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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 21 Oct 2007 11:09:25 -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/2007/Oct/21/wl7ldwfezpvp3lr1192989940.htm/, Retrieved Thu, 09 May 2024 11:32:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1311, Retrieved Thu, 09 May 2024 11:32:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ5, error, confidence interval
Estimated Impact199
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Prediction error] [2007-10-21 18:09:25] [919a0fafa615dc0e3c6b6d22cd1007a0] [Current]
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Dataseries X:
0,99
0,92
0,93
0,93
1,07
0,85
1,03
0,99
0,91
0,79
0,98
0,99
0,91
0,88
0,83
0,83
1,02
0,82
1,03
0,91
0,81
0,74
0,99
0,97
0,85
0,86
0,78
0,79
0,93
0,74
0,89
0,84
0,82
0,73
0,92
0,92
0,88
0,82
0,77
0,83
0,92
0,76
0,87
0,82
0,80
0,71
0,83
0,91
0,87
0,78
0,75
0,76
0,92
0,74
0,82
0,77
0,78
0,68
0,85
0,90
0,87




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1311&T=0

[TABLE]
[ROW][C]Summary of compuational 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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1311&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1311&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.6874780245219610.0269573944933363
0.020.6985143266311470.0234663563270153
0.030.709844996340990.019898101790598
0.040.719584586335730.0164973985000073
0.050.7272633143850120.0135200236899052
0.060.7331660423307540.0113530379065303
0.070.7378075321110760.0102555318123724
0.080.741675660513070.0101439448988436
0.090.7451404253299380.0106454297830635
0.10.7484389570104530.0113567511168418
0.110.7516938217988880.0120038016021861
0.120.7549453303696750.0124566565619037
0.130.7581861127455520.0126938786083839
0.140.7613901511324420.0127603271073115
0.150.7645325421789880.012730091554938
0.160.7675998577000530.0126820474023146
0.170.7705931265108840.0126835863914231
0.180.773526087218430.0127867341866925
0.190.776420999854910.0130168589419847
0.20.7793035950410870.0133792638239547
0.210.782198116917390.0138502575294115
0.220.7851230377098310.0143843141006615
0.230.7880878464657270.0149204497755614
0.240.791091222684660.0153906854905040
0.250.7941207933983010.0157301860536652
0.260.7971544958031590.0158878669513172
0.270.8001633435124950.0158340406664293
0.280.8031151759141510.0155622721024531
0.290.805978815990420.0150927825940047
0.30.8087280131660870.0144685093678446
0.310.8113446149284370.0137473184287137
0.320.8138205743148930.0129991295856794
0.330.8161586184960370.0122936356537062
0.340.8183716269877770.0116946193511517
0.350.8204809521777990.0112529429085974
0.360.8225140307952410.010999659627745
0.370.8245016733474870.0109464198725327
0.380.8264753883722560.0110853666437776
0.390.8284650210579380.0113934494815145
0.40.8304968873977370.0118377710108104
0.410.8325924888083690.0123815303981410
0.420.8347678136513140.0129872303156284
0.430.837033177710170.0136196681678444
0.440.8393935239203030.0142476384269921
0.450.8418490863355680.0148462726424358
0.460.8443963170750460.0153968574410418
0.470.8470289719879260.0158888458140516
0.480.8497392481438540.0163170168398825
0.490.8525188642545780.0166835964786100
