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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 computationThu, 18 Oct 2012 08:49:38 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/18/t1350564666p92kkff9fbezemk.htm/, Retrieved Tue, 10 Feb 2026 11:49:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=179555, Retrieved Tue, 10 Feb 2026 11:49:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact314

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] [verkoop aantal pr...] [2012-10-18 12:49:38] [32426a9b6b43a24d932e8bdfe421cad9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
124275
58605
21828
42811
65963
128457
26867
143540
107458
258558
22475
294584
159848
289458
117950
78351
84589
44324
52285
185486
23846
13257
166999
148488
74747
55700
218584
187888
44788
18840
48787
69100
41892
90588
148574
50201
86828
102785
118844
145288
56790
287525
187880
87740
55258
58769
43366
77051
91574
15533
18425
65192
81059
73322
91261
86166
61842
25192
21059
15855
12618
101667
224275
55700
60748
41848
61781
120077
42032
46485
36861
55027
48999
68352
126987
86526
125340
69029
153287
135724
92108
119906
79798
97206

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'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=179555&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=179555&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=179555&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0113086.50021699181108.22565253955
0.0213971.42492428141678.57270088284
0.0315071.57251622742034.68826741341
0.0416237.5755788042281.36725441647
0.0517408.36243508682507.45261484564
0.0618576.68459420292743.29242831536
0.0719761.51219208333048.7234763252
0.0820999.21470335183509.52987603982
0.0922338.87836772544180.44644584095
0.123831.17426036585039.08370296788
0.1125511.5790654725981.91168670255
0.1227384.92491531266856.33768861318
0.1329418.20495447217507.45419664457
0.1431544.88956118427824.15345650069
0.1533679.26548254247768.87967827496
0.1635735.62545065567383.95531216918
0.1737645.90732633026773.1778733863
0.1839370.77255401256069.6437890172
0.1940902.10453163045401.59935757096
0.242257.98619772844865.17345004034
0.2143473.19249211384508.60017285958
0.2244588.6896120864330.46460472974
0.2345642.87409423834293.24899454815
0.2446665.97204031854343.86726933948
0.2547677.7744863814431.67810566346
0.2648688.06358384124517.60703681043
0.2749698.74900841994577.2678420217
0.2850706.76171586794600.02671631079
0.2951706.96540105724587.05131212772
0.352694.60333017634548.87317771909
0.3153667.02476369914502.04446079978
0.3254624.61045625764465.06035094138
0.3355570.94645000854455.41692310207
0.3456512.38844111824486.30823143589
0.3557457.21759351614564.83229174625
0.3658414.61003183084691.62956453591
0.3759393.62523991564862.15324553326
0.3860402.36894151835067.96830484822
0.3961447.41695930015299.18156976984
0.462533.51520516765545.69066455805
0.4163663.5132124545798.14903626989
0.4264838.45473465876048.2835305095
0.4366057.74172719266289.11148867483
0.4467319.303594636513.69086097068
0.4568619.73364205036716.26893837606
