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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 computationWed, 11 Mar 2009 15:07:23 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/11/t1236805678mcak7reibu7zjsg.htm/, Retrieved Fri, 26 Apr 2024 19:50:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38944, Retrieved Fri, 26 Apr 2024 19:50:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact205

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] [Cijferreeks - aan...] [2009-03-11 21:07:23] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
464
675
703
887
1139
1077
1318
1260
1120
963
996
960
530
883
894
1045
1199
1287
1565
1577
1076
918
1008
1063
544
635
804
980
1018
1064
1404
1286
1104
999
996
1015
615
722
832
977
1270
1437
1520
1708
1151
934
1159
1209
699
830
996
1124
1458
1270
1753
2258
1208
1241
1265
1828
809
997
1164
1205
1538
1513
1378
2083
1357
1536
1526
1376

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38944&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38944&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38944&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01483.64727240469456.0649684829028
0.02512.82198419744950.0038387803204
0.03543.31516463877951.9753595510945
0.04572.13171443820356.4795999981668
0.05599.01661104173158.9240951851268
0.06624.11849920015259.0884385267654
0.07647.50803033157458.5375235488408
0.08669.36058990843258.6425427182868
0.09690.01972782782759.907697051879
0.1709.8812302029962.04133162336
0.11729.25012605792864.3349529826132
0.12748.26577002390966.0646135739662
0.13766.90738203239566.7737805196972
0.14785.05123752075466.3670488389172
0.15802.54252899798565.0409616870706
0.16819.25337596759563.1470400886401
0.17835.11309625685161.0281436308527
0.18850.1107982202858.9279382130306
0.19864.2792508034856.9502846347118
0.2877.67158019927955.0878264462556
0.21890.34014949158253.263256491766
0.22902.32274465006851.3732396391859
0.23913.63725072549649.3227448684902
0.24924.28349141396447.0472432958603
0.25934.24987136990344.5249961129785
0.26943.52240901038441.7807920579556
0.27952.0941406345238.8878912879541
0.28959.97337448158835.9567845036269
0.29967.18974268053733.1279490208786
0.3973.7974218728630.5543368884717
0.31979.8752811862628.3876925684959
0.32985.52407103624226.7671485538392
0.33990.8610769546125.7973688563821
0.34996.0129139688325.5352468426397
0.351001.1073140469025.9737106839492
0.361006.2648469176427.042059626958
0.371011.5914987565528.6208057749314
0.381017.1729049881330.5641015208969
0.391023.0707983469732.7221520914536
0.41029.321918385834.9480596744821
0.411035.9392825085437.1214982772711
0.421042.9154029279639.1476896340769
0.431050.2268077170940.9680659071672
0.441057.8391271257542.5429965395239
0.451065.7120474942743.8651433772239
0.461073.8035902995344.9430500059808
0.471082.0733940880345.8028743349138
0.481090.4849038456646.4658834244999
0.491099.0065551968146.9640406494339
0.51107.6121502563747.3248867419394
0.511116.2806545209547.5724817927818
0.521124.9956183989347.730042584405
