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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 05 Dec 2011 14:08:11 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/05/t13231121284xjso54x9c22xe2.htm/, Retrieved Fri, 03 May 2024 07:37:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=151193, Retrieved Fri, 03 May 2024 07:37:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact90

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] [] [2011-12-05 19:08:11] [c80accbb627afb8a1e74b91ef6a0d2c4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.224565646
0.261571480
0.253029834
0.033938060
0.353208554
0.033295045
0.002171707
0.084136132
0.077468368
0.010160325
0.079746191
0.263485597
0.460389066
0.132348066
0.529154319
0.032287005
0.472190992
0.037985170
0.019795866
0.053763887
0.086771175
0.143764004
0.202780264
0.006932185
0.124637036
0.116166293
0.037363442
0.416532177
0.612491026
0.012781084
0.163992436
0.212717925
0.092409609
0.150134816
0.047430792
0.022017328
0.350262865
0.013821921
0.578796918
0.030264300
0.090627282
0.029354226
0.182663201
0.372085552
0.235142217
0.311617946
0.030548270
0.068424450
0.043757662
0.238109173
0.465951209
0.127494709
0.010810575
0.230141979
0.426687450
0.175605499
0.005595384
0.203565169
0.236888269
0.153586896
0.027445414
0.026240968
0.299075759
0.171469487
0.016355307
0.220064442
0.137054994
0.034683689
0.085767702
0.119746590
0.223347602
0.026601623
0.063485064
0.467803972
0.012650088
0.048496183
0.047170846
0.043196485
0.095073370
0.538513979
0.045034181
0.427235474
0.289835816
0.150884924
0.176887675
0.369202741
0.178461483
0.077501113
0.281105892
0.051375864
0.357311398
0.561861189
0.028342902
0.326209843
0.303994601
0.020530542
0.278139180
0.582716856
0.071720238
0.237546024

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'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151193&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151193&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151193&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.003800798947457560.00284837452696884
0.020.006044258479702720.00266630206138714
0.030.008091301800099780.00274422907186367
0.040.009855570602950310.00277097785493662
0.050.01143610380877320.00290178603448255
0.060.01294853531430550.00327607516022884
0.070.01449523343628780.00381872307688565
0.080.01613258792702110.00435880181918542
0.090.01785795600631920.00475557353048077
0.10.01962478687878790.004943497586766
0.110.02136982732662580.00492653929023544
0.120.02303672146739180.00475360537957996
0.130.02458953355636250.0044951381587576
0.140.02601674210072450.00422654856338852
0.150.02732886707904910.00401609172055317
0.160.02855277823953070.00391460391789711
0.170.02972488248514560.00394920319198591
0.180.03088466828076960.00412355937746862
0.190.03206952852903940.00442345630943986
0.20.03331130531129630.00482435726021628
0.210.03463464548085930.00529875440424219
0.220.03605706114271810.00582190418804504
0.230.03759046586998630.00637860125454754
0.240.03924377164986160.00696712352800908
0.250.04102585107395440.00760078313228386
0.260.04294792251978860.00830216363028593
0.270.04502441024665550.00909270861013068
0.280.04727170198117230.00997924063327593
0.290.04970492509869990.0109441465620862
0.30.05233365159640070.011944066631846
0.310.05515799848551650.0129178743858949
0.320.05816665633475370.0138021443710926
