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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 01 Oct 2013 05:34:29 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/01/t1380620244omau65x6oobuugt.htm/, Retrieved Sat, 27 Apr 2024 11:53:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212536, Retrieved Sat, 27 Apr 2024 11:53:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [] [2013-10-01 09:06:04] [520d9ebc87bc557903715fb12897748b]
- R PD    [Harrell-Davis Quantiles] [] [2013-10-01 09:34:29] [17e53cb7c94beab0adf1165deaf51c6f] [Current]
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Dataseries X:
3.43
3.43
3.43
3.43
3.43
3.43
3.43
3.43
3.5
3.52
3.53
3.53
3.53
3.53
3.53
3.53
3.53
3.53
3.53
3.53
3.58
3.58
3.59
3.59
3.59
3.59
3.59
3.59
3.59
3.59
3.59
3.61
3.71
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.83
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.92
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
3.98
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.09
4.21
4.21
4.21
4.21




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212536&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212536&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212536&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.013.430011036244445.60657650329424e-05
0.023.430095484746650.000410920092068173
0.033.430445560187910.00162900434291198
0.043.431460674282150.00449723702695877
0.053.4337438830710.0096105366509075
0.063.437958009643360.0168529123505793
0.073.444571625560760.0251331940477091
0.083.453616690664670.0326868554661355
0.093.464593802212730.0377578569510531
0.13.476582460347160.0393000466222678
0.113.488502162659210.0372986597813242
0.123.499402289602390.0326326863719604
0.133.508667475243110.0266368579758317
0.143.516086988668440.0206389209141267
0.153.521803623753340.0156702039578381
0.163.526195083695430.0124024618874247
0.173.529742781463330.011162723240965
0.183.532923582380280.0118071667240635
0.193.536137404892890.0137697849574889
0.23.539668730219030.0164128299793596
0.213.543674785829810.0192042341164807
0.223.54819384931250.0217181142783413
0.233.553169251919610.0236512847242511
0.243.558485512218780.0248671333015178
0.253.56401213497350.0254308317557218
0.263.569648940789150.0256206136753636
0.273.575365636881560.0259207527761239
0.283.581228536084980.0269597982770892
0.293.587409033451080.0293772578854647
0.33.594171293436260.0336433096661988
0.313.601840009202950.0398995161159645
0.323.610752506077820.0479431981988111
0.333.621202389868650.0572852380948418
0.343.633383942512230.0672042601150539
0.353.647347108945260.0768292134614487
0.363.662971850939280.0852451120066101
0.373.679967768026420.0916018253861571
0.383.697900524165020.0952650602733257
0.393.716241561238740.09590899240997
0.43.734432942909790.0935617288333472
0.413.751956089879750.0886072701583954
0.423.768392435820850.0817109995567386
0.433.783465844433840.0737189016943765
0.443.797060509503620.0655190859930919
0.453.809213032567650.0579307815632606
0.463.820082259544460.0515864188677587
0.473.829904216646680.0468463974507145
0.483.838941456995850.0437428796879272
0.493.847436131163950.0419928482732445
0.53.855574378289790.041106403838612
