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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, 09 Oct 2012 11:45:31 -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/09/t13497975490pa3hnq72s8u5z8.htm/, Retrieved Wed, 01 May 2024 15:44:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174645, Retrieved Wed, 01 May 2024 15:44:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact64

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] [] [2012-10-09 15:45:31] [de59db95ac8fc769a5d40184c39d6048] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
227,81
227,81
227,01
227,26
227,1
227,59
227,59
227,7
227,75
226,33
225,95
226,33
226,33
226,22
224,84
221,88
222,37
221,8
221,8
221,8
221,9
220,2
219,95
220,05
220,05
220,05
220,62
221,53
221,61
221,5
221,5
221,87
222,27
220,86
221,49
221,67
221,67
221,72
221,67
220,29
220,75
219,59
219,59
219,59
219,82
221,59
220,9
221,01
221,01
219,69
221
219,82
218,04
217,97
217,97
217,53
217
217,18
217,68
217,71
217,71
218,5
218,8
218,94
220
219,89
219,89
220,08
220,16
221
222,16
221,5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174645&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]3 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=174645&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174645&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01217.0766713077360.210773794296658
0.02217.2039745194930.249316692875883
0.03217.3455599122150.254902248126052
0.04217.476632364280.232557271609501
0.05217.5889717912470.210059334006579
0.06217.6857917574320.20948872845678
0.07217.775414261040.236151958923294
0.08217.8666616369430.284925090889881
0.09217.966410303480.347166740991348
0.1218.0787684918710.415593278929486
0.11218.2051113237280.482830397497668
0.12218.3444403977630.541239995251934
0.13218.4938594985490.584544964664331
0.14218.6491405333630.608300082505534
0.15218.8053749844710.610835601860503
0.16218.9576533418140.592865723509834
0.17219.1016722797790.558028894085135
0.18219.2341726551850.511080660547514
0.19219.353153971260.457361908875739
0.2219.4578673912410.40220645625678
0.21219.5486360947530.349679574128312
0.22219.626576260690.302430351330433
0.23219.6932931132390.262229750266324
0.24219.7506105189080.22975219315511
0.25219.8003685297310.204406432687275
0.26219.8442991918480.186003683172659
0.27219.8839723068450.173633207651489
0.28219.9207918752720.166879515582873
0.29219.956020308930.165865302835371
0.3219.9908093521460.169646152466237
0.31220.026221817610.179012773768744
0.32220.0632348641410.193211111317866
0.33220.1027223122640.212032708836775
0.34220.1454195294880.234039858864429
0.35220.1918790654590.258650015776206
0.36220.242427931070.284089112152803
0.37220.2971377976550.308811905061921
0.38220.3558173378960.331225736275792
0.39220.4180317692510.350295575861458
0.4220.483149198120.364964393462445
0.41220.5504077658010.374400246379002
0.42220.6189931467830.379181139237806
0.43220.6881137221620.37962253142749
0.44220.7570613235170.376471908609401
0.45220.8252487166840.370414825205772
0.46220.8922201948270.362710738519626
0.47220.957637509670.353724312357786
0.48221.0212484588170.343977906051604