0.330.06133788370195650.0145485651699116
0.340.0646435997100980.015139150434878
0.350.06805570066315710.0155934661277862
0.360.07155296400477440.0159674453988601
0.370.07512663602399040.016342145685482
0.380.07878310676930630.0168034314690792
0.390.08254285000825820.0174197412356567
0.40.08643580653694480.0182221994417593
0.410.09049432393699450.0191955566622423
0.420.09474537943659190.0202811822195685
0.430.09920395200624290.0213924231626163
0.440.103869059189160.0224349434633501
0.450.1087232518506020.0233257128967326
0.460.1137354814783710.0240089485147538
0.470.1188664679660710.0244642372966963
0.480.1240752068561340.0247062226383302
0.490.1293251655318110.0247780001341638
0.50.1345889987434220.0247400796827039
0.510.139851125212710.0246570398590079
0.520.1451080576368410.0245875376248835
0.530.1503668007918090.0245758174428637
0.540.1556418429137130.0246488448396678
0.550.1609512845142950.0248133008512213
0.560.1663125746114110.0250556977438944
0.570.171738273821050.0253438945548414
0.580.1772323069805460.0256270468129396
0.590.1827872880735090.0258430121606723
0.60.1883835976620320.0259274299669273
0.610.1939908343136730.0258266342840547
0.620.1995719509704190.0255116885014014
0.630.2050898282934710.0249919267856107
0.640.2105153530905340.0243202028650398
0.650.2158354725592650.0235908931440531
0.660.2210594114854620.0229262209741988
0.670.2262214278687140.0224569230532257
0.680.2313791662855310.0222953137507118
0.690.2366077116338570.0225090022508797
0.70.2419905754603070.0231053865391356
0.710.2476097180641940.0240354417709316
0.720.25353700516670.0252108771404904
0.730.2598290459296630.0265320108891497
0.740.2665262357922520.0279136096020888
0.750.2736554009115460.0293000161120281
0.760.2812342971493310.0306644504657818
0.770.2892759371401860.0320010911967791
0.780.2977915465886750.0333050364480916
0.790.3067924916109620.0345646333540537
0.80.3162927235714780.0357676435079108
0.810.3263129235670040.0369199954384548
0.820.3368850951098570.0380616899368006
0.830.3480529624560460.0392534492817403
0.840.359861949995330.0405169815271503
0.850.3723358117579440.0417611323766131
0.860.3854461329003080.0427415154294192
0.870.3990927984970440.0431281337784339
0.880.4131206070854870.0426709138551129
0.890.4273897154578930.0414133289787085
0.90.4418883428742630.0398378814033065
0.910.4568295222685710.0388049522014364
0.920.4726369115800020.0390712824115735
0.930.4897461328821110.0404541068011534
0.940.5082591450231830.0414657915584305
0.950.5276477288200950.0401178577865523
0.960.5468138688507460.0352644396279517
0.970.5648162962262020.0276012832880321
0.980.5820694643486430.0208437646157264
0.990.5995297081035650.0223672806623552

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.00380079894745756 & 0.00284837452696884 \tabularnewline
0.02 & 0.00604425847970272 & 0.00266630206138714 \tabularnewline
0.03 & 0.00809130180009978 & 0.00274422907186367 \tabularnewline
0.04 & 0.00985557060295031 & 0.00277097785493662 \tabularnewline
0.05 & 0.0114361038087732 & 0.00290178603448255 \tabularnewline
0.06 & 0.0129485353143055 & 0.00327607516022884 \tabularnewline
0.07 & 0.0144952334362878 & 0.00381872307688565 \tabularnewline
0.08 & 0.0161325879270211 & 0.00435880181918542 \tabularnewline
0.09 & 0.0178579560063192 & 0.00475557353048077 \tabularnewline
0.1 & 0.0196247868787879 & 0.004943497586766 \tabularnewline
0.11 & 0.0213698273266258 & 0.00492653929023544 \tabularnewline
