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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, 09 Mar 2017 10:21:34 +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/2017/Mar/09/t14890549360t47a9sg95bvr00.htm/, Retrieved Wed, 15 May 2024 06:44:09 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 15 May 2024 06:44:09 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
62,38
62,62
64,15
64,97
66,12
67,08
68,66
69,04
70,8
73,2
74,19
75,36
75,54
76,81
77,69
79,34
80,36
80,74
81,12
82,95
87,31
88,93
90,8
91,29
91,36
92,72
95,75
97,19
98,73
99,03
99,4
99,66
100,5
101,21
101,26
101,44
101,97
102,23
102,58
101,91
101,63
101,1
100,71
100,75
100,14
97,72
94,91
94,34
97,11
96,51
95,8
95,25
95,09
94,97
95,21
95,46
95,33
95,14
95,6
95,66
95,66
96,33
97,66
98,27
99,53
100,86
101,26
101,29
101,38
101,49
101,29
101,26

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' @ 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0162.5950115944190.595908323955183
0.0263.04284981576231.06954995663982
0.0363.66905514859661.42128974139867
0.0464.39775551820511.65784463509847
0.0565.17487987315681.85878892200207
0.0665.9765833917122.06976100511493
0.0766.79877042963242.29727874410347
0.0867.64423761688882.53168186488007
0.0968.51462610013872.75720977078329
0.169.40727170877222.95559785681247
0.1170.31502576731353.10953024385918
0.1271.2276441602333.20878361799618
0.1372.13399391432033.25427513055169
0.1473.02447699554913.25887427605096
0.1573.89304795174113.2440540146717
0.1674.73833653189973.23403006409901
0.1775.56370435461993.24999271386757
0.1876.37640157070043.30672983528957
0.1977.18618661051793.41135480077991
0.278.00378260349953.5642773134724
0.2178.83942776408443.76029855097286
0.2279.70163554649593.9892814109108
0.2380.59619114966614.23657564287258
0.2481.52539559652124.48294442837155
0.2582.48759946268554.70684901310687
0.2683.47709765398194.88641267571199
0.2784.48444740404195.00242399995761
0.2885.49721511273765.04100497789588
0.2986.50107309143044.99536436750752
0.387.4810887378584.86634284897344
0.3188.42300720126794.66187791165828
0.3289.31433901828284.39468649749666
0.3390.14512082108714.08037863259639
0.3490.90829873485643.73535640550694
0.3591.59976374644453.37451782150552
0.3692.21812439001733.01096851380648
0.3792.76432437953112.65504274006737
0.3893.24120375813992.31491055386783
0.3993.6530731121031.99672869401731
0.494.00533579455621.70539114427304
0.4194.30416479101861.4443063657189
0.4294.55622497180161.21621715574439
0.4394.7684280557061.02263987368133
0.4494.94771243746960.864391191551727
0.4595.10084742759770.741128792490813
0.4695.23426676269050.651734495804956
0.4795.35393723343820.594421324959347
0.4895.46526525330740.566256080989309
0.4995.57303916403880.563511811027885
0.595.68140052239430.582221578871636
0.5195.79383538898970.618020359694644
0.5295.91317736926730.666760934634431
0.5396.04161721546660.724900673263199
0.5496.18071775714550.788521520031389
0.5596.33143620722910.854441190920106
0.5696.49415736828070.919591243180921
