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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, 19 May 2017 01:12:49 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/May/19/t14951528135rwpynznvkgeixk.htm/, Retrieved Thu, 16 May 2024 04:50:02 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Thu, 16 May 2024 04:50:02 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
90.33
90.62
91.22
91.39
91.72
91.32
91.1
91.05
91.45
91.53
91.63
91.78
92.32
92.8
92.65
93.35
93.63
93.76
93.83
93.37
93.41
93.84
94.66
94.65
94.91
95.81
95.87
95.84
96.31
96.17
96.16
96.48
96.61
97.68
97.83
97.88
98.63
99.25
99.64
100.47
101.12
101.33
100.5
99.93
99.81
99.74
99.72
99.87
100.39
100.09
100.03
101.2
99.96
99.94
100.01
98.69
98.19
98.08
98.46
98.75
99.25
99.68
99.64
101.46
100.99
101.12
100.6
100.24
100.16
101.25
100.74
100.61

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0190.43864994265170.30140051264572
0.0290.60871805815680.313050686630049
0.0390.78606060038360.293926434161211
0.0490.94001473099580.253149147170073
0.0591.06373483993760.215294041720046
0.0691.1625195087490.193848878257474
0.0791.24496520701190.188777427970665
0.0891.31891264795860.196987784430246
0.0991.39049966090190.217398241080217
0.191.46450529715440.25067933625888
0.1191.54484251156210.297251860691522
0.1291.63475062291110.355334412862086
0.1391.73668226228150.421755656992402
0.1491.85205325144470.491478984827817
0.1591.98103302955610.558544455323893
0.1692.1224969768840.617459479637231
0.1792.27419062017710.663678973607135
0.1892.43308869618680.69476164163036
0.1992.59588004247440.710558988398251
0.292.75948076200310.713424606352747
0.2192.92147678713060.707538499011884
0.2293.08041935854380.698222603821766
0.2393.2359336864940.690977701997872
0.2493.38864088370330.690613344167005
0.2593.53992676705720.700350730521376
0.2693.69161290917940.721227105703239
0.2793.84559400983630.751978755522144
0.2894.00350273716020.789813387452477
0.2994.166451545470.830903320586371
0.394.33488380607220.870822895581337
0.3194.508546868050.905635147313506
0.3294.68658004961190.932659773461757
0.3394.8676934220090.950302943163266
0.3495.05040067476930.958282896037882
0.3595.23326297938380.957838977737737
0.3695.41510150088480.951360932166019
0.3795.59514392513860.942006917642422
0.3895.77308378588620.932730533045361
0.3995.94904812093290.926366137354176
0.496.12348597590580.924364474810171
0.4196.29700428827860.926858210367305
0.4296.4701860503280.933036950049246
0.4396.64342684138740.940781934147446
0.4496.81681982370950.947343450463429
0.4596.99010762837410.950317658828324
0.4697.16270491207710.947782738614546
0.4797.33378097641450.938514407200996
0.4897.50238072161160.922300733732738
0.4997.66755646581610.899831402700306
0.597.82848357608040.872533963386124
0.5197.98453879802010.842273021926282
0.5298.1353298724580.810575106771
0.5398.28067610222390.778866177790307
0.5498.42054956778450.748053714476423
0.5598.55499376547830.718214176006115
0.5698.68403945732980.688988732090363
0.5798.80763630302580.659529487481813
