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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 21 Feb 2013 11:35:20 -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/2013/Feb/21/t1361464559clt7yzyzxhvlxlb.htm/, Retrieved Thu, 02 May 2024 20:56:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206807, Retrieved Thu, 02 May 2024 20:56:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact74

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] [snoep uit automaten] [2013-02-21 16:35:20] [3ee9032f7b5fbe5092f0a094fc771125] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.66
0.67
0.67
0.67
0.67
0.67
0.67
0.67
0.67
0.67
0.67
0.67
0.67
0.69
0.7
0.7
0.7
0.7
0.7
0.7
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.72
0.72
0.72
0.72
0.73
0.73
0.73
0.73
0.73
0.73
0.73
0.73
0.73
0.73
0.73
0.73
0.74
0.75
0.75
0.75
0.75
0.76
0.76
0.76
0.77
0.77
0.78
0.78
0.78
0.78
0.79
0.79
0.79
0.8
0.8
0.8
0.8
0.81
0.8
0.81
0.82
0.82
0.82
0.82

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'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=206807&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=206807&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206807&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.6624891026688190.00744719720549054
0.020.6655571887287920.00443916685444874
0.030.6678505778608850.00216735400358997
0.040.6691223447477690.000896822593808353
0.050.6696944423374250.000328710935448702
0.060.6699218016187410.000145402140624562
0.070.6700253994409460.00021030521172795
0.080.6701202117535690.0004407228096813
0.090.6702747209693090.000860821125994328
0.10.6705483054427670.00153428937828227
0.110.6710053595616130.00251206384455202
0.120.6717147140572510.00380732506910171
0.130.6727407605199440.00537408286192701
0.140.674130804902560.00710467482609626
0.150.675902804043680.00883837568821605
0.160.6780373802346690.0103911635718523
0.170.6804768926074260.0115942400779353
0.180.6831323259499470.0123276629708508
0.190.6858964535864270.012545629303848
0.20.6886599649597340.0122798260607491
0.210.6913266221907970.0116261313387488
0.220.6938241487393850.0107199800974291
0.230.6961091024552550.00970489599384102
0.240.6981658124697760.00870480663700919
0.250.7000009385756750.00780493926017564
0.260.701635951185280.00704903188202384
0.270.7030997624299330.00644134061208471
0.280.7044230714883970.00596459537223734
0.290.7056350650916690.00559758129666959
0.30.7067622727256490.00532531549926193
0.310.7078288368717950.00514728006439485
0.320.7088572924020740.00507139589887933
0.330.7098690976920610.00510615098656949
0.340.710884490931920.00525207812751837
0.350.7119216128299320.00549561570064238
0.360.7129951279566680.00580995853185381
0.370.7141147322497550.00615725511926077
0.380.7152839486893680.00649714266231642
0.390.7164995206782830.00678914451048799
0.40.7177515646087810.00699710432194717
0.410.7190244891226970.00709491013131325
0.420.7202985640060140.00706528799337837
0.430.7215519430914960.00690440394301412
0.440.722762913131440.00661868221606466
0.450.7239121442088330.00622583305926122
0.460.7249847432071250.00575495301792954
0.470.7259719480443850.00524196701647473
0.480.7268723387360340.0047291208955242
0.490.7276924781109820.00426247122591657
0.50.7284469297071930.00389311714146156
