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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 06 Oct 2012 10:54:53 -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/06/t1349535303qhbyrpiydt4wngg.htm/, Retrieved Tue, 30 Apr 2024 11:30:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=172688, Retrieved Tue, 30 Apr 2024 11:30:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact63
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2012-10-06 14:54:53] [0b7e70096319a28f23e2583f3bf72e62] [Current]
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Dataseries X:
39,28
39,36
39,55
39,64
39,8
39,79
39,79
39,86
39,91
40
40,01
40,01
40,01
39,96
40
39,76
39,68
39,7
39,7
39,73
39,64
39,56
39,67
39,66
39,66
40,05
39,99
40,06
40,08
40,1
40,1
40,12
40,07
40,24
40,58
40,72
40,72
40,89
40,9
41,04
41,27
41,29
41,29
41,33
41,34
41,37
41,33
41,37
41,37
41,42
41,61
41,58
41,75
41,75
41,75
41,85
41,84
41,97
42,01
42,04
42,04
42,06
41,93
41,93
41,99
42,03
42,03
42,12
42,22
42,21
42,23
42,22




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172688&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172688&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172688&T=0

As an alternative you can also use a 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'George Udny Yule' @ yule.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0139.315800928270.0983713482350143
0.0239.37545038280370.118094570565876
0.0339.44120965611190.117708130459045
0.0439.50030543974450.101153212327017
0.0539.54764546044570.0806215452049917
0.0639.58331760723860.063114973598825
0.0739.60961120588170.0500066705319773
0.0839.62915840378710.0406938851475451
0.0939.64419320619490.0347553276716172
0.139.65643265888220.0320713734061404
0.1139.66716101582680.0322028235811881
0.1239.67732505793560.0345903294438788
0.1339.6876021613610.0385075901107183
0.1439.69845302390620.0434368541447876
0.1539.71016978130890.048978552390203
0.1639.72292027396650.0548681794212189
0.1739.73678479447840.0609816746198492
0.1839.75178206761050.0670901274579021
0.1939.76788335823280.0730745426805818
0.239.78501596430530.0788221788447716
0.2139.80305953943670.0839447339705789
0.2239.82184035751470.0882021532406733
0.2339.84112921940350.0912239393423043
0.2439.86064776924340.0926663832065444
0.2539.88008560426030.0924020556505044
0.2639.89912739502230.0904696604948034
0.2739.91748630002380.087006451976776
0.2839.93493820109030.0824593928007783
0.2939.95135119698350.0773417090362677
0.339.96670625626720.0723527162729389
0.3139.98110731740420.0681917942312953
0.3239.9947815633660.0655108477145318
0.3340.00807230013130.0651214258980584
0.3440.02142737663410.0674998482061071
0.3540.0353853855240.0732969085711053
0.3640.05056037143050.0828073162044775
0.3740.06762408702940.0962987705324764
0.3840.08728365375460.113909534597289
0.3940.11025230762460.135560409133844
0.440.13721192189410.160795302755492
0.4140.16876799650010.189140164967391
0.4240.20540025854920.219654792590178
0.4340.24741421505860.251160029814637
0.4440.29490025114430.28226056846117
0.4540.34770672167540.311634708670873
0.4640.40543187273290.33780884543511
0.4740.46743669839490.359506968530045
