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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 computationWed, 22 Feb 2012 17:21:21 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/22/t1329949299sa9tmg5u40obz29.htm/, Retrieved Mon, 06 May 2024 23:53:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163245, Retrieved Mon, 06 May 2024 23:53:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68

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] [Recreatie en cultuur] [2012-02-22 22:21:21] [41122821deba20d6652b4f9148627213] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100,17
102,01
100,3
99,94
100,16
100,18
99,98
100,04
100,05
100,11
100,11
101,03
100,84
102,68
101,27
100,28
100,82
100,87
101,23
101,09
101,22
101,33
101,3
102,39
101,69
103,75
102,99
100,8
102,21
102,45
102,49
102,4
102,99
103,19
103,35
104,44
103,42
105,81
104,25
103,78
104,53
105,01
104,83
104,55
105,16
105,06
105,2
105,87
105,41
107,89
106,06
105,5
106,71
106,34
106,11
106,15
106,61
106,63
106,27
105,59
107,09
108,53
108,01
106,52
107,27
107,58
107,36
107,23
107,54
107,64
108,23
108,42

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163245&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163245&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163245&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.95548500002220.0427767466295906
0.0299.98068528890240.047906954464505
0.03100.0088987060460.0511283032376212
0.04100.0363598757670.0529829419099505
0.05100.0622452963670.0559927697764869
0.06100.0873098402980.0621015011923343
0.07100.1130032551930.0732800917109913
0.08100.141105142410.0915782071312836
0.09100.1735303502390.117719094769499
0.1100.212086870350.150817248567721
0.11100.2581554982540.188411355902573
0.12100.3123792067210.226651376519693
0.13100.3744791889520.261150994042179
0.14100.4432735228880.288722207921976
0.15100.516900799740.306803572059418
0.16100.5931826391340.315277932808998
0.17100.6700223018270.315526381063659
0.18100.7457404195930.310078659218217
0.19100.8192842565680.302377537501881
0.2100.8902941814960.295303839758716
0.21100.9590502424670.291814103979163
0.22101.0263413544010.293624987161963
0.23101.0932992795530.302045549307808
0.24101.1612271478890.317397639756887
0.25101.2314379086510.339265904372264
0.26101.3051091167320.366569729295395
0.27101.383158838590.397713908239523
0.28101.4661506017430.430241140731058
0.29101.5542385416730.461799193490108
0.3101.6471632836240.490014875973323
0.31101.7443032055260.513192611436549
0.32101.8447759365130.530300494992185
0.33101.9475744880310.541170777695269
0.34102.0517148572710.546619514774996
0.35102.1563697651840.54794091565072
0.36102.2609669828210.547169280225668
0.37102.3652391404610.546256391559893
0.38102.4692224165830.546805963931871
0.39102.5732111854540.550298272957891
0.4102.6776823107250.557181354059844
0.41102.7832052675560.567577059853034
0.42102.890352933190.581079782586195
0.43102.9996239698710.596984569071658
0.44103.1113829098210.614228404949805
0.45103.2258198285340.631628278037146
0.46103.3429287443430.648293934807529
0.47103.4625027541120.662815796749507
0.48103.5841439517420.674335981632362
