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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 05 Mar 2010 06:15:09 -0700
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/Mar/05/t1267795070qfxqr3865sydj9t.htm/, Retrieved Sat, 22 Jan 2022 18:37:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74002, Retrieved Sat, 22 Jan 2022 18:37:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKdGP1W42
Estimated Impact145
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Werkloosheid] [2010-03-05 13:15:09] [4942f64bbdc4cce21b299a740a533758] [Current]
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Dataseries X:
43657
42811
45419
50846
54500
51035
38675
36214
38763
39486
40540
40719
40471
39947
42683
47090
51520
48823
36122
33812
36928
37737
40123
41713
42025
42169
46352
50939
56139
52713
38532
37860
40880
41988
44576
46728
46913
49357
54709
60819
63695
60109
45544
43596
44431
45575
47980
49211
51374
52954
57529
62960
64530
61008
44964
43480
45429
47616
49364
51010
53188
55317
60106
65845
67028
63617
47605
45844
47925
50156
52258
53476
54327
55214
59347
64718
66208
62744
45587
43684
45676
47088
48907
50964
51798




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=74002&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=74002&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74002&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'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0134562.51333826331683.05380086253
0.0235502.26086447921086.03695840707
0.0336255.6880260100861.097246989234
0.0436817.8480055311860.185439511343
0.0537277.5752190003875.721013069827
0.0637684.5082145683865.374768456929
0.0738054.763277405849.195250436725
0.0838395.6902060315844.992158619343
0.0938714.5384117007854.616766551732
0.139017.7843542092869.824340425576
0.1139309.5087864372881.485154803235
0.1239591.3919659838885.494192330631
0.1339863.8721318240883.601245389514
0.1440127.4294807028881.78508213975
0.1540383.3107523624885.879418575014
0.1640633.5342444787898.783352677203
0.1740880.4048218624919.41662438167
0.1841125.9152323747944.243960691886
0.1941371.3378511299969.049803181649
0.241617.1286824496990.8528971762
0.2141863.09343763351008.30134272888
0.2242108.67591933371021.43823854334
0.2342353.22946711761031.09671251192
0.2442596.18737665091038.11197176968
0.2542837.11320098631043.14816054311
0.2643075.65716899811046.07043648989
0.2743311.46330043111046.70284509267
0.2843544.07098040151044.05637272864
0.2943772.84604314441036.98454564587
0.343996.9663579631024.52942083714
0.3144215.475924391005.59047606213
0.3244427.4074043066980.513761619146
0.3344631.9555823206950.149135376765
0.3444828.6671313323916.981845093475
0.3545017.6015455993884.35172619729
0.3645199.4196561392855.869195505845
0.3745375.3712261752835.068574894109
0.3845547.1779991004824.707243042171
0.3945716.8355772065825.510493907796
0.445886.3780370333836.799993525653
0.4146057.6569174763856.455404279863
0.4246232.1792839525882.027058049254
0.4346411.0309298705910.565818561321
0.4446594.8868280595940.234367134595
0.4546784.0891185221969.594874487955
