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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, 26 Feb 2013 17:26:00 -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/2013/Feb/26/t1361917598ueapuiay4ylm1lw.htm/, Retrieved Sun, 05 May 2024 02:34:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207141, Retrieved Sun, 05 May 2024 02:34:35 +0000
QR Codes:

Original text written by user:Harrell-Davis Quantiles Interesse Apple
IsPrivate?No (this computation is public)
User-defined keywordsHarrell-Davis Quantiles Interesse Apple
Estimated Impact88

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] [Harrell-Davis Qua...] [2013-02-26 22:26:00] [c6583091fa4b3042e72e3a6292788221] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
38
35
33
35
33
32
33
38
45
42
40
44
50
37
37
35
33
40
38
39
52
48
49
50
48
45
42
39
38
44
47
45
51
51
47
49
44
40
40
38
36
45
39
43
50
49
47
49
58
43
39
44
45
57
54
52
61
59
60
58
52
49
60
51
52
56
56
57
58
100
70
70

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207141&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207141&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207141&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0132.25447556764960.75514527163897
0.0232.58633432882310.497786527531306
0.0332.88219334034490.407539321209149
0.0433.13986397666580.536206201069628
0.0533.4046946345650.756320234101054
0.0633.71005811973660.967960221406646
0.0734.06183540519721.12483505017254
0.0834.44755621192071.21915381334001
0.0934.84934371318211.26605572475777
0.135.25186605098031.28417691263745
0.1135.64459980066891.28306481198621
0.1236.02082311565491.26276882328347
0.1336.37590430757631.22038044217281
0.1436.70632720487791.15616027092228
0.1537.00967759453831.07585853870563
0.1637.28512044392580.989365918943817
0.1737.53379566092560.908123458442321
0.1837.75880623935770.842260752795214
0.1937.96478112114690.798576370762787
0.238.15719440387380.779529341828063
0.2138.34167320040460.783869943566222
0.2238.5234692185810.808303771536617
0.2338.70716739629630.849274767559889
0.2438.89661035593090.904180342270243
0.2539.09495842414620.971370379330271
0.2639.30478843472721.04960323374443
0.2739.52815280344121.13739014028863
0.2839.76655857263781.23230125372208
0.2940.02086844817661.33066071015218
0.340.29115972152261.42751677213379
0.3140.57659509848251.51716853490981
0.3240.87536001761551.59369969309504
0.3341.18470663838081.65183973694978
0.3441.50112076290341.68766822398957
0.3541.82060116217891.69921675599394
0.3642.13901741656591.68683337029479
0.3742.45249720167181.65300424224611
0.3842.75778933189381.60227637252914
0.3943.05255457105391.54056076305757
0.443.33554975103231.47476968048925
0.4143.60668829989881.411603215539
0.4243.86697790433571.35739226411101
0.4344.11835062767691.31720978465855
0.4444.36341076109191.29437781715608
0.4544.60513088825581.29022608441384
0.4644.84652801825111.30391082007145
0.4745.09035045690831.33258700196422
0.4845.33880333855731.3718343039857
0.4945.59333683434171.41621297882459
0.545.85451586528321.4599329620644
0.5146.12198335896991.49751735941899
