FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 06 Oct 2016 21:04:11 +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/Oct/06/t147578436239jbp4ggezcrknm.htm/, Retrieved Sat, 04 May 2024 09:19:33 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 09:19:33 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92.1
93.91
95.46
94.54
95.63
96.32
96.42
96.95
96.52
96.82
96.4
96.69
96.72
98.57
98.6
96.44
97.09
97.36
97.74
96.78
96.45
97.66
98.69
98.21
97.33
99.05
100.09
98.1
97.68
97.44
99.19
98.32
97.83
97.71
97.51
97.62
96.49
98.92
99.69
97.06
97.63
97.97
99.01
97.89
97.23
96.93
96.97
97.68
97.73
99.03
100.35
99.38
99.3
99.77
101.11
101.15
101.59
100.95
99.23
100.41

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.51514953737041.56218879580473
0.0293.11904877653921.29479704503562
0.0393.73930113318141.08921176203415
0.0494.28399243452520.963530194794991
0.0594.73378237294160.878030994945472
0.0695.10076575573510.798464618043464
0.0795.40148747555470.712671779517974
0.0895.64827178853710.620816142577101
0.0995.84942761536660.527319391826675
0.196.01130913936880.436932794223206
0.1196.13971539151920.354296975734336
0.1296.24040698424150.283565749253684
0.1396.31909170514140.227727608625246
0.1496.38118634025670.18784716132196
0.1596.43153832337640.163731075771642
0.1696.47420789296660.152850400160582
0.1796.51235783689940.151336986137947
0.1896.54825768355250.155467474927326
0.1996.58338095543360.161933513743244
0.296.61856008244530.168864369936839
0.2196.65416250229110.175035821915716
0.2296.69025874643640.180044331740763
0.2396.72676377410960.183827220108354
0.2496.76354277574210.186667461869281
0.2596.80048031930940.189082442522963
0.2696.8375166757940.191430123787683
0.2796.87465779568210.194298318905877
0.2896.91196632557460.197871473438322
0.2996.94954084450820.202016734902061
0.396.98748963699230.206986120715506
0.3197.02590413907230.212439080398381
0.3297.06483590748480.217859299605551
0.3397.10427969297690.22306568126674
0.3497.14416401796640.227339593032487
0.3597.18434961607830.23041586574638
0.3697.22463523226980.231991279991566
0.3797.26476964698680.231733604330821
0.3897.30446839784840.229457351531023
0.3997.34343351904120.225189555405252
0.497.38137465929440.219023632874415
0.4197.41803010679160.21132581638207
0.4297.45318647055460.202245135646477
0.4397.48669598431980.192316613390176
0.4497.51849058115330.181810830567779
0.4597.54859203692590.171714463045588
0.4697.57711762309450.162290569908039
0.4797.60428087591520.154395670033035
0.4897.63038730322750.148346441046199
0.4997.65582511453780.145089136450373
0.597.68105135658360.144949735952557
0.5197.70657413006680.148239811948799
0.5297.73293181390620.154906947057067
0.5397.76067039778420.164983249013209
0.5497.79032010371590.178127606109792
0.5597.82237246279260.194173208820681
0.5697.85725892001180.212243443003753
0.5797.89533189346870.232030583673802
0.5897.9368490412880.252734054468507
0.5997.98196131298540.273633817041343
0.698.03070519616560.294192577076717
0.6198.0829994219520.313622377538082
