FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 22 Oct 2007 12:45:55 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Oct/22/7gkz3y8n349dzv41193082413.htm/, Retrieved Mon, 06 May 2024 05:34:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1380, Retrieved Mon, 06 May 2024 05:34:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWS2HDQPE
Estimated Impact173

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] [WS2 - Harrell-Dav...] [2007-10-22 19:45:55] [e51d7ab0e549b3dc96ac85a81d9bd259] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-12,09
-8,39
3,82
-8,39
-3,68
4,52
-22,99
-12,89
-6,09
5,52
-3,59
-15,19
-10,99
-9,98
-0,58
3,22
-4,98
2,82
-28,29
-12,29
3,22
4,42
-1,59
-6,18
-6,09
-8,18
-1,68
1,02
-7,48
6,52
-19,49
-20,79
7,82
14,52
-9,39
-5,79
-15,29
-10,69
10,12
3,32
-4,98
15,32
-20,29
-12,39
12,22
9,42
4,62
2,12
-12,19
-6,88
4,02
0,42
-4,48
16,72
-29,39
-12,59
7,82
2,92
7,92
1,72
-7,18
-5,09
13,52
-1,79
11,92
22,12
-20,39
-4,98
19,52
26,52
23,92
11,92
11,12
11,02
28,52
16,72
23,82
37,22
-5,98
7,82

Tables (Output of Computation)





Summary of compuational 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 compuational 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=1380&T=0

[TABLE]
[ROW][C]Summary of compuational 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=1380&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1380&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 compuational 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
0.01-28.50747417669322.21414972309376
0.02-26.85269952871543.30198156145757
0.03-24.90796497768183.45287679133512
0.04-23.09686049950113.01179745213781
0.05-21.5879022977312.58935609128816
0.06-20.34355851714332.49234960062894
0.07-19.2510973006852.65383938248742
0.08-18.21972092453512.8633805562194
0.09-17.21417547988182.96700129749297
0.1-16.24462452235612.90634944922505
0.11-15.34115998074992.69762051516921
0.12-14.53151351682632.39866512688637
0.13-13.82898158213692.07858448427850
0.14-13.23011455099241.79670610678881
0.15-12.71859911639791.59192295095891
0.16-12.27152932206571.47857177909557
0.17-11.86535498074751.44769774826717
0.18-11.48012459254371.47491249884326
0.19-11.10167498401731.53179836859893
0.2-10.72203989334861.59410666518399
0.21-10.33862434027091.64485997085047
0.22-9.952734596502431.67442226920552
0.23-9.567962300099171.67940039709723
0.24-9.188767369574681.66095107400629
0.25-8.81943911071021.62300655495660
0.26-8.463473132262661.5706927815019
0.27-8.123303095603661.50910202041376
0.28-7.800276590979441.44275186743498
0.29-7.494757845233641.37540031688884
0.3-7.206263461364291.31032343614466
0.31-6.933575174568231.25064140430500
0.32-6.674811404852371.19960763938208
0.33-6.427467470709071.16074557027213
0.34-6.188448760472771.13763734194941
0.35-5.954123087920341.13369874772597
0.36-5.720412058509021.15168635119636
0.37-5.482931285304861.19331204036790
0.38-5.237179217132411.25888582625178
0.39-4.978765816684681.34715586143500
0.4-4.703665633096691.45528728757038
0.41-4.40847486118161.57899580195055
0.42-4.090649060851111.71275841587990
0.43-3.748698080021141.85026888554671
