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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 computationFri, 05 Oct 2012 14:46:02 -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/2012/Oct/05/t1349462839c3fr4zchxvddbse.htm/, Retrieved Fri, 03 May 2024 00:23:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=172428, Retrieved Fri, 03 May 2024 00:23:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact49

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] [niet werkende wer...] [2012-10-05 18:46:02] [3e2b14d12dd0cca2f2b67dfbdf2cdaf9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
125326
122716
116615
113719
110737
112093
143565
149946
149147
134339
122683
115614
116566
111272
104609
101802
94542
93051
124129
130374
123946
114971
105531
104919
104782
101281
94545
93248
84031
87486
115867
120327
117008
108811
104519
106758
109337
109078
108293
106534
99197
103493
130676
137448
134704
123725
118277
121225
120528
118240
112514
107304
100001
102082
130455
135574
132540
119920
112454
109415
109843
106365
102304
97968
92462
92286
120092
126656
124144
114045
108120
105698
111203

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=172428&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=172428&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172428&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
0.0185303.63830626453481.01409330955
0.0287239.92677764383419.27480434778
0.0389165.8937740242983.95009848319
0.0490734.04901484712347.00824075875
0.0591908.04930137951850.43468455574
0.0692800.34531096991692.01452000795
0.0793550.1340630171836.19823686228
0.0894264.81570865942132.64998661946
0.0995004.63928659422456.18769286108
0.195788.94993052732726.61974861044
0.1196609.5927619612899.1607968299
0.1297444.18922775372958.23982728773
0.1398266.59713456962913.23579121973
0.1499053.93454651392789.80424484279
0.1599790.30531748292620.5131483701
0.16100467.7451513692435.80737634752
0.17101085.190484812258.63193731276
0.18101646.402650222101.98199425556
0.19102157.6970181151969.13770765814
0.2102626.0743269551857.45493623894
0.21103058.035697631761.75948586718
0.22103459.0859701531677.29695687331
0.23103833.7513227841601.75356963765
0.24104185.8687839111535.1992550265
0.25104518.9259595261479.55773199201
0.26104836.3022154671436.95937341976
0.27105141.3500717851408.8848750251
0.28105437.329112481395.34435628028
0.29105727.2491947381394.85264665109
0.3106013.693179161404.53319020069
0.31106298.6790466891420.86398999343
0.32106583.5982382311440.45221839274
0.33106869.2416321981460.26457747636
0.34107155.9035413321478.08312367881
0.35107443.5403256181492.85422806598
0.36107731.9537345861504.5687105668
0.37108020.9686776621514.30737844454
0.38108310.5793525961523.82554644256
0.39108601.0452864341534.93940520224
0.4108892.9286051311550.10029402617
0.41109187.0742135181570.531713212
0.42109484.5437089811597.60869137452
0.43109786.5199935921631.32693855001
0.44110094.2015223961671.30851826705
0.45110408.7028414291716.56433219852
0.46110730.972644911765.65170867376
0.47111061.7340133581817.18251805699
