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Description of Statistical Computation

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 computationMon, 27 Oct 2008 14:50:34 -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/27/t1225140713ds6idcfrfveun1q.htm/, Retrieved Sun, 19 May 2024 08:01:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19605, Retrieved Sun, 19 May 2024 08:01:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
-   PD  [Harrell-Davis Quantiles] [Q9 werkloosheid m...] [2008-10-27 17:27:58] [7d3039e6253bb5fb3b26df1537d500b4]
-           [Harrell-Davis Quantiles] [Q9 werkloosheid m...] [2008-10-27 20:50:34] [70ba55c7ff8e068610dc28fc16e6d1e2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.939759036
0.926829268
0.9375
0.962025316
0.986842105
0.960526316
0.926829268
0.903614458
0.904761905
0.94047619
0.94047619
0.941860465
0.921348315
0.909090909
0.903614458
0.906666667
0.902777778
0.88
0.863636364
0.860215054
0.860215054
0.885057471
0.914634146
0.915662651
0.905882353
0.918604651
0.906976744
0.914634146
0.925925926
0.8875
0.872093023
0.862068966
0.863636364
0.905882353
0.916666667
0.929411765
0.931034483
0.942528736
0.953488372
0.952941176
0.951807229
0.901234568
0.841463415
0.814814815
0.827160494
0.873417722
0.886075949
0.898734177
0.9
0.8875
0.873417722
0.875
0.883116883
0.888888889
0.893333333
0.917808219
0.914285714
0.9
0.885714286
0.902777778
0.931506849
0.957746479
0.955882353
0.954545455
0.951612903
0.951612903
0.941176471
0.927536232

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19605&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19605&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19605&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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.8191403000845420.0128685182256728
0.020.8262029729189470.0143578324906194
0.030.8341683454249590.0152020242265592
0.040.8417114630388720.0144731859602914
0.050.8481642321306570.0124742807004074
0.060.8533283720097320.0100388258702779
0.070.8573032324098430.00792043928200381
0.080.8603464047877750.00653503766300704
0.090.8627564135030450.00591880309807053
0.10.8647917548427740.00583505401589885
0.110.8666347302151850.00599452159338666
0.120.8683912337738470.00620228722852227
0.130.8701094044498760.00636550188161885
0.140.8718022521353770.00645924674721827
0.150.8734658746021860.00648853553253249
0.160.8750908142302860.00646490380410006
0.170.8766676315946420.00639490463371642
0.180.8781890048824450.00628616735431201
0.190.8796504133547130.00614278463856254
0.20.8810505796781190.00598049159112417
0.210.882391958792850.00582347238445736
0.220.8836810114905920.00569897110007296
0.230.884927868192460.00563322481322911
0.240.8861451694104420.00564179306394353
0.250.8873461819925430.00572210823618843
0.260.8885425645343480.00585692888067491
0.270.8897422874681750.00601416519661428
0.280.8909481782285760.00615661495651315
0.290.8921573959536350.00625047336829136
0.30.8933619113796940.00626864750411975
0.310.8945498467279950.00619625943199971
0.320.8957073711196620.00602982139706318
0.330.8968207764537510.005779636108537
0.340.8978783768897830.00546358045096235
0.350.8988719613796880.00510797569685751
0.360.8997976509723620.00473914539514503
0.370.9006561373644140.0043854082452058
0.380.901452379763490.00407093645163812
0.390.9021948986970340.00381475925470608
