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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 computationTue, 01 Mar 2016 15:03:57 +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/2016/Mar/01/t1456844698yoaimh7o6n3vjag.htm/, Retrieved Tue, 07 May 2024 08:09:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293148, Retrieved Tue, 07 May 2024 08:09:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75

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] [] [2016-03-01 15:03:57] [aeeb828bd20a6dc3c22e186b82add773] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.1216
1.0569
1.0486
1.038
0.9865
0.9332
0.9052
0.8683
0.9232
0.8725
0.8903
0.8959
0.8766
0.9188
0.9838
0.9994
1.0731
1.1372
1.1248
1.189
1.2497
1.2046
1.222
1.2977
1.3113
1.2594
1.2199
1.1884
1.2023
1.2582
1.2743
1.2887
1.3106
1.3481
1.3738
1.4486
1.4976
1.5622
1.505
1.318
1.3029
1.3632
1.4303
1.4779
1.3829
1.2708
1.291
1.3583
1.368
1.4391
1.4127
1.3482
1.3108
1.2814
1.2502
1.2967
1.3206
1.3062
1.3242
1.361
1.3696
1.3711
1.3256
1.2498
1.1261
1.1053
1.1117
1.0953

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293148&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293148&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293148&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.8699595043034330.00487199824508397
0.020.8730377993267950.00702118417620099
0.030.877226484830410.0099193022059045
0.040.8822759764426560.0127416666329301
0.050.8880154553743860.0153101311142627
0.060.8943419945722680.0179034595317234
0.070.9012339419641280.020888474611648
0.080.9087464910838030.0244677937103842
0.090.9169749893320650.0286090759265187
0.10.9260044384805750.0330847840672056
0.110.9358675692048050.037554480216985
0.120.9465233939883710.0416585159532326
0.130.9578576125746590.0451015998227032
0.140.9696997766995840.0477031054401776
0.150.9818492729696310.0494102910090884
0.160.9941021209953380.0502720803030166
0.171.006272615253070.0504027399163501
0.181.018206959486820.0499417055769969
0.191.029789031067210.0490338918102243
0.21.040940343178410.0478117036810915
0.211.051616856112070.0463985950655885
0.221.061804812112980.0449092714912014
0.231.071516781874930.0434578171905343
0.241.08078812655650.0421495055518442
0.251.089673416151210.0410929513829429
0.261.098242117696850.0403770440574777
0.271.10657303894330.0400602397873265
0.281.11474745661730.0401571720194921
0.291.12284139852420.0406223075871407
0.31.130918003459950.04135682361243
0.311.13902110486430.0422210639485799
0.321.14717109896560.0430604949272868
0.331.155363785531990.0437244429175521
0.341.163572315112190.0440934096852875
0.351.171751796593430.0440888712091402
0.361.179845667074530.0436785592646265
0.371.187792707010770.0428690268467705
0.381.195533625217550.0417067450323264
0.391.20301639272450.0402592983290879
0.41.210199873321810.038601440495801
0.411.217055670992510.0368126946502083
0.421.223568402248770.0349628696507108
0.431.229734761175990.0331184196404839
0.441.235561780602110.0313277914995467
0.451.241064642274640.0296308212851928
0.461.246264302932550.0280547808279443
0.471.251185124538950.0266155431909531
0.481.255852648095330.0253181703362557
0.491.260291631406130.024152576019939
