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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 computationSat, 09 Jan 2016 15:28:48 +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/Jan/09/t1452353805bd6lgk0pl8946lf.htm/, Retrieved Sun, 05 May 2024 18:14:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=287592, Retrieved Sun, 05 May 2024 18:14:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [OPGAVE 3 BOXPLOT ...] [2015-10-10 08:38:48] [dd3fba143f77b32339110f075cd1346d]
- RMP     [Harrell-Davis Quantiles] [Alexander Vandenb...] [2016-01-09 15:28:48] [48da048a5e5e3f4e8c34faa6148f9354] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
78,46
78,59
81,37
83,61
84,65
84,56
83,85
84,08
85,41
85,75
86,38
88,87
90,37
92,21
95,75
97,29
98,29
99,51
99,04
98,9
100,74
100,3
101,68
101,3
103,13
104,17
105,98
106,25
104,01
101,68
101,93
104,41
105,51
104,71
103,14
102,66
102,68
101,89
101,37
101,16
99,34
99,35
99,88
99,31
99,91
98,39
98,02
98,7
98,01
98,42
98,2
93,5
93,17
93,42
93,13
92,31
92,09
92,62
91,43
89,38

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=287592&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=287592&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=287592&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0178.69189783872590.734724767859601
0.0279.19004763922631.48820298710819
0.0379.91133987340481.99933771574646
0.0480.74709057869032.1507749329894
0.0581.58188664960552.01841432260004
0.0682.33441463594411.74455999180027
0.0782.96950653716241.45489292328689
0.0883.4897768571911.23178375856876
0.0983.91984956863321.11482702955506
0.184.29215108100171.10837996082312
0.1184.63767499559551.19304769748358
0.1284.98148848037781.34172193267332
0.1385.34139691474561.52911149702262
0.1485.72822442162151.73395670109734
0.1586.14671082294891.9367179959661
0.1686.59655569947722.12018598943337
0.1787.07347350079912.26999720782654
0.1887.57026095335942.37539572904704
0.1988.07788973635792.43050097801561
0.288.58659815084862.4342166852146
0.2189.08691680457362.39046365163261
0.2289.57054886445042.3069307304986
0.2390.03103740917182.19415837378206
0.2490.46418135785332.06431479017915
0.2590.86819487918481.92998421239744
0.2691.2436332849461.80346946882796
0.2791.59312633551631.69587891889167
0.2891.92096746847051.61625841189309
0.2992.23260752279051.57082139461828
0.392.53409785819581.56263259095609
0.3192.83152352502131.59055047440583
0.3293.13046400013841.64936525051979
0.3393.43551700691391.73088964773808
0.3493.74991886664011.82488689974828
0.3594.07529090160131.92010485598983
0.3694.41153404435412.00558985413937
0.3794.75688228770782.07141148367893
0.3895.10811048188782.10979096865988
0.3995.46087508564282.11519200054892
0.495.81015057054142.08528605254752
0.4196.15071229156712.02058586135784
0.4296.47761128488041.92475728754844
0.4396.78658895431291.80342415876399
0.4497.07438971196291.66398720848416
0.4597.33894555783571.51477209265258
0.4697.57942541338851.36359089813423
0.4797.79616041784351.2176737368308
0.4897.99047130752151.08314827827426
0.4998.16443328937160.96415347465363
0.598.32061660291990.862992724083372