0.6298.13864626645440.331257461986474
0.6398.19733748339620.34655517008571
0.6498.25866482786680.358949675651159
0.6598.32213508435260.368032748381654
0.6698.38718948726930.373531481766362
0.6798.45322739848610.375167161690394
0.6898.51963404644920.373154872519872
0.6998.58581198727130.367490848252584
0.798.65121567554980.35856957371722
0.7198.71538811222850.346983702062235
0.7298.77799799081930.333471252904981
0.7398.83887516051360.318855856888716
0.7498.8980416678140.30430148063057
0.7598.95573523782890.290856805927523
0.7699.01242190423030.279928892631994
0.7799.0687946556310.272649741543782
0.7899.12575548364310.270122920289872
0.7999.18437916207120.273004545402825
0.899.24585857660910.281691892594181
0.8199.31143361927240.295956288856499
0.8299.38230866327890.314985935845231
0.8399.45956726388520.337575910291877
0.8499.54409618181710.362081888497622
0.8599.63653229349570.386767768289953
0.8699.73724256718580.409947784523229
0.8799.84633596596070.430168548453389
0.8899.9636861062520.446527278575211
0.89100.0889206461110.458497284636772
0.9100.22132495830.465741687619852
0.91100.3596427149490.467193393902489
0.92100.501863433370.460279603034357
0.93100.6452606877170.440999116105213
0.94100.7870796230740.405770324794974
0.95100.926093426540.35564169384675
0.96101.064347152970.302156445252467
0.97101.2066894560060.272591610716691
0.98101.3545630235160.297343645546422
0.99101.4940355407830.367244689457179

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.5151495373704 & 1.56218879580473 \tabularnewline
0.02 & 93.1190487765392 & 1.29479704503562 \tabularnewline
0.03 & 93.7393011331814 & 1.08921176203415 \tabularnewline
0.04 & 94.2839924345252 & 0.963530194794991 \tabularnewline
0.05 & 94.7337823729416 & 0.878030994945472 \tabularnewline
0.06 & 95.1007657557351 & 0.798464618043464 \tabularnewline
0.07 & 95.4014874755547 & 0.712671779517974 \tabularnewline
0.08 & 95.6482717885371 & 0.620816142577101 \tabularnewline
0.09 & 95.8494276153666 & 0.527319391826675 \tabularnewline
0.1 & 96.0113091393688 & 0.436932794223206 \tabularnewline
0.11 & 96.1397153915192 & 0.354296975734336 \tabularnewline
0.12 & 96.2404069842415 & 0.283565749253684 \tabularnewline
0.13 & 96.3190917051414 & 0.227727608625246 \tabularnewline
0.14 & 96.3811863402567 & 0.18784716132196 \tabularnewline
0.15 & 96.4315383233764 & 0.163731075771642 \tabularnewline
0.16 & 96.4742078929666 & 0.152850400160582 \tabularnewline
0.17 & 96.5123578368994 & 0.151336986137947 \tabularnewline
0.18 & 96.5482576835525 & 0.155467474927326 \tabularnewline
0.19 & 96.5833809554336 & 0.161933513743244 \tabularnewline
0.2 & 96.6185600824453 & 0.168864369936839 \tabularnewline
0.21 & 96.6541625022911 & 0.175035821915716 \tabularnewline
0.22 & 96.6902587464364 & 0.180044331740763 \tabularnewline
0.23 & 96.7267637741096 & 0.183827220108354 \tabularnewline
0.24 & 96.7635427757421 & 0.186667461869281 \tabularnewline
0.25 & 96.8004803193094 & 0.189082442522963 \tabularnewline
0.26 & 96.837516675794 & 0.191430123787683 \tabularnewline