0.50.8553599763912380.0169958250296389
0.510.8582558297095790.0172662956343239
0.520.8612010660709530.0175061026742448
0.530.8641916398474020.0177271432733880
0.540.8672243397505650.0179354792646741
0.550.8702959698207070.0181320155244646
0.560.8734023007074450.0183077662975503
0.570.8765369529736030.0184463808146833
0.580.879690405932220.0185246727014246
0.590.8828493284521980.0185138103656993
0.60.8859963967644620.0183855781746181
0.610.8891107002920840.0181164266371800
0.620.8921687499064180.0176897336530753
0.630.895146010761840.0171020082981199
0.640.8980188042588310.0163625277823769
0.650.900766378920430.0154943700489033
0.660.9033729485945620.0145319815828029
0.670.905829537364960.0135203292570985
0.680.9081355402772590.0125093891760375
0.690.9102999839925860.0115538848908445
0.70.9123425241054110.0107123284371675
0.710.9142942215186130.0100453762165042
0.720.9161980845306090.00961840694887808
0.730.918109247429110.00950056056842361
0.740.9200945007536010.00975759221647046
0.750.9222307335011820.0104431663572113
0.760.924601752390260.0115801587363620
0.770.9272929791132250.0131521161314924
0.780.9303837632924940.0150986330666529
0.790.9339375321832530.0173052540392484
0.80.937990717698340.0196074476016893
0.810.9425422585588950.0217947446358812
0.820.947546264825930.023629841040952
0.830.9529108525355070.0248804178650263
0.840.9585058634881610.0253629722171458
0.850.9641808867999360.0249884910510709
0.860.9697925788604120.023802452480233
0.870.9752369410863720.0220061083343501
0.880.980478637416160.0199516220897085
0.890.985566913994880.0181027036227214
0.90.99062821416410.0169250032337177
0.910.9958316310670250.0166699999186468
0.921.001336857751020.0171506672653043
0.931.007254056781710.0177773514719896
0.941.013661278662930.0178932968299711
0.951.020711935162180.0172482830632603
0.961.028781064621580.0166009255666754
0.971.038427149754310.0181401809021045
0.981.049811987276600.023808545265327
0.991.061531804601370.0322865204651344

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.687478024521961 & 0.0269573944933363 \tabularnewline
0.02 & 0.698514326631147 & 0.0234663563270153 \tabularnewline
0.03 & 0.70984499634099 & 0.019898101790598 \tabularnewline
0.04 & 0.71958458633573 & 0.0164973985000073 \tabularnewline
0.05 & 0.727263314385012 & 0.0135200236899052 \tabularnewline
0.06 & 0.733166042330754 & 0.0113530379065303 \tabularnewline
0.07 & 0.737807532111076 & 0.0102555318123724 \tabularnewline
0.08 & 0.74167566051307 & 0.0101439448988436 \tabularnewline
0.09 & 0.745140425329938 & 0.0106454297830635 \tabularnewline
0.1 & 0.748438957010453 & 0.0113567511168418 \tabularnewline
0.11 & 0.751693821798888 & 0.0120038016021861 \tabularnewline
0.12 & 0.754945330369675 & 0.0124566565619037 \tabularnewline
0.13 & 0.758186112745552 & 0.0126938786083839 \tabularnewline
0.14 & 0.761390151132442 & 0.0127603271073115 \tabularnewline
0.15 & 0.764532542178988 & 0.012730091554938 \tabularnewline
0.16 & 0.767599857700053 & 0.0126820474023146 \tabularnewline
0.17 & 0.770593126510884 & 0.0126835863914231 \tabularnewline
0.18 & 0.77352608721843 & 0.0127867341866925 \tabularnewline
0.19 & 0.77642099985491 & 0.0130168589419847 \tabularnewline
0.2 & 0.779303595041087 & 0.0133792638239547 \tabularnewline
