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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 15 Dec 2015 17:09:59 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Dec/15/t1450199428jjgti1llgdnb4l0.htm/, Retrieved Sat, 18 May 2024 16:53:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286536, Retrieved Sat, 18 May 2024 16:53:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75

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] [] [2015-12-15 17:09:59] [9d441e5437781f0cd4d5053adc3d2c6c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
63966
60410
59440
59445
57614
55396
53030
50090
48764
61658
63943
64878
60634
57905
57224
60953
60621
57258
54903
53278
53042
63753
69210
71446
68408
65427
64630
66086
65058
62689
60841
57346
56222
68202
70745
73690
68992
65925
65546
67221
65315
62038
58774
55320
53900
65544
67906
70911
66544
63657
61720
62140
60837
58632
54642
51125
51000
60486
62685
66142
61895

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286536&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286536&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286536&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0149101.3627183511206.5985910968
0.0249614.35775629911106.01589825151
0.0350174.01216170791065.20975484275
0.0450709.36493464211087.16374339126
0.0551202.8356654331136.38469048276
0.0651658.87432245721174.27643672139
0.0752083.84360575481181.32586458377
0.0852480.75299357631160.66919315888
0.0952850.9535481471129.07006739633
0.153196.51993104031103.53171754178
0.1153521.06299754041093.03709728643
0.1253829.17214842521097.55701092148
0.1354125.40108315831112.33987969652
0.1454413.48651074791132.34809423589
0.1554696.0302562041153.84847458598
0.1654974.55137358811174.8007414284
0.1755249.71158569421193.4366218238
0.1855521.56370811451208.13014444227
0.1955789.76298966931217.30752950872
0.256053.74493236411220.12324213137
0.2156312.89028466361216.49235348354
0.2256566.68291489931207.86596382978
0.2356814.84387787971196.47992378568
0.2457057.41347846851185.18535113723
0.2557294.7584450831176.42047096081
0.2657527.49912010181171.88357521679
0.2757756.37278391631171.6994861756
0.2857982.06533869961174.79666024248
0.2958205.04976435531178.85129314215
0.358425.4655784061181.20399117913
0.3158643.06182810861179.070155737
0.3258857.21121126611170.19557505447
0.3359066.98881252711153.06026279921
0.3459271.29842050451127.1483873496
0.3559469.02365080151093.01426548101
0.3659659.18002912291051.99996374917
0.3759841.04688595871006.16672850474
0.3860014.2631806566958.288302828443
0.3960178.8780290086911.106714510052
0.460335.3537235491867.45195916391
0.4160484.525532812829.703048759422
0.4260627.5278015853799.844145602839
0.4360765.6992565248778.785279813625
0.4460900.4815800713766.825700455742
0.4561033.3241951052763.511866553657
0.4661165.6051241999767.885212987097
0.4761298.5734308339778.749111972899
0.4861433.3140400144794.813657436283
0.4961570.7316472858814.950576286853
0.561711.5477585873838.185760086947
0.5161856.3040933524863.624336422063