0.4840.53287765571610.375835549279993
0.4940.60075531207240.386016881679056
0.540.669973147060.389777197115007
0.5140.73940021569370.387276298215186
0.5240.80793212846180.378721002522843
0.5340.87454638379220.3648397935103
0.5440.93834987562080.346386899178138
0.5540.99861780155680.32434565571853
0.5641.05482385177750.299847968501664
0.5741.10666142900720.273994382192226
0.5841.15405500518570.24805393017208
0.5941.19716001275710.223338510674939
0.641.23634936285660.200970954939331
0.6141.27218510391550.182066602762799
0.6241.30537497653080.167515915292541
0.6341.33671553356760.157859830984002
0.6441.36702573158920.153183756016536
0.6541.39707699861380.153016135420238
0.6641.42752725575110.156386003687146
0.6741.45886679019450.161957009159193
0.6841.49138296669730.168424944176016
0.6941.52514847977830.174395832135802
0.741.56003444496640.178906602183917
0.7141.5957456740450.181148081257435
0.7241.63187178625560.180717773547444
0.7341.66794524752060.177561683294813
0.7441.70349668895250.171977350245475
0.7541.73809918949050.164353332988694
0.7641.77139630419440.155224105195268
0.7741.80311265461890.145115656232803
0.7841.83304978473780.134482898794823
0.7941.86107275012760.123570754242355
0.841.88709402854460.112614568685785
0.8141.91106090729120.101712795513239
0.8241.93295110464380.0909340972940163
0.8341.95277974783810.0804195225297753
0.8441.97061937250160.070354605116136
0.8541.98663306613380.0610353947742838
0.8642.0011182278380.0528642501891006
0.8742.01455320191870.0465352384870702
0.8842.0276302509690.0428279169420026
0.8942.04124693408070.0426547203857012
0.942.05641896059730.046425804463767
0.9142.07408158881990.0534301659970876
0.9242.09477811036020.0617005770528684
0.9342.11830243828230.068307424720195
0.9442.14345521170810.0699297689587058
0.9542.16813410534570.0641404417848139
0.9642.1899125399930.0509464293508001
0.9742.20698054152340.0337115341909177
0.9842.21888544256110.0182462861835231
0.9942.22632073033390.0103683360033612

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 39.31580092827 & 0.0983713482350143 \tabularnewline
0.02 & 39.3754503828037 & 0.118094570565876 \tabularnewline
0.03 & 39.4412096561119 & 0.117708130459045 \tabularnewline
0.04 & 39.5003054397445 & 0.101153212327017 \tabularnewline
0.05 & 39.5476454604457 & 0.0806215452049917 \tabularnewline
0.06 & 39.5833176072386 & 0.063114973598825 \tabularnewline
0.07 & 39.6096112058817 & 0.0500066705319773 \tabularnewline
0.08 & 39.6291584037871 & 0.0406938851475451 \tabularnewline
0.09 & 39.6441932061949 & 0.0347553276716172 \tabularnewline
0.1 & 39.6564326588822 & 0.0320713734061404 \tabularnewline
0.11 & 39.6671610158268 & 0.0322028235811881 \tabularnewline
0.12 & 39.6773250579356 & 0.0345903294438788 \tabularnewline
0.13 & 39.687602161361 & 0.0385075901107183 \tabularnewline
0.14 & 39.6984530239062 & 0.0434368541447876 \tabularnewline
0.15 & 39.7101697813089 & 0.048978552390203 \tabularnewline
0.16 & 39.7229202739665 & 0.0548681794212189 \tabularnewline
0.17 & 39.7367847944784 & 0.0609816746198492 \tabularnewline
0.18 & 39.7517820676105 & 0.0670901274579021 \tabularnewline
0.19 & 39.7678833582328 & 0.0730745426805818 \tabularnewline
