Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 13 Oct 2008 12:37:07 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/13/t12239231868rqtnzlv9hhx4cy.htm/, Retrieved Sat, 18 May 2024 07:14:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=15888, Retrieved Sat, 18 May 2024 07:14:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2008-10-13 18:37:07] [49ed6f8c7db7571d0c4403fef2ba00f0] [Current]
-  M D    [Harrell-Davis Quantiles] [harrel davies per...] [2010-01-27 14:47:56] [74be16979710d4c4e7c6647856088456]
Feedback Forum

Post a new message
Dataseries X:
9.733
9.259
9.864
9.215
10.103
9.380
9.896
10.117
9.451
9.700
9.081
9.084
9.743
8.587
9.731
9.563
9.998
9.437
10.038
9.918
9.252
9.737
9.035
9.133
9.487
8.700
9.627
8.947
9.283
8.829
9.947
9.628
9.318
9.605
8.640
9.214
9.567
8.547
9.185
9.470
9.123
9.278
10.170
9.434
9.655
9.429
8.739
9.552
9.687
9.019
9.672
9.206
9.069
9.788
10.312
10.105
9.863
9.656
9.295
9.946
9.701
9.049
10.190
9.706
9.765
9.893
9.994
10.433
10.073
10.112
9.266
9.820
10.097
9.115
10.411
9.678
10.408
10.153
10.368
10.581
10.597
10.680
9.738
9.556




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15888&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15888&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15888&T=0

As an alternative you can also use a 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' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.018.567451400942710.0468519048745635
0.028.603361058186040.0637651527473967
0.038.647552309174750.083658606415322
0.048.696636046785250.103417919493006
0.058.749094857789240.120403564134354
0.068.80316033468620.130662030394445
0.078.856327454538580.131460015945611
0.088.905882573130770.123108982553624
0.098.94969984980360.108606049885784
0.18.986770015866340.0920275760425183
0.119.017254749884450.076902598804461
0.129.04216841906380.065456810418728
0.139.062922189585070.0584222524568684
0.149.080927922096790.0553210232695636
0.159.097351731251920.0550143430208434
0.169.11301635737680.0562919770328453
0.179.128408635807940.0581307527184578
0.189.143743886455930.0597705059778981
0.199.159051640772760.0608547874565151
0.29.174261216759810.0612417359355128
0.219.18927529815260.0610768075773803
0.229.204025118147140.0606498817131116
0.239.21850419116090.0603484883081902
0.249.232780292259650.0605912936171475
0.259.24698798845930.0616624938157446
0.269.261306280952690.063746655580862
0.279.275927498641280.0667942288021118
0.289.29102426809620.0705994669127065
0.299.306721060841020.07479378331649
0.39.323075467026250.078957185014017
0.319.340072095304680.082743226643617
0.329.357629213632650.0858209885107788
0.339.375615518799720.0880161229306426
0.349.393872436570780.0893031838834502
0.359.412236636407220.0897420624527104
0.369.430558143544990.0894912771938858
0.379.448711240361980.0887159862949066
0.389.466597622789710.0875596739685748
0.399.48414328521560.0861111567040731
0.49.501291804465380.0843915151030121
0.419.517996890800850.0824531938556768
0.429.534216443823480.0802504972951623
0.439.549909293809420.0777818525759982
0.449.565034758199290.0750489164462275
0.459.579554404684340.0720711636421459
0.469.59343509380790.0688711820253766
