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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 computationSun, 02 Mar 2008 14:12:53 -0700
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/Mar/02/t12044924366jgpjytizdmbwhf.htm/, Retrieved Mon, 06 May 2024 21:35:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9763, Retrieved Mon, 06 May 2024 21:35:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172

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] [Harrel-Davis Perc...] [2008-03-02 21:12:53] [9eefa1691b07b95ff73d963c22019b45] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.1591
1.1203
1.0886
1.0701
1.0630
1.0377
1.0370
1.0606
1.0497
1.0706
1.0328
1.0110
1.0131
0.9834
0.9643
0.9449
0.9059
0.9505
0.9386
0.9045
0.8695
0.8525
0.8552
0.8983
0.9376
0.9205
0.9083
0.8925
0.8753
0.8530
0.8615
0.9014
0.9114
0.9050
0.8883
0.8912
0.8832
0.8706
0.8766
0.8860
0.9170
0.9561
0.9935
0.9781
0.9806
0.9812
1.0013
1.0194
1.0622
1.0785
1.0805
1.0862
1.1556
1.1674
1.1365
1.1155
1.1266
1.1714
1.1710
1.2298
1.2638
1.2640
1.2261
1.1989
1.2000
1.2146
1.2266
1.2191
1.2224
1.2507
1.2997
1.3406

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9763&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9763&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9763&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.8530336667528280.00152435821190314
0.020.8543179123009880.00344125930190323
0.030.8563918357671820.00545146037289038
0.040.859100833887640.00697630586299422
0.050.8621833174999210.00781400160238564
0.060.8653793365640820.00808783452321919
0.070.8685056727797040.00807281300570508
0.080.8714751551269160.0080081215038084
0.090.8742744825373730.00801345732900476
0.10.8769280882855130.00809293290827744
0.110.8794687624955180.00820302205764415
0.120.8819225249630750.00830533370724645
0.130.88430545348190.00838425506095121
0.140.886626619368850.00844707539414018
0.150.888892233345590.00850508336754807
0.160.8911086738135940.00857150720360166
0.170.8932841976786490.00865757728655212
0.180.8954300609834620.00877632430388196
0.190.8975616770333460.00895430224913912
0.20.8996998698964840.00922977164916654
0.210.9018717641815380.00965041009618585
0.220.9041106775926850.0102605803641592
0.230.9064545840471390.0110863005260885
0.240.908943148315220.0121277146070076
0.250.9116137904732870.0133545709761423
0.260.914497544446060.0147174435350062
0.270.9176155405649850.0161453332958097
0.280.9209767743804280.0175699609319919
0.290.924577502146090.0189243192270319
0.30.9284022389351980.0201540358017705
0.310.9324260319077490.0212203213224005
0.320.9366175056340870.0221042218100015
0.330.940942146210570.0228012216549135
0.340.945365379125950.0233206603324450
0.350.9498551478847930.0236810927794356
0.360.9543838568312080.023909686993526
0.370.9589296583409620.0240366731414997
0.380.963477124210310.0240963938604522
0.390.9680173529699430.0241227633315932
0.40.9725475550127310.0241481860816385
0.410.9770701539445980.0242001883865753
0.420.9815914626808810.0242989192993461
0.430.9861200365994920.0244508069138170
0.440.9906648585264410.0246515664555957
0.450.9952335498319340.024888259961865
0.460.9998308106244520.0251341746425060
0.471.004457263665530.0253607496670912
0.481.009108818522550.0255383806920570