0.44-3.382318057198201.98481571505024
0.45-2.992447054258122.10974956268409
0.46-2.58123961048662.21890407015833
0.47-2.151964182031112.30694241469795
0.48-1.70883388283422.36959713295620
0.49-1.256783948467592.40384729893681
0.5-0.8012091569875322.4080454785069
0.51-0.3476726474061222.38200177904370
0.520.09840368876348062.32708199101924
0.530.5320561622324032.24625097051002
0.540.949089079067312.14405340418953
0.551.346358038526162.02649048156322
0.561.722003280735731.90075861121088
0.572.075608374625041.77485641794222
0.582.4082624626651.65707785314769
0.592.722511379195911.55542176801125
0.63.022193057581761.47691283650765
0.613.312164048934871.42689315514550
0.623.597935262357881.40832353838098
0.633.885245459044711.42126298000127
0.644.179610312884771.46280953116126
0.654.485892400447541.52745654590546
0.664.807941568569851.60790809076048
0.675.148352698900631.69602859539661
0.685.508375630196031.78390795323115
0.695.887988515975581.86481344128074
0.76.286114112400661.93395150611480
0.716.700926731515341.98879114337165
0.727.130177931530232.02888223137910
0.737.571472598967362.05518073908503
0.748.022457891429282.06910878173397
0.758.48093758062512.07180865061574
0.768.944973736126912.06400305555145
0.779.41306113871732.04662940222277
0.789.884438522694262.02199185173241
0.7910.35953477484631.99493279888801
0.810.84046259461611.97325456690644
0.8111.33141102366441.96682364165095
0.8211.83879564255871.98538124941234
0.8312.37111687236672.03582513468006
0.8412.93861576593922.12060564060225
0.8513.55290973140412.23841822804895
0.8614.22672354144812.38683208072508
0.8714.97354946365252.56441938389492
0.8815.80668541004862.76904060320484
0.8916.73694818731312.99100918718687
0.917.76890327785393.20412417631997
0.9118.89693545168583.36324676227535
0.9220.10444798374973.41700696087127
0.9321.37069829658653.33720341014766
0.9422.68942045862073.15342673655123
0.9524.1026783815382.97212460365445
0.9625.75122368639172.96991455336990
0.9727.91381262371073.41142498924545
0.9830.89257775904774.66713562885159
0.9934.47566078584066.7555577775966

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -28.5074741766932 & 2.21414972309376 \tabularnewline
0.02 & -26.8526995287154 & 3.30198156145757 \tabularnewline
0.03 & -24.9079649776818 & 3.45287679133512 \tabularnewline
0.04 & -23.0968604995011 & 3.01179745213781 \tabularnewline
0.05 & -21.587902297731 & 2.58935609128816 \tabularnewline
0.06 & -20.3435585171433 & 2.49234960062894 \tabularnewline
0.07 & -19.251097300685 & 2.65383938248742 \tabularnewline
0.08 & -18.2197209245351 & 2.8633805562194 \tabularnewline
0.09 & -17.2141754798818 & 2.96700129749297 \tabularnewline
0.1 & -16.2446245223561 & 2.90634944922505 \tabularnewline
0.11 & -15.3411599807499 & 2.69762051516921 \tabularnewline
0.12 & -14.5315135168263 & 2.39866512688637 \tabularnewline
0.13 & -13.8289815821369 & 2.07858448427850 \tabularnewline
0.14 & -13.2301145509924 & 1.79670610678881 \tabularnewline
0.15 & -12.7185991163979 & 1.59192295095891 \tabularnewline
0.16 & -12.2715293220657 & 1.47857177909557 \tabularnewline
0.17 & -11.8653549807475 & 1.44769774826717 \tabularnewline