0.48111401.4459836031869.81210886379
0.49111750.2827763481921.59314269239
0.5112108.1273473541971.40765509313
0.51112474.5786109882017.4360659914
0.52112848.9749141522058.11674587318
0.53113230.4380510442092.37374593529
0.54113617.9408019722119.15098211477
0.55114010.3963626722138.20978444802
0.56114406.761261092149.99215518817
0.57114806.1367436822155.75446680047
0.58115207.8498532422157.37265799803
0.59115611.496619212156.67041711292
0.6116016.936557692155.57443671269
0.61116424.2387076492155.28130745992
0.62116833.5916470822156.20889849635
0.63117245.1994222642157.95123007264
0.64117659.1886766062159.39280724848
0.65118075.547983712158.97650512482
0.66118494.1097836552155.48311278721
0.67118914.5724580762148.27453456363
0.68119336.5505617752137.0926611273
0.69119759.6400413272122.30342807814
0.7120183.4943352942104.47645326596
0.71120607.9236369232084.51855038976
0.72121033.0453471372063.31914829837
0.73121459.5178655932042.60247145036
0.74121888.8724352622025.85622313025
0.75122323.9151249262018.57390280802
0.76122769.1104271442029.12363368292
0.77123230.7991848172067.77470223947
0.78123717.075782582144.26143478716
0.79124237.1818833232264.44228512595
0.8124800.3813653492425.85599268217
0.81125414.4497255712616.54467173537
0.82126084.0918415812815.70187099437
0.83126809.720138972997.89301906985
0.84127587.0126430983138.66725998128
0.85128407.5105017953220.13011498813
0.86129260.2777255453235.25550008047
0.87130134.47981173189.03943082514
0.88131022.7864312793097.61349246408
0.89131925.7635917722986.88308014066
0.9132857.6051204162895.01471112952
0.91133853.0718665622879.77405133385
0.92134973.691535243022.77536176235
0.93136307.9191951533405.12921510848
0.94137956.188552634039.52529207692
0.95139991.0546412864795.23404318425
0.96142391.0846900875361.745187084
0.97144970.628270245290.18850491368
0.98147361.2040707474208.96331139449
0.99149114.5123533092299.79962717735

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 85303.6383062645 & 3481.01409330955 \tabularnewline
0.02 & 87239.9267776438 & 3419.27480434778 \tabularnewline
0.03 & 89165.893774024 & 2983.95009848319 \tabularnewline
0.04 & 90734.0490148471 & 2347.00824075875 \tabularnewline
0.05 & 91908.0493013795 & 1850.43468455574 \tabularnewline
0.06 & 92800.3453109699 & 1692.01452000795 \tabularnewline
0.07 & 93550.134063017 & 1836.19823686228 \tabularnewline
0.08 & 94264.8157086594 & 2132.64998661946 \tabularnewline
0.09 & 95004.6392865942 & 2456.18769286108 \tabularnewline
0.1 & 95788.9499305273 & 2726.61974861044 \tabularnewline
0.11 & 96609.592761961 & 2899.1607968299 \tabularnewline
0.12 & 97444.1892277537 & 2958.23982728773 \tabularnewline
0.13 & 98266.5971345696 & 2913.23579121973 \tabularnewline
0.14 & 99053.9345465139 & 2789.80424484279 \tabularnewline
0.15 & 99790.3053174829 & 2620.5131483701 \tabularnewline
0.16 & 100467.745151369 & 2435.80737634752 \tabularnewline
0.17 & 101085.19048481 & 2258.63193731276 \tabularnewline
0.18 & 101646.40265022 & 2101.98199425556 \tabularnewline
0.19 & 102157.697018115 & 1969.13770765814 \tabularnewline
