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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 06 Mar 2011 17:42:31 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Mar/06/t1299433247nbza3ng6hcs9ml0.htm/, Retrieved Sun, 12 May 2024 16:19:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119697, Retrieved Sun, 12 May 2024 16:19:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact194
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2011-03-06 17:42:31] [39dfb880f237820275004e8a4e7fff84] [Current]
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Dataseries X:
1.3014
1.3201
1.2938
1.2694
1.2165
1.2037
1.2292
1.2256
1.2015
1.1786
1.1856
1.2103
1.1938
1.202
1.2271
1.277
1.265
1.2684
1.2811
1.2727
1.2611
1.2881
1.3213
1.2999
1.3074
1.3242
1.3516
1.3511
1.3419
1.3716
1.3622
1.3896
1.4227
1.4684
1.457
1.4718
1.4748
1.5527
1.5751
1.5557
1.5553
1.577
1.4975
1.437
1.3322
1.2732
1.3449
1.3239
1.2785
1.305
1.319
1.365
1.4016
1.4088
1.4268
1.4562
1.4816
1.4914
1.4614
1.4272
1.3686
1.3569
1.3406
1.2565
1.2209
1.277
1.2894
1.3067
1.3898
1.3661
1.322
1.336




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 216.218.223.82

\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 & 'George Udny Yule' @ 216.218.223.82 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119697&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]'George Udny Yule' @ 216.218.223.82[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119697&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119697&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'George Udny Yule' @ 216.218.223.82







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.181201180759660.00720682567253174
0.021.185379034444850.00783275852477795
0.031.189964189959030.00812783538412906
0.041.194272637737020.00792485319316948
0.051.198109166773130.00765960484462214
0.061.201549717243810.00778303203435158
0.071.204773373452660.00842149834222452
0.081.207961469383980.0094235649851006
0.091.211248945811530.0106014856179236
0.11.214715724666240.0118594286093896
0.111.21840002271480.0131791922866709
0.121.22231452977440.0145552827068875
0.131.226454262359640.0159318959854614
0.141.230795177323490.0171903570095725
0.151.235289175403980.0181723784801195
0.161.239862198585370.01872664852982
0.171.24441929116210.0187621291602305
0.181.248856428283890.0182639680403977
0.191.253075813713760.0173043486410837
0.21.257000242041820.0160184184452361
0.211.260582906153930.01457371950501
0.221.263810905417790.013134751766292
0.231.266702711486940.0118477079056552
0.241.269301269237530.0108148417237304
0.251.271664973649870.0100938252208
0.261.273858576235220.00969209578804853
0.271.275945451976050.00958378416243741
0.281.277981934915760.0097108204572765
0.291.28001383948270.0100160398795095
0.31.282074917834510.0104288454886198
0.311.284186843561640.010891721868518
0.321.28636028855840.0113568166955824
0.331.288596700071140.0117802383020959
0.341.290890441821450.0121412706001092
0.351.293231019518080.012422464787805
0.361.295605169059090.0126195071333121
0.371.297998651814270.0127335161957661
0.381.300397675899340.0127732107502295
0.391.302789936264340.0127506313387646
0.41.305165324890360.0126755664388669
0.411.307516391953910.0125658011565689
