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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 computationThu, 06 Oct 2016 17:14:53 +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/t1475770681n6d1mbwq0l2cal0.htm/, Retrieved Sat, 04 May 2024 09:37:38 +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 09:37:38 +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 
95.31
93.47
98.92
101.21
95.19
90.95
93.09
90.16
91.86
88.82
91.58
94.9
99.85
98.03
93.46
94.15
93.47
88.98
89.26
84.62
82.7
84.37
89.52
89.82
93.08
98.02
97.49
97.35
99.33
96.92
96.42
93.94
89.95
94.38
95.13
96.01
100.37
99.57
100.53
106.51
106.22
106.93
103.24
98.54
95.6
91.97
93.99
96.53
102.37
98.81
96.88
100.4
91.54
90.36
94.28
84.17
86.65
84.09
90.2
92.47
96.92
98.3
94.27
105.58
99.89
97.46
99.21
97.72
99.31
102.57
102.16
99.12

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.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]'Sir Ronald Aylmer Fisher' @ fisher.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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0183.06700000472441.0771521506001
0.0283.56461708656220.771591411106562
0.0384.039567241560.724496650571078
0.0484.48735682409270.975786970572868
0.0584.96584227458471.34552361863761
0.0685.51260658135871.68121977246822
0.0786.12212403552851.88900283199827
0.0886.7587030361271.93270293279014
0.0987.37787847788751.82896253319782
0.187.94295554282461.6281516338046
0.1188.43300486490261.38905188600897
0.1288.84334457405651.16146711237414
0.1389.18148745785820.976575075501896
0.1489.46165212186020.847528600025628
0.1589.6999806492240.773489574541863
0.1689.91137444608450.745245543731756
0.1790.10793090053340.750902285849859
0.1890.29852484535220.778571856247708
0.1990.48902884016220.81812825136441
0.290.68280394788610.861530396936298
0.2190.88125625284240.902939381616227
0.2291.08436760606540.938296091594681
0.2391.29116404252890.964979385948663
0.2491.5001049370640.982511046619836
0.2591.70938443916450.990270256149889
0.2691.91714639932180.988721484226765
0.2792.12162554656610.978667355262974
0.2892.32123630093520.960579204822499
0.2992.51463220105180.935487593299975
0.392.70075317186440.904561048776761
0.3192.87886796415070.869486576130466
0.3293.04860963033440.832345713898268
0.3393.20999640630570.795350435692249
0.3493.3634300418210.760746090283589
0.3593.50966735538480.730482000135543
0.3693.64976620034460.706264391469567
0.3793.78501174228250.689277854890464
0.3893.91683151272910.680021374651925
0.3994.04670786410150.678875695789028
0.494.17609485432310.685284693329289
0.4194.30634424363640.698341229046506
0.4294.43864306602730.717175055898105
0.4394.57396363931740.740365026905785
0.4494.71302602195690.766210927589844
0.4594.85627270157790.793369455124125
0.4695.00385552012420.820056934401318
0.4795.15563530097970.844761409944106
0.4895.31119512244330.865898565241827
0.4995.46986840961570.88225093243826
0.595.63078269918330.892685150113474
0.5195.79291884512750.896653014462745
0.5295.95518355572410.89369972357874
0.5396.11649075440880.884087752482958