0.2 & 102626.074326955 & 1857.45493623894 \tabularnewline
0.21 & 103058.03569763 & 1761.75948586718 \tabularnewline
0.22 & 103459.085970153 & 1677.29695687331 \tabularnewline
0.23 & 103833.751322784 & 1601.75356963765 \tabularnewline
0.24 & 104185.868783911 & 1535.1992550265 \tabularnewline
0.25 & 104518.925959526 & 1479.55773199201 \tabularnewline
0.26 & 104836.302215467 & 1436.95937341976 \tabularnewline
0.27 & 105141.350071785 & 1408.8848750251 \tabularnewline
0.28 & 105437.32911248 & 1395.34435628028 \tabularnewline
0.29 & 105727.249194738 & 1394.85264665109 \tabularnewline
0.3 & 106013.69317916 & 1404.53319020069 \tabularnewline
0.31 & 106298.679046689 & 1420.86398999343 \tabularnewline
0.32 & 106583.598238231 & 1440.45221839274 \tabularnewline
0.33 & 106869.241632198 & 1460.26457747636 \tabularnewline
0.34 & 107155.903541332 & 1478.08312367881 \tabularnewline
0.35 & 107443.540325618 & 1492.85422806598 \tabularnewline
0.36 & 107731.953734586 & 1504.5687105668 \tabularnewline
0.37 & 108020.968677662 & 1514.30737844454 \tabularnewline
0.38 & 108310.579352596 & 1523.82554644256 \tabularnewline
0.39 & 108601.045286434 & 1534.93940520224 \tabularnewline
0.4 & 108892.928605131 & 1550.10029402617 \tabularnewline
0.41 & 109187.074213518 & 1570.531713212 \tabularnewline
0.42 & 109484.543708981 & 1597.60869137452 \tabularnewline
0.43 & 109786.519993592 & 1631.32693855001 \tabularnewline
0.44 & 110094.201522396 & 1671.30851826705 \tabularnewline
0.45 & 110408.702841429 & 1716.56433219852 \tabularnewline
0.46 & 110730.97264491 & 1765.65170867376 \tabularnewline
0.47 & 111061.734013358 & 1817.18251805699 \tabularnewline
0.48 & 111401.445983603 & 1869.81210886379 \tabularnewline
0.49 & 111750.282776348 & 1921.59314269239 \tabularnewline
0.5 & 112108.127347354 & 1971.40765509313 \tabularnewline
0.51 & 112474.578610988 & 2017.4360659914 \tabularnewline
0.52 & 112848.974914152 & 2058.11674587318 \tabularnewline
0.53 & 113230.438051044 & 2092.37374593529 \tabularnewline
0.54 & 113617.940801972 & 2119.15098211477 \tabularnewline
0.55 & 114010.396362672 & 2138.20978444802 \tabularnewline
0.56 & 114406.76126109 & 2149.99215518817 \tabularnewline
0.57 & 114806.136743682 & 2155.75446680047 \tabularnewline
0.58 & 115207.849853242 & 2157.37265799803 \tabularnewline
0.59 & 115611.49661921 & 2156.67041711292 \tabularnewline
0.6 & 116016.93655769 & 2155.57443671269 \tabularnewline
0.61 & 116424.238707649 & 2155.28130745992 \tabularnewline
0.62 & 116833.591647082 & 2156.20889849635 \tabularnewline
0.63 & 117245.199422264 & 2157.95123007264 \tabularnewline
0.64 & 117659.188676606 & 2159.39280724848 \tabularnewline
0.65 & 118075.54798371 & 2158.97650512482 \tabularnewline
0.66 & 118494.109783655 & 2155.48311278721 \tabularnewline
0.67 & 118914.572458076 & 2148.27453456363 \tabularnewline
0.68 & 119336.550561775 & 2137.0926611273 \tabularnewline
0.69 & 119759.640041327 & 2122.30342807814 \tabularnewline
0.7 & 120183.494335294 & 2104.47645326596 \tabularnewline
0.71 & 120607.923636923 & 2084.51855038976 \tabularnewline
0.72 & 121033.045347137 & 2063.31914829837 \tabularnewline
