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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 computationFri, 20 Aug 2010 01:02:08 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Aug/20/t1282266245nljzgp8b54m9qsq.htm/, Retrieved Wed, 11 Feb 2026 04:02:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79430, Retrieved Wed, 11 Feb 2026 04:02:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVan Tendeloo Willem MAR 201 A
Estimated Impact374

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] [Tijdreeks B Stap 7] [2010-08-20 01:02:08] [6b796205aa6c71fffca3ea7e892beea1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
76
75
74
72
70
69
70
72
73
73
74
76
74
67
66
58
55
58
64
68
66
76
75
88
85
83
77
66
65
65
63
62
57
68
69
79
74
76
82
75
75
76
78
77
67
74
68
87
76
88
95
96
96
105
108
113
101
107
102
116
105
121
134
140
131
141
131
128
123
129
125
144
135
141
156
159
146
154
145
133
126
127
122
148

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=79430&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=79430&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79430&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
0.0155.7549823566871.70769273954281
0.0256.86717586266241.63070044284852
0.0358.0289742422251.96246686935165
0.0459.19557770499352.39523269549220
0.0560.37162374258112.62459688215168
0.0661.51142776045522.57150505300247
0.0762.54839160269832.31989722557607
0.0863.43937793601191.99861713883828
0.0964.1780769709491.70266903430863
0.164.78484833296091.47576770521117
0.1165.29103701785781.32564038829171
0.1265.72775738433441.24344945147928
0.1366.12073894313231.21457424765829
0.1466.489249048081.22434793827686
0.1566.84693047013181.26089509940139
0.1667.20323502043641.31689616636401
0.1767.56480522612791.38902640485959
0.1867.93649047768861.47582488111956
0.1968.32186218251161.57519044430245
0.268.72324533732381.68230024404765
0.2169.14142383823981.78919057267920
0.2269.57526187036071.88520723292164
0.2370.02148390385781.95945350270941
0.2470.47477839927492.00239370112496
0.2570.9282713438162.00786691800969
0.2671.37429896203131.97397387833706
0.2771.80532804663711.90358647901594
0.2872.21484287954231.80343844527647
0.2972.59803776657571.68332198281137
0.372.95220997615611.55392335629184
0.3173.27682026977851.42591253742187
0.3273.57325853150331.30818754367358
0.3373.8444057106351.20706880677759
0.3474.0941119374891.12610541945534
0.3574.32671218442981.06616655768150
0.3674.54667860130151.02683870897699
0.3774.75846979509321.00716894776157
0.3874.96659077338281.00761496175422
0.3975.1758319192121.03066520538676
0.475.39161871237821.08162080851751
0.4175.62038130243931.16831531222051
0.4275.86984737825371.29973565104017
0.4376.1491735192581.48467577522633
0.4476.46885739655211.72936007828104
0.4576.8404115113832.03733713623661
0.4677.27582219254742.40804084300268
0.4777.78685743738612.83660747731369
0.4878.38431578098863.31473419916904
0.4979.07731920679383.83072084452354
0.579.87274318070834.37126066760278
0.5180.77484816094174.92152568867358
