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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 20 Oct 2009 13:08:19 -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/Oct/20/t12560659921o9ydv16x2d8g6a.htm/, Retrieved Fri, 03 May 2024 02:37:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49026, Retrieved Fri, 03 May 2024 02:37:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [SHW_WS3_Yt=c+Xt] [2009-10-16 08:10:06] [8b1aef4e7013bd33fbc2a5833375c5f5]
-    D  [Central Tendency] [Berekening pt 2 (2)] [2009-10-20 18:47:10] [7d268329e554b8694908ba13e6e6f258]
- RM D      [Harrell-Davis Quantiles] [Berekening pt 3 (1)] [2009-10-20 19:08:19] [5edea6bc5a9a9483633d9320282a2734] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.35
1.30
1.23
1.21
1.22
1.23
1.22
1.21
1.19
1.27
1.35
1.37
1.34
1.25
1.19
1.18
1.16
1.15
1.12
1.10
1.14
1.23
1.42
1.52
1.46
1.35
1.29
1.27
1.26
1.28
1.32
1.31
1.29
1.30
1.25
1.23
1.20
1.25
1.27
1.23
1.16
1.12
1.11
1.11
1.12
1.13
1.14
1.19
1.20
1.30
1.29
1.26
1.17
1.09
1.04
1.00
0.97
0.97
1.01
1.05

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49026&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49026&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49026&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.9721568016503920.00688020408711784
0.020.9771317204592390.0154131221256642
0.030.9848859221727520.0224865797792256
0.040.9947409996027620.0274087445590958
0.051.005866112107790.0308568769400476
0.061.01758559347440.0334635477607923
0.071.029440112674050.0353419780705025
0.081.041117143573890.0363115693931899
0.091.052371452822720.0361984627473323
0.11.062988374162170.0349820724174074
0.111.072786950568640.0328189461209188
0.121.081639709197060.0299947516750471
0.131.089489143453260.026863256843898
0.141.096351592032230.0237712950702930
0.151.102308064228860.0210096558520475
0.161.107486264698960.0187829987947472
0.171.112039301404320.0171916001195893
0.181.116125710392670.0162446849394656
0.191.119893708933360.0158713689681006
0.21.123470824435230.0159554122131494
0.211.126958697160500.0163630700049768
0.221.130432066244300.0169740802347744
0.231.133940658435080.0176853455421469
0.241.137512750481430.0184181601361805
0.251.141159408253510.0191133610140263
0.261.144878699174720.0197308609234744
0.271.148659458291520.0202434663293551
0.281.152484426175310.020631824584996
0.291.156332752073200.0208876366168690
0.31.160181962050380.0210043496113320
0.311.164009531404280.0209842373380854
0.321.167794184433970.0208357145199388
0.331.171516992093320.0205695970700597
0.341.175162273407810.0202080070937933
0.351.178718253394570.0197756027907324
0.361.182177405848340.0193015358293901
0.371.185536420803360.0188109978951290
0.381.188795779754680.0183322399415348
0.391.191958983922560.0178792289625188
0.41.19503154442530.0174645245318109
0.411.198019890968990.0170882629781512
0.421.200930374947340.0167428044542926
0.431.203768528268450.0164182405846147
0.441.206538693192500.0161024785887427
0.451.209244069982800.0157847548563037
0.461.211887151466180.0154603747660799
0.471.214470441259620.0151308274659327
0.481.216997298709390.0148050374752297
0.491.219472728258510.0145000376944748