0.531133.7443730810847.8174296402243
0.541142.5170985894947.846533720711
0.551151.3058331689547.8251240384707
0.561160.1034962011447.7549106078352
0.571168.9030283763947.6333320684511
0.581177.6968012840447.4524652434417
0.591186.4764963095247.2022175230022
0.61195.2336775099046.8777265489098
0.611203.9612594804746.4860331189708
0.621212.6559749334546.0391840735065
0.631221.3217645422345.5738001556569
0.641229.9737544405445.1525033605094
0.651238.6422005804344.8622581940703
0.661247.3755454569744.8142057140177
0.671256.2416517764645.1219684491736
0.681265.3264341311645.8963620944458
0.691274.7295296973147.2089087074942
0.71284.5572657145949.0691076519851
0.711294.9138305644751.4200750069986
0.721305.8920122652254.1435106817542
0.731317.5649279314857.0835368569695
0.741329.979742203660.0693344211706
0.751343.1535685879262.9371770721007
0.761357.0708797114365.5416603642222
0.771371.6812632835667.7496554866063
0.781386.8966535789969.4262419062752
0.791402.5884040466570.4136904112938
0.81418.5865072026370.5428198097296
0.811434.6852576418869.6461688062497
0.821450.6607813711967.6208080293072
0.831466.3052548783264.4978347689112
0.841481.4798078412360.5274825563282
0.851496.1830869339656.2444199558193
0.861510.6258676555652.5108550636975
0.871525.295210060650.5052159453943
0.881540.9869521446551.5394076891775
0.891558.7875810388856.5927728894717
0.91580.0029346811365.7757931608521
0.911606.0672475742278.2436206788975
0.921638.5130535176692.6445372350637
0.931679.09976813824107.983243124949
0.941730.11132588246124.701808856512
0.951794.57665096883144.782192241362
0.961875.77212414369168.629698148733
0.971974.99648029835189.637992671282
0.982086.65782524959195.366532338776
0.992191.71384570333183.591052609088

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 483.647272404694 & 56.0649684829028 \tabularnewline
0.02 & 512.821984197449 & 50.0038387803204 \tabularnewline
0.03 & 543.315164638779 & 51.9753595510945 \tabularnewline
0.04 & 572.131714438203 & 56.4795999981668 \tabularnewline
0.05 & 599.016611041731 & 58.9240951851268 \tabularnewline
0.06 & 624.118499200152 & 59.0884385267654 \tabularnewline
0.07 & 647.508030331574 & 58.5375235488408 \tabularnewline
0.08 & 669.360589908432 & 58.6425427182868 \tabularnewline
0.09 & 690.019727827827 & 59.907697051879 \tabularnewline
0.1 & 709.88123020299 & 62.04133162336 \tabularnewline
0.11 & 729.250126057928 & 64.3349529826132 \tabularnewline
0.12 & 748.265770023909 & 66.0646135739662 \tabularnewline
0.13 & 766.907382032395 & 66.7737805196972 \tabularnewline
0.14 & 785.051237520754 & 66.3670488389172 \tabularnewline
0.15 & 802.542528997985 & 65.0409616870706 \tabularnewline
0.16 & 819.253375967595 & 63.1470400886401 \tabularnewline
0.17 & 835.113096256851 & 61.0281436308527 \tabularnewline
0.18 & 850.11079822028 & 58.9279382130306 \tabularnewline
0.19 & 864.27925080348 & 56.9502846347118 \tabularnewline
0.2 & 877.671580199279 & 55.0878264462556 \tabularnewline
0.21 & 890.340149491582 & 53.263256491766 \tabularnewline
0.22 & 902.322744650068 & 51.3732396391859 \tabularnewline