0.479.606652409783670.0655301765732015
0.489.619193825143240.0621148739433524
0.499.631061232195840.0586988615830693
0.59.642272718493940.0553790657999811
0.519.652863634380370.0522520587603006
0.529.662887103903930.0494046239901441
0.539.67241417276480.0469414481243821
0.549.681533758214630.0449338530846424
0.559.690352445899330.0434892062159793
0.569.698993963608580.0427152277822116
0.579.707597891576270.0426513106761125
0.589.71631693704130.0434064101175405
0.599.725312036164740.0449920176228498
0.69.734744766857680.0474008868736387
0.619.744767108614790.0505540589096608
0.629.755509398060940.0543125822215412
0.639.767068199084940.058405765936022
0.649.779496442023050.0625793587530462
0.659.79279829505340.0665422792286716
0.669.806930631966470.0700556276895899
0.679.821811676573070.0729373651342358
0.689.837335692761830.0750974924758908
0.699.853390891614630.0765629311001947
0.79.869876544586840.0774665095848916
0.719.886715034271750.0779961914976293
0.729.903855433010540.0783059493556639
0.739.921267089487080.0785557717383385
0.749.938924283251470.0787161541886013
0.759.956785753823660.078719662319625
0.769.974775210580470.0783335716518496
0.779.992770163796120.0773216217132544
0.7810.01060605913540.0754361313022675
0.7910.02810044376560.0725888906221096
0.810.04509782224540.068889210958074
0.8110.06153054626350.0647193058967497
0.8210.07748550762290.060777028423869
0.8310.09326163618460.057999831416153
0.8410.10940000643280.057439465001489
0.8510.12666721081280.0600149312705645
0.8610.14597466347030.0660988810156288
0.8710.16822486731460.0752231901759058
0.8810.19409617803270.0860061282164706
0.8910.22381512266470.096330997757204
0.910.25701459233330.103722497834092
0.9110.29280901414940.106183826850374
0.9210.33017771485630.103274749951446
0.9310.36857658805510.0970556577666076
0.9410.40841926408370.0918571058274895
0.9510.45091361584850.0911525885096822
0.9610.49712068430470.09234704373689
0.9710.54699669017070.0877256543325648
0.9810.59900502546500.0761729602486767
0.9910.64796949974300.0727176649279756

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 8.56745140094271 & 0.0468519048745635 \tabularnewline
0.02 & 8.60336105818604 & 0.0637651527473967 \tabularnewline
0.03 & 8.64755230917475 & 0.083658606415322 \tabularnewline
0.04 & 8.69663604678525 & 0.103417919493006 \tabularnewline
0.05 & 8.74909485778924 & 0.120403564134354 \tabularnewline
0.06 & 8.8031603346862 & 0.130662030394445 \tabularnewline
0.07 & 8.85632745453858 & 0.131460015945611 \tabularnewline
0.08 & 8.90588257313077 & 0.123108982553624 \tabularnewline
0.09 & 8.9496998498036 & 0.108606049885784 \tabularnewline
0.1 & 8.98677001586634 & 0.0920275760425183 \tabularnewline
0.11 & 9.01725474988445 & 0.076902598804461 \tabularnewline
0.12 & 9.0421684190638 & 0.065456810418728 \tabularnewline
0.13 & 9.06292218958507 & 0.0584222524568684 \tabularnewline
0.14 & 9.08092792209679 & 0.0553210232695636 \tabularnewline
0.15 & 9.09735173125192 & 0.0550143430208434 \tabularnewline
0.16 & 9.1130163573768 & 0.0562919770328453 \tabularnewline
0.17 & 9.12840863580794 & 0.0581307527184578 \tabularnewline
0.18 & 9.14374388645593 & 0.0597705059778981 \tabularnewline