0.51.221903938759710.0142364426430964
0.511.224300538202030.0140353844993480
0.521.226674294759020.0139136097816582
0.531.22903847456770.0138830953155044
0.541.231406845795320.0139453370870357
0.551.233792502448840.0140898581750213
0.561.236206697520530.0142949441042873
0.571.238657875970680.014535630058759
0.581.241151063071170.0147848126237190
0.591.243687699313860.0150137815938420
0.61.246265931952920.0152025492954135
0.611.248881291259660.0153372644893312
0.621.251527612824980.0154115119893767
0.631.254198028788570.0154295656813015
0.641.256885848249950.0153967057399637
0.651.259585181159080.0153276921976736
0.661.262291224866400.0152314153226766
0.671.265000216838380.0151162120532929
0.681.267709145644690.0149879721893348
0.691.270415388422420.0148458751039279
0.71.273116490564970.0146849544877855
0.711.275810309292520.0145007325185881
0.721.278495698929340.0142907176455643
0.731.281173820474190.0140603092531702
0.741.283850017064930.0138275349243902
0.751.286536023744310.0136248663815161
0.761.289252096728970.0135008096886659
0.771.29202848659640.0135136666288641
0.781.294905586170880.0137259397490522
0.791.297932115164790.0141886773352740
0.81.301160926106740.0149218109774124
0.811.304642489978890.0159007239261612
0.821.308416870891440.0170473457353441
0.831.312505976151970.0182359385190865
0.841.316908896933550.0193113433381754
0.851.321603903629690.0201200998884059
0.861.326560645546250.0205606433939539
0.871.331764771370380.0206327180957084
0.881.337254096210090.0204998664051003
0.891.343160599600300.0205372625875168
0.91.349746867490610.0213233383153755
0.911.357421421630770.0234737344351599
0.921.366718524663140.0273146594042839
0.931.378238204741820.0326124436696713
0.941.392559475205660.0385718776845809
0.951.410145980849230.0440560366363947
0.961.431218520866970.0480452481007264
0.971.455446618417750.0503781057798763
0.981.481229621808880.0523296601015136
0.991.504718489572280.0555201717289955

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.972156801650392 & 0.00688020408711784 \tabularnewline
0.02 & 0.977131720459239 & 0.0154131221256642 \tabularnewline
0.03 & 0.984885922172752 & 0.0224865797792256 \tabularnewline
0.04 & 0.994740999602762 & 0.0274087445590958 \tabularnewline
0.05 & 1.00586611210779 & 0.0308568769400476 \tabularnewline
0.06 & 1.0175855934744 & 0.0334635477607923 \tabularnewline
0.07 & 1.02944011267405 & 0.0353419780705025 \tabularnewline
0.08 & 1.04111714357389 & 0.0363115693931899 \tabularnewline
0.09 & 1.05237145282272 & 0.0361984627473323 \tabularnewline
0.1 & 1.06298837416217 & 0.0349820724174074 \tabularnewline
0.11 & 1.07278695056864 & 0.0328189461209188 \tabularnewline
0.12 & 1.08163970919706 & 0.0299947516750471 \tabularnewline
0.13 & 1.08948914345326 & 0.026863256843898 \tabularnewline
0.14 & 1.09635159203223 & 0.0237712950702930 \tabularnewline
0.15 & 1.10230806422886 & 0.0210096558520475 \tabularnewline
0.16 & 1.10748626469896 & 0.0187829987947472 \tabularnewline
0.17 & 1.11203930140432 & 0.0171916001195893 \tabularnewline
0.18 & 1.11612571039267 & 0.0162446849394656 \tabularnewline
0.19 & 1.11989370893336 & 0.0158713689681006 \tabularnewline
0.2 & 1.12347082443523 & 0.0159554122131494 \tabularnewline