0.21 & 0.78219811691739 & 0.0138502575294115 \tabularnewline
0.22 & 0.785123037709831 & 0.0143843141006615 \tabularnewline
0.23 & 0.788087846465727 & 0.0149204497755614 \tabularnewline
0.24 & 0.79109122268466 & 0.0153906854905040 \tabularnewline
0.25 & 0.794120793398301 & 0.0157301860536652 \tabularnewline
0.26 & 0.797154495803159 & 0.0158878669513172 \tabularnewline
0.27 & 0.800163343512495 & 0.0158340406664293 \tabularnewline
0.28 & 0.803115175914151 & 0.0155622721024531 \tabularnewline
0.29 & 0.80597881599042 & 0.0150927825940047 \tabularnewline
0.3 & 0.808728013166087 & 0.0144685093678446 \tabularnewline
0.31 & 0.811344614928437 & 0.0137473184287137 \tabularnewline
0.32 & 0.813820574314893 & 0.0129991295856794 \tabularnewline
0.33 & 0.816158618496037 & 0.0122936356537062 \tabularnewline
0.34 & 0.818371626987777 & 0.0116946193511517 \tabularnewline
0.35 & 0.820480952177799 & 0.0112529429085974 \tabularnewline
0.36 & 0.822514030795241 & 0.010999659627745 \tabularnewline
0.37 & 0.824501673347487 & 0.0109464198725327 \tabularnewline
0.38 & 0.826475388372256 & 0.0110853666437776 \tabularnewline
0.39 & 0.828465021057938 & 0.0113934494815145 \tabularnewline
0.4 & 0.830496887397737 & 0.0118377710108104 \tabularnewline
0.41 & 0.832592488808369 & 0.0123815303981410 \tabularnewline
0.42 & 0.834767813651314 & 0.0129872303156284 \tabularnewline
0.43 & 0.83703317771017 & 0.0136196681678444 \tabularnewline
0.44 & 0.839393523920303 & 0.0142476384269921 \tabularnewline
0.45 & 0.841849086335568 & 0.0148462726424358 \tabularnewline
0.46 & 0.844396317075046 & 0.0153968574410418 \tabularnewline
0.47 & 0.847028971987926 & 0.0158888458140516 \tabularnewline
0.48 & 0.849739248143854 & 0.0163170168398825 \tabularnewline
0.49 & 0.852518864254578 & 0.0166835964786100 \tabularnewline
0.5 & 0.855359976391238 & 0.0169958250296389 \tabularnewline
0.51 & 0.858255829709579 & 0.0172662956343239 \tabularnewline
0.52 & 0.861201066070953 & 0.0175061026742448 \tabularnewline
0.53 & 0.864191639847402 & 0.0177271432733880 \tabularnewline
0.54 & 0.867224339750565 & 0.0179354792646741 \tabularnewline
0.55 & 0.870295969820707 & 0.0181320155244646 \tabularnewline
0.56 & 0.873402300707445 & 0.0183077662975503 \tabularnewline
0.57 & 0.876536952973603 & 0.0184463808146833 \tabularnewline
0.58 & 0.87969040593222 & 0.0185246727014246 \tabularnewline
0.59 & 0.882849328452198 & 0.0185138103656993 \tabularnewline
0.6 & 0.885996396764462 & 0.0183855781746181 \tabularnewline
0.61 & 0.889110700292084 & 0.0181164266371800 \tabularnewline
0.62 & 0.892168749906418 & 0.0176897336530753 \tabularnewline
0.63 & 0.89514601076184 & 0.0171020082981199 \tabularnewline
0.64 & 0.898018804258831 & 0.0163625277823769 \tabularnewline
0.65 & 0.90076637892043 & 0.0154943700489033 \tabularnewline
0.66 & 0.903372948594562 & 0.0145319815828029 \tabularnewline
0.67 & 0.90582953736496 & 0.0135203292570985 \tabularnewline
0.68 & 0.908135540277259 & 0.0125093891760375 \tabularnewline
0.69 & 0.910299983992586 & 0.0115538848908445 \tabularnewline
0.7 & 0.912342524105411 & 0.0107123284371675 \tabularnewline
0.71 & 0.914294221518613 & 0.0100453762165042 \tabularnewline
0.72 & 0.916198084530609 & 0.00961840694887808 \tabularnewline
