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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 06 Dec 2012 11:35:23 -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/2012/Dec/06/t13548117592rcl7ho1g65hf80.htm/, Retrieved Fri, 26 Apr 2024 09:44:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197169, Retrieved Fri, 26 Apr 2024 09:44:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2012-12-06 16:35:23] [f926d2a8812ea27da1e154fca8928f89] [Current]
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Dataseries X:
23,9
24,06
24,33
24,39
24,39
24,49
24,83
25,08
25,11
25,13
25,17
25,11
25,35
25,36
25,35
25,34
25,39
25,58
25,71
25,66
25,74
25,73
25,72
25,55
25,71
25,92
25,93
26
26,02
26,08
26,17
26,18
26,21
26,28
26,34
26,17
26,38
26,36
26,27
26,26
26,49
26,99
27,14
27,1
27,01
26,93
26,97
26,35
26,93
26,92
27,05
27,01
26,9
26,93
26,95
26,89
26,7
26,55
26,48
25,71
26,17
26,31
26,58
26,49
26,57
26,6
26,69
26,59
26,75
26,79
26,8
26,62




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197169&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197169&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197169&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'Gertrude Mary Cox' @ cox.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0524.3764912432220.203543321986144
0.0624.46776265350060.232798233351446
0.0724.55940614878030.265544744701835
0.0824.65293552517080.287860033741989
0.0924.74655669418770.292673223873572
0.124.83671706788060.280201817397186
0.1124.91994203175840.255737809585889
0.1224.99406114259280.226494203100616
0.1325.05857400678490.199000023898168
0.1425.11435541194770.177297510915897
0.1525.16306313101370.162705904516023
0.1625.20656105607340.154393608112367
0.1725.24652595297150.150634610748345
0.1825.28426697342540.149830729685341
0.1925.32070292999190.15088236116696
0.225.35641873999590.152974672941449
0.2125.3917394826860.155493307512005
0.2225.42679222112220.157769209471319
0.2325.46155257014790.159188700567682
0.2425.49588618692220.159229412485843
0.2525.52959542344290.157670578248739
0.2625.56247388595040.154628695026427
0.2725.59436304119660.150624520916157
0.2825.62519985617990.146398616356455
0.2925.65504444906090.142822068423632
0.325.68408108041780.14070494591184
0.3125.71259234907710.140585609199325
0.3225.74091275958080.142579880228426
0.3325.76937207665130.14639537888479
0.3425.79824022732370.151406644716609
0.3525.82768406164980.156779556249838
0.3625.857742831580.161693219699748
0.3725.88832490527980.165399961987179
0.3825.91922408366030.167348638162926
0.3925.95015073715660.167261691351908
0.425.98077125345170.165028400172551
0.4126.01074901397740.160798425862328
0.4226.03978103628330.15496861884572
0.4326.06762610584870.147846417900537
0.4426.09412221731050.140063057739361
0.4526.11919305773330.132067322818381
0.4626.14284481360190.124299697870675
0.4726.16515561268780.117165273054232
0.4826.18626037563960.110924361218208
0.4926.20633379160930.105813922514218
0.526.22557365593490.101822642461993
0.5126.24418607231950.0989742751086888