0.4669954.38939273166890.5521728452
0.4771317.48395035737030.77047318736
0.4872702.21563260427131.06503140818
0.4974100.98973638627187.41046004223
0.575505.77964184717197.8264567396
0.5176908.65679309177163.25037215606
0.5278302.49360038027088.71113917466
0.5379681.81309856936984.11359267623
0.5481043.72689156566863.87763621296
0.5582388.87093426336748.59294113108
0.5683722.21998880436662.38332817562
0.5785053.64028477286633.18648500093
0.5886398.03161792886689.5921565932
0.5987774.92149577226856.90764781184
0.689207.41156322347152.46859946009
0.6190720.4451022017581.48292331848
0.6292338.4642185428133.85002972981
0.6394082.64953758658783.03427503399
0.6495968.06729406969487.38031798843
0.6598001.161667443910194.4191281442
0.66100178.08927807810846.0062994671
0.67102484.36233649311386.2054740282
0.68104896.12186309711769.7007171427
0.69107383.10078401911969.5947046873
0.7109912.99006378111984.2521885079
0.71112456.55668653111839.4428734136
0.72114992.57469481611586.3687754206
0.73117511.52104175511294.5397935272
0.74120017.13664956311038.3819601129
0.75122525.38739881810882.0316874934
0.76125061.02880331210863.0504878357
0.77127652.7386397710983.3923524687
0.78130328.40721123111213.4306772897
0.79133112.39793946311507.7722733103
0.8136026.18827840811828.9366996999
0.81139092.71388591712170.3557255373
0.82142343.19688267412568.0692418855
0.83145823.81615501413095.8134030995
0.84149599.09157380413837.0843871362
0.85153750.03168538814843.3640417974
0.86158368.03550125116102.8523862381
0.87163549.20683341617546.345143882
0.88169395.92577762819097.8922365311
0.89176030.6923681320747.2721579163
0.9183620.08939596522595.4089648624
0.91192395.18158788124819.9528113635
0.92202641.62431204627538.195054058
0.93214622.65989509930603.6695724018
0.94228402.12892031833382.9014743301
0.95243579.8232694634592.3290256276
0.96259068.89168498732504.0148514733
0.97273187.16317221225996.914088815
0.98284260.09306730816301.6081367552
0.99291386.5776601937816.49982813668

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 13086.5002169918 & 1108.22565253955 \tabularnewline
0.02 & 13971.4249242814 & 1678.57270088284 \tabularnewline
0.03 & 15071.5725162274 & 2034.68826741341 \tabularnewline
0.04 & 16237.575578804 & 2281.36725441647 \tabularnewline
0.05 & 17408.3624350868 & 2507.45261484564 \tabularnewline
0.06 & 18576.6845942029 & 2743.29242831536 \tabularnewline
0.07 & 19761.5121920833 & 3048.7234763252 \tabularnewline
0.08 & 20999.2147033518 & 3509.52987603982 \tabularnewline
0.09 & 22338.8783677254 & 4180.44644584095 \tabularnewline
0.1 & 23831.1742603658 & 5039.08370296788 \tabularnewline
0.11 & 25511.579065472 & 5981.91168670255 \tabularnewline
0.12 & 27384.9249153126 & 6856.33768861318 \tabularnewline
0.13 & 29418.2049544721 & 7507.45419664457 \tabularnewline
0.14 & 31544.8895611842 & 7824.15345650069 \tabularnewline
0.15 & 33679.2654825424 & 7768.87967827496 \tabularnewline
0.16 & 35735.6254506556 & 7383.95531216918 \tabularnewline
0.17 & 37645.9073263302 & 6773.1778733863 \tabularnewline
0.18 & 39370.7725540125 & 6069.6437890172 \tabularnewline