0.5281.78513654235565.46725680964108
0.5382.9024178232645.99547381486645
0.5484.12303448054466.49479950797377
0.5585.44119019120146.95577025808061
0.5686.84933277679197.37058125987119
0.5788.33857066474627.73330641071655
0.5889.89913099565888.03978944865696
0.5991.52088415230938.2885302019374
0.693.1939508159718.48085806137664
0.6194.90936977549128.62248771179782
0.6296.65974600036978.72285705827077
0.6398.43973915958678.79472685497952
0.64100.2462198362938.85201983932121
0.65102.0779390928568.90655409724866
0.66103.9346392863358.96438385180091
0.67105.8156718341299.02247727817881
0.68107.7183493050799.06764548279141
0.69109.6363955238119.0778464815226
0.7111.5589158337199.02589442852728
0.71113.4702537421368.886255466707
0.72115.3509266555448.64072925495417
0.73117.1795800328838.28415757503603
0.74118.9356372524197.82641078967305
0.75120.6021342114547.29182520506962
0.76122.1681766715856.71560418091667
0.77123.6305629434626.13858529508591
0.78124.9943368005995.60020023129682
0.79126.2722922018135.1346167252671
0.8127.4836447349884.76594757477286
0.81128.6521445589864.50753944491776
0.82129.8038277158544.36183735518356
0.83130.9644645460544.32003783111525
0.84132.1567012928064.36184337894939
0.85133.3970276194454.4548453241583
0.86134.6930548755944.55581144821392
0.87136.042005523414.61751792208872
0.88137.4315250798654.59985451351282
0.89138.8437304582014.48326077445667
0.9140.2628286263844.27823636173994
0.91141.6858054550014.02939853951641
0.92143.1343114799593.81405581592191
0.93144.6629996738213.73340745332696
0.94146.3550824276653.87318237210238
0.95148.2944081566884.20294391314076
0.96150.5153956782094.48380888111236
0.97152.9579595606364.35928339068506
0.98155.4502223010683.71010397325704
0.99157.6592518559253.05291884071947

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 55.754982356687 & 1.70769273954281 \tabularnewline
0.02 & 56.8671758626624 & 1.63070044284852 \tabularnewline
0.03 & 58.028974242225 & 1.96246686935165 \tabularnewline
0.04 & 59.1955777049935 & 2.39523269549220 \tabularnewline
0.05 & 60.3716237425811 & 2.62459688215168 \tabularnewline
0.06 & 61.5114277604552 & 2.57150505300247 \tabularnewline
0.07 & 62.5483916026983 & 2.31989722557607 \tabularnewline
0.08 & 63.4393779360119 & 1.99861713883828 \tabularnewline
0.09 & 64.178076970949 & 1.70266903430863 \tabularnewline
0.1 & 64.7848483329609 & 1.47576770521117 \tabularnewline
0.11 & 65.2910370178578 & 1.32564038829171 \tabularnewline
0.12 & 65.7277573843344 & 1.24344945147928 \tabularnewline
0.13 & 66.1207389431323 & 1.21457424765829 \tabularnewline
0.14 & 66.48924904808 & 1.22434793827686 \tabularnewline
0.15 & 66.8469304701318 & 1.26089509940139 \tabularnewline
0.16 & 67.2032350204364 & 1.31689616636401 \tabularnewline
0.17 & 67.5648052261279 & 1.38902640485959 \tabularnewline
0.18 & 67.9364904776886 & 1.47582488111956 \tabularnewline
0.19 & 68.3218621825116 & 1.57519044430245 \tabularnewline
0.2 & 68.7232453373238 & 1.68230024404765 \tabularnewline
0.21 & 69.1414238382398 & 1.78919057267920 \tabularnewline
0.22 & 69.5752618703607 & 1.88520723292164 \tabularnewline