0.2 & 39.7850159643053 & 0.0788221788447716 \tabularnewline
0.21 & 39.8030595394367 & 0.0839447339705789 \tabularnewline
0.22 & 39.8218403575147 & 0.0882021532406733 \tabularnewline
0.23 & 39.8411292194035 & 0.0912239393423043 \tabularnewline
0.24 & 39.8606477692434 & 0.0926663832065444 \tabularnewline
0.25 & 39.8800856042603 & 0.0924020556505044 \tabularnewline
0.26 & 39.8991273950223 & 0.0904696604948034 \tabularnewline
0.27 & 39.9174863000238 & 0.087006451976776 \tabularnewline
0.28 & 39.9349382010903 & 0.0824593928007783 \tabularnewline
0.29 & 39.9513511969835 & 0.0773417090362677 \tabularnewline
0.3 & 39.9667062562672 & 0.0723527162729389 \tabularnewline
0.31 & 39.9811073174042 & 0.0681917942312953 \tabularnewline
0.32 & 39.994781563366 & 0.0655108477145318 \tabularnewline
0.33 & 40.0080723001313 & 0.0651214258980584 \tabularnewline
0.34 & 40.0214273766341 & 0.0674998482061071 \tabularnewline
0.35 & 40.035385385524 & 0.0732969085711053 \tabularnewline
0.36 & 40.0505603714305 & 0.0828073162044775 \tabularnewline
0.37 & 40.0676240870294 & 0.0962987705324764 \tabularnewline
0.38 & 40.0872836537546 & 0.113909534597289 \tabularnewline
0.39 & 40.1102523076246 & 0.135560409133844 \tabularnewline
0.4 & 40.1372119218941 & 0.160795302755492 \tabularnewline
0.41 & 40.1687679965001 & 0.189140164967391 \tabularnewline
0.42 & 40.2054002585492 & 0.219654792590178 \tabularnewline
0.43 & 40.2474142150586 & 0.251160029814637 \tabularnewline
0.44 & 40.2949002511443 & 0.28226056846117 \tabularnewline
0.45 & 40.3477067216754 & 0.311634708670873 \tabularnewline
0.46 & 40.4054318727329 & 0.33780884543511 \tabularnewline
0.47 & 40.4674366983949 & 0.359506968530045 \tabularnewline
0.48 & 40.5328776557161 & 0.375835549279993 \tabularnewline
0.49 & 40.6007553120724 & 0.386016881679056 \tabularnewline
0.5 & 40.66997314706 & 0.389777197115007 \tabularnewline
0.51 & 40.7394002156937 & 0.387276298215186 \tabularnewline
0.52 & 40.8079321284618 & 0.378721002522843 \tabularnewline
0.53 & 40.8745463837922 & 0.3648397935103 \tabularnewline
0.54 & 40.9383498756208 & 0.346386899178138 \tabularnewline
0.55 & 40.9986178015568 & 0.32434565571853 \tabularnewline
0.56 & 41.0548238517775 & 0.299847968501664 \tabularnewline
0.57 & 41.1066614290072 & 0.273994382192226 \tabularnewline
0.58 & 41.1540550051857 & 0.24805393017208 \tabularnewline
0.59 & 41.1971600127571 & 0.223338510674939 \tabularnewline
0.6 & 41.2363493628566 & 0.200970954939331 \tabularnewline
0.61 & 41.2721851039155 & 0.182066602762799 \tabularnewline
0.62 & 41.3053749765308 & 0.167515915292541 \tabularnewline
0.63 & 41.3367155335676 & 0.157859830984002 \tabularnewline
0.64 & 41.3670257315892 & 0.153183756016536 \tabularnewline
0.65 & 41.3970769986138 & 0.153016135420238 \tabularnewline
0.66 & 41.4275272557511 & 0.156386003687146 \tabularnewline
0.67 & 41.4588667901945 & 0.161957009159193 \tabularnewline
0.68 & 41.4913829666973 & 0.168424944176016 \tabularnewline
0.69 & 41.5251484797783 & 0.174395832135802 \tabularnewline
0.7 & 41.5600344449664 & 0.178906602183917 \tabularnewline
0.71 & 41.595745674045 & 0.181148081257435 \tabularnewline
0.72 & 41.6318717862556 & 0.180717773547444 \tabularnewline