0.49221.0828485523160.333293432048099
0.5221.1422466288780.321745794302057
0.51221.1992431183940.308962071128816
0.52221.2536255701510.294477195844244
0.53221.3051812606630.278490175792351
0.54221.3537224505380.261108618254197
0.55221.3991172213540.242729216758725
0.56221.4413183298940.224057343402626
0.57221.4803841079170.205668971348111
0.58221.5164885415510.188400546971365
0.59221.5499214317030.173078677080593
0.6221.5810830955450.160316497954185
0.61221.6104807460220.150370520671104
0.62221.63873509450.14378842544015
0.63221.6666057090230.141389826711927
0.64221.6950421583010.143719078908757
0.65221.7252648247190.152727189497283
0.66221.758874155130.169935060500083
0.67221.7979796395340.198597779124943
0.68221.8453298214640.242167304063343
0.69221.904412791910.304180204891834
0.7221.9794849276120.388380893210642
0.71222.0754779046770.49709928671903
0.72222.1977356124120.631686968707693
0.73222.351549246060.790278692937576
0.74222.5414943744180.967663776042651
0.75222.7706269917931.1543675187296
0.76223.0396576447711.3370182417997
0.77223.3462764856781.49997781093972
0.78223.6848249081151.62670717511716
0.79224.0464802866381.70259798373632
0.8224.4200298736841.71825588621184
0.81224.7931693224831.67189292629825
0.82225.154105540041.56955003622539
0.83225.4931242840751.42502449293555
0.84225.803751019611.25702830483367
0.85226.0832166015761.08526912388821
0.86226.3321239243450.926730485772504
0.87226.5534415109750.791578920192596
0.88226.7511447631840.682145626485107
0.89226.9289141012630.593868675837337
0.9227.0892509725850.518299818381969
0.91227.2332097713840.447915539750695
0.92227.3607266705210.378200826855901
0.93227.4713251296140.308615003841809
0.94227.564848458490.241738458904882
0.95227.6418523950950.181478651024874
0.96227.7034260890690.1307080660663
0.97227.7505446989790.0891038199522483
0.98227.7835571514110.0533672467273941
0.99227.8027199107890.0216754897791147

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 217.076671307736 & 0.210773794296658 \tabularnewline
0.02 & 217.203974519493 & 0.249316692875883 \tabularnewline
0.03 & 217.345559912215 & 0.254902248126052 \tabularnewline
0.04 & 217.47663236428 & 0.232557271609501 \tabularnewline
0.05 & 217.588971791247 & 0.210059334006579 \tabularnewline
0.06 & 217.685791757432 & 0.20948872845678 \tabularnewline
0.07 & 217.77541426104 & 0.236151958923294 \tabularnewline
0.08 & 217.866661636943 & 0.284925090889881 \tabularnewline
0.09 & 217.96641030348 & 0.347166740991348 \tabularnewline
0.1 & 218.078768491871 & 0.415593278929486 \tabularnewline
0.11 & 218.205111323728 & 0.482830397497668 \tabularnewline
0.12 & 218.344440397763 & 0.541239995251934 \tabularnewline
0.13 & 218.493859498549 & 0.584544964664331 \tabularnewline
0.14 & 218.649140533363 & 0.608300082505534 \tabularnewline
0.15 & 218.805374984471 & 0.610835601860503 \tabularnewline
0.16 & 218.957653341814 & 0.592865723509834 \tabularnewline
0.17 & 219.101672279779 & 0.558028894085135 \tabularnewline
0.18 & 219.234172655185 & 0.511080660547514 \tabularnewline
0.19 & 219.35315397126 & 0.457361908875739 \tabularnewline