0.421.309838634130550.0124309321619324
0.431.312130653344540.0122899989773724
0.441.314394184233920.0121603590188205
0.451.316633951698340.0120594979034279
0.461.318857308256380.0120054373328079
0.471.321073622085920.0120066271201755
0.481.323293435621280.0120722220804582
0.491.325527475826130.0121981260500779
0.51.327785650186590.012375496514162
0.511.330076188962530.0125900324418677
0.521.332405084900250.0128205633262528
0.531.334775938534850.0130553908617779
0.541.337190252371680.0132781122335345
0.551.339648147385830.0134805473412493
0.561.342149415570970.0136688718632498
0.571.344694781271070.0138475177494977
0.581.347287222095020.0140330181305361
0.591.349933191710530.0142482930348513
0.61.352643585013280.0145195819293257
0.611.355434288437230.0148780161218808
0.621.358326168912530.0153522510008594
0.631.361344384628360.0159628326048037
0.641.364516960873260.0167274283312845
0.651.367872670330870.0176413574822057
0.661.371438382356730.0186817503149704
0.671.375236177756430.0198116303404708
0.681.379280629833560.0209784078348177
0.691.38357669059250.0221185108663987
0.71.388118563311610.0231677983169741
0.711.392889781364640.0240672273185808
0.721.397864471391410.0247746408774029
0.731.403009512531480.0252626160326634
0.741.408287091448510.02552141762442
0.751.413657076623610.025555998571858
0.761.419078749776860.0253824604274925
0.771.42451173772380.025015243690393
0.781.429916415769870.0244633936488273
0.791.435254476545280.0237326778334166
0.81.440490629299560.0228313986309151
0.811.445596404122420.0217768970778362
0.821.450556753717530.0206176173541788
0.831.45537961786530.0194407024009633
0.841.460107888639450.0183837527533068
0.851.464832217007770.017637205147126
0.861.469701591117170.0174399629315853
0.871.474926364514480.0180383817893722
0.881.480765784814960.0196155237244552
0.891.487490894889240.022166111840644
0.91.495317652230730.0253818875553022
0.911.50431833832020.0285965891092479
0.921.51434158369320.0308620746716761
0.931.524991256440210.0312251439659693
0.941.535707421957960.0291818857595227
0.951.545935182894710.0251038265424891
0.961.555274190920590.0202220207007098
0.971.563459694150630.0157233436945335
0.981.570153944433850.0113469337783795
0.991.574809977386810.00613313191381586

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.18120118075966 & 0.00720682567253174 \tabularnewline
0.02 & 1.18537903444485 & 0.00783275852477795 \tabularnewline
0.03 & 1.18996418995903 & 0.00812783538412906 \tabularnewline
0.04 & 1.19427263773702 & 0.00792485319316948 \tabularnewline
0.05 & 1.19810916677313 & 0.00765960484462214 \tabularnewline
0.06 & 1.20154971724381 & 0.00778303203435158 \tabularnewline
0.07 & 1.20477337345266 & 0.00842149834222452 \tabularnewline
0.08 & 1.20796146938398 & 0.0094235649851006 \tabularnewline
0.09 & 1.21124894581153 & 0.0106014856179236 \tabularnewline
0.1 & 1.21471572466624 & 0.0118594286093896 \tabularnewline
0.11 & 1.2184000227148 & 0.0131791922866709 \tabularnewline
0.12 & 1.2223145297744 & 0.0145552827068875 \tabularnewline
0.13 & 1.22645426235964 & 0.0159318959854614 \tabularnewline
0.14 & 1.23079517732349 & 0.0171903570095725 \tabularnewline
0.15 & 1.23528917540398 & 0.0181723784801195 \tabularnewline