0.5198.46183762874120.780697941245952
0.5298.59094736197170.71636313551223
0.5398.71067334727440.668680901347561
0.5498.82351992406110.635271011453211
0.5598.93172174387630.614095360010164
0.5699.0372383368610.603215137785115
0.5799.14177369904210.601168885270761
0.5899.24680448256030.606664392573997
0.5999.35360291005280.618816150201901
0.699.46324516306010.636740234597981
0.6199.57660169957780.659109305996019
0.6299.69431170968380.684524211730124
0.6399.8167488021370.711314227195471
0.6499.94398830943360.737455576761297
0.65100.0757878415740.760854258841107
0.66100.2115917379590.779335771540738
0.67100.350566993530.791511372656134
0.68100.4916734933990.796044957200776
0.69100.6337656602180.792475514146963
0.7100.7757167707180.781187423843269
0.71100.916552195590.763381662140042
0.72101.0555745937260.740978078788231
0.73101.1924634115070.71656257873872
0.74101.3273333455030.692885053984163
0.75101.4607417034790.67275009367632
0.76101.5936422363010.658523829321526
0.77101.727291754940.651733966768191
0.78101.8631238615780.652809280946582
0.79102.0026093148170.661065506434013
0.8102.147123156640.675035930145201
0.81102.297834179070.692654051466315
0.82102.4556240414490.711868371572579
0.83102.6210351220770.73085053379
0.84102.7942432378810.747802781984811
0.85102.9750580331750.761129353746507
0.86103.162969952330.769220062045368
0.87103.3572801423270.770430426727096
0.88103.5573515397630.764012775033935
0.89103.7629850864430.750617827362412
0.9103.9748421180110.733449255077557
0.91104.1947161568450.717987029901952
0.92104.4253597255790.710361925456435
0.93104.6695881102870.712630108506539
0.94104.9286011945060.718170874095266
0.95105.1998723021920.710425364644446
0.96105.4753196910390.668547676129274
0.97105.7404133510240.579014874115364
0.98105.9743668479680.451003481986397
0.99106.1518878334940.328216441585189

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 78.6918978387259 & 0.734724767859601 \tabularnewline
0.02 & 79.1900476392263 & 1.48820298710819 \tabularnewline
0.03 & 79.9113398734048 & 1.99933771574646 \tabularnewline
0.04 & 80.7470905786903 & 2.1507749329894 \tabularnewline
0.05 & 81.5818866496055 & 2.01841432260004 \tabularnewline
0.06 & 82.3344146359441 & 1.74455999180027 \tabularnewline
0.07 & 82.9695065371624 & 1.45489292328689 \tabularnewline
0.08 & 83.489776857191 & 1.23178375856876 \tabularnewline
0.09 & 83.9198495686332 & 1.11482702955506 \tabularnewline
0.1 & 84.2921510810017 & 1.10837996082312 \tabularnewline
0.11 & 84.6376749955955 & 1.19304769748358 \tabularnewline
0.12 & 84.9814884803778 & 1.34172193267332 \tabularnewline
0.13 & 85.3413969147456 & 1.52911149702262 \tabularnewline
0.14 & 85.7282244216215 & 1.73395670109734 \tabularnewline
0.15 & 86.1467108229489 & 1.9367179959661 \tabularnewline
0.16 & 86.5965556994772 & 2.12018598943337 \tabularnewline
0.17 & 87.0734735007991 & 2.26999720782654 \tabularnewline
0.18 & 87.5702609533594 & 2.37539572904704 \tabularnewline
0.19 & 88.0778897363579 & 2.43050097801561 \tabularnewline
0.2 & 88.5865981508486 & 2.4342166852146 \tabularnewline
