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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 computationTue, 08 Jan 2013 12:56:12 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Jan/08/t1357667806526cww0l8c91oos.htm/, Retrieved Thu, 02 May 2024 16:16:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205072, Retrieved Thu, 02 May 2024 16:16:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact127

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] [Opgave 4 oef 1 st...] [2013-01-08 17:32:56] [1d73611e45a05aa2060be114fa39c596]
- R  D  [Harrell-Davis Quantiles] [Opgave 4 oef 2 st...] [2013-01-08 17:53:10] [1d73611e45a05aa2060be114fa39c596]
-   PD      [Harrell-Davis Quantiles] [Opgave 4 oef 2 st...] [2013-01-08 17:56:12] [40325e7317026cf0d36242170f65df44] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.81
101.72
101.78
102.04
102.36
102.56
102.69
102.77
102.85
102.9
102.72
102.79
102.9
102.91
103.29
103.35
102.97
103.05
103.18
103.21
103.32
103.31
103.6
103.68
103.77
103.82
103.86
103.9
103.63
103.65
103.7
103.77
103.94
104.03
104.03
104.29
104.35
104.67
104.73
104.86
104.05
104.15
104.27
104.33
104.41
104.4
104.41
104.6
104.61
104.65
104.55
104.51
104.74
104.89
104.91
104.93
104.95
104.97
105.16
105.29
105.35
105.36
105.45
105.3
105.73
105.86
105.85
105.95
105.97
106.15
105.37
105.39

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=205072&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=205072&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205072&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
0.01101.7465238903790.0736204830375134
0.02101.8002547929380.127829691951617
0.03101.8806091921460.204888462110595
0.04101.9844928277430.273910518501064
0.05102.1043807137440.314804830539651
0.06102.2295605059810.322699202094042
0.07102.3495903097240.303740715986891
0.08102.4570742771250.26893976302995
0.09102.5485584922360.2289587979184
0.1102.6239401149660.191698599661931
0.11102.6852536786430.161559601579437
0.12102.7354932747860.140274315187825
0.13102.7777731502780.127372448687879
0.14102.8148653507870.121863697254328
0.15102.8490238234680.122245812724683
0.16102.8819745836210.127209395043854
0.17102.9149746186850.135486443359579
0.18102.9488825390040.145941077578991
0.19102.98422006330.157359040810271
0.2103.0212255771540.16865188472695
0.21103.0599082486140.178961647021498
0.22103.1001079097430.187878707809779
0.23103.1415585291210.19522109183643
0.24103.1839472202320.200911724725298
0.25103.2269594195550.205206102782949
0.26103.2703042551530.208349305992343
0.27103.3137201701350.210603623234932
0.28103.3569667178980.211530616490966
0.29103.3998117801080.211474089154572
0.3103.4420232825870.209840900428621
0.31103.4833712745080.206693135912221
0.32103.5236414934130.202093081750542
0.33103.5626570630750.196311786479658
0.34103.6003021768520.189945097170264
0.35103.6365411219830.183261949658809
0.36103.6714275667120.17721291977585
0.37103.705101826610.171995429788819
0.38103.7377768066420.16826412367975
0.39103.7697156071140.166115094473245
0.4103.8012049129050.165557446733506
0.41103.8325282367290.166568042246177
0.42103.8639421864110.168885445201225