0.5262005.3665960045890.386211512736
0.5362158.9266554032917.524432011184
0.5462316.999039535943.974127354898
0.5562479.4186416336968.636481426529
0.5662645.8396911397990.244732552546
0.5762815.7412488281007.7838294652
0.5862988.44166113991020.15160221158
0.5963163.12267141651026.58515096186
0.663338.86178474411026.72934165922
0.6163514.66996749311020.31612882958
0.6263689.53131188751007.57947406806
0.6363862.4420079576988.804791940701
0.6464032.447530491964.417763456674
0.6564198.6787601082935.073126018155
0.6664360.3891198967901.567154109372
0.6764516.9951749135864.668312665994
0.6864668.122293409825.495406730092
0.6964813.6550774173785.587571388619
0.764953.7898143802746.442339673417
0.7165089.0837722721710.164455886025
0.7265220.4942428039679.052019574961
0.7365349.3990632084655.415918894249
0.7465477.5899108165641.578093236544
0.7565607.2299126171639.519771840922
0.7665740.768237331650.544583898123
0.7765880.8070131603674.99451837225
0.7866029.921261519711.919337660815
0.7966190.441677036759.158766909673
0.866364.2232825881813.158224793475
0.8166552.438633831869.255392984489
0.8266755.4481183877922.228877256932
0.8366972.8052287643967.129526252852
0.8467203.44343372591000.13061193453
0.8567446.05660543551019.52995227764
0.8667699.62494255761026.73231795257
0.8767963.96061445571026.30588595579
0.8868240.07475103071025.3517248692
0.8968530.14307880961031.20904701848
0.968836.93527047091047.86835757341
0.9169162.84274863691072.03938502808
0.9269509.12026646611092.06812732206
0.9369876.53031155691091.97358206721
0.9470268.78147106381062.13279724962
0.9570698.90131761981015.63906284613
0.9671194.35351577651007.54831111264
0.9771788.96714370921132.65745615208
0.9872485.29003152361446.39724225572
0.9973190.20459876311870.38852896049

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 49101.362718351 & 1206.5985910968 \tabularnewline
0.02 & 49614.3577562991 & 1106.01589825151 \tabularnewline
0.03 & 50174.0121617079 & 1065.20975484275 \tabularnewline
0.04 & 50709.3649346421 & 1087.16374339126 \tabularnewline
0.05 & 51202.835665433 & 1136.38469048276 \tabularnewline
0.06 & 51658.8743224572 & 1174.27643672139 \tabularnewline
0.07 & 52083.8436057548 & 1181.32586458377 \tabularnewline
0.08 & 52480.7529935763 & 1160.66919315888 \tabularnewline
0.09 & 52850.953548147 & 1129.07006739633 \tabularnewline
0.1 & 53196.5199310403 & 1103.53171754178 \tabularnewline
0.11 & 53521.0629975404 & 1093.03709728643 \tabularnewline
0.12 & 53829.1721484252 & 1097.55701092148 \tabularnewline
0.13 & 54125.4010831583 & 1112.33987969652 \tabularnewline
0.14 & 54413.4865107479 & 1132.34809423589 \tabularnewline
0.15 & 54696.030256204 & 1153.84847458598 \tabularnewline
0.16 & 54974.5513735881 & 1174.8007414284 \tabularnewline
0.17 & 55249.7115856942 & 1193.4366218238 \tabularnewline
0.18 & 55521.5637081145 & 1208.13014444227 \tabularnewline
0.19 & 55789.7629896693 & 1217.30752950872 \tabularnewline
0.2 & 56053.7449323641 & 1220.12324213137 \tabularnewline
0.21 & 56312.8902846636 & 1216.49235348354 \tabularnewline
0.22 & 56566.6829148993 & 1207.86596382978 \tabularnewline