0.73 & 121459.517865593 & 2042.60247145036 \tabularnewline
0.74 & 121888.872435262 & 2025.85622313025 \tabularnewline
0.75 & 122323.915124926 & 2018.57390280802 \tabularnewline
0.76 & 122769.110427144 & 2029.12363368292 \tabularnewline
0.77 & 123230.799184817 & 2067.77470223947 \tabularnewline
0.78 & 123717.07578258 & 2144.26143478716 \tabularnewline
0.79 & 124237.181883323 & 2264.44228512595 \tabularnewline
0.8 & 124800.381365349 & 2425.85599268217 \tabularnewline
0.81 & 125414.449725571 & 2616.54467173537 \tabularnewline
0.82 & 126084.091841581 & 2815.70187099437 \tabularnewline
0.83 & 126809.72013897 & 2997.89301906985 \tabularnewline
0.84 & 127587.012643098 & 3138.66725998128 \tabularnewline
0.85 & 128407.510501795 & 3220.13011498813 \tabularnewline
0.86 & 129260.277725545 & 3235.25550008047 \tabularnewline
0.87 & 130134.4798117 & 3189.03943082514 \tabularnewline
0.88 & 131022.786431279 & 3097.61349246408 \tabularnewline
0.89 & 131925.763591772 & 2986.88308014066 \tabularnewline
0.9 & 132857.605120416 & 2895.01471112952 \tabularnewline
0.91 & 133853.071866562 & 2879.77405133385 \tabularnewline
0.92 & 134973.69153524 & 3022.77536176235 \tabularnewline
0.93 & 136307.919195153 & 3405.12921510848 \tabularnewline
0.94 & 137956.18855263 & 4039.52529207692 \tabularnewline
0.95 & 139991.054641286 & 4795.23404318425 \tabularnewline
0.96 & 142391.084690087 & 5361.745187084 \tabularnewline
0.97 & 144970.62827024 & 5290.18850491368 \tabularnewline
0.98 & 147361.204070747 & 4208.96331139449 \tabularnewline
0.99 & 149114.512353309 & 2299.79962717735 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172428&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]85303.6383062645[/C][C]3481.01409330955[/C][/ROW]
[ROW][C]0.02[/C][C]87239.9267776438[/C][C]3419.27480434778[/C][/ROW]
[ROW][C]0.03[/C][C]89165.893774024[/C][C]2983.95009848319[/C][/ROW]
[ROW][C]0.04[/C][C]90734.0490148471[/C][C]2347.00824075875[/C][/ROW]
[ROW][C]0.05[/C][C]91908.0493013795[/C][C]1850.43468455574[/C][/ROW]
[ROW][C]0.06[/C][C]92800.3453109699[/C][C]1692.01452000795[/C][/ROW]
[ROW][C]0.07[/C][C]93550.134063017[/C][C]1836.19823686228[/C][/ROW]
[ROW][C]0.08[/C][C]94264.8157086594[/C][C]2132.64998661946[/C][/ROW]
[ROW][C]0.09[/C][C]95004.6392865942[/C][C]2456.18769286108[/C][/ROW]
[ROW][C]0.1[/C][C]95788.9499305273[/C][C]2726.61974861044[/C][/ROW]
[ROW][C]0.11[/C][C]96609.592761961[/C][C]2899.1607968299[/C][/ROW]
[ROW][C]0.12[/C][C]97444.1892277537[/C][C]2958.23982728773[/C][/ROW]
[ROW][C]0.13[/C][C]98266.5971345696[/C][C]2913.23579121973[/C][/ROW]
[ROW][C]0.14[/C][C]99053.9345465139[/C][C]2789.80424484279[/C][/ROW]
[ROW][C]0.15[/C][C]99790.3053174829[/C][C]2620.5131483701[/C][/ROW]
[ROW][C]0.16[/C][C]100467.745151369[/C][C]2435.80737634752[/C][/ROW]
[ROW][C]0.17[/C][C]101085.19048481[/C][C]2258.63193731276[/C][/ROW]
[ROW][C]0.18[/C][C]101646.40265022[/C][C]2101.98199425556[/C][/ROW]
[ROW][C]0.19[/C][C]102157.697018115[/C][C]1969.13770765814[/C][/ROW]
[ROW][C]0.2[/C][C]102626.074326955[/C][C]1857.45493623894[/C][/ROW]