0.5796.66874062609740.981462745732412
0.5896.85458136981061.03755221680439
0.5997.05068464841141.08640416438668
0.697.25574655775321.12647251969088
0.6197.46823777711991.15715721325365
0.6297.686483962011.17776543759174
0.6397.90873890663311.18850230914238
0.6498.13324779619361.18938779200491
0.6598.35829887474821.18091775512308
0.6698.58226228831931.16376217679722
0.6798.80361505168311.1387194792923
0.6899.02095163563531.10664494470502
0.6999.23298105744281.06843637027494
0.799.43851355439961.02480444336155
0.7199.63644227480750.976274701234541
0.7299.82572689444340.923235213231762
0.73100.0053857696770.866115370361
0.74100.1745009826680.805159893898164
0.75100.3322371797040.741083409541422
0.76100.4778718876590.674509453870311
0.77100.6108334014990.606375618335488
0.78100.7307428718770.537897157823061
0.79100.8374590719720.470255335648479
0.8100.9311256690110.404789532043406
0.81101.0122198885040.342864147501204
0.82101.0815977780950.286002692234752
0.83101.1405264800190.235558620745153
0.84101.190691316780.193140161026106
0.85101.2341683315360.16020758674353
0.86101.2733618372360.137906897898875
0.87101.3109174604990.126898666214938
0.88101.3496256483310.126826121745094
0.89101.3923203745220.136443545984976
0.9101.4417543059370.153886960040078
0.91101.5004165936850.176953277949208
0.92101.5702941368290.202540824915567
0.93101.6526950412460.22643169428092
0.94101.7484172522440.244085763472811
0.95101.8585666886260.253588062409356
0.96101.9857884621770.258328884878696
0.97102.1339806648930.266266650717248
0.98102.3019784532160.284860502354959
0.99102.4681056054020.315830338810219

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 62.595011594419 & 0.595908323955183 \tabularnewline
0.02 & 63.0428498157623 & 1.06954995663982 \tabularnewline
0.03 & 63.6690551485966 & 1.42128974139867 \tabularnewline
0.04 & 64.3977555182051 & 1.65784463509847 \tabularnewline
0.05 & 65.1748798731568 & 1.85878892200207 \tabularnewline
0.06 & 65.976583391712 & 2.06976100511493 \tabularnewline
0.07 & 66.7987704296324 & 2.29727874410347 \tabularnewline
0.08 & 67.6442376168888 & 2.53168186488007 \tabularnewline
0.09 & 68.5146261001387 & 2.75720977078329 \tabularnewline
0.1 & 69.4072717087722 & 2.95559785681247 \tabularnewline
0.11 & 70.3150257673135 & 3.10953024385918 \tabularnewline
0.12 & 71.227644160233 & 3.20878361799618 \tabularnewline
0.13 & 72.1339939143203 & 3.25427513055169 \tabularnewline
0.14 & 73.0244769955491 & 3.25887427605096 \tabularnewline
0.15 & 73.8930479517411 & 3.2440540146717 \tabularnewline
0.16 & 74.7383365318997 & 3.23403006409901 \tabularnewline
0.17 & 75.5637043546199 & 3.24999271386757 \tabularnewline
0.18 & 76.3764015707004 & 3.30672983528957 \tabularnewline
0.19 & 77.1861866105179 & 3.41135480077991 \tabularnewline
0.2 & 78.0037826034995 & 3.5642773134724 \tabularnewline
0.21 & 78.8394277640844 & 3.76029855097286 \tabularnewline
0.22 & 79.7016355464959 & 3.9892814109108 \tabularnewline
0.23 & 80.5961911496661 & 4.23657564287258 \tabularnewline