0.73 & 41.6679452475206 & 0.177561683294813 \tabularnewline
0.74 & 41.7034966889525 & 0.171977350245475 \tabularnewline
0.75 & 41.7380991894905 & 0.164353332988694 \tabularnewline
0.76 & 41.7713963041944 & 0.155224105195268 \tabularnewline
0.77 & 41.8031126546189 & 0.145115656232803 \tabularnewline
0.78 & 41.8330497847378 & 0.134482898794823 \tabularnewline
0.79 & 41.8610727501276 & 0.123570754242355 \tabularnewline
0.8 & 41.8870940285446 & 0.112614568685785 \tabularnewline
0.81 & 41.9110609072912 & 0.101712795513239 \tabularnewline
0.82 & 41.9329511046438 & 0.0909340972940163 \tabularnewline
0.83 & 41.9527797478381 & 0.0804195225297753 \tabularnewline
0.84 & 41.9706193725016 & 0.070354605116136 \tabularnewline
0.85 & 41.9866330661338 & 0.0610353947742838 \tabularnewline
0.86 & 42.001118227838 & 0.0528642501891006 \tabularnewline
0.87 & 42.0145532019187 & 0.0465352384870702 \tabularnewline
0.88 & 42.027630250969 & 0.0428279169420026 \tabularnewline
0.89 & 42.0412469340807 & 0.0426547203857012 \tabularnewline
0.9 & 42.0564189605973 & 0.046425804463767 \tabularnewline
0.91 & 42.0740815888199 & 0.0534301659970876 \tabularnewline
0.92 & 42.0947781103602 & 0.0617005770528684 \tabularnewline
0.93 & 42.1183024382823 & 0.068307424720195 \tabularnewline
0.94 & 42.1434552117081 & 0.0699297689587058 \tabularnewline
0.95 & 42.1681341053457 & 0.0641404417848139 \tabularnewline
0.96 & 42.189912539993 & 0.0509464293508001 \tabularnewline
0.97 & 42.2069805415234 & 0.0337115341909177 \tabularnewline
0.98 & 42.2188854425611 & 0.0182462861835231 \tabularnewline
0.99 & 42.2263207303339 & 0.0103683360033612 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172688&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]39.31580092827[/C][C]0.0983713482350143[/C][/ROW]
[ROW][C]0.02[/C][C]39.3754503828037[/C][C]0.118094570565876[/C][/ROW]
[ROW][C]0.03[/C][C]39.4412096561119[/C][C]0.117708130459045[/C][/ROW]
[ROW][C]0.04[/C][C]39.5003054397445[/C][C]0.101153212327017[/C][/ROW]
[ROW][C]0.05[/C][C]39.5476454604457[/C][C]0.0806215452049917[/C][/ROW]
[ROW][C]0.06[/C][C]39.5833176072386[/C][C]0.063114973598825[/C][/ROW]
[ROW][C]0.07[/C][C]39.6096112058817[/C][C]0.0500066705319773[/C][/ROW]
[ROW][C]0.08[/C][C]39.6291584037871[/C][C]0.0406938851475451[/C][/ROW]
[ROW][C]0.09[/C][C]39.6441932061949[/C][C]0.0347553276716172[/C][/ROW]
[ROW][C]0.1[/C][C]39.6564326588822[/C][C]0.0320713734061404[/C][/ROW]
[ROW][C]0.11[/C][C]39.6671610158268[/C][C]0.0322028235811881[/C][/ROW]
[ROW][C]0.12[/C][C]39.6773250579356[/C][C]0.0345903294438788[/C][/ROW]
[ROW][C]0.13[/C][C]39.687602161361[/C][C]0.0385075901107183[/C][/ROW]
[ROW][C]0.14[/C][C]39.6984530239062[/C][C]0.0434368541447876[/C][/ROW]
[ROW][C]0.15[/C][C]39.7101697813089[/C][C]0.048978552390203[/C][/ROW]
[ROW][C]0.16[/C][C]39.7229202739665[/C][C]0.0548681794212189[/C][/ROW]
[ROW][C]0.17[/C][C]39.7367847944784[/C][C]0.0609816746198492[/C][/ROW]
[ROW][C]0.18[/C][C]39.7517820676105[/C][C]0.0670901274579021[/C][/ROW]
[ROW][C]0.19[/C][C]39.7678833582328[/C][C]0.0730745426805818[/C][/ROW]
[ROW][C]0.2[/C][C]39.7850159643053[/C][C]0.0788221788447716[/C][/ROW]