0.5898.92561405137270.628766209916481
0.5999.0376799650990.595836995934773
0.699.14345131864960.560229493765141
0.6199.24251483454290.521878200343481
0.6299.33450013123440.481075274446556
0.6399.41915246472440.438992065836275
0.6499.49639142718330.396483560323339
0.6599.56634630534520.355092010620365
0.6699.62936441366610.316042734607817
0.6799.68599449487050.280548869058483
0.6899.73695183795290.249401658057997
0.6999.78307408858360.223116790382796
0.799.82527643946910.202068095579516
0.7199.86451233046250.18608591265425
0.7299.90174191466720.175119648007961
0.7399.93790665219630.1689080974358
0.7499.97390575881850.167193326619256
0.75100.0105697911750.169383236517277
0.76100.0486287214490.174896754074216
0.77100.0886760459760.182812328575992
0.78100.1311356655880.192029702340551
0.79100.1762427480790.201480070479959
0.8100.2240514592080.210063449147702
0.81100.2744793304160.217000339659219
0.82100.32738887580.221981204721037
0.83100.382692315960.22536711468896
0.84100.4404480423020.228059442545061
0.85100.5009041949540.231164434600563
0.86100.5644445139240.235894664906963
0.87100.6314132466190.242125229141561
0.88100.7018422010250.248448210716499
0.89100.7751640810960.251919411871764
0.9100.8500458144010.2491720881064
0.91100.924477706030.237407025234086
0.92100.9961836723220.216158109084218
0.93101.0632879001510.187615791602689
0.94101.1250482627010.156736466211213
0.95101.1824205059810.129253929990136
0.96101.2382071436360.109936283938329
0.97101.2962781180180.101203244652006
0.98101.3586107781910.103565089191996
0.99101.4192042216440.11542858856908

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 90.4386499426517 & 0.30140051264572 \tabularnewline
0.02 & 90.6087180581568 & 0.313050686630049 \tabularnewline
0.03 & 90.7860606003836 & 0.293926434161211 \tabularnewline
0.04 & 90.9400147309958 & 0.253149147170073 \tabularnewline
0.05 & 91.0637348399376 & 0.215294041720046 \tabularnewline
0.06 & 91.162519508749 & 0.193848878257474 \tabularnewline
0.07 & 91.2449652070119 & 0.188777427970665 \tabularnewline
0.08 & 91.3189126479586 & 0.196987784430246 \tabularnewline
0.09 & 91.3904996609019 & 0.217398241080217 \tabularnewline
0.1 & 91.4645052971544 & 0.25067933625888 \tabularnewline
0.11 & 91.5448425115621 & 0.297251860691522 \tabularnewline
0.12 & 91.6347506229111 & 0.355334412862086 \tabularnewline
0.13 & 91.7366822622815 & 0.421755656992402 \tabularnewline
0.14 & 91.8520532514447 & 0.491478984827817 \tabularnewline
0.15 & 91.9810330295561 & 0.558544455323893 \tabularnewline
0.16 & 92.122496976884 & 0.617459479637231 \tabularnewline
0.17 & 92.2741906201771 & 0.663678973607135 \tabularnewline
0.18 & 92.4330886961868 & 0.69476164163036 \tabularnewline
0.19 & 92.5958800424744 & 0.710558988398251 \tabularnewline
0.2 & 92.7594807620031 & 0.713424606352747 \tabularnewline
0.21 & 92.9214767871306 & 0.707538499011884 \tabularnewline
0.22 & 93.0804193585438 & 0.698222603821766 \tabularnewline
0.23 & 93.235933686494 & 0.690977701997872 \tabularnewline
0.24 & 93.3886408837033 & 0.690613344167005 \tabularnewline