0.23 & 56814.8438778797 & 1196.47992378568 \tabularnewline
0.24 & 57057.4134784685 & 1185.18535113723 \tabularnewline
0.25 & 57294.758445083 & 1176.42047096081 \tabularnewline
0.26 & 57527.4991201018 & 1171.88357521679 \tabularnewline
0.27 & 57756.3727839163 & 1171.6994861756 \tabularnewline
0.28 & 57982.0653386996 & 1174.79666024248 \tabularnewline
0.29 & 58205.0497643553 & 1178.85129314215 \tabularnewline
0.3 & 58425.465578406 & 1181.20399117913 \tabularnewline
0.31 & 58643.0618281086 & 1179.070155737 \tabularnewline
0.32 & 58857.2112112661 & 1170.19557505447 \tabularnewline
0.33 & 59066.9888125271 & 1153.06026279921 \tabularnewline
0.34 & 59271.2984205045 & 1127.1483873496 \tabularnewline
0.35 & 59469.0236508015 & 1093.01426548101 \tabularnewline
0.36 & 59659.1800291229 & 1051.99996374917 \tabularnewline
0.37 & 59841.0468859587 & 1006.16672850474 \tabularnewline
0.38 & 60014.2631806566 & 958.288302828443 \tabularnewline
0.39 & 60178.8780290086 & 911.106714510052 \tabularnewline
0.4 & 60335.3537235491 & 867.45195916391 \tabularnewline
0.41 & 60484.525532812 & 829.703048759422 \tabularnewline
0.42 & 60627.5278015853 & 799.844145602839 \tabularnewline
0.43 & 60765.6992565248 & 778.785279813625 \tabularnewline
0.44 & 60900.4815800713 & 766.825700455742 \tabularnewline
0.45 & 61033.3241951052 & 763.511866553657 \tabularnewline
0.46 & 61165.6051241999 & 767.885212987097 \tabularnewline
0.47 & 61298.5734308339 & 778.749111972899 \tabularnewline
0.48 & 61433.3140400144 & 794.813657436283 \tabularnewline
0.49 & 61570.7316472858 & 814.950576286853 \tabularnewline
0.5 & 61711.5477585873 & 838.185760086947 \tabularnewline
0.51 & 61856.3040933524 & 863.624336422063 \tabularnewline
0.52 & 62005.3665960045 & 890.386211512736 \tabularnewline
0.53 & 62158.9266554032 & 917.524432011184 \tabularnewline
0.54 & 62316.999039535 & 943.974127354898 \tabularnewline
0.55 & 62479.4186416336 & 968.636481426529 \tabularnewline
0.56 & 62645.8396911397 & 990.244732552546 \tabularnewline
0.57 & 62815.741248828 & 1007.7838294652 \tabularnewline
0.58 & 62988.4416611399 & 1020.15160221158 \tabularnewline
0.59 & 63163.1226714165 & 1026.58515096186 \tabularnewline
0.6 & 63338.8617847441 & 1026.72934165922 \tabularnewline
0.61 & 63514.6699674931 & 1020.31612882958 \tabularnewline
0.62 & 63689.5313118875 & 1007.57947406806 \tabularnewline
0.63 & 63862.4420079576 & 988.804791940701 \tabularnewline
0.64 & 64032.447530491 & 964.417763456674 \tabularnewline
0.65 & 64198.6787601082 & 935.073126018155 \tabularnewline
0.66 & 64360.3891198967 & 901.567154109372 \tabularnewline
0.67 & 64516.9951749135 & 864.668312665994 \tabularnewline
0.68 & 64668.122293409 & 825.495406730092 \tabularnewline
0.69 & 64813.6550774173 & 785.587571388619 \tabularnewline
0.7 & 64953.7898143802 & 746.442339673417 \tabularnewline
0.71 & 65089.0837722721 & 710.164455886025 \tabularnewline
0.72 & 65220.4942428039 & 679.052019574961 \tabularnewline
0.73 & 65349.3990632084 & 655.415918894249 \tabularnewline
0.74 & 65477.5899108165 & 641.578093236544 \tabularnewline
