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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 computationTue, 24 May 2016 15:08:59 +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/2016/May/24/t1464098984kqrf6l4s2bocnbh.htm/, Retrieved Wed, 08 May 2024 20:33:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=295546, Retrieved Wed, 08 May 2024 20:33:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109

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] [CPI Wijnen - Harr...] [2016-05-24 14:01:56] [81a1e107241d8fde43db5076a3180805]
- R PD    [Harrell-Davis Quantiles] [CPI Wijnen - Harr...] [2016-05-24 14:08:59] [25a5f245cb671e152cfd8b6d35402e87] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
110.27
110.91
110.27
109.41
111.47
110.77
110.83
110.52
110.44
109.99
110.55
109.99
111.2
111.81
110.36
111.24
112.6
111.75
112.49
111.94
113.22
112.85
114.37
113.68
118
118.27
119.2
117.98
117.59
117.41
118.31
118.4
117.92
118.94
118.81
117.44
120.21
119.74
118.79
118.19
119.16
118.88
119.59
119.44
119.84
119.31
118.15
118.23
119.89
118.83
118.95
119.86
119.07
119.52
119.92
119.68
119.81
120.09
119.98
118.96

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=295546&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=295546&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295546&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
0.01109.53041054330.470696665404388
0.02109.6965035460080.346935316805064
0.03109.8558643872780.251893304027829
0.04109.9856227176890.202640846514288
0.05110.0862703777850.183958683679754
0.06110.1664484268180.176116850871037
0.07110.2341400477170.171730928033084
0.08110.2946064130630.171153520694793
0.09110.3511341942820.176129436598855
0.1110.4060171653340.187078944002356
0.11110.4610550871740.203341976309369
0.12110.5176963081220.223571330506662
0.13110.577061666550.24697054021647
0.14110.6399710115280.272701799229677
0.15110.7069954853890.300228625510901
0.16110.7785222574170.329072488949706
0.17110.8548177345360.359150112900699
0.18110.9360839296090.390380840235244
0.19111.0225090135050.42295943800385
0.2111.1143153304630.457072672131112
0.21111.2118077302520.49340455397
0.22111.3154233318210.532884443174468
0.23111.4257814773280.576707029104224
0.24111.5437299996510.62638950750507
0.25111.6703813138130.683898759341632
0.26111.8071296479640.75111036601615
0.27111.9556394462820.829584473705688
0.28112.1177951581270.921096694670687
0.29112.2956048064171.02615484792498
0.3112.4910542571321.14444062910652
0.31112.7059159517641.27389184024848
0.32112.9415243810981.41148077187167
0.33113.1985394634621.55172616142503
0.34113.4767263971681.68854640526385
0.35113.7747844711831.81459508025602
0.36114.0902560917261.92190184573039
0.37114.4195401719142.00351799876016
0.38114.7580215645432.05326290745995
0.39115.100312239432.06690496763226
0.4115.4405832534662.04273531451218
0.41115.7729524348871.98132821431376
0.42116.0918839054791.88608120342278
0.43116.392553818011.7625830390988
0.44116.6711422288561.61788334495055
0.45116.9250225905761.4596643348059
0.46117.1528355221031.29627854251167
0.47117.3544493522471.13507960980146
0.48117.5308236596990.982531594273358