0.40.9028948257984480.00363009727505025
0.410.903564855969150.00352355887626405
0.420.9042182164892040.00349667295699433
0.430.9048677310988710.00354213499432340
0.440.9055250267502840.00365099347831462
0.450.9061999117697860.00380884553926889
0.460.9068999457177490.00399970695644111
0.470.907630218050450.00420741552716657
0.480.9083933478919850.00441605812926782
0.490.9091897052129130.00461321544108138
0.50.9100178324723560.00478947110861499
0.510.9108750179058540.00493850360310657
0.520.9117579437907610.00505962022517849
0.530.9126633139465360.00515706103720344
0.540.9135883624329820.00523804008017006
0.550.9145311642753620.00530922300039529
0.560.9154907078144550.00537917766796604
0.570.9164667396086760.00545198660828035
0.580.9174594446621150.00552950262097834
0.590.9184690633504870.0056093758718695
0.60.9194955600997890.00568682541555381
0.610.9205384417067270.0057552664719857
0.620.9215967773585070.00581007089031711
0.630.9226694085442190.0058489926574143
0.640.9237552722111620.00587415601558364
0.650.9248537141261630.00589114729426593
0.660.9259646579827710.00590522914923538
0.670.9270885278283560.00592341191499737
0.680.9282258936130330.00594798831495445
0.690.9293769060698020.00597672664600139
0.70.9305406812857310.00600211787542171
0.710.9317148560459360.00600986049732586
0.720.9328955346364780.00598830972194053
0.730.9340777712189730.00592854190323630
0.740.9352565845491520.00582653817970447
0.750.9364283135553980.00569187977007769
0.760.937591945099410.00554199894928008
0.770.9387499430505380.00540185977066744
0.780.9399081387234450.00529894468879437
0.790.9410744365549340.0052493869932717
0.80.942256426280930.005254190633072
0.810.9434583951801410.00528982134362045
0.820.9446785731290780.00531574182167226
0.830.9459075765934850.00528498425450677
0.840.9471288425891780.00515628213624535
0.850.9483213536786630.00490825735486185
0.860.9494642701361150.00454742578475616
0.870.9505424301571070.00410683086387754
0.880.951551305570990.00364294084324224
0.890.952500090935770.00322148386242909
0.90.9534122338518160.00290372466155716
0.910.9543239908756820.00272882928583523
0.920.9552840175284770.00270325466664839
0.930.9563617038216330.00280818807495455
0.940.9576791976498810.00304288988406606
0.950.9594842022627760.00354047994861499
0.960.9622480212087840.00478827658492409
0.970.9666542740266930.0076582122819843
0.980.9731584279437650.0127445690291316
0.990.980897878063860.0192785820009680

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.819140300084542 & 0.0128685182256728 \tabularnewline
0.02 & 0.826202972918947 & 0.0143578324906194 \tabularnewline
0.03 & 0.834168345424959 & 0.0152020242265592 \tabularnewline
0.04 & 0.841711463038872 & 0.0144731859602914 \tabularnewline
0.05 & 0.848164232130657 & 0.0124742807004074 \tabularnewline
0.06 & 0.853328372009732 & 0.0100388258702779 \tabularnewline
0.07 & 0.857303232409843 & 0.00792043928200381 \tabularnewline
0.08 & 0.860346404787775 & 0.00653503766300704 \tabularnewline
0.09 & 0.862756413503045 & 0.00591880309807053 \tabularnewline
0.1 & 0.864791754842774 & 0.00583505401589885 \tabularnewline
0.11 & 0.866634730215185 & 0.00599452159338666 \tabularnewline
0.12 & 0.868391233773847 & 0.00620228722852227 \tabularnewline
0.13 & 0.870109404449876 & 0.00636550188161885 \tabularnewline
0.14 & 0.871802252135377 & 0.00645924674721827 \tabularnewline
