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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 computationMon, 26 Jul 2010 14:12:53 +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/2010/Jul/26/t1280153694l2986yu8w0vmaum.htm/, Retrieved Sat, 04 May 2024 14:27:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78118, Retrieved Sat, 04 May 2024 14:27:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsHoes Isabelle
Estimated Impact198

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] [TIJDREEKS A - STA...] [2010-07-26 14:12:53] [35611de12c9fa8a4a915f3548e0dcd01] [Current]
- RMPD    [Mean versus Median] [TIJDREEKS B - STA...] [2010-07-29 12:38:35] [0b48553e7c30a6637a1907066e9be3d4]
-           [Mean versus Median] [TIJDREEKS B - STA...] [2010-08-14 12:19:40] [0b48553e7c30a6637a1907066e9be3d4]
- RMPD    [Mean Plot] [TIJDREEKS B - STA...] [2010-07-29 12:48:29] [0b48553e7c30a6637a1907066e9be3d4]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
698
697
696
694
714
713
698
688
689
689
690
692
688
679
677
673
694
690
673
659
657
654
644
643
638
626
621
615
640
633
620
610
601
595
585
584
580
574
560
550
580
569
551
536
535
526
517
512
510
501
496
491
524
514
495
479
479
467
451
459
461
460
452
449
483
470
442
419
419
406
393
396
390
389
373
371
407
391
357
327
321
317
300
304
296
296
283
279
319
295
255
227
228
233
210
219
212
209
201
198
245
216
173
144
143
152
127
141
129
127
113
117
174
143
103
81
92
104
81
89

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78118&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78118&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78118&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0183.00834668407964.40309570593903
0.0288.02698441272618.16031701354595
0.0394.69288542136910.2387972616146
0.04101.76139215926411.5223122722671
0.05108.72561917196712.3269186455897
0.06115.42227817890012.8040228304613
0.07121.82139754470613.1660474140189
0.08128.00421345830113.7860540918597
0.09134.16908691884215.0596262695742
0.1140.59414209130617.1836787535210
0.11147.55079646989120.0016833807583
0.12155.20098535916023.0054798277909
0.13163.52465711889525.5312803315133
0.14172.31554318110527.0432179259990
0.15181.25276596615027.3620638859379
0.16190.01735198704526.7299971406594
0.17198.4011230339325.7012831034063
0.18206.36378189965824.9252680668662
0.19214.02304541107124.9038912833611
0.2221.59253581265025.8135320794491
0.21229.29856867791427.4831801069414
0.22237.30741534559329.5131383899053
0.23245.68433539724331.4526067207284
0.24254.39150282090832.9457059357624
0.25263.31889412740533.8251792875776
0.26272.33317931999334.1420324502991
0.27281.32619935920934.1231922283407
0.28290.24708072752934.0817145801235
0.29299.10927911186834.2942072953899
0.3307.97322317207434.8956113203703
0.31316.91343206263335.835853406643
0.32325.98329120574536.9069222022461
0.33335.18999124999237.8346611191819
0.34344.48724606416438.3742673775539
0.35353.78646550412838.3815560478165
0.36362.98067951806037.8552161127164
0.37371.97181673301836.9144512858532
0.38380.69191056442435.7559008524727
0.39389.11204952277534.5804759324240