0.5496.27584488873840.868544320334307
0.5596.43241765877430.848366593764005
0.5696.58560929562060.824982699595884
0.5796.73508678077730.800172756893983
0.5896.88079411725380.775616411216596
0.5997.02293340915280.752822134428718
0.697.16191932350160.73305466209136
0.6197.29831276864170.716797099133189
0.6297.43274184276850.704273792245769
0.6397.5658191468940.695300652523794
0.6497.69806458689320.688891944475559
0.6597.82984212449030.68405634466985
0.6697.96131783933030.67936826021766
0.6798.09244519512870.673758144930106
0.6898.22298139709040.665898711184604
0.6998.35253591196180.655205443935403
0.798.48064844125030.641113440370986
0.7198.60688910550960.624168552530441
0.7298.73096905808080.604904295108956
0.7398.85284645135130.584991831742574
0.7498.97281210544550.5664183823356
0.7599.09154255321260.551255763959316
0.7699.21011554223970.54141729055807
0.7799.32999312692360.538678115034101
0.7899.45298686550420.544116537513473
0.7999.58122368943240.558251993232462
0.899.71712542359410.581604222763072
0.8199.86339861778690.614406988684487
0.82100.0230097639490.657267634705299
0.83100.1991079804190.710327155124005
0.84100.3948724095870.772937882783491
0.85100.6133198762720.842822768385445
0.86100.8572020055950.915949950288818
0.87101.1291999014160.98790862859138
0.88101.432591744141.05688574612887
0.89101.7723153447491.12700124636108
0.9102.1558448491761.20904835947878
0.91102.5927312963571.31561127065366
0.92103.0914980903941.44672350876098
0.93103.653475532361.57465674146581
0.94104.2654097396511.64243224287023
0.95104.895468383521.58486459036072
0.96105.498074771771.36807872614511
0.97106.0283827878531.02710961083001
0.98106.4564967183270.674264015226991
0.99106.7645567498960.45739005693159

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 83.0670000047244 & 1.0771521506001 \tabularnewline
0.02 & 83.5646170865622 & 0.771591411106562 \tabularnewline
0.03 & 84.03956724156 & 0.724496650571078 \tabularnewline
0.04 & 84.4873568240927 & 0.975786970572868 \tabularnewline
0.05 & 84.9658422745847 & 1.34552361863761 \tabularnewline
0.06 & 85.5126065813587 & 1.68121977246822 \tabularnewline
0.07 & 86.1221240355285 & 1.88900283199827 \tabularnewline
0.08 & 86.758703036127 & 1.93270293279014 \tabularnewline
0.09 & 87.3778784778875 & 1.82896253319782 \tabularnewline
0.1 & 87.9429555428246 & 1.6281516338046 \tabularnewline
0.11 & 88.4330048649026 & 1.38905188600897 \tabularnewline
0.12 & 88.8433445740565 & 1.16146711237414 \tabularnewline
0.13 & 89.1814874578582 & 0.976575075501896 \tabularnewline
0.14 & 89.4616521218602 & 0.847528600025628 \tabularnewline
0.15 & 89.699980649224 & 0.773489574541863 \tabularnewline
0.16 & 89.9113744460845 & 0.745245543731756 \tabularnewline
0.17 & 90.1079309005334 & 0.750902285849859 \tabularnewline
0.18 & 90.2985248453522 & 0.778571856247708 \tabularnewline
0.19 & 90.4890288401622 & 0.81812825136441 \tabularnewline
0.2 & 90.6828039478861 & 0.861530396936298 \tabularnewline
0.21 & 90.8812562528424 & 0.902939381616227 \tabularnewline
0.22 & 91.0843676060654 & 0.938296091594681 \tabularnewline