0.16 & 1.23986219858537 & 0.01872664852982 \tabularnewline
0.17 & 1.2444192911621 & 0.0187621291602305 \tabularnewline
0.18 & 1.24885642828389 & 0.0182639680403977 \tabularnewline
0.19 & 1.25307581371376 & 0.0173043486410837 \tabularnewline
0.2 & 1.25700024204182 & 0.0160184184452361 \tabularnewline
0.21 & 1.26058290615393 & 0.01457371950501 \tabularnewline
0.22 & 1.26381090541779 & 0.013134751766292 \tabularnewline
0.23 & 1.26670271148694 & 0.0118477079056552 \tabularnewline
0.24 & 1.26930126923753 & 0.0108148417237304 \tabularnewline
0.25 & 1.27166497364987 & 0.0100938252208 \tabularnewline
0.26 & 1.27385857623522 & 0.00969209578804853 \tabularnewline
0.27 & 1.27594545197605 & 0.00958378416243741 \tabularnewline
0.28 & 1.27798193491576 & 0.0097108204572765 \tabularnewline
0.29 & 1.2800138394827 & 0.0100160398795095 \tabularnewline
0.3 & 1.28207491783451 & 0.0104288454886198 \tabularnewline
0.31 & 1.28418684356164 & 0.010891721868518 \tabularnewline
0.32 & 1.2863602885584 & 0.0113568166955824 \tabularnewline
0.33 & 1.28859670007114 & 0.0117802383020959 \tabularnewline
0.34 & 1.29089044182145 & 0.0121412706001092 \tabularnewline
0.35 & 1.29323101951808 & 0.012422464787805 \tabularnewline
0.36 & 1.29560516905909 & 0.0126195071333121 \tabularnewline
0.37 & 1.29799865181427 & 0.0127335161957661 \tabularnewline
0.38 & 1.30039767589934 & 0.0127732107502295 \tabularnewline
0.39 & 1.30278993626434 & 0.0127506313387646 \tabularnewline
0.4 & 1.30516532489036 & 0.0126755664388669 \tabularnewline
0.41 & 1.30751639195391 & 0.0125658011565689 \tabularnewline
0.42 & 1.30983863413055 & 0.0124309321619324 \tabularnewline
0.43 & 1.31213065334454 & 0.0122899989773724 \tabularnewline
0.44 & 1.31439418423392 & 0.0121603590188205 \tabularnewline
0.45 & 1.31663395169834 & 0.0120594979034279 \tabularnewline
0.46 & 1.31885730825638 & 0.0120054373328079 \tabularnewline
0.47 & 1.32107362208592 & 0.0120066271201755 \tabularnewline
0.48 & 1.32329343562128 & 0.0120722220804582 \tabularnewline
0.49 & 1.32552747582613 & 0.0121981260500779 \tabularnewline
0.5 & 1.32778565018659 & 0.012375496514162 \tabularnewline
0.51 & 1.33007618896253 & 0.0125900324418677 \tabularnewline
0.52 & 1.33240508490025 & 0.0128205633262528 \tabularnewline
0.53 & 1.33477593853485 & 0.0130553908617779 \tabularnewline
0.54 & 1.33719025237168 & 0.0132781122335345 \tabularnewline
0.55 & 1.33964814738583 & 0.0134805473412493 \tabularnewline
0.56 & 1.34214941557097 & 0.0136688718632498 \tabularnewline
0.57 & 1.34469478127107 & 0.0138475177494977 \tabularnewline
0.58 & 1.34728722209502 & 0.0140330181305361 \tabularnewline
0.59 & 1.34993319171053 & 0.0142482930348513 \tabularnewline
0.6 & 1.35264358501328 & 0.0145195819293257 \tabularnewline
0.61 & 1.35543428843723 & 0.0148780161218808 \tabularnewline
0.62 & 1.35832616891253 & 0.0153522510008594 \tabularnewline
0.63 & 1.36134438462836 & 0.0159628326048037 \tabularnewline
0.64 & 1.36451696087326 & 0.0167274283312845 \tabularnewline
0.65 & 1.36787267033087 & 0.0176413574822057 \tabularnewline
0.66 & 1.37143838235673 & 0.0186817503149704 \tabularnewline
0.67 & 1.37523617775643 & 0.0198116303404708 \tabularnewline
0.68 & 1.37928062983356 & 0.0209784078348177 \tabularnewline
0.69 & 1.3835766905925 & 0.0221185108663987 \tabularnewline