0.19 & 9.15905164077276 & 0.0608547874565151 \tabularnewline
0.2 & 9.17426121675981 & 0.0612417359355128 \tabularnewline
0.21 & 9.1892752981526 & 0.0610768075773803 \tabularnewline
0.22 & 9.20402511814714 & 0.0606498817131116 \tabularnewline
0.23 & 9.2185041911609 & 0.0603484883081902 \tabularnewline
0.24 & 9.23278029225965 & 0.0605912936171475 \tabularnewline
0.25 & 9.2469879884593 & 0.0616624938157446 \tabularnewline
0.26 & 9.26130628095269 & 0.063746655580862 \tabularnewline
0.27 & 9.27592749864128 & 0.0667942288021118 \tabularnewline
0.28 & 9.2910242680962 & 0.0705994669127065 \tabularnewline
0.29 & 9.30672106084102 & 0.07479378331649 \tabularnewline
0.3 & 9.32307546702625 & 0.078957185014017 \tabularnewline
0.31 & 9.34007209530468 & 0.082743226643617 \tabularnewline
0.32 & 9.35762921363265 & 0.0858209885107788 \tabularnewline
0.33 & 9.37561551879972 & 0.0880161229306426 \tabularnewline
0.34 & 9.39387243657078 & 0.0893031838834502 \tabularnewline
0.35 & 9.41223663640722 & 0.0897420624527104 \tabularnewline
0.36 & 9.43055814354499 & 0.0894912771938858 \tabularnewline
0.37 & 9.44871124036198 & 0.0887159862949066 \tabularnewline
0.38 & 9.46659762278971 & 0.0875596739685748 \tabularnewline
0.39 & 9.4841432852156 & 0.0861111567040731 \tabularnewline
0.4 & 9.50129180446538 & 0.0843915151030121 \tabularnewline
0.41 & 9.51799689080085 & 0.0824531938556768 \tabularnewline
0.42 & 9.53421644382348 & 0.0802504972951623 \tabularnewline
0.43 & 9.54990929380942 & 0.0777818525759982 \tabularnewline
0.44 & 9.56503475819929 & 0.0750489164462275 \tabularnewline
0.45 & 9.57955440468434 & 0.0720711636421459 \tabularnewline
0.46 & 9.5934350938079 & 0.0688711820253766 \tabularnewline
0.47 & 9.60665240978367 & 0.0655301765732015 \tabularnewline
0.48 & 9.61919382514324 & 0.0621148739433524 \tabularnewline
0.49 & 9.63106123219584 & 0.0586988615830693 \tabularnewline
0.5 & 9.64227271849394 & 0.0553790657999811 \tabularnewline
0.51 & 9.65286363438037 & 0.0522520587603006 \tabularnewline
0.52 & 9.66288710390393 & 0.0494046239901441 \tabularnewline
0.53 & 9.6724141727648 & 0.0469414481243821 \tabularnewline
0.54 & 9.68153375821463 & 0.0449338530846424 \tabularnewline
0.55 & 9.69035244589933 & 0.0434892062159793 \tabularnewline
0.56 & 9.69899396360858 & 0.0427152277822116 \tabularnewline
0.57 & 9.70759789157627 & 0.0426513106761125 \tabularnewline
0.58 & 9.7163169370413 & 0.0434064101175405 \tabularnewline
0.59 & 9.72531203616474 & 0.0449920176228498 \tabularnewline
0.6 & 9.73474476685768 & 0.0474008868736387 \tabularnewline
0.61 & 9.74476710861479 & 0.0505540589096608 \tabularnewline
0.62 & 9.75550939806094 & 0.0543125822215412 \tabularnewline
0.63 & 9.76706819908494 & 0.058405765936022 \tabularnewline
0.64 & 9.77949644202305 & 0.0625793587530462 \tabularnewline
0.65 & 9.7927982950534 & 0.0665422792286716 \tabularnewline
0.66 & 9.80693063196647 & 0.0700556276895899 \tabularnewline
0.67 & 9.82181167657307 & 0.0729373651342358 \tabularnewline
0.68 & 9.83733569276183 & 0.0750974924758908 \tabularnewline
0.69 & 9.85339089161463 & 0.0765629311001947 \tabularnewline
0.7 & 9.86987654458684 & 0.0774665095848916 \tabularnewline
0.71 & 9.88671503427175 & 0.0779961914976293 \tabularnewline
