FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 23 Feb 2012 10:51:55 -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/2012/Feb/23/t1330012396g4rbanxzdyxsx45.htm/, Retrieved Sun, 05 May 2024 01:13:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163284, Retrieved Sun, 05 May 2024 01:13:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact197

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] [H-D Percentielen ...] [2012-02-23 15:51:55] [b3616d670e39c9c081ac68ec1f5d1a32] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,9
0,9
0,9
0,9
0,9
0,91
0,91
0,91
0,91
0,91
0,92
0,92
0,92
0,92
0,92
0,93
0,93
0,93
0,93
0,93
0,92
0,93
0,93
0,93
0,94
0,95
0,95
0,96
0,97
0,97
0,97
0,98
0,98
0,98
0,98
0,98
0,98
1
1,01
1,01
1,02
1,02
1,02
1,02
1,03
1,03
1,03
1,03
1,03
1,04
1,05
1,05
1,05
1,05
1,06
1,06
1,06
1,06
1,06
1,06

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163284&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163284&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163284&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.9000178839686347.77983143966845e-05
0.020.9000894709101040.000325711941955559
0.030.9002717333174340.000822987115888727
0.040.900628862262590.00157143298112082
0.050.9012109737630750.00247570869441968
0.060.9020350144228310.0033727981182934
0.070.9030773732740160.00409989935861564
0.080.9042813306873750.00455623734941507
0.090.9055750464102280.0047339070313489
0.10.9068916568028690.00470823681172842
0.110.908183710225380.00459776158966349
0.120.9094281565131790.00451406953423088
0.130.9106226818204650.0045184305950711
0.140.9117771541436910.00460743183651423
0.150.912904562522130.00473729178086765
0.160.9140146112498240.00485545908399713
0.170.915111159409780.00492519021068139
0.180.9161929658997990.00493737743694793
0.190.9172562485864870.0049037656223082
0.20.9182974539597660.00485022971215368
0.210.9193151093657960.0048058906392965
0.220.9203103365489880.00478919947845942
0.230.9212862361305060.00480433035792862
0.240.9222467283359520.00484320094884195
0.250.9231955120809850.00488936596781081
0.260.9241356408056640.00492996845748847
0.270.9250699198087740.00496105659811731
0.280.9260020224425820.00499366793690891
0.290.9269379905513240.00505426427755631
0.30.9278876749668790.0051814609844614
0.310.9288656896964040.00542034962515228
0.320.9298915720087850.00581273686848831
0.330.9309890164255120.00638464386534323
0.340.9321842374010090.00714212262619639
0.350.9335036747483260.00806877215781238
0.360.9349713625549270.0091313639775205
0.370.9366063260332020.0102834064296814
0.380.9384203538375060.0114683813944375
0.390.9404164274706120.0126263762780082
0.40.9425879913674380.0136997423407949
0.410.9449191355444040.0146323418595614
0.420.9473856544197090.0153808685152304
0.430.9499568540740630.0159135378670232
0.440.952597914478010.0162137131705123
0.450.9552725763413210.0162823526439749
0.460.9579459125603360.0161351633031519
0.470.9605869563354870.01580358084745
0.480.963170984617240.0153315523960801
0.490.9656812895815160.0147720876302467
0.50.968110307448460.0141856330663842
0.510.9704600115425210.0136354524305446
0.520.9727415167465340.0131818725899667
0.530.9749738891924770.012879174002231
0.540.9771822117685250.0127669980904896