0.21 & 1.12695869716050 & 0.0163630700049768 \tabularnewline
0.22 & 1.13043206624430 & 0.0169740802347744 \tabularnewline
0.23 & 1.13394065843508 & 0.0176853455421469 \tabularnewline
0.24 & 1.13751275048143 & 0.0184181601361805 \tabularnewline
0.25 & 1.14115940825351 & 0.0191133610140263 \tabularnewline
0.26 & 1.14487869917472 & 0.0197308609234744 \tabularnewline
0.27 & 1.14865945829152 & 0.0202434663293551 \tabularnewline
0.28 & 1.15248442617531 & 0.020631824584996 \tabularnewline
0.29 & 1.15633275207320 & 0.0208876366168690 \tabularnewline
0.3 & 1.16018196205038 & 0.0210043496113320 \tabularnewline
0.31 & 1.16400953140428 & 0.0209842373380854 \tabularnewline
0.32 & 1.16779418443397 & 0.0208357145199388 \tabularnewline
0.33 & 1.17151699209332 & 0.0205695970700597 \tabularnewline
0.34 & 1.17516227340781 & 0.0202080070937933 \tabularnewline
0.35 & 1.17871825339457 & 0.0197756027907324 \tabularnewline
0.36 & 1.18217740584834 & 0.0193015358293901 \tabularnewline
0.37 & 1.18553642080336 & 0.0188109978951290 \tabularnewline
0.38 & 1.18879577975468 & 0.0183322399415348 \tabularnewline
0.39 & 1.19195898392256 & 0.0178792289625188 \tabularnewline
0.4 & 1.1950315444253 & 0.0174645245318109 \tabularnewline
0.41 & 1.19801989096899 & 0.0170882629781512 \tabularnewline
0.42 & 1.20093037494734 & 0.0167428044542926 \tabularnewline
0.43 & 1.20376852826845 & 0.0164182405846147 \tabularnewline
0.44 & 1.20653869319250 & 0.0161024785887427 \tabularnewline
0.45 & 1.20924406998280 & 0.0157847548563037 \tabularnewline
0.46 & 1.21188715146618 & 0.0154603747660799 \tabularnewline
0.47 & 1.21447044125962 & 0.0151308274659327 \tabularnewline
0.48 & 1.21699729870939 & 0.0148050374752297 \tabularnewline
0.49 & 1.21947272825851 & 0.0145000376944748 \tabularnewline
0.5 & 1.22190393875971 & 0.0142364426430964 \tabularnewline
0.51 & 1.22430053820203 & 0.0140353844993480 \tabularnewline
0.52 & 1.22667429475902 & 0.0139136097816582 \tabularnewline
0.53 & 1.2290384745677 & 0.0138830953155044 \tabularnewline
0.54 & 1.23140684579532 & 0.0139453370870357 \tabularnewline
0.55 & 1.23379250244884 & 0.0140898581750213 \tabularnewline
0.56 & 1.23620669752053 & 0.0142949441042873 \tabularnewline
0.57 & 1.23865787597068 & 0.014535630058759 \tabularnewline
0.58 & 1.24115106307117 & 0.0147848126237190 \tabularnewline
0.59 & 1.24368769931386 & 0.0150137815938420 \tabularnewline
0.6 & 1.24626593195292 & 0.0152025492954135 \tabularnewline
0.61 & 1.24888129125966 & 0.0153372644893312 \tabularnewline
0.62 & 1.25152761282498 & 0.0154115119893767 \tabularnewline
0.63 & 1.25419802878857 & 0.0154295656813015 \tabularnewline
0.64 & 1.25688584824995 & 0.0153967057399637 \tabularnewline
0.65 & 1.25958518115908 & 0.0153276921976736 \tabularnewline
0.66 & 1.26229122486640 & 0.0152314153226766 \tabularnewline
0.67 & 1.26500021683838 & 0.0151162120532929 \tabularnewline
0.68 & 1.26770914564469 & 0.0149879721893348 \tabularnewline
0.69 & 1.27041538842242 & 0.0148458751039279 \tabularnewline
0.7 & 1.27311649056497 & 0.0146849544877855 \tabularnewline
0.71 & 1.27581030929252 & 0.0145007325185881 \tabularnewline
0.72 & 1.27849569892934 & 0.0142907176455643 \tabularnewline