0.513.863466744885090.0405343642134439
0.523.871145950953380.039804434053589
0.533.878580097181590.0385924540129249
0.543.885696881708680.0367581963657199
0.553.892412923260030.0343344158213092
0.563.898662005064030.0315031590982071
0.573.904416881311410.0285488191534626
0.583.909700965582920.0258044468294618
0.593.914588375337020.0235955197916621
0.63.91919303265680.0221707634524928
0.613.923649456544310.0216338335973516
0.623.928089256075020.0219002615936124
0.633.932617986063690.0227210418519183
0.643.937296900980760.0237489872718044
0.653.942133276489190.0246484928850176
0.663.947081490968380.0251248912089982
0.673.95205519370780.0249941185951543
0.683.956948929816710.0242015821966402
0.693.961665868060180.0228350820065613
0.73.966147058208940.0211268514416239
0.713.970397075556830.0194371934488302
0.723.974500995975410.0182332382045849
0.733.978628313553530.0180332077257651
0.743.983020642383250.0192607515451291
0.753.987961955469760.0220484978108953
0.763.993732919550890.026178776558525
0.774.000554636027790.0311517318165766
0.784.008531317179550.0362768064766518
0.794.017604865759730.0407516624651798
0.84.027535152873780.0437805847188645
0.814.037916342050210.0447352032800107
0.824.048231509869380.0432905932811941
0.834.057936858902370.0395407986721484
0.844.06655692678260.0339794101488986
0.854.07376809785930.0273834511435313
0.864.079452753516690.0206494294024251
0.874.083720324748170.0146021875867403
0.884.086909278505610.00990084069850669
0.894.089595599363430.00724015061996279
0.94.092624630977490.00781855686780669
0.914.09714139313180.0124190975879944
0.924.10452316277150.020849171759723
0.934.116063523633980.0322193253282422
0.944.132321509243730.0438000920464416
0.954.152327978905370.0507860911439697
0.964.173243688566940.0483915152536188
0.974.191164563713140.0357785099020109
0.984.203066291366090.0184730841404174
0.994.208599043935340.0051196938918805

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3.43001103624444 & 5.60657650329424e-05 \tabularnewline
0.02 & 3.43009548474665 & 0.000410920092068173 \tabularnewline
0.03 & 3.43044556018791 & 0.00162900434291198 \tabularnewline
0.04 & 3.43146067428215 & 0.00449723702695877 \tabularnewline
0.05 & 3.433743883071 & 0.0096105366509075 \tabularnewline
0.06 & 3.43795800964336 & 0.0168529123505793 \tabularnewline
0.07 & 3.44457162556076 & 0.0251331940477091 \tabularnewline
0.08 & 3.45361669066467 & 0.0326868554661355 \tabularnewline
0.09 & 3.46459380221273 & 0.0377578569510531 \tabularnewline
0.1 & 3.47658246034716 & 0.0393000466222678 \tabularnewline
0.11 & 3.48850216265921 & 0.0372986597813242 \tabularnewline
0.12 & 3.49940228960239 & 0.0326326863719604 \tabularnewline
0.13 & 3.50866747524311 & 0.0266368579758317 \tabularnewline
0.14 & 3.51608698866844 & 0.0206389209141267 \tabularnewline
0.15 & 3.52180362375334 & 0.0156702039578381 \tabularnewline
0.16 & 3.52619508369543 & 0.0124024618874247 \tabularnewline
0.17 & 3.52974278146333 & 0.011162723240965 \tabularnewline
0.18 & 3.53292358238028 & 0.0118071667240635 \tabularnewline
0.19 & 3.53613740489289 & 0.0137697849574889 \tabularnewline
0.2 & 3.53966873021903 & 0.0164128299793596 \tabularnewline