0.2 & 219.457867391241 & 0.40220645625678 \tabularnewline
0.21 & 219.548636094753 & 0.349679574128312 \tabularnewline
0.22 & 219.62657626069 & 0.302430351330433 \tabularnewline
0.23 & 219.693293113239 & 0.262229750266324 \tabularnewline
0.24 & 219.750610518908 & 0.22975219315511 \tabularnewline
0.25 & 219.800368529731 & 0.204406432687275 \tabularnewline
0.26 & 219.844299191848 & 0.186003683172659 \tabularnewline
0.27 & 219.883972306845 & 0.173633207651489 \tabularnewline
0.28 & 219.920791875272 & 0.166879515582873 \tabularnewline
0.29 & 219.95602030893 & 0.165865302835371 \tabularnewline
0.3 & 219.990809352146 & 0.169646152466237 \tabularnewline
0.31 & 220.02622181761 & 0.179012773768744 \tabularnewline
0.32 & 220.063234864141 & 0.193211111317866 \tabularnewline
0.33 & 220.102722312264 & 0.212032708836775 \tabularnewline
0.34 & 220.145419529488 & 0.234039858864429 \tabularnewline
0.35 & 220.191879065459 & 0.258650015776206 \tabularnewline
0.36 & 220.24242793107 & 0.284089112152803 \tabularnewline
0.37 & 220.297137797655 & 0.308811905061921 \tabularnewline
0.38 & 220.355817337896 & 0.331225736275792 \tabularnewline
0.39 & 220.418031769251 & 0.350295575861458 \tabularnewline
0.4 & 220.48314919812 & 0.364964393462445 \tabularnewline
0.41 & 220.550407765801 & 0.374400246379002 \tabularnewline
0.42 & 220.618993146783 & 0.379181139237806 \tabularnewline
0.43 & 220.688113722162 & 0.37962253142749 \tabularnewline
0.44 & 220.757061323517 & 0.376471908609401 \tabularnewline
0.45 & 220.825248716684 & 0.370414825205772 \tabularnewline
0.46 & 220.892220194827 & 0.362710738519626 \tabularnewline
0.47 & 220.95763750967 & 0.353724312357786 \tabularnewline
0.48 & 221.021248458817 & 0.343977906051604 \tabularnewline
0.49 & 221.082848552316 & 0.333293432048099 \tabularnewline
0.5 & 221.142246628878 & 0.321745794302057 \tabularnewline
0.51 & 221.199243118394 & 0.308962071128816 \tabularnewline
0.52 & 221.253625570151 & 0.294477195844244 \tabularnewline
0.53 & 221.305181260663 & 0.278490175792351 \tabularnewline
0.54 & 221.353722450538 & 0.261108618254197 \tabularnewline
0.55 & 221.399117221354 & 0.242729216758725 \tabularnewline
0.56 & 221.441318329894 & 0.224057343402626 \tabularnewline
0.57 & 221.480384107917 & 0.205668971348111 \tabularnewline
0.58 & 221.516488541551 & 0.188400546971365 \tabularnewline
0.59 & 221.549921431703 & 0.173078677080593 \tabularnewline
0.6 & 221.581083095545 & 0.160316497954185 \tabularnewline
0.61 & 221.610480746022 & 0.150370520671104 \tabularnewline
0.62 & 221.6387350945 & 0.14378842544015 \tabularnewline
0.63 & 221.666605709023 & 0.141389826711927 \tabularnewline
0.64 & 221.695042158301 & 0.143719078908757 \tabularnewline
0.65 & 221.725264824719 & 0.152727189497283 \tabularnewline
0.66 & 221.75887415513 & 0.169935060500083 \tabularnewline
0.67 & 221.797979639534 & 0.198597779124943 \tabularnewline
0.68 & 221.845329821464 & 0.242167304063343 \tabularnewline
0.69 & 221.90441279191 & 0.304180204891834 \tabularnewline
0.7 & 221.979484927612 & 0.388380893210642 \tabularnewline
0.71 & 222.075477904677 & 0.49709928671903 \tabularnewline
0.72 & 222.197735612412 & 0.631686968707693 \tabularnewline