0.24 & 81.5253955965212 & 4.48294442837155 \tabularnewline
0.25 & 82.4875994626855 & 4.70684901310687 \tabularnewline
0.26 & 83.4770976539819 & 4.88641267571199 \tabularnewline
0.27 & 84.4844474040419 & 5.00242399995761 \tabularnewline
0.28 & 85.4972151127376 & 5.04100497789588 \tabularnewline
0.29 & 86.5010730914304 & 4.99536436750752 \tabularnewline
0.3 & 87.481088737858 & 4.86634284897344 \tabularnewline
0.31 & 88.4230072012679 & 4.66187791165828 \tabularnewline
0.32 & 89.3143390182828 & 4.39468649749666 \tabularnewline
0.33 & 90.1451208210871 & 4.08037863259639 \tabularnewline
0.34 & 90.9082987348564 & 3.73535640550694 \tabularnewline
0.35 & 91.5997637464445 & 3.37451782150552 \tabularnewline
0.36 & 92.2181243900173 & 3.01096851380648 \tabularnewline
0.37 & 92.7643243795311 & 2.65504274006737 \tabularnewline
0.38 & 93.2412037581399 & 2.31491055386783 \tabularnewline
0.39 & 93.653073112103 & 1.99672869401731 \tabularnewline
0.4 & 94.0053357945562 & 1.70539114427304 \tabularnewline
0.41 & 94.3041647910186 & 1.4443063657189 \tabularnewline
0.42 & 94.5562249718016 & 1.21621715574439 \tabularnewline
0.43 & 94.768428055706 & 1.02263987368133 \tabularnewline
0.44 & 94.9477124374696 & 0.864391191551727 \tabularnewline
0.45 & 95.1008474275977 & 0.741128792490813 \tabularnewline
0.46 & 95.2342667626905 & 0.651734495804956 \tabularnewline
0.47 & 95.3539372334382 & 0.594421324959347 \tabularnewline
0.48 & 95.4652652533074 & 0.566256080989309 \tabularnewline
0.49 & 95.5730391640388 & 0.563511811027885 \tabularnewline
0.5 & 95.6814005223943 & 0.582221578871636 \tabularnewline
0.51 & 95.7938353889897 & 0.618020359694644 \tabularnewline
0.52 & 95.9131773692673 & 0.666760934634431 \tabularnewline
0.53 & 96.0416172154666 & 0.724900673263199 \tabularnewline
0.54 & 96.1807177571455 & 0.788521520031389 \tabularnewline
0.55 & 96.3314362072291 & 0.854441190920106 \tabularnewline
0.56 & 96.4941573682807 & 0.919591243180921 \tabularnewline
0.57 & 96.6687406260974 & 0.981462745732412 \tabularnewline
0.58 & 96.8545813698106 & 1.03755221680439 \tabularnewline
0.59 & 97.0506846484114 & 1.08640416438668 \tabularnewline
0.6 & 97.2557465577532 & 1.12647251969088 \tabularnewline
0.61 & 97.4682377771199 & 1.15715721325365 \tabularnewline
0.62 & 97.68648396201 & 1.17776543759174 \tabularnewline
0.63 & 97.9087389066331 & 1.18850230914238 \tabularnewline
0.64 & 98.1332477961936 & 1.18938779200491 \tabularnewline
0.65 & 98.3582988747482 & 1.18091775512308 \tabularnewline
0.66 & 98.5822622883193 & 1.16376217679722 \tabularnewline
0.67 & 98.8036150516831 & 1.1387194792923 \tabularnewline
0.68 & 99.0209516356353 & 1.10664494470502 \tabularnewline
0.69 & 99.2329810574428 & 1.06843637027494 \tabularnewline
0.7 & 99.4385135543996 & 1.02480444336155 \tabularnewline
0.71 & 99.6364422748075 & 0.976274701234541 \tabularnewline
0.72 & 99.8257268944434 & 0.923235213231762 \tabularnewline
0.73 & 100.005385769677 & 0.866115370361 \tabularnewline
0.74 & 100.174500982668 & 0.805159893898164 \tabularnewline
0.75 & 100.332237179704 & 0.741083409541422 \tabularnewline