0.23 & 913.637250725496 & 49.3227448684902 \tabularnewline
0.24 & 924.283491413964 & 47.0472432958603 \tabularnewline
0.25 & 934.249871369903 & 44.5249961129785 \tabularnewline
0.26 & 943.522409010384 & 41.7807920579556 \tabularnewline
0.27 & 952.09414063452 & 38.8878912879541 \tabularnewline
0.28 & 959.973374481588 & 35.9567845036269 \tabularnewline
0.29 & 967.189742680537 & 33.1279490208786 \tabularnewline
0.3 & 973.79742187286 & 30.5543368884717 \tabularnewline
0.31 & 979.87528118626 & 28.3876925684959 \tabularnewline
0.32 & 985.524071036242 & 26.7671485538392 \tabularnewline
0.33 & 990.86107695461 & 25.7973688563821 \tabularnewline
0.34 & 996.01291396883 & 25.5352468426397 \tabularnewline
0.35 & 1001.10731404690 & 25.9737106839492 \tabularnewline
0.36 & 1006.26484691764 & 27.042059626958 \tabularnewline
0.37 & 1011.59149875655 & 28.6208057749314 \tabularnewline
0.38 & 1017.17290498813 & 30.5641015208969 \tabularnewline
0.39 & 1023.07079834697 & 32.7221520914536 \tabularnewline
0.4 & 1029.3219183858 & 34.9480596744821 \tabularnewline
0.41 & 1035.93928250854 & 37.1214982772711 \tabularnewline
0.42 & 1042.91540292796 & 39.1476896340769 \tabularnewline
0.43 & 1050.22680771709 & 40.9680659071672 \tabularnewline
0.44 & 1057.83912712575 & 42.5429965395239 \tabularnewline
0.45 & 1065.71204749427 & 43.8651433772239 \tabularnewline
0.46 & 1073.80359029953 & 44.9430500059808 \tabularnewline
0.47 & 1082.07339408803 & 45.8028743349138 \tabularnewline
0.48 & 1090.48490384566 & 46.4658834244999 \tabularnewline
0.49 & 1099.00655519681 & 46.9640406494339 \tabularnewline
0.5 & 1107.61215025637 & 47.3248867419394 \tabularnewline
0.51 & 1116.28065452095 & 47.5724817927818 \tabularnewline
0.52 & 1124.99561839893 & 47.730042584405 \tabularnewline
0.53 & 1133.74437308108 & 47.8174296402243 \tabularnewline
0.54 & 1142.51709858949 & 47.846533720711 \tabularnewline
0.55 & 1151.30583316895 & 47.8251240384707 \tabularnewline
0.56 & 1160.10349620114 & 47.7549106078352 \tabularnewline
0.57 & 1168.90302837639 & 47.6333320684511 \tabularnewline
0.58 & 1177.69680128404 & 47.4524652434417 \tabularnewline
0.59 & 1186.47649630952 & 47.2022175230022 \tabularnewline
0.6 & 1195.23367750990 & 46.8777265489098 \tabularnewline
0.61 & 1203.96125948047 & 46.4860331189708 \tabularnewline
0.62 & 1212.65597493345 & 46.0391840735065 \tabularnewline
0.63 & 1221.32176454223 & 45.5738001556569 \tabularnewline
0.64 & 1229.97375444054 & 45.1525033605094 \tabularnewline
0.65 & 1238.64220058043 & 44.8622581940703 \tabularnewline
0.66 & 1247.37554545697 & 44.8142057140177 \tabularnewline
0.67 & 1256.24165177646 & 45.1219684491736 \tabularnewline
0.68 & 1265.32643413116 & 45.8963620944458 \tabularnewline
0.69 & 1274.72952969731 & 47.2089087074942 \tabularnewline
0.7 & 1284.55726571459 & 49.0691076519851 \tabularnewline
0.71 & 1294.91383056447 & 51.4200750069986 \tabularnewline
0.72 & 1305.89201226522 & 54.1435106817542 \tabularnewline
0.73 & 1317.56492793148 & 57.0835368569695 \tabularnewline
0.74 & 1329.9797422036 & 60.0693344211706 \tabularnewline