0.25 & 93.5399267670572 & 0.700350730521376 \tabularnewline
0.26 & 93.6916129091794 & 0.721227105703239 \tabularnewline
0.27 & 93.8455940098363 & 0.751978755522144 \tabularnewline
0.28 & 94.0035027371602 & 0.789813387452477 \tabularnewline
0.29 & 94.16645154547 & 0.830903320586371 \tabularnewline
0.3 & 94.3348838060722 & 0.870822895581337 \tabularnewline
0.31 & 94.50854686805 & 0.905635147313506 \tabularnewline
0.32 & 94.6865800496119 & 0.932659773461757 \tabularnewline
0.33 & 94.867693422009 & 0.950302943163266 \tabularnewline
0.34 & 95.0504006747693 & 0.958282896037882 \tabularnewline
0.35 & 95.2332629793838 & 0.957838977737737 \tabularnewline
0.36 & 95.4151015008848 & 0.951360932166019 \tabularnewline
0.37 & 95.5951439251386 & 0.942006917642422 \tabularnewline
0.38 & 95.7730837858862 & 0.932730533045361 \tabularnewline
0.39 & 95.9490481209329 & 0.926366137354176 \tabularnewline
0.4 & 96.1234859759058 & 0.924364474810171 \tabularnewline
0.41 & 96.2970042882786 & 0.926858210367305 \tabularnewline
0.42 & 96.470186050328 & 0.933036950049246 \tabularnewline
0.43 & 96.6434268413874 & 0.940781934147446 \tabularnewline
0.44 & 96.8168198237095 & 0.947343450463429 \tabularnewline
0.45 & 96.9901076283741 & 0.950317658828324 \tabularnewline
0.46 & 97.1627049120771 & 0.947782738614546 \tabularnewline
0.47 & 97.3337809764145 & 0.938514407200996 \tabularnewline
0.48 & 97.5023807216116 & 0.922300733732738 \tabularnewline
0.49 & 97.6675564658161 & 0.899831402700306 \tabularnewline
0.5 & 97.8284835760804 & 0.872533963386124 \tabularnewline
0.51 & 97.9845387980201 & 0.842273021926282 \tabularnewline
0.52 & 98.135329872458 & 0.810575106771 \tabularnewline
0.53 & 98.2806761022239 & 0.778866177790307 \tabularnewline
0.54 & 98.4205495677845 & 0.748053714476423 \tabularnewline
0.55 & 98.5549937654783 & 0.718214176006115 \tabularnewline
0.56 & 98.6840394573298 & 0.688988732090363 \tabularnewline
0.57 & 98.8076363030258 & 0.659529487481813 \tabularnewline
0.58 & 98.9256140513727 & 0.628766209916481 \tabularnewline
0.59 & 99.037679965099 & 0.595836995934773 \tabularnewline
0.6 & 99.1434513186496 & 0.560229493765141 \tabularnewline
0.61 & 99.2425148345429 & 0.521878200343481 \tabularnewline
0.62 & 99.3345001312344 & 0.481075274446556 \tabularnewline
0.63 & 99.4191524647244 & 0.438992065836275 \tabularnewline
0.64 & 99.4963914271833 & 0.396483560323339 \tabularnewline
0.65 & 99.5663463053452 & 0.355092010620365 \tabularnewline
0.66 & 99.6293644136661 & 0.316042734607817 \tabularnewline
0.67 & 99.6859944948705 & 0.280548869058483 \tabularnewline
0.68 & 99.7369518379529 & 0.249401658057997 \tabularnewline
0.69 & 99.7830740885836 & 0.223116790382796 \tabularnewline
0.7 & 99.8252764394691 & 0.202068095579516 \tabularnewline
0.71 & 99.8645123304625 & 0.18608591265425 \tabularnewline
0.72 & 99.9017419146672 & 0.175119648007961 \tabularnewline
0.73 & 99.9379066521963 & 0.1689080974358 \tabularnewline
0.74 & 99.9739057588185 & 0.167193326619256 \tabularnewline
0.75 & 100.010569791175 & 0.169383236517277 \tabularnewline