0.15 & 0.873465874602186 & 0.00648853553253249 \tabularnewline
0.16 & 0.875090814230286 & 0.00646490380410006 \tabularnewline
0.17 & 0.876667631594642 & 0.00639490463371642 \tabularnewline
0.18 & 0.878189004882445 & 0.00628616735431201 \tabularnewline
0.19 & 0.879650413354713 & 0.00614278463856254 \tabularnewline
0.2 & 0.881050579678119 & 0.00598049159112417 \tabularnewline
0.21 & 0.88239195879285 & 0.00582347238445736 \tabularnewline
0.22 & 0.883681011490592 & 0.00569897110007296 \tabularnewline
0.23 & 0.88492786819246 & 0.00563322481322911 \tabularnewline
0.24 & 0.886145169410442 & 0.00564179306394353 \tabularnewline
0.25 & 0.887346181992543 & 0.00572210823618843 \tabularnewline
0.26 & 0.888542564534348 & 0.00585692888067491 \tabularnewline
0.27 & 0.889742287468175 & 0.00601416519661428 \tabularnewline
0.28 & 0.890948178228576 & 0.00615661495651315 \tabularnewline
0.29 & 0.892157395953635 & 0.00625047336829136 \tabularnewline
0.3 & 0.893361911379694 & 0.00626864750411975 \tabularnewline
0.31 & 0.894549846727995 & 0.00619625943199971 \tabularnewline
0.32 & 0.895707371119662 & 0.00602982139706318 \tabularnewline
0.33 & 0.896820776453751 & 0.005779636108537 \tabularnewline
0.34 & 0.897878376889783 & 0.00546358045096235 \tabularnewline
0.35 & 0.898871961379688 & 0.00510797569685751 \tabularnewline
0.36 & 0.899797650972362 & 0.00473914539514503 \tabularnewline
0.37 & 0.900656137364414 & 0.0043854082452058 \tabularnewline
0.38 & 0.90145237976349 & 0.00407093645163812 \tabularnewline
0.39 & 0.902194898697034 & 0.00381475925470608 \tabularnewline
0.4 & 0.902894825798448 & 0.00363009727505025 \tabularnewline
0.41 & 0.90356485596915 & 0.00352355887626405 \tabularnewline
0.42 & 0.904218216489204 & 0.00349667295699433 \tabularnewline
0.43 & 0.904867731098871 & 0.00354213499432340 \tabularnewline
0.44 & 0.905525026750284 & 0.00365099347831462 \tabularnewline
0.45 & 0.906199911769786 & 0.00380884553926889 \tabularnewline
0.46 & 0.906899945717749 & 0.00399970695644111 \tabularnewline
0.47 & 0.90763021805045 & 0.00420741552716657 \tabularnewline
0.48 & 0.908393347891985 & 0.00441605812926782 \tabularnewline
0.49 & 0.909189705212913 & 0.00461321544108138 \tabularnewline
0.5 & 0.910017832472356 & 0.00478947110861499 \tabularnewline
0.51 & 0.910875017905854 & 0.00493850360310657 \tabularnewline
0.52 & 0.911757943790761 & 0.00505962022517849 \tabularnewline
0.53 & 0.912663313946536 & 0.00515706103720344 \tabularnewline
0.54 & 0.913588362432982 & 0.00523804008017006 \tabularnewline
0.55 & 0.914531164275362 & 0.00530922300039529 \tabularnewline
0.56 & 0.915490707814455 & 0.00537917766796604 \tabularnewline
0.57 & 0.916466739608676 & 0.00545198660828035 \tabularnewline
0.58 & 0.917459444662115 & 0.00552950262097834 \tabularnewline
0.59 & 0.918469063350487 & 0.0056093758718695 \tabularnewline
0.6 & 0.919495560099789 & 0.00568682541555381 \tabularnewline
0.61 & 0.920538441706727 & 0.0057552664719857 \tabularnewline
0.62 & 0.921596777358507 & 0.00581007089031711 \tabularnewline
0.63 & 0.922669408544219 & 0.0058489926574143 \tabularnewline
0.64 & 0.923755272211162 & 0.00587415601558364 \tabularnewline
0.65 & 0.924853714126163 & 0.00589114729426593 \tabularnewline
0.66 & 0.925964657982771 & 0.00590522914923538 \tabularnewline
0.67 & 0.927088527828356 & 0.00592341191499737 \tabularnewline
0.68 & 0.928225893613033 & 0.00594798831495445 \tabularnewline