0.49103.7072866360970.681954959801523
0.5103.8312325164650.684956924463919
0.51103.9551961983580.682910495014514
0.52104.0783582107820.675716525284299
0.53104.1999215675530.663776492512767
0.54104.3191668213180.647707598471434
0.55104.4355001797740.628276907150969
0.56104.5484897061820.606725666968939
0.57104.6578858680270.584059062081584
0.58104.7636244858760.561520577893188
0.59104.8658121497930.539866459891248
0.6104.9646961235610.52014256025649
0.61105.0606224454740.50252254172585
0.62105.1539872390690.48733021197983
0.63105.2451870843880.474411038712197
0.64105.3345745752470.463405301843359
0.65105.4224247826790.45373404644387
0.66105.5089171602170.444592856742222
0.67105.5941354630940.435515965716382
0.68105.6780856894510.425800334773718
0.69105.7607292732850.41540963792259
0.7105.8420263007710.404484386193739
0.71105.9219819166420.393070551934172
0.72106.0006886674270.381998687739312
0.73106.0783582627150.37183559495266
0.74106.1553377071410.363437299298282
0.75106.2321063453730.357282798859468
0.76106.3092516116710.354128996336944
0.77106.3874222720970.353916765900573
0.78106.467259474480.356633032077705
0.79106.5493091403440.361598968521152
0.8106.6339248789840.367841221884468
0.81106.7211780248040.373645325783965
0.82106.8107980737780.377246702400678
0.83106.9021689274470.376869267902341
0.84106.9944006017580.371249909189436
0.85107.0864815969370.359980620881835
0.86107.1774966677790.343672043972674
0.87107.266873602260.324224526509849
0.88107.3546064435570.304210074148376
0.89107.4413956701020.286558921362237
0.9107.5286514858160.273992664211955
0.91107.6183273808090.26801531452855
0.92107.7125861713310.268125058347663
0.93107.8133368816960.271749330560898
0.94107.9216946877690.274833839784341
0.95108.0373967366740.272709427529067
0.96108.1581716910490.260307992590011
0.97108.2789946112260.232260811988073
0.98108.3910067214530.186736278248239
0.99108.4802818880080.136128991117183

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.9554850000222 & 0.0427767466295906 \tabularnewline
0.02 & 99.9806852889024 & 0.047906954464505 \tabularnewline
0.03 & 100.008898706046 & 0.0511283032376212 \tabularnewline
0.04 & 100.036359875767 & 0.0529829419099505 \tabularnewline
0.05 & 100.062245296367 & 0.0559927697764869 \tabularnewline
0.06 & 100.087309840298 & 0.0621015011923343 \tabularnewline
0.07 & 100.113003255193 & 0.0732800917109913 \tabularnewline
0.08 & 100.14110514241 & 0.0915782071312836 \tabularnewline
0.09 & 100.173530350239 & 0.117719094769499 \tabularnewline
0.1 & 100.21208687035 & 0.150817248567721 \tabularnewline
0.11 & 100.258155498254 & 0.188411355902573 \tabularnewline
0.12 & 100.312379206721 & 0.226651376519693 \tabularnewline
0.13 & 100.374479188952 & 0.261150994042179 \tabularnewline
0.14 & 100.443273522888 & 0.288722207921976 \tabularnewline
0.15 & 100.51690079974 & 0.306803572059418 \tabularnewline
0.16 & 100.593182639134 & 0.315277932808998 \tabularnewline
0.17 & 100.670022301827 & 0.315526381063659 \tabularnewline
0.18 & 100.745740419593 & 0.310078659218217 \tabularnewline
0.19 & 100.819284256568 & 0.302377537501881 \tabularnewline
0.2 & 100.890294181496 & 0.295303839758716 \tabularnewline
