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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 16 Dec 2007 07:10:13 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Dec/16/t1197813235ro076k4agx088qt.htm/, Retrieved Sat, 30 May 2026 15:55:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4180, Retrieved Sat, 30 May 2026 15:55:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact405

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] [Harell-Davis Quan...] [2007-12-16 14:10:13] [014bfc073eb4f6c1ae65a07cc44c50c0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
112,7
118,4
108,1
105,4
114,6
106,9
115,9
109,8
101,8
114,2
110,8
108,4
127,5
128,6
116,6
127,4
105
108,3
125
111,6
106,5
130,3
115
116,1
134
126,5
125,8
136,4
114,9
110,9
125,5
116,8
116,8
125,5
104,2
115,1
132,8
123,3
124,8
122
117,4
117,9
137,4
114,6
124,7
129,6
109,4
120,9
134,9
136,3
133,2
127,2
122,7
120,5
137,8
119,1
124,3
134,3
121,7
125

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4180&T=0

[TABLE]
[ROW][C]Summary of compuational 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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4180&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4180&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01102.3382081344582.04298570510818
0.02103.1094573812811.63885768403430
0.03103.888183515611.32427773174065
0.04104.5653950143291.17062834353446
0.05105.1333489965261.14631913320964
0.06105.6244041929621.18434355699643
0.07106.0706979762791.23477782102156
0.08106.4915939054371.27413034282474
0.09106.8955625183031.29723501217475
0.1107.2855088166911.30977532656283
0.11107.6628825360841.32150399544807
0.12108.0297227952891.34155798720705
0.13108.3891512293751.37641765895538
0.14108.7450219855561.42783845101335
0.15109.1012696418391.4938097582224
0.16109.4612807628571.56979241755795
0.17109.8274397207051.65028830712984
0.18110.2008821528441.72940394943655
0.19110.5814278365421.80136749192917
0.2110.9676472794191.86057847148171
0.21111.3570251680561.90201746035527
0.22111.7462000523091.92146763871497
0.23112.1312691911151.91639821025179
0.24112.5081448320561.88600182285401
0.25112.8729362102131.83208917534269
0.26113.2223180475701.75853930763649
0.27113.5538394501711.67117940715702
0.28113.8661316037181.57710067752460
0.29114.1589884189551.48372237970411
0.3114.4333169106401.39769902244033
0.31114.6909771367581.32463886912825
0.32114.9345488613841.268325913327
0.33115.1670698574361.23044213475840
0.34115.3917881172161.21141394867123
0.35115.6119591808951.20990604245201
0.36115.8307041225271.22458971021169
0.37116.0509277569931.25397424596082
0.38116.2752840043721.29665969301327
0.39116.5061683155731.35148895803899
0.4116.7457162004291.41773916203421
0.41116.9957912970761.49408083639674
0.42117.2579541619761.57871498711891
0.43117.5334117174271.66939565650063
0.44117.8229548991041.76335545608969
0.45118.1268969157151.85703356211314
0.46118.4450259014091.94708842515541
0.47118.7765837027672.02954554023194
0.48119.1202779167602.10132757517916
0.49119.4743283795792.15953329325082
