Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 06 Oct 2016 22:34:17 +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/t1475789676ge5mt7yqhazwldn.htm/, Retrieved Sat, 04 May 2024 19:09:37 +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 19:09:37 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0
Dataseries X:
94.94
96.24
95.77
94.41
95.09
95.37
95.17
95.05
95.33
95.42
95.95
96.12
96.94
98.73
98.03
97.42
98.39
98.77
98.46
98.3
98.25
98.33
98.61
98.99
98.8
100.26
100.85
98.87
99.81
100.44
100.07
99.8
99.77
99.9
100.58
100.86
101.05
101.3
101.45
101.13
101.38
101.03
100.79
100.84
101.17
101.36
101.14
101.24
100.98
102.23
99.96
101.43
101.72
101.51
101.29
101.55
101.6
101.88
102.11
102.24




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.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:  

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'George Udny Yule' @ yule.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0595.04042862492140.15747385851112
0.0695.11395814031380.164768782139092
0.0795.18001559266040.187125490842126
0.0895.24595379120250.218811445717646
0.0995.31631858155180.2581572740737
0.195.39393081672120.304851457728558
0.1195.48072919211720.35880789824763
0.1295.57819862545320.419549124403813
0.1395.68750020007590.486104924934721
0.1495.80944272665490.557112241827404
0.1595.94438814621420.630284300047524
0.1696.09214035663960.702532818300812
0.1796.25184675627650.77028301887277
0.1896.42193781178150.829310082343617
0.1996.60013011973150.8753400734127
0.296.78351307787450.904737681475861
0.2196.96872515622530.915177391318374
0.2297.15220596597760.90588063937714
0.2397.33049148386230.877806329784886
0.2497.5005083387890.833854998118199
0.2597.65982250207090.777744122556629
0.2697.80680763716890.714309726227773
0.2797.94071518287520.648596664777133
0.2898.06164691028880.58481672452653
0.2998.17044648302270.527305372542332
0.398.26853635740720.478909270977062
0.3198.35772921209030.441520401415091
0.3298.44003993794960.416067626957305
0.3398.51751722361980.402283766980581
0.3498.5921054976750.399139232766225
0.3598.66554063694610.40536628670079
0.3698.73927779261660.418472728469779
0.3798.81444731151550.436706235484038
0.3898.89183458335760.457671064483918
0.3998.97188074951240.479549171322549
0.499.05470246617910.500266327929902
0.4199.14012945764650.518192914300744
0.4299.22775801733360.532006884708536
0.4399.31701703172370.54106715510023
0.4499.40724105498060.544995750156095
0.4599.49774320075060.544140973063297
0.4699.58787984896860.539071259090673
0.4799.67709982955980.530671804467645
0.4899.76497288549540.52007686051868
0.4999.85119547299530.508380815028557
0.599.93557566377230.496247690846552
0.51100.0180022891130.484152188139852
0.52100.0984058048990.472113917845109
0.53100.1767192057990.460029457716717
0.54100.2528465648750.447351722953529
0.55100.3266446594630.433562842968346
0.56100.3979201744540.418199432282087
0.57100.4664417985450.400993298814181
0.58100.5319637847380.381904379888143
0.59100.5942557255610.361061005337786
0.6100.6531326546150.338990006761479
0.61100.7084801230710.316088989558718
0.62100.7602703706790.293253036305278
0.63100.8085677127580.271065796304665
0.64100.8535233358820.250045729364211
0.65100.8953614195620.230749363558976
0.66100.9343595936820.213279325852992
0.67100.9708270935020.197899728331474
