
96,17
96,26
97,2
97,23
97,74
99,37
99,37
98,22
98,27
97,98
98,53
97,98
98,63
98,74
99,37
99,51
99,66
101,62
101,71
100,49
100,81
100,48
101,01
100,62
101,12
101,45
101,34
101,39
101,93
102,42
102,18
102,72
102,43
102,35
102,69

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=281902&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=281902&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281902&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
0.0180.68145091913920.378707765284344
0.0281.01658988271430.397747791792004
0.0381.33932275403620.46040410470129
0.0481.63919824659290.484667364626227
0.0581.91156234966250.470544861566142
0.0682.15138571218880.440515018060787
0.0782.36224561854320.425287716110752
0.0882.55551502499670.443335585437943
0.0982.74406815932850.486549755200297
0.182.93638320351770.533654295178768
0.1183.13460192732920.569292787283623
0.1283.33647961223170.590452939096368
0.1383.53876014069360.60278503144566
0.1483.73970392630860.615376097907387
0.1583.93999590740780.636197466566569
0.1684.1424253822340.670670094946309
0.1784.35103617868360.721634679640819
0.1884.57023630678940.788683317903111
0.1984.80408092815870.869237252295219
0.285.05578104730790.959336275530101
0.2185.32741217780881.05526606814982
0.2285.61974894112051.15232903818354
0.2385.93213892724031.24483857889856
0.2486.26237726628091.32644702082131
0.2586.60663569868591.38965176211305
0.2686.95957332225991.42753690934622
0.2787.31474852726621.43555504606285
0.2887.66535148162061.41337702597156
0.2988.00513315988141.36506331243606
0.388.32929778058821.29868626608559
0.3188.63510892678351.22495072947617
0.3288.92204420790591.15384669679256
0.3389.19147904410771.09306942457109
0.3489.44602408919561.04645984056069
0.3589.68872910527051.01342673968948
0.3689.92237513338950.990664280702711
0.3790.14901644267430.973360681638663
0.3890.36983614915360.956977687884581
0.3990.58528215122050.939143132483585
0.490.79538193174880.918735958196654
0.4191.00010881303720.897217084604394
0.4291.19968589000790.876841627700441
0.4391.39475419771310.860462438553818
0.4491.58638208439870.849779977460874
0.4591.7759385372230.846480341572231
0.4691.96488459606890.849918812111058
0.4792.15454980612740.85904420752632
0.4892.34595530027280.871340628655313
0.4992.53972520039230.884871988987485
0.592.73609946229010.897373782340043
0.5192.93503149065190.908362506885882
0.5293.13633077790680.917128382865953
0.5393.33980115344460.924519437076765
0.5493.54533205400180.931585729954291
0.5593.75292128676170.938875508275777
0.5693.96263550683780.946585450608186
0.5794.17453860453270.954269452911907
0.5894.38862900910720.961391003979607
0.5994.6048201917270.967120895111782
0.694.82297705952620.971197863596153
0.6195.04299328731580.974010262772497
0.6295.26487238507630.976534290792638
0.6395.48876793229350.979706670319331
0.6495.71494967450950.984135863897577
0.6595.94368865247450.989727962185537
0.6696.17508694490580.99532226950352
0.6796.40890418987180.999099752027317
0.6896.64444361720680.99838524788043