0.21 & 100.959050242467 & 0.291814103979163 \tabularnewline
0.22 & 101.026341354401 & 0.293624987161963 \tabularnewline
0.23 & 101.093299279553 & 0.302045549307808 \tabularnewline
0.24 & 101.161227147889 & 0.317397639756887 \tabularnewline
0.25 & 101.231437908651 & 0.339265904372264 \tabularnewline
0.26 & 101.305109116732 & 0.366569729295395 \tabularnewline
0.27 & 101.38315883859 & 0.397713908239523 \tabularnewline
0.28 & 101.466150601743 & 0.430241140731058 \tabularnewline
0.29 & 101.554238541673 & 0.461799193490108 \tabularnewline
0.3 & 101.647163283624 & 0.490014875973323 \tabularnewline
0.31 & 101.744303205526 & 0.513192611436549 \tabularnewline
0.32 & 101.844775936513 & 0.530300494992185 \tabularnewline
0.33 & 101.947574488031 & 0.541170777695269 \tabularnewline
0.34 & 102.051714857271 & 0.546619514774996 \tabularnewline
0.35 & 102.156369765184 & 0.54794091565072 \tabularnewline
0.36 & 102.260966982821 & 0.547169280225668 \tabularnewline
0.37 & 102.365239140461 & 0.546256391559893 \tabularnewline
0.38 & 102.469222416583 & 0.546805963931871 \tabularnewline
0.39 & 102.573211185454 & 0.550298272957891 \tabularnewline
0.4 & 102.677682310725 & 0.557181354059844 \tabularnewline
0.41 & 102.783205267556 & 0.567577059853034 \tabularnewline
0.42 & 102.89035293319 & 0.581079782586195 \tabularnewline
0.43 & 102.999623969871 & 0.596984569071658 \tabularnewline
0.44 & 103.111382909821 & 0.614228404949805 \tabularnewline
0.45 & 103.225819828534 & 0.631628278037146 \tabularnewline
0.46 & 103.342928744343 & 0.648293934807529 \tabularnewline
0.47 & 103.462502754112 & 0.662815796749507 \tabularnewline
0.48 & 103.584143951742 & 0.674335981632362 \tabularnewline
0.49 & 103.707286636097 & 0.681954959801523 \tabularnewline
0.5 & 103.831232516465 & 0.684956924463919 \tabularnewline
0.51 & 103.955196198358 & 0.682910495014514 \tabularnewline
0.52 & 104.078358210782 & 0.675716525284299 \tabularnewline
0.53 & 104.199921567553 & 0.663776492512767 \tabularnewline
0.54 & 104.319166821318 & 0.647707598471434 \tabularnewline
0.55 & 104.435500179774 & 0.628276907150969 \tabularnewline
0.56 & 104.548489706182 & 0.606725666968939 \tabularnewline
0.57 & 104.657885868027 & 0.584059062081584 \tabularnewline
0.58 & 104.763624485876 & 0.561520577893188 \tabularnewline
0.59 & 104.865812149793 & 0.539866459891248 \tabularnewline
0.6 & 104.964696123561 & 0.52014256025649 \tabularnewline
0.61 & 105.060622445474 & 0.50252254172585 \tabularnewline
0.62 & 105.153987239069 & 0.48733021197983 \tabularnewline
0.63 & 105.245187084388 & 0.474411038712197 \tabularnewline
0.64 & 105.334574575247 & 0.463405301843359 \tabularnewline
0.65 & 105.422424782679 & 0.45373404644387 \tabularnewline
0.66 & 105.508917160217 & 0.444592856742222 \tabularnewline
0.67 & 105.594135463094 & 0.435515965716382 \tabularnewline
0.68 & 105.678085689451 & 0.425800334773718 \tabularnewline
0.69 & 105.760729273285 & 0.41540963792259 \tabularnewline
0.7 & 105.842026300771 & 0.404484386193739 \tabularnewline
0.71 & 105.921981916642 & 0.393070551934172 \tabularnewline
0.72 & 106.000688667427 & 0.381998687739312 \tabularnewline