0.21 & 89.0869168045736 & 2.39046365163261 \tabularnewline
0.22 & 89.5705488644504 & 2.3069307304986 \tabularnewline
0.23 & 90.0310374091718 & 2.19415837378206 \tabularnewline
0.24 & 90.4641813578533 & 2.06431479017915 \tabularnewline
0.25 & 90.8681948791848 & 1.92998421239744 \tabularnewline
0.26 & 91.243633284946 & 1.80346946882796 \tabularnewline
0.27 & 91.5931263355163 & 1.69587891889167 \tabularnewline
0.28 & 91.9209674684705 & 1.61625841189309 \tabularnewline
0.29 & 92.2326075227905 & 1.57082139461828 \tabularnewline
0.3 & 92.5340978581958 & 1.56263259095609 \tabularnewline
0.31 & 92.8315235250213 & 1.59055047440583 \tabularnewline
0.32 & 93.1304640001384 & 1.64936525051979 \tabularnewline
0.33 & 93.4355170069139 & 1.73088964773808 \tabularnewline
0.34 & 93.7499188666401 & 1.82488689974828 \tabularnewline
0.35 & 94.0752909016013 & 1.92010485598983 \tabularnewline
0.36 & 94.4115340443541 & 2.00558985413937 \tabularnewline
0.37 & 94.7568822877078 & 2.07141148367893 \tabularnewline
0.38 & 95.1081104818878 & 2.10979096865988 \tabularnewline
0.39 & 95.4608750856428 & 2.11519200054892 \tabularnewline
0.4 & 95.8101505705414 & 2.08528605254752 \tabularnewline
0.41 & 96.1507122915671 & 2.02058586135784 \tabularnewline
0.42 & 96.4776112848804 & 1.92475728754844 \tabularnewline
0.43 & 96.7865889543129 & 1.80342415876399 \tabularnewline
0.44 & 97.0743897119629 & 1.66398720848416 \tabularnewline
0.45 & 97.3389455578357 & 1.51477209265258 \tabularnewline
0.46 & 97.5794254133885 & 1.36359089813423 \tabularnewline
0.47 & 97.7961604178435 & 1.2176737368308 \tabularnewline
0.48 & 97.9904713075215 & 1.08314827827426 \tabularnewline
0.49 & 98.1644332893716 & 0.96415347465363 \tabularnewline
0.5 & 98.3206166029199 & 0.862992724083372 \tabularnewline
0.51 & 98.4618376287412 & 0.780697941245952 \tabularnewline
0.52 & 98.5909473619717 & 0.71636313551223 \tabularnewline
0.53 & 98.7106733472744 & 0.668680901347561 \tabularnewline
0.54 & 98.8235199240611 & 0.635271011453211 \tabularnewline
0.55 & 98.9317217438763 & 0.614095360010164 \tabularnewline
0.56 & 99.037238336861 & 0.603215137785115 \tabularnewline
0.57 & 99.1417736990421 & 0.601168885270761 \tabularnewline
0.58 & 99.2468044825603 & 0.606664392573997 \tabularnewline
0.59 & 99.3536029100528 & 0.618816150201901 \tabularnewline
0.6 & 99.4632451630601 & 0.636740234597981 \tabularnewline
0.61 & 99.5766016995778 & 0.659109305996019 \tabularnewline
0.62 & 99.6943117096838 & 0.684524211730124 \tabularnewline
0.63 & 99.816748802137 & 0.711314227195471 \tabularnewline
0.64 & 99.9439883094336 & 0.737455576761297 \tabularnewline
0.65 & 100.075787841574 & 0.760854258841107 \tabularnewline
0.66 & 100.211591737959 & 0.779335771540738 \tabularnewline
0.67 & 100.35056699353 & 0.791511372656134 \tabularnewline
0.68 & 100.491673493399 & 0.796044957200776 \tabularnewline
0.69 & 100.633765660218 & 0.792475514146963 \tabularnewline
0.7 & 100.775716770718 & 0.781187423843269 \tabularnewline
0.71 & 100.91655219559 & 0.763381662140042 \tabularnewline
0.72 & 101.055574593726 & 0.740978078788231 \tabularnewline
0.73 & 101.192463411507 & 0.71656257873872 \tabularnewline