0.73 & 0.91810924742911 & 0.00950056056842361 \tabularnewline
0.74 & 0.920094500753601 & 0.00975759221647046 \tabularnewline
0.75 & 0.922230733501182 & 0.0104431663572113 \tabularnewline
0.76 & 0.92460175239026 & 0.0115801587363620 \tabularnewline
0.77 & 0.927292979113225 & 0.0131521161314924 \tabularnewline
0.78 & 0.930383763292494 & 0.0150986330666529 \tabularnewline
0.79 & 0.933937532183253 & 0.0173052540392484 \tabularnewline
0.8 & 0.93799071769834 & 0.0196074476016893 \tabularnewline
0.81 & 0.942542258558895 & 0.0217947446358812 \tabularnewline
0.82 & 0.94754626482593 & 0.023629841040952 \tabularnewline
0.83 & 0.952910852535507 & 0.0248804178650263 \tabularnewline
0.84 & 0.958505863488161 & 0.0253629722171458 \tabularnewline
0.85 & 0.964180886799936 & 0.0249884910510709 \tabularnewline
0.86 & 0.969792578860412 & 0.023802452480233 \tabularnewline
0.87 & 0.975236941086372 & 0.0220061083343501 \tabularnewline
0.88 & 0.98047863741616 & 0.0199516220897085 \tabularnewline
0.89 & 0.98556691399488 & 0.0181027036227214 \tabularnewline
0.9 & 0.9906282141641 & 0.0169250032337177 \tabularnewline
0.91 & 0.995831631067025 & 0.0166699999186468 \tabularnewline
0.92 & 1.00133685775102 & 0.0171506672653043 \tabularnewline
0.93 & 1.00725405678171 & 0.0177773514719896 \tabularnewline
0.94 & 1.01366127866293 & 0.0178932968299711 \tabularnewline
0.95 & 1.02071193516218 & 0.0172482830632603 \tabularnewline
0.96 & 1.02878106462158 & 0.0166009255666754 \tabularnewline
0.97 & 1.03842714975431 & 0.0181401809021045 \tabularnewline
0.98 & 1.04981198727660 & 0.023808545265327 \tabularnewline
0.99 & 1.06153180460137 & 0.0322865204651344 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1311&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]0.687478024521961[/C][C]0.0269573944933363[/C][/ROW]
[ROW][C]0.02[/C][C]0.698514326631147[/C][C]0.0234663563270153[/C][/ROW]
[ROW][C]0.03[/C][C]0.70984499634099[/C][C]0.019898101790598[/C][/ROW]
[ROW][C]0.04[/C][C]0.71958458633573[/C][C]0.0164973985000073[/C][/ROW]
[ROW][C]0.05[/C][C]0.727263314385012[/C][C]0.0135200236899052[/C][/ROW]
[ROW][C]0.06[/C][C]0.733166042330754[/C][C]0.0113530379065303[/C][/ROW]
[ROW][C]0.07[/C][C]0.737807532111076[/C][C]0.0102555318123724[/C][/ROW]
[ROW][C]0.08[/C][C]0.74167566051307[/C][C]0.0101439448988436[/C][/ROW]
[ROW][C]0.09[/C][C]0.745140425329938[/C][C]0.0106454297830635[/C][/ROW]
[ROW][C]0.1[/C][C]0.748438957010453[/C][C]0.0113567511168418[/C][/ROW]
[ROW][C]0.11[/C][C]0.751693821798888[/C][C]0.0120038016021861[/C][/ROW]
[ROW][C]0.12[/C][C]0.754945330369675[/C][C]0.0124566565619037[/C][/ROW]
[ROW][C]0.13[/C][C]0.758186112745552[/C][C]0.0126938786083839[/C][/ROW]
[ROW][C]0.14[/C][C]0.761390151132442[/C][C]0.0127603271073115[/C][/ROW]
[ROW][C]0.15[/C][C]0.764532542178988[/C][C]0.012730091554938[/C][/ROW]
[ROW][C]0.16[/C][C]0.767599857700053[/C][C]0.0126820474023146[/C][/ROW]
[ROW][C]0.17[/C][C]0.770593126510884[/C][C]0.0126835863914231[/C][/ROW]
[ROW][C]0.18[/C][C]0.77352608721843[/C][C]0.0127867341866925[/C][/ROW]
[ROW][C]0.19[/C][C]0.77642099985491[/C][C]0.0130168589419847[/C][/ROW]
[ROW][C]0.2[/C][C]0.779303595041087[/C][C]0.0133792638239547[/C][/ROW]
[ROW][C]0.21[/C][C]0.78219811691739[/C][C]0.0138502575294115[/C][/ROW]