0.72 & 9.90385543301054 & 0.0783059493556639 \tabularnewline
0.73 & 9.92126708948708 & 0.0785557717383385 \tabularnewline
0.74 & 9.93892428325147 & 0.0787161541886013 \tabularnewline
0.75 & 9.95678575382366 & 0.078719662319625 \tabularnewline
0.76 & 9.97477521058047 & 0.0783335716518496 \tabularnewline
0.77 & 9.99277016379612 & 0.0773216217132544 \tabularnewline
0.78 & 10.0106060591354 & 0.0754361313022675 \tabularnewline
0.79 & 10.0281004437656 & 0.0725888906221096 \tabularnewline
0.8 & 10.0450978222454 & 0.068889210958074 \tabularnewline
0.81 & 10.0615305462635 & 0.0647193058967497 \tabularnewline
0.82 & 10.0774855076229 & 0.060777028423869 \tabularnewline
0.83 & 10.0932616361846 & 0.057999831416153 \tabularnewline
0.84 & 10.1094000064328 & 0.057439465001489 \tabularnewline
0.85 & 10.1266672108128 & 0.0600149312705645 \tabularnewline
0.86 & 10.1459746634703 & 0.0660988810156288 \tabularnewline
0.87 & 10.1682248673146 & 0.0752231901759058 \tabularnewline
0.88 & 10.1940961780327 & 0.0860061282164706 \tabularnewline
0.89 & 10.2238151226647 & 0.096330997757204 \tabularnewline
0.9 & 10.2570145923333 & 0.103722497834092 \tabularnewline
0.91 & 10.2928090141494 & 0.106183826850374 \tabularnewline
0.92 & 10.3301777148563 & 0.103274749951446 \tabularnewline
0.93 & 10.3685765880551 & 0.0970556577666076 \tabularnewline
0.94 & 10.4084192640837 & 0.0918571058274895 \tabularnewline
0.95 & 10.4509136158485 & 0.0911525885096822 \tabularnewline
0.96 & 10.4971206843047 & 0.09234704373689 \tabularnewline
0.97 & 10.5469966901707 & 0.0877256543325648 \tabularnewline
0.98 & 10.5990050254650 & 0.0761729602486767 \tabularnewline
0.99 & 10.6479694997430 & 0.0727176649279756 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=15888&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]8.56745140094271[/C][C]0.0468519048745635[/C][/ROW]
[ROW][C]0.02[/C][C]8.60336105818604[/C][C]0.0637651527473967[/C][/ROW]
[ROW][C]0.03[/C][C]8.64755230917475[/C][C]0.083658606415322[/C][/ROW]
[ROW][C]0.04[/C][C]8.69663604678525[/C][C]0.103417919493006[/C][/ROW]
[ROW][C]0.05[/C][C]8.74909485778924[/C][C]0.120403564134354[/C][/ROW]
[ROW][C]0.06[/C][C]8.8031603346862[/C][C]0.130662030394445[/C][/ROW]
[ROW][C]0.07[/C][C]8.85632745453858[/C][C]0.131460015945611[/C][/ROW]
[ROW][C]0.08[/C][C]8.90588257313077[/C][C]0.123108982553624[/C][/ROW]
[ROW][C]0.09[/C][C]8.9496998498036[/C][C]0.108606049885784[/C][/ROW]
[ROW][C]0.1[/C][C]8.98677001586634[/C][C]0.0920275760425183[/C][/ROW]
[ROW][C]0.11[/C][C]9.01725474988445[/C][C]0.076902598804461[/C][/ROW]
[ROW][C]0.12[/C][C]9.0421684190638[/C][C]0.065456810418728[/C][/ROW]
[ROW][C]0.13[/C][C]9.06292218958507[/C][C]0.0584222524568684[/C][/ROW]
[ROW][C]0.14[/C][C]9.08092792209679[/C][C]0.0553210232695636[/C][/ROW]
[ROW][C]0.15[/C][C]9.09735173125192[/C][C]0.0550143430208434[/C][/ROW]
[ROW][C]0.16[/C][C]9.1130163573768[/C][C]0.0562919770328453[/C][/ROW]
[ROW][C]0.17[/C][C]9.12840863580794[/C][C]0.0581307527184578[/C][/ROW]
[ROW][C]0.18[/C][C]9.14374388645593[/C][C]0.0597705059778981[/C][/ROW]
[ROW][C]0.19[/C][C]9.15905164077276[/C][C]0.0608547874565151[/C][/ROW]
[ROW][C]0.2[/C][C]9.17426121675981[/C][C]0.0612417359355128[/C][/ROW]
