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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 computationSun, 09 Oct 2011 08:09:43 -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/09/t1318162229fa3u66b8t9ehhoa.htm/, Retrieved Sun, 19 May 2024 03:23:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=127406, Retrieved Sun, 19 May 2024 03:23:56 +0000
QR Codes:

Original text written by user:Aantal bestellingen Boeing
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact87

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] [Aantal bestelling...] [2011-10-09 12:09:43] [e09593412f775de82555261d5bbd0b3f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20
32
11
14
199
162
88
89
24
36
142
193
39
25
95
144
33
131
31
24
160
52
57
210
13
52
96
133
74
131
129
74
127
55
175
185
34
115
95
58
63
56
70
32
32
14
6
23
18
4
6
17
20
20
44
32
20
14
9
59
10
47
43
34
5
49
130
10
117
108
17
55

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127406&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127406&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127406&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.355856021420920.989145981479275
0.024.938050242430441.10614275632273
0.035.625874121443451.36605398357289
0.046.36865551466121.69015927290441
0.057.153271799810571.97042168931602
0.067.965136544208872.14360333022432
0.078.781506772874732.21652605285754
0.089.581321537925792.2386606388096
0.0910.35323792376612.25739204499016
0.111.09616706149572.29315099957503
0.1111.81511411502132.34397742736848
0.1212.51669517772662.40218846947195
0.1313.20660010930812.46409477642498
0.1413.888959493842.52983277713356
0.1514.56660743387212.59923297018341
0.1615.24144222597682.66952252321882
0.1715.91467184833052.73657388460281
0.1816.58709765429962.79827707959075
0.1917.25959749478672.85721916666532
0.217.93377518841922.92140226745822
0.2118.61255921266843.00254866466818
0.2219.30048209438523.11270667476209
0.2320.00346049392183.26005248122256
0.2420.72806100349293.44597995094674
0.2521.48040076038373.66353028357557
0.2622.26494021210573.89852806022766
0.2723.08345626948714.13200917067866
0.2823.93444323943784.34357116247982
0.2924.81309688430534.51487201907633
0.325.71191888399824.63276431219002
0.3126.62185883421254.69181990798546
0.3227.53380915858614.69588236071363
0.3328.44020105852084.65827505513642
0.3429.33642756033594.60056600454841
0.3530.22184646309144.55003021370221
0.3631.10018670360164.53574790930229
0.3731.9792831256244.58348890471165
0.3832.87017753948444.7106945754354
0.3933.78572698555174.92298196447395
0.434.73893483514425.2130587266091
0.4135.74125521329915.56270087982317
0.4236.80111351395385.94641284897344
0.4337.92284126007956.33536489488293
0.4439.10615406923246.70081916686819
0.4540.34622150545347.01734550577778
0.4641.63430088135927.26546593220924
0.4742.95884406308397.43318936255809
0.4844.30694282995397.51759454296959
0.4945.66595546164417.52483053123634
0.547.02515238074367.47015906329273
0.5148.37722723301517.37679368517609
0.5249.7195368936757.27477399220382