0.75 & 65607.2299126171 & 639.519771840922 \tabularnewline
0.76 & 65740.768237331 & 650.544583898123 \tabularnewline
0.77 & 65880.8070131603 & 674.99451837225 \tabularnewline
0.78 & 66029.921261519 & 711.919337660815 \tabularnewline
0.79 & 66190.441677036 & 759.158766909673 \tabularnewline
0.8 & 66364.2232825881 & 813.158224793475 \tabularnewline
0.81 & 66552.438633831 & 869.255392984489 \tabularnewline
0.82 & 66755.4481183877 & 922.228877256932 \tabularnewline
0.83 & 66972.8052287643 & 967.129526252852 \tabularnewline
0.84 & 67203.4434337259 & 1000.13061193453 \tabularnewline
0.85 & 67446.0566054355 & 1019.52995227764 \tabularnewline
0.86 & 67699.6249425576 & 1026.73231795257 \tabularnewline
0.87 & 67963.9606144557 & 1026.30588595579 \tabularnewline
0.88 & 68240.0747510307 & 1025.3517248692 \tabularnewline
0.89 & 68530.1430788096 & 1031.20904701848 \tabularnewline
0.9 & 68836.9352704709 & 1047.86835757341 \tabularnewline
0.91 & 69162.8427486369 & 1072.03938502808 \tabularnewline
0.92 & 69509.1202664661 & 1092.06812732206 \tabularnewline
0.93 & 69876.5303115569 & 1091.97358206721 \tabularnewline
0.94 & 70268.7814710638 & 1062.13279724962 \tabularnewline
0.95 & 70698.9013176198 & 1015.63906284613 \tabularnewline
0.96 & 71194.3535157765 & 1007.54831111264 \tabularnewline
0.97 & 71788.9671437092 & 1132.65745615208 \tabularnewline
0.98 & 72485.2900315236 & 1446.39724225572 \tabularnewline
0.99 & 73190.2045987631 & 1870.38852896049 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286536&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]49101.362718351[/C][C]1206.5985910968[/C][/ROW]
[ROW][C]0.02[/C][C]49614.3577562991[/C][C]1106.01589825151[/C][/ROW]
[ROW][C]0.03[/C][C]50174.0121617079[/C][C]1065.20975484275[/C][/ROW]
[ROW][C]0.04[/C][C]50709.3649346421[/C][C]1087.16374339126[/C][/ROW]
[ROW][C]0.05[/C][C]51202.835665433[/C][C]1136.38469048276[/C][/ROW]
[ROW][C]0.06[/C][C]51658.8743224572[/C][C]1174.27643672139[/C][/ROW]
[ROW][C]0.07[/C][C]52083.8436057548[/C][C]1181.32586458377[/C][/ROW]
[ROW][C]0.08[/C][C]52480.7529935763[/C][C]1160.66919315888[/C][/ROW]
[ROW][C]0.09[/C][C]52850.953548147[/C][C]1129.07006739633[/C][/ROW]
[ROW][C]0.1[/C][C]53196.5199310403[/C][C]1103.53171754178[/C][/ROW]
[ROW][C]0.11[/C][C]53521.0629975404[/C][C]1093.03709728643[/C][/ROW]
[ROW][C]0.12[/C][C]53829.1721484252[/C][C]1097.55701092148[/C][/ROW]
[ROW][C]0.13[/C][C]54125.4010831583[/C][C]1112.33987969652[/C][/ROW]
[ROW][C]0.14[/C][C]54413.4865107479[/C][C]1132.34809423589[/C][/ROW]
[ROW][C]0.15[/C][C]54696.030256204[/C][C]1153.84847458598[/C][/ROW]
[ROW][C]0.16[/C][C]54974.5513735881[/C][C]1174.8007414284[/C][/ROW]
[ROW][C]0.17[/C][C]55249.7115856942[/C][C]1193.4366218238[/C][/ROW]
[ROW][C]0.18[/C][C]55521.5637081145[/C][C]1208.13014444227[/C][/ROW]
[ROW][C]0.19[/C][C]55789.7629896693[/C][C]1217.30752950872[/C][/ROW]
[ROW][C]0.2[/C][C]56053.7449323641[/C][C]1220.12324213137[/C][/ROW]
[ROW][C]0.21[/C][C]56312.8902846636[/C][C]1216.49235348354[/C][/ROW]
[ROW][C]0.22[/C][C]56566.6829148993[/C][C]1207.86596382978[/C][/ROW]