0.491.013776601709960.0256405015858514
0.51.018447434421530.0256424522937020
0.511.023104795683980.0255301017153724
0.521.027730188858720.025293289681768
0.531.032304826444760.0249377792838184
0.541.03681154875960.0244740559838453
0.551.041236882857790.0239228382641133
0.561.045573121425850.0233253049248469
0.571.049820259215830.0227226391647051
0.581.053987578129000.0221739069696724
0.591.058094638846540.0217389814276507
0.61.062171435429100.0214834561182232
0.611.066257513495940.0214650547388536
0.621.070399947325650.0217260622144138
0.631.074650210001060.0222825110587527
0.641.079060135874570.0231262342319380
0.651.083677339972550.0242106386310785
0.661.088540594482900.0254681616242859
0.671.093675740194340.026805213596561
0.681.099092710366810.0281240825834301
0.691.104784157241680.0293222599464647
0.71.110726000890750.0303110402167979
0.711.116879980310220.0310222882186856
0.721.123197998669390.0314185492923677
0.731.129627745425090.0314911916911337
0.741.136118783658710.0312700833818406
0.751.142628062906810.0308109320447875
0.761.149123726336730.0301922661549316
0.771.155586207625010.0294953416111933
0.781.162006023212620.0287874621329541
0.791.168378369007570.028099094456972
0.81.174695539768360.0274160863607683
0.811.18093910649520.0266712980080133
0.821.18707443556030.0257699499182356
0.831.193050233098170.0246161880000642
0.841.198805154805660.0231519151425172
0.851.204282083204730.0213879333134955
0.861.209448539948230.0194277895664267
0.871.214319122459940.0174731253058443
0.881.218973357411860.0158062564276982
0.891.223561062961370.0147467542986846
0.91.228289241416940.0145323851205839
0.911.233392270036010.015157375355611
0.921.239101681808080.0163203965092541
0.931.245648120475840.0176067079424394
0.941.253330995033960.0188452459512508
0.951.262656555857490.0204423614817696
0.961.274445108632470.0232555469307202
0.971.289623540826900.0275926232151148
0.981.308224864856840.0325854121396601
0.991.327436558032420.0371702101910363

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.853033666752828 & 0.00152435821190314 \tabularnewline
0.02 & 0.854317912300988 & 0.00344125930190323 \tabularnewline
0.03 & 0.856391835767182 & 0.00545146037289038 \tabularnewline
0.04 & 0.85910083388764 & 0.00697630586299422 \tabularnewline
0.05 & 0.862183317499921 & 0.00781400160238564 \tabularnewline
0.06 & 0.865379336564082 & 0.00808783452321919 \tabularnewline
0.07 & 0.868505672779704 & 0.00807281300570508 \tabularnewline
0.08 & 0.871475155126916 & 0.0080081215038084 \tabularnewline
0.09 & 0.874274482537373 & 0.00801345732900476 \tabularnewline
0.1 & 0.876928088285513 & 0.00809293290827744 \tabularnewline
0.11 & 0.879468762495518 & 0.00820302205764415 \tabularnewline
0.12 & 0.881922524963075 & 0.00830533370724645 \tabularnewline
0.13 & 0.8843054534819 & 0.00838425506095121 \tabularnewline
0.14 & 0.88662661936885 & 0.00844707539414018 \tabularnewline
0.15 & 0.88889223334559 & 0.00850508336754807 \tabularnewline
0.16 & 0.891108673813594 & 0.00857150720360166 \tabularnewline
0.17 & 0.893284197678649 & 0.00865757728655212 \tabularnewline
0.18 & 0.895430060983462 & 0.00877632430388196 \tabularnewline
0.19 & 0.897561677033346 & 0.00895430224913912 \tabularnewline