0.75 & 1343.15356858792 & 62.9371770721007 \tabularnewline
0.76 & 1357.07087971143 & 65.5416603642222 \tabularnewline
0.77 & 1371.68126328356 & 67.7496554866063 \tabularnewline
0.78 & 1386.89665357899 & 69.4262419062752 \tabularnewline
0.79 & 1402.58840404665 & 70.4136904112938 \tabularnewline
0.8 & 1418.58650720263 & 70.5428198097296 \tabularnewline
0.81 & 1434.68525764188 & 69.6461688062497 \tabularnewline
0.82 & 1450.66078137119 & 67.6208080293072 \tabularnewline
0.83 & 1466.30525487832 & 64.4978347689112 \tabularnewline
0.84 & 1481.47980784123 & 60.5274825563282 \tabularnewline
0.85 & 1496.18308693396 & 56.2444199558193 \tabularnewline
0.86 & 1510.62586765556 & 52.5108550636975 \tabularnewline
0.87 & 1525.2952100606 & 50.5052159453943 \tabularnewline
0.88 & 1540.98695214465 & 51.5394076891775 \tabularnewline
0.89 & 1558.78758103888 & 56.5927728894717 \tabularnewline
0.9 & 1580.00293468113 & 65.7757931608521 \tabularnewline
0.91 & 1606.06724757422 & 78.2436206788975 \tabularnewline
0.92 & 1638.51305351766 & 92.6445372350637 \tabularnewline
0.93 & 1679.09976813824 & 107.983243124949 \tabularnewline
0.94 & 1730.11132588246 & 124.701808856512 \tabularnewline
0.95 & 1794.57665096883 & 144.782192241362 \tabularnewline
0.96 & 1875.77212414369 & 168.629698148733 \tabularnewline
0.97 & 1974.99648029835 & 189.637992671282 \tabularnewline
0.98 & 2086.65782524959 & 195.366532338776 \tabularnewline
0.99 & 2191.71384570333 & 183.591052609088 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38944&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]483.647272404694[/C][C]56.0649684829028[/C][/ROW]
[ROW][C]0.02[/C][C]512.821984197449[/C][C]50.0038387803204[/C][/ROW]
[ROW][C]0.03[/C][C]543.315164638779[/C][C]51.9753595510945[/C][/ROW]
[ROW][C]0.04[/C][C]572.131714438203[/C][C]56.4795999981668[/C][/ROW]
[ROW][C]0.05[/C][C]599.016611041731[/C][C]58.9240951851268[/C][/ROW]
[ROW][C]0.06[/C][C]624.118499200152[/C][C]59.0884385267654[/C][/ROW]
[ROW][C]0.07[/C][C]647.508030331574[/C][C]58.5375235488408[/C][/ROW]
[ROW][C]0.08[/C][C]669.360589908432[/C][C]58.6425427182868[/C][/ROW]
[ROW][C]0.09[/C][C]690.019727827827[/C][C]59.907697051879[/C][/ROW]
[ROW][C]0.1[/C][C]709.88123020299[/C][C]62.04133162336[/C][/ROW]
[ROW][C]0.11[/C][C]729.250126057928[/C][C]64.3349529826132[/C][/ROW]
[ROW][C]0.12[/C][C]748.265770023909[/C][C]66.0646135739662[/C][/ROW]
[ROW][C]0.13[/C][C]766.907382032395[/C][C]66.7737805196972[/C][/ROW]
[ROW][C]0.14[/C][C]785.051237520754[/C][C]66.3670488389172[/C][/ROW]
[ROW][C]0.15[/C][C]802.542528997985[/C][C]65.0409616870706[/C][/ROW]
[ROW][C]0.16[/C][C]819.253375967595[/C][C]63.1470400886401[/C][/ROW]
[ROW][C]0.17[/C][C]835.113096256851[/C][C]61.0281436308527[/C][/ROW]
[ROW][C]0.18[/C][C]850.11079822028[/C][C]58.9279382130306[/C][/ROW]
[ROW][C]0.19[/C][C]864.27925080348[/C][C]56.9502846347118[/C][/ROW]
[ROW][C]0.2[/C][C]877.671580199279[/C][C]55.0878264462556[/C][/ROW]
[ROW][C]0.21[/C][C]890.340149491582[/C][C]53.263256491766[/C][/ROW]
[ROW][C]0.22[/C][C]902.322744650068[/C][C]51.3732396391859[/C][/ROW]