0.510.7291576346604170.00367040581204566
0.520.7298526660513750.00363913123567219
0.530.7305644211783870.00382592124990222
0.540.7313273614679450.00423112085116534
0.550.7321754651936380.0048321691833344
0.560.7331396140184080.00558955562780923
0.570.7342451791722080.00645631833976581
0.580.7355100911841580.00738012412723606
0.590.7369436527612310.00830842549326463
0.60.7385462778696010.00919002219814715
0.610.740310213555340.00998391682988658
0.620.742221142137550.0106598983738831
0.630.7442604016779260.0112040142290014
0.640.7464074408168590.0116163802810478
0.650.7486420754488310.011911662621667
0.660.7509461598120110.0121114707068854
0.670.7533044209882310.0122388574188409
0.680.755704406158430.012312923003331
0.690.7581357089605060.0123442592514171
0.70.7605888189779530.0123327364760823
0.710.7630540265535330.0122715670788977
0.720.7655207835380130.0121488985629784
0.730.7679777693079530.0119560197688689
0.740.7704136743096770.0116914828060626
0.750.7728184531640340.0113647777557249
0.760.7751845937017970.0109941161379737
0.770.7775078700044190.0106048265042611
0.780.7797871432283630.0102199297583728
0.790.7820230474407940.0098545068847357
0.80.784215802084540.00950703508651109
0.810.7863628328917650.00915990165497656
0.820.7884572259043480.00878451012195402
0.830.7904881316401950.00835190629310353
0.840.7924439372366020.00784659005334194
0.850.7943182595934810.007282418353242
0.860.7961176522720010.00670990932655193
0.870.7978686438125290.0062194819126976
0.880.7996208153875910.00592519085864679
0.890.8014426149311640.00591866103206197
0.90.8034078348587080.00620733054452364
0.910.805573132497210.00668144526116439
0.920.8079503602483940.00713933676078321
0.930.8104814587659610.007335842381691
0.940.8130275649870010.00703977686738663
0.950.8153854985422050.0061159569845257
0.960.8173390830802440.0046240726621769
0.970.818735423741420.00287114072155736
0.980.8195518334366930.0013225807732668
0.990.8199075806901650.000352312888202469

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.662489102668819 & 0.00744719720549054 \tabularnewline
0.02 & 0.665557188728792 & 0.00443916685444874 \tabularnewline
0.03 & 0.667850577860885 & 0.00216735400358997 \tabularnewline
0.04 & 0.669122344747769 & 0.000896822593808353 \tabularnewline
0.05 & 0.669694442337425 & 0.000328710935448702 \tabularnewline
0.06 & 0.669921801618741 & 0.000145402140624562 \tabularnewline
0.07 & 0.670025399440946 & 0.00021030521172795 \tabularnewline
0.08 & 0.670120211753569 & 0.0004407228096813 \tabularnewline
0.09 & 0.670274720969309 & 0.000860821125994328 \tabularnewline
0.1 & 0.670548305442767 & 0.00153428937828227 \tabularnewline
0.11 & 0.671005359561613 & 0.00251206384455202 \tabularnewline
0.12 & 0.671714714057251 & 0.00380732506910171 \tabularnewline
0.13 & 0.672740760519944 & 0.00537408286192701 \tabularnewline
0.14 & 0.67413080490256 & 0.00710467482609626 \tabularnewline
0.15 & 0.67590280404368 & 0.00883837568821605 \tabularnewline
0.16 & 0.678037380234669 & 0.0103911635718523 \tabularnewline
0.17 & 0.680476892607426 & 0.0115942400779353 \tabularnewline
0.18 & 0.683132325949947 & 0.0123276629708508 \tabularnewline
0.19 & 0.685896453586427 & 0.012545629303848 \tabularnewline
0.2 & 0.688659964959734 & 0.0122798260607491 \tabularnewline
