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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 21 Oct 2009 15:25:35 -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/21/t1256160367t0s4dtz5h9ho8f6.htm/, Retrieved Thu, 02 May 2024 02:38:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49621, Retrieved Thu, 02 May 2024 02:38:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94

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 qu...] [2009-10-21 21:25:35] [abbb6febea381ea822009ab8520873eb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-84
-84
-90
-84
-57
-32
-80
-121
-143
-132
-110
-84
-72
-54
-75
-17
-26
-60
-52
-60
-28
-26
-20
-22
24
7
-88
-9
13
-12
10
26
11
-8
-16
-16
-8
0
-12
0
3
3
28
-9
11
0
11
-54
0
66
75
-80
-24
0
88
38
-54
-34
-55
-66

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=49621&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=49621&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49621&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
0.01-139.85135645182311.0571045251804
0.02-134.66097263552912.1557330880851
0.03-128.40163560899313.8590225573194
0.04-121.80335108752015.3736081748197
0.05-115.30003589017316.1193895839514
0.06-109.16949053539715.8733945656991
0.07-103.61747388206814.7097230111368
0.08-98.78579914162712.9050657809727
0.09-94.736400126002710.8215920676726
0.1-91.44718684570768.79984544062023
0.11-88.82696577703957.09570549974936
0.12-86.74171061008285.86423643124337
0.13-85.0420323875915.16730740605269
0.14-83.58509767754984.97830568813047
0.15-82.24857830770075.19584747882611
0.16-80.93725759702675.68874120847384
0.17-79.58426005805616.33680546405364
0.18-78.14897621074427.04370403440042
0.19-76.61326791564347.73340641755895
0.2-74.97694662545848.34695892387528
0.21-73.25305910512338.841883380148
0.22-71.46325106901059.19296092489041
0.23-69.63337312953399.39277105871946
0.24-67.78948122850399.4517997472403
0.25-65.95440622699829.39646396756942
0.26-64.1450823919869.26701910916259
0.27-62.37080839940779.11250878438426
0.28-60.63255955374038.98588640501438
0.29-58.92338106909568.93656494652408
0.3-57.22978271756749.00314926637119
0.31-55.5339425522829.20598810586035
0.32-53.81643027517699.54293449943592
0.33-52.05909574207759.98993997056045
0.34-50.247747451443410.5054466539467
0.35-48.374275819017811.0373141856562
0.36-46.437955036963911.5306185406765
0.37-44.445775419367611.9343892965303
0.38-42.411797867017312.2073445364570
0.39-40.355661026893812.3219505518681
0.4-38.300486665339312.2665804146095
0.41-36.270500519725812.0456438737087
0.42-34.288703468339511.6779502005665
0.43-32.374890926624311.1932289449690
0.44-30.544237127796410.6279228931283
0.45-28.806553469261410.0204532862424
0.46-27.16621803190869.4068516856431
0.47-25.62267698383258.81739362880544
0.48-24.17135266765558.2743481068921
0.49-22.80476468104307.79115503213358
0.5-21.51367798339437.37316163186808
0.51-20.28812822353827.0191271278432
0.52-19.11822749838586.72352580792743
0.53-17.99471125918466.47874760477374
0.54-16.90923846557386.27691262307491
0.55-15.85449501154186.11105919697005