0.43103.8956576601520.172107925271527
0.44103.9278266991010.175858959542729
0.45103.9605349346920.179838455158792
0.46103.9937992351810.183483614767855
0.47104.0275701685080.186667176927566
0.48104.0617390354250.18892260359376
0.49104.096149258160.190174570810546
0.5104.1306116871970.190073198377555
0.51104.1649228975540.188549245906388
0.52104.198884910530.185845547009024
0.53104.2323242167890.181955151056577
0.54104.2651077292880.177518125804995
0.55104.2971535288620.172520493964484
0.56104.3284350130060.167645376913908
0.57104.3589781886690.162985280310778
0.58104.3888530964080.158830642639116
0.59104.418161389830.15536866314556
0.6104.4470226362630.152794385657123
0.61104.4755618045990.150662802237826
0.62104.5038997117770.149151575075295
0.63104.5321471495610.14809275162266
0.64104.5604023705860.147482778645198
0.65104.5887509437960.147186489078106
0.66104.6172669305930.147116434863862
0.67104.6460148828870.147389862797151
0.68104.67505304590.147749803025101
0.69104.7044388708140.148272428806732
0.7104.7342379583680.148829094931437
0.71104.7645364889470.149733931417339
0.72104.7954550704090.150890681310397
0.73104.8271593123450.152719844881333
0.74104.8598603761080.155501249243523
0.75104.8937985525210.15943945445072
0.76104.9292056514430.164594522826676
0.77104.9662479343760.170542524060568
0.78105.004959558340.176643471604558
0.79105.0451848188450.181542305809479
0.8105.0865528196890.184227322529137
0.81105.1285075177590.183475690580979
0.82105.170407423950.178928233853105
0.83105.2116925107870.170816849865874
0.84105.25209321760.160656577503166
0.85105.2918321163580.150706331177063
0.86105.3317491495650.144137034744248
0.87105.3732750665620.14409727333341
0.88105.4181955581160.152173342466222
0.89105.4682004289440.167037751411916
0.9105.5242984138950.184556092598273
0.91105.5862780746010.198732021462943
0.92105.6524615239930.203651310718191
0.93105.719976889690.195609152141794
0.94105.7856539509190.174834679502373
0.95105.8474687081230.145776447490654
0.96105.9061883085920.116692272744478
0.97105.966105903250.0995175535905129
0.98106.0321573217540.108671507273536
0.99106.1006455677930.143448363859164

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 101.746523890379 & 0.0736204830375134 \tabularnewline
0.02 & 101.800254792938 & 0.127829691951617 \tabularnewline
0.03 & 101.880609192146 & 0.204888462110595 \tabularnewline
0.04 & 101.984492827743 & 0.273910518501064 \tabularnewline
0.05 & 102.104380713744 & 0.314804830539651 \tabularnewline
0.06 & 102.229560505981 & 0.322699202094042 \tabularnewline
0.07 & 102.349590309724 & 0.303740715986891 \tabularnewline
0.08 & 102.457074277125 & 0.26893976302995 \tabularnewline
0.09 & 102.548558492236 & 0.2289587979184 \tabularnewline
0.1 & 102.623940114966 & 0.191698599661931 \tabularnewline
0.11 & 102.685253678643 & 0.161559601579437 \tabularnewline
0.12 & 102.735493274786 & 0.140274315187825 \tabularnewline
0.13 & 102.777773150278 & 0.127372448687879 \tabularnewline
0.14 & 102.814865350787 & 0.121863697254328 \tabularnewline
0.15 & 102.849023823468 & 0.122245812724683 \tabularnewline
0.16 & 102.881974583621 & 0.127209395043854 \tabularnewline
0.17 & 102.914974618685 & 0.135486443359579 \tabularnewline