0.12 & 0.0230367214673918 & 0.00475360537957996 \tabularnewline
0.13 & 0.0245895335563625 & 0.0044951381587576 \tabularnewline
0.14 & 0.0260167421007245 & 0.00422654856338852 \tabularnewline
0.15 & 0.0273288670790491 & 0.00401609172055317 \tabularnewline
0.16 & 0.0285527782395307 & 0.00391460391789711 \tabularnewline
0.17 & 0.0297248824851456 & 0.00394920319198591 \tabularnewline
0.18 & 0.0308846682807696 & 0.00412355937746862 \tabularnewline
0.19 & 0.0320695285290394 & 0.00442345630943986 \tabularnewline
0.2 & 0.0333113053112963 & 0.00482435726021628 \tabularnewline
0.21 & 0.0346346454808593 & 0.00529875440424219 \tabularnewline
0.22 & 0.0360570611427181 & 0.00582190418804504 \tabularnewline
0.23 & 0.0375904658699863 & 0.00637860125454754 \tabularnewline
0.24 & 0.0392437716498616 & 0.00696712352800908 \tabularnewline
0.25 & 0.0410258510739544 & 0.00760078313228386 \tabularnewline
0.26 & 0.0429479225197886 & 0.00830216363028593 \tabularnewline
0.27 & 0.0450244102466555 & 0.00909270861013068 \tabularnewline
0.28 & 0.0472717019811723 & 0.00997924063327593 \tabularnewline
0.29 & 0.0497049250986999 & 0.0109441465620862 \tabularnewline
0.3 & 0.0523336515964007 & 0.011944066631846 \tabularnewline
0.31 & 0.0551579984855165 & 0.0129178743858949 \tabularnewline
0.32 & 0.0581666563347537 & 0.0138021443710926 \tabularnewline
0.33 & 0.0613378837019565 & 0.0145485651699116 \tabularnewline
0.34 & 0.064643599710098 & 0.015139150434878 \tabularnewline
0.35 & 0.0680557006631571 & 0.0155934661277862 \tabularnewline
0.36 & 0.0715529640047744 & 0.0159674453988601 \tabularnewline
0.37 & 0.0751266360239904 & 0.016342145685482 \tabularnewline
0.38 & 0.0787831067693063 & 0.0168034314690792 \tabularnewline
0.39 & 0.0825428500082582 & 0.0174197412356567 \tabularnewline
0.4 & 0.0864358065369448 & 0.0182221994417593 \tabularnewline
0.41 & 0.0904943239369945 & 0.0191955566622423 \tabularnewline
0.42 & 0.0947453794365919 & 0.0202811822195685 \tabularnewline
0.43 & 0.0992039520062429 & 0.0213924231626163 \tabularnewline
0.44 & 0.10386905918916 & 0.0224349434633501 \tabularnewline
0.45 & 0.108723251850602 & 0.0233257128967326 \tabularnewline
0.46 & 0.113735481478371 & 0.0240089485147538 \tabularnewline
0.47 & 0.118866467966071 & 0.0244642372966963 \tabularnewline
0.48 & 0.124075206856134 & 0.0247062226383302 \tabularnewline
0.49 & 0.129325165531811 & 0.0247780001341638 \tabularnewline
0.5 & 0.134588998743422 & 0.0247400796827039 \tabularnewline
0.51 & 0.13985112521271 & 0.0246570398590079 \tabularnewline
0.52 & 0.145108057636841 & 0.0245875376248835 \tabularnewline
0.53 & 0.150366800791809 & 0.0245758174428637 \tabularnewline
0.54 & 0.155641842913713 & 0.0246488448396678 \tabularnewline
0.55 & 0.160951284514295 & 0.0248133008512213 \tabularnewline
0.56 & 0.166312574611411 & 0.0250556977438944 \tabularnewline
0.57 & 0.17173827382105 & 0.0253438945548414 \tabularnewline
0.58 & 0.177232306980546 & 0.0256270468129396 \tabularnewline
0.59 & 0.182787288073509 & 0.0258430121606723 \tabularnewline
0.6 & 0.188383597662032 & 0.0259274299669273 \tabularnewline
0.61 & 0.193990834313673 & 0.0258266342840547 \tabularnewline
0.62 & 0.199571950970419 & 0.0255116885014014 \tabularnewline
0.63 & 0.205089828293471 & 0.0249919267856107 \tabularnewline
0.64 & 0.210515353090534 & 0.0243202028650398 \tabularnewline
0.65 & 0.215835472559265 & 0.0235908931440531 \tabularnewline