0.56-14.82417129861945.975612155686
0.57-13.81288831963305.86625266241097
0.58-12.81613494384925.77938353884525
0.59-11.83025611032985.71142081996803
0.6-10.85250221696595.65798054584719
0.61-9.881119664024955.61340960187211
0.62-8.915437129294165.57067890703521
0.63-7.955887383187455.52184088943305
0.64-7.003904882004945.45909044915993
0.65-6.061657297385755.37612334779298
0.66-5.131603318746765.26974634799552
0.67-4.215913993258445.14105807742806
0.68-3.315840963088874.99617581322001
0.69-2.431150019731354.84601180384831
0.7-1.559750202319584.70492528850566
0.71-0.6976282566510494.58827428384608
0.720.1608569113449384.50906492886596
0.731.022349058572214.4744967296957
0.741.893665385326234.48361085959549
0.752.780977963185424.5272311635662
0.763.689272124692884.59060011776563
0.774.622338003575514.65806424317151
0.785.58346333161324.71864215428968
0.796.576831319625224.77127084462878
0.87.609415243945214.82855154998635
0.818.692961047293924.91759832191387
0.829.845548394036965.07615280610564
0.8311.09231496327965.34273749397801
0.8412.46528161199575.74327473826141
0.8514.00279748322446.28167646846016
0.8615.74974545656436.94263970854566
0.8717.75992786512087.70882289720668
0.8820.10147242814758.58731900261097
0.8922.8642245381799.63422749765584
0.926.164997991628710.9558835575952
0.9130.143376765968912.659235276758
0.9234.940027131673714.7449065483294
0.9340.654471383492316.9897568368709
0.9447.291322241696718.9021368651205
0.9554.717465613404119.8250333675689
0.9662.651351109194419.2274927676365
0.9770.671611256717517.1424442374952
0.9878.183407820773914.5348036234439
0.9984.318850924076412.9507965206529

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -139.851356451823 & 11.0571045251804 \tabularnewline
0.02 & -134.660972635529 & 12.1557330880851 \tabularnewline
0.03 & -128.401635608993 & 13.8590225573194 \tabularnewline
0.04 & -121.803351087520 & 15.3736081748197 \tabularnewline
0.05 & -115.300035890173 & 16.1193895839514 \tabularnewline
0.06 & -109.169490535397 & 15.8733945656991 \tabularnewline
0.07 & -103.617473882068 & 14.7097230111368 \tabularnewline
0.08 & -98.785799141627 & 12.9050657809727 \tabularnewline
0.09 & -94.7364001260027 & 10.8215920676726 \tabularnewline
0.1 & -91.4471868457076 & 8.79984544062023 \tabularnewline
0.11 & -88.8269657770395 & 7.09570549974936 \tabularnewline
0.12 & -86.7417106100828 & 5.86423643124337 \tabularnewline
0.13 & -85.042032387591 & 5.16730740605269 \tabularnewline
0.14 & -83.5850976775498 & 4.97830568813047 \tabularnewline
0.15 & -82.2485783077007 & 5.19584747882611 \tabularnewline
0.16 & -80.9372575970267 & 5.68874120847384 \tabularnewline
0.17 & -79.5842600580561 & 6.33680546405364 \tabularnewline
0.18 & -78.1489762107442 & 7.04370403440042 \tabularnewline
0.19 & -76.6132679156434 & 7.73340641755895 \tabularnewline
0.2 & -74.9769466254584 & 8.34695892387528 \tabularnewline
0.21 & -73.2530591051233 & 8.841883380148 \tabularnewline
0.22 & -71.4632510690105 & 9.19296092489041 \tabularnewline
0.23 & -69.6333731295339 & 9.39277105871946 \tabularnewline