0.6996.88054966876110.991114960561099
0.797.11573909224850.975972594006273
0.7197.34844629945910.953003385064085
0.7297.57732538077330.924095468696443
0.7397.80152993242830.891856508424243
0.7498.02089731496460.859845695505965
0.7598.23599503996460.831171864708745
0.7698.44802988355910.808389101319707
0.7798.65865357771670.792381671819079
0.7898.86970575965460.783481416507565
0.7999.08291673965080.780419093631226
0.899.29957287150980.781196000123587
0.8199.52015639042690.782230417073793
0.8299.74401978660990.779029875674787
0.8399.96921319054340.766480718400673
0.84100.1925966535660.740588990601067
0.85100.410301070680.699712197776644
0.86100.618475857520.64578676445996
0.87100.8141550635310.583381575454383
0.88100.9960488532810.519273970864299
0.89101.1651024837820.46059570443293
0.9101.3246627900220.414216145005042
0.91101.4799919123270.385039900096974
0.92101.6367852283440.372591118396359
0.93101.7986166250680.368102208704655
0.94101.9642108586570.355291454052203
0.95102.1269546137140.319477445651202
0.96102.2793204056230.261074511415843
0.97102.4200951252990.204998231800817
0.98102.5524137684340.171881968604469
0.99102.6638778300870.114443436160877

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 80.6814509191392 & 0.378707765284344 \tabularnewline
0.02 & 81.0165898827143 & 0.397747791792004 \tabularnewline
0.03 & 81.3393227540362 & 0.46040410470129 \tabularnewline
0.04 & 81.6391982465929 & 0.484667364626227 \tabularnewline
0.05 & 81.9115623496625 & 0.470544861566142 \tabularnewline
0.06 & 82.1513857121888 & 0.440515018060787 \tabularnewline
0.07 & 82.3622456185432 & 0.425287716110752 \tabularnewline
0.08 & 82.5555150249967 & 0.443335585437943 \tabularnewline
0.09 & 82.7440681593285 & 0.486549755200297 \tabularnewline
0.1 & 82.9363832035177 & 0.533654295178768 \tabularnewline
0.11 & 83.1346019273292 & 0.569292787283623 \tabularnewline
0.12 & 83.3364796122317 & 0.590452939096368 \tabularnewline
0.13 & 83.5387601406936 & 0.60278503144566 \tabularnewline
0.14 & 83.7397039263086 & 0.615376097907387 \tabularnewline
0.15 & 83.9399959074078 & 0.636197466566569 \tabularnewline
0.16 & 84.142425382234 & 0.670670094946309 \tabularnewline
0.17 & 84.3510361786836 & 0.721634679640819 \tabularnewline
0.18 & 84.5702363067894 & 0.788683317903111 \tabularnewline
0.19 & 84.8040809281587 & 0.869237252295219 \tabularnewline
0.2 & 85.0557810473079 & 0.959336275530101 \tabularnewline
0.21 & 85.3274121778088 & 1.05526606814982 \tabularnewline
0.22 & 85.6197489411205 & 1.15232903818354 \tabularnewline
0.23 & 85.9321389272403 & 1.24483857889856 \tabularnewline
0.24 & 86.2623772662809 & 1.32644702082131 \tabularnewline
0.25 & 86.6066356986859 & 1.38965176211305 \tabularnewline
0.26 & 86.9595733222599 & 1.42753690934622 \tabularnewline
0.27 & 87.3147485272662 & 1.43555504606285 \tabularnewline
0.28 & 87.6653514816206 & 1.41337702597156 \tabularnewline
0.29 & 88.0051331598814 & 1.36506331243606 \tabularnewline
0.3 & 88.3292977805882 & 1.29868626608559 \tabularnewline