0.27 & 96.8746577956821 & 0.194298318905877 \tabularnewline
0.28 & 96.9119663255746 & 0.197871473438322 \tabularnewline
0.29 & 96.9495408445082 & 0.202016734902061 \tabularnewline
0.3 & 96.9874896369923 & 0.206986120715506 \tabularnewline
0.31 & 97.0259041390723 & 0.212439080398381 \tabularnewline
0.32 & 97.0648359074848 & 0.217859299605551 \tabularnewline
0.33 & 97.1042796929769 & 0.22306568126674 \tabularnewline
0.34 & 97.1441640179664 & 0.227339593032487 \tabularnewline
0.35 & 97.1843496160783 & 0.23041586574638 \tabularnewline
0.36 & 97.2246352322698 & 0.231991279991566 \tabularnewline
0.37 & 97.2647696469868 & 0.231733604330821 \tabularnewline
0.38 & 97.3044683978484 & 0.229457351531023 \tabularnewline
0.39 & 97.3434335190412 & 0.225189555405252 \tabularnewline
0.4 & 97.3813746592944 & 0.219023632874415 \tabularnewline
0.41 & 97.4180301067916 & 0.21132581638207 \tabularnewline
0.42 & 97.4531864705546 & 0.202245135646477 \tabularnewline
0.43 & 97.4866959843198 & 0.192316613390176 \tabularnewline
0.44 & 97.5184905811533 & 0.181810830567779 \tabularnewline
0.45 & 97.5485920369259 & 0.171714463045588 \tabularnewline
0.46 & 97.5771176230945 & 0.162290569908039 \tabularnewline
0.47 & 97.6042808759152 & 0.154395670033035 \tabularnewline
0.48 & 97.6303873032275 & 0.148346441046199 \tabularnewline
0.49 & 97.6558251145378 & 0.145089136450373 \tabularnewline
0.5 & 97.6810513565836 & 0.144949735952557 \tabularnewline
0.51 & 97.7065741300668 & 0.148239811948799 \tabularnewline
0.52 & 97.7329318139062 & 0.154906947057067 \tabularnewline
0.53 & 97.7606703977842 & 0.164983249013209 \tabularnewline
0.54 & 97.7903201037159 & 0.178127606109792 \tabularnewline
0.55 & 97.8223724627926 & 0.194173208820681 \tabularnewline
0.56 & 97.8572589200118 & 0.212243443003753 \tabularnewline
0.57 & 97.8953318934687 & 0.232030583673802 \tabularnewline
0.58 & 97.936849041288 & 0.252734054468507 \tabularnewline
0.59 & 97.9819613129854 & 0.273633817041343 \tabularnewline
0.6 & 98.0307051961656 & 0.294192577076717 \tabularnewline
0.61 & 98.082999421952 & 0.313622377538082 \tabularnewline
0.62 & 98.1386462664544 & 0.331257461986474 \tabularnewline
0.63 & 98.1973374833962 & 0.34655517008571 \tabularnewline
0.64 & 98.2586648278668 & 0.358949675651159 \tabularnewline
0.65 & 98.3221350843526 & 0.368032748381654 \tabularnewline
0.66 & 98.3871894872693 & 0.373531481766362 \tabularnewline
0.67 & 98.4532273984861 & 0.375167161690394 \tabularnewline
0.68 & 98.5196340464492 & 0.373154872519872 \tabularnewline
0.69 & 98.5858119872713 & 0.367490848252584 \tabularnewline
0.7 & 98.6512156755498 & 0.35856957371722 \tabularnewline
0.71 & 98.7153881122285 & 0.346983702062235 \tabularnewline
0.72 & 98.7779979908193 & 0.333471252904981 \tabularnewline
0.73 & 98.8388751605136 & 0.318855856888716 \tabularnewline
0.74 & 98.898041667814 & 0.30430148063057 \tabularnewline
0.75 & 98.9557352378289 & 0.290856805927523 \tabularnewline
0.76 & 99.0124219042303 & 0.279928892631994 \tabularnewline