0.49117.6838016244670.84361161037225
0.5117.8158615210080.721715520516384
0.51117.9298572949230.618736205178302
0.52118.0287739223090.5349238998968
0.53118.1155166801160.469565640328455
0.54118.1927461288790.420742761059189
0.55118.2627637970440.385629868445814
0.56118.32744803830.361333829494107
0.57118.3882355788590.344348629877988
0.58118.4461417550250.331916187018796
0.59118.5018110296080.321745243276086
0.6118.5555887131890.311971164162837
0.61118.6076046549570.301572227329614
0.62118.6578599141480.290058103344728
0.63118.7063081075430.277381980521949
0.64118.7529243263960.264120846942727
0.65118.7977562576470.25098249314285
0.66118.8409543505760.238764700603746
0.67118.8827803360860.22838827037625
0.68118.9235958332810.220421899656108
0.69118.9638348434620.215382877396374
0.7119.0039653650060.213378400142807
0.71119.0444460097210.214205355479833
0.72119.0856833524160.21715724381693
0.73119.1279949228680.221658674847317
0.74119.1715814624990.226720237119462
0.75119.2165105552640.231649792406222
0.76119.2627122194850.235588739766637
0.77119.3099856821540.237938212885282
0.78119.3580154708070.238095942148675
0.79119.4063942456530.235863695430637
0.8119.4546495424110.230952734809511
0.81119.5022718723390.223402420224669
0.82119.5487424366720.213388627300655
0.83119.593559939780.201112709463188
0.84119.6362673431850.186920653627759
0.85119.6764804646990.17124925808109
0.86119.7139206483870.154656846878599
0.87119.7484530385910.137668382280432
0.88119.7801303378880.121027847694903
0.89119.8092396753390.105682119542453
0.9119.8363477650540.0924498295096394
0.91119.8623370024990.0825107847469193
0.92119.8884222245260.0767966428856787
0.93119.9161336973050.0759289618205218
0.94119.947242473370.0798434509352124
0.95119.9835735081310.0873582446122868
0.96120.026565105250.0962332987774065
0.97120.076286178450.103902463882778
0.98120.1296418323950.10929995814843
0.99120.1783910620980.113864806032119
1120.21NA

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 109.5304105433 & 0.470696665404388 \tabularnewline
0.02 & 109.696503546008 & 0.346935316805064 \tabularnewline
0.03 & 109.855864387278 & 0.251893304027829 \tabularnewline
0.04 & 109.985622717689 & 0.202640846514288 \tabularnewline
0.05 & 110.086270377785 & 0.183958683679754 \tabularnewline
0.06 & 110.166448426818 & 0.176116850871037 \tabularnewline
0.07 & 110.234140047717 & 0.171730928033084 \tabularnewline
0.08 & 110.294606413063 & 0.171153520694793 \tabularnewline
0.09 & 110.351134194282 & 0.176129436598855 \tabularnewline
0.1 & 110.406017165334 & 0.187078944002356 \tabularnewline
0.11 & 110.461055087174 & 0.203341976309369 \tabularnewline
0.12 & 110.517696308122 & 0.223571330506662 \tabularnewline
0.13 & 110.57706166655 & 0.24697054021647 \tabularnewline
0.14 & 110.639971011528 & 0.272701799229677 \tabularnewline
0.15 & 110.706995485389 & 0.300228625510901 \tabularnewline
0.16 & 110.778522257417 & 0.329072488949706 \tabularnewline
0.17 & 110.854817734536 & 0.359150112900699 \tabularnewline
0.18 & 110.936083929609 & 0.390380840235244 \tabularnewline
0.19 & 111.022509013505 & 0.42295943800385 \tabularnewline
0.2 & 111.114315330463 & 0.457072672131112 \tabularnewline