[ROW][C]0.21[/C][C]9.1892752981526[/C][C]0.0610768075773803[/C][/ROW]
[ROW][C]0.22[/C][C]9.20402511814714[/C][C]0.0606498817131116[/C][/ROW]
[ROW][C]0.23[/C][C]9.2185041911609[/C][C]0.0603484883081902[/C][/ROW]
[ROW][C]0.24[/C][C]9.23278029225965[/C][C]0.0605912936171475[/C][/ROW]
[ROW][C]0.25[/C][C]9.2469879884593[/C][C]0.0616624938157446[/C][/ROW]
[ROW][C]0.26[/C][C]9.26130628095269[/C][C]0.063746655580862[/C][/ROW]
[ROW][C]0.27[/C][C]9.27592749864128[/C][C]0.0667942288021118[/C][/ROW]
[ROW][C]0.28[/C][C]9.2910242680962[/C][C]0.0705994669127065[/C][/ROW]
[ROW][C]0.29[/C][C]9.30672106084102[/C][C]0.07479378331649[/C][/ROW]
[ROW][C]0.3[/C][C]9.32307546702625[/C][C]0.078957185014017[/C][/ROW]
[ROW][C]0.31[/C][C]9.34007209530468[/C][C]0.082743226643617[/C][/ROW]
[ROW][C]0.32[/C][C]9.35762921363265[/C][C]0.0858209885107788[/C][/ROW]
[ROW][C]0.33[/C][C]9.37561551879972[/C][C]0.0880161229306426[/C][/ROW]
[ROW][C]0.34[/C][C]9.39387243657078[/C][C]0.0893031838834502[/C][/ROW]
[ROW][C]0.35[/C][C]9.41223663640722[/C][C]0.0897420624527104[/C][/ROW]
[ROW][C]0.36[/C][C]9.43055814354499[/C][C]0.0894912771938858[/C][/ROW]
[ROW][C]0.37[/C][C]9.44871124036198[/C][C]0.0887159862949066[/C][/ROW]
[ROW][C]0.38[/C][C]9.46659762278971[/C][C]0.0875596739685748[/C][/ROW]
[ROW][C]0.39[/C][C]9.4841432852156[/C][C]0.0861111567040731[/C][/ROW]
[ROW][C]0.4[/C][C]9.50129180446538[/C][C]0.0843915151030121[/C][/ROW]
[ROW][C]0.41[/C][C]9.51799689080085[/C][C]0.0824531938556768[/C][/ROW]
[ROW][C]0.42[/C][C]9.53421644382348[/C][C]0.0802504972951623[/C][/ROW]
[ROW][C]0.43[/C][C]9.54990929380942[/C][C]0.0777818525759982[/C][/ROW]
[ROW][C]0.44[/C][C]9.56503475819929[/C][C]0.0750489164462275[/C][/ROW]
[ROW][C]0.45[/C][C]9.57955440468434[/C][C]0.0720711636421459[/C][/ROW]
[ROW][C]0.46[/C][C]9.5934350938079[/C][C]0.0688711820253766[/C][/ROW]
[ROW][C]0.47[/C][C]9.60665240978367[/C][C]0.0655301765732015[/C][/ROW]
[ROW][C]0.48[/C][C]9.61919382514324[/C][C]0.0621148739433524[/C][/ROW]
[ROW][C]0.49[/C][C]9.63106123219584[/C][C]0.0586988615830693[/C][/ROW]
[ROW][C]0.5[/C][C]9.64227271849394[/C][C]0.0553790657999811[/C][/ROW]
[ROW][C]0.51[/C][C]9.65286363438037[/C][C]0.0522520587603006[/C][/ROW]
[ROW][C]0.52[/C][C]9.66288710390393[/C][C]0.0494046239901441[/C][/ROW]
[ROW][C]0.53[/C][C]9.6724141727648[/C][C]0.0469414481243821[/C][/ROW]
[ROW][C]0.54[/C][C]9.68153375821463[/C][C]0.0449338530846424[/C][/ROW]
[ROW][C]0.55[/C][C]9.69035244589933[/C][C]0.0434892062159793[/C][/ROW]
[ROW][C]0.56[/C][C]9.69899396360858[/C][C]0.0427152277822116[/C][/ROW]
[ROW][C]0.57[/C][C]9.70759789157627[/C][C]0.0426513106761125[/C][/ROW]
[ROW][C]0.58[/C][C]9.7163169370413[/C][C]0.0434064101175405[/C][/ROW]
[ROW][C]0.59[/C][C]9.72531203616474[/C][C]0.0449920176228498[/C][/ROW]
[ROW][C]0.6[/C][C]9.73474476685768[/C][C]0.0474008868736387[/C][/ROW]
[ROW][C]0.61[/C][C]9.74476710861479[/C][C]0.0505540589096608[/C][/ROW]
[ROW][C]0.62[/C][C]9.75550939806094[/C][C]0.0543125822215412[/C][/ROW]
[ROW][C]0.63[/C][C]9.76706819908494[/C][C]0.058405765936022[/C][/ROW]
[ROW][C]0.64[/C][C]9.77949644202305[/C][C]0.0625793587530462[/C][/ROW]
[ROW][C]0.65[/C][C]9.7927982950534[/C][C]0.0665422792286716[/C][/ROW]
[ROW][C]0.66[/C][C]9.80693063196647[/C][C]0.0700556276895899[/C][/ROW]