0.5226.26237320999340.0972047567565264
0.5326.28032359912830.0964394515676953
0.5426.29820449094730.0964987592269658
0.5526.31615568065650.0972645901471669
0.5626.33428438205170.0984636061401257
0.5726.35266115600490.0999586238913199
0.5826.37131737168180.101489296892832
0.5926.39024503954780.10282200757527
0.626.40939994827640.103724549856853
0.6126.42870878446220.104015244518564
0.6226.4480803307270.103657370833234
0.6326.46742003471030.102608556096798
0.6426.48664639797680.10103780684059
0.6526.5057069564910.0990813083431134
0.6626.52459129759670.0970578633373343
0.6726.5433386999360.0952931238418783
0.6826.56203861059570.094088354251767
0.6926.58082319465990.0936658483488372
0.726.5998524149330.0941816670261118
0.7126.6192932754240.0956109652046018
0.7226.63929574944620.0977892451763921
0.7326.65996834901250.100376403574999
0.7426.68135624916440.103055263193372
0.7526.70342447986640.105292232515337
0.7626.72604815900610.106720100039786
0.7726.74901127554460.106909250653118
0.7826.77201522202410.105525511570562
0.7926.79469798473070.102357590722848
0.826.81666429611180.0973007619919442
0.8126.83752575757320.0904773512986478
0.8226.85694776325720.0822240206575274
0.8326.87469723694520.0730382022115032
0.8426.89068251603840.06357874883048
0.8526.90497539831740.0546296650446271
0.8626.91780673498530.0469207731451983
0.8726.92953195024720.0410292465682776
0.8826.9405715176930.0371671077813354
0.8926.95134232358620.0351323116952135
0.926.96220568560410.0342949253635478
0.9126.97346101554520.034023788701333
0.9226.98540343553880.0339298415468466
0.9326.99843325139880.0342247343545626
0.9427.01315825980750.0356186106061791
0.9527.03038676314080.0386882581005029

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.05 & 24.376491243222 & 0.203543321986144 \tabularnewline
0.06 & 24.4677626535006 & 0.232798233351446 \tabularnewline
0.07 & 24.5594061487803 & 0.265544744701835 \tabularnewline
0.08 & 24.6529355251708 & 0.287860033741989 \tabularnewline
0.09 & 24.7465566941877 & 0.292673223873572 \tabularnewline
0.1 & 24.8367170678806 & 0.280201817397186 \tabularnewline
0.11 & 24.9199420317584 & 0.255737809585889 \tabularnewline
0.12 & 24.9940611425928 & 0.226494203100616 \tabularnewline
0.13 & 25.0585740067849 & 0.199000023898168 \tabularnewline
0.14 & 25.1143554119477 & 0.177297510915897 \tabularnewline
0.15 & 25.1630631310137 & 0.162705904516023 \tabularnewline
0.16 & 25.2065610560734 & 0.154393608112367 \tabularnewline
0.17 & 25.2465259529715 & 0.150634610748345 \tabularnewline
0.18 & 25.2842669734254 & 0.149830729685341 \tabularnewline
0.19 & 25.3207029299919 & 0.15088236116696 \tabularnewline
0.2 & 25.3564187399959 & 0.152974672941449 \tabularnewline
0.21 & 25.391739482686 & 0.155493307512005 \tabularnewline
0.22 & 25.4267922211222 & 0.157769209471319 \tabularnewline
0.23 & 25.4615525701479 & 0.159188700567682 \tabularnewline
0.24 & 25.4958861869222 & 0.159229412485843 \tabularnewline
0.25 & 25.5295954234429 & 0.157670578248739 \tabularnewline
0.26 & 25.5624738859504 & 0.154628695026427 \tabularnewline
