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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 16 Oct 2008 09:55:50 -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/2008/Oct/16/t1224172617yz1jjzw6vmvxi77.htm/, Retrieved Thu, 16 May 2024 01:10:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16368, Retrieved Thu, 16 May 2024 01:10:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact190
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrell-Davis Tij...] [2008-10-16 15:55:50] [e08fee3874f3333d6b7a377a061b860d] [Current]
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Dataseries X:
0.771
0.751
0.766
0.754
0.773
0.781
0.793
0.791
0.878
0.873
0.897
0.885
0.796
0.776
0.788
0.786
0.801
0.811
0.801
0.781
0.778
0.759
0.764
0.754
0.749
0.729
0.740
0.781
0.768
0.754
0.754
0.754
0.779
0.799
0.780
0.769
0.801
0.792
0.852
0.807
0.797
0.783
0.779
0.785
0.817
0.810
0.798
0.795
0.785
0.785
0.785
0.805
0.824
0.819
0.827
0.826
0.829
0.830
0.825
0.817




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16368&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16368&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16368&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.731764882531940.0101112440792716
0.020.7358988830952560.0090963172691501
0.030.7402215956557660.007917983273091
0.040.7439972066680360.00661732354243663
0.050.746987283904410.00531834318910529
0.060.7492405938190060.00418036914493542
0.070.7509124518262770.00331132852891203
0.080.7521731015845240.00276286802372716
0.090.7531746246488150.00256131818368969
0.10.754042750488090.00269828106987541
0.110.7548760736838680.00310708853021199
0.120.7557465797861360.00368802760753553
0.130.7567004958854150.00434259232536366
0.140.7577600767920190.00498414779833993
0.150.7589269241343850.00554572534734896
0.160.7601868327573380.00598378068199754
0.170.7615155501030720.00627658474357336
0.180.76288451756980.00642929877270878
0.190.7642657021384140.00646044728635135
0.20.7656349301624240.00639913135880076
0.210.7669735479927910.00627571477462207
0.220.768268610694590.00611337013618652
0.230.7695120461396160.00592955536195458
0.240.7706993252947720.00573189692293934
0.250.771828111135360.00551987327824293
0.260.7728972101455020.00529353911810967
0.270.7739059719073020.00505036546469732
0.280.7748541241259910.00479144820399002
0.290.7757419233856220.00452068202599653
0.30.7765704556822630.00424530614740404
0.310.777341928142660.00397554428140803
0.320.7780598371072180.0037230136309727
0.330.7787289576878240.00349547551634977
0.340.7793551580432020.00330205486266884
0.350.7799450853660290.00314767220790842
0.360.7805057937241140.0030330894669939
0.370.781044386007720.00295874725294467
0.380.7815677272064230.00292069608046543
0.390.7820822605416130.00291456645690017
0.40.7825939289590610.00293816409272367
0.410.7831081789326180.00298823953835641
0.420.7836300066107460.00306305895372522
0.430.7841640008951950.00316273207247760
0.440.7847143443094720.00328526164786168
0.450.7852847482658930.00342913591675412
0.460.7858783204623360.00359068558883819
0.470.7864973835708980.00376349643196165
0.480.7871432812280790.00394118120610699
0.490.7878162159498380.00411456042229512
0.50.788515162337380.00427513477404058
0.510.7892378884630640.00441401548234687