0.73 & 106.078358262715 & 0.37183559495266 \tabularnewline
0.74 & 106.155337707141 & 0.363437299298282 \tabularnewline
0.75 & 106.232106345373 & 0.357282798859468 \tabularnewline
0.76 & 106.309251611671 & 0.354128996336944 \tabularnewline
0.77 & 106.387422272097 & 0.353916765900573 \tabularnewline
0.78 & 106.46725947448 & 0.356633032077705 \tabularnewline
0.79 & 106.549309140344 & 0.361598968521152 \tabularnewline
0.8 & 106.633924878984 & 0.367841221884468 \tabularnewline
0.81 & 106.721178024804 & 0.373645325783965 \tabularnewline
0.82 & 106.810798073778 & 0.377246702400678 \tabularnewline
0.83 & 106.902168927447 & 0.376869267902341 \tabularnewline
0.84 & 106.994400601758 & 0.371249909189436 \tabularnewline
0.85 & 107.086481596937 & 0.359980620881835 \tabularnewline
0.86 & 107.177496667779 & 0.343672043972674 \tabularnewline
0.87 & 107.26687360226 & 0.324224526509849 \tabularnewline
0.88 & 107.354606443557 & 0.304210074148376 \tabularnewline
0.89 & 107.441395670102 & 0.286558921362237 \tabularnewline
0.9 & 107.528651485816 & 0.273992664211955 \tabularnewline
0.91 & 107.618327380809 & 0.26801531452855 \tabularnewline
0.92 & 107.712586171331 & 0.268125058347663 \tabularnewline
0.93 & 107.813336881696 & 0.271749330560898 \tabularnewline
0.94 & 107.921694687769 & 0.274833839784341 \tabularnewline
0.95 & 108.037396736674 & 0.272709427529067 \tabularnewline
0.96 & 108.158171691049 & 0.260307992590011 \tabularnewline
0.97 & 108.278994611226 & 0.232260811988073 \tabularnewline
0.98 & 108.391006721453 & 0.186736278248239 \tabularnewline
0.99 & 108.480281888008 & 0.136128991117183 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163245&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]99.9554850000222[/C][C]0.0427767466295906[/C][/ROW]
[ROW][C]0.02[/C][C]99.9806852889024[/C][C]0.047906954464505[/C][/ROW]
[ROW][C]0.03[/C][C]100.008898706046[/C][C]0.0511283032376212[/C][/ROW]
[ROW][C]0.04[/C][C]100.036359875767[/C][C]0.0529829419099505[/C][/ROW]
[ROW][C]0.05[/C][C]100.062245296367[/C][C]0.0559927697764869[/C][/ROW]
[ROW][C]0.06[/C][C]100.087309840298[/C][C]0.0621015011923343[/C][/ROW]
[ROW][C]0.07[/C][C]100.113003255193[/C][C]0.0732800917109913[/C][/ROW]
[ROW][C]0.08[/C][C]100.14110514241[/C][C]0.0915782071312836[/C][/ROW]
[ROW][C]0.09[/C][C]100.173530350239[/C][C]0.117719094769499[/C][/ROW]
[ROW][C]0.1[/C][C]100.21208687035[/C][C]0.150817248567721[/C][/ROW]
[ROW][C]0.11[/C][C]100.258155498254[/C][C]0.188411355902573[/C][/ROW]
[ROW][C]0.12[/C][C]100.312379206721[/C][C]0.226651376519693[/C][/ROW]
[ROW][C]0.13[/C][C]100.374479188952[/C][C]0.261150994042179[/C][/ROW]
[ROW][C]0.14[/C][C]100.443273522888[/C][C]0.288722207921976[/C][/ROW]
[ROW][C]0.15[/C][C]100.51690079974[/C][C]0.306803572059418[/C][/ROW]
[ROW][C]0.16[/C][C]100.593182639134[/C][C]0.315277932808998[/C][/ROW]
[ROW][C]0.17[/C][C]100.670022301827[/C][C]0.315526381063659[/C][/ROW]
[ROW][C]0.18[/C][C]100.745740419593[/C][C]0.310078659218217[/C][/ROW]
[ROW][C]0.19[/C][C]100.819284256568[/C][C]0.302377537501881[/C][/ROW]
[ROW][C]0.2[/C][C]100.890294181496[/C][C]0.295303839758716[/C][/ROW]
[ROW][C]0.21[/C][C]100.959050242467[/C][C]0.291814103979163[/C][/ROW]