0.5119.8365435520822.20202827604415
0.51120.2044179461892.22727228731795
0.52120.5752397463022.23481666858385
0.53120.9461983598052.22463088912421
0.54121.3144844055042.19726089344946
0.55121.6773787163642.15383742951187
0.56122.0323310936742.09537988784654
0.57122.3770326107402.02362686856584
0.58122.7094863452221.94037980367036
0.59123.0280801880111.84789926509489
0.6123.3316621491891.74860966624692
0.61123.6196142591111.64570863350737
0.62123.8919170152091.54287114352668
0.63124.1491936748331.44391345231225
0.64124.3927235760231.35293092288080
0.65124.6244165457051.27400264605541
0.66124.8467460632391.21093939868829
0.67125.0626461883191.16627136113013
0.68125.2753847572151.14180473928735
0.69125.4884311239811.13766236819022
0.7125.7053389688501.15306193996021
0.71125.9296620899221.18654363397254
0.72126.1649131810291.23616914838846
0.73126.4145630985381.3005343938317
0.74126.6820630753441.37880601508386
0.75126.9708580262751.47062972707916
0.76127.2843496233641.57595131575832
0.77127.6257674520141.69383703446747
0.78127.9979186731401.82186672896945
0.79128.4028125431631.95602487476195
0.8128.8411939694172.08875153654599
0.81129.3120639168792.2105016584841
0.82129.8123034023612.30985661579931
0.83130.3365379317012.37504280337552
0.84130.8773655292082.39621421694126
0.85131.4260127356412.36731497713029
0.86131.9733783625312.28831529284540
0.87132.5112915494472.16629303333381
0.88133.0336887385342.0146066987117
0.89133.5373627727441.85085668689888
0.9134.0220152716051.69239946535767
0.91134.4895693001911.55072288001017
0.92134.9430022515251.42749712697773
0.93135.3851585394431.31512570032977
0.94135.8178759888311.20365370656747
0.95136.2412247458591.08782491612218
0.96136.6519758636350.966143013638616
0.97137.0402665046090.830435931496136
0.98137.3847867898880.668151396479662
0.99137.6506685241110.498621099324222

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 102.338208134458 & 2.04298570510818 \tabularnewline
0.02 & 103.109457381281 & 1.63885768403430 \tabularnewline
0.03 & 103.88818351561 & 1.32427773174065 \tabularnewline
0.04 & 104.565395014329 & 1.17062834353446 \tabularnewline
0.05 & 105.133348996526 & 1.14631913320964 \tabularnewline
0.06 & 105.624404192962 & 1.18434355699643 \tabularnewline
0.07 & 106.070697976279 & 1.23477782102156 \tabularnewline
0.08 & 106.491593905437 & 1.27413034282474 \tabularnewline
0.09 & 106.895562518303 & 1.29723501217475 \tabularnewline
0.1 & 107.285508816691 & 1.30977532656283 \tabularnewline
0.11 & 107.662882536084 & 1.32150399544807 \tabularnewline
0.12 & 108.029722795289 & 1.34155798720705 \tabularnewline
0.13 & 108.389151229375 & 1.37641765895538 \tabularnewline
0.14 & 108.745021985556 & 1.42783845101335 \tabularnewline
0.15 & 109.101269641839 & 1.4938097582224 \tabularnewline
0.16 & 109.461280762857 & 1.56979241755795 \tabularnewline
0.17 & 109.827439720705 & 1.65028830712984 \tabularnewline
0.18 & 110.200882152844 & 1.72940394943655 \tabularnewline
0.19 & 110.581427836542 & 1.80136749192917 \tabularnewline
0.2 & 110.967647279419 & 1.86057847148171 \tabularnewline