0.520.789981101288570.00452503768642881
0.530.7907407122734640.00460375419795914
0.540.7915122011098050.00464937201823197
0.550.7922910421176060.00466300076723052
0.560.7930731511116110.00464847586731086
0.570.7938553106003860.00461325737871755
0.580.7946355365785720.00456576980762467
0.590.7954133585939820.00451645670433818
0.60.7961899937867170.00447582712869673
0.610.7969684034270430.00445541891364952
0.620.7977532264531260.00446554727135391
0.630.7985505891311120.00451341873272044
0.640.7993677945492130.00460742753005833
0.650.800212901701170.00474867269902227
0.660.8010942123248250.00493717374338748
0.670.8020196941904050.00516902434615909
0.680.8029963805626740.00543408433285405
0.690.8040297943902910.00572107683989629
0.70.8051234493917670.00601551005405271
0.710.8062784763797180.00630212960337899
0.720.8074934115848730.00656511996253139
0.730.8087641668631440.0067899685244593
0.740.8100841849231630.00696405516027949
0.750.811444773832660.007078785008343
0.760.812835622421350.00712686259486947
0.770.814245528199640.0071047319520804
0.780.8156634231674860.00701527222076124
0.790.817079852475130.00686429017621959
0.80.8184891255746930.00666564106696737
0.810.819892382448830.0064433788899049
0.820.8213017445692970.00623862081657788
0.830.8227454842430450.00611611174351434
0.840.824273683326820.00617331111396223
0.850.8259631408161380.00653744309699755
0.860.8279194128739750.00734505838049435
0.870.830273100864240.00869087378919612
0.880.8331673588486630.0105804220925256
0.890.8367347775048940.0128998444986994
0.90.84106494908050.0153980607061454
0.910.8461691716979580.0176930577455630
0.920.8519547117424440.0193239440620108
0.930.8582248737013490.0198671170006197
0.940.8647181549179070.0190925892347568
0.950.8711843328178410.0171167510678630
0.960.8774634180104530.0144759581787794
0.970.8834916665493490.0120642738559694
0.980.8891469475004330.0108360348713263
0.990.893956829281310.0110482983003645

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.73176488253194 & 0.0101112440792716 \tabularnewline
0.02 & 0.735898883095256 & 0.0090963172691501 \tabularnewline
0.03 & 0.740221595655766 & 0.007917983273091 \tabularnewline
0.04 & 0.743997206668036 & 0.00661732354243663 \tabularnewline
0.05 & 0.74698728390441 & 0.00531834318910529 \tabularnewline
0.06 & 0.749240593819006 & 0.00418036914493542 \tabularnewline
0.07 & 0.750912451826277 & 0.00331132852891203 \tabularnewline
0.08 & 0.752173101584524 & 0.00276286802372716 \tabularnewline
0.09 & 0.753174624648815 & 0.00256131818368969 \tabularnewline
0.1 & 0.75404275048809 & 0.00269828106987541 \tabularnewline
0.11 & 0.754876073683868 & 0.00310708853021199 \tabularnewline
0.12 & 0.755746579786136 & 0.00368802760753553 \tabularnewline
0.13 & 0.756700495885415 & 0.00434259232536366 \tabularnewline
0.14 & 0.757760076792019 & 0.00498414779833993 \tabularnewline
0.15 & 0.758926924134385 & 0.00554572534734896 \tabularnewline
0.16 & 0.760186832757338 & 0.00598378068199754 \tabularnewline
0.17 & 0.761515550103072 & 0.00627658474357336 \tabularnewline
0.18 & 0.7628845175698 & 0.00642929877270878 \tabularnewline
0.19 & 0.764265702138414 & 0.00646044728635135 \tabularnewline
0.2 & 0.765634930162424 & 0.00639913135880076 \tabularnewline
0.21 & 0.766973547992791 & 0.00627571477462207 \tabularnewline