[ROW][C]0.23[/C][C]913.637250725496[/C][C]49.3227448684902[/C][/ROW]
[ROW][C]0.24[/C][C]924.283491413964[/C][C]47.0472432958603[/C][/ROW]
[ROW][C]0.25[/C][C]934.249871369903[/C][C]44.5249961129785[/C][/ROW]
[ROW][C]0.26[/C][C]943.522409010384[/C][C]41.7807920579556[/C][/ROW]
[ROW][C]0.27[/C][C]952.09414063452[/C][C]38.8878912879541[/C][/ROW]
[ROW][C]0.28[/C][C]959.973374481588[/C][C]35.9567845036269[/C][/ROW]
[ROW][C]0.29[/C][C]967.189742680537[/C][C]33.1279490208786[/C][/ROW]
[ROW][C]0.3[/C][C]973.79742187286[/C][C]30.5543368884717[/C][/ROW]
[ROW][C]0.31[/C][C]979.87528118626[/C][C]28.3876925684959[/C][/ROW]
[ROW][C]0.32[/C][C]985.524071036242[/C][C]26.7671485538392[/C][/ROW]
[ROW][C]0.33[/C][C]990.86107695461[/C][C]25.7973688563821[/C][/ROW]
[ROW][C]0.34[/C][C]996.01291396883[/C][C]25.5352468426397[/C][/ROW]
[ROW][C]0.35[/C][C]1001.10731404690[/C][C]25.9737106839492[/C][/ROW]
[ROW][C]0.36[/C][C]1006.26484691764[/C][C]27.042059626958[/C][/ROW]
[ROW][C]0.37[/C][C]1011.59149875655[/C][C]28.6208057749314[/C][/ROW]
[ROW][C]0.38[/C][C]1017.17290498813[/C][C]30.5641015208969[/C][/ROW]
[ROW][C]0.39[/C][C]1023.07079834697[/C][C]32.7221520914536[/C][/ROW]
[ROW][C]0.4[/C][C]1029.3219183858[/C][C]34.9480596744821[/C][/ROW]
[ROW][C]0.41[/C][C]1035.93928250854[/C][C]37.1214982772711[/C][/ROW]
[ROW][C]0.42[/C][C]1042.91540292796[/C][C]39.1476896340769[/C][/ROW]
[ROW][C]0.43[/C][C]1050.22680771709[/C][C]40.9680659071672[/C][/ROW]
[ROW][C]0.44[/C][C]1057.83912712575[/C][C]42.5429965395239[/C][/ROW]
[ROW][C]0.45[/C][C]1065.71204749427[/C][C]43.8651433772239[/C][/ROW]
[ROW][C]0.46[/C][C]1073.80359029953[/C][C]44.9430500059808[/C][/ROW]
[ROW][C]0.47[/C][C]1082.07339408803[/C][C]45.8028743349138[/C][/ROW]
[ROW][C]0.48[/C][C]1090.48490384566[/C][C]46.4658834244999[/C][/ROW]
[ROW][C]0.49[/C][C]1099.00655519681[/C][C]46.9640406494339[/C][/ROW]
[ROW][C]0.5[/C][C]1107.61215025637[/C][C]47.3248867419394[/C][/ROW]
[ROW][C]0.51[/C][C]1116.28065452095[/C][C]47.5724817927818[/C][/ROW]
[ROW][C]0.52[/C][C]1124.99561839893[/C][C]47.730042584405[/C][/ROW]
[ROW][C]0.53[/C][C]1133.74437308108[/C][C]47.8174296402243[/C][/ROW]
[ROW][C]0.54[/C][C]1142.51709858949[/C][C]47.846533720711[/C][/ROW]
[ROW][C]0.55[/C][C]1151.30583316895[/C][C]47.8251240384707[/C][/ROW]
[ROW][C]0.56[/C][C]1160.10349620114[/C][C]47.7549106078352[/C][/ROW]
[ROW][C]0.57[/C][C]1168.90302837639[/C][C]47.6333320684511[/C][/ROW]
[ROW][C]0.58[/C][C]1177.69680128404[/C][C]47.4524652434417[/C][/ROW]
[ROW][C]0.59[/C][C]1186.47649630952[/C][C]47.2022175230022[/C][/ROW]
[ROW][C]0.6[/C][C]1195.23367750990[/C][C]46.8777265489098[/C][/ROW]
[ROW][C]0.61[/C][C]1203.96125948047[/C][C]46.4860331189708[/C][/ROW]
[ROW][C]0.62[/C][C]1212.65597493345[/C][C]46.0391840735065[/C][/ROW]
[ROW][C]0.63[/C][C]1221.32176454223[/C][C]45.5738001556569[/C][/ROW]
[ROW][C]0.64[/C][C]1229.97375444054[/C][C]45.1525033605094[/C][/ROW]
[ROW][C]0.65[/C][C]1238.64220058043[/C][C]44.8622581940703[/C][/ROW]
[ROW][C]0.66[/C][C]1247.37554545697[/C][C]44.8142057140177[/C][/ROW]