0.51.264524466440080.0231022692175839
0.511.268570081745730.0221418694617681
0.521.272443405827580.0212432776028176
0.531.276155416067850.0203799529580872
0.541.279713733525440.0195381841527866
0.551.283123661990560.0186993039004765
0.561.286389524883410.0178656889361984
0.571.289516134678810.0170450766191945
0.581.292510236345150.0162503277022648
0.591.295381790627020.015507888080118
0.61.298144992466290.0148445155636864
0.611.300818942862590.0142853387177156
0.621.303427902782060.0138668912668534
0.631.306001056997330.0136172014300517
0.641.308571713421250.0135579426866906
0.651.311175874043320.0137082936953084
0.661.313850151780080.0140657185853407
0.671.316629083016230.0146115404421228
0.681.319541997804090.0153051615352416
0.691.322609744985290.0160904768004937
0.71.325841701620940.0168918561431922
0.711.329233590717860.0176241841624427
0.721.332766654349430.0182075590851058
0.731.336408657646010.0185652062124561
0.741.340117028913270.01864742097198
0.751.343844190540460.0184343726163407
0.761.347544838433620.0179440093962636
0.771.351184620073690.0172376039885365
0.781.35474936438420.0164227277507902
0.791.358253731739750.015647309005709
0.81.361747876507090.015093606154001
0.811.365320480425530.0149642840643187
0.821.369096443235310.0154427432054126
0.831.373227840092050.0166395590921011
0.841.377877765557110.0185385456922068
0.851.383198560191110.0209864081900252
0.861.389308447346010.0237146264499019
0.871.396272933544410.0263906545328265
0.881.404097926978860.0286861846273079
0.891.41273876939730.0303660376991136
0.91.422122772568370.0313588376338131
0.911.432174861262460.0317672634092099
0.921.442833358716920.0317723435787316
0.931.454055852088270.0314521301986699
0.941.465848695531410.0306604447474706
0.951.478386468908760.0292236937803256
0.961.492235584985090.0276531805871583
0.971.508418306918640.0282639295843504
0.981.527582725045750.0345566416684076
0.991.547699736609830.0461269666117319

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.869959504303433 & 0.00487199824508397 \tabularnewline
0.02 & 0.873037799326795 & 0.00702118417620099 \tabularnewline
0.03 & 0.87722648483041 & 0.0099193022059045 \tabularnewline
0.04 & 0.882275976442656 & 0.0127416666329301 \tabularnewline
0.05 & 0.888015455374386 & 0.0153101311142627 \tabularnewline
0.06 & 0.894341994572268 & 0.0179034595317234 \tabularnewline
0.07 & 0.901233941964128 & 0.020888474611648 \tabularnewline
0.08 & 0.908746491083803 & 0.0244677937103842 \tabularnewline
0.09 & 0.916974989332065 & 0.0286090759265187 \tabularnewline
0.1 & 0.926004438480575 & 0.0330847840672056 \tabularnewline
0.11 & 0.935867569204805 & 0.037554480216985 \tabularnewline
0.12 & 0.946523393988371 & 0.0416585159532326 \tabularnewline
0.13 & 0.957857612574659 & 0.0451015998227032 \tabularnewline
0.14 & 0.969699776699584 & 0.0477031054401776 \tabularnewline
0.15 & 0.981849272969631 & 0.0494102910090884 \tabularnewline
0.16 & 0.994102120995338 & 0.0502720803030166 \tabularnewline
0.17 & 1.00627261525307 & 0.0504027399163501 \tabularnewline
0.18 & 1.01820695948682 & 0.0499417055769969 \tabularnewline
0.19 & 1.02978903106721 & 0.0490338918102243 \tabularnewline
0.2 & 1.04094034317841 & 0.0478117036810915 \tabularnewline