[ROW][C]0.67[/C][C]9.82181167657307[/C][C]0.0729373651342358[/C][/ROW]
[ROW][C]0.68[/C][C]9.83733569276183[/C][C]0.0750974924758908[/C][/ROW]
[ROW][C]0.69[/C][C]9.85339089161463[/C][C]0.0765629311001947[/C][/ROW]
[ROW][C]0.7[/C][C]9.86987654458684[/C][C]0.0774665095848916[/C][/ROW]
[ROW][C]0.71[/C][C]9.88671503427175[/C][C]0.0779961914976293[/C][/ROW]
[ROW][C]0.72[/C][C]9.90385543301054[/C][C]0.0783059493556639[/C][/ROW]
[ROW][C]0.73[/C][C]9.92126708948708[/C][C]0.0785557717383385[/C][/ROW]
[ROW][C]0.74[/C][C]9.93892428325147[/C][C]0.0787161541886013[/C][/ROW]
[ROW][C]0.75[/C][C]9.95678575382366[/C][C]0.078719662319625[/C][/ROW]
[ROW][C]0.76[/C][C]9.97477521058047[/C][C]0.0783335716518496[/C][/ROW]
[ROW][C]0.77[/C][C]9.99277016379612[/C][C]0.0773216217132544[/C][/ROW]
[ROW][C]0.78[/C][C]10.0106060591354[/C][C]0.0754361313022675[/C][/ROW]
[ROW][C]0.79[/C][C]10.0281004437656[/C][C]0.0725888906221096[/C][/ROW]
[ROW][C]0.8[/C][C]10.0450978222454[/C][C]0.068889210958074[/C][/ROW]
[ROW][C]0.81[/C][C]10.0615305462635[/C][C]0.0647193058967497[/C][/ROW]
[ROW][C]0.82[/C][C]10.0774855076229[/C][C]0.060777028423869[/C][/ROW]
[ROW][C]0.83[/C][C]10.0932616361846[/C][C]0.057999831416153[/C][/ROW]
[ROW][C]0.84[/C][C]10.1094000064328[/C][C]0.057439465001489[/C][/ROW]
[ROW][C]0.85[/C][C]10.1266672108128[/C][C]0.0600149312705645[/C][/ROW]
[ROW][C]0.86[/C][C]10.1459746634703[/C][C]0.0660988810156288[/C][/ROW]
[ROW][C]0.87[/C][C]10.1682248673146[/C][C]0.0752231901759058[/C][/ROW]
[ROW][C]0.88[/C][C]10.1940961780327[/C][C]0.0860061282164706[/C][/ROW]
[ROW][C]0.89[/C][C]10.2238151226647[/C][C]0.096330997757204[/C][/ROW]
[ROW][C]0.9[/C][C]10.2570145923333[/C][C]0.103722497834092[/C][/ROW]
[ROW][C]0.91[/C][C]10.2928090141494[/C][C]0.106183826850374[/C][/ROW]
[ROW][C]0.92[/C][C]10.3301777148563[/C][C]0.103274749951446[/C][/ROW]
[ROW][C]0.93[/C][C]10.3685765880551[/C][C]0.0970556577666076[/C][/ROW]
[ROW][C]0.94[/C][C]10.4084192640837[/C][C]0.0918571058274895[/C][/ROW]
[ROW][C]0.95[/C][C]10.4509136158485[/C][C]0.0911525885096822[/C][/ROW]
[ROW][C]0.96[/C][C]10.4971206843047[/C][C]0.09234704373689[/C][/ROW]
[ROW][C]0.97[/C][C]10.5469966901707[/C][C]0.0877256543325648[/C][/ROW]
[ROW][C]0.98[/C][C]10.5990050254650[/C][C]0.0761729602486767[/C][/ROW]
[ROW][C]0.99[/C][C]10.6479694997430[/C][C]0.0727176649279756[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=15888&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=15888&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.018.567451400942710.0468519048745635
0.028.603361058186040.0637651527473967
0.038.647552309174750.083658606415322
0.048.696636046785250.103417919493006
0.058.749094857789240.120403564134354
0.068.80316033468620.130662030394445
0.078.856327454538580.131460015945611
0.088.905882573130770.123108982553624
0.098.94969984980360.108606049885784
0.18.986770015866340.0920275760425183
0.119.017254749884450.076902598804461
0.129.04216841906380.065456810418728
0.139.062922189585070.0584222524568684
0.149.080927922096790.0553210232695636
0.159.097351731251920.0550143430208434
0.169.11301635737680.0562919770328453
0.179.128408635807940.0581307527184578
0.189.143743886455930.0597705059778981