0.4397.23790395685133.5279645241273
0.41405.09546406757832.6433156348753
0.42412.71351402811131.8775688890967
0.43420.10953808083931.1284729168979
0.44427.2835055166830.2925406012825
0.45434.22047447453229.309427987601
0.46440.89965917993128.181967457095
0.47447.30569265400826.9738178792548
0.48453.43775592502825.7801335478052
0.49459.31373587538824.7077279700164
0.5464.96879549761123.8299039275585
0.51470.44975633513123.1838804355259
0.52475.80782742074722.7669477600477
0.53481.09224943211122.5458435832853
0.54486.34657241029822.4820111808875
0.55491.60801806290922.5449822762725
0.56496.90918898099822.719231419577
0.57502.28063461310123.0049650901965
0.58507.75262359237123.4096243408172
0.59513.35487795083423.9346708559475
0.6519.11384137666224.5626027723825
0.61525.04804247818925.2480253927021
0.62531.16298771237925.9185428303974
0.63537.44748411442326.4903078268817
0.64543.87312396102226.8829316667515
0.65550.3978042644627.043824329076
0.66556.97279758911826.9610503620213
0.67563.55148814112226.6657770439280
0.68570.09702328743326.2222094972443
0.69576.58628253448225.7081826758721
0.7583.00883500575725.1836306247186
0.71589.3615269861624.6673354404969
0.72595.64119190773624.1408116651179
0.73601.83884363239323.5627981533538
0.74607.93814090865922.8901016859097
0.75613.91910149329422.1139059627507
0.76619.7657673403521.2637075309586
0.77625.47470859279720.4037974279545
0.78631.06056687480119.6188768306737
0.79636.55547750683718.9784646421031
0.8642.00098430941718.5099320073094
0.81647.4335228088218.1743745253508
0.82652.86702437137317.8665727911701
0.83658.27781626015117.4344817069768
0.84663.59700555023816.7253008824494
0.85668.71385248305615.6271190949589
0.86673.49105967078714.1035478793815
0.87677.79040017116212.2065503249528
0.88681.50467474208210.0812678282509
0.89684.5887045632757.94292222667643
0.9687.0782765501126.03707527566044
0.91689.0854122777744.57082690195017
0.92690.7661164162273.62920731822741
0.93692.2730906737393.12005294014302
0.94693.725046543652.84021422900584
0.95695.2458149215222.67384979542184
0.96697.1408435575512.91228317662658
0.97700.1349047515774.49708126584704
0.98705.0012653566237.07199868451246
0.99710.7664938579316.21667783568593

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 83.0083466840796 & 4.40309570593903 \tabularnewline
0.02 & 88.0269844127261 & 8.16031701354595 \tabularnewline
0.03 & 94.692885421369 & 10.2387972616146 \tabularnewline
0.04 & 101.761392159264 & 11.5223122722671 \tabularnewline
0.05 & 108.725619171967 & 12.3269186455897 \tabularnewline
0.06 & 115.422278178900 & 12.8040228304613 \tabularnewline
0.07 & 121.821397544706 & 13.1660474140189 \tabularnewline
0.08 & 128.004213458301 & 13.7860540918597 \tabularnewline
0.09 & 134.169086918842 & 15.0596262695742 \tabularnewline
0.1 & 140.594142091306 & 17.1836787535210 \tabularnewline
0.11 & 147.550796469891 & 20.0016833807583 \tabularnewline
0.12 & 155.200985359160 & 23.0054798277909 \tabularnewline
0.13 & 163.524657118895 & 25.5312803315133 \tabularnewline
0.14 & 172.315543181105 & 27.0432179259990 \tabularnewline
0.15 & 181.252765966150 & 27.3620638859379 \tabularnewline