0.21 & 1.05161685611207 & 0.0463985950655885 \tabularnewline
0.22 & 1.06180481211298 & 0.0449092714912014 \tabularnewline
0.23 & 1.07151678187493 & 0.0434578171905343 \tabularnewline
0.24 & 1.0807881265565 & 0.0421495055518442 \tabularnewline
0.25 & 1.08967341615121 & 0.0410929513829429 \tabularnewline
0.26 & 1.09824211769685 & 0.0403770440574777 \tabularnewline
0.27 & 1.1065730389433 & 0.0400602397873265 \tabularnewline
0.28 & 1.1147474566173 & 0.0401571720194921 \tabularnewline
0.29 & 1.1228413985242 & 0.0406223075871407 \tabularnewline
0.3 & 1.13091800345995 & 0.04135682361243 \tabularnewline
0.31 & 1.1390211048643 & 0.0422210639485799 \tabularnewline
0.32 & 1.1471710989656 & 0.0430604949272868 \tabularnewline
0.33 & 1.15536378553199 & 0.0437244429175521 \tabularnewline
0.34 & 1.16357231511219 & 0.0440934096852875 \tabularnewline
0.35 & 1.17175179659343 & 0.0440888712091402 \tabularnewline
0.36 & 1.17984566707453 & 0.0436785592646265 \tabularnewline
0.37 & 1.18779270701077 & 0.0428690268467705 \tabularnewline
0.38 & 1.19553362521755 & 0.0417067450323264 \tabularnewline
0.39 & 1.2030163927245 & 0.0402592983290879 \tabularnewline
0.4 & 1.21019987332181 & 0.038601440495801 \tabularnewline
0.41 & 1.21705567099251 & 0.0368126946502083 \tabularnewline
0.42 & 1.22356840224877 & 0.0349628696507108 \tabularnewline
0.43 & 1.22973476117599 & 0.0331184196404839 \tabularnewline
0.44 & 1.23556178060211 & 0.0313277914995467 \tabularnewline
0.45 & 1.24106464227464 & 0.0296308212851928 \tabularnewline
0.46 & 1.24626430293255 & 0.0280547808279443 \tabularnewline
0.47 & 1.25118512453895 & 0.0266155431909531 \tabularnewline
0.48 & 1.25585264809533 & 0.0253181703362557 \tabularnewline
0.49 & 1.26029163140613 & 0.024152576019939 \tabularnewline
0.5 & 1.26452446644008 & 0.0231022692175839 \tabularnewline
0.51 & 1.26857008174573 & 0.0221418694617681 \tabularnewline
0.52 & 1.27244340582758 & 0.0212432776028176 \tabularnewline
0.53 & 1.27615541606785 & 0.0203799529580872 \tabularnewline
0.54 & 1.27971373352544 & 0.0195381841527866 \tabularnewline
0.55 & 1.28312366199056 & 0.0186993039004765 \tabularnewline
0.56 & 1.28638952488341 & 0.0178656889361984 \tabularnewline
0.57 & 1.28951613467881 & 0.0170450766191945 \tabularnewline
0.58 & 1.29251023634515 & 0.0162503277022648 \tabularnewline
0.59 & 1.29538179062702 & 0.015507888080118 \tabularnewline
0.6 & 1.29814499246629 & 0.0148445155636864 \tabularnewline
0.61 & 1.30081894286259 & 0.0142853387177156 \tabularnewline
0.62 & 1.30342790278206 & 0.0138668912668534 \tabularnewline
0.63 & 1.30600105699733 & 0.0136172014300517 \tabularnewline
0.64 & 1.30857171342125 & 0.0135579426866906 \tabularnewline
0.65 & 1.31117587404332 & 0.0137082936953084 \tabularnewline
0.66 & 1.31385015178008 & 0.0140657185853407 \tabularnewline
0.67 & 1.31662908301623 & 0.0146115404421228 \tabularnewline
0.68 & 1.31954199780409 & 0.0153051615352416 \tabularnewline
0.69 & 1.32260974498529 & 0.0160904768004937 \tabularnewline
0.7 & 1.32584170162094 & 0.0168918561431922 \tabularnewline
0.71 & 1.32923359071786 & 0.0176241841624427 \tabularnewline
0.72 & 1.33276665434943 & 0.0182075590851058 \tabularnewline
0.73 & 1.33640865764601 & 0.0185652062124561 \tabularnewline