0.76 & 100.048628721449 & 0.174896754074216 \tabularnewline
0.77 & 100.088676045976 & 0.182812328575992 \tabularnewline
0.78 & 100.131135665588 & 0.192029702340551 \tabularnewline
0.79 & 100.176242748079 & 0.201480070479959 \tabularnewline
0.8 & 100.224051459208 & 0.210063449147702 \tabularnewline
0.81 & 100.274479330416 & 0.217000339659219 \tabularnewline
0.82 & 100.3273888758 & 0.221981204721037 \tabularnewline
0.83 & 100.38269231596 & 0.22536711468896 \tabularnewline
0.84 & 100.440448042302 & 0.228059442545061 \tabularnewline
0.85 & 100.500904194954 & 0.231164434600563 \tabularnewline
0.86 & 100.564444513924 & 0.235894664906963 \tabularnewline
0.87 & 100.631413246619 & 0.242125229141561 \tabularnewline
0.88 & 100.701842201025 & 0.248448210716499 \tabularnewline
0.89 & 100.775164081096 & 0.251919411871764 \tabularnewline
0.9 & 100.850045814401 & 0.2491720881064 \tabularnewline
0.91 & 100.92447770603 & 0.237407025234086 \tabularnewline
0.92 & 100.996183672322 & 0.216158109084218 \tabularnewline
0.93 & 101.063287900151 & 0.187615791602689 \tabularnewline
0.94 & 101.125048262701 & 0.156736466211213 \tabularnewline
0.95 & 101.182420505981 & 0.129253929990136 \tabularnewline
0.96 & 101.238207143636 & 0.109936283938329 \tabularnewline
0.97 & 101.296278118018 & 0.101203244652006 \tabularnewline
0.98 & 101.358610778191 & 0.103565089191996 \tabularnewline
0.99 & 101.419204221644 & 0.11542858856908 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]90.4386499426517[/C][C]0.30140051264572[/C][/ROW]
[ROW][C]0.02[/C][C]90.6087180581568[/C][C]0.313050686630049[/C][/ROW]
[ROW][C]0.03[/C][C]90.7860606003836[/C][C]0.293926434161211[/C][/ROW]
[ROW][C]0.04[/C][C]90.9400147309958[/C][C]0.253149147170073[/C][/ROW]
[ROW][C]0.05[/C][C]91.0637348399376[/C][C]0.215294041720046[/C][/ROW]
[ROW][C]0.06[/C][C]91.162519508749[/C][C]0.193848878257474[/C][/ROW]
[ROW][C]0.07[/C][C]91.2449652070119[/C][C]0.188777427970665[/C][/ROW]
[ROW][C]0.08[/C][C]91.3189126479586[/C][C]0.196987784430246[/C][/ROW]
[ROW][C]0.09[/C][C]91.3904996609019[/C][C]0.217398241080217[/C][/ROW]
[ROW][C]0.1[/C][C]91.4645052971544[/C][C]0.25067933625888[/C][/ROW]
[ROW][C]0.11[/C][C]91.5448425115621[/C][C]0.297251860691522[/C][/ROW]
[ROW][C]0.12[/C][C]91.6347506229111[/C][C]0.355334412862086[/C][/ROW]
[ROW][C]0.13[/C][C]91.7366822622815[/C][C]0.421755656992402[/C][/ROW]
[ROW][C]0.14[/C][C]91.8520532514447[/C][C]0.491478984827817[/C][/ROW]
[ROW][C]0.15[/C][C]91.9810330295561[/C][C]0.558544455323893[/C][/ROW]
[ROW][C]0.16[/C][C]92.122496976884[/C][C]0.617459479637231[/C][/ROW]
[ROW][C]0.17[/C][C]92.2741906201771[/C][C]0.663678973607135[/C][/ROW]
[ROW][C]0.18[/C][C]92.4330886961868[/C][C]0.69476164163036[/C][/ROW]
[ROW][C]0.19[/C][C]92.5958800424744[/C][C]0.710558988398251[/C][/ROW]
[ROW][C]0.2[/C][C]92.7594807620031[/C][C]0.713424606352747[/C][/ROW]
[ROW][C]0.21[/C][C]92.9214767871306[/C][C]0.707538499011884[/C][/ROW]
[ROW][C]0.22[/C][C]93.0804193585438[/C][C]0.698222603821766[/C][/ROW]
[ROW][C]0.23[/C][C]93.235933686494[/C][C]0.690977701997872[/C][/ROW]