0.16 & 190.017351987045 & 26.7299971406594 \tabularnewline
0.17 & 198.40112303393 & 25.7012831034063 \tabularnewline
0.18 & 206.363781899658 & 24.9252680668662 \tabularnewline
0.19 & 214.023045411071 & 24.9038912833611 \tabularnewline
0.2 & 221.592535812650 & 25.8135320794491 \tabularnewline
0.21 & 229.298568677914 & 27.4831801069414 \tabularnewline
0.22 & 237.307415345593 & 29.5131383899053 \tabularnewline
0.23 & 245.684335397243 & 31.4526067207284 \tabularnewline
0.24 & 254.391502820908 & 32.9457059357624 \tabularnewline
0.25 & 263.318894127405 & 33.8251792875776 \tabularnewline
0.26 & 272.333179319993 & 34.1420324502991 \tabularnewline
0.27 & 281.326199359209 & 34.1231922283407 \tabularnewline
0.28 & 290.247080727529 & 34.0817145801235 \tabularnewline
0.29 & 299.109279111868 & 34.2942072953899 \tabularnewline
0.3 & 307.973223172074 & 34.8956113203703 \tabularnewline
0.31 & 316.913432062633 & 35.835853406643 \tabularnewline
0.32 & 325.983291205745 & 36.9069222022461 \tabularnewline
0.33 & 335.189991249992 & 37.8346611191819 \tabularnewline
0.34 & 344.487246064164 & 38.3742673775539 \tabularnewline
0.35 & 353.786465504128 & 38.3815560478165 \tabularnewline
0.36 & 362.980679518060 & 37.8552161127164 \tabularnewline
0.37 & 371.971816733018 & 36.9144512858532 \tabularnewline
0.38 & 380.691910564424 & 35.7559008524727 \tabularnewline
0.39 & 389.112049522775 & 34.5804759324240 \tabularnewline
0.4 & 397.237903956851 & 33.5279645241273 \tabularnewline
0.41 & 405.095464067578 & 32.6433156348753 \tabularnewline
0.42 & 412.713514028111 & 31.8775688890967 \tabularnewline
0.43 & 420.109538080839 & 31.1284729168979 \tabularnewline
0.44 & 427.28350551668 & 30.2925406012825 \tabularnewline
0.45 & 434.220474474532 & 29.309427987601 \tabularnewline
0.46 & 440.899659179931 & 28.181967457095 \tabularnewline
0.47 & 447.305692654008 & 26.9738178792548 \tabularnewline
0.48 & 453.437755925028 & 25.7801335478052 \tabularnewline
0.49 & 459.313735875388 & 24.7077279700164 \tabularnewline
0.5 & 464.968795497611 & 23.8299039275585 \tabularnewline
0.51 & 470.449756335131 & 23.1838804355259 \tabularnewline
0.52 & 475.807827420747 & 22.7669477600477 \tabularnewline
0.53 & 481.092249432111 & 22.5458435832853 \tabularnewline
0.54 & 486.346572410298 & 22.4820111808875 \tabularnewline
0.55 & 491.608018062909 & 22.5449822762725 \tabularnewline
0.56 & 496.909188980998 & 22.719231419577 \tabularnewline
0.57 & 502.280634613101 & 23.0049650901965 \tabularnewline
0.58 & 507.752623592371 & 23.4096243408172 \tabularnewline
0.59 & 513.354877950834 & 23.9346708559475 \tabularnewline
0.6 & 519.113841376662 & 24.5626027723825 \tabularnewline
0.61 & 525.048042478189 & 25.2480253927021 \tabularnewline
0.62 & 531.162987712379 & 25.9185428303974 \tabularnewline
0.63 & 537.447484114423 & 26.4903078268817 \tabularnewline
0.64 & 543.873123961022 & 26.8829316667515 \tabularnewline
0.65 & 550.39780426446 & 27.043824329076 \tabularnewline
0.66 & 556.972797589118 & 26.9610503620213 \tabularnewline
0.67 & 563.551488141122 & 26.6657770439280 \tabularnewline
0.68 & 570.097023287433 & 26.2222094972443 \tabularnewline
0.69 & 576.586282534482 & 25.7081826758721 \tabularnewline