0.23 & 70.0214839038578 & 1.95945350270941 \tabularnewline
0.24 & 70.4747783992749 & 2.00239370112496 \tabularnewline
0.25 & 70.928271343816 & 2.00786691800969 \tabularnewline
0.26 & 71.3742989620313 & 1.97397387833706 \tabularnewline
0.27 & 71.8053280466371 & 1.90358647901594 \tabularnewline
0.28 & 72.2148428795423 & 1.80343844527647 \tabularnewline
0.29 & 72.5980377665757 & 1.68332198281137 \tabularnewline
0.3 & 72.9522099761561 & 1.55392335629184 \tabularnewline
0.31 & 73.2768202697785 & 1.42591253742187 \tabularnewline
0.32 & 73.5732585315033 & 1.30818754367358 \tabularnewline
0.33 & 73.844405710635 & 1.20706880677759 \tabularnewline
0.34 & 74.094111937489 & 1.12610541945534 \tabularnewline
0.35 & 74.3267121844298 & 1.06616655768150 \tabularnewline
0.36 & 74.5466786013015 & 1.02683870897699 \tabularnewline
0.37 & 74.7584697950932 & 1.00716894776157 \tabularnewline
0.38 & 74.9665907733828 & 1.00761496175422 \tabularnewline
0.39 & 75.175831919212 & 1.03066520538676 \tabularnewline
0.4 & 75.3916187123782 & 1.08162080851751 \tabularnewline
0.41 & 75.6203813024393 & 1.16831531222051 \tabularnewline
0.42 & 75.8698473782537 & 1.29973565104017 \tabularnewline
0.43 & 76.149173519258 & 1.48467577522633 \tabularnewline
0.44 & 76.4688573965521 & 1.72936007828104 \tabularnewline
0.45 & 76.840411511383 & 2.03733713623661 \tabularnewline
0.46 & 77.2758221925474 & 2.40804084300268 \tabularnewline
0.47 & 77.7868574373861 & 2.83660747731369 \tabularnewline
0.48 & 78.3843157809886 & 3.31473419916904 \tabularnewline
0.49 & 79.0773192067938 & 3.83072084452354 \tabularnewline
0.5 & 79.8727431807083 & 4.37126066760278 \tabularnewline
0.51 & 80.7748481609417 & 4.92152568867358 \tabularnewline
0.52 & 81.7851365423556 & 5.46725680964108 \tabularnewline
0.53 & 82.902417823264 & 5.99547381486645 \tabularnewline
0.54 & 84.1230344805446 & 6.49479950797377 \tabularnewline
0.55 & 85.4411901912014 & 6.95577025808061 \tabularnewline
0.56 & 86.8493327767919 & 7.37058125987119 \tabularnewline
0.57 & 88.3385706647462 & 7.73330641071655 \tabularnewline
0.58 & 89.8991309956588 & 8.03978944865696 \tabularnewline
0.59 & 91.5208841523093 & 8.2885302019374 \tabularnewline
0.6 & 93.193950815971 & 8.48085806137664 \tabularnewline
0.61 & 94.9093697754912 & 8.62248771179782 \tabularnewline
0.62 & 96.6597460003697 & 8.72285705827077 \tabularnewline
0.63 & 98.4397391595867 & 8.79472685497952 \tabularnewline
0.64 & 100.246219836293 & 8.85201983932121 \tabularnewline
0.65 & 102.077939092856 & 8.90655409724866 \tabularnewline
0.66 & 103.934639286335 & 8.96438385180091 \tabularnewline
0.67 & 105.815671834129 & 9.02247727817881 \tabularnewline
0.68 & 107.718349305079 & 9.06764548279141 \tabularnewline
0.69 & 109.636395523811 & 9.0778464815226 \tabularnewline
0.7 & 111.558915833719 & 9.02589442852728 \tabularnewline
0.71 & 113.470253742136 & 8.886255466707 \tabularnewline
0.72 & 115.350926655544 & 8.64072925495417 \tabularnewline
0.73 & 117.179580032883 & 8.28415757503603 \tabularnewline
0.74 & 118.935637252419 & 7.82641078967305 \tabularnewline