[ROW][C]0.24[/C][C]93.3886408837033[/C][C]0.690613344167005[/C][/ROW]
[ROW][C]0.25[/C][C]93.5399267670572[/C][C]0.700350730521376[/C][/ROW]
[ROW][C]0.26[/C][C]93.6916129091794[/C][C]0.721227105703239[/C][/ROW]
[ROW][C]0.27[/C][C]93.8455940098363[/C][C]0.751978755522144[/C][/ROW]
[ROW][C]0.28[/C][C]94.0035027371602[/C][C]0.789813387452477[/C][/ROW]
[ROW][C]0.29[/C][C]94.16645154547[/C][C]0.830903320586371[/C][/ROW]
[ROW][C]0.3[/C][C]94.3348838060722[/C][C]0.870822895581337[/C][/ROW]
[ROW][C]0.31[/C][C]94.50854686805[/C][C]0.905635147313506[/C][/ROW]
[ROW][C]0.32[/C][C]94.6865800496119[/C][C]0.932659773461757[/C][/ROW]
[ROW][C]0.33[/C][C]94.867693422009[/C][C]0.950302943163266[/C][/ROW]
[ROW][C]0.34[/C][C]95.0504006747693[/C][C]0.958282896037882[/C][/ROW]
[ROW][C]0.35[/C][C]95.2332629793838[/C][C]0.957838977737737[/C][/ROW]
[ROW][C]0.36[/C][C]95.4151015008848[/C][C]0.951360932166019[/C][/ROW]
[ROW][C]0.37[/C][C]95.5951439251386[/C][C]0.942006917642422[/C][/ROW]
[ROW][C]0.38[/C][C]95.7730837858862[/C][C]0.932730533045361[/C][/ROW]
[ROW][C]0.39[/C][C]95.9490481209329[/C][C]0.926366137354176[/C][/ROW]
[ROW][C]0.4[/C][C]96.1234859759058[/C][C]0.924364474810171[/C][/ROW]
[ROW][C]0.41[/C][C]96.2970042882786[/C][C]0.926858210367305[/C][/ROW]
[ROW][C]0.42[/C][C]96.470186050328[/C][C]0.933036950049246[/C][/ROW]
[ROW][C]0.43[/C][C]96.6434268413874[/C][C]0.940781934147446[/C][/ROW]
[ROW][C]0.44[/C][C]96.8168198237095[/C][C]0.947343450463429[/C][/ROW]
[ROW][C]0.45[/C][C]96.9901076283741[/C][C]0.950317658828324[/C][/ROW]
[ROW][C]0.46[/C][C]97.1627049120771[/C][C]0.947782738614546[/C][/ROW]
[ROW][C]0.47[/C][C]97.3337809764145[/C][C]0.938514407200996[/C][/ROW]
[ROW][C]0.48[/C][C]97.5023807216116[/C][C]0.922300733732738[/C][/ROW]
[ROW][C]0.49[/C][C]97.6675564658161[/C][C]0.899831402700306[/C][/ROW]
[ROW][C]0.5[/C][C]97.8284835760804[/C][C]0.872533963386124[/C][/ROW]
[ROW][C]0.51[/C][C]97.9845387980201[/C][C]0.842273021926282[/C][/ROW]
[ROW][C]0.52[/C][C]98.135329872458[/C][C]0.810575106771[/C][/ROW]
[ROW][C]0.53[/C][C]98.2806761022239[/C][C]0.778866177790307[/C][/ROW]
[ROW][C]0.54[/C][C]98.4205495677845[/C][C]0.748053714476423[/C][/ROW]
[ROW][C]0.55[/C][C]98.5549937654783[/C][C]0.718214176006115[/C][/ROW]
[ROW][C]0.56[/C][C]98.6840394573298[/C][C]0.688988732090363[/C][/ROW]
[ROW][C]0.57[/C][C]98.8076363030258[/C][C]0.659529487481813[/C][/ROW]
[ROW][C]0.58[/C][C]98.9256140513727[/C][C]0.628766209916481[/C][/ROW]
[ROW][C]0.59[/C][C]99.037679965099[/C][C]0.595836995934773[/C][/ROW]
[ROW][C]0.6[/C][C]99.1434513186496[/C][C]0.560229493765141[/C][/ROW]
[ROW][C]0.61[/C][C]99.2425148345429[/C][C]0.521878200343481[/C][/ROW]
[ROW][C]0.62[/C][C]99.3345001312344[/C][C]0.481075274446556[/C][/ROW]
[ROW][C]0.63[/C][C]99.4191524647244[/C][C]0.438992065836275[/C][/ROW]
[ROW][C]0.64[/C][C]99.4963914271833[/C][C]0.396483560323339[/C][/ROW]
[ROW][C]0.65[/C][C]99.5663463053452[/C][C]0.355092010620365[/C][/ROW]
[ROW][C]0.66[/C][C]99.6293644136661[/C][C]0.316042734607817[/C][/ROW]