0.19 & 40902.1045316304 & 5401.59935757096 \tabularnewline
0.2 & 42257.9861977284 & 4865.17345004034 \tabularnewline
0.21 & 43473.1924921138 & 4508.60017285958 \tabularnewline
0.22 & 44588.689612086 & 4330.46460472974 \tabularnewline
0.23 & 45642.8740942383 & 4293.24899454815 \tabularnewline
0.24 & 46665.9720403185 & 4343.86726933948 \tabularnewline
0.25 & 47677.774486381 & 4431.67810566346 \tabularnewline
0.26 & 48688.0635838412 & 4517.60703681043 \tabularnewline
0.27 & 49698.7490084199 & 4577.2678420217 \tabularnewline
0.28 & 50706.7617158679 & 4600.02671631079 \tabularnewline
0.29 & 51706.9654010572 & 4587.05131212772 \tabularnewline
0.3 & 52694.6033301763 & 4548.87317771909 \tabularnewline
0.31 & 53667.0247636991 & 4502.04446079978 \tabularnewline
0.32 & 54624.6104562576 & 4465.06035094138 \tabularnewline
0.33 & 55570.9464500085 & 4455.41692310207 \tabularnewline
0.34 & 56512.3884411182 & 4486.30823143589 \tabularnewline
0.35 & 57457.2175935161 & 4564.83229174625 \tabularnewline
0.36 & 58414.6100318308 & 4691.62956453591 \tabularnewline
0.37 & 59393.6252399156 & 4862.15324553326 \tabularnewline
0.38 & 60402.3689415183 & 5067.96830484822 \tabularnewline
0.39 & 61447.4169593001 & 5299.18156976984 \tabularnewline
0.4 & 62533.5152051676 & 5545.69066455805 \tabularnewline
0.41 & 63663.513212454 & 5798.14903626989 \tabularnewline
0.42 & 64838.4547346587 & 6048.2835305095 \tabularnewline
0.43 & 66057.7417271926 & 6289.11148867483 \tabularnewline
0.44 & 67319.30359463 & 6513.69086097068 \tabularnewline
0.45 & 68619.7336420503 & 6716.26893837606 \tabularnewline
0.46 & 69954.3893927316 & 6890.5521728452 \tabularnewline
0.47 & 71317.4839503573 & 7030.77047318736 \tabularnewline
0.48 & 72702.2156326042 & 7131.06503140818 \tabularnewline
0.49 & 74100.9897363862 & 7187.41046004223 \tabularnewline
0.5 & 75505.7796418471 & 7197.8264567396 \tabularnewline
0.51 & 76908.6567930917 & 7163.25037215606 \tabularnewline
0.52 & 78302.4936003802 & 7088.71113917466 \tabularnewline
0.53 & 79681.8130985693 & 6984.11359267623 \tabularnewline
0.54 & 81043.7268915656 & 6863.87763621296 \tabularnewline
0.55 & 82388.8709342633 & 6748.59294113108 \tabularnewline
0.56 & 83722.2199888043 & 6662.38332817562 \tabularnewline
0.57 & 85053.6402847728 & 6633.18648500093 \tabularnewline
0.58 & 86398.0316179288 & 6689.5921565932 \tabularnewline
0.59 & 87774.9214957722 & 6856.90764781184 \tabularnewline
0.6 & 89207.4115632234 & 7152.46859946009 \tabularnewline
0.61 & 90720.445102201 & 7581.48292331848 \tabularnewline
0.62 & 92338.464218542 & 8133.85002972981 \tabularnewline
0.63 & 94082.6495375865 & 8783.03427503399 \tabularnewline
0.64 & 95968.0672940696 & 9487.38031798843 \tabularnewline
0.65 & 98001.1616674439 & 10194.4191281442 \tabularnewline
0.66 & 100178.089278078 & 10846.0062994671 \tabularnewline
0.67 & 102484.362336493 & 11386.2054740282 \tabularnewline
0.68 & 104896.121863097 & 11769.7007171427 \tabularnewline
0.69 & 107383.100784019 & 11969.5947046873 \tabularnewline
0.7 & 109912.990063781 & 11984.2521885079 \tabularnewline
0.71 & 112456.556686531 & 11839.4428734136 \tabularnewline