[ROW][C]0.22[/C][C]101.026341354401[/C][C]0.293624987161963[/C][/ROW]
[ROW][C]0.23[/C][C]101.093299279553[/C][C]0.302045549307808[/C][/ROW]
[ROW][C]0.24[/C][C]101.161227147889[/C][C]0.317397639756887[/C][/ROW]
[ROW][C]0.25[/C][C]101.231437908651[/C][C]0.339265904372264[/C][/ROW]
[ROW][C]0.26[/C][C]101.305109116732[/C][C]0.366569729295395[/C][/ROW]
[ROW][C]0.27[/C][C]101.38315883859[/C][C]0.397713908239523[/C][/ROW]
[ROW][C]0.28[/C][C]101.466150601743[/C][C]0.430241140731058[/C][/ROW]
[ROW][C]0.29[/C][C]101.554238541673[/C][C]0.461799193490108[/C][/ROW]
[ROW][C]0.3[/C][C]101.647163283624[/C][C]0.490014875973323[/C][/ROW]
[ROW][C]0.31[/C][C]101.744303205526[/C][C]0.513192611436549[/C][/ROW]
[ROW][C]0.32[/C][C]101.844775936513[/C][C]0.530300494992185[/C][/ROW]
[ROW][C]0.33[/C][C]101.947574488031[/C][C]0.541170777695269[/C][/ROW]
[ROW][C]0.34[/C][C]102.051714857271[/C][C]0.546619514774996[/C][/ROW]
[ROW][C]0.35[/C][C]102.156369765184[/C][C]0.54794091565072[/C][/ROW]
[ROW][C]0.36[/C][C]102.260966982821[/C][C]0.547169280225668[/C][/ROW]
[ROW][C]0.37[/C][C]102.365239140461[/C][C]0.546256391559893[/C][/ROW]
[ROW][C]0.38[/C][C]102.469222416583[/C][C]0.546805963931871[/C][/ROW]
[ROW][C]0.39[/C][C]102.573211185454[/C][C]0.550298272957891[/C][/ROW]
[ROW][C]0.4[/C][C]102.677682310725[/C][C]0.557181354059844[/C][/ROW]
[ROW][C]0.41[/C][C]102.783205267556[/C][C]0.567577059853034[/C][/ROW]
[ROW][C]0.42[/C][C]102.89035293319[/C][C]0.581079782586195[/C][/ROW]
[ROW][C]0.43[/C][C]102.999623969871[/C][C]0.596984569071658[/C][/ROW]
[ROW][C]0.44[/C][C]103.111382909821[/C][C]0.614228404949805[/C][/ROW]
[ROW][C]0.45[/C][C]103.225819828534[/C][C]0.631628278037146[/C][/ROW]
[ROW][C]0.46[/C][C]103.342928744343[/C][C]0.648293934807529[/C][/ROW]
[ROW][C]0.47[/C][C]103.462502754112[/C][C]0.662815796749507[/C][/ROW]
[ROW][C]0.48[/C][C]103.584143951742[/C][C]0.674335981632362[/C][/ROW]
[ROW][C]0.49[/C][C]103.707286636097[/C][C]0.681954959801523[/C][/ROW]
[ROW][C]0.5[/C][C]103.831232516465[/C][C]0.684956924463919[/C][/ROW]
[ROW][C]0.51[/C][C]103.955196198358[/C][C]0.682910495014514[/C][/ROW]
[ROW][C]0.52[/C][C]104.078358210782[/C][C]0.675716525284299[/C][/ROW]
[ROW][C]0.53[/C][C]104.199921567553[/C][C]0.663776492512767[/C][/ROW]
[ROW][C]0.54[/C][C]104.319166821318[/C][C]0.647707598471434[/C][/ROW]
[ROW][C]0.55[/C][C]104.435500179774[/C][C]0.628276907150969[/C][/ROW]
[ROW][C]0.56[/C][C]104.548489706182[/C][C]0.606725666968939[/C][/ROW]
[ROW][C]0.57[/C][C]104.657885868027[/C][C]0.584059062081584[/C][/ROW]
[ROW][C]0.58[/C][C]104.763624485876[/C][C]0.561520577893188[/C][/ROW]
[ROW][C]0.59[/C][C]104.865812149793[/C][C]0.539866459891248[/C][/ROW]
[ROW][C]0.6[/C][C]104.964696123561[/C][C]0.52014256025649[/C][/ROW]
[ROW][C]0.61[/C][C]105.060622445474[/C][C]0.50252254172585[/C][/ROW]
[ROW][C]0.62[/C][C]105.153987239069[/C][C]0.48733021197983[/C][/ROW]
[ROW][C]0.63[/C][C]105.245187084388[/C][C]0.474411038712197[/C][/ROW]
[ROW][C]0.64[/C][C]105.334574575247[/C][C]0.463405301843359[/C][/ROW]
[ROW][C]0.65[/C][C]105.422424782679[/C][C]0.45373404644387[/C][/ROW]
[ROW][C]0.66[/C][C]105.508917160217[/C][C]0.444592856742222[/C][/ROW]