0.21 & 3.54367478582981 & 0.0192042341164807 \tabularnewline
0.22 & 3.5481938493125 & 0.0217181142783413 \tabularnewline
0.23 & 3.55316925191961 & 0.0236512847242511 \tabularnewline
0.24 & 3.55848551221878 & 0.0248671333015178 \tabularnewline
0.25 & 3.5640121349735 & 0.0254308317557218 \tabularnewline
0.26 & 3.56964894078915 & 0.0256206136753636 \tabularnewline
0.27 & 3.57536563688156 & 0.0259207527761239 \tabularnewline
0.28 & 3.58122853608498 & 0.0269597982770892 \tabularnewline
0.29 & 3.58740903345108 & 0.0293772578854647 \tabularnewline
0.3 & 3.59417129343626 & 0.0336433096661988 \tabularnewline
0.31 & 3.60184000920295 & 0.0398995161159645 \tabularnewline
0.32 & 3.61075250607782 & 0.0479431981988111 \tabularnewline
0.33 & 3.62120238986865 & 0.0572852380948418 \tabularnewline
0.34 & 3.63338394251223 & 0.0672042601150539 \tabularnewline
0.35 & 3.64734710894526 & 0.0768292134614487 \tabularnewline
0.36 & 3.66297185093928 & 0.0852451120066101 \tabularnewline
0.37 & 3.67996776802642 & 0.0916018253861571 \tabularnewline
0.38 & 3.69790052416502 & 0.0952650602733257 \tabularnewline
0.39 & 3.71624156123874 & 0.09590899240997 \tabularnewline
0.4 & 3.73443294290979 & 0.0935617288333472 \tabularnewline
0.41 & 3.75195608987975 & 0.0886072701583954 \tabularnewline
0.42 & 3.76839243582085 & 0.0817109995567386 \tabularnewline
0.43 & 3.78346584443384 & 0.0737189016943765 \tabularnewline
0.44 & 3.79706050950362 & 0.0655190859930919 \tabularnewline
0.45 & 3.80921303256765 & 0.0579307815632606 \tabularnewline
0.46 & 3.82008225954446 & 0.0515864188677587 \tabularnewline
0.47 & 3.82990421664668 & 0.0468463974507145 \tabularnewline
0.48 & 3.83894145699585 & 0.0437428796879272 \tabularnewline
0.49 & 3.84743613116395 & 0.0419928482732445 \tabularnewline
0.5 & 3.85557437828979 & 0.041106403838612 \tabularnewline
0.51 & 3.86346674488509 & 0.0405343642134439 \tabularnewline
0.52 & 3.87114595095338 & 0.039804434053589 \tabularnewline
0.53 & 3.87858009718159 & 0.0385924540129249 \tabularnewline
0.54 & 3.88569688170868 & 0.0367581963657199 \tabularnewline
0.55 & 3.89241292326003 & 0.0343344158213092 \tabularnewline
0.56 & 3.89866200506403 & 0.0315031590982071 \tabularnewline
0.57 & 3.90441688131141 & 0.0285488191534626 \tabularnewline
0.58 & 3.90970096558292 & 0.0258044468294618 \tabularnewline
0.59 & 3.91458837533702 & 0.0235955197916621 \tabularnewline
0.6 & 3.9191930326568 & 0.0221707634524928 \tabularnewline
0.61 & 3.92364945654431 & 0.0216338335973516 \tabularnewline
0.62 & 3.92808925607502 & 0.0219002615936124 \tabularnewline
0.63 & 3.93261798606369 & 0.0227210418519183 \tabularnewline
0.64 & 3.93729690098076 & 0.0237489872718044 \tabularnewline
0.65 & 3.94213327648919 & 0.0246484928850176 \tabularnewline
0.66 & 3.94708149096838 & 0.0251248912089982 \tabularnewline
0.67 & 3.9520551937078 & 0.0249941185951543 \tabularnewline
0.68 & 3.95694892981671 & 0.0242015821966402 \tabularnewline
0.69 & 3.96166586806018 & 0.0228350820065613 \tabularnewline
0.7 & 3.96614705820894 & 0.0211268514416239 \tabularnewline
0.71 & 3.97039707555683 & 0.0194371934488302 \tabularnewline
0.72 & 3.97450099597541 & 0.0182332382045849 \tabularnewline
0.73 & 3.97862831355353 & 0.0180332077257651 \tabularnewline