[ROW][C]0.21[/C][C]103058.03569763[/C][C]1761.75948586718[/C][/ROW]
[ROW][C]0.22[/C][C]103459.085970153[/C][C]1677.29695687331[/C][/ROW]
[ROW][C]0.23[/C][C]103833.751322784[/C][C]1601.75356963765[/C][/ROW]
[ROW][C]0.24[/C][C]104185.868783911[/C][C]1535.1992550265[/C][/ROW]
[ROW][C]0.25[/C][C]104518.925959526[/C][C]1479.55773199201[/C][/ROW]
[ROW][C]0.26[/C][C]104836.302215467[/C][C]1436.95937341976[/C][/ROW]
[ROW][C]0.27[/C][C]105141.350071785[/C][C]1408.8848750251[/C][/ROW]
[ROW][C]0.28[/C][C]105437.32911248[/C][C]1395.34435628028[/C][/ROW]
[ROW][C]0.29[/C][C]105727.249194738[/C][C]1394.85264665109[/C][/ROW]
[ROW][C]0.3[/C][C]106013.69317916[/C][C]1404.53319020069[/C][/ROW]
[ROW][C]0.31[/C][C]106298.679046689[/C][C]1420.86398999343[/C][/ROW]
[ROW][C]0.32[/C][C]106583.598238231[/C][C]1440.45221839274[/C][/ROW]
[ROW][C]0.33[/C][C]106869.241632198[/C][C]1460.26457747636[/C][/ROW]
[ROW][C]0.34[/C][C]107155.903541332[/C][C]1478.08312367881[/C][/ROW]
[ROW][C]0.35[/C][C]107443.540325618[/C][C]1492.85422806598[/C][/ROW]
[ROW][C]0.36[/C][C]107731.953734586[/C][C]1504.5687105668[/C][/ROW]
[ROW][C]0.37[/C][C]108020.968677662[/C][C]1514.30737844454[/C][/ROW]
[ROW][C]0.38[/C][C]108310.579352596[/C][C]1523.82554644256[/C][/ROW]
[ROW][C]0.39[/C][C]108601.045286434[/C][C]1534.93940520224[/C][/ROW]
[ROW][C]0.4[/C][C]108892.928605131[/C][C]1550.10029402617[/C][/ROW]
[ROW][C]0.41[/C][C]109187.074213518[/C][C]1570.531713212[/C][/ROW]
[ROW][C]0.42[/C][C]109484.543708981[/C][C]1597.60869137452[/C][/ROW]
[ROW][C]0.43[/C][C]109786.519993592[/C][C]1631.32693855001[/C][/ROW]
[ROW][C]0.44[/C][C]110094.201522396[/C][C]1671.30851826705[/C][/ROW]
[ROW][C]0.45[/C][C]110408.702841429[/C][C]1716.56433219852[/C][/ROW]
[ROW][C]0.46[/C][C]110730.97264491[/C][C]1765.65170867376[/C][/ROW]
[ROW][C]0.47[/C][C]111061.734013358[/C][C]1817.18251805699[/C][/ROW]
[ROW][C]0.48[/C][C]111401.445983603[/C][C]1869.81210886379[/C][/ROW]
[ROW][C]0.49[/C][C]111750.282776348[/C][C]1921.59314269239[/C][/ROW]
[ROW][C]0.5[/C][C]112108.127347354[/C][C]1971.40765509313[/C][/ROW]
[ROW][C]0.51[/C][C]112474.578610988[/C][C]2017.4360659914[/C][/ROW]
[ROW][C]0.52[/C][C]112848.974914152[/C][C]2058.11674587318[/C][/ROW]
[ROW][C]0.53[/C][C]113230.438051044[/C][C]2092.37374593529[/C][/ROW]
[ROW][C]0.54[/C][C]113617.940801972[/C][C]2119.15098211477[/C][/ROW]
[ROW][C]0.55[/C][C]114010.396362672[/C][C]2138.20978444802[/C][/ROW]
[ROW][C]0.56[/C][C]114406.76126109[/C][C]2149.99215518817[/C][/ROW]
[ROW][C]0.57[/C][C]114806.136743682[/C][C]2155.75446680047[/C][/ROW]
[ROW][C]0.58[/C][C]115207.849853242[/C][C]2157.37265799803[/C][/ROW]
[ROW][C]0.59[/C][C]115611.49661921[/C][C]2156.67041711292[/C][/ROW]
[ROW][C]0.6[/C][C]116016.93655769[/C][C]2155.57443671269[/C][/ROW]
[ROW][C]0.61[/C][C]116424.238707649[/C][C]2155.28130745992[/C][/ROW]
[ROW][C]0.62[/C][C]116833.591647082[/C][C]2156.20889849635[/C][/ROW]
[ROW][C]0.63[/C][C]117245.199422264[/C][C]2157.95123007264[/C][/ROW]
[ROW][C]0.64[/C][C]117659.188676606[/C][C]2159.39280724848[/C][/ROW]
[ROW][C]0.65[/C][C]118075.54798371[/C][C]2158.97650512482[/C][/ROW]