0.18 & 102.948882539004 & 0.145941077578991 \tabularnewline
0.19 & 102.9842200633 & 0.157359040810271 \tabularnewline
0.2 & 103.021225577154 & 0.16865188472695 \tabularnewline
0.21 & 103.059908248614 & 0.178961647021498 \tabularnewline
0.22 & 103.100107909743 & 0.187878707809779 \tabularnewline
0.23 & 103.141558529121 & 0.19522109183643 \tabularnewline
0.24 & 103.183947220232 & 0.200911724725298 \tabularnewline
0.25 & 103.226959419555 & 0.205206102782949 \tabularnewline
0.26 & 103.270304255153 & 0.208349305992343 \tabularnewline
0.27 & 103.313720170135 & 0.210603623234932 \tabularnewline
0.28 & 103.356966717898 & 0.211530616490966 \tabularnewline
0.29 & 103.399811780108 & 0.211474089154572 \tabularnewline
0.3 & 103.442023282587 & 0.209840900428621 \tabularnewline
0.31 & 103.483371274508 & 0.206693135912221 \tabularnewline
0.32 & 103.523641493413 & 0.202093081750542 \tabularnewline
0.33 & 103.562657063075 & 0.196311786479658 \tabularnewline
0.34 & 103.600302176852 & 0.189945097170264 \tabularnewline
0.35 & 103.636541121983 & 0.183261949658809 \tabularnewline
0.36 & 103.671427566712 & 0.17721291977585 \tabularnewline
0.37 & 103.70510182661 & 0.171995429788819 \tabularnewline
0.38 & 103.737776806642 & 0.16826412367975 \tabularnewline
0.39 & 103.769715607114 & 0.166115094473245 \tabularnewline
0.4 & 103.801204912905 & 0.165557446733506 \tabularnewline
0.41 & 103.832528236729 & 0.166568042246177 \tabularnewline
0.42 & 103.863942186411 & 0.168885445201225 \tabularnewline
0.43 & 103.895657660152 & 0.172107925271527 \tabularnewline
0.44 & 103.927826699101 & 0.175858959542729 \tabularnewline
0.45 & 103.960534934692 & 0.179838455158792 \tabularnewline
0.46 & 103.993799235181 & 0.183483614767855 \tabularnewline
0.47 & 104.027570168508 & 0.186667176927566 \tabularnewline
0.48 & 104.061739035425 & 0.18892260359376 \tabularnewline
0.49 & 104.09614925816 & 0.190174570810546 \tabularnewline
0.5 & 104.130611687197 & 0.190073198377555 \tabularnewline
0.51 & 104.164922897554 & 0.188549245906388 \tabularnewline
0.52 & 104.19888491053 & 0.185845547009024 \tabularnewline
0.53 & 104.232324216789 & 0.181955151056577 \tabularnewline
0.54 & 104.265107729288 & 0.177518125804995 \tabularnewline
0.55 & 104.297153528862 & 0.172520493964484 \tabularnewline
0.56 & 104.328435013006 & 0.167645376913908 \tabularnewline
0.57 & 104.358978188669 & 0.162985280310778 \tabularnewline
0.58 & 104.388853096408 & 0.158830642639116 \tabularnewline
0.59 & 104.41816138983 & 0.15536866314556 \tabularnewline
0.6 & 104.447022636263 & 0.152794385657123 \tabularnewline
0.61 & 104.475561804599 & 0.150662802237826 \tabularnewline
0.62 & 104.503899711777 & 0.149151575075295 \tabularnewline
0.63 & 104.532147149561 & 0.14809275162266 \tabularnewline
0.64 & 104.560402370586 & 0.147482778645198 \tabularnewline
0.65 & 104.588750943796 & 0.147186489078106 \tabularnewline
0.66 & 104.617266930593 & 0.147116434863862 \tabularnewline
0.67 & 104.646014882887 & 0.147389862797151 \tabularnewline
0.68 & 104.6750530459 & 0.147749803025101 \tabularnewline
0.69 & 104.704438870814 & 0.148272428806732 \tabularnewline
0.7 & 104.734237958368 & 0.148829094931437 \tabularnewline