0.75 & 120.602134211454 & 7.29182520506962 \tabularnewline
0.76 & 122.168176671585 & 6.71560418091667 \tabularnewline
0.77 & 123.630562943462 & 6.13858529508591 \tabularnewline
0.78 & 124.994336800599 & 5.60020023129682 \tabularnewline
0.79 & 126.272292201813 & 5.1346167252671 \tabularnewline
0.8 & 127.483644734988 & 4.76594757477286 \tabularnewline
0.81 & 128.652144558986 & 4.50753944491776 \tabularnewline
0.82 & 129.803827715854 & 4.36183735518356 \tabularnewline
0.83 & 130.964464546054 & 4.32003783111525 \tabularnewline
0.84 & 132.156701292806 & 4.36184337894939 \tabularnewline
0.85 & 133.397027619445 & 4.4548453241583 \tabularnewline
0.86 & 134.693054875594 & 4.55581144821392 \tabularnewline
0.87 & 136.04200552341 & 4.61751792208872 \tabularnewline
0.88 & 137.431525079865 & 4.59985451351282 \tabularnewline
0.89 & 138.843730458201 & 4.48326077445667 \tabularnewline
0.9 & 140.262828626384 & 4.27823636173994 \tabularnewline
0.91 & 141.685805455001 & 4.02939853951641 \tabularnewline
0.92 & 143.134311479959 & 3.81405581592191 \tabularnewline
0.93 & 144.662999673821 & 3.73340745332696 \tabularnewline
0.94 & 146.355082427665 & 3.87318237210238 \tabularnewline
0.95 & 148.294408156688 & 4.20294391314076 \tabularnewline
0.96 & 150.515395678209 & 4.48380888111236 \tabularnewline
0.97 & 152.957959560636 & 4.35928339068506 \tabularnewline
0.98 & 155.450222301068 & 3.71010397325704 \tabularnewline
0.99 & 157.659251855925 & 3.05291884071947 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79430&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]55.754982356687[/C][C]1.70769273954281[/C][/ROW]
[ROW][C]0.02[/C][C]56.8671758626624[/C][C]1.63070044284852[/C][/ROW]
[ROW][C]0.03[/C][C]58.028974242225[/C][C]1.96246686935165[/C][/ROW]
[ROW][C]0.04[/C][C]59.1955777049935[/C][C]2.39523269549220[/C][/ROW]
[ROW][C]0.05[/C][C]60.3716237425811[/C][C]2.62459688215168[/C][/ROW]
[ROW][C]0.06[/C][C]61.5114277604552[/C][C]2.57150505300247[/C][/ROW]
[ROW][C]0.07[/C][C]62.5483916026983[/C][C]2.31989722557607[/C][/ROW]
[ROW][C]0.08[/C][C]63.4393779360119[/C][C]1.99861713883828[/C][/ROW]
[ROW][C]0.09[/C][C]64.178076970949[/C][C]1.70266903430863[/C][/ROW]
[ROW][C]0.1[/C][C]64.7848483329609[/C][C]1.47576770521117[/C][/ROW]
[ROW][C]0.11[/C][C]65.2910370178578[/C][C]1.32564038829171[/C][/ROW]
[ROW][C]0.12[/C][C]65.7277573843344[/C][C]1.24344945147928[/C][/ROW]
[ROW][C]0.13[/C][C]66.1207389431323[/C][C]1.21457424765829[/C][/ROW]
[ROW][C]0.14[/C][C]66.48924904808[/C][C]1.22434793827686[/C][/ROW]
[ROW][C]0.15[/C][C]66.8469304701318[/C][C]1.26089509940139[/C][/ROW]
[ROW][C]0.16[/C][C]67.2032350204364[/C][C]1.31689616636401[/C][/ROW]
[ROW][C]0.17[/C][C]67.5648052261279[/C][C]1.38902640485959[/C][/ROW]
[ROW][C]0.18[/C][C]67.9364904776886[/C][C]1.47582488111956[/C][/ROW]
[ROW][C]0.19[/C][C]68.3218621825116[/C][C]1.57519044430245[/C][/ROW]
[ROW][C]0.2[/C][C]68.7232453373238[/C][C]1.68230024404765[/C][/ROW]
[ROW][C]0.21[/C][C]69.1414238382398[/C][C]1.78919057267920[/C][/ROW]
[ROW][C]0.22[/C][C]69.5752618703607[/C][C]1.88520723292164[/C][/ROW]