0.21 & 0.691326622190797 & 0.0116261313387488 \tabularnewline
0.22 & 0.693824148739385 & 0.0107199800974291 \tabularnewline
0.23 & 0.696109102455255 & 0.00970489599384102 \tabularnewline
0.24 & 0.698165812469776 & 0.00870480663700919 \tabularnewline
0.25 & 0.700000938575675 & 0.00780493926017564 \tabularnewline
0.26 & 0.70163595118528 & 0.00704903188202384 \tabularnewline
0.27 & 0.703099762429933 & 0.00644134061208471 \tabularnewline
0.28 & 0.704423071488397 & 0.00596459537223734 \tabularnewline
0.29 & 0.705635065091669 & 0.00559758129666959 \tabularnewline
0.3 & 0.706762272725649 & 0.00532531549926193 \tabularnewline
0.31 & 0.707828836871795 & 0.00514728006439485 \tabularnewline
0.32 & 0.708857292402074 & 0.00507139589887933 \tabularnewline
0.33 & 0.709869097692061 & 0.00510615098656949 \tabularnewline
0.34 & 0.71088449093192 & 0.00525207812751837 \tabularnewline
0.35 & 0.711921612829932 & 0.00549561570064238 \tabularnewline
0.36 & 0.712995127956668 & 0.00580995853185381 \tabularnewline
0.37 & 0.714114732249755 & 0.00615725511926077 \tabularnewline
0.38 & 0.715283948689368 & 0.00649714266231642 \tabularnewline
0.39 & 0.716499520678283 & 0.00678914451048799 \tabularnewline
0.4 & 0.717751564608781 & 0.00699710432194717 \tabularnewline
0.41 & 0.719024489122697 & 0.00709491013131325 \tabularnewline
0.42 & 0.720298564006014 & 0.00706528799337837 \tabularnewline
0.43 & 0.721551943091496 & 0.00690440394301412 \tabularnewline
0.44 & 0.72276291313144 & 0.00661868221606466 \tabularnewline
0.45 & 0.723912144208833 & 0.00622583305926122 \tabularnewline
0.46 & 0.724984743207125 & 0.00575495301792954 \tabularnewline
0.47 & 0.725971948044385 & 0.00524196701647473 \tabularnewline
0.48 & 0.726872338736034 & 0.0047291208955242 \tabularnewline
0.49 & 0.727692478110982 & 0.00426247122591657 \tabularnewline
0.5 & 0.728446929707193 & 0.00389311714146156 \tabularnewline
0.51 & 0.729157634660417 & 0.00367040581204566 \tabularnewline
0.52 & 0.729852666051375 & 0.00363913123567219 \tabularnewline
0.53 & 0.730564421178387 & 0.00382592124990222 \tabularnewline
0.54 & 0.731327361467945 & 0.00423112085116534 \tabularnewline
0.55 & 0.732175465193638 & 0.0048321691833344 \tabularnewline
0.56 & 0.733139614018408 & 0.00558955562780923 \tabularnewline
0.57 & 0.734245179172208 & 0.00645631833976581 \tabularnewline
0.58 & 0.735510091184158 & 0.00738012412723606 \tabularnewline
0.59 & 0.736943652761231 & 0.00830842549326463 \tabularnewline
0.6 & 0.738546277869601 & 0.00919002219814715 \tabularnewline
0.61 & 0.74031021355534 & 0.00998391682988658 \tabularnewline
0.62 & 0.74222114213755 & 0.0106598983738831 \tabularnewline
0.63 & 0.744260401677926 & 0.0112040142290014 \tabularnewline
0.64 & 0.746407440816859 & 0.0116163802810478 \tabularnewline
0.65 & 0.748642075448831 & 0.011911662621667 \tabularnewline
0.66 & 0.750946159812011 & 0.0121114707068854 \tabularnewline
0.67 & 0.753304420988231 & 0.0122388574188409 \tabularnewline
0.68 & 0.75570440615843 & 0.012312923003331 \tabularnewline
0.69 & 0.758135708960506 & 0.0123442592514171 \tabularnewline
0.7 & 0.760588818977953 & 0.0123327364760823 \tabularnewline
0.71 & 0.763054026553533 & 0.0122715670788977 \tabularnewline
0.72 & 0.765520783538013 & 0.0121488985629784 \tabularnewline
0.73 & 0.767977769307953 & 0.0119560197688689 \tabularnewline