0.71 & 104.764536488947 & 0.149733931417339 \tabularnewline
0.72 & 104.795455070409 & 0.150890681310397 \tabularnewline
0.73 & 104.827159312345 & 0.152719844881333 \tabularnewline
0.74 & 104.859860376108 & 0.155501249243523 \tabularnewline
0.75 & 104.893798552521 & 0.15943945445072 \tabularnewline
0.76 & 104.929205651443 & 0.164594522826676 \tabularnewline
0.77 & 104.966247934376 & 0.170542524060568 \tabularnewline
0.78 & 105.00495955834 & 0.176643471604558 \tabularnewline
0.79 & 105.045184818845 & 0.181542305809479 \tabularnewline
0.8 & 105.086552819689 & 0.184227322529137 \tabularnewline
0.81 & 105.128507517759 & 0.183475690580979 \tabularnewline
0.82 & 105.17040742395 & 0.178928233853105 \tabularnewline
0.83 & 105.211692510787 & 0.170816849865874 \tabularnewline
0.84 & 105.2520932176 & 0.160656577503166 \tabularnewline
0.85 & 105.291832116358 & 0.150706331177063 \tabularnewline
0.86 & 105.331749149565 & 0.144137034744248 \tabularnewline
0.87 & 105.373275066562 & 0.14409727333341 \tabularnewline
0.88 & 105.418195558116 & 0.152173342466222 \tabularnewline
0.89 & 105.468200428944 & 0.167037751411916 \tabularnewline
0.9 & 105.524298413895 & 0.184556092598273 \tabularnewline
0.91 & 105.586278074601 & 0.198732021462943 \tabularnewline
0.92 & 105.652461523993 & 0.203651310718191 \tabularnewline
0.93 & 105.71997688969 & 0.195609152141794 \tabularnewline
0.94 & 105.785653950919 & 0.174834679502373 \tabularnewline
0.95 & 105.847468708123 & 0.145776447490654 \tabularnewline
0.96 & 105.906188308592 & 0.116692272744478 \tabularnewline
0.97 & 105.96610590325 & 0.0995175535905129 \tabularnewline
0.98 & 106.032157321754 & 0.108671507273536 \tabularnewline
0.99 & 106.100645567793 & 0.143448363859164 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205072&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]101.746523890379[/C][C]0.0736204830375134[/C][/ROW]
[ROW][C]0.02[/C][C]101.800254792938[/C][C]0.127829691951617[/C][/ROW]
[ROW][C]0.03[/C][C]101.880609192146[/C][C]0.204888462110595[/C][/ROW]
[ROW][C]0.04[/C][C]101.984492827743[/C][C]0.273910518501064[/C][/ROW]
[ROW][C]0.05[/C][C]102.104380713744[/C][C]0.314804830539651[/C][/ROW]
[ROW][C]0.06[/C][C]102.229560505981[/C][C]0.322699202094042[/C][/ROW]
[ROW][C]0.07[/C][C]102.349590309724[/C][C]0.303740715986891[/C][/ROW]
[ROW][C]0.08[/C][C]102.457074277125[/C][C]0.26893976302995[/C][/ROW]
[ROW][C]0.09[/C][C]102.548558492236[/C][C]0.2289587979184[/C][/ROW]
[ROW][C]0.1[/C][C]102.623940114966[/C][C]0.191698599661931[/C][/ROW]
[ROW][C]0.11[/C][C]102.685253678643[/C][C]0.161559601579437[/C][/ROW]
[ROW][C]0.12[/C][C]102.735493274786[/C][C]0.140274315187825[/C][/ROW]
[ROW][C]0.13[/C][C]102.777773150278[/C][C]0.127372448687879[/C][/ROW]
[ROW][C]0.14[/C][C]102.814865350787[/C][C]0.121863697254328[/C][/ROW]
[ROW][C]0.15[/C][C]102.849023823468[/C][C]0.122245812724683[/C][/ROW]
[ROW][C]0.16[/C][C]102.881974583621[/C][C]0.127209395043854[/C][/ROW]
[ROW][C]0.17[/C][C]102.914974618685[/C][C]0.135486443359579[/C][/ROW]
[ROW][C]0.18[/C][C]102.948882539004[/C][C]0.145941077578991[/C][/ROW]
[ROW][C]0.19[/C][C]102.9842200633[/C][C]0.157359040810271[/C][/ROW]