0.73 & 1.28117382047419 & 0.0140603092531702 \tabularnewline
0.74 & 1.28385001706493 & 0.0138275349243902 \tabularnewline
0.75 & 1.28653602374431 & 0.0136248663815161 \tabularnewline
0.76 & 1.28925209672897 & 0.0135008096886659 \tabularnewline
0.77 & 1.2920284865964 & 0.0135136666288641 \tabularnewline
0.78 & 1.29490558617088 & 0.0137259397490522 \tabularnewline
0.79 & 1.29793211516479 & 0.0141886773352740 \tabularnewline
0.8 & 1.30116092610674 & 0.0149218109774124 \tabularnewline
0.81 & 1.30464248997889 & 0.0159007239261612 \tabularnewline
0.82 & 1.30841687089144 & 0.0170473457353441 \tabularnewline
0.83 & 1.31250597615197 & 0.0182359385190865 \tabularnewline
0.84 & 1.31690889693355 & 0.0193113433381754 \tabularnewline
0.85 & 1.32160390362969 & 0.0201200998884059 \tabularnewline
0.86 & 1.32656064554625 & 0.0205606433939539 \tabularnewline
0.87 & 1.33176477137038 & 0.0206327180957084 \tabularnewline
0.88 & 1.33725409621009 & 0.0204998664051003 \tabularnewline
0.89 & 1.34316059960030 & 0.0205372625875168 \tabularnewline
0.9 & 1.34974686749061 & 0.0213233383153755 \tabularnewline
0.91 & 1.35742142163077 & 0.0234737344351599 \tabularnewline
0.92 & 1.36671852466314 & 0.0273146594042839 \tabularnewline
0.93 & 1.37823820474182 & 0.0326124436696713 \tabularnewline
0.94 & 1.39255947520566 & 0.0385718776845809 \tabularnewline
0.95 & 1.41014598084923 & 0.0440560366363947 \tabularnewline
0.96 & 1.43121852086697 & 0.0480452481007264 \tabularnewline
0.97 & 1.45544661841775 & 0.0503781057798763 \tabularnewline
0.98 & 1.48122962180888 & 0.0523296601015136 \tabularnewline
0.99 & 1.50471848957228 & 0.0555201717289955 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49026&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]0.972156801650392[/C][C]0.00688020408711784[/C][/ROW]
[ROW][C]0.02[/C][C]0.977131720459239[/C][C]0.0154131221256642[/C][/ROW]
[ROW][C]0.03[/C][C]0.984885922172752[/C][C]0.0224865797792256[/C][/ROW]
[ROW][C]0.04[/C][C]0.994740999602762[/C][C]0.0274087445590958[/C][/ROW]
[ROW][C]0.05[/C][C]1.00586611210779[/C][C]0.0308568769400476[/C][/ROW]
[ROW][C]0.06[/C][C]1.0175855934744[/C][C]0.0334635477607923[/C][/ROW]
[ROW][C]0.07[/C][C]1.02944011267405[/C][C]0.0353419780705025[/C][/ROW]
[ROW][C]0.08[/C][C]1.04111714357389[/C][C]0.0363115693931899[/C][/ROW]
[ROW][C]0.09[/C][C]1.05237145282272[/C][C]0.0361984627473323[/C][/ROW]
[ROW][C]0.1[/C][C]1.06298837416217[/C][C]0.0349820724174074[/C][/ROW]
[ROW][C]0.11[/C][C]1.07278695056864[/C][C]0.0328189461209188[/C][/ROW]
[ROW][C]0.12[/C][C]1.08163970919706[/C][C]0.0299947516750471[/C][/ROW]
[ROW][C]0.13[/C][C]1.08948914345326[/C][C]0.026863256843898[/C][/ROW]
[ROW][C]0.14[/C][C]1.09635159203223[/C][C]0.0237712950702930[/C][/ROW]
[ROW][C]0.15[/C][C]1.10230806422886[/C][C]0.0210096558520475[/C][/ROW]
[ROW][C]0.16[/C][C]1.10748626469896[/C][C]0.0187829987947472[/C][/ROW]
[ROW][C]0.17[/C][C]1.11203930140432[/C][C]0.0171916001195893[/C][/ROW]
[ROW][C]0.18[/C][C]1.11612571039267[/C][C]0.0162446849394656[/C][/ROW]
[ROW][C]0.19[/C][C]1.11989370893336[/C][C]0.0158713689681006[/C][/ROW]
[ROW][C]0.2[/C][C]1.12347082443523[/C][C]0.0159554122131494[/C][/ROW]
[ROW][C]0.21[/C][C]1.12695869716050[/C][C]0.0163630700049768[/C][/ROW]