0.7 & 1.38811856331161 & 0.0231677983169741 \tabularnewline
0.71 & 1.39288978136464 & 0.0240672273185808 \tabularnewline
0.72 & 1.39786447139141 & 0.0247746408774029 \tabularnewline
0.73 & 1.40300951253148 & 0.0252626160326634 \tabularnewline
0.74 & 1.40828709144851 & 0.02552141762442 \tabularnewline
0.75 & 1.41365707662361 & 0.025555998571858 \tabularnewline
0.76 & 1.41907874977686 & 0.0253824604274925 \tabularnewline
0.77 & 1.4245117377238 & 0.025015243690393 \tabularnewline
0.78 & 1.42991641576987 & 0.0244633936488273 \tabularnewline
0.79 & 1.43525447654528 & 0.0237326778334166 \tabularnewline
0.8 & 1.44049062929956 & 0.0228313986309151 \tabularnewline
0.81 & 1.44559640412242 & 0.0217768970778362 \tabularnewline
0.82 & 1.45055675371753 & 0.0206176173541788 \tabularnewline
0.83 & 1.4553796178653 & 0.0194407024009633 \tabularnewline
0.84 & 1.46010788863945 & 0.0183837527533068 \tabularnewline
0.85 & 1.46483221700777 & 0.017637205147126 \tabularnewline
0.86 & 1.46970159111717 & 0.0174399629315853 \tabularnewline
0.87 & 1.47492636451448 & 0.0180383817893722 \tabularnewline
0.88 & 1.48076578481496 & 0.0196155237244552 \tabularnewline
0.89 & 1.48749089488924 & 0.022166111840644 \tabularnewline
0.9 & 1.49531765223073 & 0.0253818875553022 \tabularnewline
0.91 & 1.5043183383202 & 0.0285965891092479 \tabularnewline
0.92 & 1.5143415836932 & 0.0308620746716761 \tabularnewline
0.93 & 1.52499125644021 & 0.0312251439659693 \tabularnewline
0.94 & 1.53570742195796 & 0.0291818857595227 \tabularnewline
0.95 & 1.54593518289471 & 0.0251038265424891 \tabularnewline
0.96 & 1.55527419092059 & 0.0202220207007098 \tabularnewline
0.97 & 1.56345969415063 & 0.0157233436945335 \tabularnewline
0.98 & 1.57015394443385 & 0.0113469337783795 \tabularnewline
0.99 & 1.57480997738681 & 0.00613313191381586 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119697&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]1.18120118075966[/C][C]0.00720682567253174[/C][/ROW]
[ROW][C]0.02[/C][C]1.18537903444485[/C][C]0.00783275852477795[/C][/ROW]
[ROW][C]0.03[/C][C]1.18996418995903[/C][C]0.00812783538412906[/C][/ROW]
[ROW][C]0.04[/C][C]1.19427263773702[/C][C]0.00792485319316948[/C][/ROW]
[ROW][C]0.05[/C][C]1.19810916677313[/C][C]0.00765960484462214[/C][/ROW]
[ROW][C]0.06[/C][C]1.20154971724381[/C][C]0.00778303203435158[/C][/ROW]
[ROW][C]0.07[/C][C]1.20477337345266[/C][C]0.00842149834222452[/C][/ROW]
[ROW][C]0.08[/C][C]1.20796146938398[/C][C]0.0094235649851006[/C][/ROW]
[ROW][C]0.09[/C][C]1.21124894581153[/C][C]0.0106014856179236[/C][/ROW]
[ROW][C]0.1[/C][C]1.21471572466624[/C][C]0.0118594286093896[/C][/ROW]
[ROW][C]0.11[/C][C]1.2184000227148[/C][C]0.0131791922866709[/C][/ROW]
[ROW][C]0.12[/C][C]1.2223145297744[/C][C]0.0145552827068875[/C][/ROW]
[ROW][C]0.13[/C][C]1.22645426235964[/C][C]0.0159318959854614[/C][/ROW]
[ROW][C]0.14[/C][C]1.23079517732349[/C][C]0.0171903570095725[/C][/ROW]
[ROW][C]0.15[/C][C]1.23528917540398[/C][C]0.0181723784801195[/C][/ROW]
[ROW][C]0.16[/C][C]1.23986219858537[/C][C]0.01872664852982[/C][/ROW]
[ROW][C]0.17[/C][C]1.2444192911621[/C][C]0.0187621291602305[/C][/ROW]
[ROW][C]0.18[/C][C]1.24885642828389[/C][C]0.0182639680403977[/C][/ROW]
[ROW][C]0.19[/C][C]1.25307581371376[/C][C]0.0173043486410837[/C][/ROW]