0.31 & 88.6351089267835 & 1.22495072947617 \tabularnewline
0.32 & 88.9220442079059 & 1.15384669679256 \tabularnewline
0.33 & 89.1914790441077 & 1.09306942457109 \tabularnewline
0.34 & 89.4460240891956 & 1.04645984056069 \tabularnewline
0.35 & 89.6887291052705 & 1.01342673968948 \tabularnewline
0.36 & 89.9223751333895 & 0.990664280702711 \tabularnewline
0.37 & 90.1490164426743 & 0.973360681638663 \tabularnewline
0.38 & 90.3698361491536 & 0.956977687884581 \tabularnewline
0.39 & 90.5852821512205 & 0.939143132483585 \tabularnewline
0.4 & 90.7953819317488 & 0.918735958196654 \tabularnewline
0.41 & 91.0001088130372 & 0.897217084604394 \tabularnewline
0.42 & 91.1996858900079 & 0.876841627700441 \tabularnewline
0.43 & 91.3947541977131 & 0.860462438553818 \tabularnewline
0.44 & 91.5863820843987 & 0.849779977460874 \tabularnewline
0.45 & 91.775938537223 & 0.846480341572231 \tabularnewline
0.46 & 91.9648845960689 & 0.849918812111058 \tabularnewline
0.47 & 92.1545498061274 & 0.85904420752632 \tabularnewline
0.48 & 92.3459553002728 & 0.871340628655313 \tabularnewline
0.49 & 92.5397252003923 & 0.884871988987485 \tabularnewline
0.5 & 92.7360994622901 & 0.897373782340043 \tabularnewline
0.51 & 92.9350314906519 & 0.908362506885882 \tabularnewline
0.52 & 93.1363307779068 & 0.917128382865953 \tabularnewline
0.53 & 93.3398011534446 & 0.924519437076765 \tabularnewline
0.54 & 93.5453320540018 & 0.931585729954291 \tabularnewline
0.55 & 93.7529212867617 & 0.938875508275777 \tabularnewline
0.56 & 93.9626355068378 & 0.946585450608186 \tabularnewline
0.57 & 94.1745386045327 & 0.954269452911907 \tabularnewline
0.58 & 94.3886290091072 & 0.961391003979607 \tabularnewline
0.59 & 94.604820191727 & 0.967120895111782 \tabularnewline
0.6 & 94.8229770595262 & 0.971197863596153 \tabularnewline
0.61 & 95.0429932873158 & 0.974010262772497 \tabularnewline
0.62 & 95.2648723850763 & 0.976534290792638 \tabularnewline
0.63 & 95.4887679322935 & 0.979706670319331 \tabularnewline
0.64 & 95.7149496745095 & 0.984135863897577 \tabularnewline
0.65 & 95.9436886524745 & 0.989727962185537 \tabularnewline
0.66 & 96.1750869449058 & 0.99532226950352 \tabularnewline
0.67 & 96.4089041898718 & 0.999099752027317 \tabularnewline
0.68 & 96.6444436172068 & 0.99838524788043 \tabularnewline
0.69 & 96.8805496687611 & 0.991114960561099 \tabularnewline
0.7 & 97.1157390922485 & 0.975972594006273 \tabularnewline
0.71 & 97.3484462994591 & 0.953003385064085 \tabularnewline
0.72 & 97.5773253807733 & 0.924095468696443 \tabularnewline
0.73 & 97.8015299324283 & 0.891856508424243 \tabularnewline
0.74 & 98.0208973149646 & 0.859845695505965 \tabularnewline
0.75 & 98.2359950399646 & 0.831171864708745 \tabularnewline
0.76 & 98.4480298835591 & 0.808389101319707 \tabularnewline
0.77 & 98.6586535777167 & 0.792381671819079 \tabularnewline
0.78 & 98.8697057596546 & 0.783481416507565 \tabularnewline
0.79 & 99.0829167396508 & 0.780419093631226 \tabularnewline
0.8 & 99.2995728715098 & 0.781196000123587 \tabularnewline
0.81 & 99.5201563904269 & 0.782230417073793 \tabularnewline