0.4646978.7591640817998.30974681876
0.4747178.90727743241026.43245711512
0.4847384.51075297591054.40024634135
0.4947595.54417418281082.23084343228
0.547811.96083569321109.81628269607
0.5148033.63638583781136.51360580912
0.5248260.29318438791161.35035760227
0.5348491.42623724651182.64344573392
0.5448726.25025652991198.99269589938
0.5548963.68408090321208.56077383367
0.5649202.38434878241210.08865991251
0.5749440.83480029121202.76902847361
0.5849677.49006185121186.45498114470
0.5949910.96276031441162.24359078201
0.650140.23124431541132.30282937605
0.6150364.83478995341099.90992848733
0.6250585.01784988571069.30721527925
0.6350801.78824124371044.92499543851
0.6451016.86760739551030.71667957193
0.6551232.53419803911029.51526028827
0.6651451.38301056981042.13110906678
0.6751676.050011591067.65498012320
0.6851908.95955681551103.52921098132
0.6952152.1539521861146.62935047814
0.752407.25142858751193.75465120407
0.7152675.55619983171243.01961543334
0.7252958.31488599441293.914326872
0.7353257.07964323161347.98400259957
0.7453574.10152829061409.01054675265
0.7553912.64181610711482.02315453154
0.7654277.06404995041572.75604703500
0.7754672.57304427561685.10602486018
0.7855104.51971569861818.84319724769
0.7955577.30456238961967.68630888506
0.856093.07445540522118.47364533145
0.8156650.56638279492253.12153731992
0.8257244.52567841792352.34515033716
0.8357866.03409172112400.76907880055
0.8458503.79907363362391.3619870019
0.8559146.05835509752327.97736605524
0.8659782.42910985662223.5388697911
0.8760404.99765811772094.69778605107
0.8861008.3161097951954.73748787657
0.8961588.62248689291808.91440483506
0.962143.16329287161656.05115219772
0.9162670.54279220551495.89789131227
0.9263172.3506462511336.39107496098
0.9363655.15117170971194.79652495827
0.9464130.89507783131089.72525741455
0.9564613.98929546451024.89470807550
0.9665115.8323274975974.295247143703
0.9765641.0535835057892.884665785251
0.9866183.3137714239780.3210026813
0.9966694.6039302682742.596521353944

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 34562.5133382633 & 1683.05380086253 \tabularnewline
0.02 & 35502.2608644792 & 1086.03695840707 \tabularnewline
0.03 & 36255.6880260100 & 861.097246989234 \tabularnewline
0.04 & 36817.8480055311 & 860.185439511343 \tabularnewline
0.05 & 37277.5752190003 & 875.721013069827 \tabularnewline
0.06 & 37684.5082145683 & 865.374768456929 \tabularnewline
0.07 & 38054.763277405 & 849.195250436725 \tabularnewline
0.08 & 38395.6902060315 & 844.992158619343 \tabularnewline
0.09 & 38714.5384117007 & 854.616766551732 \tabularnewline
0.1 & 39017.7843542092 & 869.824340425576 \tabularnewline
0.11 & 39309.5087864372 & 881.485154803235 \tabularnewline
0.12 & 39591.3919659838 & 885.494192330631 \tabularnewline
0.13 & 39863.8721318240 & 883.601245389514 \tabularnewline
0.14 & 40127.4294807028 & 881.78508213975 \tabularnewline
0.15 & 40383.3107523624 & 885.879418575014 \tabularnewline
0.16 & 40633.5342444787 & 898.783352677203 \tabularnewline
0.17 & 40880.4048218624 & 919.41662438167 \tabularnewline
0.18 & 41125.9152323747 & 944.243960691886 \tabularnewline