0.550.9793950236726520.0128644756788422
0.560.9816413268038020.0131651301641035
0.570.9839474235644790.0136364958198843
0.580.9863339053474640.0142248853475829
0.590.9888131326743260.0148602860876729
0.60.9913875234799040.0154692259088715
0.610.9940488895947840.015978304476393
0.620.9967789380671990.0163247732378685
0.630.9995509003586490.0164632369963268
0.641.002332094952370.0163668080751817
0.651.00508709804830.0160321011677204
0.661.007781120160460.015476759402041
0.671.010383180284250.0147371091622087
0.681.012868734340910.0138630063135173
0.691.015221533470140.0129113480348695
0.71.017434628648050.0119425489846328
0.711.019510563124020.0110103975835017
0.721.021460870648660.0101647046543442
0.731.023305009561480.00944761796823436
0.741.025068819249060.00888878216182827
0.751.026782519924950.00851172009946366
0.761.028478238460040.00832549991911653
0.771.030187078952470.00832094580115424
0.781.031935888411840.00846802054656978
0.791.033744072076150.00871227550073033
0.81.035621015055260.00898581215902759
0.811.037564756904290.00921278372754036
0.821.039562436686890.0093269454967563
0.831.04159263085670.00928332567587785
0.841.043629109249880.00906766113725122
0.851.045644931052390.00869740635202467
0.861.047615478231590.00821476620945286
0.871.049519243166810.00766847730658787
0.881.051336038867050.00709221928989606
0.891.053043566841120.00648726019965931
0.91.054614423871150.0058235822878789
0.911.056015979214090.00506420432458631
0.921.057214644625970.00419527936332035
0.931.058184015255810.00325020219450449
0.941.058914039967630.00230660923488754
0.951.059417086431540.00146432787510834
0.961.059727522884040.000805800175565379
0.971.059894211811480.000366411051295595
0.981.059968752613130.000126219160376725
0.991.059994404571952.60770662246965e-05

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.900017883968634 & 7.77983143966845e-05 \tabularnewline
0.02 & 0.900089470910104 & 0.000325711941955559 \tabularnewline
0.03 & 0.900271733317434 & 0.000822987115888727 \tabularnewline
0.04 & 0.90062886226259 & 0.00157143298112082 \tabularnewline
0.05 & 0.901210973763075 & 0.00247570869441968 \tabularnewline
0.06 & 0.902035014422831 & 0.0033727981182934 \tabularnewline
0.07 & 0.903077373274016 & 0.00409989935861564 \tabularnewline
0.08 & 0.904281330687375 & 0.00455623734941507 \tabularnewline
0.09 & 0.905575046410228 & 0.0047339070313489 \tabularnewline
0.1 & 0.906891656802869 & 0.00470823681172842 \tabularnewline
0.11 & 0.90818371022538 & 0.00459776158966349 \tabularnewline
0.12 & 0.909428156513179 & 0.00451406953423088 \tabularnewline
0.13 & 0.910622681820465 & 0.0045184305950711 \tabularnewline
0.14 & 0.911777154143691 & 0.00460743183651423 \tabularnewline
0.15 & 0.91290456252213 & 0.00473729178086765 \tabularnewline
0.16 & 0.914014611249824 & 0.00485545908399713 \tabularnewline
0.17 & 0.91511115940978 & 0.00492519021068139 \tabularnewline
0.18 & 0.916192965899799 & 0.00493737743694793 \tabularnewline
0.19 & 0.917256248586487 & 0.0049037656223082 \tabularnewline
0.2 & 0.918297453959766 & 0.00485022971215368 \tabularnewline
0.21 & 0.919315109365796 & 0.0048058906392965 \tabularnewline
0.22 & 0.920310336548988 & 0.00478919947845942 \tabularnewline