[ROW][C]0.2[/C][C]1.25700024204182[/C][C]0.0160184184452361[/C][/ROW]
[ROW][C]0.21[/C][C]1.26058290615393[/C][C]0.01457371950501[/C][/ROW]
[ROW][C]0.22[/C][C]1.26381090541779[/C][C]0.013134751766292[/C][/ROW]
[ROW][C]0.23[/C][C]1.26670271148694[/C][C]0.0118477079056552[/C][/ROW]
[ROW][C]0.24[/C][C]1.26930126923753[/C][C]0.0108148417237304[/C][/ROW]
[ROW][C]0.25[/C][C]1.27166497364987[/C][C]0.0100938252208[/C][/ROW]
[ROW][C]0.26[/C][C]1.27385857623522[/C][C]0.00969209578804853[/C][/ROW]
[ROW][C]0.27[/C][C]1.27594545197605[/C][C]0.00958378416243741[/C][/ROW]
[ROW][C]0.28[/C][C]1.27798193491576[/C][C]0.0097108204572765[/C][/ROW]
[ROW][C]0.29[/C][C]1.2800138394827[/C][C]0.0100160398795095[/C][/ROW]
[ROW][C]0.3[/C][C]1.28207491783451[/C][C]0.0104288454886198[/C][/ROW]
[ROW][C]0.31[/C][C]1.28418684356164[/C][C]0.010891721868518[/C][/ROW]
[ROW][C]0.32[/C][C]1.2863602885584[/C][C]0.0113568166955824[/C][/ROW]
[ROW][C]0.33[/C][C]1.28859670007114[/C][C]0.0117802383020959[/C][/ROW]
[ROW][C]0.34[/C][C]1.29089044182145[/C][C]0.0121412706001092[/C][/ROW]
[ROW][C]0.35[/C][C]1.29323101951808[/C][C]0.012422464787805[/C][/ROW]
[ROW][C]0.36[/C][C]1.29560516905909[/C][C]0.0126195071333121[/C][/ROW]
[ROW][C]0.37[/C][C]1.29799865181427[/C][C]0.0127335161957661[/C][/ROW]
[ROW][C]0.38[/C][C]1.30039767589934[/C][C]0.0127732107502295[/C][/ROW]
[ROW][C]0.39[/C][C]1.30278993626434[/C][C]0.0127506313387646[/C][/ROW]
[ROW][C]0.4[/C][C]1.30516532489036[/C][C]0.0126755664388669[/C][/ROW]
[ROW][C]0.41[/C][C]1.30751639195391[/C][C]0.0125658011565689[/C][/ROW]
[ROW][C]0.42[/C][C]1.30983863413055[/C][C]0.0124309321619324[/C][/ROW]
[ROW][C]0.43[/C][C]1.31213065334454[/C][C]0.0122899989773724[/C][/ROW]
[ROW][C]0.44[/C][C]1.31439418423392[/C][C]0.0121603590188205[/C][/ROW]
[ROW][C]0.45[/C][C]1.31663395169834[/C][C]0.0120594979034279[/C][/ROW]
[ROW][C]0.46[/C][C]1.31885730825638[/C][C]0.0120054373328079[/C][/ROW]
[ROW][C]0.47[/C][C]1.32107362208592[/C][C]0.0120066271201755[/C][/ROW]
[ROW][C]0.48[/C][C]1.32329343562128[/C][C]0.0120722220804582[/C][/ROW]
[ROW][C]0.49[/C][C]1.32552747582613[/C][C]0.0121981260500779[/C][/ROW]
[ROW][C]0.5[/C][C]1.32778565018659[/C][C]0.012375496514162[/C][/ROW]
[ROW][C]0.51[/C][C]1.33007618896253[/C][C]0.0125900324418677[/C][/ROW]
[ROW][C]0.52[/C][C]1.33240508490025[/C][C]0.0128205633262528[/C][/ROW]
[ROW][C]0.53[/C][C]1.33477593853485[/C][C]0.0130553908617779[/C][/ROW]
[ROW][C]0.54[/C][C]1.33719025237168[/C][C]0.0132781122335345[/C][/ROW]
[ROW][C]0.55[/C][C]1.33964814738583[/C][C]0.0134805473412493[/C][/ROW]
[ROW][C]0.56[/C][C]1.34214941557097[/C][C]0.0136688718632498[/C][/ROW]
[ROW][C]0.57[/C][C]1.34469478127107[/C][C]0.0138475177494977[/C][/ROW]
[ROW][C]0.58[/C][C]1.34728722209502[/C][C]0.0140330181305361[/C][/ROW]
[ROW][C]0.59[/C][C]1.34993319171053[/C][C]0.0142482930348513[/C][/ROW]
[ROW][C]0.6[/C][C]1.35264358501328[/C][C]0.0145195819293257[/C][/ROW]
[ROW][C]0.61[/C][C]1.35543428843723[/C][C]0.0148780161218808[/C][/ROW]
[ROW][C]0.62[/C][C]1.35832616891253[/C][C]0.0153522510008594[/C][/ROW]
[ROW][C]0.63[/C][C]1.36134438462836[/C][C]0.0159628326048037[/C][/ROW]
[ROW][C]0.64[/C][C]1.36451696087326[/C][C]0.0167274283312845[/C][/ROW]
[ROW][C]0.65[/C][C]1.36787267033087[/C][C]0.0176413574822057[/C][/ROW]