0.69 & 0.929376906069802 & 0.00597672664600139 \tabularnewline
0.7 & 0.930540681285731 & 0.00600211787542171 \tabularnewline
0.71 & 0.931714856045936 & 0.00600986049732586 \tabularnewline
0.72 & 0.932895534636478 & 0.00598830972194053 \tabularnewline
0.73 & 0.934077771218973 & 0.00592854190323630 \tabularnewline
0.74 & 0.935256584549152 & 0.00582653817970447 \tabularnewline
0.75 & 0.936428313555398 & 0.00569187977007769 \tabularnewline
0.76 & 0.93759194509941 & 0.00554199894928008 \tabularnewline
0.77 & 0.938749943050538 & 0.00540185977066744 \tabularnewline
0.78 & 0.939908138723445 & 0.00529894468879437 \tabularnewline
0.79 & 0.941074436554934 & 0.0052493869932717 \tabularnewline
0.8 & 0.94225642628093 & 0.005254190633072 \tabularnewline
0.81 & 0.943458395180141 & 0.00528982134362045 \tabularnewline
0.82 & 0.944678573129078 & 0.00531574182167226 \tabularnewline
0.83 & 0.945907576593485 & 0.00528498425450677 \tabularnewline
0.84 & 0.947128842589178 & 0.00515628213624535 \tabularnewline
0.85 & 0.948321353678663 & 0.00490825735486185 \tabularnewline
0.86 & 0.949464270136115 & 0.00454742578475616 \tabularnewline
0.87 & 0.950542430157107 & 0.00410683086387754 \tabularnewline
0.88 & 0.95155130557099 & 0.00364294084324224 \tabularnewline
0.89 & 0.95250009093577 & 0.00322148386242909 \tabularnewline
0.9 & 0.953412233851816 & 0.00290372466155716 \tabularnewline
0.91 & 0.954323990875682 & 0.00272882928583523 \tabularnewline
0.92 & 0.955284017528477 & 0.00270325466664839 \tabularnewline
0.93 & 0.956361703821633 & 0.00280818807495455 \tabularnewline
0.94 & 0.957679197649881 & 0.00304288988406606 \tabularnewline
0.95 & 0.959484202262776 & 0.00354047994861499 \tabularnewline
0.96 & 0.962248021208784 & 0.00478827658492409 \tabularnewline
0.97 & 0.966654274026693 & 0.0076582122819843 \tabularnewline
0.98 & 0.973158427943765 & 0.0127445690291316 \tabularnewline
0.99 & 0.98089787806386 & 0.0192785820009680 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19605&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]0.819140300084542[/C][C]0.0128685182256728[/C][/ROW]
[ROW][C]0.02[/C][C]0.826202972918947[/C][C]0.0143578324906194[/C][/ROW]
[ROW][C]0.03[/C][C]0.834168345424959[/C][C]0.0152020242265592[/C][/ROW]
[ROW][C]0.04[/C][C]0.841711463038872[/C][C]0.0144731859602914[/C][/ROW]
[ROW][C]0.05[/C][C]0.848164232130657[/C][C]0.0124742807004074[/C][/ROW]
[ROW][C]0.06[/C][C]0.853328372009732[/C][C]0.0100388258702779[/C][/ROW]
[ROW][C]0.07[/C][C]0.857303232409843[/C][C]0.00792043928200381[/C][/ROW]
[ROW][C]0.08[/C][C]0.860346404787775[/C][C]0.00653503766300704[/C][/ROW]
[ROW][C]0.09[/C][C]0.862756413503045[/C][C]0.00591880309807053[/C][/ROW]
[ROW][C]0.1[/C][C]0.864791754842774[/C][C]0.00583505401589885[/C][/ROW]
[ROW][C]0.11[/C][C]0.866634730215185[/C][C]0.00599452159338666[/C][/ROW]
[ROW][C]0.12[/C][C]0.868391233773847[/C][C]0.00620228722852227[/C][/ROW]
[ROW][C]0.13[/C][C]0.870109404449876[/C][C]0.00636550188161885[/C][/ROW]
[ROW][C]0.14[/C][C]0.871802252135377[/C][C]0.00645924674721827[/C][/ROW]
[ROW][C]0.15[/C][C]0.873465874602186[/C][C]0.00648853553253249[/C][/ROW]
[ROW][C]0.16[/C][C]0.875090814230286[/C][C]0.00646490380410006[/C][/ROW]
[ROW][C]0.17[/C][C]0.876667631594642[/C][C]0.00639490463371642[/C][/ROW]
[ROW][C]0.18[/C][C]0.878189004882445[/C][C]0.00628616735431201[/C][/ROW]