0.19 & 41371.3378511299 & 969.049803181649 \tabularnewline
0.2 & 41617.1286824496 & 990.8528971762 \tabularnewline
0.21 & 41863.0934376335 & 1008.30134272888 \tabularnewline
0.22 & 42108.6759193337 & 1021.43823854334 \tabularnewline
0.23 & 42353.2294671176 & 1031.09671251192 \tabularnewline
0.24 & 42596.1873766509 & 1038.11197176968 \tabularnewline
0.25 & 42837.1132009863 & 1043.14816054311 \tabularnewline
0.26 & 43075.6571689981 & 1046.07043648989 \tabularnewline
0.27 & 43311.4633004311 & 1046.70284509267 \tabularnewline
0.28 & 43544.0709804015 & 1044.05637272864 \tabularnewline
0.29 & 43772.8460431444 & 1036.98454564587 \tabularnewline
0.3 & 43996.966357963 & 1024.52942083714 \tabularnewline
0.31 & 44215.47592439 & 1005.59047606213 \tabularnewline
0.32 & 44427.4074043066 & 980.513761619146 \tabularnewline
0.33 & 44631.9555823206 & 950.149135376765 \tabularnewline
0.34 & 44828.6671313323 & 916.981845093475 \tabularnewline
0.35 & 45017.6015455993 & 884.35172619729 \tabularnewline
0.36 & 45199.4196561392 & 855.869195505845 \tabularnewline
0.37 & 45375.3712261752 & 835.068574894109 \tabularnewline
0.38 & 45547.1779991004 & 824.707243042171 \tabularnewline
0.39 & 45716.8355772065 & 825.510493907796 \tabularnewline
0.4 & 45886.3780370333 & 836.799993525653 \tabularnewline
0.41 & 46057.6569174763 & 856.455404279863 \tabularnewline
0.42 & 46232.1792839525 & 882.027058049254 \tabularnewline
0.43 & 46411.0309298705 & 910.565818561321 \tabularnewline
0.44 & 46594.8868280595 & 940.234367134595 \tabularnewline
0.45 & 46784.0891185221 & 969.594874487955 \tabularnewline
0.46 & 46978.7591640817 & 998.30974681876 \tabularnewline
0.47 & 47178.9072774324 & 1026.43245711512 \tabularnewline
0.48 & 47384.5107529759 & 1054.40024634135 \tabularnewline
0.49 & 47595.5441741828 & 1082.23084343228 \tabularnewline
0.5 & 47811.9608356932 & 1109.81628269607 \tabularnewline
0.51 & 48033.6363858378 & 1136.51360580912 \tabularnewline
0.52 & 48260.2931843879 & 1161.35035760227 \tabularnewline
0.53 & 48491.4262372465 & 1182.64344573392 \tabularnewline
0.54 & 48726.2502565299 & 1198.99269589938 \tabularnewline
0.55 & 48963.6840809032 & 1208.56077383367 \tabularnewline
0.56 & 49202.3843487824 & 1210.08865991251 \tabularnewline
0.57 & 49440.8348002912 & 1202.76902847361 \tabularnewline
0.58 & 49677.4900618512 & 1186.45498114470 \tabularnewline
0.59 & 49910.9627603144 & 1162.24359078201 \tabularnewline
0.6 & 50140.2312443154 & 1132.30282937605 \tabularnewline
0.61 & 50364.8347899534 & 1099.90992848733 \tabularnewline
0.62 & 50585.0178498857 & 1069.30721527925 \tabularnewline
0.63 & 50801.7882412437 & 1044.92499543851 \tabularnewline
0.64 & 51016.8676073955 & 1030.71667957193 \tabularnewline
0.65 & 51232.5341980391 & 1029.51526028827 \tabularnewline
0.66 & 51451.3830105698 & 1042.13110906678 \tabularnewline
0.67 & 51676.05001159 & 1067.65498012320 \tabularnewline
0.68 & 51908.9595568155 & 1103.52921098132 \tabularnewline
0.69 & 52152.153952186 & 1146.62935047814 \tabularnewline
0.7 & 52407.2514285875 & 1193.75465120407 \tabularnewline
0.71 & 52675.5561998317 & 1243.01961543334 \tabularnewline