0.21 & 111.211807730252 & 0.49340455397 \tabularnewline
0.22 & 111.315423331821 & 0.532884443174468 \tabularnewline
0.23 & 111.425781477328 & 0.576707029104224 \tabularnewline
0.24 & 111.543729999651 & 0.62638950750507 \tabularnewline
0.25 & 111.670381313813 & 0.683898759341632 \tabularnewline
0.26 & 111.807129647964 & 0.75111036601615 \tabularnewline
0.27 & 111.955639446282 & 0.829584473705688 \tabularnewline
0.28 & 112.117795158127 & 0.921096694670687 \tabularnewline
0.29 & 112.295604806417 & 1.02615484792498 \tabularnewline
0.3 & 112.491054257132 & 1.14444062910652 \tabularnewline
0.31 & 112.705915951764 & 1.27389184024848 \tabularnewline
0.32 & 112.941524381098 & 1.41148077187167 \tabularnewline
0.33 & 113.198539463462 & 1.55172616142503 \tabularnewline
0.34 & 113.476726397168 & 1.68854640526385 \tabularnewline
0.35 & 113.774784471183 & 1.81459508025602 \tabularnewline
0.36 & 114.090256091726 & 1.92190184573039 \tabularnewline
0.37 & 114.419540171914 & 2.00351799876016 \tabularnewline
0.38 & 114.758021564543 & 2.05326290745995 \tabularnewline
0.39 & 115.10031223943 & 2.06690496763226 \tabularnewline
0.4 & 115.440583253466 & 2.04273531451218 \tabularnewline
0.41 & 115.772952434887 & 1.98132821431376 \tabularnewline
0.42 & 116.091883905479 & 1.88608120342278 \tabularnewline
0.43 & 116.39255381801 & 1.7625830390988 \tabularnewline
0.44 & 116.671142228856 & 1.61788334495055 \tabularnewline
0.45 & 116.925022590576 & 1.4596643348059 \tabularnewline
0.46 & 117.152835522103 & 1.29627854251167 \tabularnewline
0.47 & 117.354449352247 & 1.13507960980146 \tabularnewline
0.48 & 117.530823659699 & 0.982531594273358 \tabularnewline
0.49 & 117.683801624467 & 0.84361161037225 \tabularnewline
0.5 & 117.815861521008 & 0.721715520516384 \tabularnewline
0.51 & 117.929857294923 & 0.618736205178302 \tabularnewline
0.52 & 118.028773922309 & 0.5349238998968 \tabularnewline
0.53 & 118.115516680116 & 0.469565640328455 \tabularnewline
0.54 & 118.192746128879 & 0.420742761059189 \tabularnewline
0.55 & 118.262763797044 & 0.385629868445814 \tabularnewline
0.56 & 118.3274480383 & 0.361333829494107 \tabularnewline
0.57 & 118.388235578859 & 0.344348629877988 \tabularnewline
0.58 & 118.446141755025 & 0.331916187018796 \tabularnewline
0.59 & 118.501811029608 & 0.321745243276086 \tabularnewline
0.6 & 118.555588713189 & 0.311971164162837 \tabularnewline
0.61 & 118.607604654957 & 0.301572227329614 \tabularnewline
0.62 & 118.657859914148 & 0.290058103344728 \tabularnewline
0.63 & 118.706308107543 & 0.277381980521949 \tabularnewline
0.64 & 118.752924326396 & 0.264120846942727 \tabularnewline
0.65 & 118.797756257647 & 0.25098249314285 \tabularnewline
0.66 & 118.840954350576 & 0.238764700603746 \tabularnewline
0.67 & 118.882780336086 & 0.22838827037625 \tabularnewline
0.68 & 118.923595833281 & 0.220421899656108 \tabularnewline
0.69 & 118.963834843462 & 0.215382877396374 \tabularnewline
0.7 & 119.003965365006 & 0.213378400142807 \tabularnewline
0.71 & 119.044446009721 & 0.214205355479833 \tabularnewline
0.72 & 119.085683352416 & 0.21715724381693 \tabularnewline
0.73 & 119.127994922868 & 0.221658674847317 \tabularnewline