0.21 & 111.357025168056 & 1.90201746035527 \tabularnewline
0.22 & 111.746200052309 & 1.92146763871497 \tabularnewline
0.23 & 112.131269191115 & 1.91639821025179 \tabularnewline
0.24 & 112.508144832056 & 1.88600182285401 \tabularnewline
0.25 & 112.872936210213 & 1.83208917534269 \tabularnewline
0.26 & 113.222318047570 & 1.75853930763649 \tabularnewline
0.27 & 113.553839450171 & 1.67117940715702 \tabularnewline
0.28 & 113.866131603718 & 1.57710067752460 \tabularnewline
0.29 & 114.158988418955 & 1.48372237970411 \tabularnewline
0.3 & 114.433316910640 & 1.39769902244033 \tabularnewline
0.31 & 114.690977136758 & 1.32463886912825 \tabularnewline
0.32 & 114.934548861384 & 1.268325913327 \tabularnewline
0.33 & 115.167069857436 & 1.23044213475840 \tabularnewline
0.34 & 115.391788117216 & 1.21141394867123 \tabularnewline
0.35 & 115.611959180895 & 1.20990604245201 \tabularnewline
0.36 & 115.830704122527 & 1.22458971021169 \tabularnewline
0.37 & 116.050927756993 & 1.25397424596082 \tabularnewline
0.38 & 116.275284004372 & 1.29665969301327 \tabularnewline
0.39 & 116.506168315573 & 1.35148895803899 \tabularnewline
0.4 & 116.745716200429 & 1.41773916203421 \tabularnewline
0.41 & 116.995791297076 & 1.49408083639674 \tabularnewline
0.42 & 117.257954161976 & 1.57871498711891 \tabularnewline
0.43 & 117.533411717427 & 1.66939565650063 \tabularnewline
0.44 & 117.822954899104 & 1.76335545608969 \tabularnewline
0.45 & 118.126896915715 & 1.85703356211314 \tabularnewline
0.46 & 118.445025901409 & 1.94708842515541 \tabularnewline
0.47 & 118.776583702767 & 2.02954554023194 \tabularnewline
0.48 & 119.120277916760 & 2.10132757517916 \tabularnewline
0.49 & 119.474328379579 & 2.15953329325082 \tabularnewline
0.5 & 119.836543552082 & 2.20202827604415 \tabularnewline
0.51 & 120.204417946189 & 2.22727228731795 \tabularnewline
0.52 & 120.575239746302 & 2.23481666858385 \tabularnewline
0.53 & 120.946198359805 & 2.22463088912421 \tabularnewline
0.54 & 121.314484405504 & 2.19726089344946 \tabularnewline
0.55 & 121.677378716364 & 2.15383742951187 \tabularnewline
0.56 & 122.032331093674 & 2.09537988784654 \tabularnewline
0.57 & 122.377032610740 & 2.02362686856584 \tabularnewline
0.58 & 122.709486345222 & 1.94037980367036 \tabularnewline
0.59 & 123.028080188011 & 1.84789926509489 \tabularnewline
0.6 & 123.331662149189 & 1.74860966624692 \tabularnewline
0.61 & 123.619614259111 & 1.64570863350737 \tabularnewline
0.62 & 123.891917015209 & 1.54287114352668 \tabularnewline
0.63 & 124.149193674833 & 1.44391345231225 \tabularnewline
0.64 & 124.392723576023 & 1.35293092288080 \tabularnewline
0.65 & 124.624416545705 & 1.27400264605541 \tabularnewline
0.66 & 124.846746063239 & 1.21093939868829 \tabularnewline
0.67 & 125.062646188319 & 1.16627136113013 \tabularnewline
0.68 & 125.275384757215 & 1.14180473928735 \tabularnewline
0.69 & 125.488431123981 & 1.13766236819022 \tabularnewline
0.7 & 125.705338968850 & 1.15306193996021 \tabularnewline
0.71 & 125.929662089922 & 1.18654363397254 \tabularnewline
0.72 & 126.164913181029 & 1.23616914838846 \tabularnewline
0.73 & 126.414563098538 & 1.3005343938317 \tabularnewline