[ROW][C]0.2[/C][C]103.021225577154[/C][C]0.16865188472695[/C][/ROW]
[ROW][C]0.21[/C][C]103.059908248614[/C][C]0.178961647021498[/C][/ROW]
[ROW][C]0.22[/C][C]103.100107909743[/C][C]0.187878707809779[/C][/ROW]
[ROW][C]0.23[/C][C]103.141558529121[/C][C]0.19522109183643[/C][/ROW]
[ROW][C]0.24[/C][C]103.183947220232[/C][C]0.200911724725298[/C][/ROW]
[ROW][C]0.25[/C][C]103.226959419555[/C][C]0.205206102782949[/C][/ROW]
[ROW][C]0.26[/C][C]103.270304255153[/C][C]0.208349305992343[/C][/ROW]
[ROW][C]0.27[/C][C]103.313720170135[/C][C]0.210603623234932[/C][/ROW]
[ROW][C]0.28[/C][C]103.356966717898[/C][C]0.211530616490966[/C][/ROW]
[ROW][C]0.29[/C][C]103.399811780108[/C][C]0.211474089154572[/C][/ROW]
[ROW][C]0.3[/C][C]103.442023282587[/C][C]0.209840900428621[/C][/ROW]
[ROW][C]0.31[/C][C]103.483371274508[/C][C]0.206693135912221[/C][/ROW]
[ROW][C]0.32[/C][C]103.523641493413[/C][C]0.202093081750542[/C][/ROW]
[ROW][C]0.33[/C][C]103.562657063075[/C][C]0.196311786479658[/C][/ROW]
[ROW][C]0.34[/C][C]103.600302176852[/C][C]0.189945097170264[/C][/ROW]
[ROW][C]0.35[/C][C]103.636541121983[/C][C]0.183261949658809[/C][/ROW]
[ROW][C]0.36[/C][C]103.671427566712[/C][C]0.17721291977585[/C][/ROW]
[ROW][C]0.37[/C][C]103.70510182661[/C][C]0.171995429788819[/C][/ROW]
[ROW][C]0.38[/C][C]103.737776806642[/C][C]0.16826412367975[/C][/ROW]
[ROW][C]0.39[/C][C]103.769715607114[/C][C]0.166115094473245[/C][/ROW]
[ROW][C]0.4[/C][C]103.801204912905[/C][C]0.165557446733506[/C][/ROW]
[ROW][C]0.41[/C][C]103.832528236729[/C][C]0.166568042246177[/C][/ROW]
[ROW][C]0.42[/C][C]103.863942186411[/C][C]0.168885445201225[/C][/ROW]
[ROW][C]0.43[/C][C]103.895657660152[/C][C]0.172107925271527[/C][/ROW]
[ROW][C]0.44[/C][C]103.927826699101[/C][C]0.175858959542729[/C][/ROW]
[ROW][C]0.45[/C][C]103.960534934692[/C][C]0.179838455158792[/C][/ROW]
[ROW][C]0.46[/C][C]103.993799235181[/C][C]0.183483614767855[/C][/ROW]
[ROW][C]0.47[/C][C]104.027570168508[/C][C]0.186667176927566[/C][/ROW]
[ROW][C]0.48[/C][C]104.061739035425[/C][C]0.18892260359376[/C][/ROW]
[ROW][C]0.49[/C][C]104.09614925816[/C][C]0.190174570810546[/C][/ROW]
[ROW][C]0.5[/C][C]104.130611687197[/C][C]0.190073198377555[/C][/ROW]
[ROW][C]0.51[/C][C]104.164922897554[/C][C]0.188549245906388[/C][/ROW]
[ROW][C]0.52[/C][C]104.19888491053[/C][C]0.185845547009024[/C][/ROW]
[ROW][C]0.53[/C][C]104.232324216789[/C][C]0.181955151056577[/C][/ROW]
[ROW][C]0.54[/C][C]104.265107729288[/C][C]0.177518125804995[/C][/ROW]
[ROW][C]0.55[/C][C]104.297153528862[/C][C]0.172520493964484[/C][/ROW]
[ROW][C]0.56[/C][C]104.328435013006[/C][C]0.167645376913908[/C][/ROW]
[ROW][C]0.57[/C][C]104.358978188669[/C][C]0.162985280310778[/C][/ROW]
[ROW][C]0.58[/C][C]104.388853096408[/C][C]0.158830642639116[/C][/ROW]
[ROW][C]0.59[/C][C]104.41816138983[/C][C]0.15536866314556[/C][/ROW]
[ROW][C]0.6[/C][C]104.447022636263[/C][C]0.152794385657123[/C][/ROW]
[ROW][C]0.61[/C][C]104.475561804599[/C][C]0.150662802237826[/C][/ROW]
[ROW][C]0.62[/C][C]104.503899711777[/C][C]0.149151575075295[/C][/ROW]
[ROW][C]0.63[/C][C]104.532147149561[/C][C]0.14809275162266[/C][/ROW]
[ROW][C]0.64[/C][C]104.560402370586[/C][C]0.147482778645198[/C][/ROW]
[ROW][C]0.65[/C][C]104.588750943796[/C][C]0.147186489078106[/C][/ROW]