0.2 & 0.899699869896484 & 0.00922977164916654 \tabularnewline
0.21 & 0.901871764181538 & 0.00965041009618585 \tabularnewline
0.22 & 0.904110677592685 & 0.0102605803641592 \tabularnewline
0.23 & 0.906454584047139 & 0.0110863005260885 \tabularnewline
0.24 & 0.90894314831522 & 0.0121277146070076 \tabularnewline
0.25 & 0.911613790473287 & 0.0133545709761423 \tabularnewline
0.26 & 0.91449754444606 & 0.0147174435350062 \tabularnewline
0.27 & 0.917615540564985 & 0.0161453332958097 \tabularnewline
0.28 & 0.920976774380428 & 0.0175699609319919 \tabularnewline
0.29 & 0.92457750214609 & 0.0189243192270319 \tabularnewline
0.3 & 0.928402238935198 & 0.0201540358017705 \tabularnewline
0.31 & 0.932426031907749 & 0.0212203213224005 \tabularnewline
0.32 & 0.936617505634087 & 0.0221042218100015 \tabularnewline
0.33 & 0.94094214621057 & 0.0228012216549135 \tabularnewline
0.34 & 0.94536537912595 & 0.0233206603324450 \tabularnewline
0.35 & 0.949855147884793 & 0.0236810927794356 \tabularnewline
0.36 & 0.954383856831208 & 0.023909686993526 \tabularnewline
0.37 & 0.958929658340962 & 0.0240366731414997 \tabularnewline
0.38 & 0.96347712421031 & 0.0240963938604522 \tabularnewline
0.39 & 0.968017352969943 & 0.0241227633315932 \tabularnewline
0.4 & 0.972547555012731 & 0.0241481860816385 \tabularnewline
0.41 & 0.977070153944598 & 0.0242001883865753 \tabularnewline
0.42 & 0.981591462680881 & 0.0242989192993461 \tabularnewline
0.43 & 0.986120036599492 & 0.0244508069138170 \tabularnewline
0.44 & 0.990664858526441 & 0.0246515664555957 \tabularnewline
0.45 & 0.995233549831934 & 0.024888259961865 \tabularnewline
0.46 & 0.999830810624452 & 0.0251341746425060 \tabularnewline
0.47 & 1.00445726366553 & 0.0253607496670912 \tabularnewline
0.48 & 1.00910881852255 & 0.0255383806920570 \tabularnewline
0.49 & 1.01377660170996 & 0.0256405015858514 \tabularnewline
0.5 & 1.01844743442153 & 0.0256424522937020 \tabularnewline
0.51 & 1.02310479568398 & 0.0255301017153724 \tabularnewline
0.52 & 1.02773018885872 & 0.025293289681768 \tabularnewline
0.53 & 1.03230482644476 & 0.0249377792838184 \tabularnewline
0.54 & 1.0368115487596 & 0.0244740559838453 \tabularnewline
0.55 & 1.04123688285779 & 0.0239228382641133 \tabularnewline
0.56 & 1.04557312142585 & 0.0233253049248469 \tabularnewline
0.57 & 1.04982025921583 & 0.0227226391647051 \tabularnewline
0.58 & 1.05398757812900 & 0.0221739069696724 \tabularnewline
0.59 & 1.05809463884654 & 0.0217389814276507 \tabularnewline
0.6 & 1.06217143542910 & 0.0214834561182232 \tabularnewline
0.61 & 1.06625751349594 & 0.0214650547388536 \tabularnewline
0.62 & 1.07039994732565 & 0.0217260622144138 \tabularnewline
0.63 & 1.07465021000106 & 0.0222825110587527 \tabularnewline
0.64 & 1.07906013587457 & 0.0231262342319380 \tabularnewline
0.65 & 1.08367733997255 & 0.0242106386310785 \tabularnewline
0.66 & 1.08854059448290 & 0.0254681616242859 \tabularnewline
0.67 & 1.09367574019434 & 0.026805213596561 \tabularnewline
0.68 & 1.09909271036681 & 0.0281240825834301 \tabularnewline
0.69 & 1.10478415724168 & 0.0293222599464647 \tabularnewline
0.7 & 1.11072600089075 & 0.0303110402167979 \tabularnewline
0.71 & 1.11687998031022 & 0.0310222882186856 \tabularnewline
0.72 & 1.12319799866939 & 0.0314185492923677 \tabularnewline