0.23 & 0.921286236130506 & 0.00480433035792862 \tabularnewline
0.24 & 0.922246728335952 & 0.00484320094884195 \tabularnewline
0.25 & 0.923195512080985 & 0.00488936596781081 \tabularnewline
0.26 & 0.924135640805664 & 0.00492996845748847 \tabularnewline
0.27 & 0.925069919808774 & 0.00496105659811731 \tabularnewline
0.28 & 0.926002022442582 & 0.00499366793690891 \tabularnewline
0.29 & 0.926937990551324 & 0.00505426427755631 \tabularnewline
0.3 & 0.927887674966879 & 0.0051814609844614 \tabularnewline
0.31 & 0.928865689696404 & 0.00542034962515228 \tabularnewline
0.32 & 0.929891572008785 & 0.00581273686848831 \tabularnewline
0.33 & 0.930989016425512 & 0.00638464386534323 \tabularnewline
0.34 & 0.932184237401009 & 0.00714212262619639 \tabularnewline
0.35 & 0.933503674748326 & 0.00806877215781238 \tabularnewline
0.36 & 0.934971362554927 & 0.0091313639775205 \tabularnewline
0.37 & 0.936606326033202 & 0.0102834064296814 \tabularnewline
0.38 & 0.938420353837506 & 0.0114683813944375 \tabularnewline
0.39 & 0.940416427470612 & 0.0126263762780082 \tabularnewline
0.4 & 0.942587991367438 & 0.0136997423407949 \tabularnewline
0.41 & 0.944919135544404 & 0.0146323418595614 \tabularnewline
0.42 & 0.947385654419709 & 0.0153808685152304 \tabularnewline
0.43 & 0.949956854074063 & 0.0159135378670232 \tabularnewline
0.44 & 0.95259791447801 & 0.0162137131705123 \tabularnewline
0.45 & 0.955272576341321 & 0.0162823526439749 \tabularnewline
0.46 & 0.957945912560336 & 0.0161351633031519 \tabularnewline
0.47 & 0.960586956335487 & 0.01580358084745 \tabularnewline
0.48 & 0.96317098461724 & 0.0153315523960801 \tabularnewline
0.49 & 0.965681289581516 & 0.0147720876302467 \tabularnewline
0.5 & 0.96811030744846 & 0.0141856330663842 \tabularnewline
0.51 & 0.970460011542521 & 0.0136354524305446 \tabularnewline
0.52 & 0.972741516746534 & 0.0131818725899667 \tabularnewline
0.53 & 0.974973889192477 & 0.012879174002231 \tabularnewline
0.54 & 0.977182211768525 & 0.0127669980904896 \tabularnewline
0.55 & 0.979395023672652 & 0.0128644756788422 \tabularnewline
0.56 & 0.981641326803802 & 0.0131651301641035 \tabularnewline
0.57 & 0.983947423564479 & 0.0136364958198843 \tabularnewline
0.58 & 0.986333905347464 & 0.0142248853475829 \tabularnewline
0.59 & 0.988813132674326 & 0.0148602860876729 \tabularnewline
0.6 & 0.991387523479904 & 0.0154692259088715 \tabularnewline
0.61 & 0.994048889594784 & 0.015978304476393 \tabularnewline
0.62 & 0.996778938067199 & 0.0163247732378685 \tabularnewline
0.63 & 0.999550900358649 & 0.0164632369963268 \tabularnewline
0.64 & 1.00233209495237 & 0.0163668080751817 \tabularnewline
0.65 & 1.0050870980483 & 0.0160321011677204 \tabularnewline
0.66 & 1.00778112016046 & 0.015476759402041 \tabularnewline
0.67 & 1.01038318028425 & 0.0147371091622087 \tabularnewline
0.68 & 1.01286873434091 & 0.0138630063135173 \tabularnewline
0.69 & 1.01522153347014 & 0.0129113480348695 \tabularnewline
0.7 & 1.01743462864805 & 0.0119425489846328 \tabularnewline
0.71 & 1.01951056312402 & 0.0110103975835017 \tabularnewline
0.72 & 1.02146087064866 & 0.0101647046543442 \tabularnewline
0.73 & 1.02330500956148 & 0.00944761796823436 \tabularnewline
0.74 & 1.02506881924906 & 0.00888878216182827 \tabularnewline