0.82 & 99.7440197866099 & 0.779029875674787 \tabularnewline
0.83 & 99.9692131905434 & 0.766480718400673 \tabularnewline
0.84 & 100.192596653566 & 0.740588990601067 \tabularnewline
0.85 & 100.41030107068 & 0.699712197776644 \tabularnewline
0.86 & 100.61847585752 & 0.64578676445996 \tabularnewline
0.87 & 100.814155063531 & 0.583381575454383 \tabularnewline
0.88 & 100.996048853281 & 0.519273970864299 \tabularnewline
0.89 & 101.165102483782 & 0.46059570443293 \tabularnewline
0.9 & 101.324662790022 & 0.414216145005042 \tabularnewline
0.91 & 101.479991912327 & 0.385039900096974 \tabularnewline
0.92 & 101.636785228344 & 0.372591118396359 \tabularnewline
0.93 & 101.798616625068 & 0.368102208704655 \tabularnewline
0.94 & 101.964210858657 & 0.355291454052203 \tabularnewline
0.95 & 102.126954613714 & 0.319477445651202 \tabularnewline
0.96 & 102.279320405623 & 0.261074511415843 \tabularnewline
0.97 & 102.420095125299 & 0.204998231800817 \tabularnewline
0.98 & 102.552413768434 & 0.171881968604469 \tabularnewline
0.99 & 102.663877830087 & 0.114443436160877 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281902&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]80.6814509191392[/C][C]0.378707765284344[/C][/ROW]
[ROW][C]0.02[/C][C]81.0165898827143[/C][C]0.397747791792004[/C][/ROW]
[ROW][C]0.03[/C][C]81.3393227540362[/C][C]0.46040410470129[/C][/ROW]
[ROW][C]0.04[/C][C]81.6391982465929[/C][C]0.484667364626227[/C][/ROW]
[ROW][C]0.05[/C][C]81.9115623496625[/C][C]0.470544861566142[/C][/ROW]
[ROW][C]0.06[/C][C]82.1513857121888[/C][C]0.440515018060787[/C][/ROW]
[ROW][C]0.07[/C][C]82.3622456185432[/C][C]0.425287716110752[/C][/ROW]
[ROW][C]0.08[/C][C]82.5555150249967[/C][C]0.443335585437943[/C][/ROW]
[ROW][C]0.09[/C][C]82.7440681593285[/C][C]0.486549755200297[/C][/ROW]
[ROW][C]0.1[/C][C]82.9363832035177[/C][C]0.533654295178768[/C][/ROW]
[ROW][C]0.11[/C][C]83.1346019273292[/C][C]0.569292787283623[/C][/ROW]
[ROW][C]0.12[/C][C]83.3364796122317[/C][C]0.590452939096368[/C][/ROW]
[ROW][C]0.13[/C][C]83.5387601406936[/C][C]0.60278503144566[/C][/ROW]
[ROW][C]0.14[/C][C]83.7397039263086[/C][C]0.615376097907387[/C][/ROW]
[ROW][C]0.15[/C][C]83.9399959074078[/C][C]0.636197466566569[/C][/ROW]
[ROW][C]0.16[/C][C]84.142425382234[/C][C]0.670670094946309[/C][/ROW]
[ROW][C]0.17[/C][C]84.3510361786836[/C][C]0.721634679640819[/C][/ROW]
[ROW][C]0.18[/C][C]84.5702363067894[/C][C]0.788683317903111[/C][/ROW]
[ROW][C]0.19[/C][C]84.8040809281587[/C][C]0.869237252295219[/C][/ROW]
[ROW][C]0.2[/C][C]85.0557810473079[/C][C]0.959336275530101[/C][/ROW]
[ROW][C]0.21[/C][C]85.3274121778088[/C][C]1.05526606814982[/C][/ROW]
[ROW][C]0.22[/C][C]85.6197489411205[/C][C]1.15232903818354[/C][/ROW]
[ROW][C]0.23[/C][C]85.9321389272403[/C][C]1.24483857889856[/C][/ROW]
[ROW][C]0.24[/C][C]86.2623772662809[/C][C]1.32644702082131[/C][/ROW]
[ROW][C]0.25[/C][C]86.6066356986859[/C][C]1.38965176211305[/C][/ROW]
[ROW][C]0.26[/C][C]86.9595733222599[/C][C]1.42753690934622[/C][/ROW]
[ROW][C]0.27[/C][C]87.3147485272662[/C][C]1.43555504606285[/C][/ROW]