0.68101.0050836556050.184575288616964
0.69101.0374414161980.173160099526475
0.7101.068191100260.163325879502235
0.71101.0975928856420.155047584203574
0.72101.1258716713220.14785950890977
0.73101.1532161418210.141746505161635
0.74101.1797809607840.136320088097265
0.75101.2056915364540.13144002987839
0.76101.2310509565050.126992094106837
0.77101.255948804910.122852687852597
0.78101.2804716342170.118989705319497
0.79101.3047149267040.115471534678244
0.8101.3287965252440.112295890270695
0.81101.3528718125530.109683468607799
0.82101.3771513361410.107806727210063
0.83101.4019219330070.106908707519623
0.84101.4275723362790.107302277340934
0.85101.4546232160160.109368177814563
0.86101.4837590213120.113652486080629
0.87101.515854372840.120627275040893
0.88101.5519810299410.130888127508104
0.89101.5933733496690.144793677884278
0.9101.6413227232450.162034348516685
0.91101.6969687800590.18165571375596
0.92101.7609639027560.201535223517889
0.93101.8330171427480.218144241117858
0.94101.9113837344920.22674203009462
0.95101.9924600458050.221978890627792

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.05 & 95.0404286249214 & 0.15747385851112 \tabularnewline
0.06 & 95.1139581403138 & 0.164768782139092 \tabularnewline
0.07 & 95.1800155926604 & 0.187125490842126 \tabularnewline
0.08 & 95.2459537912025 & 0.218811445717646 \tabularnewline
0.09 & 95.3163185815518 & 0.2581572740737 \tabularnewline
0.1 & 95.3939308167212 & 0.304851457728558 \tabularnewline
0.11 & 95.4807291921172 & 0.35880789824763 \tabularnewline
0.12 & 95.5781986254532 & 0.419549124403813 \tabularnewline
0.13 & 95.6875002000759 & 0.486104924934721 \tabularnewline
0.14 & 95.8094427266549 & 0.557112241827404 \tabularnewline
0.15 & 95.9443881462142 & 0.630284300047524 \tabularnewline
0.16 & 96.0921403566396 & 0.702532818300812 \tabularnewline
0.17 & 96.2518467562765 & 0.77028301887277 \tabularnewline
0.18 & 96.4219378117815 & 0.829310082343617 \tabularnewline
0.19 & 96.6001301197315 & 0.8753400734127 \tabularnewline
0.2 & 96.7835130778745 & 0.904737681475861 \tabularnewline
0.21 & 96.9687251562253 & 0.915177391318374 \tabularnewline
0.22 & 97.1522059659776 & 0.90588063937714 \tabularnewline
0.23 & 97.3304914838623 & 0.877806329784886 \tabularnewline
0.24 & 97.500508338789 & 0.833854998118199 \tabularnewline
0.25 & 97.6598225020709 & 0.777744122556629 \tabularnewline
0.26 & 97.8068076371689 & 0.714309726227773 \tabularnewline
0.27 & 97.9407151828752 & 0.648596664777133 \tabularnewline
0.28 & 98.0616469102888 & 0.58481672452653 \tabularnewline
0.29 & 98.1704464830227 & 0.527305372542332 \tabularnewline
0.3 & 98.2685363574072 & 0.478909270977062 \tabularnewline
0.31 & 98.3577292120903 & 0.441520401415091 \tabularnewline
0.32 & 98.4400399379496 & 0.416067626957305 \tabularnewline
0.33 & 98.5175172236198 & 0.402283766980581 \tabularnewline
0.34 & 98.592105497675 & 0.399139232766225 \tabularnewline
0.35 & 98.6655406369461 & 0.40536628670079 \tabularnewline
0.36 & 98.7392777926166 & 0.418472728469779 \tabularnewline
0.37 & 98.8144473115155 & 0.436706235484038 \tabularnewline
0.38 & 98.8918345833576 & 0.457671064483918 \tabularnewline
0.39 & 98.9718807495124 & 0.479549171322549 \tabularnewline
0.4 & 99.0547024661791 & 0.500266327929902 \tabularnewline
0.41 & 99.1401294576465 & 0.518192914300744 \tabularnewline