0.18 & -11.4801245925437 & 1.47491249884326 \tabularnewline
0.19 & -11.1016749840173 & 1.53179836859893 \tabularnewline
0.2 & -10.7220398933486 & 1.59410666518399 \tabularnewline
0.21 & -10.3386243402709 & 1.64485997085047 \tabularnewline
0.22 & -9.95273459650243 & 1.67442226920552 \tabularnewline
0.23 & -9.56796230009917 & 1.67940039709723 \tabularnewline
0.24 & -9.18876736957468 & 1.66095107400629 \tabularnewline
0.25 & -8.8194391107102 & 1.62300655495660 \tabularnewline
0.26 & -8.46347313226266 & 1.5706927815019 \tabularnewline
0.27 & -8.12330309560366 & 1.50910202041376 \tabularnewline
0.28 & -7.80027659097944 & 1.44275186743498 \tabularnewline
0.29 & -7.49475784523364 & 1.37540031688884 \tabularnewline
0.3 & -7.20626346136429 & 1.31032343614466 \tabularnewline
0.31 & -6.93357517456823 & 1.25064140430500 \tabularnewline
0.32 & -6.67481140485237 & 1.19960763938208 \tabularnewline
0.33 & -6.42746747070907 & 1.16074557027213 \tabularnewline
0.34 & -6.18844876047277 & 1.13763734194941 \tabularnewline
0.35 & -5.95412308792034 & 1.13369874772597 \tabularnewline
0.36 & -5.72041205850902 & 1.15168635119636 \tabularnewline
0.37 & -5.48293128530486 & 1.19331204036790 \tabularnewline
0.38 & -5.23717921713241 & 1.25888582625178 \tabularnewline
0.39 & -4.97876581668468 & 1.34715586143500 \tabularnewline
0.4 & -4.70366563309669 & 1.45528728757038 \tabularnewline
0.41 & -4.4084748611816 & 1.57899580195055 \tabularnewline
0.42 & -4.09064906085111 & 1.71275841587990 \tabularnewline
0.43 & -3.74869808002114 & 1.85026888554671 \tabularnewline
0.44 & -3.38231805719820 & 1.98481571505024 \tabularnewline
0.45 & -2.99244705425812 & 2.10974956268409 \tabularnewline
0.46 & -2.5812396104866 & 2.21890407015833 \tabularnewline
0.47 & -2.15196418203111 & 2.30694241469795 \tabularnewline
0.48 & -1.7088338828342 & 2.36959713295620 \tabularnewline
0.49 & -1.25678394846759 & 2.40384729893681 \tabularnewline
0.5 & -0.801209156987532 & 2.4080454785069 \tabularnewline
0.51 & -0.347672647406122 & 2.38200177904370 \tabularnewline
0.52 & 0.0984036887634806 & 2.32708199101924 \tabularnewline
0.53 & 0.532056162232403 & 2.24625097051002 \tabularnewline
0.54 & 0.94908907906731 & 2.14405340418953 \tabularnewline
0.55 & 1.34635803852616 & 2.02649048156322 \tabularnewline
0.56 & 1.72200328073573 & 1.90075861121088 \tabularnewline
0.57 & 2.07560837462504 & 1.77485641794222 \tabularnewline
0.58 & 2.408262462665 & 1.65707785314769 \tabularnewline
0.59 & 2.72251137919591 & 1.55542176801125 \tabularnewline
0.6 & 3.02219305758176 & 1.47691283650765 \tabularnewline
0.61 & 3.31216404893487 & 1.42689315514550 \tabularnewline
0.62 & 3.59793526235788 & 1.40832353838098 \tabularnewline
0.63 & 3.88524545904471 & 1.42126298000127 \tabularnewline
0.64 & 4.17961031288477 & 1.46280953116126 \tabularnewline
0.65 & 4.48589240044754 & 1.52745654590546 \tabularnewline
0.66 & 4.80794156856985 & 1.60790809076048 \tabularnewline
0.67 & 5.14835269890063 & 1.69602859539661 \tabularnewline
0.68 & 5.50837563019603 & 1.78390795323115 \tabularnewline
0.69 & 5.88798851597558 & 1.86481344128074 \tabularnewline
0.7 & 6.28611411240066 & 1.93395150611480 \tabularnewline