0.77 & 99.068794655631 & 0.272649741543782 \tabularnewline
0.78 & 99.1257554836431 & 0.270122920289872 \tabularnewline
0.79 & 99.1843791620712 & 0.273004545402825 \tabularnewline
0.8 & 99.2458585766091 & 0.281691892594181 \tabularnewline
0.81 & 99.3114336192724 & 0.295956288856499 \tabularnewline
0.82 & 99.3823086632789 & 0.314985935845231 \tabularnewline
0.83 & 99.4595672638852 & 0.337575910291877 \tabularnewline
0.84 & 99.5440961818171 & 0.362081888497622 \tabularnewline
0.85 & 99.6365322934957 & 0.386767768289953 \tabularnewline
0.86 & 99.7372425671858 & 0.409947784523229 \tabularnewline
0.87 & 99.8463359659607 & 0.430168548453389 \tabularnewline
0.88 & 99.963686106252 & 0.446527278575211 \tabularnewline
0.89 & 100.088920646111 & 0.458497284636772 \tabularnewline
0.9 & 100.2213249583 & 0.465741687619852 \tabularnewline
0.91 & 100.359642714949 & 0.467193393902489 \tabularnewline
0.92 & 100.50186343337 & 0.460279603034357 \tabularnewline
0.93 & 100.645260687717 & 0.440999116105213 \tabularnewline
0.94 & 100.787079623074 & 0.405770324794974 \tabularnewline
0.95 & 100.92609342654 & 0.35564169384675 \tabularnewline
0.96 & 101.06434715297 & 0.302156445252467 \tabularnewline
0.97 & 101.206689456006 & 0.272591610716691 \tabularnewline
0.98 & 101.354563023516 & 0.297343645546422 \tabularnewline
0.99 & 101.494035540783 & 0.367244689457179 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]92.5151495373704[/C][C]1.56218879580473[/C][/ROW]
[ROW][C]0.02[/C][C]93.1190487765392[/C][C]1.29479704503562[/C][/ROW]
[ROW][C]0.03[/C][C]93.7393011331814[/C][C]1.08921176203415[/C][/ROW]
[ROW][C]0.04[/C][C]94.2839924345252[/C][C]0.963530194794991[/C][/ROW]
[ROW][C]0.05[/C][C]94.7337823729416[/C][C]0.878030994945472[/C][/ROW]
[ROW][C]0.06[/C][C]95.1007657557351[/C][C]0.798464618043464[/C][/ROW]
[ROW][C]0.07[/C][C]95.4014874755547[/C][C]0.712671779517974[/C][/ROW]
[ROW][C]0.08[/C][C]95.6482717885371[/C][C]0.620816142577101[/C][/ROW]
[ROW][C]0.09[/C][C]95.8494276153666[/C][C]0.527319391826675[/C][/ROW]
[ROW][C]0.1[/C][C]96.0113091393688[/C][C]0.436932794223206[/C][/ROW]
[ROW][C]0.11[/C][C]96.1397153915192[/C][C]0.354296975734336[/C][/ROW]
[ROW][C]0.12[/C][C]96.2404069842415[/C][C]0.283565749253684[/C][/ROW]
[ROW][C]0.13[/C][C]96.3190917051414[/C][C]0.227727608625246[/C][/ROW]
[ROW][C]0.14[/C][C]96.3811863402567[/C][C]0.18784716132196[/C][/ROW]
[ROW][C]0.15[/C][C]96.4315383233764[/C][C]0.163731075771642[/C][/ROW]
[ROW][C]0.16[/C][C]96.4742078929666[/C][C]0.152850400160582[/C][/ROW]
[ROW][C]0.17[/C][C]96.5123578368994[/C][C]0.151336986137947[/C][/ROW]
[ROW][C]0.18[/C][C]96.5482576835525[/C][C]0.155467474927326[/C][/ROW]
[ROW][C]0.19[/C][C]96.5833809554336[/C][C]0.161933513743244[/C][/ROW]
[ROW][C]0.2[/C][C]96.6185600824453[/C][C]0.168864369936839[/C][/ROW]
[ROW][C]0.21[/C][C]96.6541625022911[/C][C]0.175035821915716[/C][/ROW]
[ROW][C]0.22[/C][C]96.6902587464364[/C][C]0.180044331740763[/C][/ROW]
[ROW][C]0.23[/C][C]96.7267637741096[/C][C]0.183827220108354[/C][/ROW]
[ROW][C]0.24[/C][C]96.7635427757421[/C][C]0.186667461869281[/C][/ROW]