0.74 & 1.34011702891327 & 0.01864742097198 \tabularnewline
0.75 & 1.34384419054046 & 0.0184343726163407 \tabularnewline
0.76 & 1.34754483843362 & 0.0179440093962636 \tabularnewline
0.77 & 1.35118462007369 & 0.0172376039885365 \tabularnewline
0.78 & 1.3547493643842 & 0.0164227277507902 \tabularnewline
0.79 & 1.35825373173975 & 0.015647309005709 \tabularnewline
0.8 & 1.36174787650709 & 0.015093606154001 \tabularnewline
0.81 & 1.36532048042553 & 0.0149642840643187 \tabularnewline
0.82 & 1.36909644323531 & 0.0154427432054126 \tabularnewline
0.83 & 1.37322784009205 & 0.0166395590921011 \tabularnewline
0.84 & 1.37787776555711 & 0.0185385456922068 \tabularnewline
0.85 & 1.38319856019111 & 0.0209864081900252 \tabularnewline
0.86 & 1.38930844734601 & 0.0237146264499019 \tabularnewline
0.87 & 1.39627293354441 & 0.0263906545328265 \tabularnewline
0.88 & 1.40409792697886 & 0.0286861846273079 \tabularnewline
0.89 & 1.4127387693973 & 0.0303660376991136 \tabularnewline
0.9 & 1.42212277256837 & 0.0313588376338131 \tabularnewline
0.91 & 1.43217486126246 & 0.0317672634092099 \tabularnewline
0.92 & 1.44283335871692 & 0.0317723435787316 \tabularnewline
0.93 & 1.45405585208827 & 0.0314521301986699 \tabularnewline
0.94 & 1.46584869553141 & 0.0306604447474706 \tabularnewline
0.95 & 1.47838646890876 & 0.0292236937803256 \tabularnewline
0.96 & 1.49223558498509 & 0.0276531805871583 \tabularnewline
0.97 & 1.50841830691864 & 0.0282639295843504 \tabularnewline
0.98 & 1.52758272504575 & 0.0345566416684076 \tabularnewline
0.99 & 1.54769973660983 & 0.0461269666117319 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293148&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]0.869959504303433[/C][C]0.00487199824508397[/C][/ROW]
[ROW][C]0.02[/C][C]0.873037799326795[/C][C]0.00702118417620099[/C][/ROW]
[ROW][C]0.03[/C][C]0.87722648483041[/C][C]0.0099193022059045[/C][/ROW]
[ROW][C]0.04[/C][C]0.882275976442656[/C][C]0.0127416666329301[/C][/ROW]
[ROW][C]0.05[/C][C]0.888015455374386[/C][C]0.0153101311142627[/C][/ROW]
[ROW][C]0.06[/C][C]0.894341994572268[/C][C]0.0179034595317234[/C][/ROW]
[ROW][C]0.07[/C][C]0.901233941964128[/C][C]0.020888474611648[/C][/ROW]
[ROW][C]0.08[/C][C]0.908746491083803[/C][C]0.0244677937103842[/C][/ROW]
[ROW][C]0.09[/C][C]0.916974989332065[/C][C]0.0286090759265187[/C][/ROW]
[ROW][C]0.1[/C][C]0.926004438480575[/C][C]0.0330847840672056[/C][/ROW]
[ROW][C]0.11[/C][C]0.935867569204805[/C][C]0.037554480216985[/C][/ROW]
[ROW][C]0.12[/C][C]0.946523393988371[/C][C]0.0416585159532326[/C][/ROW]
[ROW][C]0.13[/C][C]0.957857612574659[/C][C]0.0451015998227032[/C][/ROW]
[ROW][C]0.14[/C][C]0.969699776699584[/C][C]0.0477031054401776[/C][/ROW]
[ROW][C]0.15[/C][C]0.981849272969631[/C][C]0.0494102910090884[/C][/ROW]
[ROW][C]0.16[/C][C]0.994102120995338[/C][C]0.0502720803030166[/C][/ROW]
[ROW][C]0.17[/C][C]1.00627261525307[/C][C]0.0504027399163501[/C][/ROW]
[ROW][C]0.18[/C][C]1.01820695948682[/C][C]0.0499417055769969[/C][/ROW]
[ROW][C]0.19[/C][C]1.02978903106721[/C][C]0.0490338918102243[/C][/ROW]
[ROW][C]0.2[/C][C]1.04094034317841[/C][C]0.0478117036810915[/C][/ROW]
[ROW][C]0.21[/C][C]1.05161685611207[/C][C]0.0463985950655885[/C][/ROW]