0.71 & 6.70092673151534 & 1.98879114337165 \tabularnewline
0.72 & 7.13017793153023 & 2.02888223137910 \tabularnewline
0.73 & 7.57147259896736 & 2.05518073908503 \tabularnewline
0.74 & 8.02245789142928 & 2.06910878173397 \tabularnewline
0.75 & 8.4809375806251 & 2.07180865061574 \tabularnewline
0.76 & 8.94497373612691 & 2.06400305555145 \tabularnewline
0.77 & 9.4130611387173 & 2.04662940222277 \tabularnewline
0.78 & 9.88443852269426 & 2.02199185173241 \tabularnewline
0.79 & 10.3595347748463 & 1.99493279888801 \tabularnewline
0.8 & 10.8404625946161 & 1.97325456690644 \tabularnewline
0.81 & 11.3314110236644 & 1.96682364165095 \tabularnewline
0.82 & 11.8387956425587 & 1.98538124941234 \tabularnewline
0.83 & 12.3711168723667 & 2.03582513468006 \tabularnewline
0.84 & 12.9386157659392 & 2.12060564060225 \tabularnewline
0.85 & 13.5529097314041 & 2.23841822804895 \tabularnewline
0.86 & 14.2267235414481 & 2.38683208072508 \tabularnewline
0.87 & 14.9735494636525 & 2.56441938389492 \tabularnewline
0.88 & 15.8066854100486 & 2.76904060320484 \tabularnewline
0.89 & 16.7369481873131 & 2.99100918718687 \tabularnewline
0.9 & 17.7689032778539 & 3.20412417631997 \tabularnewline
0.91 & 18.8969354516858 & 3.36324676227535 \tabularnewline
0.92 & 20.1044479837497 & 3.41700696087127 \tabularnewline
0.93 & 21.3706982965865 & 3.33720341014766 \tabularnewline
0.94 & 22.6894204586207 & 3.15342673655123 \tabularnewline
0.95 & 24.102678381538 & 2.97212460365445 \tabularnewline
0.96 & 25.7512236863917 & 2.96991455336990 \tabularnewline
0.97 & 27.9138126237107 & 3.41142498924545 \tabularnewline
0.98 & 30.8925777590477 & 4.66713562885159 \tabularnewline
0.99 & 34.4756607858406 & 6.7555577775966 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1380&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]-28.5074741766932[/C][C]2.21414972309376[/C][/ROW]
[ROW][C]0.02[/C][C]-26.8526995287154[/C][C]3.30198156145757[/C][/ROW]
[ROW][C]0.03[/C][C]-24.9079649776818[/C][C]3.45287679133512[/C][/ROW]
[ROW][C]0.04[/C][C]-23.0968604995011[/C][C]3.01179745213781[/C][/ROW]
[ROW][C]0.05[/C][C]-21.587902297731[/C][C]2.58935609128816[/C][/ROW]
[ROW][C]0.06[/C][C]-20.3435585171433[/C][C]2.49234960062894[/C][/ROW]
[ROW][C]0.07[/C][C]-19.251097300685[/C][C]2.65383938248742[/C][/ROW]
[ROW][C]0.08[/C][C]-18.2197209245351[/C][C]2.8633805562194[/C][/ROW]
[ROW][C]0.09[/C][C]-17.2141754798818[/C][C]2.96700129749297[/C][/ROW]
[ROW][C]0.1[/C][C]-16.2446245223561[/C][C]2.90634944922505[/C][/ROW]
[ROW][C]0.11[/C][C]-15.3411599807499[/C][C]2.69762051516921[/C][/ROW]
[ROW][C]0.12[/C][C]-14.5315135168263[/C][C]2.39866512688637[/C][/ROW]
[ROW][C]0.13[/C][C]-13.8289815821369[/C][C]2.07858448427850[/C][/ROW]
[ROW][C]0.14[/C][C]-13.2301145509924[/C][C]1.79670610678881[/C][/ROW]
[ROW][C]0.15[/C][C]-12.7185991163979[/C][C]1.59192295095891[/C][/ROW]
[ROW][C]0.16[/C][C]-12.2715293220657[/C][C]1.47857177909557[/C][/ROW]
[ROW][C]0.17[/C][C]-11.8653549807475[/C][C]1.44769774826717[/C][/ROW]
[ROW][C]0.18[/C][C]-11.4801245925437[/C][C]1.47491249884326[/C][/ROW]
[ROW][C]0.19[/C][C]-11.1016749840173[/C][C]1.53179836859893[/C][/ROW]