0.42 & 99.2277580173336 & 0.532006884708536 \tabularnewline
0.43 & 99.3170170317237 & 0.54106715510023 \tabularnewline
0.44 & 99.4072410549806 & 0.544995750156095 \tabularnewline
0.45 & 99.4977432007506 & 0.544140973063297 \tabularnewline
0.46 & 99.5878798489686 & 0.539071259090673 \tabularnewline
0.47 & 99.6770998295598 & 0.530671804467645 \tabularnewline
0.48 & 99.7649728854954 & 0.52007686051868 \tabularnewline
0.49 & 99.8511954729953 & 0.508380815028557 \tabularnewline
0.5 & 99.9355756637723 & 0.496247690846552 \tabularnewline
0.51 & 100.018002289113 & 0.484152188139852 \tabularnewline
0.52 & 100.098405804899 & 0.472113917845109 \tabularnewline
0.53 & 100.176719205799 & 0.460029457716717 \tabularnewline
0.54 & 100.252846564875 & 0.447351722953529 \tabularnewline
0.55 & 100.326644659463 & 0.433562842968346 \tabularnewline
0.56 & 100.397920174454 & 0.418199432282087 \tabularnewline
0.57 & 100.466441798545 & 0.400993298814181 \tabularnewline
0.58 & 100.531963784738 & 0.381904379888143 \tabularnewline
0.59 & 100.594255725561 & 0.361061005337786 \tabularnewline
0.6 & 100.653132654615 & 0.338990006761479 \tabularnewline
0.61 & 100.708480123071 & 0.316088989558718 \tabularnewline
0.62 & 100.760270370679 & 0.293253036305278 \tabularnewline
0.63 & 100.808567712758 & 0.271065796304665 \tabularnewline
0.64 & 100.853523335882 & 0.250045729364211 \tabularnewline
0.65 & 100.895361419562 & 0.230749363558976 \tabularnewline
0.66 & 100.934359593682 & 0.213279325852992 \tabularnewline
0.67 & 100.970827093502 & 0.197899728331474 \tabularnewline
0.68 & 101.005083655605 & 0.184575288616964 \tabularnewline
0.69 & 101.037441416198 & 0.173160099526475 \tabularnewline
0.7 & 101.06819110026 & 0.163325879502235 \tabularnewline
0.71 & 101.097592885642 & 0.155047584203574 \tabularnewline
0.72 & 101.125871671322 & 0.14785950890977 \tabularnewline
0.73 & 101.153216141821 & 0.141746505161635 \tabularnewline
0.74 & 101.179780960784 & 0.136320088097265 \tabularnewline
0.75 & 101.205691536454 & 0.13144002987839 \tabularnewline
0.76 & 101.231050956505 & 0.126992094106837 \tabularnewline
0.77 & 101.25594880491 & 0.122852687852597 \tabularnewline
0.78 & 101.280471634217 & 0.118989705319497 \tabularnewline
0.79 & 101.304714926704 & 0.115471534678244 \tabularnewline
0.8 & 101.328796525244 & 0.112295890270695 \tabularnewline
0.81 & 101.352871812553 & 0.109683468607799 \tabularnewline
0.82 & 101.377151336141 & 0.107806727210063 \tabularnewline
0.83 & 101.401921933007 & 0.106908707519623 \tabularnewline
0.84 & 101.427572336279 & 0.107302277340934 \tabularnewline
0.85 & 101.454623216016 & 0.109368177814563 \tabularnewline
0.86 & 101.483759021312 & 0.113652486080629 \tabularnewline
0.87 & 101.51585437284 & 0.120627275040893 \tabularnewline
0.88 & 101.551981029941 & 0.130888127508104 \tabularnewline
0.89 & 101.593373349669 & 0.144793677884278 \tabularnewline
0.9 & 101.641322723245 & 0.162034348516685 \tabularnewline
0.91 & 101.696968780059 & 0.18165571375596 \tabularnewline
0.92 & 101.760963902756 & 0.201535223517889 \tabularnewline
0.93 & 101.833017142748 & 0.218144241117858 \tabularnewline
0.94 & 101.911383734492 & 0.22674203009462 \tabularnewline
0.95 & 101.992460045805 & 0.221978890627792 \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]0.05[/C][C]95.0404286249214[/C][C]0.15747385851112[/C][/ROW]