[ROW][C]0.67[/C][C]1256.24165177646[/C][C]45.1219684491736[/C][/ROW]
[ROW][C]0.68[/C][C]1265.32643413116[/C][C]45.8963620944458[/C][/ROW]
[ROW][C]0.69[/C][C]1274.72952969731[/C][C]47.2089087074942[/C][/ROW]
[ROW][C]0.7[/C][C]1284.55726571459[/C][C]49.0691076519851[/C][/ROW]
[ROW][C]0.71[/C][C]1294.91383056447[/C][C]51.4200750069986[/C][/ROW]
[ROW][C]0.72[/C][C]1305.89201226522[/C][C]54.1435106817542[/C][/ROW]
[ROW][C]0.73[/C][C]1317.56492793148[/C][C]57.0835368569695[/C][/ROW]
[ROW][C]0.74[/C][C]1329.9797422036[/C][C]60.0693344211706[/C][/ROW]
[ROW][C]0.75[/C][C]1343.15356858792[/C][C]62.9371770721007[/C][/ROW]
[ROW][C]0.76[/C][C]1357.07087971143[/C][C]65.5416603642222[/C][/ROW]
[ROW][C]0.77[/C][C]1371.68126328356[/C][C]67.7496554866063[/C][/ROW]
[ROW][C]0.78[/C][C]1386.89665357899[/C][C]69.4262419062752[/C][/ROW]
[ROW][C]0.79[/C][C]1402.58840404665[/C][C]70.4136904112938[/C][/ROW]
[ROW][C]0.8[/C][C]1418.58650720263[/C][C]70.5428198097296[/C][/ROW]
[ROW][C]0.81[/C][C]1434.68525764188[/C][C]69.6461688062497[/C][/ROW]
[ROW][C]0.82[/C][C]1450.66078137119[/C][C]67.6208080293072[/C][/ROW]
[ROW][C]0.83[/C][C]1466.30525487832[/C][C]64.4978347689112[/C][/ROW]
[ROW][C]0.84[/C][C]1481.47980784123[/C][C]60.5274825563282[/C][/ROW]
[ROW][C]0.85[/C][C]1496.18308693396[/C][C]56.2444199558193[/C][/ROW]
[ROW][C]0.86[/C][C]1510.62586765556[/C][C]52.5108550636975[/C][/ROW]
[ROW][C]0.87[/C][C]1525.2952100606[/C][C]50.5052159453943[/C][/ROW]
[ROW][C]0.88[/C][C]1540.98695214465[/C][C]51.5394076891775[/C][/ROW]
[ROW][C]0.89[/C][C]1558.78758103888[/C][C]56.5927728894717[/C][/ROW]
[ROW][C]0.9[/C][C]1580.00293468113[/C][C]65.7757931608521[/C][/ROW]
[ROW][C]0.91[/C][C]1606.06724757422[/C][C]78.2436206788975[/C][/ROW]
[ROW][C]0.92[/C][C]1638.51305351766[/C][C]92.6445372350637[/C][/ROW]
[ROW][C]0.93[/C][C]1679.09976813824[/C][C]107.983243124949[/C][/ROW]
[ROW][C]0.94[/C][C]1730.11132588246[/C][C]124.701808856512[/C][/ROW]
[ROW][C]0.95[/C][C]1794.57665096883[/C][C]144.782192241362[/C][/ROW]
[ROW][C]0.96[/C][C]1875.77212414369[/C][C]168.629698148733[/C][/ROW]
[ROW][C]0.97[/C][C]1974.99648029835[/C][C]189.637992671282[/C][/ROW]
[ROW][C]0.98[/C][C]2086.65782524959[/C][C]195.366532338776[/C][/ROW]
[ROW][C]0.99[/C][C]2191.71384570333[/C][C]183.591052609088[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38944&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38944&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
0.01483.64727240469456.0649684829028
0.02512.82198419744950.0038387803204
0.03543.31516463877951.9753595510945
0.04572.13171443820356.4795999981668
0.05599.01661104173158.9240951851268
0.06624.11849920015259.0884385267654
0.07647.50803033157458.5375235488408
0.08669.36058990843258.6425427182868
0.09690.01972782782759.907697051879
0.1709.8812302029962.04133162336
0.11729.25012605792864.3349529826132
0.12748.26577002390966.0646135739662
0.13766.90738203239566.7737805196972
0.14785.05123752075466.3670488389172
0.15802.54252899798565.0409616870706
0.16819.25337596759563.1470400886401
0.17835.11309625685161.0281436308527