0.72 & 52958.3148859944 & 1293.914326872 \tabularnewline
0.73 & 53257.0796432316 & 1347.98400259957 \tabularnewline
0.74 & 53574.1015282906 & 1409.01054675265 \tabularnewline
0.75 & 53912.6418161071 & 1482.02315453154 \tabularnewline
0.76 & 54277.0640499504 & 1572.75604703500 \tabularnewline
0.77 & 54672.5730442756 & 1685.10602486018 \tabularnewline
0.78 & 55104.5197156986 & 1818.84319724769 \tabularnewline
0.79 & 55577.3045623896 & 1967.68630888506 \tabularnewline
0.8 & 56093.0744554052 & 2118.47364533145 \tabularnewline
0.81 & 56650.5663827949 & 2253.12153731992 \tabularnewline
0.82 & 57244.5256784179 & 2352.34515033716 \tabularnewline
0.83 & 57866.0340917211 & 2400.76907880055 \tabularnewline
0.84 & 58503.7990736336 & 2391.3619870019 \tabularnewline
0.85 & 59146.0583550975 & 2327.97736605524 \tabularnewline
0.86 & 59782.4291098566 & 2223.5388697911 \tabularnewline
0.87 & 60404.9976581177 & 2094.69778605107 \tabularnewline
0.88 & 61008.316109795 & 1954.73748787657 \tabularnewline
0.89 & 61588.6224868929 & 1808.91440483506 \tabularnewline
0.9 & 62143.1632928716 & 1656.05115219772 \tabularnewline
0.91 & 62670.5427922055 & 1495.89789131227 \tabularnewline
0.92 & 63172.350646251 & 1336.39107496098 \tabularnewline
0.93 & 63655.1511717097 & 1194.79652495827 \tabularnewline
0.94 & 64130.8950778313 & 1089.72525741455 \tabularnewline
0.95 & 64613.9892954645 & 1024.89470807550 \tabularnewline
0.96 & 65115.8323274975 & 974.295247143703 \tabularnewline
0.97 & 65641.0535835057 & 892.884665785251 \tabularnewline
0.98 & 66183.3137714239 & 780.3210026813 \tabularnewline
0.99 & 66694.6039302682 & 742.596521353944 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74002&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]34562.5133382633[/C][C]1683.05380086253[/C][/ROW]
[ROW][C]0.02[/C][C]35502.2608644792[/C][C]1086.03695840707[/C][/ROW]
[ROW][C]0.03[/C][C]36255.6880260100[/C][C]861.097246989234[/C][/ROW]
[ROW][C]0.04[/C][C]36817.8480055311[/C][C]860.185439511343[/C][/ROW]
[ROW][C]0.05[/C][C]37277.5752190003[/C][C]875.721013069827[/C][/ROW]
[ROW][C]0.06[/C][C]37684.5082145683[/C][C]865.374768456929[/C][/ROW]
[ROW][C]0.07[/C][C]38054.763277405[/C][C]849.195250436725[/C][/ROW]
[ROW][C]0.08[/C][C]38395.6902060315[/C][C]844.992158619343[/C][/ROW]
[ROW][C]0.09[/C][C]38714.5384117007[/C][C]854.616766551732[/C][/ROW]
[ROW][C]0.1[/C][C]39017.7843542092[/C][C]869.824340425576[/C][/ROW]
[ROW][C]0.11[/C][C]39309.5087864372[/C][C]881.485154803235[/C][/ROW]
[ROW][C]0.12[/C][C]39591.3919659838[/C][C]885.494192330631[/C][/ROW]
[ROW][C]0.13[/C][C]39863.8721318240[/C][C]883.601245389514[/C][/ROW]
[ROW][C]0.14[/C][C]40127.4294807028[/C][C]881.78508213975[/C][/ROW]
[ROW][C]0.15[/C][C]40383.3107523624[/C][C]885.879418575014[/C][/ROW]
[ROW][C]0.16[/C][C]40633.5342444787[/C][C]898.783352677203[/C][/ROW]
[ROW][C]0.17[/C][C]40880.4048218624[/C][C]919.41662438167[/C][/ROW]
[ROW][C]0.18[/C][C]41125.9152323747[/C][C]944.243960691886[/C][/ROW]
[ROW][C]0.19[/C][C]41371.3378511299[/C][C]969.049803181649[/C][/ROW]
[ROW][C]0.2[/C][C]41617.1286824496[/C][C]990.8528971762[/C][/ROW]