0.74 & 119.171581462499 & 0.226720237119462 \tabularnewline
0.75 & 119.216510555264 & 0.231649792406222 \tabularnewline
0.76 & 119.262712219485 & 0.235588739766637 \tabularnewline
0.77 & 119.309985682154 & 0.237938212885282 \tabularnewline
0.78 & 119.358015470807 & 0.238095942148675 \tabularnewline
0.79 & 119.406394245653 & 0.235863695430637 \tabularnewline
0.8 & 119.454649542411 & 0.230952734809511 \tabularnewline
0.81 & 119.502271872339 & 0.223402420224669 \tabularnewline
0.82 & 119.548742436672 & 0.213388627300655 \tabularnewline
0.83 & 119.59355993978 & 0.201112709463188 \tabularnewline
0.84 & 119.636267343185 & 0.186920653627759 \tabularnewline
0.85 & 119.676480464699 & 0.17124925808109 \tabularnewline
0.86 & 119.713920648387 & 0.154656846878599 \tabularnewline
0.87 & 119.748453038591 & 0.137668382280432 \tabularnewline
0.88 & 119.780130337888 & 0.121027847694903 \tabularnewline
0.89 & 119.809239675339 & 0.105682119542453 \tabularnewline
0.9 & 119.836347765054 & 0.0924498295096394 \tabularnewline
0.91 & 119.862337002499 & 0.0825107847469193 \tabularnewline
0.92 & 119.888422224526 & 0.0767966428856787 \tabularnewline
0.93 & 119.916133697305 & 0.0759289618205218 \tabularnewline
0.94 & 119.94724247337 & 0.0798434509352124 \tabularnewline
0.95 & 119.983573508131 & 0.0873582446122868 \tabularnewline
0.96 & 120.02656510525 & 0.0962332987774065 \tabularnewline
0.97 & 120.07628617845 & 0.103902463882778 \tabularnewline
0.98 & 120.129641832395 & 0.10929995814843 \tabularnewline
0.99 & 120.178391062098 & 0.113864806032119 \tabularnewline
1 & 120.21 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295546&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]109.5304105433[/C][C]0.470696665404388[/C][/ROW]
[ROW][C]0.02[/C][C]109.696503546008[/C][C]0.346935316805064[/C][/ROW]
[ROW][C]0.03[/C][C]109.855864387278[/C][C]0.251893304027829[/C][/ROW]
[ROW][C]0.04[/C][C]109.985622717689[/C][C]0.202640846514288[/C][/ROW]
[ROW][C]0.05[/C][C]110.086270377785[/C][C]0.183958683679754[/C][/ROW]
[ROW][C]0.06[/C][C]110.166448426818[/C][C]0.176116850871037[/C][/ROW]
[ROW][C]0.07[/C][C]110.234140047717[/C][C]0.171730928033084[/C][/ROW]
[ROW][C]0.08[/C][C]110.294606413063[/C][C]0.171153520694793[/C][/ROW]
[ROW][C]0.09[/C][C]110.351134194282[/C][C]0.176129436598855[/C][/ROW]
[ROW][C]0.1[/C][C]110.406017165334[/C][C]0.187078944002356[/C][/ROW]
[ROW][C]0.11[/C][C]110.461055087174[/C][C]0.203341976309369[/C][/ROW]
[ROW][C]0.12[/C][C]110.517696308122[/C][C]0.223571330506662[/C][/ROW]
[ROW][C]0.13[/C][C]110.57706166655[/C][C]0.24697054021647[/C][/ROW]
[ROW][C]0.14[/C][C]110.639971011528[/C][C]0.272701799229677[/C][/ROW]
[ROW][C]0.15[/C][C]110.706995485389[/C][C]0.300228625510901[/C][/ROW]
[ROW][C]0.16[/C][C]110.778522257417[/C][C]0.329072488949706[/C][/ROW]
[ROW][C]0.17[/C][C]110.854817734536[/C][C]0.359150112900699[/C][/ROW]
[ROW][C]0.18[/C][C]110.936083929609[/C][C]0.390380840235244[/C][/ROW]
[ROW][C]0.19[/C][C]111.022509013505[/C][C]0.42295943800385[/C][/ROW]
[ROW][C]0.2[/C][C]111.114315330463[/C][C]0.457072672131112[/C][/ROW]
[ROW][C]0.21[/C][C]111.211807730252[/C][C]0.49340455397[/C][/ROW]