0.22 & 0.76826861069459 & 0.00611337013618652 \tabularnewline
0.23 & 0.769512046139616 & 0.00592955536195458 \tabularnewline
0.24 & 0.770699325294772 & 0.00573189692293934 \tabularnewline
0.25 & 0.77182811113536 & 0.00551987327824293 \tabularnewline
0.26 & 0.772897210145502 & 0.00529353911810967 \tabularnewline
0.27 & 0.773905971907302 & 0.00505036546469732 \tabularnewline
0.28 & 0.774854124125991 & 0.00479144820399002 \tabularnewline
0.29 & 0.775741923385622 & 0.00452068202599653 \tabularnewline
0.3 & 0.776570455682263 & 0.00424530614740404 \tabularnewline
0.31 & 0.77734192814266 & 0.00397554428140803 \tabularnewline
0.32 & 0.778059837107218 & 0.0037230136309727 \tabularnewline
0.33 & 0.778728957687824 & 0.00349547551634977 \tabularnewline
0.34 & 0.779355158043202 & 0.00330205486266884 \tabularnewline
0.35 & 0.779945085366029 & 0.00314767220790842 \tabularnewline
0.36 & 0.780505793724114 & 0.0030330894669939 \tabularnewline
0.37 & 0.78104438600772 & 0.00295874725294467 \tabularnewline
0.38 & 0.781567727206423 & 0.00292069608046543 \tabularnewline
0.39 & 0.782082260541613 & 0.00291456645690017 \tabularnewline
0.4 & 0.782593928959061 & 0.00293816409272367 \tabularnewline
0.41 & 0.783108178932618 & 0.00298823953835641 \tabularnewline
0.42 & 0.783630006610746 & 0.00306305895372522 \tabularnewline
0.43 & 0.784164000895195 & 0.00316273207247760 \tabularnewline
0.44 & 0.784714344309472 & 0.00328526164786168 \tabularnewline
0.45 & 0.785284748265893 & 0.00342913591675412 \tabularnewline
0.46 & 0.785878320462336 & 0.00359068558883819 \tabularnewline
0.47 & 0.786497383570898 & 0.00376349643196165 \tabularnewline
0.48 & 0.787143281228079 & 0.00394118120610699 \tabularnewline
0.49 & 0.787816215949838 & 0.00411456042229512 \tabularnewline
0.5 & 0.78851516233738 & 0.00427513477404058 \tabularnewline
0.51 & 0.789237888463064 & 0.00441401548234687 \tabularnewline
0.52 & 0.78998110128857 & 0.00452503768642881 \tabularnewline
0.53 & 0.790740712273464 & 0.00460375419795914 \tabularnewline
0.54 & 0.791512201109805 & 0.00464937201823197 \tabularnewline
0.55 & 0.792291042117606 & 0.00466300076723052 \tabularnewline
0.56 & 0.793073151111611 & 0.00464847586731086 \tabularnewline
0.57 & 0.793855310600386 & 0.00461325737871755 \tabularnewline
0.58 & 0.794635536578572 & 0.00456576980762467 \tabularnewline
0.59 & 0.795413358593982 & 0.00451645670433818 \tabularnewline
0.6 & 0.796189993786717 & 0.00447582712869673 \tabularnewline
0.61 & 0.796968403427043 & 0.00445541891364952 \tabularnewline
0.62 & 0.797753226453126 & 0.00446554727135391 \tabularnewline
0.63 & 0.798550589131112 & 0.00451341873272044 \tabularnewline
0.64 & 0.799367794549213 & 0.00460742753005833 \tabularnewline
0.65 & 0.80021290170117 & 0.00474867269902227 \tabularnewline
0.66 & 0.801094212324825 & 0.00493717374338748 \tabularnewline
0.67 & 0.802019694190405 & 0.00516902434615909 \tabularnewline
0.68 & 0.802996380562674 & 0.00543408433285405 \tabularnewline
0.69 & 0.804029794390291 & 0.00572107683989629 \tabularnewline
0.7 & 0.805123449391767 & 0.00601551005405271 \tabularnewline
0.71 & 0.806278476379718 & 0.00630212960337899 \tabularnewline
0.72 & 0.807493411584873 & 0.00656511996253139 \tabularnewline
0.73 & 0.808764166863144 & 0.0067899685244593 \tabularnewline