0.74 & 101.327333345503 & 0.692885053984163 \tabularnewline
0.75 & 101.460741703479 & 0.67275009367632 \tabularnewline
0.76 & 101.593642236301 & 0.658523829321526 \tabularnewline
0.77 & 101.72729175494 & 0.651733966768191 \tabularnewline
0.78 & 101.863123861578 & 0.652809280946582 \tabularnewline
0.79 & 102.002609314817 & 0.661065506434013 \tabularnewline
0.8 & 102.14712315664 & 0.675035930145201 \tabularnewline
0.81 & 102.29783417907 & 0.692654051466315 \tabularnewline
0.82 & 102.455624041449 & 0.711868371572579 \tabularnewline
0.83 & 102.621035122077 & 0.73085053379 \tabularnewline
0.84 & 102.794243237881 & 0.747802781984811 \tabularnewline
0.85 & 102.975058033175 & 0.761129353746507 \tabularnewline
0.86 & 103.16296995233 & 0.769220062045368 \tabularnewline
0.87 & 103.357280142327 & 0.770430426727096 \tabularnewline
0.88 & 103.557351539763 & 0.764012775033935 \tabularnewline
0.89 & 103.762985086443 & 0.750617827362412 \tabularnewline
0.9 & 103.974842118011 & 0.733449255077557 \tabularnewline
0.91 & 104.194716156845 & 0.717987029901952 \tabularnewline
0.92 & 104.425359725579 & 0.710361925456435 \tabularnewline
0.93 & 104.669588110287 & 0.712630108506539 \tabularnewline
0.94 & 104.928601194506 & 0.718170874095266 \tabularnewline
0.95 & 105.199872302192 & 0.710425364644446 \tabularnewline
0.96 & 105.475319691039 & 0.668547676129274 \tabularnewline
0.97 & 105.740413351024 & 0.579014874115364 \tabularnewline
0.98 & 105.974366847968 & 0.451003481986397 \tabularnewline
0.99 & 106.151887833494 & 0.328216441585189 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=287592&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]78.6918978387259[/C][C]0.734724767859601[/C][/ROW]
[ROW][C]0.02[/C][C]79.1900476392263[/C][C]1.48820298710819[/C][/ROW]
[ROW][C]0.03[/C][C]79.9113398734048[/C][C]1.99933771574646[/C][/ROW]
[ROW][C]0.04[/C][C]80.7470905786903[/C][C]2.1507749329894[/C][/ROW]
[ROW][C]0.05[/C][C]81.5818866496055[/C][C]2.01841432260004[/C][/ROW]
[ROW][C]0.06[/C][C]82.3344146359441[/C][C]1.74455999180027[/C][/ROW]
[ROW][C]0.07[/C][C]82.9695065371624[/C][C]1.45489292328689[/C][/ROW]
[ROW][C]0.08[/C][C]83.489776857191[/C][C]1.23178375856876[/C][/ROW]
[ROW][C]0.09[/C][C]83.9198495686332[/C][C]1.11482702955506[/C][/ROW]
[ROW][C]0.1[/C][C]84.2921510810017[/C][C]1.10837996082312[/C][/ROW]
[ROW][C]0.11[/C][C]84.6376749955955[/C][C]1.19304769748358[/C][/ROW]
[ROW][C]0.12[/C][C]84.9814884803778[/C][C]1.34172193267332[/C][/ROW]
[ROW][C]0.13[/C][C]85.3413969147456[/C][C]1.52911149702262[/C][/ROW]
[ROW][C]0.14[/C][C]85.7282244216215[/C][C]1.73395670109734[/C][/ROW]
[ROW][C]0.15[/C][C]86.1467108229489[/C][C]1.9367179959661[/C][/ROW]
[ROW][C]0.16[/C][C]86.5965556994772[/C][C]2.12018598943337[/C][/ROW]
[ROW][C]0.17[/C][C]87.0734735007991[/C][C]2.26999720782654[/C][/ROW]
[ROW][C]0.18[/C][C]87.5702609533594[/C][C]2.37539572904704[/C][/ROW]
[ROW][C]0.19[/C][C]88.0778897363579[/C][C]2.43050097801561[/C][/ROW]
[ROW][C]0.2[/C][C]88.5865981508486[/C][C]2.4342166852146[/C][/ROW]
[ROW][C]0.21[/C][C]89.0869168045736[/C][C]2.39046365163261[/C][/ROW]