0.74 & 126.682063075344 & 1.37880601508386 \tabularnewline
0.75 & 126.970858026275 & 1.47062972707916 \tabularnewline
0.76 & 127.284349623364 & 1.57595131575832 \tabularnewline
0.77 & 127.625767452014 & 1.69383703446747 \tabularnewline
0.78 & 127.997918673140 & 1.82186672896945 \tabularnewline
0.79 & 128.402812543163 & 1.95602487476195 \tabularnewline
0.8 & 128.841193969417 & 2.08875153654599 \tabularnewline
0.81 & 129.312063916879 & 2.2105016584841 \tabularnewline
0.82 & 129.812303402361 & 2.30985661579931 \tabularnewline
0.83 & 130.336537931701 & 2.37504280337552 \tabularnewline
0.84 & 130.877365529208 & 2.39621421694126 \tabularnewline
0.85 & 131.426012735641 & 2.36731497713029 \tabularnewline
0.86 & 131.973378362531 & 2.28831529284540 \tabularnewline
0.87 & 132.511291549447 & 2.16629303333381 \tabularnewline
0.88 & 133.033688738534 & 2.0146066987117 \tabularnewline
0.89 & 133.537362772744 & 1.85085668689888 \tabularnewline
0.9 & 134.022015271605 & 1.69239946535767 \tabularnewline
0.91 & 134.489569300191 & 1.55072288001017 \tabularnewline
0.92 & 134.943002251525 & 1.42749712697773 \tabularnewline
0.93 & 135.385158539443 & 1.31512570032977 \tabularnewline
0.94 & 135.817875988831 & 1.20365370656747 \tabularnewline
0.95 & 136.241224745859 & 1.08782491612218 \tabularnewline
0.96 & 136.651975863635 & 0.966143013638616 \tabularnewline
0.97 & 137.040266504609 & 0.830435931496136 \tabularnewline
0.98 & 137.384786789888 & 0.668151396479662 \tabularnewline
0.99 & 137.650668524111 & 0.498621099324222 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4180&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]102.338208134458[/C][C]2.04298570510818[/C][/ROW]
[ROW][C]0.02[/C][C]103.109457381281[/C][C]1.63885768403430[/C][/ROW]
[ROW][C]0.03[/C][C]103.88818351561[/C][C]1.32427773174065[/C][/ROW]
[ROW][C]0.04[/C][C]104.565395014329[/C][C]1.17062834353446[/C][/ROW]
[ROW][C]0.05[/C][C]105.133348996526[/C][C]1.14631913320964[/C][/ROW]
[ROW][C]0.06[/C][C]105.624404192962[/C][C]1.18434355699643[/C][/ROW]
[ROW][C]0.07[/C][C]106.070697976279[/C][C]1.23477782102156[/C][/ROW]
[ROW][C]0.08[/C][C]106.491593905437[/C][C]1.27413034282474[/C][/ROW]
[ROW][C]0.09[/C][C]106.895562518303[/C][C]1.29723501217475[/C][/ROW]
[ROW][C]0.1[/C][C]107.285508816691[/C][C]1.30977532656283[/C][/ROW]
[ROW][C]0.11[/C][C]107.662882536084[/C][C]1.32150399544807[/C][/ROW]
[ROW][C]0.12[/C][C]108.029722795289[/C][C]1.34155798720705[/C][/ROW]
[ROW][C]0.13[/C][C]108.389151229375[/C][C]1.37641765895538[/C][/ROW]
[ROW][C]0.14[/C][C]108.745021985556[/C][C]1.42783845101335[/C][/ROW]
[ROW][C]0.15[/C][C]109.101269641839[/C][C]1.4938097582224[/C][/ROW]
[ROW][C]0.16[/C][C]109.461280762857[/C][C]1.56979241755795[/C][/ROW]
[ROW][C]0.17[/C][C]109.827439720705[/C][C]1.65028830712984[/C][/ROW]
[ROW][C]0.18[/C][C]110.200882152844[/C][C]1.72940394943655[/C][/ROW]
[ROW][C]0.19[/C][C]110.581427836542[/C][C]1.80136749192917[/C][/ROW]
[ROW][C]0.2[/C][C]110.967647279419[/C][C]1.86057847148171[/C][/ROW]
[ROW][C]0.21[/C][C]111.357025168056[/C][C]1.90201746035527[/C][/ROW]