0.74 & 0.770413674309677 & 0.0116914828060626 \tabularnewline
0.75 & 0.772818453164034 & 0.0113647777557249 \tabularnewline
0.76 & 0.775184593701797 & 0.0109941161379737 \tabularnewline
0.77 & 0.777507870004419 & 0.0106048265042611 \tabularnewline
0.78 & 0.779787143228363 & 0.0102199297583728 \tabularnewline
0.79 & 0.782023047440794 & 0.0098545068847357 \tabularnewline
0.8 & 0.78421580208454 & 0.00950703508651109 \tabularnewline
0.81 & 0.786362832891765 & 0.00915990165497656 \tabularnewline
0.82 & 0.788457225904348 & 0.00878451012195402 \tabularnewline
0.83 & 0.790488131640195 & 0.00835190629310353 \tabularnewline
0.84 & 0.792443937236602 & 0.00784659005334194 \tabularnewline
0.85 & 0.794318259593481 & 0.007282418353242 \tabularnewline
0.86 & 0.796117652272001 & 0.00670990932655193 \tabularnewline
0.87 & 0.797868643812529 & 0.0062194819126976 \tabularnewline
0.88 & 0.799620815387591 & 0.00592519085864679 \tabularnewline
0.89 & 0.801442614931164 & 0.00591866103206197 \tabularnewline
0.9 & 0.803407834858708 & 0.00620733054452364 \tabularnewline
0.91 & 0.80557313249721 & 0.00668144526116439 \tabularnewline
0.92 & 0.807950360248394 & 0.00713933676078321 \tabularnewline
0.93 & 0.810481458765961 & 0.007335842381691 \tabularnewline
0.94 & 0.813027564987001 & 0.00703977686738663 \tabularnewline
0.95 & 0.815385498542205 & 0.0061159569845257 \tabularnewline
0.96 & 0.817339083080244 & 0.0046240726621769 \tabularnewline
0.97 & 0.81873542374142 & 0.00287114072155736 \tabularnewline
0.98 & 0.819551833436693 & 0.0013225807732668 \tabularnewline
0.99 & 0.819907580690165 & 0.000352312888202469 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206807&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]0.662489102668819[/C][C]0.00744719720549054[/C][/ROW]
[ROW][C]0.02[/C][C]0.665557188728792[/C][C]0.00443916685444874[/C][/ROW]
[ROW][C]0.03[/C][C]0.667850577860885[/C][C]0.00216735400358997[/C][/ROW]
[ROW][C]0.04[/C][C]0.669122344747769[/C][C]0.000896822593808353[/C][/ROW]
[ROW][C]0.05[/C][C]0.669694442337425[/C][C]0.000328710935448702[/C][/ROW]
[ROW][C]0.06[/C][C]0.669921801618741[/C][C]0.000145402140624562[/C][/ROW]
[ROW][C]0.07[/C][C]0.670025399440946[/C][C]0.00021030521172795[/C][/ROW]
[ROW][C]0.08[/C][C]0.670120211753569[/C][C]0.0004407228096813[/C][/ROW]
[ROW][C]0.09[/C][C]0.670274720969309[/C][C]0.000860821125994328[/C][/ROW]
[ROW][C]0.1[/C][C]0.670548305442767[/C][C]0.00153428937828227[/C][/ROW]
[ROW][C]0.11[/C][C]0.671005359561613[/C][C]0.00251206384455202[/C][/ROW]
[ROW][C]0.12[/C][C]0.671714714057251[/C][C]0.00380732506910171[/C][/ROW]
[ROW][C]0.13[/C][C]0.672740760519944[/C][C]0.00537408286192701[/C][/ROW]
[ROW][C]0.14[/C][C]0.67413080490256[/C][C]0.00710467482609626[/C][/ROW]
[ROW][C]0.15[/C][C]0.67590280404368[/C][C]0.00883837568821605[/C][/ROW]
[ROW][C]0.16[/C][C]0.678037380234669[/C][C]0.0103911635718523[/C][/ROW]
[ROW][C]0.17[/C][C]0.680476892607426[/C][C]0.0115942400779353[/C][/ROW]
[ROW][C]0.18[/C][C]0.683132325949947[/C][C]0.0123276629708508[/C][/ROW]
[ROW][C]0.19[/C][C]0.685896453586427[/C][C]0.012545629303848[/C][/ROW]
[ROW][C]0.2[/C][C]0.688659964959734[/C][C]0.0122798260607491[/C][/ROW]
[ROW][C]0.21[/C][C]0.691326622190797[/C][C]0.0116261313387488[/C][/ROW]