[ROW][C]0.66[/C][C]118494.109783655[/C][C]2155.48311278721[/C][/ROW]
[ROW][C]0.67[/C][C]118914.572458076[/C][C]2148.27453456363[/C][/ROW]
[ROW][C]0.68[/C][C]119336.550561775[/C][C]2137.0926611273[/C][/ROW]
[ROW][C]0.69[/C][C]119759.640041327[/C][C]2122.30342807814[/C][/ROW]
[ROW][C]0.7[/C][C]120183.494335294[/C][C]2104.47645326596[/C][/ROW]
[ROW][C]0.71[/C][C]120607.923636923[/C][C]2084.51855038976[/C][/ROW]
[ROW][C]0.72[/C][C]121033.045347137[/C][C]2063.31914829837[/C][/ROW]
[ROW][C]0.73[/C][C]121459.517865593[/C][C]2042.60247145036[/C][/ROW]
[ROW][C]0.74[/C][C]121888.872435262[/C][C]2025.85622313025[/C][/ROW]
[ROW][C]0.75[/C][C]122323.915124926[/C][C]2018.57390280802[/C][/ROW]
[ROW][C]0.76[/C][C]122769.110427144[/C][C]2029.12363368292[/C][/ROW]
[ROW][C]0.77[/C][C]123230.799184817[/C][C]2067.77470223947[/C][/ROW]
[ROW][C]0.78[/C][C]123717.07578258[/C][C]2144.26143478716[/C][/ROW]
[ROW][C]0.79[/C][C]124237.181883323[/C][C]2264.44228512595[/C][/ROW]
[ROW][C]0.8[/C][C]124800.381365349[/C][C]2425.85599268217[/C][/ROW]
[ROW][C]0.81[/C][C]125414.449725571[/C][C]2616.54467173537[/C][/ROW]
[ROW][C]0.82[/C][C]126084.091841581[/C][C]2815.70187099437[/C][/ROW]
[ROW][C]0.83[/C][C]126809.72013897[/C][C]2997.89301906985[/C][/ROW]
[ROW][C]0.84[/C][C]127587.012643098[/C][C]3138.66725998128[/C][/ROW]
[ROW][C]0.85[/C][C]128407.510501795[/C][C]3220.13011498813[/C][/ROW]
[ROW][C]0.86[/C][C]129260.277725545[/C][C]3235.25550008047[/C][/ROW]
[ROW][C]0.87[/C][C]130134.4798117[/C][C]3189.03943082514[/C][/ROW]
[ROW][C]0.88[/C][C]131022.786431279[/C][C]3097.61349246408[/C][/ROW]
[ROW][C]0.89[/C][C]131925.763591772[/C][C]2986.88308014066[/C][/ROW]
[ROW][C]0.9[/C][C]132857.605120416[/C][C]2895.01471112952[/C][/ROW]
[ROW][C]0.91[/C][C]133853.071866562[/C][C]2879.77405133385[/C][/ROW]
[ROW][C]0.92[/C][C]134973.69153524[/C][C]3022.77536176235[/C][/ROW]
[ROW][C]0.93[/C][C]136307.919195153[/C][C]3405.12921510848[/C][/ROW]
[ROW][C]0.94[/C][C]137956.18855263[/C][C]4039.52529207692[/C][/ROW]
[ROW][C]0.95[/C][C]139991.054641286[/C][C]4795.23404318425[/C][/ROW]
[ROW][C]0.96[/C][C]142391.084690087[/C][C]5361.745187084[/C][/ROW]
[ROW][C]0.97[/C][C]144970.62827024[/C][C]5290.18850491368[/C][/ROW]
[ROW][C]0.98[/C][C]147361.204070747[/C][C]4208.96331139449[/C][/ROW]
[ROW][C]0.99[/C][C]149114.512353309[/C][C]2299.79962717735[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172428&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172428&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
0.0185303.63830626453481.01409330955
0.0287239.92677764383419.27480434778
0.0389165.8937740242983.95009848319
0.0490734.04901484712347.00824075875
0.0591908.04930137951850.43468455574
0.0692800.34531096991692.01452000795
0.0793550.1340630171836.19823686228
0.0894264.81570865942132.64998661946
0.0995004.63928659422456.18769286108
0.195788.94993052732726.61974861044
0.1196609.5927619612899.1607968299
0.1297444.18922775372958.23982728773
0.1398266.59713456962913.23579121973
0.1499053.93454651392789.80424484279
0.1599790.30531748292620.5131483701
0.16100467.7451513692435.80737634752