[ROW][C]0.28[/C][C]87.6653514816206[/C][C]1.41337702597156[/C][/ROW]
[ROW][C]0.29[/C][C]88.0051331598814[/C][C]1.36506331243606[/C][/ROW]
[ROW][C]0.3[/C][C]88.3292977805882[/C][C]1.29868626608559[/C][/ROW]
[ROW][C]0.31[/C][C]88.6351089267835[/C][C]1.22495072947617[/C][/ROW]
[ROW][C]0.32[/C][C]88.9220442079059[/C][C]1.15384669679256[/C][/ROW]
[ROW][C]0.33[/C][C]89.1914790441077[/C][C]1.09306942457109[/C][/ROW]
[ROW][C]0.34[/C][C]89.4460240891956[/C][C]1.04645984056069[/C][/ROW]
[ROW][C]0.35[/C][C]89.6887291052705[/C][C]1.01342673968948[/C][/ROW]
[ROW][C]0.36[/C][C]89.9223751333895[/C][C]0.990664280702711[/C][/ROW]
[ROW][C]0.37[/C][C]90.1490164426743[/C][C]0.973360681638663[/C][/ROW]
[ROW][C]0.38[/C][C]90.3698361491536[/C][C]0.956977687884581[/C][/ROW]
[ROW][C]0.39[/C][C]90.5852821512205[/C][C]0.939143132483585[/C][/ROW]
[ROW][C]0.4[/C][C]90.7953819317488[/C][C]0.918735958196654[/C][/ROW]
[ROW][C]0.41[/C][C]91.0001088130372[/C][C]0.897217084604394[/C][/ROW]
[ROW][C]0.42[/C][C]91.1996858900079[/C][C]0.876841627700441[/C][/ROW]
[ROW][C]0.43[/C][C]91.3947541977131[/C][C]0.860462438553818[/C][/ROW]
[ROW][C]0.44[/C][C]91.5863820843987[/C][C]0.849779977460874[/C][/ROW]
[ROW][C]0.45[/C][C]91.775938537223[/C][C]0.846480341572231[/C][/ROW]
[ROW][C]0.46[/C][C]91.9648845960689[/C][C]0.849918812111058[/C][/ROW]
[ROW][C]0.47[/C][C]92.1545498061274[/C][C]0.85904420752632[/C][/ROW]
[ROW][C]0.48[/C][C]92.3459553002728[/C][C]0.871340628655313[/C][/ROW]
[ROW][C]0.49[/C][C]92.5397252003923[/C][C]0.884871988987485[/C][/ROW]
[ROW][C]0.5[/C][C]92.7360994622901[/C][C]0.897373782340043[/C][/ROW]
[ROW][C]0.51[/C][C]92.9350314906519[/C][C]0.908362506885882[/C][/ROW]
[ROW][C]0.52[/C][C]93.1363307779068[/C][C]0.917128382865953[/C][/ROW]
[ROW][C]0.53[/C][C]93.3398011534446[/C][C]0.924519437076765[/C][/ROW]
[ROW][C]0.54[/C][C]93.5453320540018[/C][C]0.931585729954291[/C][/ROW]
[ROW][C]0.55[/C][C]93.7529212867617[/C][C]0.938875508275777[/C][/ROW]
[ROW][C]0.56[/C][C]93.9626355068378[/C][C]0.946585450608186[/C][/ROW]
[ROW][C]0.57[/C][C]94.1745386045327[/C][C]0.954269452911907[/C][/ROW]
[ROW][C]0.58[/C][C]94.3886290091072[/C][C]0.961391003979607[/C][/ROW]
[ROW][C]0.59[/C][C]94.604820191727[/C][C]0.967120895111782[/C][/ROW]
[ROW][C]0.6[/C][C]94.8229770595262[/C][C]0.971197863596153[/C][/ROW]
[ROW][C]0.61[/C][C]95.0429932873158[/C][C]0.974010262772497[/C][/ROW]
[ROW][C]0.62[/C][C]95.2648723850763[/C][C]0.976534290792638[/C][/ROW]
[ROW][C]0.63[/C][C]95.4887679322935[/C][C]0.979706670319331[/C][/ROW]
[ROW][C]0.64[/C][C]95.7149496745095[/C][C]0.984135863897577[/C][/ROW]
[ROW][C]0.65[/C][C]95.9436886524745[/C][C]0.989727962185537[/C][/ROW]
[ROW][C]0.66[/C][C]96.1750869449058[/C][C]0.99532226950352[/C][/ROW]
[ROW][C]0.67[/C][C]96.4089041898718[/C][C]0.999099752027317[/C][/ROW]
[ROW][C]0.68[/C][C]96.6444436172068[/C][C]0.99838524788043[/C][/ROW]
[ROW][C]0.69[/C][C]96.8805496687611[/C][C]0.991114960561099[/C][/ROW]
[ROW][C]0.7[/C][C]97.1157390922485[/C][C]0.975972594006273[/C][/ROW]