[ROW][C]0.2[/C][C]-10.7220398933486[/C][C]1.59410666518399[/C][/ROW]
[ROW][C]0.21[/C][C]-10.3386243402709[/C][C]1.64485997085047[/C][/ROW]
[ROW][C]0.22[/C][C]-9.95273459650243[/C][C]1.67442226920552[/C][/ROW]
[ROW][C]0.23[/C][C]-9.56796230009917[/C][C]1.67940039709723[/C][/ROW]
[ROW][C]0.24[/C][C]-9.18876736957468[/C][C]1.66095107400629[/C][/ROW]
[ROW][C]0.25[/C][C]-8.8194391107102[/C][C]1.62300655495660[/C][/ROW]
[ROW][C]0.26[/C][C]-8.46347313226266[/C][C]1.5706927815019[/C][/ROW]
[ROW][C]0.27[/C][C]-8.12330309560366[/C][C]1.50910202041376[/C][/ROW]
[ROW][C]0.28[/C][C]-7.80027659097944[/C][C]1.44275186743498[/C][/ROW]
[ROW][C]0.29[/C][C]-7.49475784523364[/C][C]1.37540031688884[/C][/ROW]
[ROW][C]0.3[/C][C]-7.20626346136429[/C][C]1.31032343614466[/C][/ROW]
[ROW][C]0.31[/C][C]-6.93357517456823[/C][C]1.25064140430500[/C][/ROW]
[ROW][C]0.32[/C][C]-6.67481140485237[/C][C]1.19960763938208[/C][/ROW]
[ROW][C]0.33[/C][C]-6.42746747070907[/C][C]1.16074557027213[/C][/ROW]
[ROW][C]0.34[/C][C]-6.18844876047277[/C][C]1.13763734194941[/C][/ROW]
[ROW][C]0.35[/C][C]-5.95412308792034[/C][C]1.13369874772597[/C][/ROW]
[ROW][C]0.36[/C][C]-5.72041205850902[/C][C]1.15168635119636[/C][/ROW]
[ROW][C]0.37[/C][C]-5.48293128530486[/C][C]1.19331204036790[/C][/ROW]
[ROW][C]0.38[/C][C]-5.23717921713241[/C][C]1.25888582625178[/C][/ROW]
[ROW][C]0.39[/C][C]-4.97876581668468[/C][C]1.34715586143500[/C][/ROW]
[ROW][C]0.4[/C][C]-4.70366563309669[/C][C]1.45528728757038[/C][/ROW]
[ROW][C]0.41[/C][C]-4.4084748611816[/C][C]1.57899580195055[/C][/ROW]
[ROW][C]0.42[/C][C]-4.09064906085111[/C][C]1.71275841587990[/C][/ROW]
[ROW][C]0.43[/C][C]-3.74869808002114[/C][C]1.85026888554671[/C][/ROW]
[ROW][C]0.44[/C][C]-3.38231805719820[/C][C]1.98481571505024[/C][/ROW]
[ROW][C]0.45[/C][C]-2.99244705425812[/C][C]2.10974956268409[/C][/ROW]
[ROW][C]0.46[/C][C]-2.5812396104866[/C][C]2.21890407015833[/C][/ROW]
[ROW][C]0.47[/C][C]-2.15196418203111[/C][C]2.30694241469795[/C][/ROW]
[ROW][C]0.48[/C][C]-1.7088338828342[/C][C]2.36959713295620[/C][/ROW]
[ROW][C]0.49[/C][C]-1.25678394846759[/C][C]2.40384729893681[/C][/ROW]
[ROW][C]0.5[/C][C]-0.801209156987532[/C][C]2.4080454785069[/C][/ROW]
[ROW][C]0.51[/C][C]-0.347672647406122[/C][C]2.38200177904370[/C][/ROW]
[ROW][C]0.52[/C][C]0.0984036887634806[/C][C]2.32708199101924[/C][/ROW]
[ROW][C]0.53[/C][C]0.532056162232403[/C][C]2.24625097051002[/C][/ROW]
[ROW][C]0.54[/C][C]0.94908907906731[/C][C]2.14405340418953[/C][/ROW]
[ROW][C]0.55[/C][C]1.34635803852616[/C][C]2.02649048156322[/C][/ROW]
[ROW][C]0.56[/C][C]1.72200328073573[/C][C]1.90075861121088[/C][/ROW]
[ROW][C]0.57[/C][C]2.07560837462504[/C][C]1.77485641794222[/C][/ROW]
[ROW][C]0.58[/C][C]2.408262462665[/C][C]1.65707785314769[/C][/ROW]
[ROW][C]0.59[/C][C]2.72251137919591[/C][C]1.55542176801125[/C][/ROW]
[ROW][C]0.6[/C][C]3.02219305758176[/C][C]1.47691283650765[/C][/ROW]
[ROW][C]0.61[/C][C]3.31216404893487[/C][C]1.42689315514550[/C][/ROW]
[ROW][C]0.62[/C][C]3.59793526235788[/C][C]1.40832353838098[/C][/ROW]
[ROW][C]0.63[/C][C]3.88524545904471[/C][C]1.42126298000127[/C][/ROW]
[ROW][C]0.64[/C][C]4.17961031288477[/C][C]1.46280953116126[/C][/ROW]
[ROW][C]0.65[/C][C]4.48589240044754[/C][C]1.52745654590546[/C][/ROW]