[ROW][C]0.22[/C][C]1.13043206624430[/C][C]0.0169740802347744[/C][/ROW]
[ROW][C]0.23[/C][C]1.13394065843508[/C][C]0.0176853455421469[/C][/ROW]
[ROW][C]0.24[/C][C]1.13751275048143[/C][C]0.0184181601361805[/C][/ROW]
[ROW][C]0.25[/C][C]1.14115940825351[/C][C]0.0191133610140263[/C][/ROW]
[ROW][C]0.26[/C][C]1.14487869917472[/C][C]0.0197308609234744[/C][/ROW]
[ROW][C]0.27[/C][C]1.14865945829152[/C][C]0.0202434663293551[/C][/ROW]
[ROW][C]0.28[/C][C]1.15248442617531[/C][C]0.020631824584996[/C][/ROW]
[ROW][C]0.29[/C][C]1.15633275207320[/C][C]0.0208876366168690[/C][/ROW]
[ROW][C]0.3[/C][C]1.16018196205038[/C][C]0.0210043496113320[/C][/ROW]
[ROW][C]0.31[/C][C]1.16400953140428[/C][C]0.0209842373380854[/C][/ROW]
[ROW][C]0.32[/C][C]1.16779418443397[/C][C]0.0208357145199388[/C][/ROW]
[ROW][C]0.33[/C][C]1.17151699209332[/C][C]0.0205695970700597[/C][/ROW]
[ROW][C]0.34[/C][C]1.17516227340781[/C][C]0.0202080070937933[/C][/ROW]
[ROW][C]0.35[/C][C]1.17871825339457[/C][C]0.0197756027907324[/C][/ROW]
[ROW][C]0.36[/C][C]1.18217740584834[/C][C]0.0193015358293901[/C][/ROW]
[ROW][C]0.37[/C][C]1.18553642080336[/C][C]0.0188109978951290[/C][/ROW]
[ROW][C]0.38[/C][C]1.18879577975468[/C][C]0.0183322399415348[/C][/ROW]
[ROW][C]0.39[/C][C]1.19195898392256[/C][C]0.0178792289625188[/C][/ROW]
[ROW][C]0.4[/C][C]1.1950315444253[/C][C]0.0174645245318109[/C][/ROW]
[ROW][C]0.41[/C][C]1.19801989096899[/C][C]0.0170882629781512[/C][/ROW]
[ROW][C]0.42[/C][C]1.20093037494734[/C][C]0.0167428044542926[/C][/ROW]
[ROW][C]0.43[/C][C]1.20376852826845[/C][C]0.0164182405846147[/C][/ROW]
[ROW][C]0.44[/C][C]1.20653869319250[/C][C]0.0161024785887427[/C][/ROW]
[ROW][C]0.45[/C][C]1.20924406998280[/C][C]0.0157847548563037[/C][/ROW]
[ROW][C]0.46[/C][C]1.21188715146618[/C][C]0.0154603747660799[/C][/ROW]
[ROW][C]0.47[/C][C]1.21447044125962[/C][C]0.0151308274659327[/C][/ROW]
[ROW][C]0.48[/C][C]1.21699729870939[/C][C]0.0148050374752297[/C][/ROW]
[ROW][C]0.49[/C][C]1.21947272825851[/C][C]0.0145000376944748[/C][/ROW]
[ROW][C]0.5[/C][C]1.22190393875971[/C][C]0.0142364426430964[/C][/ROW]
[ROW][C]0.51[/C][C]1.22430053820203[/C][C]0.0140353844993480[/C][/ROW]
[ROW][C]0.52[/C][C]1.22667429475902[/C][C]0.0139136097816582[/C][/ROW]
[ROW][C]0.53[/C][C]1.2290384745677[/C][C]0.0138830953155044[/C][/ROW]
[ROW][C]0.54[/C][C]1.23140684579532[/C][C]0.0139453370870357[/C][/ROW]
[ROW][C]0.55[/C][C]1.23379250244884[/C][C]0.0140898581750213[/C][/ROW]
[ROW][C]0.56[/C][C]1.23620669752053[/C][C]0.0142949441042873[/C][/ROW]
[ROW][C]0.57[/C][C]1.23865787597068[/C][C]0.014535630058759[/C][/ROW]
[ROW][C]0.58[/C][C]1.24115106307117[/C][C]0.0147848126237190[/C][/ROW]
[ROW][C]0.59[/C][C]1.24368769931386[/C][C]0.0150137815938420[/C][/ROW]
[ROW][C]0.6[/C][C]1.24626593195292[/C][C]0.0152025492954135[/C][/ROW]
[ROW][C]0.61[/C][C]1.24888129125966[/C][C]0.0153372644893312[/C][/ROW]
[ROW][C]0.62[/C][C]1.25152761282498[/C][C]0.0154115119893767[/C][/ROW]
[ROW][C]0.63[/C][C]1.25419802878857[/C][C]0.0154295656813015[/C][/ROW]
[ROW][C]0.64[/C][C]1.25688584824995[/C][C]0.0153967057399637[/C][/ROW]
[ROW][C]0.65[/C][C]1.25958518115908[/C][C]0.0153276921976736[/C][/ROW]
[ROW][C]0.66[/C][C]1.26229122486640[/C][C]0.0152314153226766[/C][/ROW]