[ROW][C]0.06[/C][C]95.1139581403138[/C][C]0.164768782139092[/C][/ROW]
[ROW][C]0.07[/C][C]95.1800155926604[/C][C]0.187125490842126[/C][/ROW]
[ROW][C]0.08[/C][C]95.2459537912025[/C][C]0.218811445717646[/C][/ROW]
[ROW][C]0.09[/C][C]95.3163185815518[/C][C]0.2581572740737[/C][/ROW]
[ROW][C]0.1[/C][C]95.3939308167212[/C][C]0.304851457728558[/C][/ROW]
[ROW][C]0.11[/C][C]95.4807291921172[/C][C]0.35880789824763[/C][/ROW]
[ROW][C]0.12[/C][C]95.5781986254532[/C][C]0.419549124403813[/C][/ROW]
[ROW][C]0.13[/C][C]95.6875002000759[/C][C]0.486104924934721[/C][/ROW]
[ROW][C]0.14[/C][C]95.8094427266549[/C][C]0.557112241827404[/C][/ROW]
[ROW][C]0.15[/C][C]95.9443881462142[/C][C]0.630284300047524[/C][/ROW]
[ROW][C]0.16[/C][C]96.0921403566396[/C][C]0.702532818300812[/C][/ROW]
[ROW][C]0.17[/C][C]96.2518467562765[/C][C]0.77028301887277[/C][/ROW]
[ROW][C]0.18[/C][C]96.4219378117815[/C][C]0.829310082343617[/C][/ROW]
[ROW][C]0.19[/C][C]96.6001301197315[/C][C]0.8753400734127[/C][/ROW]
[ROW][C]0.2[/C][C]96.7835130778745[/C][C]0.904737681475861[/C][/ROW]
[ROW][C]0.21[/C][C]96.9687251562253[/C][C]0.915177391318374[/C][/ROW]
[ROW][C]0.22[/C][C]97.1522059659776[/C][C]0.90588063937714[/C][/ROW]
[ROW][C]0.23[/C][C]97.3304914838623[/C][C]0.877806329784886[/C][/ROW]
[ROW][C]0.24[/C][C]97.500508338789[/C][C]0.833854998118199[/C][/ROW]
[ROW][C]0.25[/C][C]97.6598225020709[/C][C]0.777744122556629[/C][/ROW]
[ROW][C]0.26[/C][C]97.8068076371689[/C][C]0.714309726227773[/C][/ROW]
[ROW][C]0.27[/C][C]97.9407151828752[/C][C]0.648596664777133[/C][/ROW]
[ROW][C]0.28[/C][C]98.0616469102888[/C][C]0.58481672452653[/C][/ROW]
[ROW][C]0.29[/C][C]98.1704464830227[/C][C]0.527305372542332[/C][/ROW]
[ROW][C]0.3[/C][C]98.2685363574072[/C][C]0.478909270977062[/C][/ROW]
[ROW][C]0.31[/C][C]98.3577292120903[/C][C]0.441520401415091[/C][/ROW]
[ROW][C]0.32[/C][C]98.4400399379496[/C][C]0.416067626957305[/C][/ROW]
[ROW][C]0.33[/C][C]98.5175172236198[/C][C]0.402283766980581[/C][/ROW]
[ROW][C]0.34[/C][C]98.592105497675[/C][C]0.399139232766225[/C][/ROW]
[ROW][C]0.35[/C][C]98.6655406369461[/C][C]0.40536628670079[/C][/ROW]
[ROW][C]0.36[/C][C]98.7392777926166[/C][C]0.418472728469779[/C][/ROW]
[ROW][C]0.37[/C][C]98.8144473115155[/C][C]0.436706235484038[/C][/ROW]
[ROW][C]0.38[/C][C]98.8918345833576[/C][C]0.457671064483918[/C][/ROW]
[ROW][C]0.39[/C][C]98.9718807495124[/C][C]0.479549171322549[/C][/ROW]
[ROW][C]0.4[/C][C]99.0547024661791[/C][C]0.500266327929902[/C][/ROW]
[ROW][C]0.41[/C][C]99.1401294576465[/C][C]0.518192914300744[/C][/ROW]
[ROW][C]0.42[/C][C]99.2277580173336[/C][C]0.532006884708536[/C][/ROW]
[ROW][C]0.43[/C][C]99.3170170317237[/C][C]0.54106715510023[/C][/ROW]
[ROW][C]0.44[/C][C]99.4072410549806[/C][C]0.544995750156095[/C][/ROW]
[ROW][C]0.45[/C][C]99.4977432007506[/C][C]0.544140973063297[/C][/ROW]
[ROW][C]0.46[/C][C]99.5878798489686[/C][C]0.539071259090673[/C][/ROW]
[ROW][C]0.47[/C][C]99.6770998295598[/C][C]0.530671804467645[/C][/ROW]
[ROW][C]0.48[/C][C]99.7649728854954[/C][C]0.52007686051868[/C][/ROW]
[ROW][C]0.49[/C][C]99.8511954729953[/C][C]0.508380815028557[/C][/ROW]
[ROW][C]0.5[/C][C]99.9355756637723[/C][C]0.496247690846552[/C][/ROW]
[ROW][C]0.51[/C][C]100.018002289113[/C][C]0.484152188139852[/C][/ROW]
[ROW][C]0.52[/C][C]100.098405804899[/C][C]0.472113917845109[/C][/ROW]
[ROW][C]0.53[/C][C]100.176719205799[/C][C]0.460029457716717[/C][/ROW]