[ROW][C]0.66[/C][C]104.617266930593[/C][C]0.147116434863862[/C][/ROW]
[ROW][C]0.67[/C][C]104.646014882887[/C][C]0.147389862797151[/C][/ROW]
[ROW][C]0.68[/C][C]104.6750530459[/C][C]0.147749803025101[/C][/ROW]
[ROW][C]0.69[/C][C]104.704438870814[/C][C]0.148272428806732[/C][/ROW]
[ROW][C]0.7[/C][C]104.734237958368[/C][C]0.148829094931437[/C][/ROW]
[ROW][C]0.71[/C][C]104.764536488947[/C][C]0.149733931417339[/C][/ROW]
[ROW][C]0.72[/C][C]104.795455070409[/C][C]0.150890681310397[/C][/ROW]
[ROW][C]0.73[/C][C]104.827159312345[/C][C]0.152719844881333[/C][/ROW]
[ROW][C]0.74[/C][C]104.859860376108[/C][C]0.155501249243523[/C][/ROW]
[ROW][C]0.75[/C][C]104.893798552521[/C][C]0.15943945445072[/C][/ROW]
[ROW][C]0.76[/C][C]104.929205651443[/C][C]0.164594522826676[/C][/ROW]
[ROW][C]0.77[/C][C]104.966247934376[/C][C]0.170542524060568[/C][/ROW]
[ROW][C]0.78[/C][C]105.00495955834[/C][C]0.176643471604558[/C][/ROW]
[ROW][C]0.79[/C][C]105.045184818845[/C][C]0.181542305809479[/C][/ROW]
[ROW][C]0.8[/C][C]105.086552819689[/C][C]0.184227322529137[/C][/ROW]
[ROW][C]0.81[/C][C]105.128507517759[/C][C]0.183475690580979[/C][/ROW]
[ROW][C]0.82[/C][C]105.17040742395[/C][C]0.178928233853105[/C][/ROW]
[ROW][C]0.83[/C][C]105.211692510787[/C][C]0.170816849865874[/C][/ROW]
[ROW][C]0.84[/C][C]105.2520932176[/C][C]0.160656577503166[/C][/ROW]
[ROW][C]0.85[/C][C]105.291832116358[/C][C]0.150706331177063[/C][/ROW]
[ROW][C]0.86[/C][C]105.331749149565[/C][C]0.144137034744248[/C][/ROW]
[ROW][C]0.87[/C][C]105.373275066562[/C][C]0.14409727333341[/C][/ROW]
[ROW][C]0.88[/C][C]105.418195558116[/C][C]0.152173342466222[/C][/ROW]
[ROW][C]0.89[/C][C]105.468200428944[/C][C]0.167037751411916[/C][/ROW]
[ROW][C]0.9[/C][C]105.524298413895[/C][C]0.184556092598273[/C][/ROW]
[ROW][C]0.91[/C][C]105.586278074601[/C][C]0.198732021462943[/C][/ROW]
[ROW][C]0.92[/C][C]105.652461523993[/C][C]0.203651310718191[/C][/ROW]
[ROW][C]0.93[/C][C]105.71997688969[/C][C]0.195609152141794[/C][/ROW]
[ROW][C]0.94[/C][C]105.785653950919[/C][C]0.174834679502373[/C][/ROW]
[ROW][C]0.95[/C][C]105.847468708123[/C][C]0.145776447490654[/C][/ROW]
[ROW][C]0.96[/C][C]105.906188308592[/C][C]0.116692272744478[/C][/ROW]
[ROW][C]0.97[/C][C]105.96610590325[/C][C]0.0995175535905129[/C][/ROW]
[ROW][C]0.98[/C][C]106.032157321754[/C][C]0.108671507273536[/C][/ROW]
[ROW][C]0.99[/C][C]106.100645567793[/C][C]0.143448363859164[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205072&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205072&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
0.01101.7465238903790.0736204830375134
0.02101.8002547929380.127829691951617
0.03101.8806091921460.204888462110595
0.04101.9844928277430.273910518501064
0.05102.1043807137440.314804830539651
0.06102.2295605059810.322699202094042
0.07102.3495903097240.303740715986891
0.08102.4570742771250.26893976302995
0.09102.5485584922360.2289587979184
0.1102.6239401149660.191698599661931
0.11102.6852536786430.161559601579437
0.12102.7354932747860.140274315187825
0.13102.7777731502780.127372448687879
0.14102.8148653507870.121863697254328
0.15102.8490238234680.122245812724683
0.16102.8819745836210.127209395043854
