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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 computationMon, 16 Mar 2009 07:55:38 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/16/t1237211792l158ghwctcl6ui4.htm/, Retrieved Fri, 26 Apr 2024 11:29:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39114, Retrieved Fri, 26 Apr 2024 11:29:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact212

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] [Ben Eysackers, op...] [2009-03-16 13:55:38] [2b08e9b5345c911f5a04c663d4ad43d5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-46
-33
-34
-25
-33
-18
-26
-21
-23
-24
-26
-32
-47
-45
-47
-43
-48
-48
-43
-44
-46
-36
-32
-18
-31
-37
-32
-29
-29
-40
-26
-29
-19
-30
-12
-24
-40
-43
-49
-49
-48
-33
-46
-46
-43
-44
-38
-38
-39
-47
-41
-36
-38
-11
-24
-30
-18
-21
-22
-15
-15
-16
-26
-39
-28
-25
-25
-13
-20
-13
-10
-19
-31
-36
-26
-33
-42
-44
-45
-42
-60
-42
-63
-71

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' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39114&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39114&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39114&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-67.9086043834067.00015309597148
0.02-63.36105679869446.67250342663708
0.03-58.92898283572786.61480423976724
0.04-55.2313118318215.84737663288978
0.05-52.41766084862334.4571162601736
0.06-50.44972750009873.01944914916203
0.07-49.16713055270671.93457252683058
0.08-48.35697837269841.29192909160578
0.09-47.8279352296050.991698606903999
0.1-47.44633698507510.883353121256813
0.11-47.13468367940480.856936241202434
0.12-46.85400887176130.861100168475123
0.13-46.58642453037130.878982180939527
0.14-46.32363292851220.907259876225426
0.15-46.06110421752990.94573267958861
0.16-45.79586212630490.992585085532702
0.17-45.52602828477731.04305861320998
0.18-45.25092732707341.09090821927154
0.19-44.97112038533651.13050450018962
0.2-44.68813399552801.15870149733838
0.21-44.40390904553961.17579957500414
0.22-44.12013155700581.18544833796367
0.23-43.83764087287781.19373197019062
0.24-43.5560683192291.20763181713998
0.25-43.27377775978951.23359379472467
0.26-42.98809460087951.27587350628750
0.27-42.69574584853421.33598963859859
0.28-42.39340009041191.41215583960195
0.29-42.07819119192731.50009643257276
0.3-41.74812658057651.59396046223518
0.31-41.40231302718851.68741192685552
0.32-41.04097313617761.7749395364655
0.33-40.66526777928421.8526158148099
0.34-40.2769766445561.91852265725795
0.35-39.87811441249331.97316351388586
0.36-39.47056895332642.01855072289593
0.37-39.05583859194282.05815816971742
0.38-38.63491999457542.09504220962595
0.39-38.20836224513572.13169517016919
0.4-37.77646415138532.16867811837587
0.41-37.33955917602482.20465467721767
0.42-36.89831264858522.23647298817033
0.43-36.45395322554452.25977029568224
0.44-36.00837537179832.27007735892675
0.45-35.5640786051772.26388335986760
0.46-35.12394593425852.23928882639092
0.47-34.69090009007872.19681740522168
0.48-34.26750356532262.13961832818853
0.49-33.85558084604292.07281754095733
0.5-33.45593587587122.00310382324204