0.66 & 0.221059411485462 & 0.0229262209741988 \tabularnewline
0.67 & 0.226221427868714 & 0.0224569230532257 \tabularnewline
0.68 & 0.231379166285531 & 0.0222953137507118 \tabularnewline
0.69 & 0.236607711633857 & 0.0225090022508797 \tabularnewline
0.7 & 0.241990575460307 & 0.0231053865391356 \tabularnewline
0.71 & 0.247609718064194 & 0.0240354417709316 \tabularnewline
0.72 & 0.2535370051667 & 0.0252108771404904 \tabularnewline
0.73 & 0.259829045929663 & 0.0265320108891497 \tabularnewline
0.74 & 0.266526235792252 & 0.0279136096020888 \tabularnewline
0.75 & 0.273655400911546 & 0.0293000161120281 \tabularnewline
0.76 & 0.281234297149331 & 0.0306644504657818 \tabularnewline
0.77 & 0.289275937140186 & 0.0320010911967791 \tabularnewline
0.78 & 0.297791546588675 & 0.0333050364480916 \tabularnewline
0.79 & 0.306792491610962 & 0.0345646333540537 \tabularnewline
0.8 & 0.316292723571478 & 0.0357676435079108 \tabularnewline
0.81 & 0.326312923567004 & 0.0369199954384548 \tabularnewline
0.82 & 0.336885095109857 & 0.0380616899368006 \tabularnewline
0.83 & 0.348052962456046 & 0.0392534492817403 \tabularnewline
0.84 & 0.35986194999533 & 0.0405169815271503 \tabularnewline
0.85 & 0.372335811757944 & 0.0417611323766131 \tabularnewline
0.86 & 0.385446132900308 & 0.0427415154294192 \tabularnewline
0.87 & 0.399092798497044 & 0.0431281337784339 \tabularnewline
0.88 & 0.413120607085487 & 0.0426709138551129 \tabularnewline
0.89 & 0.427389715457893 & 0.0414133289787085 \tabularnewline
0.9 & 0.441888342874263 & 0.0398378814033065 \tabularnewline
0.91 & 0.456829522268571 & 0.0388049522014364 \tabularnewline
0.92 & 0.472636911580002 & 0.0390712824115735 \tabularnewline
0.93 & 0.489746132882111 & 0.0404541068011534 \tabularnewline
0.94 & 0.508259145023183 & 0.0414657915584305 \tabularnewline
0.95 & 0.527647728820095 & 0.0401178577865523 \tabularnewline
0.96 & 0.546813868850746 & 0.0352644396279517 \tabularnewline
0.97 & 0.564816296226202 & 0.0276012832880321 \tabularnewline
0.98 & 0.582069464348643 & 0.0208437646157264 \tabularnewline
0.99 & 0.599529708103565 & 0.0223672806623552 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=151193&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]0.00380079894745756[/C][C]0.00284837452696884[/C][/ROW]
[ROW][C]0.02[/C][C]0.00604425847970272[/C][C]0.00266630206138714[/C][/ROW]
[ROW][C]0.03[/C][C]0.00809130180009978[/C][C]0.00274422907186367[/C][/ROW]
[ROW][C]0.04[/C][C]0.00985557060295031[/C][C]0.00277097785493662[/C][/ROW]
[ROW][C]0.05[/C][C]0.0114361038087732[/C][C]0.00290178603448255[/C][/ROW]
[ROW][C]0.06[/C][C]0.0129485353143055[/C][C]0.00327607516022884[/C][/ROW]
[ROW][C]0.07[/C][C]0.0144952334362878[/C][C]0.00381872307688565[/C][/ROW]
[ROW][C]0.08[/C][C]0.0161325879270211[/C][C]0.00435880181918542[/C][/ROW]
[ROW][C]0.09[/C][C]0.0178579560063192[/C][C]0.00475557353048077[/C][/ROW]
[ROW][C]0.1[/C][C]0.0196247868787879[/C][C]0.004943497586766[/C][/ROW]
[ROW][C]0.11[/C][C]0.0213698273266258[/C][C]0.00492653929023544[/C][/ROW]
[ROW][C]0.12[/C][C]0.0230367214673918[/C][C]0.00475360537957996[/C][/ROW]
[ROW][C]0.13[/C][C]0.0245895335563625[/C][C]0.0044951381587576[/C][/ROW]
[ROW][C]0.14[/C][C]0.0260167421007245[/C][C]0.00422654856338852[/C][/ROW]
[ROW][C]0.15[/C][C]0.0273288670790491[/C][C]0.00401609172055317[/C][/ROW]
[ROW][C]0.16[/C][C]0.0285527782395307[/C][C]0.00391460391789711[/C][/ROW]