0.5246.39452060003741.52406221255563
0.5346.67019845437291.53611422077921
0.5446.94660318543561.53165872494377
0.5547.22111161128991.51043374781534
0.5647.49118393056211.47393533693478
0.5747.75463987907031.42501322294279
0.5848.00988567541461.36778937969012
0.5948.25606556130561.30705466208117
0.648.49312207742641.24779394317796
0.6148.72176235645341.19454282039473
0.6248.94334194822751.15089769950768
0.6349.15969093131071.11913706455667
0.6449.37291709716781.10002118538576
0.6549.58522579781741.09298906625182
0.6649.79879413084081.0965733439428
0.6750.01572780588451.10927016864583
0.6850.23811259844411.13011732009668
0.6950.46815019909231.15931793085553
0.750.70834328316961.19838855993861
0.7150.9616710597751.25042449475918
0.7251.23168027222361.31903313254768
0.7351.52241448918151.40743509730994
0.7451.83812286879931.51667868630325
0.7552.18273149387671.6442760471129
0.7652.5591225845921.78320571998459
0.7752.96833758359991.92196026588064
0.7853.40887961762472.04602603546264
0.7953.87631639832222.13989152626233
0.854.36335851277322.18983307186706
0.8154.86050630968812.18701050556278
0.8255.35723611737742.1293826008768
0.8355.84356568806542.0228303113734
0.8456.31174222488641.88062924716126
0.8556.75777879455061.72179500505958
0.8657.18266689867951.56840500090067
0.8757.59334031102691.443086077197
0.8858.00383314033131.36723801205351
0.8958.43740875176291.36253460207303
0.958.93037886666791.45825615539074
0.9159.53749067298851.70222167400482
0.9260.33756258387722.15649735767134
0.9361.43948712125662.85992420215971
0.9462.99892287006733.78327162756665
0.9565.27568185956374.86671845673066
0.9668.75626959154286.30817250187391
0.9774.23079727067159.11823147574693
0.9882.375369598506414.7398234220448
0.9992.29303009747422.815899636119

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 32.2544755676496 & 0.75514527163897 \tabularnewline
0.02 & 32.5863343288231 & 0.497786527531306 \tabularnewline
0.03 & 32.8821933403449 & 0.407539321209149 \tabularnewline
0.04 & 33.1398639766658 & 0.536206201069628 \tabularnewline
0.05 & 33.404694634565 & 0.756320234101054 \tabularnewline
0.06 & 33.7100581197366 & 0.967960221406646 \tabularnewline
0.07 & 34.0618354051972 & 1.12483505017254 \tabularnewline
0.08 & 34.4475562119207 & 1.21915381334001 \tabularnewline
0.09 & 34.8493437131821 & 1.26605572475777 \tabularnewline
0.1 & 35.2518660509803 & 1.28417691263745 \tabularnewline
0.11 & 35.6445998006689 & 1.28306481198621 \tabularnewline
0.12 & 36.0208231156549 & 1.26276882328347 \tabularnewline
0.13 & 36.3759043075763 & 1.22038044217281 \tabularnewline
0.14 & 36.7063272048779 & 1.15616027092228 \tabularnewline
0.15 & 37.0096775945383 & 1.07585853870563 \tabularnewline
0.16 & 37.2851204439258 & 0.989365918943817 \tabularnewline
0.17 & 37.5337956609256 & 0.908123458442321 \tabularnewline
0.18 & 37.7588062393577 & 0.842260752795214 \tabularnewline
0.19 & 37.9647811211469 & 0.798576370762787 \tabularnewline
0.2 & 38.1571944038738 & 0.779529341828063 \tabularnewline
0.21 & 38.3416732004046 & 0.783869943566222 \tabularnewline