[ROW][C]0.19[/C][C]0.879650413354713[/C][C]0.00614278463856254[/C][/ROW]
[ROW][C]0.2[/C][C]0.881050579678119[/C][C]0.00598049159112417[/C][/ROW]
[ROW][C]0.21[/C][C]0.88239195879285[/C][C]0.00582347238445736[/C][/ROW]
[ROW][C]0.22[/C][C]0.883681011490592[/C][C]0.00569897110007296[/C][/ROW]
[ROW][C]0.23[/C][C]0.88492786819246[/C][C]0.00563322481322911[/C][/ROW]
[ROW][C]0.24[/C][C]0.886145169410442[/C][C]0.00564179306394353[/C][/ROW]
[ROW][C]0.25[/C][C]0.887346181992543[/C][C]0.00572210823618843[/C][/ROW]
[ROW][C]0.26[/C][C]0.888542564534348[/C][C]0.00585692888067491[/C][/ROW]
[ROW][C]0.27[/C][C]0.889742287468175[/C][C]0.00601416519661428[/C][/ROW]
[ROW][C]0.28[/C][C]0.890948178228576[/C][C]0.00615661495651315[/C][/ROW]
[ROW][C]0.29[/C][C]0.892157395953635[/C][C]0.00625047336829136[/C][/ROW]
[ROW][C]0.3[/C][C]0.893361911379694[/C][C]0.00626864750411975[/C][/ROW]
[ROW][C]0.31[/C][C]0.894549846727995[/C][C]0.00619625943199971[/C][/ROW]
[ROW][C]0.32[/C][C]0.895707371119662[/C][C]0.00602982139706318[/C][/ROW]
[ROW][C]0.33[/C][C]0.896820776453751[/C][C]0.005779636108537[/C][/ROW]
[ROW][C]0.34[/C][C]0.897878376889783[/C][C]0.00546358045096235[/C][/ROW]
[ROW][C]0.35[/C][C]0.898871961379688[/C][C]0.00510797569685751[/C][/ROW]
[ROW][C]0.36[/C][C]0.899797650972362[/C][C]0.00473914539514503[/C][/ROW]
[ROW][C]0.37[/C][C]0.900656137364414[/C][C]0.0043854082452058[/C][/ROW]
[ROW][C]0.38[/C][C]0.90145237976349[/C][C]0.00407093645163812[/C][/ROW]
[ROW][C]0.39[/C][C]0.902194898697034[/C][C]0.00381475925470608[/C][/ROW]
[ROW][C]0.4[/C][C]0.902894825798448[/C][C]0.00363009727505025[/C][/ROW]
[ROW][C]0.41[/C][C]0.90356485596915[/C][C]0.00352355887626405[/C][/ROW]
[ROW][C]0.42[/C][C]0.904218216489204[/C][C]0.00349667295699433[/C][/ROW]
[ROW][C]0.43[/C][C]0.904867731098871[/C][C]0.00354213499432340[/C][/ROW]
[ROW][C]0.44[/C][C]0.905525026750284[/C][C]0.00365099347831462[/C][/ROW]
[ROW][C]0.45[/C][C]0.906199911769786[/C][C]0.00380884553926889[/C][/ROW]
[ROW][C]0.46[/C][C]0.906899945717749[/C][C]0.00399970695644111[/C][/ROW]
[ROW][C]0.47[/C][C]0.90763021805045[/C][C]0.00420741552716657[/C][/ROW]
[ROW][C]0.48[/C][C]0.908393347891985[/C][C]0.00441605812926782[/C][/ROW]
[ROW][C]0.49[/C][C]0.909189705212913[/C][C]0.00461321544108138[/C][/ROW]
[ROW][C]0.5[/C][C]0.910017832472356[/C][C]0.00478947110861499[/C][/ROW]
[ROW][C]0.51[/C][C]0.910875017905854[/C][C]0.00493850360310657[/C][/ROW]
[ROW][C]0.52[/C][C]0.911757943790761[/C][C]0.00505962022517849[/C][/ROW]
[ROW][C]0.53[/C][C]0.912663313946536[/C][C]0.00515706103720344[/C][/ROW]
[ROW][C]0.54[/C][C]0.913588362432982[/C][C]0.00523804008017006[/C][/ROW]
[ROW][C]0.55[/C][C]0.914531164275362[/C][C]0.00530922300039529[/C][/ROW]
[ROW][C]0.56[/C][C]0.915490707814455[/C][C]0.00537917766796604[/C][/ROW]
[ROW][C]0.57[/C][C]0.916466739608676[/C][C]0.00545198660828035[/C][/ROW]
[ROW][C]0.58[/C][C]0.917459444662115[/C][C]0.00552950262097834[/C][/ROW]
[ROW][C]0.59[/C][C]0.918469063350487[/C][C]0.0056093758718695[/C][/ROW]
[ROW][C]0.6[/C][C]0.919495560099789[/C][C]0.00568682541555381[/C][/ROW]
[ROW][C]0.61[/C][C]0.920538441706727[/C][C]0.0057552664719857[/C][/ROW]
[ROW][C]0.62[/C][C]0.921596777358507[/C][C]0.00581007089031711[/C][/ROW]
[ROW][C]0.63[/C][C]0.922669408544219[/C][C]0.0058489926574143[/C][/ROW]
[ROW][C]0.64[/C][C]0.923755272211162[/C][C]0.00587415601558364[/C][/ROW]
[ROW][C]0.65[/C][C]0.924853714126163[/C][C]0.00589114729426593[/C][/ROW]