0.76 & 100.477871887659 & 0.674509453870311 \tabularnewline
0.77 & 100.610833401499 & 0.606375618335488 \tabularnewline
0.78 & 100.730742871877 & 0.537897157823061 \tabularnewline
0.79 & 100.837459071972 & 0.470255335648479 \tabularnewline
0.8 & 100.931125669011 & 0.404789532043406 \tabularnewline
0.81 & 101.012219888504 & 0.342864147501204 \tabularnewline
0.82 & 101.081597778095 & 0.286002692234752 \tabularnewline
0.83 & 101.140526480019 & 0.235558620745153 \tabularnewline
0.84 & 101.19069131678 & 0.193140161026106 \tabularnewline
0.85 & 101.234168331536 & 0.16020758674353 \tabularnewline
0.86 & 101.273361837236 & 0.137906897898875 \tabularnewline
0.87 & 101.310917460499 & 0.126898666214938 \tabularnewline
0.88 & 101.349625648331 & 0.126826121745094 \tabularnewline
0.89 & 101.392320374522 & 0.136443545984976 \tabularnewline
0.9 & 101.441754305937 & 0.153886960040078 \tabularnewline
0.91 & 101.500416593685 & 0.176953277949208 \tabularnewline
0.92 & 101.570294136829 & 0.202540824915567 \tabularnewline
0.93 & 101.652695041246 & 0.22643169428092 \tabularnewline
0.94 & 101.748417252244 & 0.244085763472811 \tabularnewline
0.95 & 101.858566688626 & 0.253588062409356 \tabularnewline
0.96 & 101.985788462177 & 0.258328884878696 \tabularnewline
0.97 & 102.133980664893 & 0.266266650717248 \tabularnewline
0.98 & 102.301978453216 & 0.284860502354959 \tabularnewline
0.99 & 102.468105605402 & 0.315830338810219 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]62.595011594419[/C][C]0.595908323955183[/C][/ROW]
[ROW][C]0.02[/C][C]63.0428498157623[/C][C]1.06954995663982[/C][/ROW]
[ROW][C]0.03[/C][C]63.6690551485966[/C][C]1.42128974139867[/C][/ROW]
[ROW][C]0.04[/C][C]64.3977555182051[/C][C]1.65784463509847[/C][/ROW]
[ROW][C]0.05[/C][C]65.1748798731568[/C][C]1.85878892200207[/C][/ROW]
[ROW][C]0.06[/C][C]65.976583391712[/C][C]2.06976100511493[/C][/ROW]
[ROW][C]0.07[/C][C]66.7987704296324[/C][C]2.29727874410347[/C][/ROW]
[ROW][C]0.08[/C][C]67.6442376168888[/C][C]2.53168186488007[/C][/ROW]
[ROW][C]0.09[/C][C]68.5146261001387[/C][C]2.75720977078329[/C][/ROW]
[ROW][C]0.1[/C][C]69.4072717087722[/C][C]2.95559785681247[/C][/ROW]
[ROW][C]0.11[/C][C]70.3150257673135[/C][C]3.10953024385918[/C][/ROW]
[ROW][C]0.12[/C][C]71.227644160233[/C][C]3.20878361799618[/C][/ROW]
[ROW][C]0.13[/C][C]72.1339939143203[/C][C]3.25427513055169[/C][/ROW]
[ROW][C]0.14[/C][C]73.0244769955491[/C][C]3.25887427605096[/C][/ROW]
[ROW][C]0.15[/C][C]73.8930479517411[/C][C]3.2440540146717[/C][/ROW]
[ROW][C]0.16[/C][C]74.7383365318997[/C][C]3.23403006409901[/C][/ROW]
[ROW][C]0.17[/C][C]75.5637043546199[/C][C]3.24999271386757[/C][/ROW]
[ROW][C]0.18[/C][C]76.3764015707004[/C][C]3.30672983528957[/C][/ROW]
[ROW][C]0.19[/C][C]77.1861866105179[/C][C]3.41135480077991[/C][/ROW]
[ROW][C]0.2[/C][C]78.0037826034995[/C][C]3.5642773134724[/C][/ROW]
[ROW][C]0.21[/C][C]78.8394277640844[/C][C]3.76029855097286[/C][/ROW]
[ROW][C]0.22[/C][C]79.7016355464959[/C][C]3.9892814109108[/C][/ROW]
[ROW][C]0.23[/C][C]80.5961911496661[/C][C]4.23657564287258[/C][/ROW]