0.73 & 1.12962774542509 & 0.0314911916911337 \tabularnewline
0.74 & 1.13611878365871 & 0.0312700833818406 \tabularnewline
0.75 & 1.14262806290681 & 0.0308109320447875 \tabularnewline
0.76 & 1.14912372633673 & 0.0301922661549316 \tabularnewline
0.77 & 1.15558620762501 & 0.0294953416111933 \tabularnewline
0.78 & 1.16200602321262 & 0.0287874621329541 \tabularnewline
0.79 & 1.16837836900757 & 0.028099094456972 \tabularnewline
0.8 & 1.17469553976836 & 0.0274160863607683 \tabularnewline
0.81 & 1.1809391064952 & 0.0266712980080133 \tabularnewline
0.82 & 1.1870744355603 & 0.0257699499182356 \tabularnewline
0.83 & 1.19305023309817 & 0.0246161880000642 \tabularnewline
0.84 & 1.19880515480566 & 0.0231519151425172 \tabularnewline
0.85 & 1.20428208320473 & 0.0213879333134955 \tabularnewline
0.86 & 1.20944853994823 & 0.0194277895664267 \tabularnewline
0.87 & 1.21431912245994 & 0.0174731253058443 \tabularnewline
0.88 & 1.21897335741186 & 0.0158062564276982 \tabularnewline
0.89 & 1.22356106296137 & 0.0147467542986846 \tabularnewline
0.9 & 1.22828924141694 & 0.0145323851205839 \tabularnewline
0.91 & 1.23339227003601 & 0.015157375355611 \tabularnewline
0.92 & 1.23910168180808 & 0.0163203965092541 \tabularnewline
0.93 & 1.24564812047584 & 0.0176067079424394 \tabularnewline
0.94 & 1.25333099503396 & 0.0188452459512508 \tabularnewline
0.95 & 1.26265655585749 & 0.0204423614817696 \tabularnewline
0.96 & 1.27444510863247 & 0.0232555469307202 \tabularnewline
0.97 & 1.28962354082690 & 0.0275926232151148 \tabularnewline
0.98 & 1.30822486485684 & 0.0325854121396601 \tabularnewline
0.99 & 1.32743655803242 & 0.0371702101910363 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9763&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]0.853033666752828[/C][C]0.00152435821190314[/C][/ROW]
[ROW][C]0.02[/C][C]0.854317912300988[/C][C]0.00344125930190323[/C][/ROW]
[ROW][C]0.03[/C][C]0.856391835767182[/C][C]0.00545146037289038[/C][/ROW]
[ROW][C]0.04[/C][C]0.85910083388764[/C][C]0.00697630586299422[/C][/ROW]
[ROW][C]0.05[/C][C]0.862183317499921[/C][C]0.00781400160238564[/C][/ROW]
[ROW][C]0.06[/C][C]0.865379336564082[/C][C]0.00808783452321919[/C][/ROW]
[ROW][C]0.07[/C][C]0.868505672779704[/C][C]0.00807281300570508[/C][/ROW]
[ROW][C]0.08[/C][C]0.871475155126916[/C][C]0.0080081215038084[/C][/ROW]
[ROW][C]0.09[/C][C]0.874274482537373[/C][C]0.00801345732900476[/C][/ROW]
[ROW][C]0.1[/C][C]0.876928088285513[/C][C]0.00809293290827744[/C][/ROW]
[ROW][C]0.11[/C][C]0.879468762495518[/C][C]0.00820302205764415[/C][/ROW]
[ROW][C]0.12[/C][C]0.881922524963075[/C][C]0.00830533370724645[/C][/ROW]
[ROW][C]0.13[/C][C]0.8843054534819[/C][C]0.00838425506095121[/C][/ROW]
[ROW][C]0.14[/C][C]0.88662661936885[/C][C]0.00844707539414018[/C][/ROW]
[ROW][C]0.15[/C][C]0.88889223334559[/C][C]0.00850508336754807[/C][/ROW]
[ROW][C]0.16[/C][C]0.891108673813594[/C][C]0.00857150720360166[/C][/ROW]
[ROW][C]0.17[/C][C]0.893284197678649[/C][C]0.00865757728655212[/C][/ROW]
[ROW][C]0.18[/C][C]0.895430060983462[/C][C]0.00877632430388196[/C][/ROW]
[ROW][C]0.19[/C][C]0.897561677033346[/C][C]0.00895430224913912[/C][/ROW]
[ROW][C]0.2[/C][C]0.899699869896484[/C][C]0.00922977164916654[/C][/ROW]
[ROW][C]0.21[/C][C]0.901871764181538[/C][C]0.00965041009618585[/C][/ROW]