0.23 & 91.2911640425289 & 0.964979385948663 \tabularnewline
0.24 & 91.500104937064 & 0.982511046619836 \tabularnewline
0.25 & 91.7093844391645 & 0.990270256149889 \tabularnewline
0.26 & 91.9171463993218 & 0.988721484226765 \tabularnewline
0.27 & 92.1216255465661 & 0.978667355262974 \tabularnewline
0.28 & 92.3212363009352 & 0.960579204822499 \tabularnewline
0.29 & 92.5146322010518 & 0.935487593299975 \tabularnewline
0.3 & 92.7007531718644 & 0.904561048776761 \tabularnewline
0.31 & 92.8788679641507 & 0.869486576130466 \tabularnewline
0.32 & 93.0486096303344 & 0.832345713898268 \tabularnewline
0.33 & 93.2099964063057 & 0.795350435692249 \tabularnewline
0.34 & 93.363430041821 & 0.760746090283589 \tabularnewline
0.35 & 93.5096673553848 & 0.730482000135543 \tabularnewline
0.36 & 93.6497662003446 & 0.706264391469567 \tabularnewline
0.37 & 93.7850117422825 & 0.689277854890464 \tabularnewline
0.38 & 93.9168315127291 & 0.680021374651925 \tabularnewline
0.39 & 94.0467078641015 & 0.678875695789028 \tabularnewline
0.4 & 94.1760948543231 & 0.685284693329289 \tabularnewline
0.41 & 94.3063442436364 & 0.698341229046506 \tabularnewline
0.42 & 94.4386430660273 & 0.717175055898105 \tabularnewline
0.43 & 94.5739636393174 & 0.740365026905785 \tabularnewline
0.44 & 94.7130260219569 & 0.766210927589844 \tabularnewline
0.45 & 94.8562727015779 & 0.793369455124125 \tabularnewline
0.46 & 95.0038555201242 & 0.820056934401318 \tabularnewline
0.47 & 95.1556353009797 & 0.844761409944106 \tabularnewline
0.48 & 95.3111951224433 & 0.865898565241827 \tabularnewline
0.49 & 95.4698684096157 & 0.88225093243826 \tabularnewline
0.5 & 95.6307826991833 & 0.892685150113474 \tabularnewline
0.51 & 95.7929188451275 & 0.896653014462745 \tabularnewline
0.52 & 95.9551835557241 & 0.89369972357874 \tabularnewline
0.53 & 96.1164907544088 & 0.884087752482958 \tabularnewline
0.54 & 96.2758448887384 & 0.868544320334307 \tabularnewline
0.55 & 96.4324176587743 & 0.848366593764005 \tabularnewline
0.56 & 96.5856092956206 & 0.824982699595884 \tabularnewline
0.57 & 96.7350867807773 & 0.800172756893983 \tabularnewline
0.58 & 96.8807941172538 & 0.775616411216596 \tabularnewline
0.59 & 97.0229334091528 & 0.752822134428718 \tabularnewline
0.6 & 97.1619193235016 & 0.73305466209136 \tabularnewline
0.61 & 97.2983127686417 & 0.716797099133189 \tabularnewline
0.62 & 97.4327418427685 & 0.704273792245769 \tabularnewline
0.63 & 97.565819146894 & 0.695300652523794 \tabularnewline
0.64 & 97.6980645868932 & 0.688891944475559 \tabularnewline
0.65 & 97.8298421244903 & 0.68405634466985 \tabularnewline
0.66 & 97.9613178393303 & 0.67936826021766 \tabularnewline
0.67 & 98.0924451951287 & 0.673758144930106 \tabularnewline
0.68 & 98.2229813970904 & 0.665898711184604 \tabularnewline
0.69 & 98.3525359119618 & 0.655205443935403 \tabularnewline
0.7 & 98.4806484412503 & 0.641113440370986 \tabularnewline
0.71 & 98.6068891055096 & 0.624168552530441 \tabularnewline
0.72 & 98.7309690580808 & 0.604904295108956 \tabularnewline
0.73 & 98.8528464513513 & 0.584991831742574 \tabularnewline