[ROW][C]0.66[/C][C]0.925964657982771[/C][C]0.00590522914923538[/C][/ROW]
[ROW][C]0.67[/C][C]0.927088527828356[/C][C]0.00592341191499737[/C][/ROW]
[ROW][C]0.68[/C][C]0.928225893613033[/C][C]0.00594798831495445[/C][/ROW]
[ROW][C]0.69[/C][C]0.929376906069802[/C][C]0.00597672664600139[/C][/ROW]
[ROW][C]0.7[/C][C]0.930540681285731[/C][C]0.00600211787542171[/C][/ROW]
[ROW][C]0.71[/C][C]0.931714856045936[/C][C]0.00600986049732586[/C][/ROW]
[ROW][C]0.72[/C][C]0.932895534636478[/C][C]0.00598830972194053[/C][/ROW]
[ROW][C]0.73[/C][C]0.934077771218973[/C][C]0.00592854190323630[/C][/ROW]
[ROW][C]0.74[/C][C]0.935256584549152[/C][C]0.00582653817970447[/C][/ROW]
[ROW][C]0.75[/C][C]0.936428313555398[/C][C]0.00569187977007769[/C][/ROW]
[ROW][C]0.76[/C][C]0.93759194509941[/C][C]0.00554199894928008[/C][/ROW]
[ROW][C]0.77[/C][C]0.938749943050538[/C][C]0.00540185977066744[/C][/ROW]
[ROW][C]0.78[/C][C]0.939908138723445[/C][C]0.00529894468879437[/C][/ROW]
[ROW][C]0.79[/C][C]0.941074436554934[/C][C]0.0052493869932717[/C][/ROW]
[ROW][C]0.8[/C][C]0.94225642628093[/C][C]0.005254190633072[/C][/ROW]
[ROW][C]0.81[/C][C]0.943458395180141[/C][C]0.00528982134362045[/C][/ROW]
[ROW][C]0.82[/C][C]0.944678573129078[/C][C]0.00531574182167226[/C][/ROW]
[ROW][C]0.83[/C][C]0.945907576593485[/C][C]0.00528498425450677[/C][/ROW]
[ROW][C]0.84[/C][C]0.947128842589178[/C][C]0.00515628213624535[/C][/ROW]
[ROW][C]0.85[/C][C]0.948321353678663[/C][C]0.00490825735486185[/C][/ROW]
[ROW][C]0.86[/C][C]0.949464270136115[/C][C]0.00454742578475616[/C][/ROW]
[ROW][C]0.87[/C][C]0.950542430157107[/C][C]0.00410683086387754[/C][/ROW]
[ROW][C]0.88[/C][C]0.95155130557099[/C][C]0.00364294084324224[/C][/ROW]
[ROW][C]0.89[/C][C]0.95250009093577[/C][C]0.00322148386242909[/C][/ROW]
[ROW][C]0.9[/C][C]0.953412233851816[/C][C]0.00290372466155716[/C][/ROW]
[ROW][C]0.91[/C][C]0.954323990875682[/C][C]0.00272882928583523[/C][/ROW]
[ROW][C]0.92[/C][C]0.955284017528477[/C][C]0.00270325466664839[/C][/ROW]
[ROW][C]0.93[/C][C]0.956361703821633[/C][C]0.00280818807495455[/C][/ROW]
[ROW][C]0.94[/C][C]0.957679197649881[/C][C]0.00304288988406606[/C][/ROW]
[ROW][C]0.95[/C][C]0.959484202262776[/C][C]0.00354047994861499[/C][/ROW]
[ROW][C]0.96[/C][C]0.962248021208784[/C][C]0.00478827658492409[/C][/ROW]
[ROW][C]0.97[/C][C]0.966654274026693[/C][C]0.0076582122819843[/C][/ROW]
[ROW][C]0.98[/C][C]0.973158427943765[/C][C]0.0127445690291316[/C][/ROW]
[ROW][C]0.99[/C][C]0.98089787806386[/C][C]0.0192785820009680[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19605&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19605&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
0.010.8191403000845420.0128685182256728
0.020.8262029729189470.0143578324906194
0.030.8341683454249590.0152020242265592
0.040.8417114630388720.0144731859602914
0.050.8481642321306570.0124742807004074
0.060.8533283720097320.0100388258702779
0.070.8573032324098430.00792043928200381
0.080.8603464047877750.00653503766300704
0.090.8627564135030450.00591880309807053
0.10.8647917548427740.00583505401589885
0.110.8666347302151850.00599452159338666
0.120.8683912337738470.00620228722852227
0.130.8701094044498760.00636550188161885
0.140.8718022521353770.00645924674721827
0.150.8734658746021860.00648853553253249
0.160.8750908142302860.00646490380410006
0.170.8766676315946420.00639490463371642
0.180.8781890048824450.00628616735431201