0.73 & 222.35154924606 & 0.790278692937576 \tabularnewline
0.74 & 222.541494374418 & 0.967663776042651 \tabularnewline
0.75 & 222.770626991793 & 1.1543675187296 \tabularnewline
0.76 & 223.039657644771 & 1.3370182417997 \tabularnewline
0.77 & 223.346276485678 & 1.49997781093972 \tabularnewline
0.78 & 223.684824908115 & 1.62670717511716 \tabularnewline
0.79 & 224.046480286638 & 1.70259798373632 \tabularnewline
0.8 & 224.420029873684 & 1.71825588621184 \tabularnewline
0.81 & 224.793169322483 & 1.67189292629825 \tabularnewline
0.82 & 225.15410554004 & 1.56955003622539 \tabularnewline
0.83 & 225.493124284075 & 1.42502449293555 \tabularnewline
0.84 & 225.80375101961 & 1.25702830483367 \tabularnewline
0.85 & 226.083216601576 & 1.08526912388821 \tabularnewline
0.86 & 226.332123924345 & 0.926730485772504 \tabularnewline
0.87 & 226.553441510975 & 0.791578920192596 \tabularnewline
0.88 & 226.751144763184 & 0.682145626485107 \tabularnewline
0.89 & 226.928914101263 & 0.593868675837337 \tabularnewline
0.9 & 227.089250972585 & 0.518299818381969 \tabularnewline
0.91 & 227.233209771384 & 0.447915539750695 \tabularnewline
0.92 & 227.360726670521 & 0.378200826855901 \tabularnewline
0.93 & 227.471325129614 & 0.308615003841809 \tabularnewline
0.94 & 227.56484845849 & 0.241738458904882 \tabularnewline
0.95 & 227.641852395095 & 0.181478651024874 \tabularnewline
0.96 & 227.703426089069 & 0.1307080660663 \tabularnewline
0.97 & 227.750544698979 & 0.0891038199522483 \tabularnewline
0.98 & 227.783557151411 & 0.0533672467273941 \tabularnewline
0.99 & 227.802719910789 & 0.0216754897791147 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174645&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]217.076671307736[/C][C]0.210773794296658[/C][/ROW]
[ROW][C]0.02[/C][C]217.203974519493[/C][C]0.249316692875883[/C][/ROW]
[ROW][C]0.03[/C][C]217.345559912215[/C][C]0.254902248126052[/C][/ROW]
[ROW][C]0.04[/C][C]217.47663236428[/C][C]0.232557271609501[/C][/ROW]
[ROW][C]0.05[/C][C]217.588971791247[/C][C]0.210059334006579[/C][/ROW]
[ROW][C]0.06[/C][C]217.685791757432[/C][C]0.20948872845678[/C][/ROW]
[ROW][C]0.07[/C][C]217.77541426104[/C][C]0.236151958923294[/C][/ROW]
[ROW][C]0.08[/C][C]217.866661636943[/C][C]0.284925090889881[/C][/ROW]
[ROW][C]0.09[/C][C]217.96641030348[/C][C]0.347166740991348[/C][/ROW]
[ROW][C]0.1[/C][C]218.078768491871[/C][C]0.415593278929486[/C][/ROW]
[ROW][C]0.11[/C][C]218.205111323728[/C][C]0.482830397497668[/C][/ROW]
[ROW][C]0.12[/C][C]218.344440397763[/C][C]0.541239995251934[/C][/ROW]
[ROW][C]0.13[/C][C]218.493859498549[/C][C]0.584544964664331[/C][/ROW]
[ROW][C]0.14[/C][C]218.649140533363[/C][C]0.608300082505534[/C][/ROW]
[ROW][C]0.15[/C][C]218.805374984471[/C][C]0.610835601860503[/C][/ROW]
[ROW][C]0.16[/C][C]218.957653341814[/C][C]0.592865723509834[/C][/ROW]
[ROW][C]0.17[/C][C]219.101672279779[/C][C]0.558028894085135[/C][/ROW]
[ROW][C]0.18[/C][C]219.234172655185[/C][C]0.511080660547514[/C][/ROW]
[ROW][C]0.19[/C][C]219.35315397126[/C][C]0.457361908875739[/C][/ROW]
[ROW][C]0.2[/C][C]219.457867391241[/C][C]0.40220645625678[/C][/ROW]
[ROW][C]0.21[/C][C]219.548636094753[/C][C]0.349679574128312[/C][/ROW]