0.5351.05495602972877.19861407828037
0.5452.39225769794787.18493748405569
0.5553.74596182471087.26883247059501
0.5655.13563031235447.4794351370578
0.5756.5846326425717.83571134896775
0.5858.11845893467288.34306903818597
0.5959.76271499777228.99231832459672
0.661.54098889609849.76071717340237
0.6163.472820784338610.6145718149208
0.6265.572025629092411.5127574752328
0.6367.845601109201912.4114358026633
0.6470.293393339217813.2680703227567
0.6572.908590606061914.0462454346201
0.6675.678978913569714.7198575691523
0.6778.588742578837615.2751582344447
0.6881.620458488474815.712053440719
0.6984.756850272412416.0411088698866
0.787.981873404198716.2795137504467
0.7191.280816488030716.4437601559629
0.7294.639326524112716.542076473735
0.7398.041564477640316.569037246113
0.74101.4680091503516.5034005504732
0.75104.8936693851816.3122415998572
0.76108.28755403209815.959174985345
0.77111.61412661475215.4167471114061
0.78114.83712295082914.6787420059856
0.79117.92557755995913.7704499588872
0.8120.86128640905712.7543147122411
0.81123.64636793802311.7297416272462
0.82126.30922532226710.8260989313459
0.83128.90719798414110.1877051958398
0.84131.5246049775269.94443239863121
0.85134.26572364388110.1704483560635
0.86137.24338550879310.8514790119987
0.87140.5650295622411.8862558768531
0.88144.31881877359613.1179852061097
0.89148.562363678614.3708470835135
0.9153.31550445129215.478463315283
0.91158.55687714101516.29998068175
0.92164.22289500596916.7206092406727
0.93170.20921489307316.6401860273592
0.94176.38000772594315.9725933079276
0.95182.59676388634414.6864347844261
0.96188.77249677273512.89985560664
0.97194.90927400815611.0131437932341
0.98200.9741052418019.80214818028836
0.99206.4597751644879.96508026984815

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.35585602142092 & 0.989145981479275 \tabularnewline
0.02 & 4.93805024243044 & 1.10614275632273 \tabularnewline
0.03 & 5.62587412144345 & 1.36605398357289 \tabularnewline
0.04 & 6.3686555146612 & 1.69015927290441 \tabularnewline
0.05 & 7.15327179981057 & 1.97042168931602 \tabularnewline
0.06 & 7.96513654420887 & 2.14360333022432 \tabularnewline
0.07 & 8.78150677287473 & 2.21652605285754 \tabularnewline
0.08 & 9.58132153792579 & 2.2386606388096 \tabularnewline
0.09 & 10.3532379237661 & 2.25739204499016 \tabularnewline
0.1 & 11.0961670614957 & 2.29315099957503 \tabularnewline
0.11 & 11.8151141150213 & 2.34397742736848 \tabularnewline
0.12 & 12.5166951777266 & 2.40218846947195 \tabularnewline
0.13 & 13.2066001093081 & 2.46409477642498 \tabularnewline
0.14 & 13.88895949384 & 2.52983277713356 \tabularnewline
0.15 & 14.5666074338721 & 2.59923297018341 \tabularnewline
0.16 & 15.2414422259768 & 2.66952252321882 \tabularnewline
0.17 & 15.9146718483305 & 2.73657388460281 \tabularnewline
0.18 & 16.5870976542996 & 2.79827707959075 \tabularnewline
0.19 & 17.2595974947867 & 2.85721916666532 \tabularnewline
0.2 & 17.9337751884192 & 2.92140226745822 \tabularnewline
0.21 & 18.6125592126684 & 3.00254866466818 \tabularnewline
0.22 & 19.3004820943852 & 3.11270667476209 \tabularnewline