[ROW][C]0.54[/C][C]100.252846564875[/C][C]0.447351722953529[/C][/ROW]
[ROW][C]0.55[/C][C]100.326644659463[/C][C]0.433562842968346[/C][/ROW]
[ROW][C]0.56[/C][C]100.397920174454[/C][C]0.418199432282087[/C][/ROW]
[ROW][C]0.57[/C][C]100.466441798545[/C][C]0.400993298814181[/C][/ROW]
[ROW][C]0.58[/C][C]100.531963784738[/C][C]0.381904379888143[/C][/ROW]
[ROW][C]0.59[/C][C]100.594255725561[/C][C]0.361061005337786[/C][/ROW]
[ROW][C]0.6[/C][C]100.653132654615[/C][C]0.338990006761479[/C][/ROW]
[ROW][C]0.61[/C][C]100.708480123071[/C][C]0.316088989558718[/C][/ROW]
[ROW][C]0.62[/C][C]100.760270370679[/C][C]0.293253036305278[/C][/ROW]
[ROW][C]0.63[/C][C]100.808567712758[/C][C]0.271065796304665[/C][/ROW]
[ROW][C]0.64[/C][C]100.853523335882[/C][C]0.250045729364211[/C][/ROW]
[ROW][C]0.65[/C][C]100.895361419562[/C][C]0.230749363558976[/C][/ROW]
[ROW][C]0.66[/C][C]100.934359593682[/C][C]0.213279325852992[/C][/ROW]
[ROW][C]0.67[/C][C]100.970827093502[/C][C]0.197899728331474[/C][/ROW]
[ROW][C]0.68[/C][C]101.005083655605[/C][C]0.184575288616964[/C][/ROW]
[ROW][C]0.69[/C][C]101.037441416198[/C][C]0.173160099526475[/C][/ROW]
[ROW][C]0.7[/C][C]101.06819110026[/C][C]0.163325879502235[/C][/ROW]
[ROW][C]0.71[/C][C]101.097592885642[/C][C]0.155047584203574[/C][/ROW]
[ROW][C]0.72[/C][C]101.125871671322[/C][C]0.14785950890977[/C][/ROW]
[ROW][C]0.73[/C][C]101.153216141821[/C][C]0.141746505161635[/C][/ROW]
[ROW][C]0.74[/C][C]101.179780960784[/C][C]0.136320088097265[/C][/ROW]
[ROW][C]0.75[/C][C]101.205691536454[/C][C]0.13144002987839[/C][/ROW]
[ROW][C]0.76[/C][C]101.231050956505[/C][C]0.126992094106837[/C][/ROW]
[ROW][C]0.77[/C][C]101.25594880491[/C][C]0.122852687852597[/C][/ROW]
[ROW][C]0.78[/C][C]101.280471634217[/C][C]0.118989705319497[/C][/ROW]
[ROW][C]0.79[/C][C]101.304714926704[/C][C]0.115471534678244[/C][/ROW]
[ROW][C]0.8[/C][C]101.328796525244[/C][C]0.112295890270695[/C][/ROW]
[ROW][C]0.81[/C][C]101.352871812553[/C][C]0.109683468607799[/C][/ROW]
[ROW][C]0.82[/C][C]101.377151336141[/C][C]0.107806727210063[/C][/ROW]
[ROW][C]0.83[/C][C]101.401921933007[/C][C]0.106908707519623[/C][/ROW]
[ROW][C]0.84[/C][C]101.427572336279[/C][C]0.107302277340934[/C][/ROW]
[ROW][C]0.85[/C][C]101.454623216016[/C][C]0.109368177814563[/C][/ROW]
[ROW][C]0.86[/C][C]101.483759021312[/C][C]0.113652486080629[/C][/ROW]
[ROW][C]0.87[/C][C]101.51585437284[/C][C]0.120627275040893[/C][/ROW]
[ROW][C]0.88[/C][C]101.551981029941[/C][C]0.130888127508104[/C][/ROW]
[ROW][C]0.89[/C][C]101.593373349669[/C][C]0.144793677884278[/C][/ROW]
[ROW][C]0.9[/C][C]101.641322723245[/C][C]0.162034348516685[/C][/ROW]
[ROW][C]0.91[/C][C]101.696968780059[/C][C]0.18165571375596[/C][/ROW]
[ROW][C]0.92[/C][C]101.760963902756[/C][C]0.201535223517889[/C][/ROW]
[ROW][C]0.93[/C][C]101.833017142748[/C][C]0.218144241117858[/C][/ROW]
[ROW][C]0.94[/C][C]101.911383734492[/C][C]0.22674203009462[/C][/ROW]
[ROW][C]0.95[/C][C]101.992460045805[/C][C]0.221978890627792[/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:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0595.04042862492140.15747385851112
0.0695.11395814031380.164768782139092
0.0795.18001559266040.187125490842126
0.0895.24595379120250.218811445717646
0.0995.31631858155180.2581572740737
0.195.39393081672120.304851457728558
0.1195.48072919211720.35880789824763
0.1295.57819862545320.419549124403813