[ROW][C]0.22[/C][C]111.315423331821[/C][C]0.532884443174468[/C][/ROW]
[ROW][C]0.23[/C][C]111.425781477328[/C][C]0.576707029104224[/C][/ROW]
[ROW][C]0.24[/C][C]111.543729999651[/C][C]0.62638950750507[/C][/ROW]
[ROW][C]0.25[/C][C]111.670381313813[/C][C]0.683898759341632[/C][/ROW]
[ROW][C]0.26[/C][C]111.807129647964[/C][C]0.75111036601615[/C][/ROW]
[ROW][C]0.27[/C][C]111.955639446282[/C][C]0.829584473705688[/C][/ROW]
[ROW][C]0.28[/C][C]112.117795158127[/C][C]0.921096694670687[/C][/ROW]
[ROW][C]0.29[/C][C]112.295604806417[/C][C]1.02615484792498[/C][/ROW]
[ROW][C]0.3[/C][C]112.491054257132[/C][C]1.14444062910652[/C][/ROW]
[ROW][C]0.31[/C][C]112.705915951764[/C][C]1.27389184024848[/C][/ROW]
[ROW][C]0.32[/C][C]112.941524381098[/C][C]1.41148077187167[/C][/ROW]
[ROW][C]0.33[/C][C]113.198539463462[/C][C]1.55172616142503[/C][/ROW]
[ROW][C]0.34[/C][C]113.476726397168[/C][C]1.68854640526385[/C][/ROW]
[ROW][C]0.35[/C][C]113.774784471183[/C][C]1.81459508025602[/C][/ROW]
[ROW][C]0.36[/C][C]114.090256091726[/C][C]1.92190184573039[/C][/ROW]
[ROW][C]0.37[/C][C]114.419540171914[/C][C]2.00351799876016[/C][/ROW]
[ROW][C]0.38[/C][C]114.758021564543[/C][C]2.05326290745995[/C][/ROW]
[ROW][C]0.39[/C][C]115.10031223943[/C][C]2.06690496763226[/C][/ROW]
[ROW][C]0.4[/C][C]115.440583253466[/C][C]2.04273531451218[/C][/ROW]
[ROW][C]0.41[/C][C]115.772952434887[/C][C]1.98132821431376[/C][/ROW]
[ROW][C]0.42[/C][C]116.091883905479[/C][C]1.88608120342278[/C][/ROW]
[ROW][C]0.43[/C][C]116.39255381801[/C][C]1.7625830390988[/C][/ROW]
[ROW][C]0.44[/C][C]116.671142228856[/C][C]1.61788334495055[/C][/ROW]
[ROW][C]0.45[/C][C]116.925022590576[/C][C]1.4596643348059[/C][/ROW]
[ROW][C]0.46[/C][C]117.152835522103[/C][C]1.29627854251167[/C][/ROW]
[ROW][C]0.47[/C][C]117.354449352247[/C][C]1.13507960980146[/C][/ROW]
[ROW][C]0.48[/C][C]117.530823659699[/C][C]0.982531594273358[/C][/ROW]
[ROW][C]0.49[/C][C]117.683801624467[/C][C]0.84361161037225[/C][/ROW]
[ROW][C]0.5[/C][C]117.815861521008[/C][C]0.721715520516384[/C][/ROW]
[ROW][C]0.51[/C][C]117.929857294923[/C][C]0.618736205178302[/C][/ROW]
[ROW][C]0.52[/C][C]118.028773922309[/C][C]0.5349238998968[/C][/ROW]
[ROW][C]0.53[/C][C]118.115516680116[/C][C]0.469565640328455[/C][/ROW]
[ROW][C]0.54[/C][C]118.192746128879[/C][C]0.420742761059189[/C][/ROW]
[ROW][C]0.55[/C][C]118.262763797044[/C][C]0.385629868445814[/C][/ROW]
[ROW][C]0.56[/C][C]118.3274480383[/C][C]0.361333829494107[/C][/ROW]
[ROW][C]0.57[/C][C]118.388235578859[/C][C]0.344348629877988[/C][/ROW]
[ROW][C]0.58[/C][C]118.446141755025[/C][C]0.331916187018796[/C][/ROW]
[ROW][C]0.59[/C][C]118.501811029608[/C][C]0.321745243276086[/C][/ROW]
[ROW][C]0.6[/C][C]118.555588713189[/C][C]0.311971164162837[/C][/ROW]
[ROW][C]0.61[/C][C]118.607604654957[/C][C]0.301572227329614[/C][/ROW]
[ROW][C]0.62[/C][C]118.657859914148[/C][C]0.290058103344728[/C][/ROW]
[ROW][C]0.63[/C][C]118.706308107543[/C][C]0.277381980521949[/C][/ROW]
[ROW][C]0.64[/C][C]118.752924326396[/C][C]0.264120846942727[/C][/ROW]
[ROW][C]0.65[/C][C]118.797756257647[/C][C]0.25098249314285[/C][/ROW]
[ROW][C]0.66[/C][C]118.840954350576[/C][C]0.238764700603746[/C][/ROW]
[ROW][C]0.67[/C][C]118.882780336086[/C][C]0.22838827037625[/C][/ROW]