0.74 & 0.810084184923163 & 0.00696405516027949 \tabularnewline
0.75 & 0.81144477383266 & 0.007078785008343 \tabularnewline
0.76 & 0.81283562242135 & 0.00712686259486947 \tabularnewline
0.77 & 0.81424552819964 & 0.0071047319520804 \tabularnewline
0.78 & 0.815663423167486 & 0.00701527222076124 \tabularnewline
0.79 & 0.81707985247513 & 0.00686429017621959 \tabularnewline
0.8 & 0.818489125574693 & 0.00666564106696737 \tabularnewline
0.81 & 0.81989238244883 & 0.0064433788899049 \tabularnewline
0.82 & 0.821301744569297 & 0.00623862081657788 \tabularnewline
0.83 & 0.822745484243045 & 0.00611611174351434 \tabularnewline
0.84 & 0.82427368332682 & 0.00617331111396223 \tabularnewline
0.85 & 0.825963140816138 & 0.00653744309699755 \tabularnewline
0.86 & 0.827919412873975 & 0.00734505838049435 \tabularnewline
0.87 & 0.83027310086424 & 0.00869087378919612 \tabularnewline
0.88 & 0.833167358848663 & 0.0105804220925256 \tabularnewline
0.89 & 0.836734777504894 & 0.0128998444986994 \tabularnewline
0.9 & 0.8410649490805 & 0.0153980607061454 \tabularnewline
0.91 & 0.846169171697958 & 0.0176930577455630 \tabularnewline
0.92 & 0.851954711742444 & 0.0193239440620108 \tabularnewline
0.93 & 0.858224873701349 & 0.0198671170006197 \tabularnewline
0.94 & 0.864718154917907 & 0.0190925892347568 \tabularnewline
0.95 & 0.871184332817841 & 0.0171167510678630 \tabularnewline
0.96 & 0.877463418010453 & 0.0144759581787794 \tabularnewline
0.97 & 0.883491666549349 & 0.0120642738559694 \tabularnewline
0.98 & 0.889146947500433 & 0.0108360348713263 \tabularnewline
0.99 & 0.89395682928131 & 0.0110482983003645 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16368&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]0.73176488253194[/C][C]0.0101112440792716[/C][/ROW]
[ROW][C]0.02[/C][C]0.735898883095256[/C][C]0.0090963172691501[/C][/ROW]
[ROW][C]0.03[/C][C]0.740221595655766[/C][C]0.007917983273091[/C][/ROW]
[ROW][C]0.04[/C][C]0.743997206668036[/C][C]0.00661732354243663[/C][/ROW]
[ROW][C]0.05[/C][C]0.74698728390441[/C][C]0.00531834318910529[/C][/ROW]
[ROW][C]0.06[/C][C]0.749240593819006[/C][C]0.00418036914493542[/C][/ROW]
[ROW][C]0.07[/C][C]0.750912451826277[/C][C]0.00331132852891203[/C][/ROW]
[ROW][C]0.08[/C][C]0.752173101584524[/C][C]0.00276286802372716[/C][/ROW]
[ROW][C]0.09[/C][C]0.753174624648815[/C][C]0.00256131818368969[/C][/ROW]
[ROW][C]0.1[/C][C]0.75404275048809[/C][C]0.00269828106987541[/C][/ROW]
[ROW][C]0.11[/C][C]0.754876073683868[/C][C]0.00310708853021199[/C][/ROW]
[ROW][C]0.12[/C][C]0.755746579786136[/C][C]0.00368802760753553[/C][/ROW]
[ROW][C]0.13[/C][C]0.756700495885415[/C][C]0.00434259232536366[/C][/ROW]
[ROW][C]0.14[/C][C]0.757760076792019[/C][C]0.00498414779833993[/C][/ROW]
[ROW][C]0.15[/C][C]0.758926924134385[/C][C]0.00554572534734896[/C][/ROW]
[ROW][C]0.16[/C][C]0.760186832757338[/C][C]0.00598378068199754[/C][/ROW]
[ROW][C]0.17[/C][C]0.761515550103072[/C][C]0.00627658474357336[/C][/ROW]
[ROW][C]0.18[/C][C]0.7628845175698[/C][C]0.00642929877270878[/C][/ROW]
[ROW][C]0.19[/C][C]0.764265702138414[/C][C]0.00646044728635135[/C][/ROW]
[ROW][C]0.2[/C][C]0.765634930162424[/C][C]0.00639913135880076[/C][/ROW]
[ROW][C]0.21[/C][C]0.766973547992791[/C][C]0.00627571477462207[/C][/ROW]
[ROW][C]0.22[/C][C]0.76826861069459[/C][C]0.00611337013618652[/C][/ROW]