[ROW][C]0.67[/C][C]1.26500021683838[/C][C]0.0151162120532929[/C][/ROW]
[ROW][C]0.68[/C][C]1.26770914564469[/C][C]0.0149879721893348[/C][/ROW]
[ROW][C]0.69[/C][C]1.27041538842242[/C][C]0.0148458751039279[/C][/ROW]
[ROW][C]0.7[/C][C]1.27311649056497[/C][C]0.0146849544877855[/C][/ROW]
[ROW][C]0.71[/C][C]1.27581030929252[/C][C]0.0145007325185881[/C][/ROW]
[ROW][C]0.72[/C][C]1.27849569892934[/C][C]0.0142907176455643[/C][/ROW]
[ROW][C]0.73[/C][C]1.28117382047419[/C][C]0.0140603092531702[/C][/ROW]
[ROW][C]0.74[/C][C]1.28385001706493[/C][C]0.0138275349243902[/C][/ROW]
[ROW][C]0.75[/C][C]1.28653602374431[/C][C]0.0136248663815161[/C][/ROW]
[ROW][C]0.76[/C][C]1.28925209672897[/C][C]0.0135008096886659[/C][/ROW]
[ROW][C]0.77[/C][C]1.2920284865964[/C][C]0.0135136666288641[/C][/ROW]
[ROW][C]0.78[/C][C]1.29490558617088[/C][C]0.0137259397490522[/C][/ROW]
[ROW][C]0.79[/C][C]1.29793211516479[/C][C]0.0141886773352740[/C][/ROW]
[ROW][C]0.8[/C][C]1.30116092610674[/C][C]0.0149218109774124[/C][/ROW]
[ROW][C]0.81[/C][C]1.30464248997889[/C][C]0.0159007239261612[/C][/ROW]
[ROW][C]0.82[/C][C]1.30841687089144[/C][C]0.0170473457353441[/C][/ROW]
[ROW][C]0.83[/C][C]1.31250597615197[/C][C]0.0182359385190865[/C][/ROW]
[ROW][C]0.84[/C][C]1.31690889693355[/C][C]0.0193113433381754[/C][/ROW]
[ROW][C]0.85[/C][C]1.32160390362969[/C][C]0.0201200998884059[/C][/ROW]
[ROW][C]0.86[/C][C]1.32656064554625[/C][C]0.0205606433939539[/C][/ROW]
[ROW][C]0.87[/C][C]1.33176477137038[/C][C]0.0206327180957084[/C][/ROW]
[ROW][C]0.88[/C][C]1.33725409621009[/C][C]0.0204998664051003[/C][/ROW]
[ROW][C]0.89[/C][C]1.34316059960030[/C][C]0.0205372625875168[/C][/ROW]
[ROW][C]0.9[/C][C]1.34974686749061[/C][C]0.0213233383153755[/C][/ROW]
[ROW][C]0.91[/C][C]1.35742142163077[/C][C]0.0234737344351599[/C][/ROW]
[ROW][C]0.92[/C][C]1.36671852466314[/C][C]0.0273146594042839[/C][/ROW]
[ROW][C]0.93[/C][C]1.37823820474182[/C][C]0.0326124436696713[/C][/ROW]
[ROW][C]0.94[/C][C]1.39255947520566[/C][C]0.0385718776845809[/C][/ROW]
[ROW][C]0.95[/C][C]1.41014598084923[/C][C]0.0440560366363947[/C][/ROW]
[ROW][C]0.96[/C][C]1.43121852086697[/C][C]0.0480452481007264[/C][/ROW]
[ROW][C]0.97[/C][C]1.45544661841775[/C][C]0.0503781057798763[/C][/ROW]
[ROW][C]0.98[/C][C]1.48122962180888[/C][C]0.0523296601015136[/C][/ROW]
[ROW][C]0.99[/C][C]1.50471848957228[/C][C]0.0555201717289955[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49026&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49026&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.9721568016503920.00688020408711784
0.020.9771317204592390.0154131221256642
0.030.9848859221727520.0224865797792256
0.040.9947409996027620.0274087445590958
0.051.005866112107790.0308568769400476
0.061.01758559347440.0334635477607923
0.071.029440112674050.0353419780705025
0.081.041117143573890.0363115693931899
0.091.052371452822720.0361984627473323
0.11.062988374162170.0349820724174074
0.111.072786950568640.0328189461209188
0.121.081639709197060.0299947516750471
0.131.089489143453260.026863256843898
0.141.096351592032230.0237712950702930
0.151.102308064228860.0210096558520475
0.161.107486264698960.0187829987947472
0.171.112039301404320.0171916001195893
0.181.116125710392670.0162446849394656