[ROW][C]0.17[/C][C]0.0297248824851456[/C][C]0.00394920319198591[/C][/ROW]
[ROW][C]0.18[/C][C]0.0308846682807696[/C][C]0.00412355937746862[/C][/ROW]
[ROW][C]0.19[/C][C]0.0320695285290394[/C][C]0.00442345630943986[/C][/ROW]
[ROW][C]0.2[/C][C]0.0333113053112963[/C][C]0.00482435726021628[/C][/ROW]
[ROW][C]0.21[/C][C]0.0346346454808593[/C][C]0.00529875440424219[/C][/ROW]
[ROW][C]0.22[/C][C]0.0360570611427181[/C][C]0.00582190418804504[/C][/ROW]
[ROW][C]0.23[/C][C]0.0375904658699863[/C][C]0.00637860125454754[/C][/ROW]
[ROW][C]0.24[/C][C]0.0392437716498616[/C][C]0.00696712352800908[/C][/ROW]
[ROW][C]0.25[/C][C]0.0410258510739544[/C][C]0.00760078313228386[/C][/ROW]
[ROW][C]0.26[/C][C]0.0429479225197886[/C][C]0.00830216363028593[/C][/ROW]
[ROW][C]0.27[/C][C]0.0450244102466555[/C][C]0.00909270861013068[/C][/ROW]
[ROW][C]0.28[/C][C]0.0472717019811723[/C][C]0.00997924063327593[/C][/ROW]
[ROW][C]0.29[/C][C]0.0497049250986999[/C][C]0.0109441465620862[/C][/ROW]
[ROW][C]0.3[/C][C]0.0523336515964007[/C][C]0.011944066631846[/C][/ROW]
[ROW][C]0.31[/C][C]0.0551579984855165[/C][C]0.0129178743858949[/C][/ROW]
[ROW][C]0.32[/C][C]0.0581666563347537[/C][C]0.0138021443710926[/C][/ROW]
[ROW][C]0.33[/C][C]0.0613378837019565[/C][C]0.0145485651699116[/C][/ROW]
[ROW][C]0.34[/C][C]0.064643599710098[/C][C]0.015139150434878[/C][/ROW]
[ROW][C]0.35[/C][C]0.0680557006631571[/C][C]0.0155934661277862[/C][/ROW]
[ROW][C]0.36[/C][C]0.0715529640047744[/C][C]0.0159674453988601[/C][/ROW]
[ROW][C]0.37[/C][C]0.0751266360239904[/C][C]0.016342145685482[/C][/ROW]
[ROW][C]0.38[/C][C]0.0787831067693063[/C][C]0.0168034314690792[/C][/ROW]
[ROW][C]0.39[/C][C]0.0825428500082582[/C][C]0.0174197412356567[/C][/ROW]
[ROW][C]0.4[/C][C]0.0864358065369448[/C][C]0.0182221994417593[/C][/ROW]
[ROW][C]0.41[/C][C]0.0904943239369945[/C][C]0.0191955566622423[/C][/ROW]
[ROW][C]0.42[/C][C]0.0947453794365919[/C][C]0.0202811822195685[/C][/ROW]
[ROW][C]0.43[/C][C]0.0992039520062429[/C][C]0.0213924231626163[/C][/ROW]
[ROW][C]0.44[/C][C]0.10386905918916[/C][C]0.0224349434633501[/C][/ROW]
[ROW][C]0.45[/C][C]0.108723251850602[/C][C]0.0233257128967326[/C][/ROW]
[ROW][C]0.46[/C][C]0.113735481478371[/C][C]0.0240089485147538[/C][/ROW]
[ROW][C]0.47[/C][C]0.118866467966071[/C][C]0.0244642372966963[/C][/ROW]
[ROW][C]0.48[/C][C]0.124075206856134[/C][C]0.0247062226383302[/C][/ROW]
[ROW][C]0.49[/C][C]0.129325165531811[/C][C]0.0247780001341638[/C][/ROW]
[ROW][C]0.5[/C][C]0.134588998743422[/C][C]0.0247400796827039[/C][/ROW]
[ROW][C]0.51[/C][C]0.13985112521271[/C][C]0.0246570398590079[/C][/ROW]
[ROW][C]0.52[/C][C]0.145108057636841[/C][C]0.0245875376248835[/C][/ROW]
[ROW][C]0.53[/C][C]0.150366800791809[/C][C]0.0245758174428637[/C][/ROW]
[ROW][C]0.54[/C][C]0.155641842913713[/C][C]0.0246488448396678[/C][/ROW]
[ROW][C]0.55[/C][C]0.160951284514295[/C][C]0.0248133008512213[/C][/ROW]
[ROW][C]0.56[/C][C]0.166312574611411[/C][C]0.0250556977438944[/C][/ROW]
[ROW][C]0.57[/C][C]0.17173827382105[/C][C]0.0253438945548414[/C][/ROW]
[ROW][C]0.58[/C][C]0.177232306980546[/C][C]0.0256270468129396[/C][/ROW]
[ROW][C]0.59[/C][C]0.182787288073509[/C][C]0.0258430121606723[/C][/ROW]
[ROW][C]0.6[/C][C]0.188383597662032[/C][C]0.0259274299669273[/C][/ROW]
[ROW][C]0.61[/C][C]0.193990834313673[/C][C]0.0258266342840547[/C][/ROW]
[ROW][C]0.62[/C][C]0.199571950970419[/C][C]0.0255116885014014[/C][/ROW]
[ROW][C]0.63[/C][C]0.205089828293471[/C][C]0.0249919267856107[/C][/ROW]