[ROW][C]0.67[/C][C]105.594135463094[/C][C]0.435515965716382[/C][/ROW]
[ROW][C]0.68[/C][C]105.678085689451[/C][C]0.425800334773718[/C][/ROW]
[ROW][C]0.69[/C][C]105.760729273285[/C][C]0.41540963792259[/C][/ROW]
[ROW][C]0.7[/C][C]105.842026300771[/C][C]0.404484386193739[/C][/ROW]
[ROW][C]0.71[/C][C]105.921981916642[/C][C]0.393070551934172[/C][/ROW]
[ROW][C]0.72[/C][C]106.000688667427[/C][C]0.381998687739312[/C][/ROW]
[ROW][C]0.73[/C][C]106.078358262715[/C][C]0.37183559495266[/C][/ROW]
[ROW][C]0.74[/C][C]106.155337707141[/C][C]0.363437299298282[/C][/ROW]
[ROW][C]0.75[/C][C]106.232106345373[/C][C]0.357282798859468[/C][/ROW]
[ROW][C]0.76[/C][C]106.309251611671[/C][C]0.354128996336944[/C][/ROW]
[ROW][C]0.77[/C][C]106.387422272097[/C][C]0.353916765900573[/C][/ROW]
[ROW][C]0.78[/C][C]106.46725947448[/C][C]0.356633032077705[/C][/ROW]
[ROW][C]0.79[/C][C]106.549309140344[/C][C]0.361598968521152[/C][/ROW]
[ROW][C]0.8[/C][C]106.633924878984[/C][C]0.367841221884468[/C][/ROW]
[ROW][C]0.81[/C][C]106.721178024804[/C][C]0.373645325783965[/C][/ROW]
[ROW][C]0.82[/C][C]106.810798073778[/C][C]0.377246702400678[/C][/ROW]
[ROW][C]0.83[/C][C]106.902168927447[/C][C]0.376869267902341[/C][/ROW]
[ROW][C]0.84[/C][C]106.994400601758[/C][C]0.371249909189436[/C][/ROW]
[ROW][C]0.85[/C][C]107.086481596937[/C][C]0.359980620881835[/C][/ROW]
[ROW][C]0.86[/C][C]107.177496667779[/C][C]0.343672043972674[/C][/ROW]
[ROW][C]0.87[/C][C]107.26687360226[/C][C]0.324224526509849[/C][/ROW]
[ROW][C]0.88[/C][C]107.354606443557[/C][C]0.304210074148376[/C][/ROW]
[ROW][C]0.89[/C][C]107.441395670102[/C][C]0.286558921362237[/C][/ROW]
[ROW][C]0.9[/C][C]107.528651485816[/C][C]0.273992664211955[/C][/ROW]
[ROW][C]0.91[/C][C]107.618327380809[/C][C]0.26801531452855[/C][/ROW]
[ROW][C]0.92[/C][C]107.712586171331[/C][C]0.268125058347663[/C][/ROW]
[ROW][C]0.93[/C][C]107.813336881696[/C][C]0.271749330560898[/C][/ROW]
[ROW][C]0.94[/C][C]107.921694687769[/C][C]0.274833839784341[/C][/ROW]
[ROW][C]0.95[/C][C]108.037396736674[/C][C]0.272709427529067[/C][/ROW]
[ROW][C]0.96[/C][C]108.158171691049[/C][C]0.260307992590011[/C][/ROW]
[ROW][C]0.97[/C][C]108.278994611226[/C][C]0.232260811988073[/C][/ROW]
[ROW][C]0.98[/C][C]108.391006721453[/C][C]0.186736278248239[/C][/ROW]
[ROW][C]0.99[/C][C]108.480281888008[/C][C]0.136128991117183[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163245&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163245&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
0.0199.95548500002220.0427767466295906
0.0299.98068528890240.047906954464505
0.03100.0088987060460.0511283032376212
0.04100.0363598757670.0529829419099505
0.05100.0622452963670.0559927697764869
0.06100.0873098402980.0621015011923343
0.07100.1130032551930.0732800917109913
0.08100.141105142410.0915782071312836
0.09100.1735303502390.117719094769499
0.1100.212086870350.150817248567721
0.11100.2581554982540.188411355902573
0.12100.3123792067210.226651376519693
0.13100.3744791889520.261150994042179
0.14100.4432735228880.288722207921976
0.15100.516900799740.306803572059418
0.16100.5931826391340.315277932808998
0.17100.6700223018270.315526381063659
0.18100.7457404195930.310078659218217
0.19100.8192842565680.302377537501881