0.18850.1107982202858.9279382130306
0.19864.2792508034856.9502846347118
0.2877.67158019927955.0878264462556
0.21890.34014949158253.263256491766
0.22902.32274465006851.3732396391859
0.23913.63725072549649.3227448684902
0.24924.28349141396447.0472432958603
0.25934.24987136990344.5249961129785
0.26943.52240901038441.7807920579556
0.27952.0941406345238.8878912879541
0.28959.97337448158835.9567845036269
0.29967.18974268053733.1279490208786
0.3973.7974218728630.5543368884717
0.31979.8752811862628.3876925684959
0.32985.52407103624226.7671485538392
0.33990.8610769546125.7973688563821
0.34996.0129139688325.5352468426397
0.351001.1073140469025.9737106839492
0.361006.2648469176427.042059626958
0.371011.5914987565528.6208057749314
0.381017.1729049881330.5641015208969
0.391023.0707983469732.7221520914536
0.41029.321918385834.9480596744821
0.411035.9392825085437.1214982772711
0.421042.9154029279639.1476896340769
0.431050.2268077170940.9680659071672
0.441057.8391271257542.5429965395239
0.451065.7120474942743.8651433772239
0.461073.8035902995344.9430500059808
0.471082.0733940880345.8028743349138
0.481090.4849038456646.4658834244999
0.491099.0065551968146.9640406494339
0.51107.6121502563747.3248867419394
0.511116.2806545209547.5724817927818
0.521124.9956183989347.730042584405
0.531133.7443730810847.8174296402243
0.541142.5170985894947.846533720711
0.551151.3058331689547.8251240384707
0.561160.1034962011447.7549106078352
0.571168.9030283763947.6333320684511
0.581177.6968012840447.4524652434417
0.591186.4764963095247.2022175230022
0.61195.2336775099046.8777265489098
0.611203.9612594804746.4860331189708
0.621212.6559749334546.0391840735065
0.631221.3217645422345.5738001556569
0.641229.9737544405445.1525033605094
0.651238.6422005804344.8622581940703
0.661247.3755454569744.8142057140177
0.671256.2416517764645.1219684491736
0.681265.3264341311645.8963620944458
0.691274.7295296973147.2089087074942
0.71284.5572657145949.0691076519851
0.711294.9138305644751.4200750069986
0.721305.8920122652254.1435106817542
0.731317.5649279314857.0835368569695
0.741329.979742203660.0693344211706
0.751343.1535685879262.9371770721007
0.761357.0708797114365.5416603642222
0.771371.6812632835667.7496554866063
0.781386.8966535789969.4262419062752
0.791402.5884040466570.4136904112938
0.81418.5865072026370.5428198097296
0.811434.6852576418869.6461688062497
0.821450.6607813711967.6208080293072
0.831466.3052548783264.4978347689112
0.841481.4798078412360.5274825563282
0.851496.1830869339656.2444199558193
0.861510.6258676555652.5108550636975
0.871525.295210060650.5052159453943
0.881540.9869521446551.5394076891775
0.891558.7875810388856.5927728894717
0.91580.0029346811365.7757931608521
0.911606.0672475742278.2436206788975
0.921638.5130535176692.6445372350637
0.931679.09976813824107.983243124949
0.941730.11132588246124.701808856512
0.951794.57665096883144.782192241362
0.961875.77212414369168.629698148733
0.971974.99648029835189.637992671282
0.982086.65782524959195.366532338776
0.992191.71384570333183.591052609088


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')