[ROW][C]0.23[/C][C]0.769512046139616[/C][C]0.00592955536195458[/C][/ROW]
[ROW][C]0.24[/C][C]0.770699325294772[/C][C]0.00573189692293934[/C][/ROW]
[ROW][C]0.25[/C][C]0.77182811113536[/C][C]0.00551987327824293[/C][/ROW]
[ROW][C]0.26[/C][C]0.772897210145502[/C][C]0.00529353911810967[/C][/ROW]
[ROW][C]0.27[/C][C]0.773905971907302[/C][C]0.00505036546469732[/C][/ROW]
[ROW][C]0.28[/C][C]0.774854124125991[/C][C]0.00479144820399002[/C][/ROW]
[ROW][C]0.29[/C][C]0.775741923385622[/C][C]0.00452068202599653[/C][/ROW]
[ROW][C]0.3[/C][C]0.776570455682263[/C][C]0.00424530614740404[/C][/ROW]
[ROW][C]0.31[/C][C]0.77734192814266[/C][C]0.00397554428140803[/C][/ROW]
[ROW][C]0.32[/C][C]0.778059837107218[/C][C]0.0037230136309727[/C][/ROW]
[ROW][C]0.33[/C][C]0.778728957687824[/C][C]0.00349547551634977[/C][/ROW]
[ROW][C]0.34[/C][C]0.779355158043202[/C][C]0.00330205486266884[/C][/ROW]
[ROW][C]0.35[/C][C]0.779945085366029[/C][C]0.00314767220790842[/C][/ROW]
[ROW][C]0.36[/C][C]0.780505793724114[/C][C]0.0030330894669939[/C][/ROW]
[ROW][C]0.37[/C][C]0.78104438600772[/C][C]0.00295874725294467[/C][/ROW]
[ROW][C]0.38[/C][C]0.781567727206423[/C][C]0.00292069608046543[/C][/ROW]
[ROW][C]0.39[/C][C]0.782082260541613[/C][C]0.00291456645690017[/C][/ROW]
[ROW][C]0.4[/C][C]0.782593928959061[/C][C]0.00293816409272367[/C][/ROW]
[ROW][C]0.41[/C][C]0.783108178932618[/C][C]0.00298823953835641[/C][/ROW]
[ROW][C]0.42[/C][C]0.783630006610746[/C][C]0.00306305895372522[/C][/ROW]
[ROW][C]0.43[/C][C]0.784164000895195[/C][C]0.00316273207247760[/C][/ROW]
[ROW][C]0.44[/C][C]0.784714344309472[/C][C]0.00328526164786168[/C][/ROW]
[ROW][C]0.45[/C][C]0.785284748265893[/C][C]0.00342913591675412[/C][/ROW]
[ROW][C]0.46[/C][C]0.785878320462336[/C][C]0.00359068558883819[/C][/ROW]
[ROW][C]0.47[/C][C]0.786497383570898[/C][C]0.00376349643196165[/C][/ROW]
[ROW][C]0.48[/C][C]0.787143281228079[/C][C]0.00394118120610699[/C][/ROW]
[ROW][C]0.49[/C][C]0.787816215949838[/C][C]0.00411456042229512[/C][/ROW]
[ROW][C]0.5[/C][C]0.78851516233738[/C][C]0.00427513477404058[/C][/ROW]
[ROW][C]0.51[/C][C]0.789237888463064[/C][C]0.00441401548234687[/C][/ROW]
[ROW][C]0.52[/C][C]0.78998110128857[/C][C]0.00452503768642881[/C][/ROW]
[ROW][C]0.53[/C][C]0.790740712273464[/C][C]0.00460375419795914[/C][/ROW]
[ROW][C]0.54[/C][C]0.791512201109805[/C][C]0.00464937201823197[/C][/ROW]
[ROW][C]0.55[/C][C]0.792291042117606[/C][C]0.00466300076723052[/C][/ROW]
[ROW][C]0.56[/C][C]0.793073151111611[/C][C]0.00464847586731086[/C][/ROW]
[ROW][C]0.57[/C][C]0.793855310600386[/C][C]0.00461325737871755[/C][/ROW]
[ROW][C]0.58[/C][C]0.794635536578572[/C][C]0.00456576980762467[/C][/ROW]
[ROW][C]0.59[/C][C]0.795413358593982[/C][C]0.00451645670433818[/C][/ROW]
[ROW][C]0.6[/C][C]0.796189993786717[/C][C]0.00447582712869673[/C][/ROW]
[ROW][C]0.61[/C][C]0.796968403427043[/C][C]0.00445541891364952[/C][/ROW]
[ROW][C]0.62[/C][C]0.797753226453126[/C][C]0.00446554727135391[/C][/ROW]
[ROW][C]0.63[/C][C]0.798550589131112[/C][C]0.00451341873272044[/C][/ROW]
[ROW][C]0.64[/C][C]0.799367794549213[/C][C]0.00460742753005833[/C][/ROW]
[ROW][C]0.65[/C][C]0.80021290170117[/C][C]0.00474867269902227[/C][/ROW]
[ROW][C]0.66[/C][C]0.801094212324825[/C][C]0.00493717374338748[/C][/ROW]
[ROW][C]0.67[/C][C]0.802019694190405[/C][C]0.00516902434615909[/C][/ROW]