0.7 & 583.008835005757 & 25.1836306247186 \tabularnewline
0.71 & 589.36152698616 & 24.6673354404969 \tabularnewline
0.72 & 595.641191907736 & 24.1408116651179 \tabularnewline
0.73 & 601.838843632393 & 23.5627981533538 \tabularnewline
0.74 & 607.938140908659 & 22.8901016859097 \tabularnewline
0.75 & 613.919101493294 & 22.1139059627507 \tabularnewline
0.76 & 619.76576734035 & 21.2637075309586 \tabularnewline
0.77 & 625.474708592797 & 20.4037974279545 \tabularnewline
0.78 & 631.060566874801 & 19.6188768306737 \tabularnewline
0.79 & 636.555477506837 & 18.9784646421031 \tabularnewline
0.8 & 642.000984309417 & 18.5099320073094 \tabularnewline
0.81 & 647.43352280882 & 18.1743745253508 \tabularnewline
0.82 & 652.867024371373 & 17.8665727911701 \tabularnewline
0.83 & 658.277816260151 & 17.4344817069768 \tabularnewline
0.84 & 663.597005550238 & 16.7253008824494 \tabularnewline
0.85 & 668.713852483056 & 15.6271190949589 \tabularnewline
0.86 & 673.491059670787 & 14.1035478793815 \tabularnewline
0.87 & 677.790400171162 & 12.2065503249528 \tabularnewline
0.88 & 681.504674742082 & 10.0812678282509 \tabularnewline
0.89 & 684.588704563275 & 7.94292222667643 \tabularnewline
0.9 & 687.078276550112 & 6.03707527566044 \tabularnewline
0.91 & 689.085412277774 & 4.57082690195017 \tabularnewline
0.92 & 690.766116416227 & 3.62920731822741 \tabularnewline
0.93 & 692.273090673739 & 3.12005294014302 \tabularnewline
0.94 & 693.72504654365 & 2.84021422900584 \tabularnewline
0.95 & 695.245814921522 & 2.67384979542184 \tabularnewline
0.96 & 697.140843557551 & 2.91228317662658 \tabularnewline
0.97 & 700.134904751577 & 4.49708126584704 \tabularnewline
0.98 & 705.001265356623 & 7.07199868451246 \tabularnewline
0.99 & 710.766493857931 & 6.21667783568593 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78118&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]83.0083466840796[/C][C]4.40309570593903[/C][/ROW]
[ROW][C]0.02[/C][C]88.0269844127261[/C][C]8.16031701354595[/C][/ROW]
[ROW][C]0.03[/C][C]94.692885421369[/C][C]10.2387972616146[/C][/ROW]
[ROW][C]0.04[/C][C]101.761392159264[/C][C]11.5223122722671[/C][/ROW]
[ROW][C]0.05[/C][C]108.725619171967[/C][C]12.3269186455897[/C][/ROW]
[ROW][C]0.06[/C][C]115.422278178900[/C][C]12.8040228304613[/C][/ROW]
[ROW][C]0.07[/C][C]121.821397544706[/C][C]13.1660474140189[/C][/ROW]
[ROW][C]0.08[/C][C]128.004213458301[/C][C]13.7860540918597[/C][/ROW]
[ROW][C]0.09[/C][C]134.169086918842[/C][C]15.0596262695742[/C][/ROW]
[ROW][C]0.1[/C][C]140.594142091306[/C][C]17.1836787535210[/C][/ROW]
[ROW][C]0.11[/C][C]147.550796469891[/C][C]20.0016833807583[/C][/ROW]
[ROW][C]0.12[/C][C]155.200985359160[/C][C]23.0054798277909[/C][/ROW]
[ROW][C]0.13[/C][C]163.524657118895[/C][C]25.5312803315133[/C][/ROW]
[ROW][C]0.14[/C][C]172.315543181105[/C][C]27.0432179259990[/C][/ROW]
[ROW][C]0.15[/C][C]181.252765966150[/C][C]27.3620638859379[/C][/ROW]
[ROW][C]0.16[/C][C]190.017351987045[/C][C]26.7299971406594[/C][/ROW]
[ROW][C]0.17[/C][C]198.40112303393[/C][C]25.7012831034063[/C][/ROW]
[ROW][C]0.18[/C][C]206.363781899658[/C][C]24.9252680668662[/C][/ROW]