0.22 & 38.523469218581 & 0.808303771536617 \tabularnewline
0.23 & 38.7071673962963 & 0.849274767559889 \tabularnewline
0.24 & 38.8966103559309 & 0.904180342270243 \tabularnewline
0.25 & 39.0949584241462 & 0.971370379330271 \tabularnewline
0.26 & 39.3047884347272 & 1.04960323374443 \tabularnewline
0.27 & 39.5281528034412 & 1.13739014028863 \tabularnewline
0.28 & 39.7665585726378 & 1.23230125372208 \tabularnewline
0.29 & 40.0208684481766 & 1.33066071015218 \tabularnewline
0.3 & 40.2911597215226 & 1.42751677213379 \tabularnewline
0.31 & 40.5765950984825 & 1.51716853490981 \tabularnewline
0.32 & 40.8753600176155 & 1.59369969309504 \tabularnewline
0.33 & 41.1847066383808 & 1.65183973694978 \tabularnewline
0.34 & 41.5011207629034 & 1.68766822398957 \tabularnewline
0.35 & 41.8206011621789 & 1.69921675599394 \tabularnewline
0.36 & 42.1390174165659 & 1.68683337029479 \tabularnewline
0.37 & 42.4524972016718 & 1.65300424224611 \tabularnewline
0.38 & 42.7577893318938 & 1.60227637252914 \tabularnewline
0.39 & 43.0525545710539 & 1.54056076305757 \tabularnewline
0.4 & 43.3355497510323 & 1.47476968048925 \tabularnewline
0.41 & 43.6066882998988 & 1.411603215539 \tabularnewline
0.42 & 43.8669779043357 & 1.35739226411101 \tabularnewline
0.43 & 44.1183506276769 & 1.31720978465855 \tabularnewline
0.44 & 44.3634107610919 & 1.29437781715608 \tabularnewline
0.45 & 44.6051308882558 & 1.29022608441384 \tabularnewline
0.46 & 44.8465280182511 & 1.30391082007145 \tabularnewline
0.47 & 45.0903504569083 & 1.33258700196422 \tabularnewline
0.48 & 45.3388033385573 & 1.3718343039857 \tabularnewline
0.49 & 45.5933368343417 & 1.41621297882459 \tabularnewline
0.5 & 45.8545158652832 & 1.4599329620644 \tabularnewline
0.51 & 46.1219833589699 & 1.49751735941899 \tabularnewline
0.52 & 46.3945206000374 & 1.52406221255563 \tabularnewline
0.53 & 46.6701984543729 & 1.53611422077921 \tabularnewline
0.54 & 46.9466031854356 & 1.53165872494377 \tabularnewline
0.55 & 47.2211116112899 & 1.51043374781534 \tabularnewline
0.56 & 47.4911839305621 & 1.47393533693478 \tabularnewline
0.57 & 47.7546398790703 & 1.42501322294279 \tabularnewline
0.58 & 48.0098856754146 & 1.36778937969012 \tabularnewline
0.59 & 48.2560655613056 & 1.30705466208117 \tabularnewline
0.6 & 48.4931220774264 & 1.24779394317796 \tabularnewline
0.61 & 48.7217623564534 & 1.19454282039473 \tabularnewline
0.62 & 48.9433419482275 & 1.15089769950768 \tabularnewline
0.63 & 49.1596909313107 & 1.11913706455667 \tabularnewline
0.64 & 49.3729170971678 & 1.10002118538576 \tabularnewline
0.65 & 49.5852257978174 & 1.09298906625182 \tabularnewline
0.66 & 49.7987941308408 & 1.0965733439428 \tabularnewline
0.67 & 50.0157278058845 & 1.10927016864583 \tabularnewline
0.68 & 50.2381125984441 & 1.13011732009668 \tabularnewline
0.69 & 50.4681501990923 & 1.15931793085553 \tabularnewline
0.7 & 50.7083432831696 & 1.19838855993861 \tabularnewline
0.71 & 50.961671059775 & 1.25042449475918 \tabularnewline
0.72 & 51.2316802722236 & 1.31903313254768 \tabularnewline
0.73 & 51.5224144891815 & 1.40743509730994 \tabularnewline
0.74 & 51.8381228687993 & 1.51667868630325 \tabularnewline