[ROW][C]0.24[/C][C]81.5253955965212[/C][C]4.48294442837155[/C][/ROW]
[ROW][C]0.25[/C][C]82.4875994626855[/C][C]4.70684901310687[/C][/ROW]
[ROW][C]0.26[/C][C]83.4770976539819[/C][C]4.88641267571199[/C][/ROW]
[ROW][C]0.27[/C][C]84.4844474040419[/C][C]5.00242399995761[/C][/ROW]
[ROW][C]0.28[/C][C]85.4972151127376[/C][C]5.04100497789588[/C][/ROW]
[ROW][C]0.29[/C][C]86.5010730914304[/C][C]4.99536436750752[/C][/ROW]
[ROW][C]0.3[/C][C]87.481088737858[/C][C]4.86634284897344[/C][/ROW]
[ROW][C]0.31[/C][C]88.4230072012679[/C][C]4.66187791165828[/C][/ROW]
[ROW][C]0.32[/C][C]89.3143390182828[/C][C]4.39468649749666[/C][/ROW]
[ROW][C]0.33[/C][C]90.1451208210871[/C][C]4.08037863259639[/C][/ROW]
[ROW][C]0.34[/C][C]90.9082987348564[/C][C]3.73535640550694[/C][/ROW]
[ROW][C]0.35[/C][C]91.5997637464445[/C][C]3.37451782150552[/C][/ROW]
[ROW][C]0.36[/C][C]92.2181243900173[/C][C]3.01096851380648[/C][/ROW]
[ROW][C]0.37[/C][C]92.7643243795311[/C][C]2.65504274006737[/C][/ROW]
[ROW][C]0.38[/C][C]93.2412037581399[/C][C]2.31491055386783[/C][/ROW]
[ROW][C]0.39[/C][C]93.653073112103[/C][C]1.99672869401731[/C][/ROW]
[ROW][C]0.4[/C][C]94.0053357945562[/C][C]1.70539114427304[/C][/ROW]
[ROW][C]0.41[/C][C]94.3041647910186[/C][C]1.4443063657189[/C][/ROW]
[ROW][C]0.42[/C][C]94.5562249718016[/C][C]1.21621715574439[/C][/ROW]
[ROW][C]0.43[/C][C]94.768428055706[/C][C]1.02263987368133[/C][/ROW]
[ROW][C]0.44[/C][C]94.9477124374696[/C][C]0.864391191551727[/C][/ROW]
[ROW][C]0.45[/C][C]95.1008474275977[/C][C]0.741128792490813[/C][/ROW]
[ROW][C]0.46[/C][C]95.2342667626905[/C][C]0.651734495804956[/C][/ROW]
[ROW][C]0.47[/C][C]95.3539372334382[/C][C]0.594421324959347[/C][/ROW]
[ROW][C]0.48[/C][C]95.4652652533074[/C][C]0.566256080989309[/C][/ROW]
[ROW][C]0.49[/C][C]95.5730391640388[/C][C]0.563511811027885[/C][/ROW]
[ROW][C]0.5[/C][C]95.6814005223943[/C][C]0.582221578871636[/C][/ROW]
[ROW][C]0.51[/C][C]95.7938353889897[/C][C]0.618020359694644[/C][/ROW]
[ROW][C]0.52[/C][C]95.9131773692673[/C][C]0.666760934634431[/C][/ROW]
[ROW][C]0.53[/C][C]96.0416172154666[/C][C]0.724900673263199[/C][/ROW]
[ROW][C]0.54[/C][C]96.1807177571455[/C][C]0.788521520031389[/C][/ROW]
[ROW][C]0.55[/C][C]96.3314362072291[/C][C]0.854441190920106[/C][/ROW]
[ROW][C]0.56[/C][C]96.4941573682807[/C][C]0.919591243180921[/C][/ROW]
[ROW][C]0.57[/C][C]96.6687406260974[/C][C]0.981462745732412[/C][/ROW]
[ROW][C]0.58[/C][C]96.8545813698106[/C][C]1.03755221680439[/C][/ROW]
[ROW][C]0.59[/C][C]97.0506846484114[/C][C]1.08640416438668[/C][/ROW]
[ROW][C]0.6[/C][C]97.2557465577532[/C][C]1.12647251969088[/C][/ROW]
[ROW][C]0.61[/C][C]97.4682377771199[/C][C]1.15715721325365[/C][/ROW]
[ROW][C]0.62[/C][C]97.68648396201[/C][C]1.17776543759174[/C][/ROW]
[ROW][C]0.63[/C][C]97.9087389066331[/C][C]1.18850230914238[/C][/ROW]
[ROW][C]0.64[/C][C]98.1332477961936[/C][C]1.18938779200491[/C][/ROW]
[ROW][C]0.65[/C][C]98.3582988747482[/C][C]1.18091775512308[/C][/ROW]
[ROW][C]0.66[/C][C]98.5822622883193[/C][C]1.16376217679722[/C][/ROW]