[ROW][C]0.19[/C][C]214.023045411071[/C][C]24.9038912833611[/C][/ROW]
[ROW][C]0.2[/C][C]221.592535812650[/C][C]25.8135320794491[/C][/ROW]
[ROW][C]0.21[/C][C]229.298568677914[/C][C]27.4831801069414[/C][/ROW]
[ROW][C]0.22[/C][C]237.307415345593[/C][C]29.5131383899053[/C][/ROW]
[ROW][C]0.23[/C][C]245.684335397243[/C][C]31.4526067207284[/C][/ROW]
[ROW][C]0.24[/C][C]254.391502820908[/C][C]32.9457059357624[/C][/ROW]
[ROW][C]0.25[/C][C]263.318894127405[/C][C]33.8251792875776[/C][/ROW]
[ROW][C]0.26[/C][C]272.333179319993[/C][C]34.1420324502991[/C][/ROW]
[ROW][C]0.27[/C][C]281.326199359209[/C][C]34.1231922283407[/C][/ROW]
[ROW][C]0.28[/C][C]290.247080727529[/C][C]34.0817145801235[/C][/ROW]
[ROW][C]0.29[/C][C]299.109279111868[/C][C]34.2942072953899[/C][/ROW]
[ROW][C]0.3[/C][C]307.973223172074[/C][C]34.8956113203703[/C][/ROW]
[ROW][C]0.31[/C][C]316.913432062633[/C][C]35.835853406643[/C][/ROW]
[ROW][C]0.32[/C][C]325.983291205745[/C][C]36.9069222022461[/C][/ROW]
[ROW][C]0.33[/C][C]335.189991249992[/C][C]37.8346611191819[/C][/ROW]
[ROW][C]0.34[/C][C]344.487246064164[/C][C]38.3742673775539[/C][/ROW]
[ROW][C]0.35[/C][C]353.786465504128[/C][C]38.3815560478165[/C][/ROW]
[ROW][C]0.36[/C][C]362.980679518060[/C][C]37.8552161127164[/C][/ROW]
[ROW][C]0.37[/C][C]371.971816733018[/C][C]36.9144512858532[/C][/ROW]
[ROW][C]0.38[/C][C]380.691910564424[/C][C]35.7559008524727[/C][/ROW]
[ROW][C]0.39[/C][C]389.112049522775[/C][C]34.5804759324240[/C][/ROW]
[ROW][C]0.4[/C][C]397.237903956851[/C][C]33.5279645241273[/C][/ROW]
[ROW][C]0.41[/C][C]405.095464067578[/C][C]32.6433156348753[/C][/ROW]
[ROW][C]0.42[/C][C]412.713514028111[/C][C]31.8775688890967[/C][/ROW]
[ROW][C]0.43[/C][C]420.109538080839[/C][C]31.1284729168979[/C][/ROW]
[ROW][C]0.44[/C][C]427.28350551668[/C][C]30.2925406012825[/C][/ROW]
[ROW][C]0.45[/C][C]434.220474474532[/C][C]29.309427987601[/C][/ROW]
[ROW][C]0.46[/C][C]440.899659179931[/C][C]28.181967457095[/C][/ROW]
[ROW][C]0.47[/C][C]447.305692654008[/C][C]26.9738178792548[/C][/ROW]
[ROW][C]0.48[/C][C]453.437755925028[/C][C]25.7801335478052[/C][/ROW]
[ROW][C]0.49[/C][C]459.313735875388[/C][C]24.7077279700164[/C][/ROW]
[ROW][C]0.5[/C][C]464.968795497611[/C][C]23.8299039275585[/C][/ROW]
[ROW][C]0.51[/C][C]470.449756335131[/C][C]23.1838804355259[/C][/ROW]
[ROW][C]0.52[/C][C]475.807827420747[/C][C]22.7669477600477[/C][/ROW]
[ROW][C]0.53[/C][C]481.092249432111[/C][C]22.5458435832853[/C][/ROW]
[ROW][C]0.54[/C][C]486.346572410298[/C][C]22.4820111808875[/C][/ROW]
[ROW][C]0.55[/C][C]491.608018062909[/C][C]22.5449822762725[/C][/ROW]
[ROW][C]0.56[/C][C]496.909188980998[/C][C]22.719231419577[/C][/ROW]
[ROW][C]0.57[/C][C]502.280634613101[/C][C]23.0049650901965[/C][/ROW]
[ROW][C]0.58[/C][C]507.752623592371[/C][C]23.4096243408172[/C][/ROW]
[ROW][C]0.59[/C][C]513.354877950834[/C][C]23.9346708559475[/C][/ROW]
[ROW][C]0.6[/C][C]519.113841376662[/C][C]24.5626027723825[/C][/ROW]
[ROW][C]0.61[/C][C]525.048042478189[/C][C]25.2480253927021[/C][/ROW]
[ROW][C]0.62[/C][C]531.162987712379[/C][C]25.9185428303974[/C][/ROW]
[ROW][C]0.63[/C][C]537.447484114423[/C][C]26.4903078268817[/C][/ROW]
[ROW][C]0.64[/C][C]543.873123961022[/C][C]26.8829316667515[/C][/ROW]