[ROW][C]0.68[/C][C]0.802996380562674[/C][C]0.00543408433285405[/C][/ROW]
[ROW][C]0.69[/C][C]0.804029794390291[/C][C]0.00572107683989629[/C][/ROW]
[ROW][C]0.7[/C][C]0.805123449391767[/C][C]0.00601551005405271[/C][/ROW]
[ROW][C]0.71[/C][C]0.806278476379718[/C][C]0.00630212960337899[/C][/ROW]
[ROW][C]0.72[/C][C]0.807493411584873[/C][C]0.00656511996253139[/C][/ROW]
[ROW][C]0.73[/C][C]0.808764166863144[/C][C]0.0067899685244593[/C][/ROW]
[ROW][C]0.74[/C][C]0.810084184923163[/C][C]0.00696405516027949[/C][/ROW]
[ROW][C]0.75[/C][C]0.81144477383266[/C][C]0.007078785008343[/C][/ROW]
[ROW][C]0.76[/C][C]0.81283562242135[/C][C]0.00712686259486947[/C][/ROW]
[ROW][C]0.77[/C][C]0.81424552819964[/C][C]0.0071047319520804[/C][/ROW]
[ROW][C]0.78[/C][C]0.815663423167486[/C][C]0.00701527222076124[/C][/ROW]
[ROW][C]0.79[/C][C]0.81707985247513[/C][C]0.00686429017621959[/C][/ROW]
[ROW][C]0.8[/C][C]0.818489125574693[/C][C]0.00666564106696737[/C][/ROW]
[ROW][C]0.81[/C][C]0.81989238244883[/C][C]0.0064433788899049[/C][/ROW]
[ROW][C]0.82[/C][C]0.821301744569297[/C][C]0.00623862081657788[/C][/ROW]
[ROW][C]0.83[/C][C]0.822745484243045[/C][C]0.00611611174351434[/C][/ROW]
[ROW][C]0.84[/C][C]0.82427368332682[/C][C]0.00617331111396223[/C][/ROW]
[ROW][C]0.85[/C][C]0.825963140816138[/C][C]0.00653744309699755[/C][/ROW]
[ROW][C]0.86[/C][C]0.827919412873975[/C][C]0.00734505838049435[/C][/ROW]
[ROW][C]0.87[/C][C]0.83027310086424[/C][C]0.00869087378919612[/C][/ROW]
[ROW][C]0.88[/C][C]0.833167358848663[/C][C]0.0105804220925256[/C][/ROW]
[ROW][C]0.89[/C][C]0.836734777504894[/C][C]0.0128998444986994[/C][/ROW]
[ROW][C]0.9[/C][C]0.8410649490805[/C][C]0.0153980607061454[/C][/ROW]
[ROW][C]0.91[/C][C]0.846169171697958[/C][C]0.0176930577455630[/C][/ROW]
[ROW][C]0.92[/C][C]0.851954711742444[/C][C]0.0193239440620108[/C][/ROW]
[ROW][C]0.93[/C][C]0.858224873701349[/C][C]0.0198671170006197[/C][/ROW]
[ROW][C]0.94[/C][C]0.864718154917907[/C][C]0.0190925892347568[/C][/ROW]
[ROW][C]0.95[/C][C]0.871184332817841[/C][C]0.0171167510678630[/C][/ROW]
[ROW][C]0.96[/C][C]0.877463418010453[/C][C]0.0144759581787794[/C][/ROW]
[ROW][C]0.97[/C][C]0.883491666549349[/C][C]0.0120642738559694[/C][/ROW]
[ROW][C]0.98[/C][C]0.889146947500433[/C][C]0.0108360348713263[/C][/ROW]
[ROW][C]0.99[/C][C]0.89395682928131[/C][C]0.0110482983003645[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16368&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16368&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
0.010.731764882531940.0101112440792716
0.020.7358988830952560.0090963172691501
0.030.7402215956557660.007917983273091
0.040.7439972066680360.00661732354243663
0.050.746987283904410.00531834318910529
0.060.7492405938190060.00418036914493542
0.070.7509124518262770.00331132852891203
0.080.7521731015845240.00276286802372716
0.090.7531746246488150.00256131818368969
0.10.754042750488090.00269828106987541
0.110.7548760736838680.00310708853021199
0.120.7557465797861360.00368802760753553
0.130.7567004958854150.00434259232536366
0.140.7577600767920190.00498414779833993
0.150.7589269241343850.00554572534734896
0.160.7601868327573380.00598378068199754
0.170.7615155501030720.00627658474357336
0.180.76288451756980.00642929877270878
0.190.7642657021384140.00646044728635135