0.23 & 20.0034604939218 & 3.26005248122256 \tabularnewline
0.24 & 20.7280610034929 & 3.44597995094674 \tabularnewline
0.25 & 21.4804007603837 & 3.66353028357557 \tabularnewline
0.26 & 22.2649402121057 & 3.89852806022766 \tabularnewline
0.27 & 23.0834562694871 & 4.13200917067866 \tabularnewline
0.28 & 23.9344432394378 & 4.34357116247982 \tabularnewline
0.29 & 24.8130968843053 & 4.51487201907633 \tabularnewline
0.3 & 25.7119188839982 & 4.63276431219002 \tabularnewline
0.31 & 26.6218588342125 & 4.69181990798546 \tabularnewline
0.32 & 27.5338091585861 & 4.69588236071363 \tabularnewline
0.33 & 28.4402010585208 & 4.65827505513642 \tabularnewline
0.34 & 29.3364275603359 & 4.60056600454841 \tabularnewline
0.35 & 30.2218464630914 & 4.55003021370221 \tabularnewline
0.36 & 31.1001867036016 & 4.53574790930229 \tabularnewline
0.37 & 31.979283125624 & 4.58348890471165 \tabularnewline
0.38 & 32.8701775394844 & 4.7106945754354 \tabularnewline
0.39 & 33.7857269855517 & 4.92298196447395 \tabularnewline
0.4 & 34.7389348351442 & 5.2130587266091 \tabularnewline
0.41 & 35.7412552132991 & 5.56270087982317 \tabularnewline
0.42 & 36.8011135139538 & 5.94641284897344 \tabularnewline
0.43 & 37.9228412600795 & 6.33536489488293 \tabularnewline
0.44 & 39.1061540692324 & 6.70081916686819 \tabularnewline
0.45 & 40.3462215054534 & 7.01734550577778 \tabularnewline
0.46 & 41.6343008813592 & 7.26546593220924 \tabularnewline
0.47 & 42.9588440630839 & 7.43318936255809 \tabularnewline
0.48 & 44.3069428299539 & 7.51759454296959 \tabularnewline
0.49 & 45.6659554616441 & 7.52483053123634 \tabularnewline
0.5 & 47.0251523807436 & 7.47015906329273 \tabularnewline
0.51 & 48.3772272330151 & 7.37679368517609 \tabularnewline
0.52 & 49.719536893675 & 7.27477399220382 \tabularnewline
0.53 & 51.0549560297287 & 7.19861407828037 \tabularnewline
0.54 & 52.3922576979478 & 7.18493748405569 \tabularnewline
0.55 & 53.7459618247108 & 7.26883247059501 \tabularnewline
0.56 & 55.1356303123544 & 7.4794351370578 \tabularnewline
0.57 & 56.584632642571 & 7.83571134896775 \tabularnewline
0.58 & 58.1184589346728 & 8.34306903818597 \tabularnewline
0.59 & 59.7627149977722 & 8.99231832459672 \tabularnewline
0.6 & 61.5409888960984 & 9.76071717340237 \tabularnewline
0.61 & 63.4728207843386 & 10.6145718149208 \tabularnewline
0.62 & 65.5720256290924 & 11.5127574752328 \tabularnewline
0.63 & 67.8456011092019 & 12.4114358026633 \tabularnewline
0.64 & 70.2933933392178 & 13.2680703227567 \tabularnewline
0.65 & 72.9085906060619 & 14.0462454346201 \tabularnewline
0.66 & 75.6789789135697 & 14.7198575691523 \tabularnewline
0.67 & 78.5887425788376 & 15.2751582344447 \tabularnewline
0.68 & 81.6204584884748 & 15.712053440719 \tabularnewline
0.69 & 84.7568502724124 & 16.0411088698866 \tabularnewline
0.7 & 87.9818734041987 & 16.2795137504467 \tabularnewline
0.71 & 91.2808164880307 & 16.4437601559629 \tabularnewline
0.72 & 94.6393265241127 & 16.542076473735 \tabularnewline
0.73 & 98.0415644776403 & 16.569037246113 \tabularnewline
0.74 & 101.46800915035 & 16.5034005504732 \tabularnewline