[ROW][C]0.71[/C][C]97.3484462994591[/C][C]0.953003385064085[/C][/ROW]
[ROW][C]0.72[/C][C]97.5773253807733[/C][C]0.924095468696443[/C][/ROW]
[ROW][C]0.73[/C][C]97.8015299324283[/C][C]0.891856508424243[/C][/ROW]
[ROW][C]0.74[/C][C]98.0208973149646[/C][C]0.859845695505965[/C][/ROW]
[ROW][C]0.75[/C][C]98.2359950399646[/C][C]0.831171864708745[/C][/ROW]
[ROW][C]0.76[/C][C]98.4480298835591[/C][C]0.808389101319707[/C][/ROW]
[ROW][C]0.77[/C][C]98.6586535777167[/C][C]0.792381671819079[/C][/ROW]
[ROW][C]0.78[/C][C]98.8697057596546[/C][C]0.783481416507565[/C][/ROW]
[ROW][C]0.79[/C][C]99.0829167396508[/C][C]0.780419093631226[/C][/ROW]
[ROW][C]0.8[/C][C]99.2995728715098[/C][C]0.781196000123587[/C][/ROW]
[ROW][C]0.81[/C][C]99.5201563904269[/C][C]0.782230417073793[/C][/ROW]
[ROW][C]0.82[/C][C]99.7440197866099[/C][C]0.779029875674787[/C][/ROW]
[ROW][C]0.83[/C][C]99.9692131905434[/C][C]0.766480718400673[/C][/ROW]
[ROW][C]0.84[/C][C]100.192596653566[/C][C]0.740588990601067[/C][/ROW]
[ROW][C]0.85[/C][C]100.41030107068[/C][C]0.699712197776644[/C][/ROW]
[ROW][C]0.86[/C][C]100.61847585752[/C][C]0.64578676445996[/C][/ROW]
[ROW][C]0.87[/C][C]100.814155063531[/C][C]0.583381575454383[/C][/ROW]
[ROW][C]0.88[/C][C]100.996048853281[/C][C]0.519273970864299[/C][/ROW]
[ROW][C]0.89[/C][C]101.165102483782[/C][C]0.46059570443293[/C][/ROW]
[ROW][C]0.9[/C][C]101.324662790022[/C][C]0.414216145005042[/C][/ROW]
[ROW][C]0.91[/C][C]101.479991912327[/C][C]0.385039900096974[/C][/ROW]
[ROW][C]0.92[/C][C]101.636785228344[/C][C]0.372591118396359[/C][/ROW]
[ROW][C]0.93[/C][C]101.798616625068[/C][C]0.368102208704655[/C][/ROW]
[ROW][C]0.94[/C][C]101.964210858657[/C][C]0.355291454052203[/C][/ROW]
[ROW][C]0.95[/C][C]102.126954613714[/C][C]0.319477445651202[/C][/ROW]
[ROW][C]0.96[/C][C]102.279320405623[/C][C]0.261074511415843[/C][/ROW]
[ROW][C]0.97[/C][C]102.420095125299[/C][C]0.204998231800817[/C][/ROW]
[ROW][C]0.98[/C][C]102.552413768434[/C][C]0.171881968604469[/C][/ROW]
[ROW][C]0.99[/C][C]102.663877830087[/C][C]0.114443436160877[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281902&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281902&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
0.0180.68145091913920.378707765284344
0.0281.01658988271430.397747791792004
0.0381.33932275403620.46040410470129
0.0481.63919824659290.484667364626227
0.0581.91156234966250.470544861566142
0.0682.15138571218880.440515018060787
0.0782.36224561854320.425287716110752
0.0882.55551502499670.443335585437943
0.0982.74406815932850.486549755200297
0.182.93638320351770.533654295178768
0.1183.13460192732920.569292787283623
0.1283.33647961223170.590452939096368
0.1383.53876014069360.60278503144566
0.1483.73970392630860.615376097907387
0.1583.93999590740780.636197466566569
0.1684.1424253822340.670670094946309
0.1784.35103617868360.721634679640819
0.1884.57023630678940.788683317903111
0.1984.80408092815870.869237252295219
0.285.05578104730790.959336275530101
0.2185.32741217780881.05526606814982
0.2285.61974894112051.15232903818354