[ROW][C]0.22[/C][C]111.746200052309[/C][C]1.92146763871497[/C][/ROW]
[ROW][C]0.23[/C][C]112.131269191115[/C][C]1.91639821025179[/C][/ROW]
[ROW][C]0.24[/C][C]112.508144832056[/C][C]1.88600182285401[/C][/ROW]
[ROW][C]0.25[/C][C]112.872936210213[/C][C]1.83208917534269[/C][/ROW]
[ROW][C]0.26[/C][C]113.222318047570[/C][C]1.75853930763649[/C][/ROW]
[ROW][C]0.27[/C][C]113.553839450171[/C][C]1.67117940715702[/C][/ROW]
[ROW][C]0.28[/C][C]113.866131603718[/C][C]1.57710067752460[/C][/ROW]
[ROW][C]0.29[/C][C]114.158988418955[/C][C]1.48372237970411[/C][/ROW]
[ROW][C]0.3[/C][C]114.433316910640[/C][C]1.39769902244033[/C][/ROW]
[ROW][C]0.31[/C][C]114.690977136758[/C][C]1.32463886912825[/C][/ROW]
[ROW][C]0.32[/C][C]114.934548861384[/C][C]1.268325913327[/C][/ROW]
[ROW][C]0.33[/C][C]115.167069857436[/C][C]1.23044213475840[/C][/ROW]
[ROW][C]0.34[/C][C]115.391788117216[/C][C]1.21141394867123[/C][/ROW]
[ROW][C]0.35[/C][C]115.611959180895[/C][C]1.20990604245201[/C][/ROW]
[ROW][C]0.36[/C][C]115.830704122527[/C][C]1.22458971021169[/C][/ROW]
[ROW][C]0.37[/C][C]116.050927756993[/C][C]1.25397424596082[/C][/ROW]
[ROW][C]0.38[/C][C]116.275284004372[/C][C]1.29665969301327[/C][/ROW]
[ROW][C]0.39[/C][C]116.506168315573[/C][C]1.35148895803899[/C][/ROW]
[ROW][C]0.4[/C][C]116.745716200429[/C][C]1.41773916203421[/C][/ROW]
[ROW][C]0.41[/C][C]116.995791297076[/C][C]1.49408083639674[/C][/ROW]
[ROW][C]0.42[/C][C]117.257954161976[/C][C]1.57871498711891[/C][/ROW]
[ROW][C]0.43[/C][C]117.533411717427[/C][C]1.66939565650063[/C][/ROW]
[ROW][C]0.44[/C][C]117.822954899104[/C][C]1.76335545608969[/C][/ROW]
[ROW][C]0.45[/C][C]118.126896915715[/C][C]1.85703356211314[/C][/ROW]
[ROW][C]0.46[/C][C]118.445025901409[/C][C]1.94708842515541[/C][/ROW]
[ROW][C]0.47[/C][C]118.776583702767[/C][C]2.02954554023194[/C][/ROW]
[ROW][C]0.48[/C][C]119.120277916760[/C][C]2.10132757517916[/C][/ROW]
[ROW][C]0.49[/C][C]119.474328379579[/C][C]2.15953329325082[/C][/ROW]
[ROW][C]0.5[/C][C]119.836543552082[/C][C]2.20202827604415[/C][/ROW]
[ROW][C]0.51[/C][C]120.204417946189[/C][C]2.22727228731795[/C][/ROW]
[ROW][C]0.52[/C][C]120.575239746302[/C][C]2.23481666858385[/C][/ROW]
[ROW][C]0.53[/C][C]120.946198359805[/C][C]2.22463088912421[/C][/ROW]
[ROW][C]0.54[/C][C]121.314484405504[/C][C]2.19726089344946[/C][/ROW]
[ROW][C]0.55[/C][C]121.677378716364[/C][C]2.15383742951187[/C][/ROW]
[ROW][C]0.56[/C][C]122.032331093674[/C][C]2.09537988784654[/C][/ROW]
[ROW][C]0.57[/C][C]122.377032610740[/C][C]2.02362686856584[/C][/ROW]
[ROW][C]0.58[/C][C]122.709486345222[/C][C]1.94037980367036[/C][/ROW]
[ROW][C]0.59[/C][C]123.028080188011[/C][C]1.84789926509489[/C][/ROW]
[ROW][C]0.6[/C][C]123.331662149189[/C][C]1.74860966624692[/C][/ROW]
[ROW][C]0.61[/C][C]123.619614259111[/C][C]1.64570863350737[/C][/ROW]
[ROW][C]0.62[/C][C]123.891917015209[/C][C]1.54287114352668[/C][/ROW]
[ROW][C]0.63[/C][C]124.149193674833[/C][C]1.44391345231225[/C][/ROW]
[ROW][C]0.64[/C][C]124.392723576023[/C][C]1.35293092288080[/C][/ROW]
[ROW][C]0.65[/C][C]124.624416545705[/C][C]1.27400264605541[/C][/ROW]
[ROW][C]0.66[/C][C]124.846746063239[/C][C]1.21093939868829[/C][/ROW]