[ROW][C]0.21[/C][C]41863.0934376335[/C][C]1008.30134272888[/C][/ROW]
[ROW][C]0.22[/C][C]42108.6759193337[/C][C]1021.43823854334[/C][/ROW]
[ROW][C]0.23[/C][C]42353.2294671176[/C][C]1031.09671251192[/C][/ROW]
[ROW][C]0.24[/C][C]42596.1873766509[/C][C]1038.11197176968[/C][/ROW]
[ROW][C]0.25[/C][C]42837.1132009863[/C][C]1043.14816054311[/C][/ROW]
[ROW][C]0.26[/C][C]43075.6571689981[/C][C]1046.07043648989[/C][/ROW]
[ROW][C]0.27[/C][C]43311.4633004311[/C][C]1046.70284509267[/C][/ROW]
[ROW][C]0.28[/C][C]43544.0709804015[/C][C]1044.05637272864[/C][/ROW]
[ROW][C]0.29[/C][C]43772.8460431444[/C][C]1036.98454564587[/C][/ROW]
[ROW][C]0.3[/C][C]43996.966357963[/C][C]1024.52942083714[/C][/ROW]
[ROW][C]0.31[/C][C]44215.47592439[/C][C]1005.59047606213[/C][/ROW]
[ROW][C]0.32[/C][C]44427.4074043066[/C][C]980.513761619146[/C][/ROW]
[ROW][C]0.33[/C][C]44631.9555823206[/C][C]950.149135376765[/C][/ROW]
[ROW][C]0.34[/C][C]44828.6671313323[/C][C]916.981845093475[/C][/ROW]
[ROW][C]0.35[/C][C]45017.6015455993[/C][C]884.35172619729[/C][/ROW]
[ROW][C]0.36[/C][C]45199.4196561392[/C][C]855.869195505845[/C][/ROW]
[ROW][C]0.37[/C][C]45375.3712261752[/C][C]835.068574894109[/C][/ROW]
[ROW][C]0.38[/C][C]45547.1779991004[/C][C]824.707243042171[/C][/ROW]
[ROW][C]0.39[/C][C]45716.8355772065[/C][C]825.510493907796[/C][/ROW]
[ROW][C]0.4[/C][C]45886.3780370333[/C][C]836.799993525653[/C][/ROW]
[ROW][C]0.41[/C][C]46057.6569174763[/C][C]856.455404279863[/C][/ROW]
[ROW][C]0.42[/C][C]46232.1792839525[/C][C]882.027058049254[/C][/ROW]
[ROW][C]0.43[/C][C]46411.0309298705[/C][C]910.565818561321[/C][/ROW]
[ROW][C]0.44[/C][C]46594.8868280595[/C][C]940.234367134595[/C][/ROW]
[ROW][C]0.45[/C][C]46784.0891185221[/C][C]969.594874487955[/C][/ROW]
[ROW][C]0.46[/C][C]46978.7591640817[/C][C]998.30974681876[/C][/ROW]
[ROW][C]0.47[/C][C]47178.9072774324[/C][C]1026.43245711512[/C][/ROW]
[ROW][C]0.48[/C][C]47384.5107529759[/C][C]1054.40024634135[/C][/ROW]
[ROW][C]0.49[/C][C]47595.5441741828[/C][C]1082.23084343228[/C][/ROW]
[ROW][C]0.5[/C][C]47811.9608356932[/C][C]1109.81628269607[/C][/ROW]
[ROW][C]0.51[/C][C]48033.6363858378[/C][C]1136.51360580912[/C][/ROW]
[ROW][C]0.52[/C][C]48260.2931843879[/C][C]1161.35035760227[/C][/ROW]
[ROW][C]0.53[/C][C]48491.4262372465[/C][C]1182.64344573392[/C][/ROW]
[ROW][C]0.54[/C][C]48726.2502565299[/C][C]1198.99269589938[/C][/ROW]
[ROW][C]0.55[/C][C]48963.6840809032[/C][C]1208.56077383367[/C][/ROW]
[ROW][C]0.56[/C][C]49202.3843487824[/C][C]1210.08865991251[/C][/ROW]
[ROW][C]0.57[/C][C]49440.8348002912[/C][C]1202.76902847361[/C][/ROW]
[ROW][C]0.58[/C][C]49677.4900618512[/C][C]1186.45498114470[/C][/ROW]
[ROW][C]0.59[/C][C]49910.9627603144[/C][C]1162.24359078201[/C][/ROW]
[ROW][C]0.6[/C][C]50140.2312443154[/C][C]1132.30282937605[/C][/ROW]
[ROW][C]0.61[/C][C]50364.8347899534[/C][C]1099.90992848733[/C][/ROW]
[ROW][C]0.62[/C][C]50585.0178498857[/C][C]1069.30721527925[/C][/ROW]
[ROW][C]0.63[/C][C]50801.7882412437[/C][C]1044.92499543851[/C][/ROW]
[ROW][C]0.64[/C][C]51016.8676073955[/C][C]1030.71667957193[/C][/ROW]
[ROW][C]0.65[/C][C]51232.5341980391[/C][C]1029.51526028827[/C][/ROW]