[ROW][C]0.22[/C][C]89.5705488644504[/C][C]2.3069307304986[/C][/ROW]
[ROW][C]0.23[/C][C]90.0310374091718[/C][C]2.19415837378206[/C][/ROW]
[ROW][C]0.24[/C][C]90.4641813578533[/C][C]2.06431479017915[/C][/ROW]
[ROW][C]0.25[/C][C]90.8681948791848[/C][C]1.92998421239744[/C][/ROW]
[ROW][C]0.26[/C][C]91.243633284946[/C][C]1.80346946882796[/C][/ROW]
[ROW][C]0.27[/C][C]91.5931263355163[/C][C]1.69587891889167[/C][/ROW]
[ROW][C]0.28[/C][C]91.9209674684705[/C][C]1.61625841189309[/C][/ROW]
[ROW][C]0.29[/C][C]92.2326075227905[/C][C]1.57082139461828[/C][/ROW]
[ROW][C]0.3[/C][C]92.5340978581958[/C][C]1.56263259095609[/C][/ROW]
[ROW][C]0.31[/C][C]92.8315235250213[/C][C]1.59055047440583[/C][/ROW]
[ROW][C]0.32[/C][C]93.1304640001384[/C][C]1.64936525051979[/C][/ROW]
[ROW][C]0.33[/C][C]93.4355170069139[/C][C]1.73088964773808[/C][/ROW]
[ROW][C]0.34[/C][C]93.7499188666401[/C][C]1.82488689974828[/C][/ROW]
[ROW][C]0.35[/C][C]94.0752909016013[/C][C]1.92010485598983[/C][/ROW]
[ROW][C]0.36[/C][C]94.4115340443541[/C][C]2.00558985413937[/C][/ROW]
[ROW][C]0.37[/C][C]94.7568822877078[/C][C]2.07141148367893[/C][/ROW]
[ROW][C]0.38[/C][C]95.1081104818878[/C][C]2.10979096865988[/C][/ROW]
[ROW][C]0.39[/C][C]95.4608750856428[/C][C]2.11519200054892[/C][/ROW]
[ROW][C]0.4[/C][C]95.8101505705414[/C][C]2.08528605254752[/C][/ROW]
[ROW][C]0.41[/C][C]96.1507122915671[/C][C]2.02058586135784[/C][/ROW]
[ROW][C]0.42[/C][C]96.4776112848804[/C][C]1.92475728754844[/C][/ROW]
[ROW][C]0.43[/C][C]96.7865889543129[/C][C]1.80342415876399[/C][/ROW]
[ROW][C]0.44[/C][C]97.0743897119629[/C][C]1.66398720848416[/C][/ROW]
[ROW][C]0.45[/C][C]97.3389455578357[/C][C]1.51477209265258[/C][/ROW]
[ROW][C]0.46[/C][C]97.5794254133885[/C][C]1.36359089813423[/C][/ROW]
[ROW][C]0.47[/C][C]97.7961604178435[/C][C]1.2176737368308[/C][/ROW]
[ROW][C]0.48[/C][C]97.9904713075215[/C][C]1.08314827827426[/C][/ROW]
[ROW][C]0.49[/C][C]98.1644332893716[/C][C]0.96415347465363[/C][/ROW]
[ROW][C]0.5[/C][C]98.3206166029199[/C][C]0.862992724083372[/C][/ROW]
[ROW][C]0.51[/C][C]98.4618376287412[/C][C]0.780697941245952[/C][/ROW]
[ROW][C]0.52[/C][C]98.5909473619717[/C][C]0.71636313551223[/C][/ROW]
[ROW][C]0.53[/C][C]98.7106733472744[/C][C]0.668680901347561[/C][/ROW]
[ROW][C]0.54[/C][C]98.8235199240611[/C][C]0.635271011453211[/C][/ROW]
[ROW][C]0.55[/C][C]98.9317217438763[/C][C]0.614095360010164[/C][/ROW]
[ROW][C]0.56[/C][C]99.037238336861[/C][C]0.603215137785115[/C][/ROW]
[ROW][C]0.57[/C][C]99.1417736990421[/C][C]0.601168885270761[/C][/ROW]
[ROW][C]0.58[/C][C]99.2468044825603[/C][C]0.606664392573997[/C][/ROW]
[ROW][C]0.59[/C][C]99.3536029100528[/C][C]0.618816150201901[/C][/ROW]
[ROW][C]0.6[/C][C]99.4632451630601[/C][C]0.636740234597981[/C][/ROW]
[ROW][C]0.61[/C][C]99.5766016995778[/C][C]0.659109305996019[/C][/ROW]
[ROW][C]0.62[/C][C]99.6943117096838[/C][C]0.684524211730124[/C][/ROW]
[ROW][C]0.63[/C][C]99.816748802137[/C][C]0.711314227195471[/C][/ROW]
[ROW][C]0.64[/C][C]99.9439883094336[/C][C]0.737455576761297[/C][/ROW]
[ROW][C]0.65[/C][C]100.075787841574[/C][C]0.760854258841107[/C][/ROW]
[ROW][C]0.66[/C][C]100.211591737959[/C][C]0.779335771540738[/C][/ROW]