[ROW][C]0.66[/C][C]1.37143838235673[/C][C]0.0186817503149704[/C][/ROW]
[ROW][C]0.67[/C][C]1.37523617775643[/C][C]0.0198116303404708[/C][/ROW]
[ROW][C]0.68[/C][C]1.37928062983356[/C][C]0.0209784078348177[/C][/ROW]
[ROW][C]0.69[/C][C]1.3835766905925[/C][C]0.0221185108663987[/C][/ROW]
[ROW][C]0.7[/C][C]1.38811856331161[/C][C]0.0231677983169741[/C][/ROW]
[ROW][C]0.71[/C][C]1.39288978136464[/C][C]0.0240672273185808[/C][/ROW]
[ROW][C]0.72[/C][C]1.39786447139141[/C][C]0.0247746408774029[/C][/ROW]
[ROW][C]0.73[/C][C]1.40300951253148[/C][C]0.0252626160326634[/C][/ROW]
[ROW][C]0.74[/C][C]1.40828709144851[/C][C]0.02552141762442[/C][/ROW]
[ROW][C]0.75[/C][C]1.41365707662361[/C][C]0.025555998571858[/C][/ROW]
[ROW][C]0.76[/C][C]1.41907874977686[/C][C]0.0253824604274925[/C][/ROW]
[ROW][C]0.77[/C][C]1.4245117377238[/C][C]0.025015243690393[/C][/ROW]
[ROW][C]0.78[/C][C]1.42991641576987[/C][C]0.0244633936488273[/C][/ROW]
[ROW][C]0.79[/C][C]1.43525447654528[/C][C]0.0237326778334166[/C][/ROW]
[ROW][C]0.8[/C][C]1.44049062929956[/C][C]0.0228313986309151[/C][/ROW]
[ROW][C]0.81[/C][C]1.44559640412242[/C][C]0.0217768970778362[/C][/ROW]
[ROW][C]0.82[/C][C]1.45055675371753[/C][C]0.0206176173541788[/C][/ROW]
[ROW][C]0.83[/C][C]1.4553796178653[/C][C]0.0194407024009633[/C][/ROW]
[ROW][C]0.84[/C][C]1.46010788863945[/C][C]0.0183837527533068[/C][/ROW]
[ROW][C]0.85[/C][C]1.46483221700777[/C][C]0.017637205147126[/C][/ROW]
[ROW][C]0.86[/C][C]1.46970159111717[/C][C]0.0174399629315853[/C][/ROW]
[ROW][C]0.87[/C][C]1.47492636451448[/C][C]0.0180383817893722[/C][/ROW]
[ROW][C]0.88[/C][C]1.48076578481496[/C][C]0.0196155237244552[/C][/ROW]
[ROW][C]0.89[/C][C]1.48749089488924[/C][C]0.022166111840644[/C][/ROW]
[ROW][C]0.9[/C][C]1.49531765223073[/C][C]0.0253818875553022[/C][/ROW]
[ROW][C]0.91[/C][C]1.5043183383202[/C][C]0.0285965891092479[/C][/ROW]
[ROW][C]0.92[/C][C]1.5143415836932[/C][C]0.0308620746716761[/C][/ROW]
[ROW][C]0.93[/C][C]1.52499125644021[/C][C]0.0312251439659693[/C][/ROW]
[ROW][C]0.94[/C][C]1.53570742195796[/C][C]0.0291818857595227[/C][/ROW]
[ROW][C]0.95[/C][C]1.54593518289471[/C][C]0.0251038265424891[/C][/ROW]
[ROW][C]0.96[/C][C]1.55527419092059[/C][C]0.0202220207007098[/C][/ROW]
[ROW][C]0.97[/C][C]1.56345969415063[/C][C]0.0157233436945335[/C][/ROW]
[ROW][C]0.98[/C][C]1.57015394443385[/C][C]0.0113469337783795[/C][/ROW]
[ROW][C]0.99[/C][C]1.57480997738681[/C][C]0.00613313191381586[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119697&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119697&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
0.011.181201180759660.00720682567253174
0.021.185379034444850.00783275852477795
0.031.189964189959030.00812783538412906
0.041.194272637737020.00792485319316948
0.051.198109166773130.00765960484462214
0.061.201549717243810.00778303203435158
0.071.204773373452660.00842149834222452
0.081.207961469383980.0094235649851006
0.091.211248945811530.0106014856179236
0.11.214715724666240.0118594286093896
0.111.21840002271480.0131791922866709
0.121.22231452977440.0145552827068875
0.131.226454262359640.0159318959854614
0.141.230795177323490.0171903570095725
0.151.235289175403980.0181723784801195
0.161.239862198585370.01872664852982
0.171.24441929116210.0187621291602305