0.75 & 104.89366938518 & 16.3122415998572 \tabularnewline
0.76 & 108.287554032098 & 15.959174985345 \tabularnewline
0.77 & 111.614126614752 & 15.4167471114061 \tabularnewline
0.78 & 114.837122950829 & 14.6787420059856 \tabularnewline
0.79 & 117.925577559959 & 13.7704499588872 \tabularnewline
0.8 & 120.861286409057 & 12.7543147122411 \tabularnewline
0.81 & 123.646367938023 & 11.7297416272462 \tabularnewline
0.82 & 126.309225322267 & 10.8260989313459 \tabularnewline
0.83 & 128.907197984141 & 10.1877051958398 \tabularnewline
0.84 & 131.524604977526 & 9.94443239863121 \tabularnewline
0.85 & 134.265723643881 & 10.1704483560635 \tabularnewline
0.86 & 137.243385508793 & 10.8514790119987 \tabularnewline
0.87 & 140.56502956224 & 11.8862558768531 \tabularnewline
0.88 & 144.318818773596 & 13.1179852061097 \tabularnewline
0.89 & 148.5623636786 & 14.3708470835135 \tabularnewline
0.9 & 153.315504451292 & 15.478463315283 \tabularnewline
0.91 & 158.556877141015 & 16.29998068175 \tabularnewline
0.92 & 164.222895005969 & 16.7206092406727 \tabularnewline
0.93 & 170.209214893073 & 16.6401860273592 \tabularnewline
0.94 & 176.380007725943 & 15.9725933079276 \tabularnewline
0.95 & 182.596763886344 & 14.6864347844261 \tabularnewline
0.96 & 188.772496772735 & 12.89985560664 \tabularnewline
0.97 & 194.909274008156 & 11.0131437932341 \tabularnewline
0.98 & 200.974105241801 & 9.80214818028836 \tabularnewline
0.99 & 206.459775164487 & 9.96508026984815 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127406&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]4.35585602142092[/C][C]0.989145981479275[/C][/ROW]
[ROW][C]0.02[/C][C]4.93805024243044[/C][C]1.10614275632273[/C][/ROW]
[ROW][C]0.03[/C][C]5.62587412144345[/C][C]1.36605398357289[/C][/ROW]
[ROW][C]0.04[/C][C]6.3686555146612[/C][C]1.69015927290441[/C][/ROW]
[ROW][C]0.05[/C][C]7.15327179981057[/C][C]1.97042168931602[/C][/ROW]
[ROW][C]0.06[/C][C]7.96513654420887[/C][C]2.14360333022432[/C][/ROW]
[ROW][C]0.07[/C][C]8.78150677287473[/C][C]2.21652605285754[/C][/ROW]
[ROW][C]0.08[/C][C]9.58132153792579[/C][C]2.2386606388096[/C][/ROW]
[ROW][C]0.09[/C][C]10.3532379237661[/C][C]2.25739204499016[/C][/ROW]
[ROW][C]0.1[/C][C]11.0961670614957[/C][C]2.29315099957503[/C][/ROW]
[ROW][C]0.11[/C][C]11.8151141150213[/C][C]2.34397742736848[/C][/ROW]
[ROW][C]0.12[/C][C]12.5166951777266[/C][C]2.40218846947195[/C][/ROW]
[ROW][C]0.13[/C][C]13.2066001093081[/C][C]2.46409477642498[/C][/ROW]
[ROW][C]0.14[/C][C]13.88895949384[/C][C]2.52983277713356[/C][/ROW]
[ROW][C]0.15[/C][C]14.5666074338721[/C][C]2.59923297018341[/C][/ROW]
[ROW][C]0.16[/C][C]15.2414422259768[/C][C]2.66952252321882[/C][/ROW]
[ROW][C]0.17[/C][C]15.9146718483305[/C][C]2.73657388460281[/C][/ROW]
[ROW][C]0.18[/C][C]16.5870976542996[/C][C]2.79827707959075[/C][/ROW]
[ROW][C]0.19[/C][C]17.2595974947867[/C][C]2.85721916666532[/C][/ROW]
[ROW][C]0.2[/C][C]17.9337751884192[/C][C]2.92140226745822[/C][/ROW]
[ROW][C]0.21[/C][C]18.6125592126684[/C][C]3.00254866466818[/C][/ROW]
[ROW][C]0.22[/C][C]19.3004820943852[/C][C]3.11270667476209[/C][/ROW]