[ROW][C]0.22[/C][C]0.785123037709831[/C][C]0.0143843141006615[/C][/ROW]
[ROW][C]0.23[/C][C]0.788087846465727[/C][C]0.0149204497755614[/C][/ROW]
[ROW][C]0.24[/C][C]0.79109122268466[/C][C]0.0153906854905040[/C][/ROW]
[ROW][C]0.25[/C][C]0.794120793398301[/C][C]0.0157301860536652[/C][/ROW]
[ROW][C]0.26[/C][C]0.797154495803159[/C][C]0.0158878669513172[/C][/ROW]
[ROW][C]0.27[/C][C]0.800163343512495[/C][C]0.0158340406664293[/C][/ROW]
[ROW][C]0.28[/C][C]0.803115175914151[/C][C]0.0155622721024531[/C][/ROW]
[ROW][C]0.29[/C][C]0.80597881599042[/C][C]0.0150927825940047[/C][/ROW]
[ROW][C]0.3[/C][C]0.808728013166087[/C][C]0.0144685093678446[/C][/ROW]
[ROW][C]0.31[/C][C]0.811344614928437[/C][C]0.0137473184287137[/C][/ROW]
[ROW][C]0.32[/C][C]0.813820574314893[/C][C]0.0129991295856794[/C][/ROW]
[ROW][C]0.33[/C][C]0.816158618496037[/C][C]0.0122936356537062[/C][/ROW]
[ROW][C]0.34[/C][C]0.818371626987777[/C][C]0.0116946193511517[/C][/ROW]
[ROW][C]0.35[/C][C]0.820480952177799[/C][C]0.0112529429085974[/C][/ROW]
[ROW][C]0.36[/C][C]0.822514030795241[/C][C]0.010999659627745[/C][/ROW]
[ROW][C]0.37[/C][C]0.824501673347487[/C][C]0.0109464198725327[/C][/ROW]
[ROW][C]0.38[/C][C]0.826475388372256[/C][C]0.0110853666437776[/C][/ROW]
[ROW][C]0.39[/C][C]0.828465021057938[/C][C]0.0113934494815145[/C][/ROW]
[ROW][C]0.4[/C][C]0.830496887397737[/C][C]0.0118377710108104[/C][/ROW]
[ROW][C]0.41[/C][C]0.832592488808369[/C][C]0.0123815303981410[/C][/ROW]
[ROW][C]0.42[/C][C]0.834767813651314[/C][C]0.0129872303156284[/C][/ROW]
[ROW][C]0.43[/C][C]0.83703317771017[/C][C]0.0136196681678444[/C][/ROW]
[ROW][C]0.44[/C][C]0.839393523920303[/C][C]0.0142476384269921[/C][/ROW]
[ROW][C]0.45[/C][C]0.841849086335568[/C][C]0.0148462726424358[/C][/ROW]
[ROW][C]0.46[/C][C]0.844396317075046[/C][C]0.0153968574410418[/C][/ROW]
[ROW][C]0.47[/C][C]0.847028971987926[/C][C]0.0158888458140516[/C][/ROW]
[ROW][C]0.48[/C][C]0.849739248143854[/C][C]0.0163170168398825[/C][/ROW]
[ROW][C]0.49[/C][C]0.852518864254578[/C][C]0.0166835964786100[/C][/ROW]
[ROW][C]0.5[/C][C]0.855359976391238[/C][C]0.0169958250296389[/C][/ROW]
[ROW][C]0.51[/C][C]0.858255829709579[/C][C]0.0172662956343239[/C][/ROW]
[ROW][C]0.52[/C][C]0.861201066070953[/C][C]0.0175061026742448[/C][/ROW]
[ROW][C]0.53[/C][C]0.864191639847402[/C][C]0.0177271432733880[/C][/ROW]
[ROW][C]0.54[/C][C]0.867224339750565[/C][C]0.0179354792646741[/C][/ROW]
[ROW][C]0.55[/C][C]0.870295969820707[/C][C]0.0181320155244646[/C][/ROW]
[ROW][C]0.56[/C][C]0.873402300707445[/C][C]0.0183077662975503[/C][/ROW]
[ROW][C]0.57[/C][C]0.876536952973603[/C][C]0.0184463808146833[/C][/ROW]
[ROW][C]0.58[/C][C]0.87969040593222[/C][C]0.0185246727014246[/C][/ROW]
[ROW][C]0.59[/C][C]0.882849328452198[/C][C]0.0185138103656993[/C][/ROW]
[ROW][C]0.6[/C][C]0.885996396764462[/C][C]0.0183855781746181[/C][/ROW]
[ROW][C]0.61[/C][C]0.889110700292084[/C][C]0.0181164266371800[/C][/ROW]
[ROW][C]0.62[/C][C]0.892168749906418[/C][C]0.0176897336530753[/C][/ROW]
[ROW][C]0.63[/C][C]0.89514601076184[/C][C]0.0171020082981199[/C][/ROW]
[ROW][C]0.64[/C][C]0.898018804258831[/C][C]0.0163625277823769[/C][/ROW]
[ROW][C]0.65[/C][C]0.90076637892043[/C][C]0.0154943700489033[/C][/ROW]
[ROW][C]0.66[/C][C]0.903372948594562[/C][C]0.0145319815828029[/C][/ROW]