[ROW][C]0.67[/C][C]99.6859944948705[/C][C]0.280548869058483[/C][/ROW]
[ROW][C]0.68[/C][C]99.7369518379529[/C][C]0.249401658057997[/C][/ROW]
[ROW][C]0.69[/C][C]99.7830740885836[/C][C]0.223116790382796[/C][/ROW]
[ROW][C]0.7[/C][C]99.8252764394691[/C][C]0.202068095579516[/C][/ROW]
[ROW][C]0.71[/C][C]99.8645123304625[/C][C]0.18608591265425[/C][/ROW]
[ROW][C]0.72[/C][C]99.9017419146672[/C][C]0.175119648007961[/C][/ROW]
[ROW][C]0.73[/C][C]99.9379066521963[/C][C]0.1689080974358[/C][/ROW]
[ROW][C]0.74[/C][C]99.9739057588185[/C][C]0.167193326619256[/C][/ROW]
[ROW][C]0.75[/C][C]100.010569791175[/C][C]0.169383236517277[/C][/ROW]
[ROW][C]0.76[/C][C]100.048628721449[/C][C]0.174896754074216[/C][/ROW]
[ROW][C]0.77[/C][C]100.088676045976[/C][C]0.182812328575992[/C][/ROW]
[ROW][C]0.78[/C][C]100.131135665588[/C][C]0.192029702340551[/C][/ROW]
[ROW][C]0.79[/C][C]100.176242748079[/C][C]0.201480070479959[/C][/ROW]
[ROW][C]0.8[/C][C]100.224051459208[/C][C]0.210063449147702[/C][/ROW]
[ROW][C]0.81[/C][C]100.274479330416[/C][C]0.217000339659219[/C][/ROW]
[ROW][C]0.82[/C][C]100.3273888758[/C][C]0.221981204721037[/C][/ROW]
[ROW][C]0.83[/C][C]100.38269231596[/C][C]0.22536711468896[/C][/ROW]
[ROW][C]0.84[/C][C]100.440448042302[/C][C]0.228059442545061[/C][/ROW]
[ROW][C]0.85[/C][C]100.500904194954[/C][C]0.231164434600563[/C][/ROW]
[ROW][C]0.86[/C][C]100.564444513924[/C][C]0.235894664906963[/C][/ROW]
[ROW][C]0.87[/C][C]100.631413246619[/C][C]0.242125229141561[/C][/ROW]
[ROW][C]0.88[/C][C]100.701842201025[/C][C]0.248448210716499[/C][/ROW]
[ROW][C]0.89[/C][C]100.775164081096[/C][C]0.251919411871764[/C][/ROW]
[ROW][C]0.9[/C][C]100.850045814401[/C][C]0.2491720881064[/C][/ROW]
[ROW][C]0.91[/C][C]100.92447770603[/C][C]0.237407025234086[/C][/ROW]
[ROW][C]0.92[/C][C]100.996183672322[/C][C]0.216158109084218[/C][/ROW]
[ROW][C]0.93[/C][C]101.063287900151[/C][C]0.187615791602689[/C][/ROW]
[ROW][C]0.94[/C][C]101.125048262701[/C][C]0.156736466211213[/C][/ROW]
[ROW][C]0.95[/C][C]101.182420505981[/C][C]0.129253929990136[/C][/ROW]
[ROW][C]0.96[/C][C]101.238207143636[/C][C]0.109936283938329[/C][/ROW]
[ROW][C]0.97[/C][C]101.296278118018[/C][C]0.101203244652006[/C][/ROW]
[ROW][C]0.98[/C][C]101.358610778191[/C][C]0.103565089191996[/C][/ROW]
[ROW][C]0.99[/C][C]101.419204221644[/C][C]0.11542858856908[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0190.43864994265170.30140051264572
0.0290.60871805815680.313050686630049
0.0390.78606060038360.293926434161211
0.0490.94001473099580.253149147170073
0.0591.06373483993760.215294041720046
0.0691.1625195087490.193848878257474
0.0791.24496520701190.188777427970665
0.0891.31891264795860.196987784430246
0.0991.39049966090190.217398241080217
0.191.46450529715440.25067933625888
0.1191.54484251156210.297251860691522
0.1291.63475062291110.355334412862086
0.1391.73668226228150.421755656992402
0.1491.85205325144470.491478984827817
0.1591.98103302955610.558544455323893
0.1692.1224969768840.617459479637231
0.1792.27419062017710.663678973607135
0.1892.43308869618680.69476164163036
0.1992.59588004247440.710558988398251
0.292.75948076200310.713424606352747