[ROW][C]0.25[/C][C]96.8004803193094[/C][C]0.189082442522963[/C][/ROW]
[ROW][C]0.26[/C][C]96.837516675794[/C][C]0.191430123787683[/C][/ROW]
[ROW][C]0.27[/C][C]96.8746577956821[/C][C]0.194298318905877[/C][/ROW]
[ROW][C]0.28[/C][C]96.9119663255746[/C][C]0.197871473438322[/C][/ROW]
[ROW][C]0.29[/C][C]96.9495408445082[/C][C]0.202016734902061[/C][/ROW]
[ROW][C]0.3[/C][C]96.9874896369923[/C][C]0.206986120715506[/C][/ROW]
[ROW][C]0.31[/C][C]97.0259041390723[/C][C]0.212439080398381[/C][/ROW]
[ROW][C]0.32[/C][C]97.0648359074848[/C][C]0.217859299605551[/C][/ROW]
[ROW][C]0.33[/C][C]97.1042796929769[/C][C]0.22306568126674[/C][/ROW]
[ROW][C]0.34[/C][C]97.1441640179664[/C][C]0.227339593032487[/C][/ROW]
[ROW][C]0.35[/C][C]97.1843496160783[/C][C]0.23041586574638[/C][/ROW]
[ROW][C]0.36[/C][C]97.2246352322698[/C][C]0.231991279991566[/C][/ROW]
[ROW][C]0.37[/C][C]97.2647696469868[/C][C]0.231733604330821[/C][/ROW]
[ROW][C]0.38[/C][C]97.3044683978484[/C][C]0.229457351531023[/C][/ROW]
[ROW][C]0.39[/C][C]97.3434335190412[/C][C]0.225189555405252[/C][/ROW]
[ROW][C]0.4[/C][C]97.3813746592944[/C][C]0.219023632874415[/C][/ROW]
[ROW][C]0.41[/C][C]97.4180301067916[/C][C]0.21132581638207[/C][/ROW]
[ROW][C]0.42[/C][C]97.4531864705546[/C][C]0.202245135646477[/C][/ROW]
[ROW][C]0.43[/C][C]97.4866959843198[/C][C]0.192316613390176[/C][/ROW]
[ROW][C]0.44[/C][C]97.5184905811533[/C][C]0.181810830567779[/C][/ROW]
[ROW][C]0.45[/C][C]97.5485920369259[/C][C]0.171714463045588[/C][/ROW]
[ROW][C]0.46[/C][C]97.5771176230945[/C][C]0.162290569908039[/C][/ROW]
[ROW][C]0.47[/C][C]97.6042808759152[/C][C]0.154395670033035[/C][/ROW]
[ROW][C]0.48[/C][C]97.6303873032275[/C][C]0.148346441046199[/C][/ROW]
[ROW][C]0.49[/C][C]97.6558251145378[/C][C]0.145089136450373[/C][/ROW]
[ROW][C]0.5[/C][C]97.6810513565836[/C][C]0.144949735952557[/C][/ROW]
[ROW][C]0.51[/C][C]97.7065741300668[/C][C]0.148239811948799[/C][/ROW]
[ROW][C]0.52[/C][C]97.7329318139062[/C][C]0.154906947057067[/C][/ROW]
[ROW][C]0.53[/C][C]97.7606703977842[/C][C]0.164983249013209[/C][/ROW]
[ROW][C]0.54[/C][C]97.7903201037159[/C][C]0.178127606109792[/C][/ROW]
[ROW][C]0.55[/C][C]97.8223724627926[/C][C]0.194173208820681[/C][/ROW]
[ROW][C]0.56[/C][C]97.8572589200118[/C][C]0.212243443003753[/C][/ROW]
[ROW][C]0.57[/C][C]97.8953318934687[/C][C]0.232030583673802[/C][/ROW]
[ROW][C]0.58[/C][C]97.936849041288[/C][C]0.252734054468507[/C][/ROW]
[ROW][C]0.59[/C][C]97.9819613129854[/C][C]0.273633817041343[/C][/ROW]
[ROW][C]0.6[/C][C]98.0307051961656[/C][C]0.294192577076717[/C][/ROW]
[ROW][C]0.61[/C][C]98.082999421952[/C][C]0.313622377538082[/C][/ROW]
[ROW][C]0.62[/C][C]98.1386462664544[/C][C]0.331257461986474[/C][/ROW]
[ROW][C]0.63[/C][C]98.1973374833962[/C][C]0.34655517008571[/C][/ROW]
[ROW][C]0.64[/C][C]98.2586648278668[/C][C]0.358949675651159[/C][/ROW]
[ROW][C]0.65[/C][C]98.3221350843526[/C][C]0.368032748381654[/C][/ROW]
[ROW][C]0.66[/C][C]98.3871894872693[/C][C]0.373531481766362[/C][/ROW]
[ROW][C]0.67[/C][C]98.4532273984861[/C][C]0.375167161690394[/C][/ROW]