0.75 & 52.1827314938767 & 1.6442760471129 \tabularnewline
0.76 & 52.559122584592 & 1.78320571998459 \tabularnewline
0.77 & 52.9683375835999 & 1.92196026588064 \tabularnewline
0.78 & 53.4088796176247 & 2.04602603546264 \tabularnewline
0.79 & 53.8763163983222 & 2.13989152626233 \tabularnewline
0.8 & 54.3633585127732 & 2.18983307186706 \tabularnewline
0.81 & 54.8605063096881 & 2.18701050556278 \tabularnewline
0.82 & 55.3572361173774 & 2.1293826008768 \tabularnewline
0.83 & 55.8435656880654 & 2.0228303113734 \tabularnewline
0.84 & 56.3117422248864 & 1.88062924716126 \tabularnewline
0.85 & 56.7577787945506 & 1.72179500505958 \tabularnewline
0.86 & 57.1826668986795 & 1.56840500090067 \tabularnewline
0.87 & 57.5933403110269 & 1.443086077197 \tabularnewline
0.88 & 58.0038331403313 & 1.36723801205351 \tabularnewline
0.89 & 58.4374087517629 & 1.36253460207303 \tabularnewline
0.9 & 58.9303788666679 & 1.45825615539074 \tabularnewline
0.91 & 59.5374906729885 & 1.70222167400482 \tabularnewline
0.92 & 60.3375625838772 & 2.15649735767134 \tabularnewline
0.93 & 61.4394871212566 & 2.85992420215971 \tabularnewline
0.94 & 62.9989228700673 & 3.78327162756665 \tabularnewline
0.95 & 65.2756818595637 & 4.86671845673066 \tabularnewline
0.96 & 68.7562695915428 & 6.30817250187391 \tabularnewline
0.97 & 74.2307972706715 & 9.11823147574693 \tabularnewline
0.98 & 82.3753695985064 & 14.7398234220448 \tabularnewline
0.99 & 92.293030097474 & 22.815899636119 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207141&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]32.2544755676496[/C][C]0.75514527163897[/C][/ROW]
[ROW][C]0.02[/C][C]32.5863343288231[/C][C]0.497786527531306[/C][/ROW]
[ROW][C]0.03[/C][C]32.8821933403449[/C][C]0.407539321209149[/C][/ROW]
[ROW][C]0.04[/C][C]33.1398639766658[/C][C]0.536206201069628[/C][/ROW]
[ROW][C]0.05[/C][C]33.404694634565[/C][C]0.756320234101054[/C][/ROW]
[ROW][C]0.06[/C][C]33.7100581197366[/C][C]0.967960221406646[/C][/ROW]
[ROW][C]0.07[/C][C]34.0618354051972[/C][C]1.12483505017254[/C][/ROW]
[ROW][C]0.08[/C][C]34.4475562119207[/C][C]1.21915381334001[/C][/ROW]
[ROW][C]0.09[/C][C]34.8493437131821[/C][C]1.26605572475777[/C][/ROW]
[ROW][C]0.1[/C][C]35.2518660509803[/C][C]1.28417691263745[/C][/ROW]
[ROW][C]0.11[/C][C]35.6445998006689[/C][C]1.28306481198621[/C][/ROW]
[ROW][C]0.12[/C][C]36.0208231156549[/C][C]1.26276882328347[/C][/ROW]
[ROW][C]0.13[/C][C]36.3759043075763[/C][C]1.22038044217281[/C][/ROW]
[ROW][C]0.14[/C][C]36.7063272048779[/C][C]1.15616027092228[/C][/ROW]
[ROW][C]0.15[/C][C]37.0096775945383[/C][C]1.07585853870563[/C][/ROW]
[ROW][C]0.16[/C][C]37.2851204439258[/C][C]0.989365918943817[/C][/ROW]
[ROW][C]0.17[/C][C]37.5337956609256[/C][C]0.908123458442321[/C][/ROW]
[ROW][C]0.18[/C][C]37.7588062393577[/C][C]0.842260752795214[/C][/ROW]
[ROW][C]0.19[/C][C]37.9647811211469[/C][C]0.798576370762787[/C][/ROW]
[ROW][C]0.2[/C][C]38.1571944038738[/C][C]0.779529341828063[/C][/ROW]
[ROW][C]0.21[/C][C]38.3416732004046[/C][C]0.783869943566222[/C][/ROW]
[ROW][C]0.22[/C][C]38.523469218581[/C][C]0.808303771536617[/C][/ROW]