[ROW][C]0.22[/C][C]0.693824148739385[/C][C]0.0107199800974291[/C][/ROW]
[ROW][C]0.23[/C][C]0.696109102455255[/C][C]0.00970489599384102[/C][/ROW]
[ROW][C]0.24[/C][C]0.698165812469776[/C][C]0.00870480663700919[/C][/ROW]
[ROW][C]0.25[/C][C]0.700000938575675[/C][C]0.00780493926017564[/C][/ROW]
[ROW][C]0.26[/C][C]0.70163595118528[/C][C]0.00704903188202384[/C][/ROW]
[ROW][C]0.27[/C][C]0.703099762429933[/C][C]0.00644134061208471[/C][/ROW]
[ROW][C]0.28[/C][C]0.704423071488397[/C][C]0.00596459537223734[/C][/ROW]
[ROW][C]0.29[/C][C]0.705635065091669[/C][C]0.00559758129666959[/C][/ROW]
[ROW][C]0.3[/C][C]0.706762272725649[/C][C]0.00532531549926193[/C][/ROW]
[ROW][C]0.31[/C][C]0.707828836871795[/C][C]0.00514728006439485[/C][/ROW]
[ROW][C]0.32[/C][C]0.708857292402074[/C][C]0.00507139589887933[/C][/ROW]
[ROW][C]0.33[/C][C]0.709869097692061[/C][C]0.00510615098656949[/C][/ROW]
[ROW][C]0.34[/C][C]0.71088449093192[/C][C]0.00525207812751837[/C][/ROW]
[ROW][C]0.35[/C][C]0.711921612829932[/C][C]0.00549561570064238[/C][/ROW]
[ROW][C]0.36[/C][C]0.712995127956668[/C][C]0.00580995853185381[/C][/ROW]
[ROW][C]0.37[/C][C]0.714114732249755[/C][C]0.00615725511926077[/C][/ROW]
[ROW][C]0.38[/C][C]0.715283948689368[/C][C]0.00649714266231642[/C][/ROW]
[ROW][C]0.39[/C][C]0.716499520678283[/C][C]0.00678914451048799[/C][/ROW]
[ROW][C]0.4[/C][C]0.717751564608781[/C][C]0.00699710432194717[/C][/ROW]
[ROW][C]0.41[/C][C]0.719024489122697[/C][C]0.00709491013131325[/C][/ROW]
[ROW][C]0.42[/C][C]0.720298564006014[/C][C]0.00706528799337837[/C][/ROW]
[ROW][C]0.43[/C][C]0.721551943091496[/C][C]0.00690440394301412[/C][/ROW]
[ROW][C]0.44[/C][C]0.72276291313144[/C][C]0.00661868221606466[/C][/ROW]
[ROW][C]0.45[/C][C]0.723912144208833[/C][C]0.00622583305926122[/C][/ROW]
[ROW][C]0.46[/C][C]0.724984743207125[/C][C]0.00575495301792954[/C][/ROW]
[ROW][C]0.47[/C][C]0.725971948044385[/C][C]0.00524196701647473[/C][/ROW]
[ROW][C]0.48[/C][C]0.726872338736034[/C][C]0.0047291208955242[/C][/ROW]
[ROW][C]0.49[/C][C]0.727692478110982[/C][C]0.00426247122591657[/C][/ROW]
[ROW][C]0.5[/C][C]0.728446929707193[/C][C]0.00389311714146156[/C][/ROW]
[ROW][C]0.51[/C][C]0.729157634660417[/C][C]0.00367040581204566[/C][/ROW]
[ROW][C]0.52[/C][C]0.729852666051375[/C][C]0.00363913123567219[/C][/ROW]
[ROW][C]0.53[/C][C]0.730564421178387[/C][C]0.00382592124990222[/C][/ROW]
[ROW][C]0.54[/C][C]0.731327361467945[/C][C]0.00423112085116534[/C][/ROW]
[ROW][C]0.55[/C][C]0.732175465193638[/C][C]0.0048321691833344[/C][/ROW]
[ROW][C]0.56[/C][C]0.733139614018408[/C][C]0.00558955562780923[/C][/ROW]
[ROW][C]0.57[/C][C]0.734245179172208[/C][C]0.00645631833976581[/C][/ROW]
[ROW][C]0.58[/C][C]0.735510091184158[/C][C]0.00738012412723606[/C][/ROW]
[ROW][C]0.59[/C][C]0.736943652761231[/C][C]0.00830842549326463[/C][/ROW]
[ROW][C]0.6[/C][C]0.738546277869601[/C][C]0.00919002219814715[/C][/ROW]
[ROW][C]0.61[/C][C]0.74031021355534[/C][C]0.00998391682988658[/C][/ROW]
[ROW][C]0.62[/C][C]0.74222114213755[/C][C]0.0106598983738831[/C][/ROW]
[ROW][C]0.63[/C][C]0.744260401677926[/C][C]0.0112040142290014[/C][/ROW]
[ROW][C]0.64[/C][C]0.746407440816859[/C][C]0.0116163802810478[/C][/ROW]
[ROW][C]0.65[/C][C]0.748642075448831[/C][C]0.011911662621667[/C][/ROW]
[ROW][C]0.66[/C][C]0.750946159812011[/C][C]0.0121114707068854[/C][/ROW]
[ROW][C]0.67[/C][C]0.753304420988231[/C][C]0.0122388574188409[/C][/ROW]