[ROW][C]0.23[/C][C]20.0034604939218[/C][C]3.26005248122256[/C][/ROW]
[ROW][C]0.24[/C][C]20.7280610034929[/C][C]3.44597995094674[/C][/ROW]
[ROW][C]0.25[/C][C]21.4804007603837[/C][C]3.66353028357557[/C][/ROW]
[ROW][C]0.26[/C][C]22.2649402121057[/C][C]3.89852806022766[/C][/ROW]
[ROW][C]0.27[/C][C]23.0834562694871[/C][C]4.13200917067866[/C][/ROW]
[ROW][C]0.28[/C][C]23.9344432394378[/C][C]4.34357116247982[/C][/ROW]
[ROW][C]0.29[/C][C]24.8130968843053[/C][C]4.51487201907633[/C][/ROW]
[ROW][C]0.3[/C][C]25.7119188839982[/C][C]4.63276431219002[/C][/ROW]
[ROW][C]0.31[/C][C]26.6218588342125[/C][C]4.69181990798546[/C][/ROW]
[ROW][C]0.32[/C][C]27.5338091585861[/C][C]4.69588236071363[/C][/ROW]
[ROW][C]0.33[/C][C]28.4402010585208[/C][C]4.65827505513642[/C][/ROW]
[ROW][C]0.34[/C][C]29.3364275603359[/C][C]4.60056600454841[/C][/ROW]
[ROW][C]0.35[/C][C]30.2218464630914[/C][C]4.55003021370221[/C][/ROW]
[ROW][C]0.36[/C][C]31.1001867036016[/C][C]4.53574790930229[/C][/ROW]
[ROW][C]0.37[/C][C]31.979283125624[/C][C]4.58348890471165[/C][/ROW]
[ROW][C]0.38[/C][C]32.8701775394844[/C][C]4.7106945754354[/C][/ROW]
[ROW][C]0.39[/C][C]33.7857269855517[/C][C]4.92298196447395[/C][/ROW]
[ROW][C]0.4[/C][C]34.7389348351442[/C][C]5.2130587266091[/C][/ROW]
[ROW][C]0.41[/C][C]35.7412552132991[/C][C]5.56270087982317[/C][/ROW]
[ROW][C]0.42[/C][C]36.8011135139538[/C][C]5.94641284897344[/C][/ROW]
[ROW][C]0.43[/C][C]37.9228412600795[/C][C]6.33536489488293[/C][/ROW]
[ROW][C]0.44[/C][C]39.1061540692324[/C][C]6.70081916686819[/C][/ROW]
[ROW][C]0.45[/C][C]40.3462215054534[/C][C]7.01734550577778[/C][/ROW]
[ROW][C]0.46[/C][C]41.6343008813592[/C][C]7.26546593220924[/C][/ROW]
[ROW][C]0.47[/C][C]42.9588440630839[/C][C]7.43318936255809[/C][/ROW]
[ROW][C]0.48[/C][C]44.3069428299539[/C][C]7.51759454296959[/C][/ROW]
[ROW][C]0.49[/C][C]45.6659554616441[/C][C]7.52483053123634[/C][/ROW]
[ROW][C]0.5[/C][C]47.0251523807436[/C][C]7.47015906329273[/C][/ROW]
[ROW][C]0.51[/C][C]48.3772272330151[/C][C]7.37679368517609[/C][/ROW]
[ROW][C]0.52[/C][C]49.719536893675[/C][C]7.27477399220382[/C][/ROW]
[ROW][C]0.53[/C][C]51.0549560297287[/C][C]7.19861407828037[/C][/ROW]
[ROW][C]0.54[/C][C]52.3922576979478[/C][C]7.18493748405569[/C][/ROW]
[ROW][C]0.55[/C][C]53.7459618247108[/C][C]7.26883247059501[/C][/ROW]
[ROW][C]0.56[/C][C]55.1356303123544[/C][C]7.4794351370578[/C][/ROW]
[ROW][C]0.57[/C][C]56.584632642571[/C][C]7.83571134896775[/C][/ROW]
[ROW][C]0.58[/C][C]58.1184589346728[/C][C]8.34306903818597[/C][/ROW]
[ROW][C]0.59[/C][C]59.7627149977722[/C][C]8.99231832459672[/C][/ROW]
[ROW][C]0.6[/C][C]61.5409888960984[/C][C]9.76071717340237[/C][/ROW]
[ROW][C]0.61[/C][C]63.4728207843386[/C][C]10.6145718149208[/C][/ROW]
[ROW][C]0.62[/C][C]65.5720256290924[/C][C]11.5127574752328[/C][/ROW]
[ROW][C]0.63[/C][C]67.8456011092019[/C][C]12.4114358026633[/C][/ROW]
[ROW][C]0.64[/C][C]70.2933933392178[/C][C]13.2680703227567[/C][/ROW]
[ROW][C]0.65[/C][C]72.9085906060619[/C][C]14.0462454346201[/C][/ROW]
[ROW][C]0.66[/C][C]75.6789789135697[/C][C]14.7198575691523[/C][/ROW]