0.27 & 25.5943630411966 & 0.150624520916157 \tabularnewline
0.28 & 25.6251998561799 & 0.146398616356455 \tabularnewline
0.29 & 25.6550444490609 & 0.142822068423632 \tabularnewline
0.3 & 25.6840810804178 & 0.14070494591184 \tabularnewline
0.31 & 25.7125923490771 & 0.140585609199325 \tabularnewline
0.32 & 25.7409127595808 & 0.142579880228426 \tabularnewline
0.33 & 25.7693720766513 & 0.14639537888479 \tabularnewline
0.34 & 25.7982402273237 & 0.151406644716609 \tabularnewline
0.35 & 25.8276840616498 & 0.156779556249838 \tabularnewline
0.36 & 25.85774283158 & 0.161693219699748 \tabularnewline
0.37 & 25.8883249052798 & 0.165399961987179 \tabularnewline
0.38 & 25.9192240836603 & 0.167348638162926 \tabularnewline
0.39 & 25.9501507371566 & 0.167261691351908 \tabularnewline
0.4 & 25.9807712534517 & 0.165028400172551 \tabularnewline
0.41 & 26.0107490139774 & 0.160798425862328 \tabularnewline
0.42 & 26.0397810362833 & 0.15496861884572 \tabularnewline
0.43 & 26.0676261058487 & 0.147846417900537 \tabularnewline
0.44 & 26.0941222173105 & 0.140063057739361 \tabularnewline
0.45 & 26.1191930577333 & 0.132067322818381 \tabularnewline
0.46 & 26.1428448136019 & 0.124299697870675 \tabularnewline
0.47 & 26.1651556126878 & 0.117165273054232 \tabularnewline
0.48 & 26.1862603756396 & 0.110924361218208 \tabularnewline
0.49 & 26.2063337916093 & 0.105813922514218 \tabularnewline
0.5 & 26.2255736559349 & 0.101822642461993 \tabularnewline
0.51 & 26.2441860723195 & 0.0989742751086888 \tabularnewline
0.52 & 26.2623732099934 & 0.0972047567565264 \tabularnewline
0.53 & 26.2803235991283 & 0.0964394515676953 \tabularnewline
0.54 & 26.2982044909473 & 0.0964987592269658 \tabularnewline
0.55 & 26.3161556806565 & 0.0972645901471669 \tabularnewline
0.56 & 26.3342843820517 & 0.0984636061401257 \tabularnewline
0.57 & 26.3526611560049 & 0.0999586238913199 \tabularnewline
0.58 & 26.3713173716818 & 0.101489296892832 \tabularnewline
0.59 & 26.3902450395478 & 0.10282200757527 \tabularnewline
0.6 & 26.4093999482764 & 0.103724549856853 \tabularnewline
0.61 & 26.4287087844622 & 0.104015244518564 \tabularnewline
0.62 & 26.448080330727 & 0.103657370833234 \tabularnewline
0.63 & 26.4674200347103 & 0.102608556096798 \tabularnewline
0.64 & 26.4866463979768 & 0.10103780684059 \tabularnewline
0.65 & 26.505706956491 & 0.0990813083431134 \tabularnewline
0.66 & 26.5245912975967 & 0.0970578633373343 \tabularnewline
0.67 & 26.543338699936 & 0.0952931238418783 \tabularnewline
0.68 & 26.5620386105957 & 0.094088354251767 \tabularnewline
0.69 & 26.5808231946599 & 0.0936658483488372 \tabularnewline
0.7 & 26.599852414933 & 0.0941816670261118 \tabularnewline
0.71 & 26.619293275424 & 0.0956109652046018 \tabularnewline
0.72 & 26.6392957494462 & 0.0977892451763921 \tabularnewline
0.73 & 26.6599683490125 & 0.100376403574999 \tabularnewline
0.74 & 26.6813562491644 & 0.103055263193372 \tabularnewline
0.75 & 26.7034244798664 & 0.105292232515337 \tabularnewline
0.76 & 26.7260481590061 & 0.106720100039786 \tabularnewline
0.77 & 26.7490112755446 & 0.106909250653118 \tabularnewline