0.51-33.06821650093291.93764080090011
0.52-32.69094625860561.88289091171271
0.53-32.32171073162761.84364641468612
0.54-31.95745916716521.82259436826400
0.55-31.59486803832231.81997376238488
0.56-31.23071332316591.83374234665685
0.57-30.86220951950481.86033834929985
0.58-30.4872895171231.89517517275267
0.59-30.10481332480081.93292335850674
0.6-29.71470025957041.96798588502605
0.61-29.31797766704381.99469392993415
0.62-28.91673326065592.00773253678723
0.63-28.51395445644412.00263280547632
0.64-28.11324322348251.97655412088818
0.65-27.71841198597171.92886724736717
0.66-27.33299229805311.86167553384745
0.67-26.95971531341141.77996612624243
0.68-26.60004115916041.69120372540236
0.69-26.25381518317131.60453938818783
0.7-25.91911091551841.52962930732779
0.71-25.59228811282621.4752561269282
0.72-25.26825996149441.44812374615150
0.73-24.94093665920861.45184196731146
0.74-24.60379809363631.48650470644374
0.75-24.25054370576111.54866267144380
0.76-23.87576529961871.63168434554184
0.77-23.47558139369941.72634101800980
0.78-23.04815822038011.82164402762453
0.79-22.59402837147751.90613059624696
0.8-22.11611308667261.96922707346863
0.81-21.61936697593442.00294950416841
0.82-21.10999996893992.00334632430517
0.83-20.59429533738741.97170563677084
0.84-20.07714202965471.91528337111936
0.85-19.56053718527071.84722344082818
0.86-19.04246672043681.78507693742725
0.87-18.51666328781981.74691752384597
0.88-17.97365458729151.74464415444235
0.89-17.40316445352041.77657364771574
0.9-16.79736634415051.82514597016271
0.91-16.15393928650401.86268810869805
0.92-15.47761202432181.86195762261981
0.93-14.77904158366561.80534324270345
0.94-14.07051503141741.69087843599874
0.95-13.35930497108851.53651559126886
0.96-12.64178611945671.37719115670618
0.97-11.90488404952481.23906469549375
0.98-11.14817663809341.11231944751226
0.99-10.44483002331941.00846406979215

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -67.908604383406 & 7.00015309597148 \tabularnewline
0.02 & -63.3610567986944 & 6.67250342663708 \tabularnewline
0.03 & -58.9289828357278 & 6.61480423976724 \tabularnewline
0.04 & -55.231311831821 & 5.84737663288978 \tabularnewline
0.05 & -52.4176608486233 & 4.4571162601736 \tabularnewline
0.06 & -50.4497275000987 & 3.01944914916203 \tabularnewline
0.07 & -49.1671305527067 & 1.93457252683058 \tabularnewline
0.08 & -48.3569783726984 & 1.29192909160578 \tabularnewline
0.09 & -47.827935229605 & 0.991698606903999 \tabularnewline
0.1 & -47.4463369850751 & 0.883353121256813 \tabularnewline
0.11 & -47.1346836794048 & 0.856936241202434 \tabularnewline
0.12 & -46.8540088717613 & 0.861100168475123 \tabularnewline
0.13 & -46.5864245303713 & 0.878982180939527 \tabularnewline
0.14 & -46.3236329285122 & 0.907259876225426 \tabularnewline
0.15 & -46.0611042175299 & 0.94573267958861 \tabularnewline
0.16 & -45.7958621263049 & 0.992585085532702 \tabularnewline
0.17 & -45.5260282847773 & 1.04305861320998 \tabularnewline
0.18 & -45.2509273270734 & 1.09090821927154 \tabularnewline
0.19 & -44.9711203853365 & 1.13050450018962 \tabularnewline
0.2 & -44.6881339955280 & 1.15870149733838 \tabularnewline
0.21 & -44.4039090455396 & 1.17579957500414 \tabularnewline