[ROW][C]0.66[/C][C]4.80794156856985[/C][C]1.60790809076048[/C][/ROW]
[ROW][C]0.67[/C][C]5.14835269890063[/C][C]1.69602859539661[/C][/ROW]
[ROW][C]0.68[/C][C]5.50837563019603[/C][C]1.78390795323115[/C][/ROW]
[ROW][C]0.69[/C][C]5.88798851597558[/C][C]1.86481344128074[/C][/ROW]
[ROW][C]0.7[/C][C]6.28611411240066[/C][C]1.93395150611480[/C][/ROW]
[ROW][C]0.71[/C][C]6.70092673151534[/C][C]1.98879114337165[/C][/ROW]
[ROW][C]0.72[/C][C]7.13017793153023[/C][C]2.02888223137910[/C][/ROW]
[ROW][C]0.73[/C][C]7.57147259896736[/C][C]2.05518073908503[/C][/ROW]
[ROW][C]0.74[/C][C]8.02245789142928[/C][C]2.06910878173397[/C][/ROW]
[ROW][C]0.75[/C][C]8.4809375806251[/C][C]2.07180865061574[/C][/ROW]
[ROW][C]0.76[/C][C]8.94497373612691[/C][C]2.06400305555145[/C][/ROW]
[ROW][C]0.77[/C][C]9.4130611387173[/C][C]2.04662940222277[/C][/ROW]
[ROW][C]0.78[/C][C]9.88443852269426[/C][C]2.02199185173241[/C][/ROW]
[ROW][C]0.79[/C][C]10.3595347748463[/C][C]1.99493279888801[/C][/ROW]
[ROW][C]0.8[/C][C]10.8404625946161[/C][C]1.97325456690644[/C][/ROW]
[ROW][C]0.81[/C][C]11.3314110236644[/C][C]1.96682364165095[/C][/ROW]
[ROW][C]0.82[/C][C]11.8387956425587[/C][C]1.98538124941234[/C][/ROW]
[ROW][C]0.83[/C][C]12.3711168723667[/C][C]2.03582513468006[/C][/ROW]
[ROW][C]0.84[/C][C]12.9386157659392[/C][C]2.12060564060225[/C][/ROW]
[ROW][C]0.85[/C][C]13.5529097314041[/C][C]2.23841822804895[/C][/ROW]
[ROW][C]0.86[/C][C]14.2267235414481[/C][C]2.38683208072508[/C][/ROW]
[ROW][C]0.87[/C][C]14.9735494636525[/C][C]2.56441938389492[/C][/ROW]
[ROW][C]0.88[/C][C]15.8066854100486[/C][C]2.76904060320484[/C][/ROW]
[ROW][C]0.89[/C][C]16.7369481873131[/C][C]2.99100918718687[/C][/ROW]
[ROW][C]0.9[/C][C]17.7689032778539[/C][C]3.20412417631997[/C][/ROW]
[ROW][C]0.91[/C][C]18.8969354516858[/C][C]3.36324676227535[/C][/ROW]
[ROW][C]0.92[/C][C]20.1044479837497[/C][C]3.41700696087127[/C][/ROW]
[ROW][C]0.93[/C][C]21.3706982965865[/C][C]3.33720341014766[/C][/ROW]
[ROW][C]0.94[/C][C]22.6894204586207[/C][C]3.15342673655123[/C][/ROW]
[ROW][C]0.95[/C][C]24.102678381538[/C][C]2.97212460365445[/C][/ROW]
[ROW][C]0.96[/C][C]25.7512236863917[/C][C]2.96991455336990[/C][/ROW]
[ROW][C]0.97[/C][C]27.9138126237107[/C][C]3.41142498924545[/C][/ROW]
[ROW][C]0.98[/C][C]30.8925777590477[/C][C]4.66713562885159[/C][/ROW]
[ROW][C]0.99[/C][C]34.4756607858406[/C][C]6.7555577775966[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1380&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1380&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
0.01-28.50747417669322.21414972309376
0.02-26.85269952871543.30198156145757
0.03-24.90796497768183.45287679133512
0.04-23.09686049950113.01179745213781
0.05-21.5879022977312.58935609128816
0.06-20.34355851714332.49234960062894
0.07-19.2510973006852.65383938248742
0.08-18.21972092453512.8633805562194
0.09-17.21417547988182.96700129749297
0.1-16.24462452235612.90634944922505
0.11-15.34115998074992.69762051516921
0.12-14.53151351682632.39866512688637
0.13-13.82898158213692.07858448427850
0.14-13.23011455099241.79670610678881
0.15-12.71859911639791.59192295095891
0.16-12.27152932206571.47857177909557