[ROW][C]0.23[/C][C]70.0214839038578[/C][C]1.95945350270941[/C][/ROW]
[ROW][C]0.24[/C][C]70.4747783992749[/C][C]2.00239370112496[/C][/ROW]
[ROW][C]0.25[/C][C]70.928271343816[/C][C]2.00786691800969[/C][/ROW]
[ROW][C]0.26[/C][C]71.3742989620313[/C][C]1.97397387833706[/C][/ROW]
[ROW][C]0.27[/C][C]71.8053280466371[/C][C]1.90358647901594[/C][/ROW]
[ROW][C]0.28[/C][C]72.2148428795423[/C][C]1.80343844527647[/C][/ROW]
[ROW][C]0.29[/C][C]72.5980377665757[/C][C]1.68332198281137[/C][/ROW]
[ROW][C]0.3[/C][C]72.9522099761561[/C][C]1.55392335629184[/C][/ROW]
[ROW][C]0.31[/C][C]73.2768202697785[/C][C]1.42591253742187[/C][/ROW]
[ROW][C]0.32[/C][C]73.5732585315033[/C][C]1.30818754367358[/C][/ROW]
[ROW][C]0.33[/C][C]73.844405710635[/C][C]1.20706880677759[/C][/ROW]
[ROW][C]0.34[/C][C]74.094111937489[/C][C]1.12610541945534[/C][/ROW]
[ROW][C]0.35[/C][C]74.3267121844298[/C][C]1.06616655768150[/C][/ROW]
[ROW][C]0.36[/C][C]74.5466786013015[/C][C]1.02683870897699[/C][/ROW]
[ROW][C]0.37[/C][C]74.7584697950932[/C][C]1.00716894776157[/C][/ROW]
[ROW][C]0.38[/C][C]74.9665907733828[/C][C]1.00761496175422[/C][/ROW]
[ROW][C]0.39[/C][C]75.175831919212[/C][C]1.03066520538676[/C][/ROW]
[ROW][C]0.4[/C][C]75.3916187123782[/C][C]1.08162080851751[/C][/ROW]
[ROW][C]0.41[/C][C]75.6203813024393[/C][C]1.16831531222051[/C][/ROW]
[ROW][C]0.42[/C][C]75.8698473782537[/C][C]1.29973565104017[/C][/ROW]
[ROW][C]0.43[/C][C]76.149173519258[/C][C]1.48467577522633[/C][/ROW]
[ROW][C]0.44[/C][C]76.4688573965521[/C][C]1.72936007828104[/C][/ROW]
[ROW][C]0.45[/C][C]76.840411511383[/C][C]2.03733713623661[/C][/ROW]
[ROW][C]0.46[/C][C]77.2758221925474[/C][C]2.40804084300268[/C][/ROW]
[ROW][C]0.47[/C][C]77.7868574373861[/C][C]2.83660747731369[/C][/ROW]
[ROW][C]0.48[/C][C]78.3843157809886[/C][C]3.31473419916904[/C][/ROW]
[ROW][C]0.49[/C][C]79.0773192067938[/C][C]3.83072084452354[/C][/ROW]
[ROW][C]0.5[/C][C]79.8727431807083[/C][C]4.37126066760278[/C][/ROW]
[ROW][C]0.51[/C][C]80.7748481609417[/C][C]4.92152568867358[/C][/ROW]
[ROW][C]0.52[/C][C]81.7851365423556[/C][C]5.46725680964108[/C][/ROW]
[ROW][C]0.53[/C][C]82.902417823264[/C][C]5.99547381486645[/C][/ROW]
[ROW][C]0.54[/C][C]84.1230344805446[/C][C]6.49479950797377[/C][/ROW]
[ROW][C]0.55[/C][C]85.4411901912014[/C][C]6.95577025808061[/C][/ROW]
[ROW][C]0.56[/C][C]86.8493327767919[/C][C]7.37058125987119[/C][/ROW]
[ROW][C]0.57[/C][C]88.3385706647462[/C][C]7.73330641071655[/C][/ROW]
[ROW][C]0.58[/C][C]89.8991309956588[/C][C]8.03978944865696[/C][/ROW]
[ROW][C]0.59[/C][C]91.5208841523093[/C][C]8.2885302019374[/C][/ROW]
[ROW][C]0.6[/C][C]93.193950815971[/C][C]8.48085806137664[/C][/ROW]
[ROW][C]0.61[/C][C]94.9093697754912[/C][C]8.62248771179782[/C][/ROW]
[ROW][C]0.62[/C][C]96.6597460003697[/C][C]8.72285705827077[/C][/ROW]
[ROW][C]0.63[/C][C]98.4397391595867[/C][C]8.79472685497952[/C][/ROW]
[ROW][C]0.64[/C][C]100.246219836293[/C][C]8.85201983932121[/C][/ROW]
[ROW][C]0.65[/C][C]102.077939092856[/C][C]8.90655409724866[/C][/ROW]
[ROW][C]0.66[/C][C]103.934639286335[/C][C]8.96438385180091[/C][/ROW]