0.190.8796504133547130.00614278463856254
0.20.8810505796781190.00598049159112417
0.210.882391958792850.00582347238445736
0.220.8836810114905920.00569897110007296
0.230.884927868192460.00563322481322911
0.240.8861451694104420.00564179306394353
0.250.8873461819925430.00572210823618843
0.260.8885425645343480.00585692888067491
0.270.8897422874681750.00601416519661428
0.280.8909481782285760.00615661495651315
0.290.8921573959536350.00625047336829136
0.30.8933619113796940.00626864750411975
0.310.8945498467279950.00619625943199971
0.320.8957073711196620.00602982139706318
0.330.8968207764537510.005779636108537
0.340.8978783768897830.00546358045096235
0.350.8988719613796880.00510797569685751
0.360.8997976509723620.00473914539514503
0.370.9006561373644140.0043854082452058
0.380.901452379763490.00407093645163812
0.390.9021948986970340.00381475925470608
0.40.9028948257984480.00363009727505025
0.410.903564855969150.00352355887626405
0.420.9042182164892040.00349667295699433
0.430.9048677310988710.00354213499432340
0.440.9055250267502840.00365099347831462
0.450.9061999117697860.00380884553926889
0.460.9068999457177490.00399970695644111
0.470.907630218050450.00420741552716657
0.480.9083933478919850.00441605812926782
0.490.9091897052129130.00461321544108138
0.50.9100178324723560.00478947110861499
0.510.9108750179058540.00493850360310657
0.520.9117579437907610.00505962022517849
0.530.9126633139465360.00515706103720344
0.540.9135883624329820.00523804008017006
0.550.9145311642753620.00530922300039529
0.560.9154907078144550.00537917766796604
0.570.9164667396086760.00545198660828035
0.580.9174594446621150.00552950262097834
0.590.9184690633504870.0056093758718695
0.60.9194955600997890.00568682541555381
0.610.9205384417067270.0057552664719857
0.620.9215967773585070.00581007089031711
0.630.9226694085442190.0058489926574143
0.640.9237552722111620.00587415601558364
0.650.9248537141261630.00589114729426593
0.660.9259646579827710.00590522914923538
0.670.9270885278283560.00592341191499737
0.680.9282258936130330.00594798831495445
0.690.9293769060698020.00597672664600139
0.70.9305406812857310.00600211787542171
0.710.9317148560459360.00600986049732586
0.720.9328955346364780.00598830972194053
0.730.9340777712189730.00592854190323630
0.740.9352565845491520.00582653817970447
0.750.9364283135553980.00569187977007769
0.760.937591945099410.00554199894928008
0.770.9387499430505380.00540185977066744
0.780.9399081387234450.00529894468879437
0.790.9410744365549340.0052493869932717
0.80.942256426280930.005254190633072
0.810.9434583951801410.00528982134362045
0.820.9446785731290780.00531574182167226
0.830.9459075765934850.00528498425450677
0.840.9471288425891780.00515628213624535
0.850.9483213536786630.00490825735486185
0.860.9494642701361150.00454742578475616
0.870.9505424301571070.00410683086387754
0.880.951551305570990.00364294084324224
0.890.952500090935770.00322148386242909
0.90.9534122338518160.00290372466155716
0.910.9543239908756820.00272882928583523
0.920.9552840175284770.00270325466664839
0.930.9563617038216330.00280818807495455
0.940.9576791976498810.00304288988406606
0.950.9594842022627760.00354047994861499
0.960.9622480212087840.00478827658492409
0.970.9666542740266930.0076582122819843
0.980.9731584279437650.0127445690291316
0.990.980897878063860.0192785820009680


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')