[ROW][C]0.21[/C][C]39.8030595394367[/C][C]0.0839447339705789[/C][/ROW]
[ROW][C]0.22[/C][C]39.8218403575147[/C][C]0.0882021532406733[/C][/ROW]
[ROW][C]0.23[/C][C]39.8411292194035[/C][C]0.0912239393423043[/C][/ROW]
[ROW][C]0.24[/C][C]39.8606477692434[/C][C]0.0926663832065444[/C][/ROW]
[ROW][C]0.25[/C][C]39.8800856042603[/C][C]0.0924020556505044[/C][/ROW]
[ROW][C]0.26[/C][C]39.8991273950223[/C][C]0.0904696604948034[/C][/ROW]
[ROW][C]0.27[/C][C]39.9174863000238[/C][C]0.087006451976776[/C][/ROW]
[ROW][C]0.28[/C][C]39.9349382010903[/C][C]0.0824593928007783[/C][/ROW]
[ROW][C]0.29[/C][C]39.9513511969835[/C][C]0.0773417090362677[/C][/ROW]
[ROW][C]0.3[/C][C]39.9667062562672[/C][C]0.0723527162729389[/C][/ROW]
[ROW][C]0.31[/C][C]39.9811073174042[/C][C]0.0681917942312953[/C][/ROW]
[ROW][C]0.32[/C][C]39.994781563366[/C][C]0.0655108477145318[/C][/ROW]
[ROW][C]0.33[/C][C]40.0080723001313[/C][C]0.0651214258980584[/C][/ROW]
[ROW][C]0.34[/C][C]40.0214273766341[/C][C]0.0674998482061071[/C][/ROW]
[ROW][C]0.35[/C][C]40.035385385524[/C][C]0.0732969085711053[/C][/ROW]
[ROW][C]0.36[/C][C]40.0505603714305[/C][C]0.0828073162044775[/C][/ROW]
[ROW][C]0.37[/C][C]40.0676240870294[/C][C]0.0962987705324764[/C][/ROW]
[ROW][C]0.38[/C][C]40.0872836537546[/C][C]0.113909534597289[/C][/ROW]
[ROW][C]0.39[/C][C]40.1102523076246[/C][C]0.135560409133844[/C][/ROW]
[ROW][C]0.4[/C][C]40.1372119218941[/C][C]0.160795302755492[/C][/ROW]
[ROW][C]0.41[/C][C]40.1687679965001[/C][C]0.189140164967391[/C][/ROW]
[ROW][C]0.42[/C][C]40.2054002585492[/C][C]0.219654792590178[/C][/ROW]
[ROW][C]0.43[/C][C]40.2474142150586[/C][C]0.251160029814637[/C][/ROW]
[ROW][C]0.44[/C][C]40.2949002511443[/C][C]0.28226056846117[/C][/ROW]
[ROW][C]0.45[/C][C]40.3477067216754[/C][C]0.311634708670873[/C][/ROW]
[ROW][C]0.46[/C][C]40.4054318727329[/C][C]0.33780884543511[/C][/ROW]
[ROW][C]0.47[/C][C]40.4674366983949[/C][C]0.359506968530045[/C][/ROW]
[ROW][C]0.48[/C][C]40.5328776557161[/C][C]0.375835549279993[/C][/ROW]
[ROW][C]0.49[/C][C]40.6007553120724[/C][C]0.386016881679056[/C][/ROW]
[ROW][C]0.5[/C][C]40.66997314706[/C][C]0.389777197115007[/C][/ROW]
[ROW][C]0.51[/C][C]40.7394002156937[/C][C]0.387276298215186[/C][/ROW]
[ROW][C]0.52[/C][C]40.8079321284618[/C][C]0.378721002522843[/C][/ROW]
[ROW][C]0.53[/C][C]40.8745463837922[/C][C]0.3648397935103[/C][/ROW]
[ROW][C]0.54[/C][C]40.9383498756208[/C][C]0.346386899178138[/C][/ROW]
[ROW][C]0.55[/C][C]40.9986178015568[/C][C]0.32434565571853[/C][/ROW]
[ROW][C]0.56[/C][C]41.0548238517775[/C][C]0.299847968501664[/C][/ROW]
[ROW][C]0.57[/C][C]41.1066614290072[/C][C]0.273994382192226[/C][/ROW]
[ROW][C]0.58[/C][C]41.1540550051857[/C][C]0.24805393017208[/C][/ROW]
[ROW][C]0.59[/C][C]41.1971600127571[/C][C]0.223338510674939[/C][/ROW]
[ROW][C]0.6[/C][C]41.2363493628566[/C][C]0.200970954939331[/C][/ROW]
[ROW][C]0.61[/C][C]41.2721851039155[/C][C]0.182066602762799[/C][/ROW]
[ROW][C]0.62[/C][C]41.3053749765308[/C][C]0.167515915292541[/C][/ROW]
[ROW][C]0.63[/C][C]41.3367155335676[/C][C]0.157859830984002[/C][/ROW]
[ROW][C]0.64[/C][C]41.3670257315892[/C][C]0.153183756016536[/C][/ROW]
[ROW][C]0.65[/C][C]41.3970769986138[/C][C]0.153016135420238[/C][/ROW]
[ROW][C]0.66[/C][C]41.4275272557511[/C][C]0.156386003687146[/C][/ROW]