[ROW][C]0.67[/C][C]105.815671834129[/C][C]9.02247727817881[/C][/ROW]
[ROW][C]0.68[/C][C]107.718349305079[/C][C]9.06764548279141[/C][/ROW]
[ROW][C]0.69[/C][C]109.636395523811[/C][C]9.0778464815226[/C][/ROW]
[ROW][C]0.7[/C][C]111.558915833719[/C][C]9.02589442852728[/C][/ROW]
[ROW][C]0.71[/C][C]113.470253742136[/C][C]8.886255466707[/C][/ROW]
[ROW][C]0.72[/C][C]115.350926655544[/C][C]8.64072925495417[/C][/ROW]
[ROW][C]0.73[/C][C]117.179580032883[/C][C]8.28415757503603[/C][/ROW]
[ROW][C]0.74[/C][C]118.935637252419[/C][C]7.82641078967305[/C][/ROW]
[ROW][C]0.75[/C][C]120.602134211454[/C][C]7.29182520506962[/C][/ROW]
[ROW][C]0.76[/C][C]122.168176671585[/C][C]6.71560418091667[/C][/ROW]
[ROW][C]0.77[/C][C]123.630562943462[/C][C]6.13858529508591[/C][/ROW]
[ROW][C]0.78[/C][C]124.994336800599[/C][C]5.60020023129682[/C][/ROW]
[ROW][C]0.79[/C][C]126.272292201813[/C][C]5.1346167252671[/C][/ROW]
[ROW][C]0.8[/C][C]127.483644734988[/C][C]4.76594757477286[/C][/ROW]
[ROW][C]0.81[/C][C]128.652144558986[/C][C]4.50753944491776[/C][/ROW]
[ROW][C]0.82[/C][C]129.803827715854[/C][C]4.36183735518356[/C][/ROW]
[ROW][C]0.83[/C][C]130.964464546054[/C][C]4.32003783111525[/C][/ROW]
[ROW][C]0.84[/C][C]132.156701292806[/C][C]4.36184337894939[/C][/ROW]
[ROW][C]0.85[/C][C]133.397027619445[/C][C]4.4548453241583[/C][/ROW]
[ROW][C]0.86[/C][C]134.693054875594[/C][C]4.55581144821392[/C][/ROW]
[ROW][C]0.87[/C][C]136.04200552341[/C][C]4.61751792208872[/C][/ROW]
[ROW][C]0.88[/C][C]137.431525079865[/C][C]4.59985451351282[/C][/ROW]
[ROW][C]0.89[/C][C]138.843730458201[/C][C]4.48326077445667[/C][/ROW]
[ROW][C]0.9[/C][C]140.262828626384[/C][C]4.27823636173994[/C][/ROW]
[ROW][C]0.91[/C][C]141.685805455001[/C][C]4.02939853951641[/C][/ROW]
[ROW][C]0.92[/C][C]143.134311479959[/C][C]3.81405581592191[/C][/ROW]
[ROW][C]0.93[/C][C]144.662999673821[/C][C]3.73340745332696[/C][/ROW]
[ROW][C]0.94[/C][C]146.355082427665[/C][C]3.87318237210238[/C][/ROW]
[ROW][C]0.95[/C][C]148.294408156688[/C][C]4.20294391314076[/C][/ROW]
[ROW][C]0.96[/C][C]150.515395678209[/C][C]4.48380888111236[/C][/ROW]
[ROW][C]0.97[/C][C]152.957959560636[/C][C]4.35928339068506[/C][/ROW]
[ROW][C]0.98[/C][C]155.450222301068[/C][C]3.71010397325704[/C][/ROW]
[ROW][C]0.99[/C][C]157.659251855925[/C][C]3.05291884071947[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79430&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79430&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
0.0155.7549823566871.70769273954281
0.0256.86717586266241.63070044284852
0.0358.0289742422251.96246686935165
0.0459.19557770499352.39523269549220
0.0560.37162374258112.62459688215168
0.0661.51142776045522.57150505300247
0.0762.54839160269832.31989722557607
0.0863.43937793601191.99861713883828
0.0964.1780769709491.70266903430863
0.164.78484833296091.47576770521117
0.1165.29103701785781.32564038829171
0.1265.72775738433441.24344945147928
0.1366.12073894313231.21457424765829
0.1466.489249048081.22434793827686
0.1566.84693047013181.26089509940139
0.1667.20323502043641.31689616636401
0.1767.56480522612791.38902640485959