[ROW][C]0.22[/C][C]1.06180481211298[/C][C]0.0449092714912014[/C][/ROW]
[ROW][C]0.23[/C][C]1.07151678187493[/C][C]0.0434578171905343[/C][/ROW]
[ROW][C]0.24[/C][C]1.0807881265565[/C][C]0.0421495055518442[/C][/ROW]
[ROW][C]0.25[/C][C]1.08967341615121[/C][C]0.0410929513829429[/C][/ROW]
[ROW][C]0.26[/C][C]1.09824211769685[/C][C]0.0403770440574777[/C][/ROW]
[ROW][C]0.27[/C][C]1.1065730389433[/C][C]0.0400602397873265[/C][/ROW]
[ROW][C]0.28[/C][C]1.1147474566173[/C][C]0.0401571720194921[/C][/ROW]
[ROW][C]0.29[/C][C]1.1228413985242[/C][C]0.0406223075871407[/C][/ROW]
[ROW][C]0.3[/C][C]1.13091800345995[/C][C]0.04135682361243[/C][/ROW]
[ROW][C]0.31[/C][C]1.1390211048643[/C][C]0.0422210639485799[/C][/ROW]
[ROW][C]0.32[/C][C]1.1471710989656[/C][C]0.0430604949272868[/C][/ROW]
[ROW][C]0.33[/C][C]1.15536378553199[/C][C]0.0437244429175521[/C][/ROW]
[ROW][C]0.34[/C][C]1.16357231511219[/C][C]0.0440934096852875[/C][/ROW]
[ROW][C]0.35[/C][C]1.17175179659343[/C][C]0.0440888712091402[/C][/ROW]
[ROW][C]0.36[/C][C]1.17984566707453[/C][C]0.0436785592646265[/C][/ROW]
[ROW][C]0.37[/C][C]1.18779270701077[/C][C]0.0428690268467705[/C][/ROW]
[ROW][C]0.38[/C][C]1.19553362521755[/C][C]0.0417067450323264[/C][/ROW]
[ROW][C]0.39[/C][C]1.2030163927245[/C][C]0.0402592983290879[/C][/ROW]
[ROW][C]0.4[/C][C]1.21019987332181[/C][C]0.038601440495801[/C][/ROW]
[ROW][C]0.41[/C][C]1.21705567099251[/C][C]0.0368126946502083[/C][/ROW]
[ROW][C]0.42[/C][C]1.22356840224877[/C][C]0.0349628696507108[/C][/ROW]
[ROW][C]0.43[/C][C]1.22973476117599[/C][C]0.0331184196404839[/C][/ROW]
[ROW][C]0.44[/C][C]1.23556178060211[/C][C]0.0313277914995467[/C][/ROW]
[ROW][C]0.45[/C][C]1.24106464227464[/C][C]0.0296308212851928[/C][/ROW]
[ROW][C]0.46[/C][C]1.24626430293255[/C][C]0.0280547808279443[/C][/ROW]
[ROW][C]0.47[/C][C]1.25118512453895[/C][C]0.0266155431909531[/C][/ROW]
[ROW][C]0.48[/C][C]1.25585264809533[/C][C]0.0253181703362557[/C][/ROW]
[ROW][C]0.49[/C][C]1.26029163140613[/C][C]0.024152576019939[/C][/ROW]
[ROW][C]0.5[/C][C]1.26452446644008[/C][C]0.0231022692175839[/C][/ROW]
[ROW][C]0.51[/C][C]1.26857008174573[/C][C]0.0221418694617681[/C][/ROW]
[ROW][C]0.52[/C][C]1.27244340582758[/C][C]0.0212432776028176[/C][/ROW]
[ROW][C]0.53[/C][C]1.27615541606785[/C][C]0.0203799529580872[/C][/ROW]
[ROW][C]0.54[/C][C]1.27971373352544[/C][C]0.0195381841527866[/C][/ROW]
[ROW][C]0.55[/C][C]1.28312366199056[/C][C]0.0186993039004765[/C][/ROW]
[ROW][C]0.56[/C][C]1.28638952488341[/C][C]0.0178656889361984[/C][/ROW]
[ROW][C]0.57[/C][C]1.28951613467881[/C][C]0.0170450766191945[/C][/ROW]
[ROW][C]0.58[/C][C]1.29251023634515[/C][C]0.0162503277022648[/C][/ROW]
[ROW][C]0.59[/C][C]1.29538179062702[/C][C]0.015507888080118[/C][/ROW]
[ROW][C]0.6[/C][C]1.29814499246629[/C][C]0.0148445155636864[/C][/ROW]
[ROW][C]0.61[/C][C]1.30081894286259[/C][C]0.0142853387177156[/C][/ROW]
[ROW][C]0.62[/C][C]1.30342790278206[/C][C]0.0138668912668534[/C][/ROW]
[ROW][C]0.63[/C][C]1.30600105699733[/C][C]0.0136172014300517[/C][/ROW]
[ROW][C]0.64[/C][C]1.30857171342125[/C][C]0.0135579426866906[/C][/ROW]
[ROW][C]0.65[/C][C]1.31117587404332[/C][C]0.0137082936953084[/C][/ROW]
[ROW][C]0.66[/C][C]1.31385015178008[/C][C]0.0140657185853407[/C][/ROW]
[ROW][C]0.67[/C][C]1.31662908301623[/C][C]0.0146115404421228[/C][/ROW]