[ROW][C]0.22[/C][C]219.62657626069[/C][C]0.302430351330433[/C][/ROW]
[ROW][C]0.23[/C][C]219.693293113239[/C][C]0.262229750266324[/C][/ROW]
[ROW][C]0.24[/C][C]219.750610518908[/C][C]0.22975219315511[/C][/ROW]
[ROW][C]0.25[/C][C]219.800368529731[/C][C]0.204406432687275[/C][/ROW]
[ROW][C]0.26[/C][C]219.844299191848[/C][C]0.186003683172659[/C][/ROW]
[ROW][C]0.27[/C][C]219.883972306845[/C][C]0.173633207651489[/C][/ROW]
[ROW][C]0.28[/C][C]219.920791875272[/C][C]0.166879515582873[/C][/ROW]
[ROW][C]0.29[/C][C]219.95602030893[/C][C]0.165865302835371[/C][/ROW]
[ROW][C]0.3[/C][C]219.990809352146[/C][C]0.169646152466237[/C][/ROW]
[ROW][C]0.31[/C][C]220.02622181761[/C][C]0.179012773768744[/C][/ROW]
[ROW][C]0.32[/C][C]220.063234864141[/C][C]0.193211111317866[/C][/ROW]
[ROW][C]0.33[/C][C]220.102722312264[/C][C]0.212032708836775[/C][/ROW]
[ROW][C]0.34[/C][C]220.145419529488[/C][C]0.234039858864429[/C][/ROW]
[ROW][C]0.35[/C][C]220.191879065459[/C][C]0.258650015776206[/C][/ROW]
[ROW][C]0.36[/C][C]220.24242793107[/C][C]0.284089112152803[/C][/ROW]
[ROW][C]0.37[/C][C]220.297137797655[/C][C]0.308811905061921[/C][/ROW]
[ROW][C]0.38[/C][C]220.355817337896[/C][C]0.331225736275792[/C][/ROW]
[ROW][C]0.39[/C][C]220.418031769251[/C][C]0.350295575861458[/C][/ROW]
[ROW][C]0.4[/C][C]220.48314919812[/C][C]0.364964393462445[/C][/ROW]
[ROW][C]0.41[/C][C]220.550407765801[/C][C]0.374400246379002[/C][/ROW]
[ROW][C]0.42[/C][C]220.618993146783[/C][C]0.379181139237806[/C][/ROW]
[ROW][C]0.43[/C][C]220.688113722162[/C][C]0.37962253142749[/C][/ROW]
[ROW][C]0.44[/C][C]220.757061323517[/C][C]0.376471908609401[/C][/ROW]
[ROW][C]0.45[/C][C]220.825248716684[/C][C]0.370414825205772[/C][/ROW]
[ROW][C]0.46[/C][C]220.892220194827[/C][C]0.362710738519626[/C][/ROW]
[ROW][C]0.47[/C][C]220.95763750967[/C][C]0.353724312357786[/C][/ROW]
[ROW][C]0.48[/C][C]221.021248458817[/C][C]0.343977906051604[/C][/ROW]
[ROW][C]0.49[/C][C]221.082848552316[/C][C]0.333293432048099[/C][/ROW]
[ROW][C]0.5[/C][C]221.142246628878[/C][C]0.321745794302057[/C][/ROW]
[ROW][C]0.51[/C][C]221.199243118394[/C][C]0.308962071128816[/C][/ROW]
[ROW][C]0.52[/C][C]221.253625570151[/C][C]0.294477195844244[/C][/ROW]
[ROW][C]0.53[/C][C]221.305181260663[/C][C]0.278490175792351[/C][/ROW]
[ROW][C]0.54[/C][C]221.353722450538[/C][C]0.261108618254197[/C][/ROW]
[ROW][C]0.55[/C][C]221.399117221354[/C][C]0.242729216758725[/C][/ROW]
[ROW][C]0.56[/C][C]221.441318329894[/C][C]0.224057343402626[/C][/ROW]
[ROW][C]0.57[/C][C]221.480384107917[/C][C]0.205668971348111[/C][/ROW]
[ROW][C]0.58[/C][C]221.516488541551[/C][C]0.188400546971365[/C][/ROW]
[ROW][C]0.59[/C][C]221.549921431703[/C][C]0.173078677080593[/C][/ROW]
[ROW][C]0.6[/C][C]221.581083095545[/C][C]0.160316497954185[/C][/ROW]
[ROW][C]0.61[/C][C]221.610480746022[/C][C]0.150370520671104[/C][/ROW]
[ROW][C]0.62[/C][C]221.6387350945[/C][C]0.14378842544015[/C][/ROW]
[ROW][C]0.63[/C][C]221.666605709023[/C][C]0.141389826711927[/C][/ROW]
[ROW][C]0.64[/C][C]221.695042158301[/C][C]0.143719078908757[/C][/ROW]
[ROW][C]0.65[/C][C]221.725264824719[/C][C]0.152727189497283[/C][/ROW]
[ROW][C]0.66[/C][C]221.75887415513[/C][C]0.169935060500083[/C][/ROW]