[ROW][C]0.65[/C][C]550.39780426446[/C][C]27.043824329076[/C][/ROW]
[ROW][C]0.66[/C][C]556.972797589118[/C][C]26.9610503620213[/C][/ROW]
[ROW][C]0.67[/C][C]563.551488141122[/C][C]26.6657770439280[/C][/ROW]
[ROW][C]0.68[/C][C]570.097023287433[/C][C]26.2222094972443[/C][/ROW]
[ROW][C]0.69[/C][C]576.586282534482[/C][C]25.7081826758721[/C][/ROW]
[ROW][C]0.7[/C][C]583.008835005757[/C][C]25.1836306247186[/C][/ROW]
[ROW][C]0.71[/C][C]589.36152698616[/C][C]24.6673354404969[/C][/ROW]
[ROW][C]0.72[/C][C]595.641191907736[/C][C]24.1408116651179[/C][/ROW]
[ROW][C]0.73[/C][C]601.838843632393[/C][C]23.5627981533538[/C][/ROW]
[ROW][C]0.74[/C][C]607.938140908659[/C][C]22.8901016859097[/C][/ROW]
[ROW][C]0.75[/C][C]613.919101493294[/C][C]22.1139059627507[/C][/ROW]
[ROW][C]0.76[/C][C]619.76576734035[/C][C]21.2637075309586[/C][/ROW]
[ROW][C]0.77[/C][C]625.474708592797[/C][C]20.4037974279545[/C][/ROW]
[ROW][C]0.78[/C][C]631.060566874801[/C][C]19.6188768306737[/C][/ROW]
[ROW][C]0.79[/C][C]636.555477506837[/C][C]18.9784646421031[/C][/ROW]
[ROW][C]0.8[/C][C]642.000984309417[/C][C]18.5099320073094[/C][/ROW]
[ROW][C]0.81[/C][C]647.43352280882[/C][C]18.1743745253508[/C][/ROW]
[ROW][C]0.82[/C][C]652.867024371373[/C][C]17.8665727911701[/C][/ROW]
[ROW][C]0.83[/C][C]658.277816260151[/C][C]17.4344817069768[/C][/ROW]
[ROW][C]0.84[/C][C]663.597005550238[/C][C]16.7253008824494[/C][/ROW]
[ROW][C]0.85[/C][C]668.713852483056[/C][C]15.6271190949589[/C][/ROW]
[ROW][C]0.86[/C][C]673.491059670787[/C][C]14.1035478793815[/C][/ROW]
[ROW][C]0.87[/C][C]677.790400171162[/C][C]12.2065503249528[/C][/ROW]
[ROW][C]0.88[/C][C]681.504674742082[/C][C]10.0812678282509[/C][/ROW]
[ROW][C]0.89[/C][C]684.588704563275[/C][C]7.94292222667643[/C][/ROW]
[ROW][C]0.9[/C][C]687.078276550112[/C][C]6.03707527566044[/C][/ROW]
[ROW][C]0.91[/C][C]689.085412277774[/C][C]4.57082690195017[/C][/ROW]
[ROW][C]0.92[/C][C]690.766116416227[/C][C]3.62920731822741[/C][/ROW]
[ROW][C]0.93[/C][C]692.273090673739[/C][C]3.12005294014302[/C][/ROW]
[ROW][C]0.94[/C][C]693.72504654365[/C][C]2.84021422900584[/C][/ROW]
[ROW][C]0.95[/C][C]695.245814921522[/C][C]2.67384979542184[/C][/ROW]
[ROW][C]0.96[/C][C]697.140843557551[/C][C]2.91228317662658[/C][/ROW]
[ROW][C]0.97[/C][C]700.134904751577[/C][C]4.49708126584704[/C][/ROW]
[ROW][C]0.98[/C][C]705.001265356623[/C][C]7.07199868451246[/C][/ROW]
[ROW][C]0.99[/C][C]710.766493857931[/C][C]6.21667783568593[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78118&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78118&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
0.0183.00834668407964.40309570593903
0.0288.02698441272618.16031701354595
0.0394.69288542136910.2387972616146
0.04101.76139215926411.5223122722671
0.05108.72561917196712.3269186455897
0.06115.42227817890012.8040228304613
0.07121.82139754470613.1660474140189
0.08128.00421345830113.7860540918597
0.09134.16908691884215.0596262695742
0.1140.59414209130617.1836787535210
0.11147.55079646989120.0016833807583
0.12155.20098535916023.0054798277909
0.13163.52465711889525.5312803315133
0.14172.31554318110527.0432179259990
0.15181.25276596615027.3620638859379