0.1867.93649047768861.47582488111956
0.1968.32186218251161.57519044430245
0.268.72324533732381.68230024404765
0.2169.14142383823981.78919057267920
0.2269.57526187036071.88520723292164
0.2370.02148390385781.95945350270941
0.2470.47477839927492.00239370112496
0.2570.9282713438162.00786691800969
0.2671.37429896203131.97397387833706
0.2771.80532804663711.90358647901594
0.2872.21484287954231.80343844527647
0.2972.59803776657571.68332198281137
0.372.95220997615611.55392335629184
0.3173.27682026977851.42591253742187
0.3273.57325853150331.30818754367358
0.3373.8444057106351.20706880677759
0.3474.0941119374891.12610541945534
0.3574.32671218442981.06616655768150
0.3674.54667860130151.02683870897699
0.3774.75846979509321.00716894776157
0.3874.96659077338281.00761496175422
0.3975.1758319192121.03066520538676
0.475.39161871237821.08162080851751
0.4175.62038130243931.16831531222051
0.4275.86984737825371.29973565104017
0.4376.1491735192581.48467577522633
0.4476.46885739655211.72936007828104
0.4576.8404115113832.03733713623661
0.4677.27582219254742.40804084300268
0.4777.78685743738612.83660747731369
0.4878.38431578098863.31473419916904
0.4979.07731920679383.83072084452354
0.579.87274318070834.37126066760278
0.5180.77484816094174.92152568867358
0.5281.78513654235565.46725680964108
0.5382.9024178232645.99547381486645
0.5484.12303448054466.49479950797377
0.5585.44119019120146.95577025808061
0.5686.84933277679197.37058125987119
0.5788.33857066474627.73330641071655
0.5889.89913099565888.03978944865696
0.5991.52088415230938.2885302019374
0.693.1939508159718.48085806137664
0.6194.90936977549128.62248771179782
0.6296.65974600036978.72285705827077
0.6398.43973915958678.79472685497952
0.64100.2462198362938.85201983932121
0.65102.0779390928568.90655409724866
0.66103.9346392863358.96438385180091
0.67105.8156718341299.02247727817881
0.68107.7183493050799.06764548279141
0.69109.6363955238119.0778464815226
0.7111.5589158337199.02589442852728
0.71113.4702537421368.886255466707
0.72115.3509266555448.64072925495417
0.73117.1795800328838.28415757503603
0.74118.9356372524197.82641078967305
0.75120.6021342114547.29182520506962
0.76122.1681766715856.71560418091667
0.77123.6305629434626.13858529508591
0.78124.9943368005995.60020023129682
0.79126.2722922018135.1346167252671
0.8127.4836447349884.76594757477286
0.81128.6521445589864.50753944491776
0.82129.8038277158544.36183735518356
0.83130.9644645460544.32003783111525
0.84132.1567012928064.36184337894939
0.85133.3970276194454.4548453241583
0.86134.6930548755944.55581144821392
0.87136.042005523414.61751792208872
0.88137.4315250798654.59985451351282
0.89138.8437304582014.48326077445667
0.9140.2628286263844.27823636173994
0.91141.6858054550014.02939853951641
0.92143.1343114799593.81405581592191
0.93144.6629996738213.73340745332696
0.94146.3550824276653.87318237210238
0.95148.2944081566884.20294391314076
0.96150.5153956782094.48380888111236
0.97152.9579595606364.35928339068506
0.98155.4502223010683.71010397325704
0.99157.6592518559253.05291884071947


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')