[ROW][C]0.67[/C][C]41.4588667901945[/C][C]0.161957009159193[/C][/ROW]
[ROW][C]0.68[/C][C]41.4913829666973[/C][C]0.168424944176016[/C][/ROW]
[ROW][C]0.69[/C][C]41.5251484797783[/C][C]0.174395832135802[/C][/ROW]
[ROW][C]0.7[/C][C]41.5600344449664[/C][C]0.178906602183917[/C][/ROW]
[ROW][C]0.71[/C][C]41.595745674045[/C][C]0.181148081257435[/C][/ROW]
[ROW][C]0.72[/C][C]41.6318717862556[/C][C]0.180717773547444[/C][/ROW]
[ROW][C]0.73[/C][C]41.6679452475206[/C][C]0.177561683294813[/C][/ROW]
[ROW][C]0.74[/C][C]41.7034966889525[/C][C]0.171977350245475[/C][/ROW]
[ROW][C]0.75[/C][C]41.7380991894905[/C][C]0.164353332988694[/C][/ROW]
[ROW][C]0.76[/C][C]41.7713963041944[/C][C]0.155224105195268[/C][/ROW]
[ROW][C]0.77[/C][C]41.8031126546189[/C][C]0.145115656232803[/C][/ROW]
[ROW][C]0.78[/C][C]41.8330497847378[/C][C]0.134482898794823[/C][/ROW]
[ROW][C]0.79[/C][C]41.8610727501276[/C][C]0.123570754242355[/C][/ROW]
[ROW][C]0.8[/C][C]41.8870940285446[/C][C]0.112614568685785[/C][/ROW]
[ROW][C]0.81[/C][C]41.9110609072912[/C][C]0.101712795513239[/C][/ROW]
[ROW][C]0.82[/C][C]41.9329511046438[/C][C]0.0909340972940163[/C][/ROW]
[ROW][C]0.83[/C][C]41.9527797478381[/C][C]0.0804195225297753[/C][/ROW]
[ROW][C]0.84[/C][C]41.9706193725016[/C][C]0.070354605116136[/C][/ROW]
[ROW][C]0.85[/C][C]41.9866330661338[/C][C]0.0610353947742838[/C][/ROW]
[ROW][C]0.86[/C][C]42.001118227838[/C][C]0.0528642501891006[/C][/ROW]
[ROW][C]0.87[/C][C]42.0145532019187[/C][C]0.0465352384870702[/C][/ROW]
[ROW][C]0.88[/C][C]42.027630250969[/C][C]0.0428279169420026[/C][/ROW]
[ROW][C]0.89[/C][C]42.0412469340807[/C][C]0.0426547203857012[/C][/ROW]
[ROW][C]0.9[/C][C]42.0564189605973[/C][C]0.046425804463767[/C][/ROW]
[ROW][C]0.91[/C][C]42.0740815888199[/C][C]0.0534301659970876[/C][/ROW]
[ROW][C]0.92[/C][C]42.0947781103602[/C][C]0.0617005770528684[/C][/ROW]
[ROW][C]0.93[/C][C]42.1183024382823[/C][C]0.068307424720195[/C][/ROW]
[ROW][C]0.94[/C][C]42.1434552117081[/C][C]0.0699297689587058[/C][/ROW]
[ROW][C]0.95[/C][C]42.1681341053457[/C][C]0.0641404417848139[/C][/ROW]
[ROW][C]0.96[/C][C]42.189912539993[/C][C]0.0509464293508001[/C][/ROW]
[ROW][C]0.97[/C][C]42.2069805415234[/C][C]0.0337115341909177[/C][/ROW]
[ROW][C]0.98[/C][C]42.2188854425611[/C][C]0.0182462861835231[/C][/ROW]
[ROW][C]0.99[/C][C]42.2263207303339[/C][C]0.0103683360033612[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172688&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172688&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0139.315800928270.0983713482350143
0.0239.37545038280370.118094570565876
0.0339.44120965611190.117708130459045
0.0439.50030543974450.101153212327017
0.0539.54764546044570.0806215452049917
0.0639.58331760723860.063114973598825
0.0739.60961120588170.0500066705319773
0.0839.62915840378710.0406938851475451
0.0939.64419320619490.0347553276716172
0.139.65643265888220.0320713734061404
0.1139.66716101582680.0322028235811881
0.1239.67732505793560.0345903294438788
0.1339.6876021613610.0385075901107183
0.1439.69845302390620.0434368541447876
0.1539.71016978130890.048978552390203
0.1639.72292027396650.0548681794212189
0.1739.73678479447840.0609816746198492