[ROW][C]0.64[/C][C]0.210515353090534[/C][C]0.0243202028650398[/C][/ROW]
[ROW][C]0.65[/C][C]0.215835472559265[/C][C]0.0235908931440531[/C][/ROW]
[ROW][C]0.66[/C][C]0.221059411485462[/C][C]0.0229262209741988[/C][/ROW]
[ROW][C]0.67[/C][C]0.226221427868714[/C][C]0.0224569230532257[/C][/ROW]
[ROW][C]0.68[/C][C]0.231379166285531[/C][C]0.0222953137507118[/C][/ROW]
[ROW][C]0.69[/C][C]0.236607711633857[/C][C]0.0225090022508797[/C][/ROW]
[ROW][C]0.7[/C][C]0.241990575460307[/C][C]0.0231053865391356[/C][/ROW]
[ROW][C]0.71[/C][C]0.247609718064194[/C][C]0.0240354417709316[/C][/ROW]
[ROW][C]0.72[/C][C]0.2535370051667[/C][C]0.0252108771404904[/C][/ROW]
[ROW][C]0.73[/C][C]0.259829045929663[/C][C]0.0265320108891497[/C][/ROW]
[ROW][C]0.74[/C][C]0.266526235792252[/C][C]0.0279136096020888[/C][/ROW]
[ROW][C]0.75[/C][C]0.273655400911546[/C][C]0.0293000161120281[/C][/ROW]
[ROW][C]0.76[/C][C]0.281234297149331[/C][C]0.0306644504657818[/C][/ROW]
[ROW][C]0.77[/C][C]0.289275937140186[/C][C]0.0320010911967791[/C][/ROW]
[ROW][C]0.78[/C][C]0.297791546588675[/C][C]0.0333050364480916[/C][/ROW]
[ROW][C]0.79[/C][C]0.306792491610962[/C][C]0.0345646333540537[/C][/ROW]
[ROW][C]0.8[/C][C]0.316292723571478[/C][C]0.0357676435079108[/C][/ROW]
[ROW][C]0.81[/C][C]0.326312923567004[/C][C]0.0369199954384548[/C][/ROW]
[ROW][C]0.82[/C][C]0.336885095109857[/C][C]0.0380616899368006[/C][/ROW]
[ROW][C]0.83[/C][C]0.348052962456046[/C][C]0.0392534492817403[/C][/ROW]
[ROW][C]0.84[/C][C]0.35986194999533[/C][C]0.0405169815271503[/C][/ROW]
[ROW][C]0.85[/C][C]0.372335811757944[/C][C]0.0417611323766131[/C][/ROW]
[ROW][C]0.86[/C][C]0.385446132900308[/C][C]0.0427415154294192[/C][/ROW]
[ROW][C]0.87[/C][C]0.399092798497044[/C][C]0.0431281337784339[/C][/ROW]
[ROW][C]0.88[/C][C]0.413120607085487[/C][C]0.0426709138551129[/C][/ROW]
[ROW][C]0.89[/C][C]0.427389715457893[/C][C]0.0414133289787085[/C][/ROW]
[ROW][C]0.9[/C][C]0.441888342874263[/C][C]0.0398378814033065[/C][/ROW]
[ROW][C]0.91[/C][C]0.456829522268571[/C][C]0.0388049522014364[/C][/ROW]
[ROW][C]0.92[/C][C]0.472636911580002[/C][C]0.0390712824115735[/C][/ROW]
[ROW][C]0.93[/C][C]0.489746132882111[/C][C]0.0404541068011534[/C][/ROW]
[ROW][C]0.94[/C][C]0.508259145023183[/C][C]0.0414657915584305[/C][/ROW]
[ROW][C]0.95[/C][C]0.527647728820095[/C][C]0.0401178577865523[/C][/ROW]
[ROW][C]0.96[/C][C]0.546813868850746[/C][C]0.0352644396279517[/C][/ROW]
[ROW][C]0.97[/C][C]0.564816296226202[/C][C]0.0276012832880321[/C][/ROW]
[ROW][C]0.98[/C][C]0.582069464348643[/C][C]0.0208437646157264[/C][/ROW]
[ROW][C]0.99[/C][C]0.599529708103565[/C][C]0.0223672806623552[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=151193&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=151193&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
0.010.003800798947457560.00284837452696884
0.020.006044258479702720.00266630206138714
0.030.008091301800099780.00274422907186367
0.040.009855570602950310.00277097785493662
0.050.01143610380877320.00290178603448255
0.060.01294853531430550.00327607516022884
0.070.01449523343628780.00381872307688565
0.080.01613258792702110.00435880181918542
0.090.01785795600631920.00475557353048077
0.10.01962478687878790.004943497586766
0.110.02136982732662580.00492653929023544
0.120.02303672146739180.00475360537957996
0.130.02458953355636250.0044951381587576
0.140.02601674210072450.00422654856338852
0.150.02732886707904910.00401609172055317
0.160.02855277823953070.00391460391789711