0.22 & -44.1201315570058 & 1.18544833796367 \tabularnewline
0.23 & -43.8376408728778 & 1.19373197019062 \tabularnewline
0.24 & -43.556068319229 & 1.20763181713998 \tabularnewline
0.25 & -43.2737777597895 & 1.23359379472467 \tabularnewline
0.26 & -42.9880946008795 & 1.27587350628750 \tabularnewline
0.27 & -42.6957458485342 & 1.33598963859859 \tabularnewline
0.28 & -42.3934000904119 & 1.41215583960195 \tabularnewline
0.29 & -42.0781911919273 & 1.50009643257276 \tabularnewline
0.3 & -41.7481265805765 & 1.59396046223518 \tabularnewline
0.31 & -41.4023130271885 & 1.68741192685552 \tabularnewline
0.32 & -41.0409731361776 & 1.7749395364655 \tabularnewline
0.33 & -40.6652677792842 & 1.8526158148099 \tabularnewline
0.34 & -40.276976644556 & 1.91852265725795 \tabularnewline
0.35 & -39.8781144124933 & 1.97316351388586 \tabularnewline
0.36 & -39.4705689533264 & 2.01855072289593 \tabularnewline
0.37 & -39.0558385919428 & 2.05815816971742 \tabularnewline
0.38 & -38.6349199945754 & 2.09504220962595 \tabularnewline
0.39 & -38.2083622451357 & 2.13169517016919 \tabularnewline
0.4 & -37.7764641513853 & 2.16867811837587 \tabularnewline
0.41 & -37.3395591760248 & 2.20465467721767 \tabularnewline
0.42 & -36.8983126485852 & 2.23647298817033 \tabularnewline
0.43 & -36.4539532255445 & 2.25977029568224 \tabularnewline
0.44 & -36.0083753717983 & 2.27007735892675 \tabularnewline
0.45 & -35.564078605177 & 2.26388335986760 \tabularnewline
0.46 & -35.1239459342585 & 2.23928882639092 \tabularnewline
0.47 & -34.6909000900787 & 2.19681740522168 \tabularnewline
0.48 & -34.2675035653226 & 2.13961832818853 \tabularnewline
0.49 & -33.8555808460429 & 2.07281754095733 \tabularnewline
0.5 & -33.4559358758712 & 2.00310382324204 \tabularnewline
0.51 & -33.0682165009329 & 1.93764080090011 \tabularnewline
0.52 & -32.6909462586056 & 1.88289091171271 \tabularnewline
0.53 & -32.3217107316276 & 1.84364641468612 \tabularnewline
0.54 & -31.9574591671652 & 1.82259436826400 \tabularnewline
0.55 & -31.5948680383223 & 1.81997376238488 \tabularnewline
0.56 & -31.2307133231659 & 1.83374234665685 \tabularnewline
0.57 & -30.8622095195048 & 1.86033834929985 \tabularnewline
0.58 & -30.487289517123 & 1.89517517275267 \tabularnewline
0.59 & -30.1048133248008 & 1.93292335850674 \tabularnewline
0.6 & -29.7147002595704 & 1.96798588502605 \tabularnewline
0.61 & -29.3179776670438 & 1.99469392993415 \tabularnewline
0.62 & -28.9167332606559 & 2.00773253678723 \tabularnewline
0.63 & -28.5139544564441 & 2.00263280547632 \tabularnewline
0.64 & -28.1132432234825 & 1.97655412088818 \tabularnewline
0.65 & -27.7184119859717 & 1.92886724736717 \tabularnewline
0.66 & -27.3329922980531 & 1.86167553384745 \tabularnewline
0.67 & -26.9597153134114 & 1.77996612624243 \tabularnewline
0.68 & -26.6000411591604 & 1.69120372540236 \tabularnewline
0.69 & -26.2538151831713 & 1.60453938818783 \tabularnewline
0.7 & -25.9191109155184 & 1.52962930732779 \tabularnewline
0.71 & -25.5922881128262 & 1.4752561269282 \tabularnewline
0.72 & -25.2682599614944 & 1.44812374615150 \tabularnewline
0.73 & -24.9409366592086 & 1.45184196731146 \tabularnewline