[ROW][C]0.67[/C][C]98.8036150516831[/C][C]1.1387194792923[/C][/ROW]
[ROW][C]0.68[/C][C]99.0209516356353[/C][C]1.10664494470502[/C][/ROW]
[ROW][C]0.69[/C][C]99.2329810574428[/C][C]1.06843637027494[/C][/ROW]
[ROW][C]0.7[/C][C]99.4385135543996[/C][C]1.02480444336155[/C][/ROW]
[ROW][C]0.71[/C][C]99.6364422748075[/C][C]0.976274701234541[/C][/ROW]
[ROW][C]0.72[/C][C]99.8257268944434[/C][C]0.923235213231762[/C][/ROW]
[ROW][C]0.73[/C][C]100.005385769677[/C][C]0.866115370361[/C][/ROW]
[ROW][C]0.74[/C][C]100.174500982668[/C][C]0.805159893898164[/C][/ROW]
[ROW][C]0.75[/C][C]100.332237179704[/C][C]0.741083409541422[/C][/ROW]
[ROW][C]0.76[/C][C]100.477871887659[/C][C]0.674509453870311[/C][/ROW]
[ROW][C]0.77[/C][C]100.610833401499[/C][C]0.606375618335488[/C][/ROW]
[ROW][C]0.78[/C][C]100.730742871877[/C][C]0.537897157823061[/C][/ROW]
[ROW][C]0.79[/C][C]100.837459071972[/C][C]0.470255335648479[/C][/ROW]
[ROW][C]0.8[/C][C]100.931125669011[/C][C]0.404789532043406[/C][/ROW]
[ROW][C]0.81[/C][C]101.012219888504[/C][C]0.342864147501204[/C][/ROW]
[ROW][C]0.82[/C][C]101.081597778095[/C][C]0.286002692234752[/C][/ROW]
[ROW][C]0.83[/C][C]101.140526480019[/C][C]0.235558620745153[/C][/ROW]
[ROW][C]0.84[/C][C]101.19069131678[/C][C]0.193140161026106[/C][/ROW]
[ROW][C]0.85[/C][C]101.234168331536[/C][C]0.16020758674353[/C][/ROW]
[ROW][C]0.86[/C][C]101.273361837236[/C][C]0.137906897898875[/C][/ROW]
[ROW][C]0.87[/C][C]101.310917460499[/C][C]0.126898666214938[/C][/ROW]
[ROW][C]0.88[/C][C]101.349625648331[/C][C]0.126826121745094[/C][/ROW]
[ROW][C]0.89[/C][C]101.392320374522[/C][C]0.136443545984976[/C][/ROW]
[ROW][C]0.9[/C][C]101.441754305937[/C][C]0.153886960040078[/C][/ROW]
[ROW][C]0.91[/C][C]101.500416593685[/C][C]0.176953277949208[/C][/ROW]
[ROW][C]0.92[/C][C]101.570294136829[/C][C]0.202540824915567[/C][/ROW]
[ROW][C]0.93[/C][C]101.652695041246[/C][C]0.22643169428092[/C][/ROW]
[ROW][C]0.94[/C][C]101.748417252244[/C][C]0.244085763472811[/C][/ROW]
[ROW][C]0.95[/C][C]101.858566688626[/C][C]0.253588062409356[/C][/ROW]
[ROW][C]0.96[/C][C]101.985788462177[/C][C]0.258328884878696[/C][/ROW]
[ROW][C]0.97[/C][C]102.133980664893[/C][C]0.266266650717248[/C][/ROW]
[ROW][C]0.98[/C][C]102.301978453216[/C][C]0.284860502354959[/C][/ROW]
[ROW][C]0.99[/C][C]102.468105605402[/C][C]0.315830338810219[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0162.5950115944190.595908323955183
0.0263.04284981576231.06954995663982
0.0363.66905514859661.42128974139867
0.0464.39775551820511.65784463509847
0.0565.17487987315681.85878892200207
0.0665.9765833917122.06976100511493
0.0766.79877042963242.29727874410347
0.0867.64423761688882.53168186488007
0.0968.51462610013872.75720977078329
0.169.40727170877222.95559785681247
0.1170.31502576731353.10953024385918
0.1271.2276441602333.20878361799618
0.1372.13399391432033.25427513055169
0.1473.02447699554913.25887427605096
0.1573.89304795174113.2440540146717
0.1674.73833653189973.23403006409901
0.1775.56370435461993.24999271386757
0.1876.37640157070043.30672983528957
0.1977.18618661051793.41135480077991