[ROW][C]0.23[/C][C]38.7071673962963[/C][C]0.849274767559889[/C][/ROW]
[ROW][C]0.24[/C][C]38.8966103559309[/C][C]0.904180342270243[/C][/ROW]
[ROW][C]0.25[/C][C]39.0949584241462[/C][C]0.971370379330271[/C][/ROW]
[ROW][C]0.26[/C][C]39.3047884347272[/C][C]1.04960323374443[/C][/ROW]
[ROW][C]0.27[/C][C]39.5281528034412[/C][C]1.13739014028863[/C][/ROW]
[ROW][C]0.28[/C][C]39.7665585726378[/C][C]1.23230125372208[/C][/ROW]
[ROW][C]0.29[/C][C]40.0208684481766[/C][C]1.33066071015218[/C][/ROW]
[ROW][C]0.3[/C][C]40.2911597215226[/C][C]1.42751677213379[/C][/ROW]
[ROW][C]0.31[/C][C]40.5765950984825[/C][C]1.51716853490981[/C][/ROW]
[ROW][C]0.32[/C][C]40.8753600176155[/C][C]1.59369969309504[/C][/ROW]
[ROW][C]0.33[/C][C]41.1847066383808[/C][C]1.65183973694978[/C][/ROW]
[ROW][C]0.34[/C][C]41.5011207629034[/C][C]1.68766822398957[/C][/ROW]
[ROW][C]0.35[/C][C]41.8206011621789[/C][C]1.69921675599394[/C][/ROW]
[ROW][C]0.36[/C][C]42.1390174165659[/C][C]1.68683337029479[/C][/ROW]
[ROW][C]0.37[/C][C]42.4524972016718[/C][C]1.65300424224611[/C][/ROW]
[ROW][C]0.38[/C][C]42.7577893318938[/C][C]1.60227637252914[/C][/ROW]
[ROW][C]0.39[/C][C]43.0525545710539[/C][C]1.54056076305757[/C][/ROW]
[ROW][C]0.4[/C][C]43.3355497510323[/C][C]1.47476968048925[/C][/ROW]
[ROW][C]0.41[/C][C]43.6066882998988[/C][C]1.411603215539[/C][/ROW]
[ROW][C]0.42[/C][C]43.8669779043357[/C][C]1.35739226411101[/C][/ROW]
[ROW][C]0.43[/C][C]44.1183506276769[/C][C]1.31720978465855[/C][/ROW]
[ROW][C]0.44[/C][C]44.3634107610919[/C][C]1.29437781715608[/C][/ROW]
[ROW][C]0.45[/C][C]44.6051308882558[/C][C]1.29022608441384[/C][/ROW]
[ROW][C]0.46[/C][C]44.8465280182511[/C][C]1.30391082007145[/C][/ROW]
[ROW][C]0.47[/C][C]45.0903504569083[/C][C]1.33258700196422[/C][/ROW]
[ROW][C]0.48[/C][C]45.3388033385573[/C][C]1.3718343039857[/C][/ROW]
[ROW][C]0.49[/C][C]45.5933368343417[/C][C]1.41621297882459[/C][/ROW]
[ROW][C]0.5[/C][C]45.8545158652832[/C][C]1.4599329620644[/C][/ROW]
[ROW][C]0.51[/C][C]46.1219833589699[/C][C]1.49751735941899[/C][/ROW]
[ROW][C]0.52[/C][C]46.3945206000374[/C][C]1.52406221255563[/C][/ROW]
[ROW][C]0.53[/C][C]46.6701984543729[/C][C]1.53611422077921[/C][/ROW]
[ROW][C]0.54[/C][C]46.9466031854356[/C][C]1.53165872494377[/C][/ROW]
[ROW][C]0.55[/C][C]47.2211116112899[/C][C]1.51043374781534[/C][/ROW]
[ROW][C]0.56[/C][C]47.4911839305621[/C][C]1.47393533693478[/C][/ROW]
[ROW][C]0.57[/C][C]47.7546398790703[/C][C]1.42501322294279[/C][/ROW]
[ROW][C]0.58[/C][C]48.0098856754146[/C][C]1.36778937969012[/C][/ROW]
[ROW][C]0.59[/C][C]48.2560655613056[/C][C]1.30705466208117[/C][/ROW]
[ROW][C]0.6[/C][C]48.4931220774264[/C][C]1.24779394317796[/C][/ROW]
[ROW][C]0.61[/C][C]48.7217623564534[/C][C]1.19454282039473[/C][/ROW]
[ROW][C]0.62[/C][C]48.9433419482275[/C][C]1.15089769950768[/C][/ROW]
[ROW][C]0.63[/C][C]49.1596909313107[/C][C]1.11913706455667[/C][/ROW]
[ROW][C]0.64[/C][C]49.3729170971678[/C][C]1.10002118538576[/C][/ROW]
[ROW][C]0.65[/C][C]49.5852257978174[/C][C]1.09298906625182[/C][/ROW]
[ROW][C]0.66[/C][C]49.7987941308408[/C][C]1.0965733439428[/C][/ROW]
[ROW][C]0.67[/C][C]50.0157278058845[/C][C]1.10927016864583[/C][/ROW]