[ROW][C]0.66[/C][C]51451.3830105698[/C][C]1042.13110906678[/C][/ROW]
[ROW][C]0.67[/C][C]51676.05001159[/C][C]1067.65498012320[/C][/ROW]
[ROW][C]0.68[/C][C]51908.9595568155[/C][C]1103.52921098132[/C][/ROW]
[ROW][C]0.69[/C][C]52152.153952186[/C][C]1146.62935047814[/C][/ROW]
[ROW][C]0.7[/C][C]52407.2514285875[/C][C]1193.75465120407[/C][/ROW]
[ROW][C]0.71[/C][C]52675.5561998317[/C][C]1243.01961543334[/C][/ROW]
[ROW][C]0.72[/C][C]52958.3148859944[/C][C]1293.914326872[/C][/ROW]
[ROW][C]0.73[/C][C]53257.0796432316[/C][C]1347.98400259957[/C][/ROW]
[ROW][C]0.74[/C][C]53574.1015282906[/C][C]1409.01054675265[/C][/ROW]
[ROW][C]0.75[/C][C]53912.6418161071[/C][C]1482.02315453154[/C][/ROW]
[ROW][C]0.76[/C][C]54277.0640499504[/C][C]1572.75604703500[/C][/ROW]
[ROW][C]0.77[/C][C]54672.5730442756[/C][C]1685.10602486018[/C][/ROW]
[ROW][C]0.78[/C][C]55104.5197156986[/C][C]1818.84319724769[/C][/ROW]
[ROW][C]0.79[/C][C]55577.3045623896[/C][C]1967.68630888506[/C][/ROW]
[ROW][C]0.8[/C][C]56093.0744554052[/C][C]2118.47364533145[/C][/ROW]
[ROW][C]0.81[/C][C]56650.5663827949[/C][C]2253.12153731992[/C][/ROW]
[ROW][C]0.82[/C][C]57244.5256784179[/C][C]2352.34515033716[/C][/ROW]
[ROW][C]0.83[/C][C]57866.0340917211[/C][C]2400.76907880055[/C][/ROW]
[ROW][C]0.84[/C][C]58503.7990736336[/C][C]2391.3619870019[/C][/ROW]
[ROW][C]0.85[/C][C]59146.0583550975[/C][C]2327.97736605524[/C][/ROW]
[ROW][C]0.86[/C][C]59782.4291098566[/C][C]2223.5388697911[/C][/ROW]
[ROW][C]0.87[/C][C]60404.9976581177[/C][C]2094.69778605107[/C][/ROW]
[ROW][C]0.88[/C][C]61008.316109795[/C][C]1954.73748787657[/C][/ROW]
[ROW][C]0.89[/C][C]61588.6224868929[/C][C]1808.91440483506[/C][/ROW]
[ROW][C]0.9[/C][C]62143.1632928716[/C][C]1656.05115219772[/C][/ROW]
[ROW][C]0.91[/C][C]62670.5427922055[/C][C]1495.89789131227[/C][/ROW]
[ROW][C]0.92[/C][C]63172.350646251[/C][C]1336.39107496098[/C][/ROW]
[ROW][C]0.93[/C][C]63655.1511717097[/C][C]1194.79652495827[/C][/ROW]
[ROW][C]0.94[/C][C]64130.8950778313[/C][C]1089.72525741455[/C][/ROW]
[ROW][C]0.95[/C][C]64613.9892954645[/C][C]1024.89470807550[/C][/ROW]
[ROW][C]0.96[/C][C]65115.8323274975[/C][C]974.295247143703[/C][/ROW]
[ROW][C]0.97[/C][C]65641.0535835057[/C][C]892.884665785251[/C][/ROW]
[ROW][C]0.98[/C][C]66183.3137714239[/C][C]780.3210026813[/C][/ROW]
[ROW][C]0.99[/C][C]66694.6039302682[/C][C]742.596521353944[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74002&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74002&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
0.0134562.51333826331683.05380086253
0.0235502.26086447921086.03695840707
0.0336255.6880260100861.097246989234
0.0436817.8480055311860.185439511343
0.0537277.5752190003875.721013069827
0.0637684.5082145683865.374768456929
0.0738054.763277405849.195250436725
0.0838395.6902060315844.992158619343
0.0938714.5384117007854.616766551732
0.139017.7843542092869.824340425576
0.1139309.5087864372881.485154803235
0.1239591.3919659838885.494192330631
0.1339863.8721318240883.601245389514
0.1440127.4294807028881.78508213975
0.1540383.3107523624885.879418575014
0.1640633.5342444787898.783352677203