[ROW][C]0.68[/C][C]98.5196340464492[/C][C]0.373154872519872[/C][/ROW]
[ROW][C]0.69[/C][C]98.5858119872713[/C][C]0.367490848252584[/C][/ROW]
[ROW][C]0.7[/C][C]98.6512156755498[/C][C]0.35856957371722[/C][/ROW]
[ROW][C]0.71[/C][C]98.7153881122285[/C][C]0.346983702062235[/C][/ROW]
[ROW][C]0.72[/C][C]98.7779979908193[/C][C]0.333471252904981[/C][/ROW]
[ROW][C]0.73[/C][C]98.8388751605136[/C][C]0.318855856888716[/C][/ROW]
[ROW][C]0.74[/C][C]98.898041667814[/C][C]0.30430148063057[/C][/ROW]
[ROW][C]0.75[/C][C]98.9557352378289[/C][C]0.290856805927523[/C][/ROW]
[ROW][C]0.76[/C][C]99.0124219042303[/C][C]0.279928892631994[/C][/ROW]
[ROW][C]0.77[/C][C]99.068794655631[/C][C]0.272649741543782[/C][/ROW]
[ROW][C]0.78[/C][C]99.1257554836431[/C][C]0.270122920289872[/C][/ROW]
[ROW][C]0.79[/C][C]99.1843791620712[/C][C]0.273004545402825[/C][/ROW]
[ROW][C]0.8[/C][C]99.2458585766091[/C][C]0.281691892594181[/C][/ROW]
[ROW][C]0.81[/C][C]99.3114336192724[/C][C]0.295956288856499[/C][/ROW]
[ROW][C]0.82[/C][C]99.3823086632789[/C][C]0.314985935845231[/C][/ROW]
[ROW][C]0.83[/C][C]99.4595672638852[/C][C]0.337575910291877[/C][/ROW]
[ROW][C]0.84[/C][C]99.5440961818171[/C][C]0.362081888497622[/C][/ROW]
[ROW][C]0.85[/C][C]99.6365322934957[/C][C]0.386767768289953[/C][/ROW]
[ROW][C]0.86[/C][C]99.7372425671858[/C][C]0.409947784523229[/C][/ROW]
[ROW][C]0.87[/C][C]99.8463359659607[/C][C]0.430168548453389[/C][/ROW]
[ROW][C]0.88[/C][C]99.963686106252[/C][C]0.446527278575211[/C][/ROW]
[ROW][C]0.89[/C][C]100.088920646111[/C][C]0.458497284636772[/C][/ROW]
[ROW][C]0.9[/C][C]100.2213249583[/C][C]0.465741687619852[/C][/ROW]
[ROW][C]0.91[/C][C]100.359642714949[/C][C]0.467193393902489[/C][/ROW]
[ROW][C]0.92[/C][C]100.50186343337[/C][C]0.460279603034357[/C][/ROW]
[ROW][C]0.93[/C][C]100.645260687717[/C][C]0.440999116105213[/C][/ROW]
[ROW][C]0.94[/C][C]100.787079623074[/C][C]0.405770324794974[/C][/ROW]
[ROW][C]0.95[/C][C]100.92609342654[/C][C]0.35564169384675[/C][/ROW]
[ROW][C]0.96[/C][C]101.06434715297[/C][C]0.302156445252467[/C][/ROW]
[ROW][C]0.97[/C][C]101.206689456006[/C][C]0.272591610716691[/C][/ROW]
[ROW][C]0.98[/C][C]101.354563023516[/C][C]0.297343645546422[/C][/ROW]
[ROW][C]0.99[/C][C]101.494035540783[/C][C]0.367244689457179[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0192.51514953737041.56218879580473
0.0293.11904877653921.29479704503562
0.0393.73930113318141.08921176203415
0.0494.28399243452520.963530194794991
0.0594.73378237294160.878030994945472
0.0695.10076575573510.798464618043464
0.0795.40148747555470.712671779517974
0.0895.64827178853710.620816142577101
0.0995.84942761536660.527319391826675
0.196.01130913936880.436932794223206
0.1196.13971539151920.354296975734336
0.1296.24040698424150.283565749253684
0.1396.31909170514140.227727608625246
0.1496.38118634025670.18784716132196
0.1596.43153832337640.163731075771642
0.1696.47420789296660.152850400160582
0.1796.51235783689940.151336986137947
0.1896.54825768355250.155467474927326
0.1996.58338095543360.161933513743244
0.296.61856008244530.168864369936839