0.75 & 1.02678251992495 & 0.00851172009946366 \tabularnewline
0.76 & 1.02847823846004 & 0.00832549991911653 \tabularnewline
0.77 & 1.03018707895247 & 0.00832094580115424 \tabularnewline
0.78 & 1.03193588841184 & 0.00846802054656978 \tabularnewline
0.79 & 1.03374407207615 & 0.00871227550073033 \tabularnewline
0.8 & 1.03562101505526 & 0.00898581215902759 \tabularnewline
0.81 & 1.03756475690429 & 0.00921278372754036 \tabularnewline
0.82 & 1.03956243668689 & 0.0093269454967563 \tabularnewline
0.83 & 1.0415926308567 & 0.00928332567587785 \tabularnewline
0.84 & 1.04362910924988 & 0.00906766113725122 \tabularnewline
0.85 & 1.04564493105239 & 0.00869740635202467 \tabularnewline
0.86 & 1.04761547823159 & 0.00821476620945286 \tabularnewline
0.87 & 1.04951924316681 & 0.00766847730658787 \tabularnewline
0.88 & 1.05133603886705 & 0.00709221928989606 \tabularnewline
0.89 & 1.05304356684112 & 0.00648726019965931 \tabularnewline
0.9 & 1.05461442387115 & 0.0058235822878789 \tabularnewline
0.91 & 1.05601597921409 & 0.00506420432458631 \tabularnewline
0.92 & 1.05721464462597 & 0.00419527936332035 \tabularnewline
0.93 & 1.05818401525581 & 0.00325020219450449 \tabularnewline
0.94 & 1.05891403996763 & 0.00230660923488754 \tabularnewline
0.95 & 1.05941708643154 & 0.00146432787510834 \tabularnewline
0.96 & 1.05972752288404 & 0.000805800175565379 \tabularnewline
0.97 & 1.05989421181148 & 0.000366411051295595 \tabularnewline
0.98 & 1.05996875261313 & 0.000126219160376725 \tabularnewline
0.99 & 1.05999440457195 & 2.60770662246965e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163284&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]0.900017883968634[/C][C]7.77983143966845e-05[/C][/ROW]
[ROW][C]0.02[/C][C]0.900089470910104[/C][C]0.000325711941955559[/C][/ROW]
[ROW][C]0.03[/C][C]0.900271733317434[/C][C]0.000822987115888727[/C][/ROW]
[ROW][C]0.04[/C][C]0.90062886226259[/C][C]0.00157143298112082[/C][/ROW]
[ROW][C]0.05[/C][C]0.901210973763075[/C][C]0.00247570869441968[/C][/ROW]
[ROW][C]0.06[/C][C]0.902035014422831[/C][C]0.0033727981182934[/C][/ROW]
[ROW][C]0.07[/C][C]0.903077373274016[/C][C]0.00409989935861564[/C][/ROW]
[ROW][C]0.08[/C][C]0.904281330687375[/C][C]0.00455623734941507[/C][/ROW]
[ROW][C]0.09[/C][C]0.905575046410228[/C][C]0.0047339070313489[/C][/ROW]
[ROW][C]0.1[/C][C]0.906891656802869[/C][C]0.00470823681172842[/C][/ROW]
[ROW][C]0.11[/C][C]0.90818371022538[/C][C]0.00459776158966349[/C][/ROW]
[ROW][C]0.12[/C][C]0.909428156513179[/C][C]0.00451406953423088[/C][/ROW]
[ROW][C]0.13[/C][C]0.910622681820465[/C][C]0.0045184305950711[/C][/ROW]
[ROW][C]0.14[/C][C]0.911777154143691[/C][C]0.00460743183651423[/C][/ROW]
[ROW][C]0.15[/C][C]0.91290456252213[/C][C]0.00473729178086765[/C][/ROW]
[ROW][C]0.16[/C][C]0.914014611249824[/C][C]0.00485545908399713[/C][/ROW]
[ROW][C]0.17[/C][C]0.91511115940978[/C][C]0.00492519021068139[/C][/ROW]
[ROW][C]0.18[/C][C]0.916192965899799[/C][C]0.00493737743694793[/C][/ROW]
[ROW][C]0.19[/C][C]0.917256248586487[/C][C]0.0049037656223082[/C][/ROW]
[ROW][C]0.2[/C][C]0.918297453959766[/C][C]0.00485022971215368[/C][/ROW]
[ROW][C]0.21[/C][C]0.919315109365796[/C][C]0.0048058906392965[/C][/ROW]
[ROW][C]0.22[/C][C]0.920310336548988[/C][C]0.00478919947845942[/C][/ROW]