0.74 & -24.6037980936363 & 1.48650470644374 \tabularnewline
0.75 & -24.2505437057611 & 1.54866267144380 \tabularnewline
0.76 & -23.8757652996187 & 1.63168434554184 \tabularnewline
0.77 & -23.4755813936994 & 1.72634101800980 \tabularnewline
0.78 & -23.0481582203801 & 1.82164402762453 \tabularnewline
0.79 & -22.5940283714775 & 1.90613059624696 \tabularnewline
0.8 & -22.1161130866726 & 1.96922707346863 \tabularnewline
0.81 & -21.6193669759344 & 2.00294950416841 \tabularnewline
0.82 & -21.1099999689399 & 2.00334632430517 \tabularnewline
0.83 & -20.5942953373874 & 1.97170563677084 \tabularnewline
0.84 & -20.0771420296547 & 1.91528337111936 \tabularnewline
0.85 & -19.5605371852707 & 1.84722344082818 \tabularnewline
0.86 & -19.0424667204368 & 1.78507693742725 \tabularnewline
0.87 & -18.5166632878198 & 1.74691752384597 \tabularnewline
0.88 & -17.9736545872915 & 1.74464415444235 \tabularnewline
0.89 & -17.4031644535204 & 1.77657364771574 \tabularnewline
0.9 & -16.7973663441505 & 1.82514597016271 \tabularnewline
0.91 & -16.1539392865040 & 1.86268810869805 \tabularnewline
0.92 & -15.4776120243218 & 1.86195762261981 \tabularnewline
0.93 & -14.7790415836656 & 1.80534324270345 \tabularnewline
0.94 & -14.0705150314174 & 1.69087843599874 \tabularnewline
0.95 & -13.3593049710885 & 1.53651559126886 \tabularnewline
0.96 & -12.6417861194567 & 1.37719115670618 \tabularnewline
0.97 & -11.9048840495248 & 1.23906469549375 \tabularnewline
0.98 & -11.1481766380934 & 1.11231944751226 \tabularnewline
0.99 & -10.4448300233194 & 1.00846406979215 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39114&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]-67.908604383406[/C][C]7.00015309597148[/C][/ROW]
[ROW][C]0.02[/C][C]-63.3610567986944[/C][C]6.67250342663708[/C][/ROW]
[ROW][C]0.03[/C][C]-58.9289828357278[/C][C]6.61480423976724[/C][/ROW]
[ROW][C]0.04[/C][C]-55.231311831821[/C][C]5.84737663288978[/C][/ROW]
[ROW][C]0.05[/C][C]-52.4176608486233[/C][C]4.4571162601736[/C][/ROW]
[ROW][C]0.06[/C][C]-50.4497275000987[/C][C]3.01944914916203[/C][/ROW]
[ROW][C]0.07[/C][C]-49.1671305527067[/C][C]1.93457252683058[/C][/ROW]
[ROW][C]0.08[/C][C]-48.3569783726984[/C][C]1.29192909160578[/C][/ROW]
[ROW][C]0.09[/C][C]-47.827935229605[/C][C]0.991698606903999[/C][/ROW]
[ROW][C]0.1[/C][C]-47.4463369850751[/C][C]0.883353121256813[/C][/ROW]
[ROW][C]0.11[/C][C]-47.1346836794048[/C][C]0.856936241202434[/C][/ROW]
[ROW][C]0.12[/C][C]-46.8540088717613[/C][C]0.861100168475123[/C][/ROW]
[ROW][C]0.13[/C][C]-46.5864245303713[/C][C]0.878982180939527[/C][/ROW]
[ROW][C]0.14[/C][C]-46.3236329285122[/C][C]0.907259876225426[/C][/ROW]
[ROW][C]0.15[/C][C]-46.0611042175299[/C][C]0.94573267958861[/C][/ROW]
[ROW][C]0.16[/C][C]-45.7958621263049[/C][C]0.992585085532702[/C][/ROW]
[ROW][C]0.17[/C][C]-45.5260282847773[/C][C]1.04305861320998[/C][/ROW]
[ROW][C]0.18[/C][C]-45.2509273270734[/C][C]1.09090821927154[/C][/ROW]
[ROW][C]0.19[/C][C]-44.9711203853365[/C][C]1.13050450018962[/C][/ROW]
[ROW][C]0.2[/C][C]-44.6881339955280[/C][C]1.15870149733838[/C][/ROW]
[ROW][C]0.21[/C][C]-44.4039090455396[/C][C]1.17579957500414[/C][/ROW]