[ROW][C]0.67[/C][C]125.062646188319[/C][C]1.16627136113013[/C][/ROW]
[ROW][C]0.68[/C][C]125.275384757215[/C][C]1.14180473928735[/C][/ROW]
[ROW][C]0.69[/C][C]125.488431123981[/C][C]1.13766236819022[/C][/ROW]
[ROW][C]0.7[/C][C]125.705338968850[/C][C]1.15306193996021[/C][/ROW]
[ROW][C]0.71[/C][C]125.929662089922[/C][C]1.18654363397254[/C][/ROW]
[ROW][C]0.72[/C][C]126.164913181029[/C][C]1.23616914838846[/C][/ROW]
[ROW][C]0.73[/C][C]126.414563098538[/C][C]1.3005343938317[/C][/ROW]
[ROW][C]0.74[/C][C]126.682063075344[/C][C]1.37880601508386[/C][/ROW]
[ROW][C]0.75[/C][C]126.970858026275[/C][C]1.47062972707916[/C][/ROW]
[ROW][C]0.76[/C][C]127.284349623364[/C][C]1.57595131575832[/C][/ROW]
[ROW][C]0.77[/C][C]127.625767452014[/C][C]1.69383703446747[/C][/ROW]
[ROW][C]0.78[/C][C]127.997918673140[/C][C]1.82186672896945[/C][/ROW]
[ROW][C]0.79[/C][C]128.402812543163[/C][C]1.95602487476195[/C][/ROW]
[ROW][C]0.8[/C][C]128.841193969417[/C][C]2.08875153654599[/C][/ROW]
[ROW][C]0.81[/C][C]129.312063916879[/C][C]2.2105016584841[/C][/ROW]
[ROW][C]0.82[/C][C]129.812303402361[/C][C]2.30985661579931[/C][/ROW]
[ROW][C]0.83[/C][C]130.336537931701[/C][C]2.37504280337552[/C][/ROW]
[ROW][C]0.84[/C][C]130.877365529208[/C][C]2.39621421694126[/C][/ROW]
[ROW][C]0.85[/C][C]131.426012735641[/C][C]2.36731497713029[/C][/ROW]
[ROW][C]0.86[/C][C]131.973378362531[/C][C]2.28831529284540[/C][/ROW]
[ROW][C]0.87[/C][C]132.511291549447[/C][C]2.16629303333381[/C][/ROW]
[ROW][C]0.88[/C][C]133.033688738534[/C][C]2.0146066987117[/C][/ROW]
[ROW][C]0.89[/C][C]133.537362772744[/C][C]1.85085668689888[/C][/ROW]
[ROW][C]0.9[/C][C]134.022015271605[/C][C]1.69239946535767[/C][/ROW]
[ROW][C]0.91[/C][C]134.489569300191[/C][C]1.55072288001017[/C][/ROW]
[ROW][C]0.92[/C][C]134.943002251525[/C][C]1.42749712697773[/C][/ROW]
[ROW][C]0.93[/C][C]135.385158539443[/C][C]1.31512570032977[/C][/ROW]
[ROW][C]0.94[/C][C]135.817875988831[/C][C]1.20365370656747[/C][/ROW]
[ROW][C]0.95[/C][C]136.241224745859[/C][C]1.08782491612218[/C][/ROW]
[ROW][C]0.96[/C][C]136.651975863635[/C][C]0.966143013638616[/C][/ROW]
[ROW][C]0.97[/C][C]137.040266504609[/C][C]0.830435931496136[/C][/ROW]
[ROW][C]0.98[/C][C]137.384786789888[/C][C]0.668151396479662[/C][/ROW]
[ROW][C]0.99[/C][C]137.650668524111[/C][C]0.498621099324222[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4180&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4180&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
0.01102.3382081344582.04298570510818
0.02103.1094573812811.63885768403430
0.03103.888183515611.32427773174065
0.04104.5653950143291.17062834353446
0.05105.1333489965261.14631913320964
0.06105.6244041929621.18434355699643
0.07106.0706979762791.23477782102156
0.08106.4915939054371.27413034282474
0.09106.8955625183031.29723501217475
0.1107.2855088166911.30977532656283
0.11107.6628825360841.32150399544807
0.12108.0297227952891.34155798720705
0.13108.3891512293751.37641765895538
0.14108.7450219855561.42783845101335
0.15109.1012696418391.4938097582224
0.16109.4612807628571.56979241755795
0.17109.8274397207051.65028830712984