0.17102.9149746186850.135486443359579
0.18102.9488825390040.145941077578991
0.19102.98422006330.157359040810271
0.2103.0212255771540.16865188472695
0.21103.0599082486140.178961647021498
0.22103.1001079097430.187878707809779
0.23103.1415585291210.19522109183643
0.24103.1839472202320.200911724725298
0.25103.2269594195550.205206102782949
0.26103.2703042551530.208349305992343
0.27103.3137201701350.210603623234932
0.28103.3569667178980.211530616490966
0.29103.3998117801080.211474089154572
0.3103.4420232825870.209840900428621
0.31103.4833712745080.206693135912221
0.32103.5236414934130.202093081750542
0.33103.5626570630750.196311786479658
0.34103.6003021768520.189945097170264
0.35103.6365411219830.183261949658809
0.36103.6714275667120.17721291977585
0.37103.705101826610.171995429788819
0.38103.7377768066420.16826412367975
0.39103.7697156071140.166115094473245
0.4103.8012049129050.165557446733506
0.41103.8325282367290.166568042246177
0.42103.8639421864110.168885445201225
0.43103.8956576601520.172107925271527
0.44103.9278266991010.175858959542729
0.45103.9605349346920.179838455158792
0.46103.9937992351810.183483614767855
0.47104.0275701685080.186667176927566
0.48104.0617390354250.18892260359376
0.49104.096149258160.190174570810546
0.5104.1306116871970.190073198377555
0.51104.1649228975540.188549245906388
0.52104.198884910530.185845547009024
0.53104.2323242167890.181955151056577
0.54104.2651077292880.177518125804995
0.55104.2971535288620.172520493964484
0.56104.3284350130060.167645376913908
0.57104.3589781886690.162985280310778
0.58104.3888530964080.158830642639116
0.59104.418161389830.15536866314556
0.6104.4470226362630.152794385657123
0.61104.4755618045990.150662802237826
0.62104.5038997117770.149151575075295
0.63104.5321471495610.14809275162266
0.64104.5604023705860.147482778645198
0.65104.5887509437960.147186489078106
0.66104.6172669305930.147116434863862
0.67104.6460148828870.147389862797151
0.68104.67505304590.147749803025101
0.69104.7044388708140.148272428806732
0.7104.7342379583680.148829094931437
0.71104.7645364889470.149733931417339
0.72104.7954550704090.150890681310397
0.73104.8271593123450.152719844881333
0.74104.8598603761080.155501249243523
0.75104.8937985525210.15943945445072
0.76104.9292056514430.164594522826676
0.77104.9662479343760.170542524060568
0.78105.004959558340.176643471604558
0.79105.0451848188450.181542305809479
0.8105.0865528196890.184227322529137
0.81105.1285075177590.183475690580979
0.82105.170407423950.178928233853105
0.83105.2116925107870.170816849865874
0.84105.25209321760.160656577503166
0.85105.2918321163580.150706331177063
0.86105.3317491495650.144137034744248
0.87105.3732750665620.14409727333341
0.88105.4181955581160.152173342466222
0.89105.4682004289440.167037751411916
0.9105.5242984138950.184556092598273
0.91105.5862780746010.198732021462943
0.92105.6524615239930.203651310718191
0.93105.719976889690.195609152141794
0.94105.7856539509190.174834679502373
0.95105.8474687081230.145776447490654
0.96105.9061883085920.116692272744478
0.97105.966105903250.0995175535905129
0.98106.0321573217540.108671507273536
0.99106.1006455677930.143448363859164


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')