0.72 & 114992.574694816 & 11586.3687754206 \tabularnewline
0.73 & 117511.521041755 & 11294.5397935272 \tabularnewline
0.74 & 120017.136649563 & 11038.3819601129 \tabularnewline
0.75 & 122525.387398818 & 10882.0316874934 \tabularnewline
0.76 & 125061.028803312 & 10863.0504878357 \tabularnewline
0.77 & 127652.73863977 & 10983.3923524687 \tabularnewline
0.78 & 130328.407211231 & 11213.4306772897 \tabularnewline
0.79 & 133112.397939463 & 11507.7722733103 \tabularnewline
0.8 & 136026.188278408 & 11828.9366996999 \tabularnewline
0.81 & 139092.713885917 & 12170.3557255373 \tabularnewline
0.82 & 142343.196882674 & 12568.0692418855 \tabularnewline
0.83 & 145823.816155014 & 13095.8134030995 \tabularnewline
0.84 & 149599.091573804 & 13837.0843871362 \tabularnewline
0.85 & 153750.031685388 & 14843.3640417974 \tabularnewline
0.86 & 158368.035501251 & 16102.8523862381 \tabularnewline
0.87 & 163549.206833416 & 17546.345143882 \tabularnewline
0.88 & 169395.925777628 & 19097.8922365311 \tabularnewline
0.89 & 176030.69236813 & 20747.2721579163 \tabularnewline
0.9 & 183620.089395965 & 22595.4089648624 \tabularnewline
0.91 & 192395.181587881 & 24819.9528113635 \tabularnewline
0.92 & 202641.624312046 & 27538.195054058 \tabularnewline
0.93 & 214622.659895099 & 30603.6695724018 \tabularnewline
0.94 & 228402.128920318 & 33382.9014743301 \tabularnewline
0.95 & 243579.82326946 & 34592.3290256276 \tabularnewline
0.96 & 259068.891684987 & 32504.0148514733 \tabularnewline
0.97 & 273187.163172212 & 25996.914088815 \tabularnewline
0.98 & 284260.093067308 & 16301.6081367552 \tabularnewline
0.99 & 291386.577660193 & 7816.49982813668 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=179555&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]13086.5002169918[/C][C]1108.22565253955[/C][/ROW]
[ROW][C]0.02[/C][C]13971.4249242814[/C][C]1678.57270088284[/C][/ROW]
[ROW][C]0.03[/C][C]15071.5725162274[/C][C]2034.68826741341[/C][/ROW]
[ROW][C]0.04[/C][C]16237.575578804[/C][C]2281.36725441647[/C][/ROW]
[ROW][C]0.05[/C][C]17408.3624350868[/C][C]2507.45261484564[/C][/ROW]
[ROW][C]0.06[/C][C]18576.6845942029[/C][C]2743.29242831536[/C][/ROW]
[ROW][C]0.07[/C][C]19761.5121920833[/C][C]3048.7234763252[/C][/ROW]
[ROW][C]0.08[/C][C]20999.2147033518[/C][C]3509.52987603982[/C][/ROW]
[ROW][C]0.09[/C][C]22338.8783677254[/C][C]4180.44644584095[/C][/ROW]
[ROW][C]0.1[/C][C]23831.1742603658[/C][C]5039.08370296788[/C][/ROW]
[ROW][C]0.11[/C][C]25511.579065472[/C][C]5981.91168670255[/C][/ROW]
[ROW][C]0.12[/C][C]27384.9249153126[/C][C]6856.33768861318[/C][/ROW]
[ROW][C]0.13[/C][C]29418.2049544721[/C][C]7507.45419664457[/C][/ROW]
[ROW][C]0.14[/C][C]31544.8895611842[/C][C]7824.15345650069[/C][/ROW]
[ROW][C]0.15[/C][C]33679.2654825424[/C][C]7768.87967827496[/C][/ROW]
[ROW][C]0.16[/C][C]35735.6254506556[/C][C]7383.95531216918[/C][/ROW]
[ROW][C]0.17[/C][C]37645.9073263302[/C][C]6773.1778733863[/C][/ROW]
[ROW][C]0.18[/C][C]39370.7725540125[/C][C]6069.6437890172[/C][/ROW]
[ROW][C]0.19[/C][C]40902.1045316304[/C][C]5401.59935757096[/C][/ROW]
[ROW][C]0.2[/C][C]42257.9861977284[/C][C]4865.17345004034[/C][/ROW]