[ROW][C]0.68[/C][C]1.31954199780409[/C][C]0.0153051615352416[/C][/ROW]
[ROW][C]0.69[/C][C]1.32260974498529[/C][C]0.0160904768004937[/C][/ROW]
[ROW][C]0.7[/C][C]1.32584170162094[/C][C]0.0168918561431922[/C][/ROW]
[ROW][C]0.71[/C][C]1.32923359071786[/C][C]0.0176241841624427[/C][/ROW]
[ROW][C]0.72[/C][C]1.33276665434943[/C][C]0.0182075590851058[/C][/ROW]
[ROW][C]0.73[/C][C]1.33640865764601[/C][C]0.0185652062124561[/C][/ROW]
[ROW][C]0.74[/C][C]1.34011702891327[/C][C]0.01864742097198[/C][/ROW]
[ROW][C]0.75[/C][C]1.34384419054046[/C][C]0.0184343726163407[/C][/ROW]
[ROW][C]0.76[/C][C]1.34754483843362[/C][C]0.0179440093962636[/C][/ROW]
[ROW][C]0.77[/C][C]1.35118462007369[/C][C]0.0172376039885365[/C][/ROW]
[ROW][C]0.78[/C][C]1.3547493643842[/C][C]0.0164227277507902[/C][/ROW]
[ROW][C]0.79[/C][C]1.35825373173975[/C][C]0.015647309005709[/C][/ROW]
[ROW][C]0.8[/C][C]1.36174787650709[/C][C]0.015093606154001[/C][/ROW]
[ROW][C]0.81[/C][C]1.36532048042553[/C][C]0.0149642840643187[/C][/ROW]
[ROW][C]0.82[/C][C]1.36909644323531[/C][C]0.0154427432054126[/C][/ROW]
[ROW][C]0.83[/C][C]1.37322784009205[/C][C]0.0166395590921011[/C][/ROW]
[ROW][C]0.84[/C][C]1.37787776555711[/C][C]0.0185385456922068[/C][/ROW]
[ROW][C]0.85[/C][C]1.38319856019111[/C][C]0.0209864081900252[/C][/ROW]
[ROW][C]0.86[/C][C]1.38930844734601[/C][C]0.0237146264499019[/C][/ROW]
[ROW][C]0.87[/C][C]1.39627293354441[/C][C]0.0263906545328265[/C][/ROW]
[ROW][C]0.88[/C][C]1.40409792697886[/C][C]0.0286861846273079[/C][/ROW]
[ROW][C]0.89[/C][C]1.4127387693973[/C][C]0.0303660376991136[/C][/ROW]
[ROW][C]0.9[/C][C]1.42212277256837[/C][C]0.0313588376338131[/C][/ROW]
[ROW][C]0.91[/C][C]1.43217486126246[/C][C]0.0317672634092099[/C][/ROW]
[ROW][C]0.92[/C][C]1.44283335871692[/C][C]0.0317723435787316[/C][/ROW]
[ROW][C]0.93[/C][C]1.45405585208827[/C][C]0.0314521301986699[/C][/ROW]
[ROW][C]0.94[/C][C]1.46584869553141[/C][C]0.0306604447474706[/C][/ROW]
[ROW][C]0.95[/C][C]1.47838646890876[/C][C]0.0292236937803256[/C][/ROW]
[ROW][C]0.96[/C][C]1.49223558498509[/C][C]0.0276531805871583[/C][/ROW]
[ROW][C]0.97[/C][C]1.50841830691864[/C][C]0.0282639295843504[/C][/ROW]
[ROW][C]0.98[/C][C]1.52758272504575[/C][C]0.0345566416684076[/C][/ROW]
[ROW][C]0.99[/C][C]1.54769973660983[/C][C]0.0461269666117319[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293148&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293148&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
0.010.8699595043034330.00487199824508397
0.020.8730377993267950.00702118417620099
0.030.877226484830410.0099193022059045
0.040.8822759764426560.0127416666329301
0.050.8880154553743860.0153101311142627
0.060.8943419945722680.0179034595317234
0.070.9012339419641280.020888474611648
0.080.9087464910838030.0244677937103842
0.090.9169749893320650.0286090759265187
0.10.9260044384805750.0330847840672056
0.110.9358675692048050.037554480216985
0.120.9465233939883710.0416585159532326
0.130.9578576125746590.0451015998227032
0.140.9696997766995840.0477031054401776
0.150.9818492729696310.0494102910090884
0.160.9941021209953380.0502720803030166
0.171.006272615253070.0504027399163501
0.181.018206959486820.0499417055769969
0.191.029789031067210.0490338918102243