0.74 & 98.9728121054455 & 0.5664183823356 \tabularnewline
0.75 & 99.0915425532126 & 0.551255763959316 \tabularnewline
0.76 & 99.2101155422397 & 0.54141729055807 \tabularnewline
0.77 & 99.3299931269236 & 0.538678115034101 \tabularnewline
0.78 & 99.4529868655042 & 0.544116537513473 \tabularnewline
0.79 & 99.5812236894324 & 0.558251993232462 \tabularnewline
0.8 & 99.7171254235941 & 0.581604222763072 \tabularnewline
0.81 & 99.8633986177869 & 0.614406988684487 \tabularnewline
0.82 & 100.023009763949 & 0.657267634705299 \tabularnewline
0.83 & 100.199107980419 & 0.710327155124005 \tabularnewline
0.84 & 100.394872409587 & 0.772937882783491 \tabularnewline
0.85 & 100.613319876272 & 0.842822768385445 \tabularnewline
0.86 & 100.857202005595 & 0.915949950288818 \tabularnewline
0.87 & 101.129199901416 & 0.98790862859138 \tabularnewline
0.88 & 101.43259174414 & 1.05688574612887 \tabularnewline
0.89 & 101.772315344749 & 1.12700124636108 \tabularnewline
0.9 & 102.155844849176 & 1.20904835947878 \tabularnewline
0.91 & 102.592731296357 & 1.31561127065366 \tabularnewline
0.92 & 103.091498090394 & 1.44672350876098 \tabularnewline
0.93 & 103.65347553236 & 1.57465674146581 \tabularnewline
0.94 & 104.265409739651 & 1.64243224287023 \tabularnewline
0.95 & 104.89546838352 & 1.58486459036072 \tabularnewline
0.96 & 105.49807477177 & 1.36807872614511 \tabularnewline
0.97 & 106.028382787853 & 1.02710961083001 \tabularnewline
0.98 & 106.456496718327 & 0.674264015226991 \tabularnewline
0.99 & 106.764556749896 & 0.45739005693159 \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]83.0670000047244[/C][C]1.0771521506001[/C][/ROW]
[ROW][C]0.02[/C][C]83.5646170865622[/C][C]0.771591411106562[/C][/ROW]
[ROW][C]0.03[/C][C]84.03956724156[/C][C]0.724496650571078[/C][/ROW]
[ROW][C]0.04[/C][C]84.4873568240927[/C][C]0.975786970572868[/C][/ROW]
[ROW][C]0.05[/C][C]84.9658422745847[/C][C]1.34552361863761[/C][/ROW]
[ROW][C]0.06[/C][C]85.5126065813587[/C][C]1.68121977246822[/C][/ROW]
[ROW][C]0.07[/C][C]86.1221240355285[/C][C]1.88900283199827[/C][/ROW]
[ROW][C]0.08[/C][C]86.758703036127[/C][C]1.93270293279014[/C][/ROW]
[ROW][C]0.09[/C][C]87.3778784778875[/C][C]1.82896253319782[/C][/ROW]
[ROW][C]0.1[/C][C]87.9429555428246[/C][C]1.6281516338046[/C][/ROW]
[ROW][C]0.11[/C][C]88.4330048649026[/C][C]1.38905188600897[/C][/ROW]
[ROW][C]0.12[/C][C]88.8433445740565[/C][C]1.16146711237414[/C][/ROW]
[ROW][C]0.13[/C][C]89.1814874578582[/C][C]0.976575075501896[/C][/ROW]
[ROW][C]0.14[/C][C]89.4616521218602[/C][C]0.847528600025628[/C][/ROW]
[ROW][C]0.15[/C][C]89.699980649224[/C][C]0.773489574541863[/C][/ROW]
[ROW][C]0.16[/C][C]89.9113744460845[/C][C]0.745245543731756[/C][/ROW]
[ROW][C]0.17[/C][C]90.1079309005334[/C][C]0.750902285849859[/C][/ROW]
[ROW][C]0.18[/C][C]90.2985248453522[/C][C]0.778571856247708[/C][/ROW]
[ROW][C]0.19[/C][C]90.4890288401622[/C][C]0.81812825136441[/C][/ROW]
[ROW][C]0.2[/C][C]90.6828039478861[/C][C]0.861530396936298[/C][/ROW]
[ROW][C]0.21[/C][C]90.8812562528424[/C][C]0.902939381616227[/C][/ROW]
[ROW][C]0.22[/C][C]91.0843676060654[/C][C]0.938296091594681[/C][/ROW]