0.2192.92147678713060.707538499011884
0.2293.08041935854380.698222603821766
0.2393.2359336864940.690977701997872
0.2493.38864088370330.690613344167005
0.2593.53992676705720.700350730521376
0.2693.69161290917940.721227105703239
0.2793.84559400983630.751978755522144
0.2894.00350273716020.789813387452477
0.2994.166451545470.830903320586371
0.394.33488380607220.870822895581337
0.3194.508546868050.905635147313506
0.3294.68658004961190.932659773461757
0.3394.8676934220090.950302943163266
0.3495.05040067476930.958282896037882
0.3595.23326297938380.957838977737737
0.3695.41510150088480.951360932166019
0.3795.59514392513860.942006917642422
0.3895.77308378588620.932730533045361
0.3995.94904812093290.926366137354176
0.496.12348597590580.924364474810171
0.4196.29700428827860.926858210367305
0.4296.4701860503280.933036950049246
0.4396.64342684138740.940781934147446
0.4496.81681982370950.947343450463429
0.4596.99010762837410.950317658828324
0.4697.16270491207710.947782738614546
0.4797.33378097641450.938514407200996
0.4897.50238072161160.922300733732738
0.4997.66755646581610.899831402700306
0.597.82848357608040.872533963386124
0.5197.98453879802010.842273021926282
0.5298.1353298724580.810575106771
0.5398.28067610222390.778866177790307
0.5498.42054956778450.748053714476423
0.5598.55499376547830.718214176006115
0.5698.68403945732980.688988732090363
0.5798.80763630302580.659529487481813
0.5898.92561405137270.628766209916481
0.5999.0376799650990.595836995934773
0.699.14345131864960.560229493765141
0.6199.24251483454290.521878200343481
0.6299.33450013123440.481075274446556
0.6399.41915246472440.438992065836275
0.6499.49639142718330.396483560323339
0.6599.56634630534520.355092010620365
0.6699.62936441366610.316042734607817
0.6799.68599449487050.280548869058483
0.6899.73695183795290.249401658057997
0.6999.78307408858360.223116790382796
0.799.82527643946910.202068095579516
0.7199.86451233046250.18608591265425
0.7299.90174191466720.175119648007961
0.7399.93790665219630.1689080974358
0.7499.97390575881850.167193326619256
0.75100.0105697911750.169383236517277
0.76100.0486287214490.174896754074216
0.77100.0886760459760.182812328575992
0.78100.1311356655880.192029702340551
0.79100.1762427480790.201480070479959
0.8100.2240514592080.210063449147702
0.81100.2744793304160.217000339659219
0.82100.32738887580.221981204721037
0.83100.382692315960.22536711468896
0.84100.4404480423020.228059442545061
0.85100.5009041949540.231164434600563
0.86100.5644445139240.235894664906963
0.87100.6314132466190.242125229141561
0.88100.7018422010250.248448210716499
0.89100.7751640810960.251919411871764
0.9100.8500458144010.2491720881064
0.91100.924477706030.237407025234086
0.92100.9961836723220.216158109084218
0.93101.0632879001510.187615791602689
0.94101.1250482627010.156736466211213
0.95101.1824205059810.129253929990136
0.96101.2382071436360.109936283938329
0.97101.2962781180180.101203244652006
0.98101.3586107781910.103565089191996
0.99101.4192042216440.11542858856908


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')