0.21.040940343178410.0478117036810915
0.211.051616856112070.0463985950655885
0.221.061804812112980.0449092714912014
0.231.071516781874930.0434578171905343
0.241.08078812655650.0421495055518442
0.251.089673416151210.0410929513829429
0.261.098242117696850.0403770440574777
0.271.10657303894330.0400602397873265
0.281.11474745661730.0401571720194921
0.291.12284139852420.0406223075871407
0.31.130918003459950.04135682361243
0.311.13902110486430.0422210639485799
0.321.14717109896560.0430604949272868
0.331.155363785531990.0437244429175521
0.341.163572315112190.0440934096852875
0.351.171751796593430.0440888712091402
0.361.179845667074530.0436785592646265
0.371.187792707010770.0428690268467705
0.381.195533625217550.0417067450323264
0.391.20301639272450.0402592983290879
0.41.210199873321810.038601440495801
0.411.217055670992510.0368126946502083
0.421.223568402248770.0349628696507108
0.431.229734761175990.0331184196404839
0.441.235561780602110.0313277914995467
0.451.241064642274640.0296308212851928
0.461.246264302932550.0280547808279443
0.471.251185124538950.0266155431909531
0.481.255852648095330.0253181703362557
0.491.260291631406130.024152576019939
0.51.264524466440080.0231022692175839
0.511.268570081745730.0221418694617681
0.521.272443405827580.0212432776028176
0.531.276155416067850.0203799529580872
0.541.279713733525440.0195381841527866
0.551.283123661990560.0186993039004765
0.561.286389524883410.0178656889361984
0.571.289516134678810.0170450766191945
0.581.292510236345150.0162503277022648
0.591.295381790627020.015507888080118
0.61.298144992466290.0148445155636864
0.611.300818942862590.0142853387177156
0.621.303427902782060.0138668912668534
0.631.306001056997330.0136172014300517
0.641.308571713421250.0135579426866906
0.651.311175874043320.0137082936953084
0.661.313850151780080.0140657185853407
0.671.316629083016230.0146115404421228
0.681.319541997804090.0153051615352416
0.691.322609744985290.0160904768004937
0.71.325841701620940.0168918561431922
0.711.329233590717860.0176241841624427
0.721.332766654349430.0182075590851058
0.731.336408657646010.0185652062124561
0.741.340117028913270.01864742097198
0.751.343844190540460.0184343726163407
0.761.347544838433620.0179440093962636
0.771.351184620073690.0172376039885365
0.781.35474936438420.0164227277507902
0.791.358253731739750.015647309005709
0.81.361747876507090.015093606154001
0.811.365320480425530.0149642840643187
0.821.369096443235310.0154427432054126
0.831.373227840092050.0166395590921011
0.841.377877765557110.0185385456922068
0.851.383198560191110.0209864081900252
0.861.389308447346010.0237146264499019
0.871.396272933544410.0263906545328265
0.881.404097926978860.0286861846273079
0.891.41273876939730.0303660376991136
0.91.422122772568370.0313588376338131
0.911.432174861262460.0317672634092099
0.921.442833358716920.0317723435787316
0.931.454055852088270.0314521301986699
0.941.465848695531410.0306604447474706
0.951.478386468908760.0292236937803256
0.961.492235584985090.0276531805871583
0.971.508418306918640.0282639295843504
0.981.527582725045750.0345566416684076
0.991.547699736609830.0461269666117319


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.99'
par1 <- '0.1'
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')