[ROW][C]0.23[/C][C]91.2911640425289[/C][C]0.964979385948663[/C][/ROW]
[ROW][C]0.24[/C][C]91.500104937064[/C][C]0.982511046619836[/C][/ROW]
[ROW][C]0.25[/C][C]91.7093844391645[/C][C]0.990270256149889[/C][/ROW]
[ROW][C]0.26[/C][C]91.9171463993218[/C][C]0.988721484226765[/C][/ROW]
[ROW][C]0.27[/C][C]92.1216255465661[/C][C]0.978667355262974[/C][/ROW]
[ROW][C]0.28[/C][C]92.3212363009352[/C][C]0.960579204822499[/C][/ROW]
[ROW][C]0.29[/C][C]92.5146322010518[/C][C]0.935487593299975[/C][/ROW]
[ROW][C]0.3[/C][C]92.7007531718644[/C][C]0.904561048776761[/C][/ROW]
[ROW][C]0.31[/C][C]92.8788679641507[/C][C]0.869486576130466[/C][/ROW]
[ROW][C]0.32[/C][C]93.0486096303344[/C][C]0.832345713898268[/C][/ROW]
[ROW][C]0.33[/C][C]93.2099964063057[/C][C]0.795350435692249[/C][/ROW]
[ROW][C]0.34[/C][C]93.363430041821[/C][C]0.760746090283589[/C][/ROW]
[ROW][C]0.35[/C][C]93.5096673553848[/C][C]0.730482000135543[/C][/ROW]
[ROW][C]0.36[/C][C]93.6497662003446[/C][C]0.706264391469567[/C][/ROW]
[ROW][C]0.37[/C][C]93.7850117422825[/C][C]0.689277854890464[/C][/ROW]
[ROW][C]0.38[/C][C]93.9168315127291[/C][C]0.680021374651925[/C][/ROW]
[ROW][C]0.39[/C][C]94.0467078641015[/C][C]0.678875695789028[/C][/ROW]
[ROW][C]0.4[/C][C]94.1760948543231[/C][C]0.685284693329289[/C][/ROW]
[ROW][C]0.41[/C][C]94.3063442436364[/C][C]0.698341229046506[/C][/ROW]
[ROW][C]0.42[/C][C]94.4386430660273[/C][C]0.717175055898105[/C][/ROW]
[ROW][C]0.43[/C][C]94.5739636393174[/C][C]0.740365026905785[/C][/ROW]
[ROW][C]0.44[/C][C]94.7130260219569[/C][C]0.766210927589844[/C][/ROW]
[ROW][C]0.45[/C][C]94.8562727015779[/C][C]0.793369455124125[/C][/ROW]
[ROW][C]0.46[/C][C]95.0038555201242[/C][C]0.820056934401318[/C][/ROW]
[ROW][C]0.47[/C][C]95.1556353009797[/C][C]0.844761409944106[/C][/ROW]
[ROW][C]0.48[/C][C]95.3111951224433[/C][C]0.865898565241827[/C][/ROW]
[ROW][C]0.49[/C][C]95.4698684096157[/C][C]0.88225093243826[/C][/ROW]
[ROW][C]0.5[/C][C]95.6307826991833[/C][C]0.892685150113474[/C][/ROW]
[ROW][C]0.51[/C][C]95.7929188451275[/C][C]0.896653014462745[/C][/ROW]
[ROW][C]0.52[/C][C]95.9551835557241[/C][C]0.89369972357874[/C][/ROW]
[ROW][C]0.53[/C][C]96.1164907544088[/C][C]0.884087752482958[/C][/ROW]
[ROW][C]0.54[/C][C]96.2758448887384[/C][C]0.868544320334307[/C][/ROW]
[ROW][C]0.55[/C][C]96.4324176587743[/C][C]0.848366593764005[/C][/ROW]
[ROW][C]0.56[/C][C]96.5856092956206[/C][C]0.824982699595884[/C][/ROW]
[ROW][C]0.57[/C][C]96.7350867807773[/C][C]0.800172756893983[/C][/ROW]
[ROW][C]0.58[/C][C]96.8807941172538[/C][C]0.775616411216596[/C][/ROW]
[ROW][C]0.59[/C][C]97.0229334091528[/C][C]0.752822134428718[/C][/ROW]
[ROW][C]0.6[/C][C]97.1619193235016[/C][C]0.73305466209136[/C][/ROW]
[ROW][C]0.61[/C][C]97.2983127686417[/C][C]0.716797099133189[/C][/ROW]
[ROW][C]0.62[/C][C]97.4327418427685[/C][C]0.704273792245769[/C][/ROW]
[ROW][C]0.63[/C][C]97.565819146894[/C][C]0.695300652523794[/C][/ROW]
[ROW][C]0.64[/C][C]97.6980645868932[/C][C]0.688891944475559[/C][/ROW]
[ROW][C]0.65[/C][C]97.8298421244903[/C][C]0.68405634466985[/C][/ROW]
[ROW][C]0.66[/C][C]97.9613178393303[/C][C]0.67936826021766[/C][/ROW]