[ROW][C]0.23[/C][C]0.921286236130506[/C][C]0.00480433035792862[/C][/ROW]
[ROW][C]0.24[/C][C]0.922246728335952[/C][C]0.00484320094884195[/C][/ROW]
[ROW][C]0.25[/C][C]0.923195512080985[/C][C]0.00488936596781081[/C][/ROW]
[ROW][C]0.26[/C][C]0.924135640805664[/C][C]0.00492996845748847[/C][/ROW]
[ROW][C]0.27[/C][C]0.925069919808774[/C][C]0.00496105659811731[/C][/ROW]
[ROW][C]0.28[/C][C]0.926002022442582[/C][C]0.00499366793690891[/C][/ROW]
[ROW][C]0.29[/C][C]0.926937990551324[/C][C]0.00505426427755631[/C][/ROW]
[ROW][C]0.3[/C][C]0.927887674966879[/C][C]0.0051814609844614[/C][/ROW]
[ROW][C]0.31[/C][C]0.928865689696404[/C][C]0.00542034962515228[/C][/ROW]
[ROW][C]0.32[/C][C]0.929891572008785[/C][C]0.00581273686848831[/C][/ROW]
[ROW][C]0.33[/C][C]0.930989016425512[/C][C]0.00638464386534323[/C][/ROW]
[ROW][C]0.34[/C][C]0.932184237401009[/C][C]0.00714212262619639[/C][/ROW]
[ROW][C]0.35[/C][C]0.933503674748326[/C][C]0.00806877215781238[/C][/ROW]
[ROW][C]0.36[/C][C]0.934971362554927[/C][C]0.0091313639775205[/C][/ROW]
[ROW][C]0.37[/C][C]0.936606326033202[/C][C]0.0102834064296814[/C][/ROW]
[ROW][C]0.38[/C][C]0.938420353837506[/C][C]0.0114683813944375[/C][/ROW]
[ROW][C]0.39[/C][C]0.940416427470612[/C][C]0.0126263762780082[/C][/ROW]
[ROW][C]0.4[/C][C]0.942587991367438[/C][C]0.0136997423407949[/C][/ROW]
[ROW][C]0.41[/C][C]0.944919135544404[/C][C]0.0146323418595614[/C][/ROW]
[ROW][C]0.42[/C][C]0.947385654419709[/C][C]0.0153808685152304[/C][/ROW]
[ROW][C]0.43[/C][C]0.949956854074063[/C][C]0.0159135378670232[/C][/ROW]
[ROW][C]0.44[/C][C]0.95259791447801[/C][C]0.0162137131705123[/C][/ROW]
[ROW][C]0.45[/C][C]0.955272576341321[/C][C]0.0162823526439749[/C][/ROW]
[ROW][C]0.46[/C][C]0.957945912560336[/C][C]0.0161351633031519[/C][/ROW]
[ROW][C]0.47[/C][C]0.960586956335487[/C][C]0.01580358084745[/C][/ROW]
[ROW][C]0.48[/C][C]0.96317098461724[/C][C]0.0153315523960801[/C][/ROW]
[ROW][C]0.49[/C][C]0.965681289581516[/C][C]0.0147720876302467[/C][/ROW]
[ROW][C]0.5[/C][C]0.96811030744846[/C][C]0.0141856330663842[/C][/ROW]
[ROW][C]0.51[/C][C]0.970460011542521[/C][C]0.0136354524305446[/C][/ROW]
[ROW][C]0.52[/C][C]0.972741516746534[/C][C]0.0131818725899667[/C][/ROW]
[ROW][C]0.53[/C][C]0.974973889192477[/C][C]0.012879174002231[/C][/ROW]
[ROW][C]0.54[/C][C]0.977182211768525[/C][C]0.0127669980904896[/C][/ROW]
[ROW][C]0.55[/C][C]0.979395023672652[/C][C]0.0128644756788422[/C][/ROW]
[ROW][C]0.56[/C][C]0.981641326803802[/C][C]0.0131651301641035[/C][/ROW]
[ROW][C]0.57[/C][C]0.983947423564479[/C][C]0.0136364958198843[/C][/ROW]
[ROW][C]0.58[/C][C]0.986333905347464[/C][C]0.0142248853475829[/C][/ROW]
[ROW][C]0.59[/C][C]0.988813132674326[/C][C]0.0148602860876729[/C][/ROW]
[ROW][C]0.6[/C][C]0.991387523479904[/C][C]0.0154692259088715[/C][/ROW]
[ROW][C]0.61[/C][C]0.994048889594784[/C][C]0.015978304476393[/C][/ROW]
[ROW][C]0.62[/C][C]0.996778938067199[/C][C]0.0163247732378685[/C][/ROW]
[ROW][C]0.63[/C][C]0.999550900358649[/C][C]0.0164632369963268[/C][/ROW]
[ROW][C]0.64[/C][C]1.00233209495237[/C][C]0.0163668080751817[/C][/ROW]
[ROW][C]0.65[/C][C]1.0050870980483[/C][C]0.0160321011677204[/C][/ROW]
[ROW][C]0.66[/C][C]1.00778112016046[/C][C]0.015476759402041[/C][/ROW]
[ROW][C]0.67[/C][C]1.01038318028425[/C][C]0.0147371091622087[/C][/ROW]