[ROW][C]0.22[/C][C]0.904110677592685[/C][C]0.0102605803641592[/C][/ROW]
[ROW][C]0.23[/C][C]0.906454584047139[/C][C]0.0110863005260885[/C][/ROW]
[ROW][C]0.24[/C][C]0.90894314831522[/C][C]0.0121277146070076[/C][/ROW]
[ROW][C]0.25[/C][C]0.911613790473287[/C][C]0.0133545709761423[/C][/ROW]
[ROW][C]0.26[/C][C]0.91449754444606[/C][C]0.0147174435350062[/C][/ROW]
[ROW][C]0.27[/C][C]0.917615540564985[/C][C]0.0161453332958097[/C][/ROW]
[ROW][C]0.28[/C][C]0.920976774380428[/C][C]0.0175699609319919[/C][/ROW]
[ROW][C]0.29[/C][C]0.92457750214609[/C][C]0.0189243192270319[/C][/ROW]
[ROW][C]0.3[/C][C]0.928402238935198[/C][C]0.0201540358017705[/C][/ROW]
[ROW][C]0.31[/C][C]0.932426031907749[/C][C]0.0212203213224005[/C][/ROW]
[ROW][C]0.32[/C][C]0.936617505634087[/C][C]0.0221042218100015[/C][/ROW]
[ROW][C]0.33[/C][C]0.94094214621057[/C][C]0.0228012216549135[/C][/ROW]
[ROW][C]0.34[/C][C]0.94536537912595[/C][C]0.0233206603324450[/C][/ROW]
[ROW][C]0.35[/C][C]0.949855147884793[/C][C]0.0236810927794356[/C][/ROW]
[ROW][C]0.36[/C][C]0.954383856831208[/C][C]0.023909686993526[/C][/ROW]
[ROW][C]0.37[/C][C]0.958929658340962[/C][C]0.0240366731414997[/C][/ROW]
[ROW][C]0.38[/C][C]0.96347712421031[/C][C]0.0240963938604522[/C][/ROW]
[ROW][C]0.39[/C][C]0.968017352969943[/C][C]0.0241227633315932[/C][/ROW]
[ROW][C]0.4[/C][C]0.972547555012731[/C][C]0.0241481860816385[/C][/ROW]
[ROW][C]0.41[/C][C]0.977070153944598[/C][C]0.0242001883865753[/C][/ROW]
[ROW][C]0.42[/C][C]0.981591462680881[/C][C]0.0242989192993461[/C][/ROW]
[ROW][C]0.43[/C][C]0.986120036599492[/C][C]0.0244508069138170[/C][/ROW]
[ROW][C]0.44[/C][C]0.990664858526441[/C][C]0.0246515664555957[/C][/ROW]
[ROW][C]0.45[/C][C]0.995233549831934[/C][C]0.024888259961865[/C][/ROW]
[ROW][C]0.46[/C][C]0.999830810624452[/C][C]0.0251341746425060[/C][/ROW]
[ROW][C]0.47[/C][C]1.00445726366553[/C][C]0.0253607496670912[/C][/ROW]
[ROW][C]0.48[/C][C]1.00910881852255[/C][C]0.0255383806920570[/C][/ROW]
[ROW][C]0.49[/C][C]1.01377660170996[/C][C]0.0256405015858514[/C][/ROW]
[ROW][C]0.5[/C][C]1.01844743442153[/C][C]0.0256424522937020[/C][/ROW]
[ROW][C]0.51[/C][C]1.02310479568398[/C][C]0.0255301017153724[/C][/ROW]
[ROW][C]0.52[/C][C]1.02773018885872[/C][C]0.025293289681768[/C][/ROW]
[ROW][C]0.53[/C][C]1.03230482644476[/C][C]0.0249377792838184[/C][/ROW]
[ROW][C]0.54[/C][C]1.0368115487596[/C][C]0.0244740559838453[/C][/ROW]
[ROW][C]0.55[/C][C]1.04123688285779[/C][C]0.0239228382641133[/C][/ROW]
[ROW][C]0.56[/C][C]1.04557312142585[/C][C]0.0233253049248469[/C][/ROW]
[ROW][C]0.57[/C][C]1.04982025921583[/C][C]0.0227226391647051[/C][/ROW]
[ROW][C]0.58[/C][C]1.05398757812900[/C][C]0.0221739069696724[/C][/ROW]
[ROW][C]0.59[/C][C]1.05809463884654[/C][C]0.0217389814276507[/C][/ROW]
[ROW][C]0.6[/C][C]1.06217143542910[/C][C]0.0214834561182232[/C][/ROW]
[ROW][C]0.61[/C][C]1.06625751349594[/C][C]0.0214650547388536[/C][/ROW]
[ROW][C]0.62[/C][C]1.07039994732565[/C][C]0.0217260622144138[/C][/ROW]
[ROW][C]0.63[/C][C]1.07465021000106[/C][C]0.0222825110587527[/C][/ROW]
[ROW][C]0.64[/C][C]1.07906013587457[/C][C]0.0231262342319380[/C][/ROW]
[ROW][C]0.65[/C][C]1.08367733997255[/C][C]0.0242106386310785[/C][/ROW]
[ROW][C]0.66[/C][C]1.08854059448290[/C][C]0.0254681616242859[/C][/ROW]
[ROW][C]0.67[/C][C]1.09367574019434[/C][C]0.026805213596561[/C][/ROW]