[ROW][C]0.68[/C][C]50.2381125984441[/C][C]1.13011732009668[/C][/ROW]
[ROW][C]0.69[/C][C]50.4681501990923[/C][C]1.15931793085553[/C][/ROW]
[ROW][C]0.7[/C][C]50.7083432831696[/C][C]1.19838855993861[/C][/ROW]
[ROW][C]0.71[/C][C]50.961671059775[/C][C]1.25042449475918[/C][/ROW]
[ROW][C]0.72[/C][C]51.2316802722236[/C][C]1.31903313254768[/C][/ROW]
[ROW][C]0.73[/C][C]51.5224144891815[/C][C]1.40743509730994[/C][/ROW]
[ROW][C]0.74[/C][C]51.8381228687993[/C][C]1.51667868630325[/C][/ROW]
[ROW][C]0.75[/C][C]52.1827314938767[/C][C]1.6442760471129[/C][/ROW]
[ROW][C]0.76[/C][C]52.559122584592[/C][C]1.78320571998459[/C][/ROW]
[ROW][C]0.77[/C][C]52.9683375835999[/C][C]1.92196026588064[/C][/ROW]
[ROW][C]0.78[/C][C]53.4088796176247[/C][C]2.04602603546264[/C][/ROW]
[ROW][C]0.79[/C][C]53.8763163983222[/C][C]2.13989152626233[/C][/ROW]
[ROW][C]0.8[/C][C]54.3633585127732[/C][C]2.18983307186706[/C][/ROW]
[ROW][C]0.81[/C][C]54.8605063096881[/C][C]2.18701050556278[/C][/ROW]
[ROW][C]0.82[/C][C]55.3572361173774[/C][C]2.1293826008768[/C][/ROW]
[ROW][C]0.83[/C][C]55.8435656880654[/C][C]2.0228303113734[/C][/ROW]
[ROW][C]0.84[/C][C]56.3117422248864[/C][C]1.88062924716126[/C][/ROW]
[ROW][C]0.85[/C][C]56.7577787945506[/C][C]1.72179500505958[/C][/ROW]
[ROW][C]0.86[/C][C]57.1826668986795[/C][C]1.56840500090067[/C][/ROW]
[ROW][C]0.87[/C][C]57.5933403110269[/C][C]1.443086077197[/C][/ROW]
[ROW][C]0.88[/C][C]58.0038331403313[/C][C]1.36723801205351[/C][/ROW]
[ROW][C]0.89[/C][C]58.4374087517629[/C][C]1.36253460207303[/C][/ROW]
[ROW][C]0.9[/C][C]58.9303788666679[/C][C]1.45825615539074[/C][/ROW]
[ROW][C]0.91[/C][C]59.5374906729885[/C][C]1.70222167400482[/C][/ROW]
[ROW][C]0.92[/C][C]60.3375625838772[/C][C]2.15649735767134[/C][/ROW]
[ROW][C]0.93[/C][C]61.4394871212566[/C][C]2.85992420215971[/C][/ROW]
[ROW][C]0.94[/C][C]62.9989228700673[/C][C]3.78327162756665[/C][/ROW]
[ROW][C]0.95[/C][C]65.2756818595637[/C][C]4.86671845673066[/C][/ROW]
[ROW][C]0.96[/C][C]68.7562695915428[/C][C]6.30817250187391[/C][/ROW]
[ROW][C]0.97[/C][C]74.2307972706715[/C][C]9.11823147574693[/C][/ROW]
[ROW][C]0.98[/C][C]82.3753695985064[/C][C]14.7398234220448[/C][/ROW]
[ROW][C]0.99[/C][C]92.293030097474[/C][C]22.815899636119[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207141&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207141&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
0.0132.25447556764960.75514527163897
0.0232.58633432882310.497786527531306
0.0332.88219334034490.407539321209149
0.0433.13986397666580.536206201069628
0.0533.4046946345650.756320234101054
0.0633.71005811973660.967960221406646
0.0734.06183540519721.12483505017254
0.0834.44755621192071.21915381334001
0.0934.84934371318211.26605572475777
0.135.25186605098031.28417691263745
0.1135.64459980066891.28306481198621
0.1236.02082311565491.26276882328347
0.1336.37590430757631.22038044217281
0.1436.70632720487791.15616027092228
0.1537.00967759453831.07585853870563
0.1637.28512044392580.989365918943817
0.1737.53379566092560.908123458442321
0.1837.75880623935770.842260752795214
0.1937.96478112114690.798576370762787