[ROW][C]0.67[/C][C]100.35056699353[/C][C]0.791511372656134[/C][/ROW]
[ROW][C]0.68[/C][C]100.491673493399[/C][C]0.796044957200776[/C][/ROW]
[ROW][C]0.69[/C][C]100.633765660218[/C][C]0.792475514146963[/C][/ROW]
[ROW][C]0.7[/C][C]100.775716770718[/C][C]0.781187423843269[/C][/ROW]
[ROW][C]0.71[/C][C]100.91655219559[/C][C]0.763381662140042[/C][/ROW]
[ROW][C]0.72[/C][C]101.055574593726[/C][C]0.740978078788231[/C][/ROW]
[ROW][C]0.73[/C][C]101.192463411507[/C][C]0.71656257873872[/C][/ROW]
[ROW][C]0.74[/C][C]101.327333345503[/C][C]0.692885053984163[/C][/ROW]
[ROW][C]0.75[/C][C]101.460741703479[/C][C]0.67275009367632[/C][/ROW]
[ROW][C]0.76[/C][C]101.593642236301[/C][C]0.658523829321526[/C][/ROW]
[ROW][C]0.77[/C][C]101.72729175494[/C][C]0.651733966768191[/C][/ROW]
[ROW][C]0.78[/C][C]101.863123861578[/C][C]0.652809280946582[/C][/ROW]
[ROW][C]0.79[/C][C]102.002609314817[/C][C]0.661065506434013[/C][/ROW]
[ROW][C]0.8[/C][C]102.14712315664[/C][C]0.675035930145201[/C][/ROW]
[ROW][C]0.81[/C][C]102.29783417907[/C][C]0.692654051466315[/C][/ROW]
[ROW][C]0.82[/C][C]102.455624041449[/C][C]0.711868371572579[/C][/ROW]
[ROW][C]0.83[/C][C]102.621035122077[/C][C]0.73085053379[/C][/ROW]
[ROW][C]0.84[/C][C]102.794243237881[/C][C]0.747802781984811[/C][/ROW]
[ROW][C]0.85[/C][C]102.975058033175[/C][C]0.761129353746507[/C][/ROW]
[ROW][C]0.86[/C][C]103.16296995233[/C][C]0.769220062045368[/C][/ROW]
[ROW][C]0.87[/C][C]103.357280142327[/C][C]0.770430426727096[/C][/ROW]
[ROW][C]0.88[/C][C]103.557351539763[/C][C]0.764012775033935[/C][/ROW]
[ROW][C]0.89[/C][C]103.762985086443[/C][C]0.750617827362412[/C][/ROW]
[ROW][C]0.9[/C][C]103.974842118011[/C][C]0.733449255077557[/C][/ROW]
[ROW][C]0.91[/C][C]104.194716156845[/C][C]0.717987029901952[/C][/ROW]
[ROW][C]0.92[/C][C]104.425359725579[/C][C]0.710361925456435[/C][/ROW]
[ROW][C]0.93[/C][C]104.669588110287[/C][C]0.712630108506539[/C][/ROW]
[ROW][C]0.94[/C][C]104.928601194506[/C][C]0.718170874095266[/C][/ROW]
[ROW][C]0.95[/C][C]105.199872302192[/C][C]0.710425364644446[/C][/ROW]
[ROW][C]0.96[/C][C]105.475319691039[/C][C]0.668547676129274[/C][/ROW]
[ROW][C]0.97[/C][C]105.740413351024[/C][C]0.579014874115364[/C][/ROW]
[ROW][C]0.98[/C][C]105.974366847968[/C][C]0.451003481986397[/C][/ROW]
[ROW][C]0.99[/C][C]106.151887833494[/C][C]0.328216441585189[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=287592&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=287592&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
0.0178.69189783872590.734724767859601
0.0279.19004763922631.48820298710819
0.0379.91133987340481.99933771574646
0.0480.74709057869032.1507749329894
0.0581.58188664960552.01841432260004
0.0682.33441463594411.74455999180027
0.0782.96950653716241.45489292328689
0.0883.4897768571911.23178375856876
0.0983.91984956863321.11482702955506
0.184.29215108100171.10837996082312
0.1184.63767499559551.19304769748358
0.1284.98148848037781.34172193267332
0.1385.34139691474561.52911149702262
0.1485.72822442162151.73395670109734
0.1586.14671082294891.9367179959661
0.1686.59655569947722.12018598943337
0.1787.07347350079912.26999720782654