[ROW][C]0.68[/C][C]1.09909271036681[/C][C]0.0281240825834301[/C][/ROW]
[ROW][C]0.69[/C][C]1.10478415724168[/C][C]0.0293222599464647[/C][/ROW]
[ROW][C]0.7[/C][C]1.11072600089075[/C][C]0.0303110402167979[/C][/ROW]
[ROW][C]0.71[/C][C]1.11687998031022[/C][C]0.0310222882186856[/C][/ROW]
[ROW][C]0.72[/C][C]1.12319799866939[/C][C]0.0314185492923677[/C][/ROW]
[ROW][C]0.73[/C][C]1.12962774542509[/C][C]0.0314911916911337[/C][/ROW]
[ROW][C]0.74[/C][C]1.13611878365871[/C][C]0.0312700833818406[/C][/ROW]
[ROW][C]0.75[/C][C]1.14262806290681[/C][C]0.0308109320447875[/C][/ROW]
[ROW][C]0.76[/C][C]1.14912372633673[/C][C]0.0301922661549316[/C][/ROW]
[ROW][C]0.77[/C][C]1.15558620762501[/C][C]0.0294953416111933[/C][/ROW]
[ROW][C]0.78[/C][C]1.16200602321262[/C][C]0.0287874621329541[/C][/ROW]
[ROW][C]0.79[/C][C]1.16837836900757[/C][C]0.028099094456972[/C][/ROW]
[ROW][C]0.8[/C][C]1.17469553976836[/C][C]0.0274160863607683[/C][/ROW]
[ROW][C]0.81[/C][C]1.1809391064952[/C][C]0.0266712980080133[/C][/ROW]
[ROW][C]0.82[/C][C]1.1870744355603[/C][C]0.0257699499182356[/C][/ROW]
[ROW][C]0.83[/C][C]1.19305023309817[/C][C]0.0246161880000642[/C][/ROW]
[ROW][C]0.84[/C][C]1.19880515480566[/C][C]0.0231519151425172[/C][/ROW]
[ROW][C]0.85[/C][C]1.20428208320473[/C][C]0.0213879333134955[/C][/ROW]
[ROW][C]0.86[/C][C]1.20944853994823[/C][C]0.0194277895664267[/C][/ROW]
[ROW][C]0.87[/C][C]1.21431912245994[/C][C]0.0174731253058443[/C][/ROW]
[ROW][C]0.88[/C][C]1.21897335741186[/C][C]0.0158062564276982[/C][/ROW]
[ROW][C]0.89[/C][C]1.22356106296137[/C][C]0.0147467542986846[/C][/ROW]
[ROW][C]0.9[/C][C]1.22828924141694[/C][C]0.0145323851205839[/C][/ROW]
[ROW][C]0.91[/C][C]1.23339227003601[/C][C]0.015157375355611[/C][/ROW]
[ROW][C]0.92[/C][C]1.23910168180808[/C][C]0.0163203965092541[/C][/ROW]
[ROW][C]0.93[/C][C]1.24564812047584[/C][C]0.0176067079424394[/C][/ROW]
[ROW][C]0.94[/C][C]1.25333099503396[/C][C]0.0188452459512508[/C][/ROW]
[ROW][C]0.95[/C][C]1.26265655585749[/C][C]0.0204423614817696[/C][/ROW]
[ROW][C]0.96[/C][C]1.27444510863247[/C][C]0.0232555469307202[/C][/ROW]
[ROW][C]0.97[/C][C]1.28962354082690[/C][C]0.0275926232151148[/C][/ROW]
[ROW][C]0.98[/C][C]1.30822486485684[/C][C]0.0325854121396601[/C][/ROW]
[ROW][C]0.99[/C][C]1.32743655803242[/C][C]0.0371702101910363[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9763&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9763&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
0.010.8530336667528280.00152435821190314
0.020.8543179123009880.00344125930190323
0.030.8563918357671820.00545146037289038
0.040.859100833887640.00697630586299422
0.050.8621833174999210.00781400160238564
0.060.8653793365640820.00808783452321919
0.070.8685056727797040.00807281300570508
0.080.8714751551269160.0080081215038084
0.090.8742744825373730.00801345732900476
0.10.8769280882855130.00809293290827744
0.110.8794687624955180.00820302205764415
0.120.8819225249630750.00830533370724645
0.130.88430545348190.00838425506095121
0.140.886626619368850.00844707539414018
0.150.888892233345590.00850508336754807
0.160.8911086738135940.00857150720360166
0.170.8932841976786490.00865757728655212
0.180.8954300609834620.00877632430388196
0.190.8975616770333460.00895430224913912
0.20.8996998698964840.00922977164916654