[ROW][C]0.68[/C][C]118.923595833281[/C][C]0.220421899656108[/C][/ROW]
[ROW][C]0.69[/C][C]118.963834843462[/C][C]0.215382877396374[/C][/ROW]
[ROW][C]0.7[/C][C]119.003965365006[/C][C]0.213378400142807[/C][/ROW]
[ROW][C]0.71[/C][C]119.044446009721[/C][C]0.214205355479833[/C][/ROW]
[ROW][C]0.72[/C][C]119.085683352416[/C][C]0.21715724381693[/C][/ROW]
[ROW][C]0.73[/C][C]119.127994922868[/C][C]0.221658674847317[/C][/ROW]
[ROW][C]0.74[/C][C]119.171581462499[/C][C]0.226720237119462[/C][/ROW]
[ROW][C]0.75[/C][C]119.216510555264[/C][C]0.231649792406222[/C][/ROW]
[ROW][C]0.76[/C][C]119.262712219485[/C][C]0.235588739766637[/C][/ROW]
[ROW][C]0.77[/C][C]119.309985682154[/C][C]0.237938212885282[/C][/ROW]
[ROW][C]0.78[/C][C]119.358015470807[/C][C]0.238095942148675[/C][/ROW]
[ROW][C]0.79[/C][C]119.406394245653[/C][C]0.235863695430637[/C][/ROW]
[ROW][C]0.8[/C][C]119.454649542411[/C][C]0.230952734809511[/C][/ROW]
[ROW][C]0.81[/C][C]119.502271872339[/C][C]0.223402420224669[/C][/ROW]
[ROW][C]0.82[/C][C]119.548742436672[/C][C]0.213388627300655[/C][/ROW]
[ROW][C]0.83[/C][C]119.59355993978[/C][C]0.201112709463188[/C][/ROW]
[ROW][C]0.84[/C][C]119.636267343185[/C][C]0.186920653627759[/C][/ROW]
[ROW][C]0.85[/C][C]119.676480464699[/C][C]0.17124925808109[/C][/ROW]
[ROW][C]0.86[/C][C]119.713920648387[/C][C]0.154656846878599[/C][/ROW]
[ROW][C]0.87[/C][C]119.748453038591[/C][C]0.137668382280432[/C][/ROW]
[ROW][C]0.88[/C][C]119.780130337888[/C][C]0.121027847694903[/C][/ROW]
[ROW][C]0.89[/C][C]119.809239675339[/C][C]0.105682119542453[/C][/ROW]
[ROW][C]0.9[/C][C]119.836347765054[/C][C]0.0924498295096394[/C][/ROW]
[ROW][C]0.91[/C][C]119.862337002499[/C][C]0.0825107847469193[/C][/ROW]
[ROW][C]0.92[/C][C]119.888422224526[/C][C]0.0767966428856787[/C][/ROW]
[ROW][C]0.93[/C][C]119.916133697305[/C][C]0.0759289618205218[/C][/ROW]
[ROW][C]0.94[/C][C]119.94724247337[/C][C]0.0798434509352124[/C][/ROW]
[ROW][C]0.95[/C][C]119.983573508131[/C][C]0.0873582446122868[/C][/ROW]
[ROW][C]0.96[/C][C]120.02656510525[/C][C]0.0962332987774065[/C][/ROW]
[ROW][C]0.97[/C][C]120.07628617845[/C][C]0.103902463882778[/C][/ROW]
[ROW][C]0.98[/C][C]120.129641832395[/C][C]0.10929995814843[/C][/ROW]
[ROW][C]0.99[/C][C]120.178391062098[/C][C]0.113864806032119[/C][/ROW]
[ROW][C]1[/C][C]120.21[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295546&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295546&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
0.01109.53041054330.470696665404388
0.02109.6965035460080.346935316805064
0.03109.8558643872780.251893304027829
0.04109.9856227176890.202640846514288
0.05110.0862703777850.183958683679754
0.06110.1664484268180.176116850871037
0.07110.2341400477170.171730928033084
0.08110.2946064130630.171153520694793
0.09110.3511341942820.176129436598855
0.1110.4060171653340.187078944002356
0.11110.4610550871740.203341976309369
0.12110.5176963081220.223571330506662
0.13110.577061666550.24697054021647
0.14110.6399710115280.272701799229677
0.15110.7069954853890.300228625510901
0.16110.7785222574170.329072488949706
0.17110.8548177345360.359150112900699
0.18110.9360839296090.390380840235244
0.19111.0225090135050.42295943800385