[ROW][C]0.21[/C][C]43473.1924921138[/C][C]4508.60017285958[/C][/ROW]
[ROW][C]0.22[/C][C]44588.689612086[/C][C]4330.46460472974[/C][/ROW]
[ROW][C]0.23[/C][C]45642.8740942383[/C][C]4293.24899454815[/C][/ROW]
[ROW][C]0.24[/C][C]46665.9720403185[/C][C]4343.86726933948[/C][/ROW]
[ROW][C]0.25[/C][C]47677.774486381[/C][C]4431.67810566346[/C][/ROW]
[ROW][C]0.26[/C][C]48688.0635838412[/C][C]4517.60703681043[/C][/ROW]
[ROW][C]0.27[/C][C]49698.7490084199[/C][C]4577.2678420217[/C][/ROW]
[ROW][C]0.28[/C][C]50706.7617158679[/C][C]4600.02671631079[/C][/ROW]
[ROW][C]0.29[/C][C]51706.9654010572[/C][C]4587.05131212772[/C][/ROW]
[ROW][C]0.3[/C][C]52694.6033301763[/C][C]4548.87317771909[/C][/ROW]
[ROW][C]0.31[/C][C]53667.0247636991[/C][C]4502.04446079978[/C][/ROW]
[ROW][C]0.32[/C][C]54624.6104562576[/C][C]4465.06035094138[/C][/ROW]
[ROW][C]0.33[/C][C]55570.9464500085[/C][C]4455.41692310207[/C][/ROW]
[ROW][C]0.34[/C][C]56512.3884411182[/C][C]4486.30823143589[/C][/ROW]
[ROW][C]0.35[/C][C]57457.2175935161[/C][C]4564.83229174625[/C][/ROW]
[ROW][C]0.36[/C][C]58414.6100318308[/C][C]4691.62956453591[/C][/ROW]
[ROW][C]0.37[/C][C]59393.6252399156[/C][C]4862.15324553326[/C][/ROW]
[ROW][C]0.38[/C][C]60402.3689415183[/C][C]5067.96830484822[/C][/ROW]
[ROW][C]0.39[/C][C]61447.4169593001[/C][C]5299.18156976984[/C][/ROW]
[ROW][C]0.4[/C][C]62533.5152051676[/C][C]5545.69066455805[/C][/ROW]
[ROW][C]0.41[/C][C]63663.513212454[/C][C]5798.14903626989[/C][/ROW]
[ROW][C]0.42[/C][C]64838.4547346587[/C][C]6048.2835305095[/C][/ROW]
[ROW][C]0.43[/C][C]66057.7417271926[/C][C]6289.11148867483[/C][/ROW]
[ROW][C]0.44[/C][C]67319.30359463[/C][C]6513.69086097068[/C][/ROW]
[ROW][C]0.45[/C][C]68619.7336420503[/C][C]6716.26893837606[/C][/ROW]
[ROW][C]0.46[/C][C]69954.3893927316[/C][C]6890.5521728452[/C][/ROW]
[ROW][C]0.47[/C][C]71317.4839503573[/C][C]7030.77047318736[/C][/ROW]
[ROW][C]0.48[/C][C]72702.2156326042[/C][C]7131.06503140818[/C][/ROW]
[ROW][C]0.49[/C][C]74100.9897363862[/C][C]7187.41046004223[/C][/ROW]
[ROW][C]0.5[/C][C]75505.7796418471[/C][C]7197.8264567396[/C][/ROW]
[ROW][C]0.51[/C][C]76908.6567930917[/C][C]7163.25037215606[/C][/ROW]
[ROW][C]0.52[/C][C]78302.4936003802[/C][C]7088.71113917466[/C][/ROW]
[ROW][C]0.53[/C][C]79681.8130985693[/C][C]6984.11359267623[/C][/ROW]
[ROW][C]0.54[/C][C]81043.7268915656[/C][C]6863.87763621296[/C][/ROW]
[ROW][C]0.55[/C][C]82388.8709342633[/C][C]6748.59294113108[/C][/ROW]
[ROW][C]0.56[/C][C]83722.2199888043[/C][C]6662.38332817562[/C][/ROW]
[ROW][C]0.57[/C][C]85053.6402847728[/C][C]6633.18648500093[/C][/ROW]
[ROW][C]0.58[/C][C]86398.0316179288[/C][C]6689.5921565932[/C][/ROW]
[ROW][C]0.59[/C][C]87774.9214957722[/C][C]6856.90764781184[/C][/ROW]
[ROW][C]0.6[/C][C]89207.4115632234[/C][C]7152.46859946009[/C][/ROW]
[ROW][C]0.61[/C][C]90720.445102201[/C][C]7581.48292331848[/C][/ROW]
[ROW][C]0.62[/C][C]92338.464218542[/C][C]8133.85002972981[/C][/ROW]
[ROW][C]0.63[/C][C]94082.6495375865[/C][C]8783.03427503399[/C][/ROW]
[ROW][C]0.64[/C][C]95968.0672940696[/C][C]9487.38031798843[/C][/ROW]
[ROW][C]0.65[/C][C]98001.1616674439[/C][C]10194.4191281442[/C][/ROW]