0.170.02972488248514560.00394920319198591
0.180.03088466828076960.00412355937746862
0.190.03206952852903940.00442345630943986
0.20.03331130531129630.00482435726021628
0.210.03463464548085930.00529875440424219
0.220.03605706114271810.00582190418804504
0.230.03759046586998630.00637860125454754
0.240.03924377164986160.00696712352800908
0.250.04102585107395440.00760078313228386
0.260.04294792251978860.00830216363028593
0.270.04502441024665550.00909270861013068
0.280.04727170198117230.00997924063327593
0.290.04970492509869990.0109441465620862
0.30.05233365159640070.011944066631846
0.310.05515799848551650.0129178743858949
0.320.05816665633475370.0138021443710926
0.330.06133788370195650.0145485651699116
0.340.0646435997100980.015139150434878
0.350.06805570066315710.0155934661277862
0.360.07155296400477440.0159674453988601
0.370.07512663602399040.016342145685482
0.380.07878310676930630.0168034314690792
0.390.08254285000825820.0174197412356567
0.40.08643580653694480.0182221994417593
0.410.09049432393699450.0191955566622423
0.420.09474537943659190.0202811822195685
0.430.09920395200624290.0213924231626163
0.440.103869059189160.0224349434633501
0.450.1087232518506020.0233257128967326
0.460.1137354814783710.0240089485147538
0.470.1188664679660710.0244642372966963
0.480.1240752068561340.0247062226383302
0.490.1293251655318110.0247780001341638
0.50.1345889987434220.0247400796827039
0.510.139851125212710.0246570398590079
0.520.1451080576368410.0245875376248835
0.530.1503668007918090.0245758174428637
0.540.1556418429137130.0246488448396678
0.550.1609512845142950.0248133008512213
0.560.1663125746114110.0250556977438944
0.570.171738273821050.0253438945548414
0.580.1772323069805460.0256270468129396
0.590.1827872880735090.0258430121606723
0.60.1883835976620320.0259274299669273
0.610.1939908343136730.0258266342840547
0.620.1995719509704190.0255116885014014
0.630.2050898282934710.0249919267856107
0.640.2105153530905340.0243202028650398
0.650.2158354725592650.0235908931440531
0.660.2210594114854620.0229262209741988
0.670.2262214278687140.0224569230532257
0.680.2313791662855310.0222953137507118
0.690.2366077116338570.0225090022508797
0.70.2419905754603070.0231053865391356
0.710.2476097180641940.0240354417709316
0.720.25353700516670.0252108771404904
0.730.2598290459296630.0265320108891497
0.740.2665262357922520.0279136096020888
0.750.2736554009115460.0293000161120281
0.760.2812342971493310.0306644504657818
0.770.2892759371401860.0320010911967791
0.780.2977915465886750.0333050364480916
0.790.3067924916109620.0345646333540537
0.80.3162927235714780.0357676435079108
0.810.3263129235670040.0369199954384548
0.820.3368850951098570.0380616899368006
0.830.3480529624560460.0392534492817403
0.840.359861949995330.0405169815271503
0.850.3723358117579440.0417611323766131
0.860.3854461329003080.0427415154294192
0.870.3990927984970440.0431281337784339
0.880.4131206070854870.0426709138551129
0.890.4273897154578930.0414133289787085
0.90.4418883428742630.0398378814033065
0.910.4568295222685710.0388049522014364
0.920.4726369115800020.0390712824115735
0.930.4897461328821110.0404541068011534
0.940.5082591450231830.0414657915584305
0.950.5276477288200950.0401178577865523
0.960.5468138688507460.0352644396279517
0.970.5648162962262020.0276012832880321
0.980.5820694643486430.0208437646157264
0.990.5995297081035650.0223672806623552


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')