0.1887.57026095335942.37539572904704
0.1988.07788973635792.43050097801561
0.288.58659815084862.4342166852146
0.2189.08691680457362.39046365163261
0.2289.57054886445042.3069307304986
0.2390.03103740917182.19415837378206
0.2490.46418135785332.06431479017915
0.2590.86819487918481.92998421239744
0.2691.2436332849461.80346946882796
0.2791.59312633551631.69587891889167
0.2891.92096746847051.61625841189309
0.2992.23260752279051.57082139461828
0.392.53409785819581.56263259095609
0.3192.83152352502131.59055047440583
0.3293.13046400013841.64936525051979
0.3393.43551700691391.73088964773808
0.3493.74991886664011.82488689974828
0.3594.07529090160131.92010485598983
0.3694.41153404435412.00558985413937
0.3794.75688228770782.07141148367893
0.3895.10811048188782.10979096865988
0.3995.46087508564282.11519200054892
0.495.81015057054142.08528605254752
0.4196.15071229156712.02058586135784
0.4296.47761128488041.92475728754844
0.4396.78658895431291.80342415876399
0.4497.07438971196291.66398720848416
0.4597.33894555783571.51477209265258
0.4697.57942541338851.36359089813423
0.4797.79616041784351.2176737368308
0.4897.99047130752151.08314827827426
0.4998.16443328937160.96415347465363
0.598.32061660291990.862992724083372
0.5198.46183762874120.780697941245952
0.5298.59094736197170.71636313551223
0.5398.71067334727440.668680901347561
0.5498.82351992406110.635271011453211
0.5598.93172174387630.614095360010164
0.5699.0372383368610.603215137785115
0.5799.14177369904210.601168885270761
0.5899.24680448256030.606664392573997
0.5999.35360291005280.618816150201901
0.699.46324516306010.636740234597981
0.6199.57660169957780.659109305996019
0.6299.69431170968380.684524211730124
0.6399.8167488021370.711314227195471
0.6499.94398830943360.737455576761297
0.65100.0757878415740.760854258841107
0.66100.2115917379590.779335771540738
0.67100.350566993530.791511372656134
0.68100.4916734933990.796044957200776
0.69100.6337656602180.792475514146963
0.7100.7757167707180.781187423843269
0.71100.916552195590.763381662140042
0.72101.0555745937260.740978078788231
0.73101.1924634115070.71656257873872
0.74101.3273333455030.692885053984163
0.75101.4607417034790.67275009367632
0.76101.5936422363010.658523829321526
0.77101.727291754940.651733966768191
0.78101.8631238615780.652809280946582
0.79102.0026093148170.661065506434013
0.8102.147123156640.675035930145201
0.81102.297834179070.692654051466315
0.82102.4556240414490.711868371572579
0.83102.6210351220770.73085053379
0.84102.7942432378810.747802781984811
0.85102.9750580331750.761129353746507
0.86103.162969952330.769220062045368
0.87103.3572801423270.770430426727096
0.88103.5573515397630.764012775033935
0.89103.7629850864430.750617827362412
0.9103.9748421180110.733449255077557
0.91104.1947161568450.717987029901952
0.92104.4253597255790.710361925456435
0.93104.6695881102870.712630108506539
0.94104.9286011945060.718170874095266
0.95105.1998723021920.710425364644446
0.96105.4753196910390.668547676129274
0.97105.7404133510240.579014874115364
0.98105.9743668479680.451003481986397
0.99106.1518878334940.328216441585189


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')