0.181.248856428283890.0182639680403977
0.191.253075813713760.0173043486410837
0.21.257000242041820.0160184184452361
0.211.260582906153930.01457371950501
0.221.263810905417790.013134751766292
0.231.266702711486940.0118477079056552
0.241.269301269237530.0108148417237304
0.251.271664973649870.0100938252208
0.261.273858576235220.00969209578804853
0.271.275945451976050.00958378416243741
0.281.277981934915760.0097108204572765
0.291.28001383948270.0100160398795095
0.31.282074917834510.0104288454886198
0.311.284186843561640.010891721868518
0.321.28636028855840.0113568166955824
0.331.288596700071140.0117802383020959
0.341.290890441821450.0121412706001092
0.351.293231019518080.012422464787805
0.361.295605169059090.0126195071333121
0.371.297998651814270.0127335161957661
0.381.300397675899340.0127732107502295
0.391.302789936264340.0127506313387646
0.41.305165324890360.0126755664388669
0.411.307516391953910.0125658011565689
0.421.309838634130550.0124309321619324
0.431.312130653344540.0122899989773724
0.441.314394184233920.0121603590188205
0.451.316633951698340.0120594979034279
0.461.318857308256380.0120054373328079
0.471.321073622085920.0120066271201755
0.481.323293435621280.0120722220804582
0.491.325527475826130.0121981260500779
0.51.327785650186590.012375496514162
0.511.330076188962530.0125900324418677
0.521.332405084900250.0128205633262528
0.531.334775938534850.0130553908617779
0.541.337190252371680.0132781122335345
0.551.339648147385830.0134805473412493
0.561.342149415570970.0136688718632498
0.571.344694781271070.0138475177494977
0.581.347287222095020.0140330181305361
0.591.349933191710530.0142482930348513
0.61.352643585013280.0145195819293257
0.611.355434288437230.0148780161218808
0.621.358326168912530.0153522510008594
0.631.361344384628360.0159628326048037
0.641.364516960873260.0167274283312845
0.651.367872670330870.0176413574822057
0.661.371438382356730.0186817503149704
0.671.375236177756430.0198116303404708
0.681.379280629833560.0209784078348177
0.691.38357669059250.0221185108663987
0.71.388118563311610.0231677983169741
0.711.392889781364640.0240672273185808
0.721.397864471391410.0247746408774029
0.731.403009512531480.0252626160326634
0.741.408287091448510.02552141762442
0.751.413657076623610.025555998571858
0.761.419078749776860.0253824604274925
0.771.42451173772380.025015243690393
0.781.429916415769870.0244633936488273
0.791.435254476545280.0237326778334166
0.81.440490629299560.0228313986309151
0.811.445596404122420.0217768970778362
0.821.450556753717530.0206176173541788
0.831.45537961786530.0194407024009633
0.841.460107888639450.0183837527533068
0.851.464832217007770.017637205147126
0.861.469701591117170.0174399629315853
0.871.474926364514480.0180383817893722
0.881.480765784814960.0196155237244552
0.891.487490894889240.022166111840644
0.91.495317652230730.0253818875553022
0.911.50431833832020.0285965891092479
0.921.51434158369320.0308620746716761
0.931.524991256440210.0312251439659693
0.941.535707421957960.0291818857595227
0.951.545935182894710.0251038265424891
0.961.555274190920590.0202220207007098
0.971.563459694150630.0157233436945335
0.981.570153944433850.0113469337783795
0.991.574809977386810.00613313191381586



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')