0.199.159051640772760.0608547874565151
0.29.174261216759810.0612417359355128
0.219.18927529815260.0610768075773803
0.229.204025118147140.0606498817131116
0.239.21850419116090.0603484883081902
0.249.232780292259650.0605912936171475
0.259.24698798845930.0616624938157446
0.269.261306280952690.063746655580862
0.279.275927498641280.0667942288021118
0.289.29102426809620.0705994669127065
0.299.306721060841020.07479378331649
0.39.323075467026250.078957185014017
0.319.340072095304680.082743226643617
0.329.357629213632650.0858209885107788
0.339.375615518799720.0880161229306426
0.349.393872436570780.0893031838834502
0.359.412236636407220.0897420624527104
0.369.430558143544990.0894912771938858
0.379.448711240361980.0887159862949066
0.389.466597622789710.0875596739685748
0.399.48414328521560.0861111567040731
0.49.501291804465380.0843915151030121
0.419.517996890800850.0824531938556768
0.429.534216443823480.0802504972951623
0.439.549909293809420.0777818525759982
0.449.565034758199290.0750489164462275
0.459.579554404684340.0720711636421459
0.469.59343509380790.0688711820253766
0.479.606652409783670.0655301765732015
0.489.619193825143240.0621148739433524
0.499.631061232195840.0586988615830693
0.59.642272718493940.0553790657999811
0.519.652863634380370.0522520587603006
0.529.662887103903930.0494046239901441
0.539.67241417276480.0469414481243821
0.549.681533758214630.0449338530846424
0.559.690352445899330.0434892062159793
0.569.698993963608580.0427152277822116
0.579.707597891576270.0426513106761125
0.589.71631693704130.0434064101175405
0.599.725312036164740.0449920176228498
0.69.734744766857680.0474008868736387
0.619.744767108614790.0505540589096608
0.629.755509398060940.0543125822215412
0.639.767068199084940.058405765936022
0.649.779496442023050.0625793587530462
0.659.79279829505340.0665422792286716
0.669.806930631966470.0700556276895899
0.679.821811676573070.0729373651342358
0.689.837335692761830.0750974924758908
0.699.853390891614630.0765629311001947
0.79.869876544586840.0774665095848916
0.719.886715034271750.0779961914976293
0.729.903855433010540.0783059493556639
0.739.921267089487080.0785557717383385
0.749.938924283251470.0787161541886013
0.759.956785753823660.078719662319625
0.769.974775210580470.0783335716518496
0.779.992770163796120.0773216217132544
0.7810.01060605913540.0754361313022675
0.7910.02810044376560.0725888906221096
0.810.04509782224540.068889210958074
0.8110.06153054626350.0647193058967497
0.8210.07748550762290.060777028423869
0.8310.09326163618460.057999831416153
0.8410.10940000643280.057439465001489
0.8510.12666721081280.0600149312705645
0.8610.14597466347030.0660988810156288
0.8710.16822486731460.0752231901759058
0.8810.19409617803270.0860061282164706
0.8910.22381512266470.096330997757204
0.910.25701459233330.103722497834092
0.9110.29280901414940.106183826850374
0.9210.33017771485630.103274749951446
0.9310.36857658805510.0970556577666076
0.9410.40841926408370.0918571058274895
0.9510.45091361584850.0911525885096822
0.9610.49712068430470.09234704373689
0.9710.54699669017070.0877256543325648
0.9810.59900502546500.0761729602486767
0.9910.64796949974300.0727176649279756



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')