[ROW][C]0.68[/C][C]0.75570440615843[/C][C]0.012312923003331[/C][/ROW]
[ROW][C]0.69[/C][C]0.758135708960506[/C][C]0.0123442592514171[/C][/ROW]
[ROW][C]0.7[/C][C]0.760588818977953[/C][C]0.0123327364760823[/C][/ROW]
[ROW][C]0.71[/C][C]0.763054026553533[/C][C]0.0122715670788977[/C][/ROW]
[ROW][C]0.72[/C][C]0.765520783538013[/C][C]0.0121488985629784[/C][/ROW]
[ROW][C]0.73[/C][C]0.767977769307953[/C][C]0.0119560197688689[/C][/ROW]
[ROW][C]0.74[/C][C]0.770413674309677[/C][C]0.0116914828060626[/C][/ROW]
[ROW][C]0.75[/C][C]0.772818453164034[/C][C]0.0113647777557249[/C][/ROW]
[ROW][C]0.76[/C][C]0.775184593701797[/C][C]0.0109941161379737[/C][/ROW]
[ROW][C]0.77[/C][C]0.777507870004419[/C][C]0.0106048265042611[/C][/ROW]
[ROW][C]0.78[/C][C]0.779787143228363[/C][C]0.0102199297583728[/C][/ROW]
[ROW][C]0.79[/C][C]0.782023047440794[/C][C]0.0098545068847357[/C][/ROW]
[ROW][C]0.8[/C][C]0.78421580208454[/C][C]0.00950703508651109[/C][/ROW]
[ROW][C]0.81[/C][C]0.786362832891765[/C][C]0.00915990165497656[/C][/ROW]
[ROW][C]0.82[/C][C]0.788457225904348[/C][C]0.00878451012195402[/C][/ROW]
[ROW][C]0.83[/C][C]0.790488131640195[/C][C]0.00835190629310353[/C][/ROW]
[ROW][C]0.84[/C][C]0.792443937236602[/C][C]0.00784659005334194[/C][/ROW]
[ROW][C]0.85[/C][C]0.794318259593481[/C][C]0.007282418353242[/C][/ROW]
[ROW][C]0.86[/C][C]0.796117652272001[/C][C]0.00670990932655193[/C][/ROW]
[ROW][C]0.87[/C][C]0.797868643812529[/C][C]0.0062194819126976[/C][/ROW]
[ROW][C]0.88[/C][C]0.799620815387591[/C][C]0.00592519085864679[/C][/ROW]
[ROW][C]0.89[/C][C]0.801442614931164[/C][C]0.00591866103206197[/C][/ROW]
[ROW][C]0.9[/C][C]0.803407834858708[/C][C]0.00620733054452364[/C][/ROW]
[ROW][C]0.91[/C][C]0.80557313249721[/C][C]0.00668144526116439[/C][/ROW]
[ROW][C]0.92[/C][C]0.807950360248394[/C][C]0.00713933676078321[/C][/ROW]
[ROW][C]0.93[/C][C]0.810481458765961[/C][C]0.007335842381691[/C][/ROW]
[ROW][C]0.94[/C][C]0.813027564987001[/C][C]0.00703977686738663[/C][/ROW]
[ROW][C]0.95[/C][C]0.815385498542205[/C][C]0.0061159569845257[/C][/ROW]
[ROW][C]0.96[/C][C]0.817339083080244[/C][C]0.0046240726621769[/C][/ROW]
[ROW][C]0.97[/C][C]0.81873542374142[/C][C]0.00287114072155736[/C][/ROW]
[ROW][C]0.98[/C][C]0.819551833436693[/C][C]0.0013225807732668[/C][/ROW]
[ROW][C]0.99[/C][C]0.819907580690165[/C][C]0.000352312888202469[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206807&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206807&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
0.010.6624891026688190.00744719720549054
0.020.6655571887287920.00443916685444874
0.030.6678505778608850.00216735400358997
0.040.6691223447477690.000896822593808353
0.050.6696944423374250.000328710935448702
0.060.6699218016187410.000145402140624562
0.070.6700253994409460.00021030521172795
0.080.6701202117535690.0004407228096813
0.090.6702747209693090.000860821125994328
0.10.6705483054427670.00153428937828227
0.110.6710053595616130.00251206384455202
0.120.6717147140572510.00380732506910171
0.130.6727407605199440.00537408286192701
0.140.674130804902560.00710467482609626
0.150.675902804043680.00883837568821605
0.160.6780373802346690.0103911635718523
0.170.6804768926074260.0115942400779353
0.180.6831323259499470.0123276629708508
0.190.6858964535864270.012545629303848