[ROW][C]0.68[/C][C]1.01286873434091[/C][C]0.0138630063135173[/C][/ROW]
[ROW][C]0.69[/C][C]1.01522153347014[/C][C]0.0129113480348695[/C][/ROW]
[ROW][C]0.7[/C][C]1.01743462864805[/C][C]0.0119425489846328[/C][/ROW]
[ROW][C]0.71[/C][C]1.01951056312402[/C][C]0.0110103975835017[/C][/ROW]
[ROW][C]0.72[/C][C]1.02146087064866[/C][C]0.0101647046543442[/C][/ROW]
[ROW][C]0.73[/C][C]1.02330500956148[/C][C]0.00944761796823436[/C][/ROW]
[ROW][C]0.74[/C][C]1.02506881924906[/C][C]0.00888878216182827[/C][/ROW]
[ROW][C]0.75[/C][C]1.02678251992495[/C][C]0.00851172009946366[/C][/ROW]
[ROW][C]0.76[/C][C]1.02847823846004[/C][C]0.00832549991911653[/C][/ROW]
[ROW][C]0.77[/C][C]1.03018707895247[/C][C]0.00832094580115424[/C][/ROW]
[ROW][C]0.78[/C][C]1.03193588841184[/C][C]0.00846802054656978[/C][/ROW]
[ROW][C]0.79[/C][C]1.03374407207615[/C][C]0.00871227550073033[/C][/ROW]
[ROW][C]0.8[/C][C]1.03562101505526[/C][C]0.00898581215902759[/C][/ROW]
[ROW][C]0.81[/C][C]1.03756475690429[/C][C]0.00921278372754036[/C][/ROW]
[ROW][C]0.82[/C][C]1.03956243668689[/C][C]0.0093269454967563[/C][/ROW]
[ROW][C]0.83[/C][C]1.0415926308567[/C][C]0.00928332567587785[/C][/ROW]
[ROW][C]0.84[/C][C]1.04362910924988[/C][C]0.00906766113725122[/C][/ROW]
[ROW][C]0.85[/C][C]1.04564493105239[/C][C]0.00869740635202467[/C][/ROW]
[ROW][C]0.86[/C][C]1.04761547823159[/C][C]0.00821476620945286[/C][/ROW]
[ROW][C]0.87[/C][C]1.04951924316681[/C][C]0.00766847730658787[/C][/ROW]
[ROW][C]0.88[/C][C]1.05133603886705[/C][C]0.00709221928989606[/C][/ROW]
[ROW][C]0.89[/C][C]1.05304356684112[/C][C]0.00648726019965931[/C][/ROW]
[ROW][C]0.9[/C][C]1.05461442387115[/C][C]0.0058235822878789[/C][/ROW]
[ROW][C]0.91[/C][C]1.05601597921409[/C][C]0.00506420432458631[/C][/ROW]
[ROW][C]0.92[/C][C]1.05721464462597[/C][C]0.00419527936332035[/C][/ROW]
[ROW][C]0.93[/C][C]1.05818401525581[/C][C]0.00325020219450449[/C][/ROW]
[ROW][C]0.94[/C][C]1.05891403996763[/C][C]0.00230660923488754[/C][/ROW]
[ROW][C]0.95[/C][C]1.05941708643154[/C][C]0.00146432787510834[/C][/ROW]
[ROW][C]0.96[/C][C]1.05972752288404[/C][C]0.000805800175565379[/C][/ROW]
[ROW][C]0.97[/C][C]1.05989421181148[/C][C]0.000366411051295595[/C][/ROW]
[ROW][C]0.98[/C][C]1.05996875261313[/C][C]0.000126219160376725[/C][/ROW]
[ROW][C]0.99[/C][C]1.05999440457195[/C][C]2.60770662246965e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163284&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163284&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
0.010.9000178839686347.77983143966845e-05
0.020.9000894709101040.000325711941955559
0.030.9002717333174340.000822987115888727
0.040.900628862262590.00157143298112082
0.050.9012109737630750.00247570869441968
0.060.9020350144228310.0033727981182934
0.070.9030773732740160.00409989935861564
0.080.9042813306873750.00455623734941507
0.090.9055750464102280.0047339070313489
0.10.9068916568028690.00470823681172842
0.110.908183710225380.00459776158966349
0.120.9094281565131790.00451406953423088
0.130.9106226818204650.0045184305950711
0.140.9117771541436910.00460743183651423
0.150.912904562522130.00473729178086765
0.160.9140146112498240.00485545908399713
0.170.915111159409780.00492519021068139
0.180.9161929658997990.00493737743694793
0.190.9172562485864870.0049037656223082