0.74 & 3.98302064238325 & 0.0192607515451291 \tabularnewline
0.75 & 3.98796195546976 & 0.0220484978108953 \tabularnewline
0.76 & 3.99373291955089 & 0.026178776558525 \tabularnewline
0.77 & 4.00055463602779 & 0.0311517318165766 \tabularnewline
0.78 & 4.00853131717955 & 0.0362768064766518 \tabularnewline
0.79 & 4.01760486575973 & 0.0407516624651798 \tabularnewline
0.8 & 4.02753515287378 & 0.0437805847188645 \tabularnewline
0.81 & 4.03791634205021 & 0.0447352032800107 \tabularnewline
0.82 & 4.04823150986938 & 0.0432905932811941 \tabularnewline
0.83 & 4.05793685890237 & 0.0395407986721484 \tabularnewline
0.84 & 4.0665569267826 & 0.0339794101488986 \tabularnewline
0.85 & 4.0737680978593 & 0.0273834511435313 \tabularnewline
0.86 & 4.07945275351669 & 0.0206494294024251 \tabularnewline
0.87 & 4.08372032474817 & 0.0146021875867403 \tabularnewline
0.88 & 4.08690927850561 & 0.00990084069850669 \tabularnewline
0.89 & 4.08959559936343 & 0.00724015061996279 \tabularnewline
0.9 & 4.09262463097749 & 0.00781855686780669 \tabularnewline
0.91 & 4.0971413931318 & 0.0124190975879944 \tabularnewline
0.92 & 4.1045231627715 & 0.020849171759723 \tabularnewline
0.93 & 4.11606352363398 & 0.0322193253282422 \tabularnewline
0.94 & 4.13232150924373 & 0.0438000920464416 \tabularnewline
0.95 & 4.15232797890537 & 0.0507860911439697 \tabularnewline
0.96 & 4.17324368856694 & 0.0483915152536188 \tabularnewline
0.97 & 4.19116456371314 & 0.0357785099020109 \tabularnewline
0.98 & 4.20306629136609 & 0.0184730841404174 \tabularnewline
0.99 & 4.20859904393534 & 0.0051196938918805 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212536&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]3.43001103624444[/C][C]5.60657650329424e-05[/C][/ROW]
[ROW][C]0.02[/C][C]3.43009548474665[/C][C]0.000410920092068173[/C][/ROW]
[ROW][C]0.03[/C][C]3.43044556018791[/C][C]0.00162900434291198[/C][/ROW]
[ROW][C]0.04[/C][C]3.43146067428215[/C][C]0.00449723702695877[/C][/ROW]
[ROW][C]0.05[/C][C]3.433743883071[/C][C]0.0096105366509075[/C][/ROW]
[ROW][C]0.06[/C][C]3.43795800964336[/C][C]0.0168529123505793[/C][/ROW]
[ROW][C]0.07[/C][C]3.44457162556076[/C][C]0.0251331940477091[/C][/ROW]
[ROW][C]0.08[/C][C]3.45361669066467[/C][C]0.0326868554661355[/C][/ROW]
[ROW][C]0.09[/C][C]3.46459380221273[/C][C]0.0377578569510531[/C][/ROW]
[ROW][C]0.1[/C][C]3.47658246034716[/C][C]0.0393000466222678[/C][/ROW]
[ROW][C]0.11[/C][C]3.48850216265921[/C][C]0.0372986597813242[/C][/ROW]
[ROW][C]0.12[/C][C]3.49940228960239[/C][C]0.0326326863719604[/C][/ROW]
[ROW][C]0.13[/C][C]3.50866747524311[/C][C]0.0266368579758317[/C][/ROW]
[ROW][C]0.14[/C][C]3.51608698866844[/C][C]0.0206389209141267[/C][/ROW]
[ROW][C]0.15[/C][C]3.52180362375334[/C][C]0.0156702039578381[/C][/ROW]
[ROW][C]0.16[/C][C]3.52619508369543[/C][C]0.0124024618874247[/C][/ROW]
[ROW][C]0.17[/C][C]3.52974278146333[/C][C]0.011162723240965[/C][/ROW]
[ROW][C]0.18[/C][C]3.53292358238028[/C][C]0.0118071667240635[/C][/ROW]
[ROW][C]0.19[/C][C]3.53613740489289[/C][C]0.0137697849574889[/C][/ROW]
[ROW][C]0.2[/C][C]3.53966873021903[/C][C]0.0164128299793596[/C][/ROW]
[ROW][C]0.21[/C][C]3.54367478582981[/C][C]0.0192042341164807[/C][/ROW]
[ROW][C]0.22[/C][C]3.5481938493125[/C][C]0.0217181142783413[/C][/ROW]