[ROW][C]0.67[/C][C]78.5887425788376[/C][C]15.2751582344447[/C][/ROW]
[ROW][C]0.68[/C][C]81.6204584884748[/C][C]15.712053440719[/C][/ROW]
[ROW][C]0.69[/C][C]84.7568502724124[/C][C]16.0411088698866[/C][/ROW]
[ROW][C]0.7[/C][C]87.9818734041987[/C][C]16.2795137504467[/C][/ROW]
[ROW][C]0.71[/C][C]91.2808164880307[/C][C]16.4437601559629[/C][/ROW]
[ROW][C]0.72[/C][C]94.6393265241127[/C][C]16.542076473735[/C][/ROW]
[ROW][C]0.73[/C][C]98.0415644776403[/C][C]16.569037246113[/C][/ROW]
[ROW][C]0.74[/C][C]101.46800915035[/C][C]16.5034005504732[/C][/ROW]
[ROW][C]0.75[/C][C]104.89366938518[/C][C]16.3122415998572[/C][/ROW]
[ROW][C]0.76[/C][C]108.287554032098[/C][C]15.959174985345[/C][/ROW]
[ROW][C]0.77[/C][C]111.614126614752[/C][C]15.4167471114061[/C][/ROW]
[ROW][C]0.78[/C][C]114.837122950829[/C][C]14.6787420059856[/C][/ROW]
[ROW][C]0.79[/C][C]117.925577559959[/C][C]13.7704499588872[/C][/ROW]
[ROW][C]0.8[/C][C]120.861286409057[/C][C]12.7543147122411[/C][/ROW]
[ROW][C]0.81[/C][C]123.646367938023[/C][C]11.7297416272462[/C][/ROW]
[ROW][C]0.82[/C][C]126.309225322267[/C][C]10.8260989313459[/C][/ROW]
[ROW][C]0.83[/C][C]128.907197984141[/C][C]10.1877051958398[/C][/ROW]
[ROW][C]0.84[/C][C]131.524604977526[/C][C]9.94443239863121[/C][/ROW]
[ROW][C]0.85[/C][C]134.265723643881[/C][C]10.1704483560635[/C][/ROW]
[ROW][C]0.86[/C][C]137.243385508793[/C][C]10.8514790119987[/C][/ROW]
[ROW][C]0.87[/C][C]140.56502956224[/C][C]11.8862558768531[/C][/ROW]
[ROW][C]0.88[/C][C]144.318818773596[/C][C]13.1179852061097[/C][/ROW]
[ROW][C]0.89[/C][C]148.5623636786[/C][C]14.3708470835135[/C][/ROW]
[ROW][C]0.9[/C][C]153.315504451292[/C][C]15.478463315283[/C][/ROW]
[ROW][C]0.91[/C][C]158.556877141015[/C][C]16.29998068175[/C][/ROW]
[ROW][C]0.92[/C][C]164.222895005969[/C][C]16.7206092406727[/C][/ROW]
[ROW][C]0.93[/C][C]170.209214893073[/C][C]16.6401860273592[/C][/ROW]
[ROW][C]0.94[/C][C]176.380007725943[/C][C]15.9725933079276[/C][/ROW]
[ROW][C]0.95[/C][C]182.596763886344[/C][C]14.6864347844261[/C][/ROW]
[ROW][C]0.96[/C][C]188.772496772735[/C][C]12.89985560664[/C][/ROW]
[ROW][C]0.97[/C][C]194.909274008156[/C][C]11.0131437932341[/C][/ROW]
[ROW][C]0.98[/C][C]200.974105241801[/C][C]9.80214818028836[/C][/ROW]
[ROW][C]0.99[/C][C]206.459775164487[/C][C]9.96508026984815[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127406&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127406&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
0.014.355856021420920.989145981479275
0.024.938050242430441.10614275632273
0.035.625874121443451.36605398357289
0.046.36865551466121.69015927290441
0.057.153271799810571.97042168931602
0.067.965136544208872.14360333022432
0.078.781506772874732.21652605285754
0.089.581321537925792.2386606388096
0.0910.35323792376612.25739204499016
0.111.09616706149572.29315099957503
0.1111.81511411502132.34397742736848
0.1212.51669517772662.40218846947195
0.1313.20660010930812.46409477642498
0.1413.888959493842.52983277713356
0.1514.56660743387212.59923297018341
0.1615.24144222597682.66952252321882
0.1715.91467184833052.73657388460281