0.191.119893708933360.0158713689681006
0.21.123470824435230.0159554122131494
0.211.126958697160500.0163630700049768
0.221.130432066244300.0169740802347744
0.231.133940658435080.0176853455421469
0.241.137512750481430.0184181601361805
0.251.141159408253510.0191133610140263
0.261.144878699174720.0197308609234744
0.271.148659458291520.0202434663293551
0.281.152484426175310.020631824584996
0.291.156332752073200.0208876366168690
0.31.160181962050380.0210043496113320
0.311.164009531404280.0209842373380854
0.321.167794184433970.0208357145199388
0.331.171516992093320.0205695970700597
0.341.175162273407810.0202080070937933
0.351.178718253394570.0197756027907324
0.361.182177405848340.0193015358293901
0.371.185536420803360.0188109978951290
0.381.188795779754680.0183322399415348
0.391.191958983922560.0178792289625188
0.41.19503154442530.0174645245318109
0.411.198019890968990.0170882629781512
0.421.200930374947340.0167428044542926
0.431.203768528268450.0164182405846147
0.441.206538693192500.0161024785887427
0.451.209244069982800.0157847548563037
0.461.211887151466180.0154603747660799
0.471.214470441259620.0151308274659327
0.481.216997298709390.0148050374752297
0.491.219472728258510.0145000376944748
0.51.221903938759710.0142364426430964
0.511.224300538202030.0140353844993480
0.521.226674294759020.0139136097816582
0.531.22903847456770.0138830953155044
0.541.231406845795320.0139453370870357
0.551.233792502448840.0140898581750213
0.561.236206697520530.0142949441042873
0.571.238657875970680.014535630058759
0.581.241151063071170.0147848126237190
0.591.243687699313860.0150137815938420
0.61.246265931952920.0152025492954135
0.611.248881291259660.0153372644893312
0.621.251527612824980.0154115119893767
0.631.254198028788570.0154295656813015
0.641.256885848249950.0153967057399637
0.651.259585181159080.0153276921976736
0.661.262291224866400.0152314153226766
0.671.265000216838380.0151162120532929
0.681.267709145644690.0149879721893348
0.691.270415388422420.0148458751039279
0.71.273116490564970.0146849544877855
0.711.275810309292520.0145007325185881
0.721.278495698929340.0142907176455643
0.731.281173820474190.0140603092531702
0.741.283850017064930.0138275349243902
0.751.286536023744310.0136248663815161
0.761.289252096728970.0135008096886659
0.771.29202848659640.0135136666288641
0.781.294905586170880.0137259397490522
0.791.297932115164790.0141886773352740
0.81.301160926106740.0149218109774124
0.811.304642489978890.0159007239261612
0.821.308416870891440.0170473457353441
0.831.312505976151970.0182359385190865
0.841.316908896933550.0193113433381754
0.851.321603903629690.0201200998884059
0.861.326560645546250.0205606433939539
0.871.331764771370380.0206327180957084
0.881.337254096210090.0204998664051003
0.891.343160599600300.0205372625875168
0.91.349746867490610.0213233383153755
0.911.357421421630770.0234737344351599
0.921.366718524663140.0273146594042839
0.931.378238204741820.0326124436696713
0.941.392559475205660.0385718776845809
0.951.410145980849230.0440560366363947
0.961.431218520866970.0480452481007264
0.971.455446618417750.0503781057798763
0.981.481229621808880.0523296601015136
0.991.504718489572280.0555201717289955


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')