[ROW][C]0.67[/C][C]221.797979639534[/C][C]0.198597779124943[/C][/ROW]
[ROW][C]0.68[/C][C]221.845329821464[/C][C]0.242167304063343[/C][/ROW]
[ROW][C]0.69[/C][C]221.90441279191[/C][C]0.304180204891834[/C][/ROW]
[ROW][C]0.7[/C][C]221.979484927612[/C][C]0.388380893210642[/C][/ROW]
[ROW][C]0.71[/C][C]222.075477904677[/C][C]0.49709928671903[/C][/ROW]
[ROW][C]0.72[/C][C]222.197735612412[/C][C]0.631686968707693[/C][/ROW]
[ROW][C]0.73[/C][C]222.35154924606[/C][C]0.790278692937576[/C][/ROW]
[ROW][C]0.74[/C][C]222.541494374418[/C][C]0.967663776042651[/C][/ROW]
[ROW][C]0.75[/C][C]222.770626991793[/C][C]1.1543675187296[/C][/ROW]
[ROW][C]0.76[/C][C]223.039657644771[/C][C]1.3370182417997[/C][/ROW]
[ROW][C]0.77[/C][C]223.346276485678[/C][C]1.49997781093972[/C][/ROW]
[ROW][C]0.78[/C][C]223.684824908115[/C][C]1.62670717511716[/C][/ROW]
[ROW][C]0.79[/C][C]224.046480286638[/C][C]1.70259798373632[/C][/ROW]
[ROW][C]0.8[/C][C]224.420029873684[/C][C]1.71825588621184[/C][/ROW]
[ROW][C]0.81[/C][C]224.793169322483[/C][C]1.67189292629825[/C][/ROW]
[ROW][C]0.82[/C][C]225.15410554004[/C][C]1.56955003622539[/C][/ROW]
[ROW][C]0.83[/C][C]225.493124284075[/C][C]1.42502449293555[/C][/ROW]
[ROW][C]0.84[/C][C]225.80375101961[/C][C]1.25702830483367[/C][/ROW]
[ROW][C]0.85[/C][C]226.083216601576[/C][C]1.08526912388821[/C][/ROW]
[ROW][C]0.86[/C][C]226.332123924345[/C][C]0.926730485772504[/C][/ROW]
[ROW][C]0.87[/C][C]226.553441510975[/C][C]0.791578920192596[/C][/ROW]
[ROW][C]0.88[/C][C]226.751144763184[/C][C]0.682145626485107[/C][/ROW]
[ROW][C]0.89[/C][C]226.928914101263[/C][C]0.593868675837337[/C][/ROW]
[ROW][C]0.9[/C][C]227.089250972585[/C][C]0.518299818381969[/C][/ROW]
[ROW][C]0.91[/C][C]227.233209771384[/C][C]0.447915539750695[/C][/ROW]
[ROW][C]0.92[/C][C]227.360726670521[/C][C]0.378200826855901[/C][/ROW]
[ROW][C]0.93[/C][C]227.471325129614[/C][C]0.308615003841809[/C][/ROW]
[ROW][C]0.94[/C][C]227.56484845849[/C][C]0.241738458904882[/C][/ROW]
[ROW][C]0.95[/C][C]227.641852395095[/C][C]0.181478651024874[/C][/ROW]
[ROW][C]0.96[/C][C]227.703426089069[/C][C]0.1307080660663[/C][/ROW]
[ROW][C]0.97[/C][C]227.750544698979[/C][C]0.0891038199522483[/C][/ROW]
[ROW][C]0.98[/C][C]227.783557151411[/C][C]0.0533672467273941[/C][/ROW]
[ROW][C]0.99[/C][C]227.802719910789[/C][C]0.0216754897791147[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174645&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174645&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
0.01217.0766713077360.210773794296658
0.02217.2039745194930.249316692875883
0.03217.3455599122150.254902248126052
0.04217.476632364280.232557271609501
0.05217.5889717912470.210059334006579
0.06217.6857917574320.20948872845678
0.07217.775414261040.236151958923294
0.08217.8666616369430.284925090889881
0.09217.966410303480.347166740991348
0.1218.0787684918710.415593278929486
0.11218.2051113237280.482830397497668
0.12218.3444403977630.541239995251934
0.13218.4938594985490.584544964664331
0.14218.6491405333630.608300082505534
0.15218.8053749844710.610835601860503
0.16218.9576533418140.592865723509834
0.17219.1016722797790.558028894085135