[ROW][C]0.23[/C][C]56814.8438778797[/C][C]1196.47992378568[/C][/ROW]
[ROW][C]0.24[/C][C]57057.4134784685[/C][C]1185.18535113723[/C][/ROW]
[ROW][C]0.25[/C][C]57294.758445083[/C][C]1176.42047096081[/C][/ROW]
[ROW][C]0.26[/C][C]57527.4991201018[/C][C]1171.88357521679[/C][/ROW]
[ROW][C]0.27[/C][C]57756.3727839163[/C][C]1171.6994861756[/C][/ROW]
[ROW][C]0.28[/C][C]57982.0653386996[/C][C]1174.79666024248[/C][/ROW]
[ROW][C]0.29[/C][C]58205.0497643553[/C][C]1178.85129314215[/C][/ROW]
[ROW][C]0.3[/C][C]58425.465578406[/C][C]1181.20399117913[/C][/ROW]
[ROW][C]0.31[/C][C]58643.0618281086[/C][C]1179.070155737[/C][/ROW]
[ROW][C]0.32[/C][C]58857.2112112661[/C][C]1170.19557505447[/C][/ROW]
[ROW][C]0.33[/C][C]59066.9888125271[/C][C]1153.06026279921[/C][/ROW]
[ROW][C]0.34[/C][C]59271.2984205045[/C][C]1127.1483873496[/C][/ROW]
[ROW][C]0.35[/C][C]59469.0236508015[/C][C]1093.01426548101[/C][/ROW]
[ROW][C]0.36[/C][C]59659.1800291229[/C][C]1051.99996374917[/C][/ROW]
[ROW][C]0.37[/C][C]59841.0468859587[/C][C]1006.16672850474[/C][/ROW]
[ROW][C]0.38[/C][C]60014.2631806566[/C][C]958.288302828443[/C][/ROW]
[ROW][C]0.39[/C][C]60178.8780290086[/C][C]911.106714510052[/C][/ROW]
[ROW][C]0.4[/C][C]60335.3537235491[/C][C]867.45195916391[/C][/ROW]
[ROW][C]0.41[/C][C]60484.525532812[/C][C]829.703048759422[/C][/ROW]
[ROW][C]0.42[/C][C]60627.5278015853[/C][C]799.844145602839[/C][/ROW]
[ROW][C]0.43[/C][C]60765.6992565248[/C][C]778.785279813625[/C][/ROW]
[ROW][C]0.44[/C][C]60900.4815800713[/C][C]766.825700455742[/C][/ROW]
[ROW][C]0.45[/C][C]61033.3241951052[/C][C]763.511866553657[/C][/ROW]
[ROW][C]0.46[/C][C]61165.6051241999[/C][C]767.885212987097[/C][/ROW]
[ROW][C]0.47[/C][C]61298.5734308339[/C][C]778.749111972899[/C][/ROW]
[ROW][C]0.48[/C][C]61433.3140400144[/C][C]794.813657436283[/C][/ROW]
[ROW][C]0.49[/C][C]61570.7316472858[/C][C]814.950576286853[/C][/ROW]
[ROW][C]0.5[/C][C]61711.5477585873[/C][C]838.185760086947[/C][/ROW]
[ROW][C]0.51[/C][C]61856.3040933524[/C][C]863.624336422063[/C][/ROW]
[ROW][C]0.52[/C][C]62005.3665960045[/C][C]890.386211512736[/C][/ROW]
[ROW][C]0.53[/C][C]62158.9266554032[/C][C]917.524432011184[/C][/ROW]
[ROW][C]0.54[/C][C]62316.999039535[/C][C]943.974127354898[/C][/ROW]
[ROW][C]0.55[/C][C]62479.4186416336[/C][C]968.636481426529[/C][/ROW]
[ROW][C]0.56[/C][C]62645.8396911397[/C][C]990.244732552546[/C][/ROW]
[ROW][C]0.57[/C][C]62815.741248828[/C][C]1007.7838294652[/C][/ROW]
[ROW][C]0.58[/C][C]62988.4416611399[/C][C]1020.15160221158[/C][/ROW]
[ROW][C]0.59[/C][C]63163.1226714165[/C][C]1026.58515096186[/C][/ROW]
[ROW][C]0.6[/C][C]63338.8617847441[/C][C]1026.72934165922[/C][/ROW]
[ROW][C]0.61[/C][C]63514.6699674931[/C][C]1020.31612882958[/C][/ROW]
[ROW][C]0.62[/C][C]63689.5313118875[/C][C]1007.57947406806[/C][/ROW]
[ROW][C]0.63[/C][C]63862.4420079576[/C][C]988.804791940701[/C][/ROW]
[ROW][C]0.64[/C][C]64032.447530491[/C][C]964.417763456674[/C][/ROW]
[ROW][C]0.65[/C][C]64198.6787601082[/C][C]935.073126018155[/C][/ROW]
[ROW][C]0.66[/C][C]64360.3891198967[/C][C]901.567154109372[/C][/ROW]