0.278.00378260349953.5642773134724
0.2178.83942776408443.76029855097286
0.2279.70163554649593.9892814109108
0.2380.59619114966614.23657564287258
0.2481.52539559652124.48294442837155
0.2582.48759946268554.70684901310687
0.2683.47709765398194.88641267571199
0.2784.48444740404195.00242399995761
0.2885.49721511273765.04100497789588
0.2986.50107309143044.99536436750752
0.387.4810887378584.86634284897344
0.3188.42300720126794.66187791165828
0.3289.31433901828284.39468649749666
0.3390.14512082108714.08037863259639
0.3490.90829873485643.73535640550694
0.3591.59976374644453.37451782150552
0.3692.21812439001733.01096851380648
0.3792.76432437953112.65504274006737
0.3893.24120375813992.31491055386783
0.3993.6530731121031.99672869401731
0.494.00533579455621.70539114427304
0.4194.30416479101861.4443063657189
0.4294.55622497180161.21621715574439
0.4394.7684280557061.02263987368133
0.4494.94771243746960.864391191551727
0.4595.10084742759770.741128792490813
0.4695.23426676269050.651734495804956
0.4795.35393723343820.594421324959347
0.4895.46526525330740.566256080989309
0.4995.57303916403880.563511811027885
0.595.68140052239430.582221578871636
0.5195.79383538898970.618020359694644
0.5295.91317736926730.666760934634431
0.5396.04161721546660.724900673263199
0.5496.18071775714550.788521520031389
0.5596.33143620722910.854441190920106
0.5696.49415736828070.919591243180921
0.5796.66874062609740.981462745732412
0.5896.85458136981061.03755221680439
0.5997.05068464841141.08640416438668
0.697.25574655775321.12647251969088
0.6197.46823777711991.15715721325365
0.6297.686483962011.17776543759174
0.6397.90873890663311.18850230914238
0.6498.13324779619361.18938779200491
0.6598.35829887474821.18091775512308
0.6698.58226228831931.16376217679722
0.6798.80361505168311.1387194792923
0.6899.02095163563531.10664494470502
0.6999.23298105744281.06843637027494
0.799.43851355439961.02480444336155
0.7199.63644227480750.976274701234541
0.7299.82572689444340.923235213231762
0.73100.0053857696770.866115370361
0.74100.1745009826680.805159893898164
0.75100.3322371797040.741083409541422
0.76100.4778718876590.674509453870311
0.77100.6108334014990.606375618335488
0.78100.7307428718770.537897157823061
0.79100.8374590719720.470255335648479
0.8100.9311256690110.404789532043406
0.81101.0122198885040.342864147501204
0.82101.0815977780950.286002692234752
0.83101.1405264800190.235558620745153
0.84101.190691316780.193140161026106
0.85101.2341683315360.16020758674353
0.86101.2733618372360.137906897898875
0.87101.3109174604990.126898666214938
0.88101.3496256483310.126826121745094
0.89101.3923203745220.136443545984976
0.9101.4417543059370.153886960040078
0.91101.5004165936850.176953277949208
0.92101.5702941368290.202540824915567
0.93101.6526950412460.22643169428092
0.94101.7484172522440.244085763472811
0.95101.8585666886260.253588062409356
0.96101.9857884621770.258328884878696
0.97102.1339806648930.266266650717248
0.98102.3019784532160.284860502354959
0.99102.4681056054020.315830338810219


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')