0.18219.2341726551850.511080660547514
0.19219.353153971260.457361908875739
0.2219.4578673912410.40220645625678
0.21219.5486360947530.349679574128312
0.22219.626576260690.302430351330433
0.23219.6932931132390.262229750266324
0.24219.7506105189080.22975219315511
0.25219.8003685297310.204406432687275
0.26219.8442991918480.186003683172659
0.27219.8839723068450.173633207651489
0.28219.9207918752720.166879515582873
0.29219.956020308930.165865302835371
0.3219.9908093521460.169646152466237
0.31220.026221817610.179012773768744
0.32220.0632348641410.193211111317866
0.33220.1027223122640.212032708836775
0.34220.1454195294880.234039858864429
0.35220.1918790654590.258650015776206
0.36220.242427931070.284089112152803
0.37220.2971377976550.308811905061921
0.38220.3558173378960.331225736275792
0.39220.4180317692510.350295575861458
0.4220.483149198120.364964393462445
0.41220.5504077658010.374400246379002
0.42220.6189931467830.379181139237806
0.43220.6881137221620.37962253142749
0.44220.7570613235170.376471908609401
0.45220.8252487166840.370414825205772
0.46220.8922201948270.362710738519626
0.47220.957637509670.353724312357786
0.48221.0212484588170.343977906051604
0.49221.0828485523160.333293432048099
0.5221.1422466288780.321745794302057
0.51221.1992431183940.308962071128816
0.52221.2536255701510.294477195844244
0.53221.3051812606630.278490175792351
0.54221.3537224505380.261108618254197
0.55221.3991172213540.242729216758725
0.56221.4413183298940.224057343402626
0.57221.4803841079170.205668971348111
0.58221.5164885415510.188400546971365
0.59221.5499214317030.173078677080593
0.6221.5810830955450.160316497954185
0.61221.6104807460220.150370520671104
0.62221.63873509450.14378842544015
0.63221.6666057090230.141389826711927
0.64221.6950421583010.143719078908757
0.65221.7252648247190.152727189497283
0.66221.758874155130.169935060500083
0.67221.7979796395340.198597779124943
0.68221.8453298214640.242167304063343
0.69221.904412791910.304180204891834
0.7221.9794849276120.388380893210642
0.71222.0754779046770.49709928671903
0.72222.1977356124120.631686968707693
0.73222.351549246060.790278692937576
0.74222.5414943744180.967663776042651
0.75222.7706269917931.1543675187296
0.76223.0396576447711.3370182417997
0.77223.3462764856781.49997781093972
0.78223.6848249081151.62670717511716
0.79224.0464802866381.70259798373632
0.8224.4200298736841.71825588621184
0.81224.7931693224831.67189292629825
0.82225.154105540041.56955003622539
0.83225.4931242840751.42502449293555
0.84225.803751019611.25702830483367
0.85226.0832166015761.08526912388821
0.86226.3321239243450.926730485772504
0.87226.5534415109750.791578920192596
0.88226.7511447631840.682145626485107
0.89226.9289141012630.593868675837337
0.9227.0892509725850.518299818381969
0.91227.2332097713840.447915539750695
0.92227.3607266705210.378200826855901
0.93227.4713251296140.308615003841809
0.94227.564848458490.241738458904882
0.95227.6418523950950.181478651024874
0.96227.7034260890690.1307080660663
0.97227.7505446989790.0891038199522483
0.98227.7835571514110.0533672467273941
0.99227.8027199107890.0216754897791147


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')