[ROW][C]0.67[/C][C]64516.9951749135[/C][C]864.668312665994[/C][/ROW]
[ROW][C]0.68[/C][C]64668.122293409[/C][C]825.495406730092[/C][/ROW]
[ROW][C]0.69[/C][C]64813.6550774173[/C][C]785.587571388619[/C][/ROW]
[ROW][C]0.7[/C][C]64953.7898143802[/C][C]746.442339673417[/C][/ROW]
[ROW][C]0.71[/C][C]65089.0837722721[/C][C]710.164455886025[/C][/ROW]
[ROW][C]0.72[/C][C]65220.4942428039[/C][C]679.052019574961[/C][/ROW]
[ROW][C]0.73[/C][C]65349.3990632084[/C][C]655.415918894249[/C][/ROW]
[ROW][C]0.74[/C][C]65477.5899108165[/C][C]641.578093236544[/C][/ROW]
[ROW][C]0.75[/C][C]65607.2299126171[/C][C]639.519771840922[/C][/ROW]
[ROW][C]0.76[/C][C]65740.768237331[/C][C]650.544583898123[/C][/ROW]
[ROW][C]0.77[/C][C]65880.8070131603[/C][C]674.99451837225[/C][/ROW]
[ROW][C]0.78[/C][C]66029.921261519[/C][C]711.919337660815[/C][/ROW]
[ROW][C]0.79[/C][C]66190.441677036[/C][C]759.158766909673[/C][/ROW]
[ROW][C]0.8[/C][C]66364.2232825881[/C][C]813.158224793475[/C][/ROW]
[ROW][C]0.81[/C][C]66552.438633831[/C][C]869.255392984489[/C][/ROW]
[ROW][C]0.82[/C][C]66755.4481183877[/C][C]922.228877256932[/C][/ROW]
[ROW][C]0.83[/C][C]66972.8052287643[/C][C]967.129526252852[/C][/ROW]
[ROW][C]0.84[/C][C]67203.4434337259[/C][C]1000.13061193453[/C][/ROW]
[ROW][C]0.85[/C][C]67446.0566054355[/C][C]1019.52995227764[/C][/ROW]
[ROW][C]0.86[/C][C]67699.6249425576[/C][C]1026.73231795257[/C][/ROW]
[ROW][C]0.87[/C][C]67963.9606144557[/C][C]1026.30588595579[/C][/ROW]
[ROW][C]0.88[/C][C]68240.0747510307[/C][C]1025.3517248692[/C][/ROW]
[ROW][C]0.89[/C][C]68530.1430788096[/C][C]1031.20904701848[/C][/ROW]
[ROW][C]0.9[/C][C]68836.9352704709[/C][C]1047.86835757341[/C][/ROW]
[ROW][C]0.91[/C][C]69162.8427486369[/C][C]1072.03938502808[/C][/ROW]
[ROW][C]0.92[/C][C]69509.1202664661[/C][C]1092.06812732206[/C][/ROW]
[ROW][C]0.93[/C][C]69876.5303115569[/C][C]1091.97358206721[/C][/ROW]
[ROW][C]0.94[/C][C]70268.7814710638[/C][C]1062.13279724962[/C][/ROW]
[ROW][C]0.95[/C][C]70698.9013176198[/C][C]1015.63906284613[/C][/ROW]
[ROW][C]0.96[/C][C]71194.3535157765[/C][C]1007.54831111264[/C][/ROW]
[ROW][C]0.97[/C][C]71788.9671437092[/C][C]1132.65745615208[/C][/ROW]
[ROW][C]0.98[/C][C]72485.2900315236[/C][C]1446.39724225572[/C][/ROW]
[ROW][C]0.99[/C][C]73190.2045987631[/C][C]1870.38852896049[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286536&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286536&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
0.0149101.3627183511206.5985910968
0.0249614.35775629911106.01589825151
0.0350174.01216170791065.20975484275
0.0450709.36493464211087.16374339126
0.0551202.8356654331136.38469048276
0.0651658.87432245721174.27643672139
0.0752083.84360575481181.32586458377
0.0852480.75299357631160.66919315888
0.0952850.9535481471129.07006739633
0.153196.51993104031103.53171754178
0.1153521.06299754041093.03709728643
0.1253829.17214842521097.55701092148
0.1354125.40108315831112.33987969652
0.1454413.48651074791132.34809423589
0.1554696.0302562041153.84847458598
0.1654974.55137358811174.8007414284
0.1755249.71158569421193.4366218238