0.20.9182974539597660.00485022971215368
0.210.9193151093657960.0048058906392965
0.220.9203103365489880.00478919947845942
0.230.9212862361305060.00480433035792862
0.240.9222467283359520.00484320094884195
0.250.9231955120809850.00488936596781081
0.260.9241356408056640.00492996845748847
0.270.9250699198087740.00496105659811731
0.280.9260020224425820.00499366793690891
0.290.9269379905513240.00505426427755631
0.30.9278876749668790.0051814609844614
0.310.9288656896964040.00542034962515228
0.320.9298915720087850.00581273686848831
0.330.9309890164255120.00638464386534323
0.340.9321842374010090.00714212262619639
0.350.9335036747483260.00806877215781238
0.360.9349713625549270.0091313639775205
0.370.9366063260332020.0102834064296814
0.380.9384203538375060.0114683813944375
0.390.9404164274706120.0126263762780082
0.40.9425879913674380.0136997423407949
0.410.9449191355444040.0146323418595614
0.420.9473856544197090.0153808685152304
0.430.9499568540740630.0159135378670232
0.440.952597914478010.0162137131705123
0.450.9552725763413210.0162823526439749
0.460.9579459125603360.0161351633031519
0.470.9605869563354870.01580358084745
0.480.963170984617240.0153315523960801
0.490.9656812895815160.0147720876302467
0.50.968110307448460.0141856330663842
0.510.9704600115425210.0136354524305446
0.520.9727415167465340.0131818725899667
0.530.9749738891924770.012879174002231
0.540.9771822117685250.0127669980904896
0.550.9793950236726520.0128644756788422
0.560.9816413268038020.0131651301641035
0.570.9839474235644790.0136364958198843
0.580.9863339053474640.0142248853475829
0.590.9888131326743260.0148602860876729
0.60.9913875234799040.0154692259088715
0.610.9940488895947840.015978304476393
0.620.9967789380671990.0163247732378685
0.630.9995509003586490.0164632369963268
0.641.002332094952370.0163668080751817
0.651.00508709804830.0160321011677204
0.661.007781120160460.015476759402041
0.671.010383180284250.0147371091622087
0.681.012868734340910.0138630063135173
0.691.015221533470140.0129113480348695
0.71.017434628648050.0119425489846328
0.711.019510563124020.0110103975835017
0.721.021460870648660.0101647046543442
0.731.023305009561480.00944761796823436
0.741.025068819249060.00888878216182827
0.751.026782519924950.00851172009946366
0.761.028478238460040.00832549991911653
0.771.030187078952470.00832094580115424
0.781.031935888411840.00846802054656978
0.791.033744072076150.00871227550073033
0.81.035621015055260.00898581215902759
0.811.037564756904290.00921278372754036
0.821.039562436686890.0093269454967563
0.831.04159263085670.00928332567587785
0.841.043629109249880.00906766113725122
0.851.045644931052390.00869740635202467
0.861.047615478231590.00821476620945286
0.871.049519243166810.00766847730658787
0.881.051336038867050.00709221928989606
0.891.053043566841120.00648726019965931
0.91.054614423871150.0058235822878789
0.911.056015979214090.00506420432458631
0.921.057214644625970.00419527936332035
0.931.058184015255810.00325020219450449
0.941.058914039967630.00230660923488754
0.951.059417086431540.00146432787510834
0.961.059727522884040.000805800175565379
0.971.059894211811480.000366411051295595
0.981.059968752613130.000126219160376725
0.991.059994404571952.60770662246965e-05


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')