[ROW][C]0.22[/C][C]-44.1201315570058[/C][C]1.18544833796367[/C][/ROW]
[ROW][C]0.23[/C][C]-43.8376408728778[/C][C]1.19373197019062[/C][/ROW]
[ROW][C]0.24[/C][C]-43.556068319229[/C][C]1.20763181713998[/C][/ROW]
[ROW][C]0.25[/C][C]-43.2737777597895[/C][C]1.23359379472467[/C][/ROW]
[ROW][C]0.26[/C][C]-42.9880946008795[/C][C]1.27587350628750[/C][/ROW]
[ROW][C]0.27[/C][C]-42.6957458485342[/C][C]1.33598963859859[/C][/ROW]
[ROW][C]0.28[/C][C]-42.3934000904119[/C][C]1.41215583960195[/C][/ROW]
[ROW][C]0.29[/C][C]-42.0781911919273[/C][C]1.50009643257276[/C][/ROW]
[ROW][C]0.3[/C][C]-41.7481265805765[/C][C]1.59396046223518[/C][/ROW]
[ROW][C]0.31[/C][C]-41.4023130271885[/C][C]1.68741192685552[/C][/ROW]
[ROW][C]0.32[/C][C]-41.0409731361776[/C][C]1.7749395364655[/C][/ROW]
[ROW][C]0.33[/C][C]-40.6652677792842[/C][C]1.8526158148099[/C][/ROW]
[ROW][C]0.34[/C][C]-40.276976644556[/C][C]1.91852265725795[/C][/ROW]
[ROW][C]0.35[/C][C]-39.8781144124933[/C][C]1.97316351388586[/C][/ROW]
[ROW][C]0.36[/C][C]-39.4705689533264[/C][C]2.01855072289593[/C][/ROW]
[ROW][C]0.37[/C][C]-39.0558385919428[/C][C]2.05815816971742[/C][/ROW]
[ROW][C]0.38[/C][C]-38.6349199945754[/C][C]2.09504220962595[/C][/ROW]
[ROW][C]0.39[/C][C]-38.2083622451357[/C][C]2.13169517016919[/C][/ROW]
[ROW][C]0.4[/C][C]-37.7764641513853[/C][C]2.16867811837587[/C][/ROW]
[ROW][C]0.41[/C][C]-37.3395591760248[/C][C]2.20465467721767[/C][/ROW]
[ROW][C]0.42[/C][C]-36.8983126485852[/C][C]2.23647298817033[/C][/ROW]
[ROW][C]0.43[/C][C]-36.4539532255445[/C][C]2.25977029568224[/C][/ROW]
[ROW][C]0.44[/C][C]-36.0083753717983[/C][C]2.27007735892675[/C][/ROW]
[ROW][C]0.45[/C][C]-35.564078605177[/C][C]2.26388335986760[/C][/ROW]
[ROW][C]0.46[/C][C]-35.1239459342585[/C][C]2.23928882639092[/C][/ROW]
[ROW][C]0.47[/C][C]-34.6909000900787[/C][C]2.19681740522168[/C][/ROW]
[ROW][C]0.48[/C][C]-34.2675035653226[/C][C]2.13961832818853[/C][/ROW]
[ROW][C]0.49[/C][C]-33.8555808460429[/C][C]2.07281754095733[/C][/ROW]
[ROW][C]0.5[/C][C]-33.4559358758712[/C][C]2.00310382324204[/C][/ROW]
[ROW][C]0.51[/C][C]-33.0682165009329[/C][C]1.93764080090011[/C][/ROW]
[ROW][C]0.52[/C][C]-32.6909462586056[/C][C]1.88289091171271[/C][/ROW]
[ROW][C]0.53[/C][C]-32.3217107316276[/C][C]1.84364641468612[/C][/ROW]
[ROW][C]0.54[/C][C]-31.9574591671652[/C][C]1.82259436826400[/C][/ROW]
[ROW][C]0.55[/C][C]-31.5948680383223[/C][C]1.81997376238488[/C][/ROW]
[ROW][C]0.56[/C][C]-31.2307133231659[/C][C]1.83374234665685[/C][/ROW]
[ROW][C]0.57[/C][C]-30.8622095195048[/C][C]1.86033834929985[/C][/ROW]
[ROW][C]0.58[/C][C]-30.487289517123[/C][C]1.89517517275267[/C][/ROW]
[ROW][C]0.59[/C][C]-30.1048133248008[/C][C]1.93292335850674[/C][/ROW]
[ROW][C]0.6[/C][C]-29.7147002595704[/C][C]1.96798588502605[/C][/ROW]
[ROW][C]0.61[/C][C]-29.3179776670438[/C][C]1.99469392993415[/C][/ROW]
[ROW][C]0.62[/C][C]-28.9167332606559[/C][C]2.00773253678723[/C][/ROW]
[ROW][C]0.63[/C][C]-28.5139544564441[/C][C]2.00263280547632[/C][/ROW]
[ROW][C]0.64[/C][C]-28.1132432234825[/C][C]1.97655412088818[/C][/ROW]
[ROW][C]0.65[/C][C]-27.7184119859717[/C][C]1.92886724736717[/C][/ROW]
[ROW][C]0.66[/C][C]-27.3329922980531[/C][C]1.86167553384745[/C][/ROW]