[ROW][C]0.67[/C][C]98.0924451951287[/C][C]0.673758144930106[/C][/ROW]
[ROW][C]0.68[/C][C]98.2229813970904[/C][C]0.665898711184604[/C][/ROW]
[ROW][C]0.69[/C][C]98.3525359119618[/C][C]0.655205443935403[/C][/ROW]
[ROW][C]0.7[/C][C]98.4806484412503[/C][C]0.641113440370986[/C][/ROW]
[ROW][C]0.71[/C][C]98.6068891055096[/C][C]0.624168552530441[/C][/ROW]
[ROW][C]0.72[/C][C]98.7309690580808[/C][C]0.604904295108956[/C][/ROW]
[ROW][C]0.73[/C][C]98.8528464513513[/C][C]0.584991831742574[/C][/ROW]
[ROW][C]0.74[/C][C]98.9728121054455[/C][C]0.5664183823356[/C][/ROW]
[ROW][C]0.75[/C][C]99.0915425532126[/C][C]0.551255763959316[/C][/ROW]
[ROW][C]0.76[/C][C]99.2101155422397[/C][C]0.54141729055807[/C][/ROW]
[ROW][C]0.77[/C][C]99.3299931269236[/C][C]0.538678115034101[/C][/ROW]
[ROW][C]0.78[/C][C]99.4529868655042[/C][C]0.544116537513473[/C][/ROW]
[ROW][C]0.79[/C][C]99.5812236894324[/C][C]0.558251993232462[/C][/ROW]
[ROW][C]0.8[/C][C]99.7171254235941[/C][C]0.581604222763072[/C][/ROW]
[ROW][C]0.81[/C][C]99.8633986177869[/C][C]0.614406988684487[/C][/ROW]
[ROW][C]0.82[/C][C]100.023009763949[/C][C]0.657267634705299[/C][/ROW]
[ROW][C]0.83[/C][C]100.199107980419[/C][C]0.710327155124005[/C][/ROW]
[ROW][C]0.84[/C][C]100.394872409587[/C][C]0.772937882783491[/C][/ROW]
[ROW][C]0.85[/C][C]100.613319876272[/C][C]0.842822768385445[/C][/ROW]
[ROW][C]0.86[/C][C]100.857202005595[/C][C]0.915949950288818[/C][/ROW]
[ROW][C]0.87[/C][C]101.129199901416[/C][C]0.98790862859138[/C][/ROW]
[ROW][C]0.88[/C][C]101.43259174414[/C][C]1.05688574612887[/C][/ROW]
[ROW][C]0.89[/C][C]101.772315344749[/C][C]1.12700124636108[/C][/ROW]
[ROW][C]0.9[/C][C]102.155844849176[/C][C]1.20904835947878[/C][/ROW]
[ROW][C]0.91[/C][C]102.592731296357[/C][C]1.31561127065366[/C][/ROW]
[ROW][C]0.92[/C][C]103.091498090394[/C][C]1.44672350876098[/C][/ROW]
[ROW][C]0.93[/C][C]103.65347553236[/C][C]1.57465674146581[/C][/ROW]
[ROW][C]0.94[/C][C]104.265409739651[/C][C]1.64243224287023[/C][/ROW]
[ROW][C]0.95[/C][C]104.89546838352[/C][C]1.58486459036072[/C][/ROW]
[ROW][C]0.96[/C][C]105.49807477177[/C][C]1.36807872614511[/C][/ROW]
[ROW][C]0.97[/C][C]106.028382787853[/C][C]1.02710961083001[/C][/ROW]
[ROW][C]0.98[/C][C]106.456496718327[/C][C]0.674264015226991[/C][/ROW]
[ROW][C]0.99[/C][C]106.764556749896[/C][C]0.45739005693159[/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
0.0183.06700000472441.0771521506001
0.0283.56461708656220.771591411106562
0.0384.039567241560.724496650571078
0.0484.48735682409270.975786970572868
0.0584.96584227458471.34552361863761
0.0685.51260658135871.68121977246822
0.0786.12212403552851.88900283199827
0.0886.7587030361271.93270293279014
0.0987.37787847788751.82896253319782
0.187.94295554282461.6281516338046
0.1188.43300486490261.38905188600897
0.1288.84334457405651.16146711237414
0.1389.18148745785820.976575075501896
0.1489.46165212186020.847528600025628
0.1589.6999806492240.773489574541863
0.1689.91137444608450.745245543731756
0.1790.10793090053340.750902285849859
0.1890.29852484535220.778571856247708
0.1990.48902884016220.81812825136441