0.17101085.190484812258.63193731276
0.18101646.402650222101.98199425556
0.19102157.6970181151969.13770765814
0.2102626.0743269551857.45493623894
0.21103058.035697631761.75948586718
0.22103459.0859701531677.29695687331
0.23103833.7513227841601.75356963765
0.24104185.8687839111535.1992550265
0.25104518.9259595261479.55773199201
0.26104836.3022154671436.95937341976
0.27105141.3500717851408.8848750251
0.28105437.329112481395.34435628028
0.29105727.2491947381394.85264665109
0.3106013.693179161404.53319020069
0.31106298.6790466891420.86398999343
0.32106583.5982382311440.45221839274
0.33106869.2416321981460.26457747636
0.34107155.9035413321478.08312367881
0.35107443.5403256181492.85422806598
0.36107731.9537345861504.5687105668
0.37108020.9686776621514.30737844454
0.38108310.5793525961523.82554644256
0.39108601.0452864341534.93940520224
0.4108892.9286051311550.10029402617
0.41109187.0742135181570.531713212
0.42109484.5437089811597.60869137452
0.43109786.5199935921631.32693855001
0.44110094.2015223961671.30851826705
0.45110408.7028414291716.56433219852
0.46110730.972644911765.65170867376
0.47111061.7340133581817.18251805699
0.48111401.4459836031869.81210886379
0.49111750.2827763481921.59314269239
0.5112108.1273473541971.40765509313
0.51112474.5786109882017.4360659914
0.52112848.9749141522058.11674587318
0.53113230.4380510442092.37374593529
0.54113617.9408019722119.15098211477
0.55114010.3963626722138.20978444802
0.56114406.761261092149.99215518817
0.57114806.1367436822155.75446680047
0.58115207.8498532422157.37265799803
0.59115611.496619212156.67041711292
0.6116016.936557692155.57443671269
0.61116424.2387076492155.28130745992
0.62116833.5916470822156.20889849635
0.63117245.1994222642157.95123007264
0.64117659.1886766062159.39280724848
0.65118075.547983712158.97650512482
0.66118494.1097836552155.48311278721
0.67118914.5724580762148.27453456363
0.68119336.5505617752137.0926611273
0.69119759.6400413272122.30342807814
0.7120183.4943352942104.47645326596
0.71120607.9236369232084.51855038976
0.72121033.0453471372063.31914829837
0.73121459.5178655932042.60247145036
0.74121888.8724352622025.85622313025
0.75122323.9151249262018.57390280802
0.76122769.1104271442029.12363368292
0.77123230.7991848172067.77470223947
0.78123717.075782582144.26143478716
0.79124237.1818833232264.44228512595
0.8124800.3813653492425.85599268217
0.81125414.4497255712616.54467173537
0.82126084.0918415812815.70187099437
0.83126809.720138972997.89301906985
0.84127587.0126430983138.66725998128
0.85128407.5105017953220.13011498813
0.86129260.2777255453235.25550008047
0.87130134.47981173189.03943082514
0.88131022.7864312793097.61349246408
0.89131925.7635917722986.88308014066
0.9132857.6051204162895.01471112952
0.91133853.0718665622879.77405133385
0.92134973.691535243022.77536176235
0.93136307.9191951533405.12921510848
0.94137956.188552634039.52529207692
0.95139991.0546412864795.23404318425
0.96142391.0846900875361.745187084
0.97144970.628270245290.18850491368
0.98147361.2040707474208.96331139449
0.99149114.5123533092299.79962717735


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')