[ROW][C]0.67[/C][C]-26.9597153134114[/C][C]1.77996612624243[/C][/ROW]
[ROW][C]0.68[/C][C]-26.6000411591604[/C][C]1.69120372540236[/C][/ROW]
[ROW][C]0.69[/C][C]-26.2538151831713[/C][C]1.60453938818783[/C][/ROW]
[ROW][C]0.7[/C][C]-25.9191109155184[/C][C]1.52962930732779[/C][/ROW]
[ROW][C]0.71[/C][C]-25.5922881128262[/C][C]1.4752561269282[/C][/ROW]
[ROW][C]0.72[/C][C]-25.2682599614944[/C][C]1.44812374615150[/C][/ROW]
[ROW][C]0.73[/C][C]-24.9409366592086[/C][C]1.45184196731146[/C][/ROW]
[ROW][C]0.74[/C][C]-24.6037980936363[/C][C]1.48650470644374[/C][/ROW]
[ROW][C]0.75[/C][C]-24.2505437057611[/C][C]1.54866267144380[/C][/ROW]
[ROW][C]0.76[/C][C]-23.8757652996187[/C][C]1.63168434554184[/C][/ROW]
[ROW][C]0.77[/C][C]-23.4755813936994[/C][C]1.72634101800980[/C][/ROW]
[ROW][C]0.78[/C][C]-23.0481582203801[/C][C]1.82164402762453[/C][/ROW]
[ROW][C]0.79[/C][C]-22.5940283714775[/C][C]1.90613059624696[/C][/ROW]
[ROW][C]0.8[/C][C]-22.1161130866726[/C][C]1.96922707346863[/C][/ROW]
[ROW][C]0.81[/C][C]-21.6193669759344[/C][C]2.00294950416841[/C][/ROW]
[ROW][C]0.82[/C][C]-21.1099999689399[/C][C]2.00334632430517[/C][/ROW]
[ROW][C]0.83[/C][C]-20.5942953373874[/C][C]1.97170563677084[/C][/ROW]
[ROW][C]0.84[/C][C]-20.0771420296547[/C][C]1.91528337111936[/C][/ROW]
[ROW][C]0.85[/C][C]-19.5605371852707[/C][C]1.84722344082818[/C][/ROW]
[ROW][C]0.86[/C][C]-19.0424667204368[/C][C]1.78507693742725[/C][/ROW]
[ROW][C]0.87[/C][C]-18.5166632878198[/C][C]1.74691752384597[/C][/ROW]
[ROW][C]0.88[/C][C]-17.9736545872915[/C][C]1.74464415444235[/C][/ROW]
[ROW][C]0.89[/C][C]-17.4031644535204[/C][C]1.77657364771574[/C][/ROW]
[ROW][C]0.9[/C][C]-16.7973663441505[/C][C]1.82514597016271[/C][/ROW]
[ROW][C]0.91[/C][C]-16.1539392865040[/C][C]1.86268810869805[/C][/ROW]
[ROW][C]0.92[/C][C]-15.4776120243218[/C][C]1.86195762261981[/C][/ROW]
[ROW][C]0.93[/C][C]-14.7790415836656[/C][C]1.80534324270345[/C][/ROW]
[ROW][C]0.94[/C][C]-14.0705150314174[/C][C]1.69087843599874[/C][/ROW]
[ROW][C]0.95[/C][C]-13.3593049710885[/C][C]1.53651559126886[/C][/ROW]
[ROW][C]0.96[/C][C]-12.6417861194567[/C][C]1.37719115670618[/C][/ROW]
[ROW][C]0.97[/C][C]-11.9048840495248[/C][C]1.23906469549375[/C][/ROW]
[ROW][C]0.98[/C][C]-11.1481766380934[/C][C]1.11231944751226[/C][/ROW]
[ROW][C]0.99[/C][C]-10.4448300233194[/C][C]1.00846406979215[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39114&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39114&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
0.01-67.9086043834067.00015309597148
0.02-63.36105679869446.67250342663708
0.03-58.92898283572786.61480423976724
0.04-55.2313118318215.84737663288978
0.05-52.41766084862334.4571162601736
0.06-50.44972750009873.01944914916203
0.07-49.16713055270671.93457252683058
0.08-48.35697837269841.29192909160578
0.09-47.8279352296050.991698606903999
0.1-47.44633698507510.883353121256813
0.11-47.13468367940480.856936241202434
0.12-46.85400887176130.861100168475123
0.13-46.58642453037130.878982180939527
0.14-46.32363292851220.907259876225426
0.15-46.06110421752990.94573267958861
0.16-45.79586212630490.992585085532702
0.17-45.52602828477731.04305861320998
0.18-45.25092732707341.09090821927154