0.1395.68750020007590.486104924934721
0.1495.80944272665490.557112241827404
0.1595.94438814621420.630284300047524
0.1696.09214035663960.702532818300812
0.1796.25184675627650.77028301887277
0.1896.42193781178150.829310082343617
0.1996.60013011973150.8753400734127
0.296.78351307787450.904737681475861
0.2196.96872515622530.915177391318374
0.2297.15220596597760.90588063937714
0.2397.33049148386230.877806329784886
0.2497.5005083387890.833854998118199
0.2597.65982250207090.777744122556629
0.2697.80680763716890.714309726227773
0.2797.94071518287520.648596664777133
0.2898.06164691028880.58481672452653
0.2998.17044648302270.527305372542332
0.398.26853635740720.478909270977062
0.3198.35772921209030.441520401415091
0.3298.44003993794960.416067626957305
0.3398.51751722361980.402283766980581
0.3498.5921054976750.399139232766225
0.3598.66554063694610.40536628670079
0.3698.73927779261660.418472728469779
0.3798.81444731151550.436706235484038
0.3898.89183458335760.457671064483918
0.3998.97188074951240.479549171322549
0.499.05470246617910.500266327929902
0.4199.14012945764650.518192914300744
0.4299.22775801733360.532006884708536
0.4399.31701703172370.54106715510023
0.4499.40724105498060.544995750156095
0.4599.49774320075060.544140973063297
0.4699.58787984896860.539071259090673
0.4799.67709982955980.530671804467645
0.4899.76497288549540.52007686051868
0.4999.85119547299530.508380815028557
0.599.93557566377230.496247690846552
0.51100.0180022891130.484152188139852
0.52100.0984058048990.472113917845109
0.53100.1767192057990.460029457716717
0.54100.2528465648750.447351722953529
0.55100.3266446594630.433562842968346
0.56100.3979201744540.418199432282087
0.57100.4664417985450.400993298814181
0.58100.5319637847380.381904379888143
0.59100.5942557255610.361061005337786
0.6100.6531326546150.338990006761479
0.61100.7084801230710.316088989558718
0.62100.7602703706790.293253036305278
0.63100.8085677127580.271065796304665
0.64100.8535233358820.250045729364211
0.65100.8953614195620.230749363558976
0.66100.9343595936820.213279325852992
0.67100.9708270935020.197899728331474
0.68101.0050836556050.184575288616964
0.69101.0374414161980.173160099526475
0.7101.068191100260.163325879502235
0.71101.0975928856420.155047584203574
0.72101.1258716713220.14785950890977
0.73101.1532161418210.141746505161635
0.74101.1797809607840.136320088097265
0.75101.2056915364540.13144002987839
0.76101.2310509565050.126992094106837
0.77101.255948804910.122852687852597
0.78101.2804716342170.118989705319497
0.79101.3047149267040.115471534678244
0.8101.3287965252440.112295890270695
0.81101.3528718125530.109683468607799
0.82101.3771513361410.107806727210063
0.83101.4019219330070.106908707519623
0.84101.4275723362790.107302277340934
0.85101.4546232160160.109368177814563
0.86101.4837590213120.113652486080629
0.87101.515854372840.120627275040893
0.88101.5519810299410.130888127508104
0.89101.5933733496690.144793677884278
0.9101.6413227232450.162034348516685
0.91101.6969687800590.18165571375596
0.92101.7609639027560.201535223517889
0.93101.8330171427480.218144241117858
0.94101.9113837344920.22674203009462
0.95101.9924600458050.221978890627792



Parameters (Session):
par1 = 0.05 ; par2 = 0.95 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.05 ; par2 = 0.95 ; 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')