[ROW][C]0.23[/C][C]3.55316925191961[/C][C]0.0236512847242511[/C][/ROW]
[ROW][C]0.24[/C][C]3.55848551221878[/C][C]0.0248671333015178[/C][/ROW]
[ROW][C]0.25[/C][C]3.5640121349735[/C][C]0.0254308317557218[/C][/ROW]
[ROW][C]0.26[/C][C]3.56964894078915[/C][C]0.0256206136753636[/C][/ROW]
[ROW][C]0.27[/C][C]3.57536563688156[/C][C]0.0259207527761239[/C][/ROW]
[ROW][C]0.28[/C][C]3.58122853608498[/C][C]0.0269597982770892[/C][/ROW]
[ROW][C]0.29[/C][C]3.58740903345108[/C][C]0.0293772578854647[/C][/ROW]
[ROW][C]0.3[/C][C]3.59417129343626[/C][C]0.0336433096661988[/C][/ROW]
[ROW][C]0.31[/C][C]3.60184000920295[/C][C]0.0398995161159645[/C][/ROW]
[ROW][C]0.32[/C][C]3.61075250607782[/C][C]0.0479431981988111[/C][/ROW]
[ROW][C]0.33[/C][C]3.62120238986865[/C][C]0.0572852380948418[/C][/ROW]
[ROW][C]0.34[/C][C]3.63338394251223[/C][C]0.0672042601150539[/C][/ROW]
[ROW][C]0.35[/C][C]3.64734710894526[/C][C]0.0768292134614487[/C][/ROW]
[ROW][C]0.36[/C][C]3.66297185093928[/C][C]0.0852451120066101[/C][/ROW]
[ROW][C]0.37[/C][C]3.67996776802642[/C][C]0.0916018253861571[/C][/ROW]
[ROW][C]0.38[/C][C]3.69790052416502[/C][C]0.0952650602733257[/C][/ROW]
[ROW][C]0.39[/C][C]3.71624156123874[/C][C]0.09590899240997[/C][/ROW]
[ROW][C]0.4[/C][C]3.73443294290979[/C][C]0.0935617288333472[/C][/ROW]
[ROW][C]0.41[/C][C]3.75195608987975[/C][C]0.0886072701583954[/C][/ROW]
[ROW][C]0.42[/C][C]3.76839243582085[/C][C]0.0817109995567386[/C][/ROW]
[ROW][C]0.43[/C][C]3.78346584443384[/C][C]0.0737189016943765[/C][/ROW]
[ROW][C]0.44[/C][C]3.79706050950362[/C][C]0.0655190859930919[/C][/ROW]
[ROW][C]0.45[/C][C]3.80921303256765[/C][C]0.0579307815632606[/C][/ROW]
[ROW][C]0.46[/C][C]3.82008225954446[/C][C]0.0515864188677587[/C][/ROW]
[ROW][C]0.47[/C][C]3.82990421664668[/C][C]0.0468463974507145[/C][/ROW]
[ROW][C]0.48[/C][C]3.83894145699585[/C][C]0.0437428796879272[/C][/ROW]
[ROW][C]0.49[/C][C]3.84743613116395[/C][C]0.0419928482732445[/C][/ROW]
[ROW][C]0.5[/C][C]3.85557437828979[/C][C]0.041106403838612[/C][/ROW]
[ROW][C]0.51[/C][C]3.86346674488509[/C][C]0.0405343642134439[/C][/ROW]
[ROW][C]0.52[/C][C]3.87114595095338[/C][C]0.039804434053589[/C][/ROW]
[ROW][C]0.53[/C][C]3.87858009718159[/C][C]0.0385924540129249[/C][/ROW]
[ROW][C]0.54[/C][C]3.88569688170868[/C][C]0.0367581963657199[/C][/ROW]
[ROW][C]0.55[/C][C]3.89241292326003[/C][C]0.0343344158213092[/C][/ROW]
[ROW][C]0.56[/C][C]3.89866200506403[/C][C]0.0315031590982071[/C][/ROW]
[ROW][C]0.57[/C][C]3.90441688131141[/C][C]0.0285488191534626[/C][/ROW]
[ROW][C]0.58[/C][C]3.90970096558292[/C][C]0.0258044468294618[/C][/ROW]
[ROW][C]0.59[/C][C]3.91458837533702[/C][C]0.0235955197916621[/C][/ROW]
[ROW][C]0.6[/C][C]3.9191930326568[/C][C]0.0221707634524928[/C][/ROW]
[ROW][C]0.61[/C][C]3.92364945654431[/C][C]0.0216338335973516[/C][/ROW]
[ROW][C]0.62[/C][C]3.92808925607502[/C][C]0.0219002615936124[/C][/ROW]
[ROW][C]0.63[/C][C]3.93261798606369[/C][C]0.0227210418519183[/C][/ROW]
[ROW][C]0.64[/C][C]3.93729690098076[/C][C]0.0237489872718044[/C][/ROW]
[ROW][C]0.65[/C][C]3.94213327648919[/C][C]0.0246484928850176[/C][/ROW]
[ROW][C]0.66[/C][C]3.94708149096838[/C][C]0.0251248912089982[/C][/ROW]
[ROW][C]0.67[/C][C]3.9520551937078[/C][C]0.0249941185951543[/C][/ROW]