0.210.9018717641815380.00965041009618585
0.220.9041106775926850.0102605803641592
0.230.9064545840471390.0110863005260885
0.240.908943148315220.0121277146070076
0.250.9116137904732870.0133545709761423
0.260.914497544446060.0147174435350062
0.270.9176155405649850.0161453332958097
0.280.9209767743804280.0175699609319919
0.290.924577502146090.0189243192270319
0.30.9284022389351980.0201540358017705
0.310.9324260319077490.0212203213224005
0.320.9366175056340870.0221042218100015
0.330.940942146210570.0228012216549135
0.340.945365379125950.0233206603324450
0.350.9498551478847930.0236810927794356
0.360.9543838568312080.023909686993526
0.370.9589296583409620.0240366731414997
0.380.963477124210310.0240963938604522
0.390.9680173529699430.0241227633315932
0.40.9725475550127310.0241481860816385
0.410.9770701539445980.0242001883865753
0.420.9815914626808810.0242989192993461
0.430.9861200365994920.0244508069138170
0.440.9906648585264410.0246515664555957
0.450.9952335498319340.024888259961865
0.460.9998308106244520.0251341746425060
0.471.004457263665530.0253607496670912
0.481.009108818522550.0255383806920570
0.491.013776601709960.0256405015858514
0.51.018447434421530.0256424522937020
0.511.023104795683980.0255301017153724
0.521.027730188858720.025293289681768
0.531.032304826444760.0249377792838184
0.541.03681154875960.0244740559838453
0.551.041236882857790.0239228382641133
0.561.045573121425850.0233253049248469
0.571.049820259215830.0227226391647051
0.581.053987578129000.0221739069696724
0.591.058094638846540.0217389814276507
0.61.062171435429100.0214834561182232
0.611.066257513495940.0214650547388536
0.621.070399947325650.0217260622144138
0.631.074650210001060.0222825110587527
0.641.079060135874570.0231262342319380
0.651.083677339972550.0242106386310785
0.661.088540594482900.0254681616242859
0.671.093675740194340.026805213596561
0.681.099092710366810.0281240825834301
0.691.104784157241680.0293222599464647
0.71.110726000890750.0303110402167979
0.711.116879980310220.0310222882186856
0.721.123197998669390.0314185492923677
0.731.129627745425090.0314911916911337
0.741.136118783658710.0312700833818406
0.751.142628062906810.0308109320447875
0.761.149123726336730.0301922661549316
0.771.155586207625010.0294953416111933
0.781.162006023212620.0287874621329541
0.791.168378369007570.028099094456972
0.81.174695539768360.0274160863607683
0.811.18093910649520.0266712980080133
0.821.18707443556030.0257699499182356
0.831.193050233098170.0246161880000642
0.841.198805154805660.0231519151425172
0.851.204282083204730.0213879333134955
0.861.209448539948230.0194277895664267
0.871.214319122459940.0174731253058443
0.881.218973357411860.0158062564276982
0.891.223561062961370.0147467542986846
0.91.228289241416940.0145323851205839
0.911.233392270036010.015157375355611
0.921.239101681808080.0163203965092541
0.931.245648120475840.0176067079424394
0.941.253330995033960.0188452459512508
0.951.262656555857490.0204423614817696
0.961.274445108632470.0232555469307202
0.971.289623540826900.0275926232151148
0.981.308224864856840.0325854121396601
0.991.327436558032420.0371702101910363


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.10 ; par2 = 0.90 ; par3 = 0.10 ;
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')