0.20.7656349301624240.00639913135880076
0.210.7669735479927910.00627571477462207
0.220.768268610694590.00611337013618652
0.230.7695120461396160.00592955536195458
0.240.7706993252947720.00573189692293934
0.250.771828111135360.00551987327824293
0.260.7728972101455020.00529353911810967
0.270.7739059719073020.00505036546469732
0.280.7748541241259910.00479144820399002
0.290.7757419233856220.00452068202599653
0.30.7765704556822630.00424530614740404
0.310.777341928142660.00397554428140803
0.320.7780598371072180.0037230136309727
0.330.7787289576878240.00349547551634977
0.340.7793551580432020.00330205486266884
0.350.7799450853660290.00314767220790842
0.360.7805057937241140.0030330894669939
0.370.781044386007720.00295874725294467
0.380.7815677272064230.00292069608046543
0.390.7820822605416130.00291456645690017
0.40.7825939289590610.00293816409272367
0.410.7831081789326180.00298823953835641
0.420.7836300066107460.00306305895372522
0.430.7841640008951950.00316273207247760
0.440.7847143443094720.00328526164786168
0.450.7852847482658930.00342913591675412
0.460.7858783204623360.00359068558883819
0.470.7864973835708980.00376349643196165
0.480.7871432812280790.00394118120610699
0.490.7878162159498380.00411456042229512
0.50.788515162337380.00427513477404058
0.510.7892378884630640.00441401548234687
0.520.789981101288570.00452503768642881
0.530.7907407122734640.00460375419795914
0.540.7915122011098050.00464937201823197
0.550.7922910421176060.00466300076723052
0.560.7930731511116110.00464847586731086
0.570.7938553106003860.00461325737871755
0.580.7946355365785720.00456576980762467
0.590.7954133585939820.00451645670433818
0.60.7961899937867170.00447582712869673
0.610.7969684034270430.00445541891364952
0.620.7977532264531260.00446554727135391
0.630.7985505891311120.00451341873272044
0.640.7993677945492130.00460742753005833
0.650.800212901701170.00474867269902227
0.660.8010942123248250.00493717374338748
0.670.8020196941904050.00516902434615909
0.680.8029963805626740.00543408433285405
0.690.8040297943902910.00572107683989629
0.70.8051234493917670.00601551005405271
0.710.8062784763797180.00630212960337899
0.720.8074934115848730.00656511996253139
0.730.8087641668631440.0067899685244593
0.740.8100841849231630.00696405516027949
0.750.811444773832660.007078785008343
0.760.812835622421350.00712686259486947
0.770.814245528199640.0071047319520804
0.780.8156634231674860.00701527222076124
0.790.817079852475130.00686429017621959
0.80.8184891255746930.00666564106696737
0.810.819892382448830.0064433788899049
0.820.8213017445692970.00623862081657788
0.830.8227454842430450.00611611174351434
0.840.824273683326820.00617331111396223
0.850.8259631408161380.00653744309699755
0.860.8279194128739750.00734505838049435
0.870.830273100864240.00869087378919612
0.880.8331673588486630.0105804220925256
0.890.8367347775048940.0128998444986994
0.90.84106494908050.0153980607061454
0.910.8461691716979580.0176930577455630
0.920.8519547117424440.0193239440620108
0.930.8582248737013490.0198671170006197
0.940.8647181549179070.0190925892347568
0.950.8711843328178410.0171167510678630
0.960.8774634180104530.0144759581787794
0.970.8834916665493490.0120642738559694
0.980.8891469475004330.0108360348713263
0.990.893956829281310.0110482983003645



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')