[ROW][C]0.68[/C][C]3.95694892981671[/C][C]0.0242015821966402[/C][/ROW]
[ROW][C]0.69[/C][C]3.96166586806018[/C][C]0.0228350820065613[/C][/ROW]
[ROW][C]0.7[/C][C]3.96614705820894[/C][C]0.0211268514416239[/C][/ROW]
[ROW][C]0.71[/C][C]3.97039707555683[/C][C]0.0194371934488302[/C][/ROW]
[ROW][C]0.72[/C][C]3.97450099597541[/C][C]0.0182332382045849[/C][/ROW]
[ROW][C]0.73[/C][C]3.97862831355353[/C][C]0.0180332077257651[/C][/ROW]
[ROW][C]0.74[/C][C]3.98302064238325[/C][C]0.0192607515451291[/C][/ROW]
[ROW][C]0.75[/C][C]3.98796195546976[/C][C]0.0220484978108953[/C][/ROW]
[ROW][C]0.76[/C][C]3.99373291955089[/C][C]0.026178776558525[/C][/ROW]
[ROW][C]0.77[/C][C]4.00055463602779[/C][C]0.0311517318165766[/C][/ROW]
[ROW][C]0.78[/C][C]4.00853131717955[/C][C]0.0362768064766518[/C][/ROW]
[ROW][C]0.79[/C][C]4.01760486575973[/C][C]0.0407516624651798[/C][/ROW]
[ROW][C]0.8[/C][C]4.02753515287378[/C][C]0.0437805847188645[/C][/ROW]
[ROW][C]0.81[/C][C]4.03791634205021[/C][C]0.0447352032800107[/C][/ROW]
[ROW][C]0.82[/C][C]4.04823150986938[/C][C]0.0432905932811941[/C][/ROW]
[ROW][C]0.83[/C][C]4.05793685890237[/C][C]0.0395407986721484[/C][/ROW]
[ROW][C]0.84[/C][C]4.0665569267826[/C][C]0.0339794101488986[/C][/ROW]
[ROW][C]0.85[/C][C]4.0737680978593[/C][C]0.0273834511435313[/C][/ROW]
[ROW][C]0.86[/C][C]4.07945275351669[/C][C]0.0206494294024251[/C][/ROW]
[ROW][C]0.87[/C][C]4.08372032474817[/C][C]0.0146021875867403[/C][/ROW]
[ROW][C]0.88[/C][C]4.08690927850561[/C][C]0.00990084069850669[/C][/ROW]
[ROW][C]0.89[/C][C]4.08959559936343[/C][C]0.00724015061996279[/C][/ROW]
[ROW][C]0.9[/C][C]4.09262463097749[/C][C]0.00781855686780669[/C][/ROW]
[ROW][C]0.91[/C][C]4.0971413931318[/C][C]0.0124190975879944[/C][/ROW]
[ROW][C]0.92[/C][C]4.1045231627715[/C][C]0.020849171759723[/C][/ROW]
[ROW][C]0.93[/C][C]4.11606352363398[/C][C]0.0322193253282422[/C][/ROW]
[ROW][C]0.94[/C][C]4.13232150924373[/C][C]0.0438000920464416[/C][/ROW]
[ROW][C]0.95[/C][C]4.15232797890537[/C][C]0.0507860911439697[/C][/ROW]
[ROW][C]0.96[/C][C]4.17324368856694[/C][C]0.0483915152536188[/C][/ROW]
[ROW][C]0.97[/C][C]4.19116456371314[/C][C]0.0357785099020109[/C][/ROW]
[ROW][C]0.98[/C][C]4.20306629136609[/C][C]0.0184730841404174[/C][/ROW]
[ROW][C]0.99[/C][C]4.20859904393534[/C][C]0.0051196938918805[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212536&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212536&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
0.013.430011036244445.60657650329424e-05
0.023.430095484746650.000410920092068173
0.033.430445560187910.00162900434291198
0.043.431460674282150.00449723702695877
0.053.4337438830710.0096105366509075
0.063.437958009643360.0168529123505793
0.073.444571625560760.0251331940477091
0.083.453616690664670.0326868554661355
0.093.464593802212730.0377578569510531
0.13.476582460347160.0393000466222678
0.113.488502162659210.0372986597813242
0.123.499402289602390.0326326863719604
0.133.508667475243110.0266368579758317
0.143.516086988668440.0206389209141267
0.153.521803623753340.0156702039578381
0.163.526195083695430.0124024618874247
0.173.529742781463330.011162723240965
0.183.532923582380280.0118071667240635
0.193.536137404892890.0137697849574889
0.23.539668730219030.0164128299793596