0.1816.58709765429962.79827707959075
0.1917.25959749478672.85721916666532
0.217.93377518841922.92140226745822
0.2118.61255921266843.00254866466818
0.2219.30048209438523.11270667476209
0.2320.00346049392183.26005248122256
0.2420.72806100349293.44597995094674
0.2521.48040076038373.66353028357557
0.2622.26494021210573.89852806022766
0.2723.08345626948714.13200917067866
0.2823.93444323943784.34357116247982
0.2924.81309688430534.51487201907633
0.325.71191888399824.63276431219002
0.3126.62185883421254.69181990798546
0.3227.53380915858614.69588236071363
0.3328.44020105852084.65827505513642
0.3429.33642756033594.60056600454841
0.3530.22184646309144.55003021370221
0.3631.10018670360164.53574790930229
0.3731.9792831256244.58348890471165
0.3832.87017753948444.7106945754354
0.3933.78572698555174.92298196447395
0.434.73893483514425.2130587266091
0.4135.74125521329915.56270087982317
0.4236.80111351395385.94641284897344
0.4337.92284126007956.33536489488293
0.4439.10615406923246.70081916686819
0.4540.34622150545347.01734550577778
0.4641.63430088135927.26546593220924
0.4742.95884406308397.43318936255809
0.4844.30694282995397.51759454296959
0.4945.66595546164417.52483053123634
0.547.02515238074367.47015906329273
0.5148.37722723301517.37679368517609
0.5249.7195368936757.27477399220382
0.5351.05495602972877.19861407828037
0.5452.39225769794787.18493748405569
0.5553.74596182471087.26883247059501
0.5655.13563031235447.4794351370578
0.5756.5846326425717.83571134896775
0.5858.11845893467288.34306903818597
0.5959.76271499777228.99231832459672
0.661.54098889609849.76071717340237
0.6163.472820784338610.6145718149208
0.6265.572025629092411.5127574752328
0.6367.845601109201912.4114358026633
0.6470.293393339217813.2680703227567
0.6572.908590606061914.0462454346201
0.6675.678978913569714.7198575691523
0.6778.588742578837615.2751582344447
0.6881.620458488474815.712053440719
0.6984.756850272412416.0411088698866
0.787.981873404198716.2795137504467
0.7191.280816488030716.4437601559629
0.7294.639326524112716.542076473735
0.7398.041564477640316.569037246113
0.74101.4680091503516.5034005504732
0.75104.8936693851816.3122415998572
0.76108.28755403209815.959174985345
0.77111.61412661475215.4167471114061
0.78114.83712295082914.6787420059856
0.79117.92557755995913.7704499588872
0.8120.86128640905712.7543147122411
0.81123.64636793802311.7297416272462
0.82126.30922532226710.8260989313459
0.83128.90719798414110.1877051958398
0.84131.5246049775269.94443239863121
0.85134.26572364388110.1704483560635
0.86137.24338550879310.8514790119987
0.87140.5650295622411.8862558768531
0.88144.31881877359613.1179852061097
0.89148.562363678614.3708470835135
0.9153.31550445129215.478463315283
0.91158.55687714101516.29998068175
0.92164.22289500596916.7206092406727
0.93170.20921489307316.6401860273592
0.94176.38000772594315.9725933079276
0.95182.59676388634414.6864347844261
0.96188.77249677273512.89985560664
0.97194.90927400815611.0131437932341
0.98200.9741052418019.80214818028836
0.99206.4597751644879.96508026984815


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')