0.18110.2008821528441.72940394943655
0.19110.5814278365421.80136749192917
0.2110.9676472794191.86057847148171
0.21111.3570251680561.90201746035527
0.22111.7462000523091.92146763871497
0.23112.1312691911151.91639821025179
0.24112.5081448320561.88600182285401
0.25112.8729362102131.83208917534269
0.26113.2223180475701.75853930763649
0.27113.5538394501711.67117940715702
0.28113.8661316037181.57710067752460
0.29114.1589884189551.48372237970411
0.3114.4333169106401.39769902244033
0.31114.6909771367581.32463886912825
0.32114.9345488613841.268325913327
0.33115.1670698574361.23044213475840
0.34115.3917881172161.21141394867123
0.35115.6119591808951.20990604245201
0.36115.8307041225271.22458971021169
0.37116.0509277569931.25397424596082
0.38116.2752840043721.29665969301327
0.39116.5061683155731.35148895803899
0.4116.7457162004291.41773916203421
0.41116.9957912970761.49408083639674
0.42117.2579541619761.57871498711891
0.43117.5334117174271.66939565650063
0.44117.8229548991041.76335545608969
0.45118.1268969157151.85703356211314
0.46118.4450259014091.94708842515541
0.47118.7765837027672.02954554023194
0.48119.1202779167602.10132757517916
0.49119.4743283795792.15953329325082
0.5119.8365435520822.20202827604415
0.51120.2044179461892.22727228731795
0.52120.5752397463022.23481666858385
0.53120.9461983598052.22463088912421
0.54121.3144844055042.19726089344946
0.55121.6773787163642.15383742951187
0.56122.0323310936742.09537988784654
0.57122.3770326107402.02362686856584
0.58122.7094863452221.94037980367036
0.59123.0280801880111.84789926509489
0.6123.3316621491891.74860966624692
0.61123.6196142591111.64570863350737
0.62123.8919170152091.54287114352668
0.63124.1491936748331.44391345231225
0.64124.3927235760231.35293092288080
0.65124.6244165457051.27400264605541
0.66124.8467460632391.21093939868829
0.67125.0626461883191.16627136113013
0.68125.2753847572151.14180473928735
0.69125.4884311239811.13766236819022
0.7125.7053389688501.15306193996021
0.71125.9296620899221.18654363397254
0.72126.1649131810291.23616914838846
0.73126.4145630985381.3005343938317
0.74126.6820630753441.37880601508386
0.75126.9708580262751.47062972707916
0.76127.2843496233641.57595131575832
0.77127.6257674520141.69383703446747
0.78127.9979186731401.82186672896945
0.79128.4028125431631.95602487476195
0.8128.8411939694172.08875153654599
0.81129.3120639168792.2105016584841
0.82129.8123034023612.30985661579931
0.83130.3365379317012.37504280337552
0.84130.8773655292082.39621421694126
0.85131.4260127356412.36731497713029
0.86131.9733783625312.28831529284540
0.87132.5112915494472.16629303333381
0.88133.0336887385342.0146066987117
0.89133.5373627727441.85085668689888
0.9134.0220152716051.69239946535767
0.91134.4895693001911.55072288001017
0.92134.9430022515251.42749712697773
0.93135.3851585394431.31512570032977
0.94135.8178759888311.20365370656747
0.95136.2412247458591.08782491612218
0.96136.6519758636350.966143013638616
0.97137.0402665046090.830435931496136
0.98137.3847867898880.668151396479662
0.99137.6506685241110.498621099324222


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')