[ROW][C]0.66[/C][C]100178.089278078[/C][C]10846.0062994671[/C][/ROW]
[ROW][C]0.67[/C][C]102484.362336493[/C][C]11386.2054740282[/C][/ROW]
[ROW][C]0.68[/C][C]104896.121863097[/C][C]11769.7007171427[/C][/ROW]
[ROW][C]0.69[/C][C]107383.100784019[/C][C]11969.5947046873[/C][/ROW]
[ROW][C]0.7[/C][C]109912.990063781[/C][C]11984.2521885079[/C][/ROW]
[ROW][C]0.71[/C][C]112456.556686531[/C][C]11839.4428734136[/C][/ROW]
[ROW][C]0.72[/C][C]114992.574694816[/C][C]11586.3687754206[/C][/ROW]
[ROW][C]0.73[/C][C]117511.521041755[/C][C]11294.5397935272[/C][/ROW]
[ROW][C]0.74[/C][C]120017.136649563[/C][C]11038.3819601129[/C][/ROW]
[ROW][C]0.75[/C][C]122525.387398818[/C][C]10882.0316874934[/C][/ROW]
[ROW][C]0.76[/C][C]125061.028803312[/C][C]10863.0504878357[/C][/ROW]
[ROW][C]0.77[/C][C]127652.73863977[/C][C]10983.3923524687[/C][/ROW]
[ROW][C]0.78[/C][C]130328.407211231[/C][C]11213.4306772897[/C][/ROW]
[ROW][C]0.79[/C][C]133112.397939463[/C][C]11507.7722733103[/C][/ROW]
[ROW][C]0.8[/C][C]136026.188278408[/C][C]11828.9366996999[/C][/ROW]
[ROW][C]0.81[/C][C]139092.713885917[/C][C]12170.3557255373[/C][/ROW]
[ROW][C]0.82[/C][C]142343.196882674[/C][C]12568.0692418855[/C][/ROW]
[ROW][C]0.83[/C][C]145823.816155014[/C][C]13095.8134030995[/C][/ROW]
[ROW][C]0.84[/C][C]149599.091573804[/C][C]13837.0843871362[/C][/ROW]
[ROW][C]0.85[/C][C]153750.031685388[/C][C]14843.3640417974[/C][/ROW]
[ROW][C]0.86[/C][C]158368.035501251[/C][C]16102.8523862381[/C][/ROW]
[ROW][C]0.87[/C][C]163549.206833416[/C][C]17546.345143882[/C][/ROW]
[ROW][C]0.88[/C][C]169395.925777628[/C][C]19097.8922365311[/C][/ROW]
[ROW][C]0.89[/C][C]176030.69236813[/C][C]20747.2721579163[/C][/ROW]
[ROW][C]0.9[/C][C]183620.089395965[/C][C]22595.4089648624[/C][/ROW]
[ROW][C]0.91[/C][C]192395.181587881[/C][C]24819.9528113635[/C][/ROW]
[ROW][C]0.92[/C][C]202641.624312046[/C][C]27538.195054058[/C][/ROW]
[ROW][C]0.93[/C][C]214622.659895099[/C][C]30603.6695724018[/C][/ROW]
[ROW][C]0.94[/C][C]228402.128920318[/C][C]33382.9014743301[/C][/ROW]
[ROW][C]0.95[/C][C]243579.82326946[/C][C]34592.3290256276[/C][/ROW]
[ROW][C]0.96[/C][C]259068.891684987[/C][C]32504.0148514733[/C][/ROW]
[ROW][C]0.97[/C][C]273187.163172212[/C][C]25996.914088815[/C][/ROW]
[ROW][C]0.98[/C][C]284260.093067308[/C][C]16301.6081367552[/C][/ROW]
[ROW][C]0.99[/C][C]291386.577660193[/C][C]7816.49982813668[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=179555&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=179555&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
0.0113086.50021699181108.22565253955
0.0213971.42492428141678.57270088284
0.0315071.57251622742034.68826741341
0.0416237.5755788042281.36725441647
0.0517408.36243508682507.45261484564
0.0618576.68459420292743.29242831536
0.0719761.51219208333048.7234763252
0.0820999.21470335183509.52987603982
0.0922338.87836772544180.44644584095
0.123831.17426036585039.08370296788
0.1125511.5790654725981.91168670255
0.1227384.92491531266856.33768861318
0.1329418.20495447217507.45419664457
0.1431544.88956118427824.15345650069
0.1533679.26548254247768.87967827496
0.1635735.62545065567383.95531216918