0.24 & -67.7894812285039 & 9.4517997472403 \tabularnewline
0.25 & -65.9544062269982 & 9.39646396756942 \tabularnewline
0.26 & -64.145082391986 & 9.26701910916259 \tabularnewline
0.27 & -62.3708083994077 & 9.11250878438426 \tabularnewline
0.28 & -60.6325595537403 & 8.98588640501438 \tabularnewline
0.29 & -58.9233810690956 & 8.93656494652408 \tabularnewline
0.3 & -57.2297827175674 & 9.00314926637119 \tabularnewline
0.31 & -55.533942552282 & 9.20598810586035 \tabularnewline
0.32 & -53.8164302751769 & 9.54293449943592 \tabularnewline
0.33 & -52.0590957420775 & 9.98993997056045 \tabularnewline
0.34 & -50.2477474514434 & 10.5054466539467 \tabularnewline
0.35 & -48.3742758190178 & 11.0373141856562 \tabularnewline
0.36 & -46.4379550369639 & 11.5306185406765 \tabularnewline
0.37 & -44.4457754193676 & 11.9343892965303 \tabularnewline
0.38 & -42.4117978670173 & 12.2073445364570 \tabularnewline
0.39 & -40.3556610268938 & 12.3219505518681 \tabularnewline
0.4 & -38.3004866653393 & 12.2665804146095 \tabularnewline
0.41 & -36.2705005197258 & 12.0456438737087 \tabularnewline
0.42 & -34.2887034683395 & 11.6779502005665 \tabularnewline
0.43 & -32.3748909266243 & 11.1932289449690 \tabularnewline
0.44 & -30.5442371277964 & 10.6279228931283 \tabularnewline
0.45 & -28.8065534692614 & 10.0204532862424 \tabularnewline
0.46 & -27.1662180319086 & 9.4068516856431 \tabularnewline
0.47 & -25.6226769838325 & 8.81739362880544 \tabularnewline
0.48 & -24.1713526676555 & 8.2743481068921 \tabularnewline
0.49 & -22.8047646810430 & 7.79115503213358 \tabularnewline
0.5 & -21.5136779833943 & 7.37316163186808 \tabularnewline
0.51 & -20.2881282235382 & 7.0191271278432 \tabularnewline
0.52 & -19.1182274983858 & 6.72352580792743 \tabularnewline
0.53 & -17.9947112591846 & 6.47874760477374 \tabularnewline
0.54 & -16.9092384655738 & 6.27691262307491 \tabularnewline
0.55 & -15.8544950115418 & 6.11105919697005 \tabularnewline
0.56 & -14.8241712986194 & 5.975612155686 \tabularnewline
0.57 & -13.8128883196330 & 5.86625266241097 \tabularnewline
0.58 & -12.8161349438492 & 5.77938353884525 \tabularnewline
0.59 & -11.8302561103298 & 5.71142081996803 \tabularnewline
0.6 & -10.8525022169659 & 5.65798054584719 \tabularnewline
0.61 & -9.88111966402495 & 5.61340960187211 \tabularnewline
0.62 & -8.91543712929416 & 5.57067890703521 \tabularnewline
0.63 & -7.95588738318745 & 5.52184088943305 \tabularnewline
0.64 & -7.00390488200494 & 5.45909044915993 \tabularnewline
0.65 & -6.06165729738575 & 5.37612334779298 \tabularnewline
0.66 & -5.13160331874676 & 5.26974634799552 \tabularnewline
0.67 & -4.21591399325844 & 5.14105807742806 \tabularnewline
0.68 & -3.31584096308887 & 4.99617581322001 \tabularnewline
0.69 & -2.43115001973135 & 4.84601180384831 \tabularnewline
0.7 & -1.55975020231958 & 4.70492528850566 \tabularnewline
0.71 & -0.697628256651049 & 4.58827428384608 \tabularnewline
0.72 & 0.160856911344938 & 4.50906492886596 \tabularnewline
0.73 & 1.02234905857221 & 4.4744967296957 \tabularnewline
0.74 & 1.89366538532623 & 4.48361085959549 \tabularnewline
0.75 & 2.78097796318542 & 4.5272311635662 \tabularnewline