0.16190.01735198704526.7299971406594
0.17198.4011230339325.7012831034063
0.18206.36378189965824.9252680668662
0.19214.02304541107124.9038912833611
0.2221.59253581265025.8135320794491
0.21229.29856867791427.4831801069414
0.22237.30741534559329.5131383899053
0.23245.68433539724331.4526067207284
0.24254.39150282090832.9457059357624
0.25263.31889412740533.8251792875776
0.26272.33317931999334.1420324502991
0.27281.32619935920934.1231922283407
0.28290.24708072752934.0817145801235
0.29299.10927911186834.2942072953899
0.3307.97322317207434.8956113203703
0.31316.91343206263335.835853406643
0.32325.98329120574536.9069222022461
0.33335.18999124999237.8346611191819
0.34344.48724606416438.3742673775539
0.35353.78646550412838.3815560478165
0.36362.98067951806037.8552161127164
0.37371.97181673301836.9144512858532
0.38380.69191056442435.7559008524727
0.39389.11204952277534.5804759324240
0.4397.23790395685133.5279645241273
0.41405.09546406757832.6433156348753
0.42412.71351402811131.8775688890967
0.43420.10953808083931.1284729168979
0.44427.2835055166830.2925406012825
0.45434.22047447453229.309427987601
0.46440.89965917993128.181967457095
0.47447.30569265400826.9738178792548
0.48453.43775592502825.7801335478052
0.49459.31373587538824.7077279700164
0.5464.96879549761123.8299039275585
0.51470.44975633513123.1838804355259
0.52475.80782742074722.7669477600477
0.53481.09224943211122.5458435832853
0.54486.34657241029822.4820111808875
0.55491.60801806290922.5449822762725
0.56496.90918898099822.719231419577
0.57502.28063461310123.0049650901965
0.58507.75262359237123.4096243408172
0.59513.35487795083423.9346708559475
0.6519.11384137666224.5626027723825
0.61525.04804247818925.2480253927021
0.62531.16298771237925.9185428303974
0.63537.44748411442326.4903078268817
0.64543.87312396102226.8829316667515
0.65550.3978042644627.043824329076
0.66556.97279758911826.9610503620213
0.67563.55148814112226.6657770439280
0.68570.09702328743326.2222094972443
0.69576.58628253448225.7081826758721
0.7583.00883500575725.1836306247186
0.71589.3615269861624.6673354404969
0.72595.64119190773624.1408116651179
0.73601.83884363239323.5627981533538
0.74607.93814090865922.8901016859097
0.75613.91910149329422.1139059627507
0.76619.7657673403521.2637075309586
0.77625.47470859279720.4037974279545
0.78631.06056687480119.6188768306737
0.79636.55547750683718.9784646421031
0.8642.00098430941718.5099320073094
0.81647.4335228088218.1743745253508
0.82652.86702437137317.8665727911701
0.83658.27781626015117.4344817069768
0.84663.59700555023816.7253008824494
0.85668.71385248305615.6271190949589
0.86673.49105967078714.1035478793815
0.87677.79040017116212.2065503249528
0.88681.50467474208210.0812678282509
0.89684.5887045632757.94292222667643
0.9687.0782765501126.03707527566044
0.91689.0854122777744.57082690195017
0.92690.7661164162273.62920731822741
0.93692.2730906737393.12005294014302
0.94693.725046543652.84021422900584
0.95695.2458149215222.67384979542184
0.96697.1408435575512.91228317662658
0.97700.1349047515774.49708126584704
0.98705.0012653566237.07199868451246
0.99710.7664938579316.21667783568593


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')