0.1737645.90732633026773.1778733863
0.1839370.77255401256069.6437890172
0.1940902.10453163045401.59935757096
0.242257.98619772844865.17345004034
0.2143473.19249211384508.60017285958
0.2244588.6896120864330.46460472974
0.2345642.87409423834293.24899454815
0.2446665.97204031854343.86726933948
0.2547677.7744863814431.67810566346
0.2648688.06358384124517.60703681043
0.2749698.74900841994577.2678420217
0.2850706.76171586794600.02671631079
0.2951706.96540105724587.05131212772
0.352694.60333017634548.87317771909
0.3153667.02476369914502.04446079978
0.3254624.61045625764465.06035094138
0.3355570.94645000854455.41692310207
0.3456512.38844111824486.30823143589
0.3557457.21759351614564.83229174625
0.3658414.61003183084691.62956453591
0.3759393.62523991564862.15324553326
0.3860402.36894151835067.96830484822
0.3961447.41695930015299.18156976984
0.462533.51520516765545.69066455805
0.4163663.5132124545798.14903626989
0.4264838.45473465876048.2835305095
0.4366057.74172719266289.11148867483
0.4467319.303594636513.69086097068
0.4568619.73364205036716.26893837606
0.4669954.38939273166890.5521728452
0.4771317.48395035737030.77047318736
0.4872702.21563260427131.06503140818
0.4974100.98973638627187.41046004223
0.575505.77964184717197.8264567396
0.5176908.65679309177163.25037215606
0.5278302.49360038027088.71113917466
0.5379681.81309856936984.11359267623
0.5481043.72689156566863.87763621296
0.5582388.87093426336748.59294113108
0.5683722.21998880436662.38332817562
0.5785053.64028477286633.18648500093
0.5886398.03161792886689.5921565932
0.5987774.92149577226856.90764781184
0.689207.41156322347152.46859946009
0.6190720.4451022017581.48292331848
0.6292338.4642185428133.85002972981
0.6394082.64953758658783.03427503399
0.6495968.06729406969487.38031798843
0.6598001.161667443910194.4191281442
0.66100178.08927807810846.0062994671
0.67102484.36233649311386.2054740282
0.68104896.12186309711769.7007171427
0.69107383.10078401911969.5947046873
0.7109912.99006378111984.2521885079
0.71112456.55668653111839.4428734136
0.72114992.57469481611586.3687754206
0.73117511.52104175511294.5397935272
0.74120017.13664956311038.3819601129
0.75122525.38739881810882.0316874934
0.76125061.02880331210863.0504878357
0.77127652.7386397710983.3923524687
0.78130328.40721123111213.4306772897
0.79133112.39793946311507.7722733103
0.8136026.18827840811828.9366996999
0.81139092.71388591712170.3557255373
0.82142343.19688267412568.0692418855
0.83145823.81615501413095.8134030995
0.84149599.09157380413837.0843871362
0.85153750.03168538814843.3640417974
0.86158368.03550125116102.8523862381
0.87163549.20683341617546.345143882
0.88169395.92577762819097.8922365311
0.89176030.6923681320747.2721579163
0.9183620.08939596522595.4089648624
0.91192395.18158788124819.9528113635
0.92202641.62431204627538.195054058
0.93214622.65989509930603.6695724018
0.94228402.12892031833382.9014743301
0.95243579.8232694634592.3290256276
0.96259068.89168498732504.0148514733
0.97273187.16317221225996.914088815
0.98284260.09306730816301.6081367552
0.99291386.5776601937816.49982813668


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')