0.2196.65416250229110.175035821915716
0.2296.69025874643640.180044331740763
0.2396.72676377410960.183827220108354
0.2496.76354277574210.186667461869281
0.2596.80048031930940.189082442522963
0.2696.8375166757940.191430123787683
0.2796.87465779568210.194298318905877
0.2896.91196632557460.197871473438322
0.2996.94954084450820.202016734902061
0.396.98748963699230.206986120715506
0.3197.02590413907230.212439080398381
0.3297.06483590748480.217859299605551
0.3397.10427969297690.22306568126674
0.3497.14416401796640.227339593032487
0.3597.18434961607830.23041586574638
0.3697.22463523226980.231991279991566
0.3797.26476964698680.231733604330821
0.3897.30446839784840.229457351531023
0.3997.34343351904120.225189555405252
0.497.38137465929440.219023632874415
0.4197.41803010679160.21132581638207
0.4297.45318647055460.202245135646477
0.4397.48669598431980.192316613390176
0.4497.51849058115330.181810830567779
0.4597.54859203692590.171714463045588
0.4697.57711762309450.162290569908039
0.4797.60428087591520.154395670033035
0.4897.63038730322750.148346441046199
0.4997.65582511453780.145089136450373
0.597.68105135658360.144949735952557
0.5197.70657413006680.148239811948799
0.5297.73293181390620.154906947057067
0.5397.76067039778420.164983249013209
0.5497.79032010371590.178127606109792
0.5597.82237246279260.194173208820681
0.5697.85725892001180.212243443003753
0.5797.89533189346870.232030583673802
0.5897.9368490412880.252734054468507
0.5997.98196131298540.273633817041343
0.698.03070519616560.294192577076717
0.6198.0829994219520.313622377538082
0.6298.13864626645440.331257461986474
0.6398.19733748339620.34655517008571
0.6498.25866482786680.358949675651159
0.6598.32213508435260.368032748381654
0.6698.38718948726930.373531481766362
0.6798.45322739848610.375167161690394
0.6898.51963404644920.373154872519872
0.6998.58581198727130.367490848252584
0.798.65121567554980.35856957371722
0.7198.71538811222850.346983702062235
0.7298.77799799081930.333471252904981
0.7398.83887516051360.318855856888716
0.7498.8980416678140.30430148063057
0.7598.95573523782890.290856805927523
0.7699.01242190423030.279928892631994
0.7799.0687946556310.272649741543782
0.7899.12575548364310.270122920289872
0.7999.18437916207120.273004545402825
0.899.24585857660910.281691892594181
0.8199.31143361927240.295956288856499
0.8299.38230866327890.314985935845231
0.8399.45956726388520.337575910291877
0.8499.54409618181710.362081888497622
0.8599.63653229349570.386767768289953
0.8699.73724256718580.409947784523229
0.8799.84633596596070.430168548453389
0.8899.9636861062520.446527278575211
0.89100.0889206461110.458497284636772
0.9100.22132495830.465741687619852
0.91100.3596427149490.467193393902489
0.92100.501863433370.460279603034357
0.93100.6452606877170.440999116105213
0.94100.7870796230740.405770324794974
0.95100.926093426540.35564169384675
0.96101.064347152970.302156445252467
0.97101.2066894560060.272591610716691
0.98101.3545630235160.297343645546422
0.99101.4940355407830.367244689457179


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')