0.1855521.56370811451208.13014444227
0.1955789.76298966931217.30752950872
0.256053.74493236411220.12324213137
0.2156312.89028466361216.49235348354
0.2256566.68291489931207.86596382978
0.2356814.84387787971196.47992378568
0.2457057.41347846851185.18535113723
0.2557294.7584450831176.42047096081
0.2657527.49912010181171.88357521679
0.2757756.37278391631171.6994861756
0.2857982.06533869961174.79666024248
0.2958205.04976435531178.85129314215
0.358425.4655784061181.20399117913
0.3158643.06182810861179.070155737
0.3258857.21121126611170.19557505447
0.3359066.98881252711153.06026279921
0.3459271.29842050451127.1483873496
0.3559469.02365080151093.01426548101
0.3659659.18002912291051.99996374917
0.3759841.04688595871006.16672850474
0.3860014.2631806566958.288302828443
0.3960178.8780290086911.106714510052
0.460335.3537235491867.45195916391
0.4160484.525532812829.703048759422
0.4260627.5278015853799.844145602839
0.4360765.6992565248778.785279813625
0.4460900.4815800713766.825700455742
0.4561033.3241951052763.511866553657
0.4661165.6051241999767.885212987097
0.4761298.5734308339778.749111972899
0.4861433.3140400144794.813657436283
0.4961570.7316472858814.950576286853
0.561711.5477585873838.185760086947
0.5161856.3040933524863.624336422063
0.5262005.3665960045890.386211512736
0.5362158.9266554032917.524432011184
0.5462316.999039535943.974127354898
0.5562479.4186416336968.636481426529
0.5662645.8396911397990.244732552546
0.5762815.7412488281007.7838294652
0.5862988.44166113991020.15160221158
0.5963163.12267141651026.58515096186
0.663338.86178474411026.72934165922
0.6163514.66996749311020.31612882958
0.6263689.53131188751007.57947406806
0.6363862.4420079576988.804791940701
0.6464032.447530491964.417763456674
0.6564198.6787601082935.073126018155
0.6664360.3891198967901.567154109372
0.6764516.9951749135864.668312665994
0.6864668.122293409825.495406730092
0.6964813.6550774173785.587571388619
0.764953.7898143802746.442339673417
0.7165089.0837722721710.164455886025
0.7265220.4942428039679.052019574961
0.7365349.3990632084655.415918894249
0.7465477.5899108165641.578093236544
0.7565607.2299126171639.519771840922
0.7665740.768237331650.544583898123
0.7765880.8070131603674.99451837225
0.7866029.921261519711.919337660815
0.7966190.441677036759.158766909673
0.866364.2232825881813.158224793475
0.8166552.438633831869.255392984489
0.8266755.4481183877922.228877256932
0.8366972.8052287643967.129526252852
0.8467203.44343372591000.13061193453
0.8567446.05660543551019.52995227764
0.8667699.62494255761026.73231795257
0.8767963.96061445571026.30588595579
0.8868240.07475103071025.3517248692
0.8968530.14307880961031.20904701848
0.968836.93527047091047.86835757341
0.9169162.84274863691072.03938502808
0.9269509.12026646611092.06812732206
0.9369876.53031155691091.97358206721
0.9470268.78147106381062.13279724962
0.9570698.90131761981015.63906284613
0.9671194.35351577651007.54831111264
0.9771788.96714370921132.65745615208
0.9872485.29003152361446.39724225572
0.9973190.20459876311870.38852896049


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')