0.2385.93213892724031.24483857889856
0.2486.26237726628091.32644702082131
0.2586.60663569868591.38965176211305
0.2686.95957332225991.42753690934622
0.2787.31474852726621.43555504606285
0.2887.66535148162061.41337702597156
0.2988.00513315988141.36506331243606
0.388.32929778058821.29868626608559
0.3188.63510892678351.22495072947617
0.3288.92204420790591.15384669679256
0.3389.19147904410771.09306942457109
0.3489.44602408919561.04645984056069
0.3589.68872910527051.01342673968948
0.3689.92237513338950.990664280702711
0.3790.14901644267430.973360681638663
0.3890.36983614915360.956977687884581
0.3990.58528215122050.939143132483585
0.490.79538193174880.918735958196654
0.4191.00010881303720.897217084604394
0.4291.19968589000790.876841627700441
0.4391.39475419771310.860462438553818
0.4491.58638208439870.849779977460874
0.4591.7759385372230.846480341572231
0.4691.96488459606890.849918812111058
0.4792.15454980612740.85904420752632
0.4892.34595530027280.871340628655313
0.4992.53972520039230.884871988987485
0.592.73609946229010.897373782340043
0.5192.93503149065190.908362506885882
0.5293.13633077790680.917128382865953
0.5393.33980115344460.924519437076765
0.5493.54533205400180.931585729954291
0.5593.75292128676170.938875508275777
0.5693.96263550683780.946585450608186
0.5794.17453860453270.954269452911907
0.5894.38862900910720.961391003979607
0.5994.6048201917270.967120895111782
0.694.82297705952620.971197863596153
0.6195.04299328731580.974010262772497
0.6295.26487238507630.976534290792638
0.6395.48876793229350.979706670319331
0.6495.71494967450950.984135863897577
0.6595.94368865247450.989727962185537
0.6696.17508694490580.99532226950352
0.6796.40890418987180.999099752027317
0.6896.64444361720680.99838524788043
0.6996.88054966876110.991114960561099
0.797.11573909224850.975972594006273
0.7197.34844629945910.953003385064085
0.7297.57732538077330.924095468696443
0.7397.80152993242830.891856508424243
0.7498.02089731496460.859845695505965
0.7598.23599503996460.831171864708745
0.7698.44802988355910.808389101319707
0.7798.65865357771670.792381671819079
0.7898.86970575965460.783481416507565
0.7999.08291673965080.780419093631226
0.899.29957287150980.781196000123587
0.8199.52015639042690.782230417073793
0.8299.74401978660990.779029875674787
0.8399.96921319054340.766480718400673
0.84100.1925966535660.740588990601067
0.85100.410301070680.699712197776644
0.86100.618475857520.64578676445996
0.87100.8141550635310.583381575454383
0.88100.9960488532810.519273970864299
0.89101.1651024837820.46059570443293
0.9101.3246627900220.414216145005042
0.91101.4799919123270.385039900096974
0.92101.6367852283440.372591118396359
0.93101.7986166250680.368102208704655
0.94101.9642108586570.355291454052203
0.95102.1269546137140.319477445651202
0.96102.2793204056230.261074511415843
0.97102.4200951252990.204998231800817
0.98102.5524137684340.171881968604469
0.99102.6638778300870.114443436160877


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
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')