0.19-44.97112038533651.13050450018962
0.2-44.68813399552801.15870149733838
0.21-44.40390904553961.17579957500414
0.22-44.12013155700581.18544833796367
0.23-43.83764087287781.19373197019062
0.24-43.5560683192291.20763181713998
0.25-43.27377775978951.23359379472467
0.26-42.98809460087951.27587350628750
0.27-42.69574584853421.33598963859859
0.28-42.39340009041191.41215583960195
0.29-42.07819119192731.50009643257276
0.3-41.74812658057651.59396046223518
0.31-41.40231302718851.68741192685552
0.32-41.04097313617761.7749395364655
0.33-40.66526777928421.8526158148099
0.34-40.2769766445561.91852265725795
0.35-39.87811441249331.97316351388586
0.36-39.47056895332642.01855072289593
0.37-39.05583859194282.05815816971742
0.38-38.63491999457542.09504220962595
0.39-38.20836224513572.13169517016919
0.4-37.77646415138532.16867811837587
0.41-37.33955917602482.20465467721767
0.42-36.89831264858522.23647298817033
0.43-36.45395322554452.25977029568224
0.44-36.00837537179832.27007735892675
0.45-35.5640786051772.26388335986760
0.46-35.12394593425852.23928882639092
0.47-34.69090009007872.19681740522168
0.48-34.26750356532262.13961832818853
0.49-33.85558084604292.07281754095733
0.5-33.45593587587122.00310382324204
0.51-33.06821650093291.93764080090011
0.52-32.69094625860561.88289091171271
0.53-32.32171073162761.84364641468612
0.54-31.95745916716521.82259436826400
0.55-31.59486803832231.81997376238488
0.56-31.23071332316591.83374234665685
0.57-30.86220951950481.86033834929985
0.58-30.4872895171231.89517517275267
0.59-30.10481332480081.93292335850674
0.6-29.71470025957041.96798588502605
0.61-29.31797766704381.99469392993415
0.62-28.91673326065592.00773253678723
0.63-28.51395445644412.00263280547632
0.64-28.11324322348251.97655412088818
0.65-27.71841198597171.92886724736717
0.66-27.33299229805311.86167553384745
0.67-26.95971531341141.77996612624243
0.68-26.60004115916041.69120372540236
0.69-26.25381518317131.60453938818783
0.7-25.91911091551841.52962930732779
0.71-25.59228811282621.4752561269282
0.72-25.26825996149441.44812374615150
0.73-24.94093665920861.45184196731146
0.74-24.60379809363631.48650470644374
0.75-24.25054370576111.54866267144380
0.76-23.87576529961871.63168434554184
0.77-23.47558139369941.72634101800980
0.78-23.04815822038011.82164402762453
0.79-22.59402837147751.90613059624696
0.8-22.11611308667261.96922707346863
0.81-21.61936697593442.00294950416841
0.82-21.10999996893992.00334632430517
0.83-20.59429533738741.97170563677084
0.84-20.07714202965471.91528337111936
0.85-19.56053718527071.84722344082818
0.86-19.04246672043681.78507693742725
0.87-18.51666328781981.74691752384597
0.88-17.97365458729151.74464415444235
0.89-17.40316445352041.77657364771574
0.9-16.79736634415051.82514597016271
0.91-16.15393928650401.86268810869805
0.92-15.47761202432181.86195762261981
0.93-14.77904158366561.80534324270345
0.94-14.07051503141741.69087843599874
0.95-13.35930497108851.53651559126886
0.96-12.64178611945671.37719115670618
0.97-11.90488404952481.23906469549375
0.98-11.14817663809341.11231944751226
0.99-10.44483002331941.00846406979215


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')