0.20.6886599649597340.0122798260607491
0.210.6913266221907970.0116261313387488
0.220.6938241487393850.0107199800974291
0.230.6961091024552550.00970489599384102
0.240.6981658124697760.00870480663700919
0.250.7000009385756750.00780493926017564
0.260.701635951185280.00704903188202384
0.270.7030997624299330.00644134061208471
0.280.7044230714883970.00596459537223734
0.290.7056350650916690.00559758129666959
0.30.7067622727256490.00532531549926193
0.310.7078288368717950.00514728006439485
0.320.7088572924020740.00507139589887933
0.330.7098690976920610.00510615098656949
0.340.710884490931920.00525207812751837
0.350.7119216128299320.00549561570064238
0.360.7129951279566680.00580995853185381
0.370.7141147322497550.00615725511926077
0.380.7152839486893680.00649714266231642
0.390.7164995206782830.00678914451048799
0.40.7177515646087810.00699710432194717
0.410.7190244891226970.00709491013131325
0.420.7202985640060140.00706528799337837
0.430.7215519430914960.00690440394301412
0.440.722762913131440.00661868221606466
0.450.7239121442088330.00622583305926122
0.460.7249847432071250.00575495301792954
0.470.7259719480443850.00524196701647473
0.480.7268723387360340.0047291208955242
0.490.7276924781109820.00426247122591657
0.50.7284469297071930.00389311714146156
0.510.7291576346604170.00367040581204566
0.520.7298526660513750.00363913123567219
0.530.7305644211783870.00382592124990222
0.540.7313273614679450.00423112085116534
0.550.7321754651936380.0048321691833344
0.560.7331396140184080.00558955562780923
0.570.7342451791722080.00645631833976581
0.580.7355100911841580.00738012412723606
0.590.7369436527612310.00830842549326463
0.60.7385462778696010.00919002219814715
0.610.740310213555340.00998391682988658
0.620.742221142137550.0106598983738831
0.630.7442604016779260.0112040142290014
0.640.7464074408168590.0116163802810478
0.650.7486420754488310.011911662621667
0.660.7509461598120110.0121114707068854
0.670.7533044209882310.0122388574188409
0.680.755704406158430.012312923003331
0.690.7581357089605060.0123442592514171
0.70.7605888189779530.0123327364760823
0.710.7630540265535330.0122715670788977
0.720.7655207835380130.0121488985629784
0.730.7679777693079530.0119560197688689
0.740.7704136743096770.0116914828060626
0.750.7728184531640340.0113647777557249
0.760.7751845937017970.0109941161379737
0.770.7775078700044190.0106048265042611
0.780.7797871432283630.0102199297583728
0.790.7820230474407940.0098545068847357
0.80.784215802084540.00950703508651109
0.810.7863628328917650.00915990165497656
0.820.7884572259043480.00878451012195402
0.830.7904881316401950.00835190629310353
0.840.7924439372366020.00784659005334194
0.850.7943182595934810.007282418353242
0.860.7961176522720010.00670990932655193
0.870.7978686438125290.0062194819126976
0.880.7996208153875910.00592519085864679
0.890.8014426149311640.00591866103206197
0.90.8034078348587080.00620733054452364
0.910.805573132497210.00668144526116439
0.920.8079503602483940.00713933676078321
0.930.8104814587659610.007335842381691
0.940.8130275649870010.00703977686738663
0.950.8153854985422050.0061159569845257
0.960.8173390830802440.0046240726621769
0.970.818735423741420.00287114072155736
0.980.8195518334366930.0013225807732668
0.990.8199075806901650.000352312888202469


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')