0.2100.8902941814960.295303839758716
0.21100.9590502424670.291814103979163
0.22101.0263413544010.293624987161963
0.23101.0932992795530.302045549307808
0.24101.1612271478890.317397639756887
0.25101.2314379086510.339265904372264
0.26101.3051091167320.366569729295395
0.27101.383158838590.397713908239523
0.28101.4661506017430.430241140731058
0.29101.5542385416730.461799193490108
0.3101.6471632836240.490014875973323
0.31101.7443032055260.513192611436549
0.32101.8447759365130.530300494992185
0.33101.9475744880310.541170777695269
0.34102.0517148572710.546619514774996
0.35102.1563697651840.54794091565072
0.36102.2609669828210.547169280225668
0.37102.3652391404610.546256391559893
0.38102.4692224165830.546805963931871
0.39102.5732111854540.550298272957891
0.4102.6776823107250.557181354059844
0.41102.7832052675560.567577059853034
0.42102.890352933190.581079782586195
0.43102.9996239698710.596984569071658
0.44103.1113829098210.614228404949805
0.45103.2258198285340.631628278037146
0.46103.3429287443430.648293934807529
0.47103.4625027541120.662815796749507
0.48103.5841439517420.674335981632362
0.49103.7072866360970.681954959801523
0.5103.8312325164650.684956924463919
0.51103.9551961983580.682910495014514
0.52104.0783582107820.675716525284299
0.53104.1999215675530.663776492512767
0.54104.3191668213180.647707598471434
0.55104.4355001797740.628276907150969
0.56104.5484897061820.606725666968939
0.57104.6578858680270.584059062081584
0.58104.7636244858760.561520577893188
0.59104.8658121497930.539866459891248
0.6104.9646961235610.52014256025649
0.61105.0606224454740.50252254172585
0.62105.1539872390690.48733021197983
0.63105.2451870843880.474411038712197
0.64105.3345745752470.463405301843359
0.65105.4224247826790.45373404644387
0.66105.5089171602170.444592856742222
0.67105.5941354630940.435515965716382
0.68105.6780856894510.425800334773718
0.69105.7607292732850.41540963792259
0.7105.8420263007710.404484386193739
0.71105.9219819166420.393070551934172
0.72106.0006886674270.381998687739312
0.73106.0783582627150.37183559495266
0.74106.1553377071410.363437299298282
0.75106.2321063453730.357282798859468
0.76106.3092516116710.354128996336944
0.77106.3874222720970.353916765900573
0.78106.467259474480.356633032077705
0.79106.5493091403440.361598968521152
0.8106.6339248789840.367841221884468
0.81106.7211780248040.373645325783965
0.82106.8107980737780.377246702400678
0.83106.9021689274470.376869267902341
0.84106.9944006017580.371249909189436
0.85107.0864815969370.359980620881835
0.86107.1774966677790.343672043972674
0.87107.266873602260.324224526509849
0.88107.3546064435570.304210074148376
0.89107.4413956701020.286558921362237
0.9107.5286514858160.273992664211955
0.91107.6183273808090.26801531452855
0.92107.7125861713310.268125058347663
0.93107.8133368816960.271749330560898
0.94107.9216946877690.274833839784341
0.95108.0373967366740.272709427529067
0.96108.1581716910490.260307992590011
0.97108.2789946112260.232260811988073
0.98108.3910067214530.186736278248239
0.99108.4802818880080.136128991117183


Figures (Output of Computation)

Input Parameters & R Code

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')