0.76 & 3.68927212469288 & 4.59060011776563 \tabularnewline
0.77 & 4.62233800357551 & 4.65806424317151 \tabularnewline
0.78 & 5.5834633316132 & 4.71864215428968 \tabularnewline
0.79 & 6.57683131962522 & 4.77127084462878 \tabularnewline
0.8 & 7.60941524394521 & 4.82855154998635 \tabularnewline
0.81 & 8.69296104729392 & 4.91759832191387 \tabularnewline
0.82 & 9.84554839403696 & 5.07615280610564 \tabularnewline
0.83 & 11.0923149632796 & 5.34273749397801 \tabularnewline
0.84 & 12.4652816119957 & 5.74327473826141 \tabularnewline
0.85 & 14.0027974832244 & 6.28167646846016 \tabularnewline
0.86 & 15.7497454565643 & 6.94263970854566 \tabularnewline
0.87 & 17.7599278651208 & 7.70882289720668 \tabularnewline
0.88 & 20.1014724281475 & 8.58731900261097 \tabularnewline
0.89 & 22.864224538179 & 9.63422749765584 \tabularnewline
0.9 & 26.1649979916287 & 10.9558835575952 \tabularnewline
0.91 & 30.1433767659689 & 12.659235276758 \tabularnewline
0.92 & 34.9400271316737 & 14.7449065483294 \tabularnewline
0.93 & 40.6544713834923 & 16.9897568368709 \tabularnewline
0.94 & 47.2913222416967 & 18.9021368651205 \tabularnewline
0.95 & 54.7174656134041 & 19.8250333675689 \tabularnewline
0.96 & 62.6513511091944 & 19.2274927676365 \tabularnewline
0.97 & 70.6716112567175 & 17.1424442374952 \tabularnewline
0.98 & 78.1834078207739 & 14.5348036234439 \tabularnewline
0.99 & 84.3188509240764 & 12.9507965206529 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49621&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]-139.851356451823[/C][C]11.0571045251804[/C][/ROW]
[ROW][C]0.02[/C][C]-134.660972635529[/C][C]12.1557330880851[/C][/ROW]
[ROW][C]0.03[/C][C]-128.401635608993[/C][C]13.8590225573194[/C][/ROW]
[ROW][C]0.04[/C][C]-121.803351087520[/C][C]15.3736081748197[/C][/ROW]
[ROW][C]0.05[/C][C]-115.300035890173[/C][C]16.1193895839514[/C][/ROW]
[ROW][C]0.06[/C][C]-109.169490535397[/C][C]15.8733945656991[/C][/ROW]
[ROW][C]0.07[/C][C]-103.617473882068[/C][C]14.7097230111368[/C][/ROW]
[ROW][C]0.08[/C][C]-98.785799141627[/C][C]12.9050657809727[/C][/ROW]
[ROW][C]0.09[/C][C]-94.7364001260027[/C][C]10.8215920676726[/C][/ROW]
[ROW][C]0.1[/C][C]-91.4471868457076[/C][C]8.79984544062023[/C][/ROW]
[ROW][C]0.11[/C][C]-88.8269657770395[/C][C]7.09570549974936[/C][/ROW]
[ROW][C]0.12[/C][C]-86.7417106100828[/C][C]5.86423643124337[/C][/ROW]
[ROW][C]0.13[/C][C]-85.042032387591[/C][C]5.16730740605269[/C][/ROW]
[ROW][C]0.14[/C][C]-83.5850976775498[/C][C]4.97830568813047[/C][/ROW]
[ROW][C]0.15[/C][C]-82.2485783077007[/C][C]5.19584747882611[/C][/ROW]
[ROW][C]0.16[/C][C]-80.9372575970267[/C][C]5.68874120847384[/C][/ROW]
[ROW][C]0.17[/C][C]-79.5842600580561[/C][C]6.33680546405364[/C][/ROW]
[ROW][C]0.18[/C][C]-78.1489762107442[/C][C]7.04370403440042[/C][/ROW]
[ROW][C]0.19[/C][C]-76.6132679156434[/C][C]7.73340641755895[/C][/ROW]
[ROW][C]0.2[/C][C]-74.9769466254584[/C][C]8.34695892387528[/C][/ROW]
[ROW][C]0.21[/C][C]-73.2530591051233[/C][C]8.841883380148[/C][/ROW]
[ROW][C]0.22[/C][C]-71.4632510690105[/C][C]9.19296092489041[/C][/ROW]
[ROW][C]0.23[/C][C]-69.6333731295339[/C][C]9.39277105871946[/C][/ROW]