0.213.543674785829810.0192042341164807
0.223.54819384931250.0217181142783413
0.233.553169251919610.0236512847242511
0.243.558485512218780.0248671333015178
0.253.56401213497350.0254308317557218
0.263.569648940789150.0256206136753636
0.273.575365636881560.0259207527761239
0.283.581228536084980.0269597982770892
0.293.587409033451080.0293772578854647
0.33.594171293436260.0336433096661988
0.313.601840009202950.0398995161159645
0.323.610752506077820.0479431981988111
0.333.621202389868650.0572852380948418
0.343.633383942512230.0672042601150539
0.353.647347108945260.0768292134614487
0.363.662971850939280.0852451120066101
0.373.679967768026420.0916018253861571
0.383.697900524165020.0952650602733257
0.393.716241561238740.09590899240997
0.43.734432942909790.0935617288333472
0.413.751956089879750.0886072701583954
0.423.768392435820850.0817109995567386
0.433.783465844433840.0737189016943765
0.443.797060509503620.0655190859930919
0.453.809213032567650.0579307815632606
0.463.820082259544460.0515864188677587
0.473.829904216646680.0468463974507145
0.483.838941456995850.0437428796879272
0.493.847436131163950.0419928482732445
0.53.855574378289790.041106403838612
0.513.863466744885090.0405343642134439
0.523.871145950953380.039804434053589
0.533.878580097181590.0385924540129249
0.543.885696881708680.0367581963657199
0.553.892412923260030.0343344158213092
0.563.898662005064030.0315031590982071
0.573.904416881311410.0285488191534626
0.583.909700965582920.0258044468294618
0.593.914588375337020.0235955197916621
0.63.91919303265680.0221707634524928
0.613.923649456544310.0216338335973516
0.623.928089256075020.0219002615936124
0.633.932617986063690.0227210418519183
0.643.937296900980760.0237489872718044
0.653.942133276489190.0246484928850176
0.663.947081490968380.0251248912089982
0.673.95205519370780.0249941185951543
0.683.956948929816710.0242015821966402
0.693.961665868060180.0228350820065613
0.73.966147058208940.0211268514416239
0.713.970397075556830.0194371934488302
0.723.974500995975410.0182332382045849
0.733.978628313553530.0180332077257651
0.743.983020642383250.0192607515451291
0.753.987961955469760.0220484978108953
0.763.993732919550890.026178776558525
0.774.000554636027790.0311517318165766
0.784.008531317179550.0362768064766518
0.794.017604865759730.0407516624651798
0.84.027535152873780.0437805847188645
0.814.037916342050210.0447352032800107
0.824.048231509869380.0432905932811941
0.834.057936858902370.0395407986721484
0.844.06655692678260.0339794101488986
0.854.07376809785930.0273834511435313
0.864.079452753516690.0206494294024251
0.874.083720324748170.0146021875867403
0.884.086909278505610.00990084069850669
0.894.089595599363430.00724015061996279
0.94.092624630977490.00781855686780669
0.914.09714139313180.0124190975879944
0.924.10452316277150.020849171759723
0.934.116063523633980.0322193253282422
0.944.132321509243730.0438000920464416
0.954.152327978905370.0507860911439697
0.964.173243688566940.0483915152536188
0.974.191164563713140.0357785099020109
0.984.203066291366090.0184730841404174
0.994.208599043935340.0051196938918805



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):
par3 <- '0.01'
par2 <- '0.09'
par1 <- '0.01'
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')