0.2111.1143153304630.457072672131112
0.21111.2118077302520.49340455397
0.22111.3154233318210.532884443174468
0.23111.4257814773280.576707029104224
0.24111.5437299996510.62638950750507
0.25111.6703813138130.683898759341632
0.26111.8071296479640.75111036601615
0.27111.9556394462820.829584473705688
0.28112.1177951581270.921096694670687
0.29112.2956048064171.02615484792498
0.3112.4910542571321.14444062910652
0.31112.7059159517641.27389184024848
0.32112.9415243810981.41148077187167
0.33113.1985394634621.55172616142503
0.34113.4767263971681.68854640526385
0.35113.7747844711831.81459508025602
0.36114.0902560917261.92190184573039
0.37114.4195401719142.00351799876016
0.38114.7580215645432.05326290745995
0.39115.100312239432.06690496763226
0.4115.4405832534662.04273531451218
0.41115.7729524348871.98132821431376
0.42116.0918839054791.88608120342278
0.43116.392553818011.7625830390988
0.44116.6711422288561.61788334495055
0.45116.9250225905761.4596643348059
0.46117.1528355221031.29627854251167
0.47117.3544493522471.13507960980146
0.48117.5308236596990.982531594273358
0.49117.6838016244670.84361161037225
0.5117.8158615210080.721715520516384
0.51117.9298572949230.618736205178302
0.52118.0287739223090.5349238998968
0.53118.1155166801160.469565640328455
0.54118.1927461288790.420742761059189
0.55118.2627637970440.385629868445814
0.56118.32744803830.361333829494107
0.57118.3882355788590.344348629877988
0.58118.4461417550250.331916187018796
0.59118.5018110296080.321745243276086
0.6118.5555887131890.311971164162837
0.61118.6076046549570.301572227329614
0.62118.6578599141480.290058103344728
0.63118.7063081075430.277381980521949
0.64118.7529243263960.264120846942727
0.65118.7977562576470.25098249314285
0.66118.8409543505760.238764700603746
0.67118.8827803360860.22838827037625
0.68118.9235958332810.220421899656108
0.69118.9638348434620.215382877396374
0.7119.0039653650060.213378400142807
0.71119.0444460097210.214205355479833
0.72119.0856833524160.21715724381693
0.73119.1279949228680.221658674847317
0.74119.1715814624990.226720237119462
0.75119.2165105552640.231649792406222
0.76119.2627122194850.235588739766637
0.77119.3099856821540.237938212885282
0.78119.3580154708070.238095942148675
0.79119.4063942456530.235863695430637
0.8119.4546495424110.230952734809511
0.81119.5022718723390.223402420224669
0.82119.5487424366720.213388627300655
0.83119.593559939780.201112709463188
0.84119.6362673431850.186920653627759
0.85119.6764804646990.17124925808109
0.86119.7139206483870.154656846878599
0.87119.7484530385910.137668382280432
0.88119.7801303378880.121027847694903
0.89119.8092396753390.105682119542453
0.9119.8363477650540.0924498295096394
0.91119.8623370024990.0825107847469193
0.92119.8884222245260.0767966428856787
0.93119.9161336973050.0759289618205218
0.94119.947242473370.0798434509352124
0.95119.9835735081310.0873582446122868
0.96120.026565105250.0962332987774065
0.97120.076286178450.103902463882778
0.98120.1296418323950.10929995814843
0.99120.1783910620980.113864806032119
1120.21NA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 1 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 1 ; 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')