0.238.15719440387380.779529341828063
0.2138.34167320040460.783869943566222
0.2238.5234692185810.808303771536617
0.2338.70716739629630.849274767559889
0.2438.89661035593090.904180342270243
0.2539.09495842414620.971370379330271
0.2639.30478843472721.04960323374443
0.2739.52815280344121.13739014028863
0.2839.76655857263781.23230125372208
0.2940.02086844817661.33066071015218
0.340.29115972152261.42751677213379
0.3140.57659509848251.51716853490981
0.3240.87536001761551.59369969309504
0.3341.18470663838081.65183973694978
0.3441.50112076290341.68766822398957
0.3541.82060116217891.69921675599394
0.3642.13901741656591.68683337029479
0.3742.45249720167181.65300424224611
0.3842.75778933189381.60227637252914
0.3943.05255457105391.54056076305757
0.443.33554975103231.47476968048925
0.4143.60668829989881.411603215539
0.4243.86697790433571.35739226411101
0.4344.11835062767691.31720978465855
0.4444.36341076109191.29437781715608
0.4544.60513088825581.29022608441384
0.4644.84652801825111.30391082007145
0.4745.09035045690831.33258700196422
0.4845.33880333855731.3718343039857
0.4945.59333683434171.41621297882459
0.545.85451586528321.4599329620644
0.5146.12198335896991.49751735941899
0.5246.39452060003741.52406221255563
0.5346.67019845437291.53611422077921
0.5446.94660318543561.53165872494377
0.5547.22111161128991.51043374781534
0.5647.49118393056211.47393533693478
0.5747.75463987907031.42501322294279
0.5848.00988567541461.36778937969012
0.5948.25606556130561.30705466208117
0.648.49312207742641.24779394317796
0.6148.72176235645341.19454282039473
0.6248.94334194822751.15089769950768
0.6349.15969093131071.11913706455667
0.6449.37291709716781.10002118538576
0.6549.58522579781741.09298906625182
0.6649.79879413084081.0965733439428
0.6750.01572780588451.10927016864583
0.6850.23811259844411.13011732009668
0.6950.46815019909231.15931793085553
0.750.70834328316961.19838855993861
0.7150.9616710597751.25042449475918
0.7251.23168027222361.31903313254768
0.7351.52241448918151.40743509730994
0.7451.83812286879931.51667868630325
0.7552.18273149387671.6442760471129
0.7652.5591225845921.78320571998459
0.7752.96833758359991.92196026588064
0.7853.40887961762472.04602603546264
0.7953.87631639832222.13989152626233
0.854.36335851277322.18983307186706
0.8154.86050630968812.18701050556278
0.8255.35723611737742.1293826008768
0.8355.84356568806542.0228303113734
0.8456.31174222488641.88062924716126
0.8556.75777879455061.72179500505958
0.8657.18266689867951.56840500090067
0.8757.59334031102691.443086077197
0.8858.00383314033131.36723801205351
0.8958.43740875176291.36253460207303
0.958.93037886666791.45825615539074
0.9159.53749067298851.70222167400482
0.9260.33756258387722.15649735767134
0.9361.43948712125662.85992420215971
0.9462.99892287006733.78327162756665
0.9565.27568185956374.86671845673066
0.9668.75626959154286.30817250187391
0.9774.23079727067159.11823147574693
0.9882.375369598506414.7398234220448
0.9992.29303009747422.815899636119


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):
par3 <- '0.1'
par2 <- '0.9'
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')