[ROW][C]0.24[/C][C]-67.7894812285039[/C][C]9.4517997472403[/C][/ROW]
[ROW][C]0.25[/C][C]-65.9544062269982[/C][C]9.39646396756942[/C][/ROW]
[ROW][C]0.26[/C][C]-64.145082391986[/C][C]9.26701910916259[/C][/ROW]
[ROW][C]0.27[/C][C]-62.3708083994077[/C][C]9.11250878438426[/C][/ROW]
[ROW][C]0.28[/C][C]-60.6325595537403[/C][C]8.98588640501438[/C][/ROW]
[ROW][C]0.29[/C][C]-58.9233810690956[/C][C]8.93656494652408[/C][/ROW]
[ROW][C]0.3[/C][C]-57.2297827175674[/C][C]9.00314926637119[/C][/ROW]
[ROW][C]0.31[/C][C]-55.533942552282[/C][C]9.20598810586035[/C][/ROW]
[ROW][C]0.32[/C][C]-53.8164302751769[/C][C]9.54293449943592[/C][/ROW]
[ROW][C]0.33[/C][C]-52.0590957420775[/C][C]9.98993997056045[/C][/ROW]
[ROW][C]0.34[/C][C]-50.2477474514434[/C][C]10.5054466539467[/C][/ROW]
[ROW][C]0.35[/C][C]-48.3742758190178[/C][C]11.0373141856562[/C][/ROW]
[ROW][C]0.36[/C][C]-46.4379550369639[/C][C]11.5306185406765[/C][/ROW]
[ROW][C]0.37[/C][C]-44.4457754193676[/C][C]11.9343892965303[/C][/ROW]
[ROW][C]0.38[/C][C]-42.4117978670173[/C][C]12.2073445364570[/C][/ROW]
[ROW][C]0.39[/C][C]-40.3556610268938[/C][C]12.3219505518681[/C][/ROW]
[ROW][C]0.4[/C][C]-38.3004866653393[/C][C]12.2665804146095[/C][/ROW]
[ROW][C]0.41[/C][C]-36.2705005197258[/C][C]12.0456438737087[/C][/ROW]
[ROW][C]0.42[/C][C]-34.2887034683395[/C][C]11.6779502005665[/C][/ROW]
[ROW][C]0.43[/C][C]-32.3748909266243[/C][C]11.1932289449690[/C][/ROW]
[ROW][C]0.44[/C][C]-30.5442371277964[/C][C]10.6279228931283[/C][/ROW]
[ROW][C]0.45[/C][C]-28.8065534692614[/C][C]10.0204532862424[/C][/ROW]
[ROW][C]0.46[/C][C]-27.1662180319086[/C][C]9.4068516856431[/C][/ROW]
[ROW][C]0.47[/C][C]-25.6226769838325[/C][C]8.81739362880544[/C][/ROW]
[ROW][C]0.48[/C][C]-24.1713526676555[/C][C]8.2743481068921[/C][/ROW]
[ROW][C]0.49[/C][C]-22.8047646810430[/C][C]7.79115503213358[/C][/ROW]
[ROW][C]0.5[/C][C]-21.5136779833943[/C][C]7.37316163186808[/C][/ROW]
[ROW][C]0.51[/C][C]-20.2881282235382[/C][C]7.0191271278432[/C][/ROW]
[ROW][C]0.52[/C][C]-19.1182274983858[/C][C]6.72352580792743[/C][/ROW]
[ROW][C]0.53[/C][C]-17.9947112591846[/C][C]6.47874760477374[/C][/ROW]
[ROW][C]0.54[/C][C]-16.9092384655738[/C][C]6.27691262307491[/C][/ROW]
[ROW][C]0.55[/C][C]-15.8544950115418[/C][C]6.11105919697005[/C][/ROW]
[ROW][C]0.56[/C][C]-14.8241712986194[/C][C]5.975612155686[/C][/ROW]
[ROW][C]0.57[/C][C]-13.8128883196330[/C][C]5.86625266241097[/C][/ROW]
[ROW][C]0.58[/C][C]-12.8161349438492[/C][C]5.77938353884525[/C][/ROW]
[ROW][C]0.59[/C][C]-11.8302561103298[/C][C]5.71142081996803[/C][/ROW]
[ROW][C]0.6[/C][C]-10.8525022169659[/C][C]5.65798054584719[/C][/ROW]
[ROW][C]0.61[/C][C]-9.88111966402495[/C][C]5.61340960187211[/C][/ROW]
[ROW][C]0.62[/C][C]-8.91543712929416[/C][C]5.57067890703521[/C][/ROW]
[ROW][C]0.63[/C][C]-7.95588738318745[/C][C]5.52184088943305[/C][/ROW]
[ROW][C]0.64[/C][C]-7.00390488200494[/C][C]5.45909044915993[/C][/ROW]
[ROW][C]0.65[/C][C]-6.06165729738575[/C][C]5.37612334779298[/C][/ROW]
[ROW][C]0.66[/C][C]-5.13160331874676[/C][C]5.26974634799552[/C][/ROW]
[ROW][C]0.67[/C][C]-4.21591399325844[/C][C]5.14105807742806[/C][/ROW]