0.1839.75178206761050.0670901274579021
0.1939.76788335823280.0730745426805818
0.239.78501596430530.0788221788447716
0.2139.80305953943670.0839447339705789
0.2239.82184035751470.0882021532406733
0.2339.84112921940350.0912239393423043
0.2439.86064776924340.0926663832065444
0.2539.88008560426030.0924020556505044
0.2639.89912739502230.0904696604948034
0.2739.91748630002380.087006451976776
0.2839.93493820109030.0824593928007783
0.2939.95135119698350.0773417090362677
0.339.96670625626720.0723527162729389
0.3139.98110731740420.0681917942312953
0.3239.9947815633660.0655108477145318
0.3340.00807230013130.0651214258980584
0.3440.02142737663410.0674998482061071
0.3540.0353853855240.0732969085711053
0.3640.05056037143050.0828073162044775
0.3740.06762408702940.0962987705324764
0.3840.08728365375460.113909534597289
0.3940.11025230762460.135560409133844
0.440.13721192189410.160795302755492
0.4140.16876799650010.189140164967391
0.4240.20540025854920.219654792590178
0.4340.24741421505860.251160029814637
0.4440.29490025114430.28226056846117
0.4540.34770672167540.311634708670873
0.4640.40543187273290.33780884543511
0.4740.46743669839490.359506968530045
0.4840.53287765571610.375835549279993
0.4940.60075531207240.386016881679056
0.540.669973147060.389777197115007
0.5140.73940021569370.387276298215186
0.5240.80793212846180.378721002522843
0.5340.87454638379220.3648397935103
0.5440.93834987562080.346386899178138
0.5540.99861780155680.32434565571853
0.5641.05482385177750.299847968501664
0.5741.10666142900720.273994382192226
0.5841.15405500518570.24805393017208
0.5941.19716001275710.223338510674939
0.641.23634936285660.200970954939331
0.6141.27218510391550.182066602762799
0.6241.30537497653080.167515915292541
0.6341.33671553356760.157859830984002
0.6441.36702573158920.153183756016536
0.6541.39707699861380.153016135420238
0.6641.42752725575110.156386003687146
0.6741.45886679019450.161957009159193
0.6841.49138296669730.168424944176016
0.6941.52514847977830.174395832135802
0.741.56003444496640.178906602183917
0.7141.5957456740450.181148081257435
0.7241.63187178625560.180717773547444
0.7341.66794524752060.177561683294813
0.7441.70349668895250.171977350245475
0.7541.73809918949050.164353332988694
0.7641.77139630419440.155224105195268
0.7741.80311265461890.145115656232803
0.7841.83304978473780.134482898794823
0.7941.86107275012760.123570754242355
0.841.88709402854460.112614568685785
0.8141.91106090729120.101712795513239
0.8241.93295110464380.0909340972940163
0.8341.95277974783810.0804195225297753
0.8441.97061937250160.070354605116136
0.8541.98663306613380.0610353947742838
0.8642.0011182278380.0528642501891006
0.8742.01455320191870.0465352384870702
0.8842.0276302509690.0428279169420026
0.8942.04124693408070.0426547203857012
0.942.05641896059730.046425804463767
0.9142.07408158881990.0534301659970876
0.9242.09477811036020.0617005770528684
0.9342.11830243828230.068307424720195
0.9442.14345521170810.0699297689587058
0.9542.16813410534570.0641404417848139
0.9642.1899125399930.0509464293508001
0.9742.20698054152340.0337115341909177
0.9842.21888544256110.0182462861835231
0.9942.22632073033390.0103683360033612



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')