0.290.68280394788610.861530396936298
0.2190.88125625284240.902939381616227
0.2291.08436760606540.938296091594681
0.2391.29116404252890.964979385948663
0.2491.5001049370640.982511046619836
0.2591.70938443916450.990270256149889
0.2691.91714639932180.988721484226765
0.2792.12162554656610.978667355262974
0.2892.32123630093520.960579204822499
0.2992.51463220105180.935487593299975
0.392.70075317186440.904561048776761
0.3192.87886796415070.869486576130466
0.3293.04860963033440.832345713898268
0.3393.20999640630570.795350435692249
0.3493.3634300418210.760746090283589
0.3593.50966735538480.730482000135543
0.3693.64976620034460.706264391469567
0.3793.78501174228250.689277854890464
0.3893.91683151272910.680021374651925
0.3994.04670786410150.678875695789028
0.494.17609485432310.685284693329289
0.4194.30634424363640.698341229046506
0.4294.43864306602730.717175055898105
0.4394.57396363931740.740365026905785
0.4494.71302602195690.766210927589844
0.4594.85627270157790.793369455124125
0.4695.00385552012420.820056934401318
0.4795.15563530097970.844761409944106
0.4895.31119512244330.865898565241827
0.4995.46986840961570.88225093243826
0.595.63078269918330.892685150113474
0.5195.79291884512750.896653014462745
0.5295.95518355572410.89369972357874
0.5396.11649075440880.884087752482958
0.5496.27584488873840.868544320334307
0.5596.43241765877430.848366593764005
0.5696.58560929562060.824982699595884
0.5796.73508678077730.800172756893983
0.5896.88079411725380.775616411216596
0.5997.02293340915280.752822134428718
0.697.16191932350160.73305466209136
0.6197.29831276864170.716797099133189
0.6297.43274184276850.704273792245769
0.6397.5658191468940.695300652523794
0.6497.69806458689320.688891944475559
0.6597.82984212449030.68405634466985
0.6697.96131783933030.67936826021766
0.6798.09244519512870.673758144930106
0.6898.22298139709040.665898711184604
0.6998.35253591196180.655205443935403
0.798.48064844125030.641113440370986
0.7198.60688910550960.624168552530441
0.7298.73096905808080.604904295108956
0.7398.85284645135130.584991831742574
0.7498.97281210544550.5664183823356
0.7599.09154255321260.551255763959316
0.7699.21011554223970.54141729055807
0.7799.32999312692360.538678115034101
0.7899.45298686550420.544116537513473
0.7999.58122368943240.558251993232462
0.899.71712542359410.581604222763072
0.8199.86339861778690.614406988684487
0.82100.0230097639490.657267634705299
0.83100.1991079804190.710327155124005
0.84100.3948724095870.772937882783491
0.85100.6133198762720.842822768385445
0.86100.8572020055950.915949950288818
0.87101.1291999014160.98790862859138
0.88101.432591744141.05688574612887
0.89101.7723153447491.12700124636108
0.9102.1558448491761.20904835947878
0.91102.5927312963571.31561127065366
0.92103.0914980903941.44672350876098
0.93103.653475532361.57465674146581
0.94104.2654097396511.64243224287023
0.95104.895468383521.58486459036072
0.96105.498074771771.36807872614511
0.97106.0283827878531.02710961083001
0.98106.4564967183270.674264015226991
0.99106.7645567498960.45739005693159


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')