[ROW][C]0.68[/C][C]-3.31584096308887[/C][C]4.99617581322001[/C][/ROW]
[ROW][C]0.69[/C][C]-2.43115001973135[/C][C]4.84601180384831[/C][/ROW]
[ROW][C]0.7[/C][C]-1.55975020231958[/C][C]4.70492528850566[/C][/ROW]
[ROW][C]0.71[/C][C]-0.697628256651049[/C][C]4.58827428384608[/C][/ROW]
[ROW][C]0.72[/C][C]0.160856911344938[/C][C]4.50906492886596[/C][/ROW]
[ROW][C]0.73[/C][C]1.02234905857221[/C][C]4.4744967296957[/C][/ROW]
[ROW][C]0.74[/C][C]1.89366538532623[/C][C]4.48361085959549[/C][/ROW]
[ROW][C]0.75[/C][C]2.78097796318542[/C][C]4.5272311635662[/C][/ROW]
[ROW][C]0.76[/C][C]3.68927212469288[/C][C]4.59060011776563[/C][/ROW]
[ROW][C]0.77[/C][C]4.62233800357551[/C][C]4.65806424317151[/C][/ROW]
[ROW][C]0.78[/C][C]5.5834633316132[/C][C]4.71864215428968[/C][/ROW]
[ROW][C]0.79[/C][C]6.57683131962522[/C][C]4.77127084462878[/C][/ROW]
[ROW][C]0.8[/C][C]7.60941524394521[/C][C]4.82855154998635[/C][/ROW]
[ROW][C]0.81[/C][C]8.69296104729392[/C][C]4.91759832191387[/C][/ROW]
[ROW][C]0.82[/C][C]9.84554839403696[/C][C]5.07615280610564[/C][/ROW]
[ROW][C]0.83[/C][C]11.0923149632796[/C][C]5.34273749397801[/C][/ROW]
[ROW][C]0.84[/C][C]12.4652816119957[/C][C]5.74327473826141[/C][/ROW]
[ROW][C]0.85[/C][C]14.0027974832244[/C][C]6.28167646846016[/C][/ROW]
[ROW][C]0.86[/C][C]15.7497454565643[/C][C]6.94263970854566[/C][/ROW]
[ROW][C]0.87[/C][C]17.7599278651208[/C][C]7.70882289720668[/C][/ROW]
[ROW][C]0.88[/C][C]20.1014724281475[/C][C]8.58731900261097[/C][/ROW]
[ROW][C]0.89[/C][C]22.864224538179[/C][C]9.63422749765584[/C][/ROW]
[ROW][C]0.9[/C][C]26.1649979916287[/C][C]10.9558835575952[/C][/ROW]
[ROW][C]0.91[/C][C]30.1433767659689[/C][C]12.659235276758[/C][/ROW]
[ROW][C]0.92[/C][C]34.9400271316737[/C][C]14.7449065483294[/C][/ROW]
[ROW][C]0.93[/C][C]40.6544713834923[/C][C]16.9897568368709[/C][/ROW]
[ROW][C]0.94[/C][C]47.2913222416967[/C][C]18.9021368651205[/C][/ROW]
[ROW][C]0.95[/C][C]54.7174656134041[/C][C]19.8250333675689[/C][/ROW]
[ROW][C]0.96[/C][C]62.6513511091944[/C][C]19.2274927676365[/C][/ROW]
[ROW][C]0.97[/C][C]70.6716112567175[/C][C]17.1424442374952[/C][/ROW]
[ROW][C]0.98[/C][C]78.1834078207739[/C][C]14.5348036234439[/C][/ROW]
[ROW][C]0.99[/C][C]84.3188509240764[/C][C]12.9507965206529[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49621&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49621&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
0.01-139.85135645182311.0571045251804
0.02-134.66097263552912.1557330880851
0.03-128.40163560899313.8590225573194
0.04-121.80335108752015.3736081748197
0.05-115.30003589017316.1193895839514
0.06-109.16949053539715.8733945656991
0.07-103.61747388206814.7097230111368
0.08-98.78579914162712.9050657809727
0.09-94.736400126002710.8215920676726
0.1-91.44718684570768.79984544062023
0.11-88.82696577703957.09570549974936
0.12-86.74171061008285.86423643124337
0.13-85.0420323875915.16730740605269
0.14-83.58509767754984.97830568813047
0.15-82.24857830770075.19584747882611
0.16-80.93725759702675.68874120847384
0.17-79.58426005805616.33680546405364
0.18-78.14897621074427.04370403440042