[ROW][C]0.67[/C][C]0.90582953736496[/C][C]0.0135203292570985[/C][/ROW]
[ROW][C]0.68[/C][C]0.908135540277259[/C][C]0.0125093891760375[/C][/ROW]
[ROW][C]0.69[/C][C]0.910299983992586[/C][C]0.0115538848908445[/C][/ROW]
[ROW][C]0.7[/C][C]0.912342524105411[/C][C]0.0107123284371675[/C][/ROW]
[ROW][C]0.71[/C][C]0.914294221518613[/C][C]0.0100453762165042[/C][/ROW]
[ROW][C]0.72[/C][C]0.916198084530609[/C][C]0.00961840694887808[/C][/ROW]
[ROW][C]0.73[/C][C]0.91810924742911[/C][C]0.00950056056842361[/C][/ROW]
[ROW][C]0.74[/C][C]0.920094500753601[/C][C]0.00975759221647046[/C][/ROW]
[ROW][C]0.75[/C][C]0.922230733501182[/C][C]0.0104431663572113[/C][/ROW]
[ROW][C]0.76[/C][C]0.92460175239026[/C][C]0.0115801587363620[/C][/ROW]
[ROW][C]0.77[/C][C]0.927292979113225[/C][C]0.0131521161314924[/C][/ROW]
[ROW][C]0.78[/C][C]0.930383763292494[/C][C]0.0150986330666529[/C][/ROW]
[ROW][C]0.79[/C][C]0.933937532183253[/C][C]0.0173052540392484[/C][/ROW]
[ROW][C]0.8[/C][C]0.93799071769834[/C][C]0.0196074476016893[/C][/ROW]
[ROW][C]0.81[/C][C]0.942542258558895[/C][C]0.0217947446358812[/C][/ROW]
[ROW][C]0.82[/C][C]0.94754626482593[/C][C]0.023629841040952[/C][/ROW]
[ROW][C]0.83[/C][C]0.952910852535507[/C][C]0.0248804178650263[/C][/ROW]
[ROW][C]0.84[/C][C]0.958505863488161[/C][C]0.0253629722171458[/C][/ROW]
[ROW][C]0.85[/C][C]0.964180886799936[/C][C]0.0249884910510709[/C][/ROW]
[ROW][C]0.86[/C][C]0.969792578860412[/C][C]0.023802452480233[/C][/ROW]
[ROW][C]0.87[/C][C]0.975236941086372[/C][C]0.0220061083343501[/C][/ROW]
[ROW][C]0.88[/C][C]0.98047863741616[/C][C]0.0199516220897085[/C][/ROW]
[ROW][C]0.89[/C][C]0.98556691399488[/C][C]0.0181027036227214[/C][/ROW]
[ROW][C]0.9[/C][C]0.9906282141641[/C][C]0.0169250032337177[/C][/ROW]
[ROW][C]0.91[/C][C]0.995831631067025[/C][C]0.0166699999186468[/C][/ROW]
[ROW][C]0.92[/C][C]1.00133685775102[/C][C]0.0171506672653043[/C][/ROW]
[ROW][C]0.93[/C][C]1.00725405678171[/C][C]0.0177773514719896[/C][/ROW]
[ROW][C]0.94[/C][C]1.01366127866293[/C][C]0.0178932968299711[/C][/ROW]
[ROW][C]0.95[/C][C]1.02071193516218[/C][C]0.0172482830632603[/C][/ROW]
[ROW][C]0.96[/C][C]1.02878106462158[/C][C]0.0166009255666754[/C][/ROW]
[ROW][C]0.97[/C][C]1.03842714975431[/C][C]0.0181401809021045[/C][/ROW]
[ROW][C]0.98[/C][C]1.04981198727660[/C][C]0.023808545265327[/C][/ROW]
[ROW][C]0.99[/C][C]1.06153180460137[/C][C]0.0322865204651344[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1311&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1311&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
0.010.6874780245219610.0269573944933363
0.020.6985143266311470.0234663563270153
0.030.709844996340990.019898101790598
0.040.719584586335730.0164973985000073
0.050.7272633143850120.0135200236899052
0.060.7331660423307540.0113530379065303
0.070.7378075321110760.0102555318123724
0.080.741675660513070.0101439448988436
0.090.7451404253299380.0106454297830635
0.10.7484389570104530.0113567511168418
0.110.7516938217988880.0120038016021861
0.120.7549453303696750.0124566565619037
0.130.7581861127455520.0126938786083839
0.140.7613901511324420.0127603271073115
0.150.7645325421789880.012730091554938
0.160.7675998577000530.0126820474023146
0.170.7705931265108840.0126835863914231
0.180.773526087218430.0127867341866925
0.190.776420999854910.0130168589419847