0.17-11.86535498074751.44769774826717
0.18-11.48012459254371.47491249884326
0.19-11.10167498401731.53179836859893
0.2-10.72203989334861.59410666518399
0.21-10.33862434027091.64485997085047
0.22-9.952734596502431.67442226920552
0.23-9.567962300099171.67940039709723
0.24-9.188767369574681.66095107400629
0.25-8.81943911071021.62300655495660
0.26-8.463473132262661.5706927815019
0.27-8.123303095603661.50910202041376
0.28-7.800276590979441.44275186743498
0.29-7.494757845233641.37540031688884
0.3-7.206263461364291.31032343614466
0.31-6.933575174568231.25064140430500
0.32-6.674811404852371.19960763938208
0.33-6.427467470709071.16074557027213
0.34-6.188448760472771.13763734194941
0.35-5.954123087920341.13369874772597
0.36-5.720412058509021.15168635119636
0.37-5.482931285304861.19331204036790
0.38-5.237179217132411.25888582625178
0.39-4.978765816684681.34715586143500
0.4-4.703665633096691.45528728757038
0.41-4.40847486118161.57899580195055
0.42-4.090649060851111.71275841587990
0.43-3.748698080021141.85026888554671
0.44-3.382318057198201.98481571505024
0.45-2.992447054258122.10974956268409
0.46-2.58123961048662.21890407015833
0.47-2.151964182031112.30694241469795
0.48-1.70883388283422.36959713295620
0.49-1.256783948467592.40384729893681
0.5-0.8012091569875322.4080454785069
0.51-0.3476726474061222.38200177904370
0.520.09840368876348062.32708199101924
0.530.5320561622324032.24625097051002
0.540.949089079067312.14405340418953
0.551.346358038526162.02649048156322
0.561.722003280735731.90075861121088
0.572.075608374625041.77485641794222
0.582.4082624626651.65707785314769
0.592.722511379195911.55542176801125
0.63.022193057581761.47691283650765
0.613.312164048934871.42689315514550
0.623.597935262357881.40832353838098
0.633.885245459044711.42126298000127
0.644.179610312884771.46280953116126
0.654.485892400447541.52745654590546
0.664.807941568569851.60790809076048
0.675.148352698900631.69602859539661
0.685.508375630196031.78390795323115
0.695.887988515975581.86481344128074
0.76.286114112400661.93395150611480
0.716.700926731515341.98879114337165
0.727.130177931530232.02888223137910
0.737.571472598967362.05518073908503
0.748.022457891429282.06910878173397
0.758.48093758062512.07180865061574
0.768.944973736126912.06400305555145
0.779.41306113871732.04662940222277
0.789.884438522694262.02199185173241
0.7910.35953477484631.99493279888801
0.810.84046259461611.97325456690644
0.8111.33141102366441.96682364165095
0.8211.83879564255871.98538124941234
0.8312.37111687236672.03582513468006
0.8412.93861576593922.12060564060225
0.8513.55290973140412.23841822804895
0.8614.22672354144812.38683208072508
0.8714.97354946365252.56441938389492
0.8815.80668541004862.76904060320484
0.8916.73694818731312.99100918718687
0.917.76890327785393.20412417631997
0.9118.89693545168583.36324676227535
0.9220.10444798374973.41700696087127
0.9321.37069829658653.33720341014766
0.9422.68942045862073.15342673655123
0.9524.1026783815382.97212460365445
0.9625.75122368639172.96991455336990
0.9727.91381262371073.41142498924545
0.9830.89257775904774.66713562885159
0.9934.47566078584066.7555577775966


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')