0.19-76.61326791564347.73340641755895
0.2-74.97694662545848.34695892387528
0.21-73.25305910512338.841883380148
0.22-71.46325106901059.19296092489041
0.23-69.63337312953399.39277105871946
0.24-67.78948122850399.4517997472403
0.25-65.95440622699829.39646396756942
0.26-64.1450823919869.26701910916259
0.27-62.37080839940779.11250878438426
0.28-60.63255955374038.98588640501438
0.29-58.92338106909568.93656494652408
0.3-57.22978271756749.00314926637119
0.31-55.5339425522829.20598810586035
0.32-53.81643027517699.54293449943592
0.33-52.05909574207759.98993997056045
0.34-50.247747451443410.5054466539467
0.35-48.374275819017811.0373141856562
0.36-46.437955036963911.5306185406765
0.37-44.445775419367611.9343892965303
0.38-42.411797867017312.2073445364570
0.39-40.355661026893812.3219505518681
0.4-38.300486665339312.2665804146095
0.41-36.270500519725812.0456438737087
0.42-34.288703468339511.6779502005665
0.43-32.374890926624311.1932289449690
0.44-30.544237127796410.6279228931283
0.45-28.806553469261410.0204532862424
0.46-27.16621803190869.4068516856431
0.47-25.62267698383258.81739362880544
0.48-24.17135266765558.2743481068921
0.49-22.80476468104307.79115503213358
0.5-21.51367798339437.37316163186808
0.51-20.28812822353827.0191271278432
0.52-19.11822749838586.72352580792743
0.53-17.99471125918466.47874760477374
0.54-16.90923846557386.27691262307491
0.55-15.85449501154186.11105919697005
0.56-14.82417129861945.975612155686
0.57-13.81288831963305.86625266241097
0.58-12.81613494384925.77938353884525
0.59-11.83025611032985.71142081996803
0.6-10.85250221696595.65798054584719
0.61-9.881119664024955.61340960187211
0.62-8.915437129294165.57067890703521
0.63-7.955887383187455.52184088943305
0.64-7.003904882004945.45909044915993
0.65-6.061657297385755.37612334779298
0.66-5.131603318746765.26974634799552
0.67-4.215913993258445.14105807742806
0.68-3.315840963088874.99617581322001
0.69-2.431150019731354.84601180384831
0.7-1.559750202319584.70492528850566
0.71-0.6976282566510494.58827428384608
0.720.1608569113449384.50906492886596
0.731.022349058572214.4744967296957
0.741.893665385326234.48361085959549
0.752.780977963185424.5272311635662
0.763.689272124692884.59060011776563
0.774.622338003575514.65806424317151
0.785.58346333161324.71864215428968
0.796.576831319625224.77127084462878
0.87.609415243945214.82855154998635
0.818.692961047293924.91759832191387
0.829.845548394036965.07615280610564
0.8311.09231496327965.34273749397801
0.8412.46528161199575.74327473826141
0.8514.00279748322446.28167646846016
0.8615.74974545656436.94263970854566
0.8717.75992786512087.70882289720668
0.8820.10147242814758.58731900261097
0.8922.8642245381799.63422749765584
0.926.164997991628710.9558835575952
0.9130.143376765968912.659235276758
0.9234.940027131673714.7449065483294
0.9340.654471383492316.9897568368709
0.9447.291322241696718.9021368651205
0.9554.717465613404119.8250333675689
0.9662.651351109194419.2274927676365
0.9770.671611256717517.1424442374952
0.9878.183407820773914.5348036234439
0.9984.318850924076412.9507965206529


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')