0.20.7793035950410870.0133792638239547
0.210.782198116917390.0138502575294115
0.220.7851230377098310.0143843141006615
0.230.7880878464657270.0149204497755614
0.240.791091222684660.0153906854905040
0.250.7941207933983010.0157301860536652
0.260.7971544958031590.0158878669513172
0.270.8001633435124950.0158340406664293
0.280.8031151759141510.0155622721024531
0.290.805978815990420.0150927825940047
0.30.8087280131660870.0144685093678446
0.310.8113446149284370.0137473184287137
0.320.8138205743148930.0129991295856794
0.330.8161586184960370.0122936356537062
0.340.8183716269877770.0116946193511517
0.350.8204809521777990.0112529429085974
0.360.8225140307952410.010999659627745
0.370.8245016733474870.0109464198725327
0.380.8264753883722560.0110853666437776
0.390.8284650210579380.0113934494815145
0.40.8304968873977370.0118377710108104
0.410.8325924888083690.0123815303981410
0.420.8347678136513140.0129872303156284
0.430.837033177710170.0136196681678444
0.440.8393935239203030.0142476384269921
0.450.8418490863355680.0148462726424358
0.460.8443963170750460.0153968574410418
0.470.8470289719879260.0158888458140516
0.480.8497392481438540.0163170168398825
0.490.8525188642545780.0166835964786100
0.50.8553599763912380.0169958250296389
0.510.8582558297095790.0172662956343239
0.520.8612010660709530.0175061026742448
0.530.8641916398474020.0177271432733880
0.540.8672243397505650.0179354792646741
0.550.8702959698207070.0181320155244646
0.560.8734023007074450.0183077662975503
0.570.8765369529736030.0184463808146833
0.580.879690405932220.0185246727014246
0.590.8828493284521980.0185138103656993
0.60.8859963967644620.0183855781746181
0.610.8891107002920840.0181164266371800
0.620.8921687499064180.0176897336530753
0.630.895146010761840.0171020082981199
0.640.8980188042588310.0163625277823769
0.650.900766378920430.0154943700489033
0.660.9033729485945620.0145319815828029
0.670.905829537364960.0135203292570985
0.680.9081355402772590.0125093891760375
0.690.9102999839925860.0115538848908445
0.70.9123425241054110.0107123284371675
0.710.9142942215186130.0100453762165042
0.720.9161980845306090.00961840694887808
0.730.918109247429110.00950056056842361
0.740.9200945007536010.00975759221647046
0.750.9222307335011820.0104431663572113
0.760.924601752390260.0115801587363620
0.770.9272929791132250.0131521161314924
0.780.9303837632924940.0150986330666529
0.790.9339375321832530.0173052540392484
0.80.937990717698340.0196074476016893
0.810.9425422585588950.0217947446358812
0.820.947546264825930.023629841040952
0.830.9529108525355070.0248804178650263
0.840.9585058634881610.0253629722171458
0.850.9641808867999360.0249884910510709
0.860.9697925788604120.023802452480233
0.870.9752369410863720.0220061083343501
0.880.980478637416160.0199516220897085
0.890.985566913994880.0181027036227214
0.90.99062821416410.0169250032337177
0.910.9958316310670250.0166699999186468
0.921.001336857751020.0171506672653043
0.931.007254056781710.0177773514719896
0.941.013661278662930.0178932968299711
0.951.020711935162180.0172482830632603
0.961.028781064621580.0166009255666754
0.971.038427149754310.0181401809021045
0.981.049811987276600.023808545265327
0.991.061531804601370.0322865204651344



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')