0.1740880.4048218624919.41662438167
0.1841125.9152323747944.243960691886
0.1941371.3378511299969.049803181649
0.241617.1286824496990.8528971762
0.2141863.09343763351008.30134272888
0.2242108.67591933371021.43823854334
0.2342353.22946711761031.09671251192
0.2442596.18737665091038.11197176968
0.2542837.11320098631043.14816054311
0.2643075.65716899811046.07043648989
0.2743311.46330043111046.70284509267
0.2843544.07098040151044.05637272864
0.2943772.84604314441036.98454564587
0.343996.9663579631024.52942083714
0.3144215.475924391005.59047606213
0.3244427.4074043066980.513761619146
0.3344631.9555823206950.149135376765
0.3444828.6671313323916.981845093475
0.3545017.6015455993884.35172619729
0.3645199.4196561392855.869195505845
0.3745375.3712261752835.068574894109
0.3845547.1779991004824.707243042171
0.3945716.8355772065825.510493907796
0.445886.3780370333836.799993525653
0.4146057.6569174763856.455404279863
0.4246232.1792839525882.027058049254
0.4346411.0309298705910.565818561321
0.4446594.8868280595940.234367134595
0.4546784.0891185221969.594874487955
0.4646978.7591640817998.30974681876
0.4747178.90727743241026.43245711512
0.4847384.51075297591054.40024634135
0.4947595.54417418281082.23084343228
0.547811.96083569321109.81628269607
0.5148033.63638583781136.51360580912
0.5248260.29318438791161.35035760227
0.5348491.42623724651182.64344573392
0.5448726.25025652991198.99269589938
0.5548963.68408090321208.56077383367
0.5649202.38434878241210.08865991251
0.5749440.83480029121202.76902847361
0.5849677.49006185121186.45498114470
0.5949910.96276031441162.24359078201
0.650140.23124431541132.30282937605
0.6150364.83478995341099.90992848733
0.6250585.01784988571069.30721527925
0.6350801.78824124371044.92499543851
0.6451016.86760739551030.71667957193
0.6551232.53419803911029.51526028827
0.6651451.38301056981042.13110906678
0.6751676.050011591067.65498012320
0.6851908.95955681551103.52921098132
0.6952152.1539521861146.62935047814
0.752407.25142858751193.75465120407
0.7152675.55619983171243.01961543334
0.7252958.31488599441293.914326872
0.7353257.07964323161347.98400259957
0.7453574.10152829061409.01054675265
0.7553912.64181610711482.02315453154
0.7654277.06404995041572.75604703500
0.7754672.57304427561685.10602486018
0.7855104.51971569861818.84319724769
0.7955577.30456238961967.68630888506
0.856093.07445540522118.47364533145
0.8156650.56638279492253.12153731992
0.8257244.52567841792352.34515033716
0.8357866.03409172112400.76907880055
0.8458503.79907363362391.3619870019
0.8559146.05835509752327.97736605524
0.8659782.42910985662223.5388697911
0.8760404.99765811772094.69778605107
0.8861008.3161097951954.73748787657
0.8961588.62248689291808.91440483506
0.962143.16329287161656.05115219772
0.9162670.54279220551495.89789131227
0.9263172.3506462511336.39107496098
0.9363655.15117170971194.79652495827
0.9464130.89507783131089.72525741455
0.9564613.98929546451024.89470807550
0.9665115.8323274975974.295247143703
0.9765641.0535835057892.884665785251
0.9866183.3137714239780.3210026813
0.9966694.6039302682742.596521353944



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')