0.78 & 26.7720152220241 & 0.105525511570562 \tabularnewline
0.79 & 26.7946979847307 & 0.102357590722848 \tabularnewline
0.8 & 26.8166642961118 & 0.0973007619919442 \tabularnewline
0.81 & 26.8375257575732 & 0.0904773512986478 \tabularnewline
0.82 & 26.8569477632572 & 0.0822240206575274 \tabularnewline
0.83 & 26.8746972369452 & 0.0730382022115032 \tabularnewline
0.84 & 26.8906825160384 & 0.06357874883048 \tabularnewline
0.85 & 26.9049753983174 & 0.0546296650446271 \tabularnewline
0.86 & 26.9178067349853 & 0.0469207731451983 \tabularnewline
0.87 & 26.9295319502472 & 0.0410292465682776 \tabularnewline
0.88 & 26.940571517693 & 0.0371671077813354 \tabularnewline
0.89 & 26.9513423235862 & 0.0351323116952135 \tabularnewline
0.9 & 26.9622056856041 & 0.0342949253635478 \tabularnewline
0.91 & 26.9734610155452 & 0.034023788701333 \tabularnewline
0.92 & 26.9854034355388 & 0.0339298415468466 \tabularnewline
0.93 & 26.9984332513988 & 0.0342247343545626 \tabularnewline
0.94 & 27.0131582598075 & 0.0356186106061791 \tabularnewline
0.95 & 27.0303867631408 & 0.0386882581005029 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197169&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.05[/C][C]24.376491243222[/C][C]0.203543321986144[/C][/ROW]
[ROW][C]0.06[/C][C]24.4677626535006[/C][C]0.232798233351446[/C][/ROW]
[ROW][C]0.07[/C][C]24.5594061487803[/C][C]0.265544744701835[/C][/ROW]
[ROW][C]0.08[/C][C]24.6529355251708[/C][C]0.287860033741989[/C][/ROW]
[ROW][C]0.09[/C][C]24.7465566941877[/C][C]0.292673223873572[/C][/ROW]
[ROW][C]0.1[/C][C]24.8367170678806[/C][C]0.280201817397186[/C][/ROW]
[ROW][C]0.11[/C][C]24.9199420317584[/C][C]0.255737809585889[/C][/ROW]
[ROW][C]0.12[/C][C]24.9940611425928[/C][C]0.226494203100616[/C][/ROW]
[ROW][C]0.13[/C][C]25.0585740067849[/C][C]0.199000023898168[/C][/ROW]
[ROW][C]0.14[/C][C]25.1143554119477[/C][C]0.177297510915897[/C][/ROW]
[ROW][C]0.15[/C][C]25.1630631310137[/C][C]0.162705904516023[/C][/ROW]
[ROW][C]0.16[/C][C]25.2065610560734[/C][C]0.154393608112367[/C][/ROW]
[ROW][C]0.17[/C][C]25.2465259529715[/C][C]0.150634610748345[/C][/ROW]
[ROW][C]0.18[/C][C]25.2842669734254[/C][C]0.149830729685341[/C][/ROW]
[ROW][C]0.19[/C][C]25.3207029299919[/C][C]0.15088236116696[/C][/ROW]
[ROW][C]0.2[/C][C]25.3564187399959[/C][C]0.152974672941449[/C][/ROW]
[ROW][C]0.21[/C][C]25.391739482686[/C][C]0.155493307512005[/C][/ROW]
[ROW][C]0.22[/C][C]25.4267922211222[/C][C]0.157769209471319[/C][/ROW]
[ROW][C]0.23[/C][C]25.4615525701479[/C][C]0.159188700567682[/C][/ROW]
[ROW][C]0.24[/C][C]25.4958861869222[/C][C]0.159229412485843[/C][/ROW]
[ROW][C]0.25[/C][C]25.5295954234429[/C][C]0.157670578248739[/C][/ROW]
[ROW][C]0.26[/C][C]25.5624738859504[/C][C]0.154628695026427[/C][/ROW]
[ROW][C]0.27[/C][C]25.5943630411966[/C][C]0.150624520916157[/C][/ROW]
[ROW][C]0.28[/C][C]25.6251998561799[/C][C]0.146398616356455[/C][/ROW]
[ROW][C]0.29[/C][C]25.6550444490609[/C][C]0.142822068423632[/C][/ROW]
[ROW][C]0.3[/C][C]25.6840810804178[/C][C]0.14070494591184[/C][/ROW]
[ROW][C]0.31[/C][C]25.7125923490771[/C][C]0.140585609199325[/C][/ROW]
[ROW][C]0.32[/C][C]25.7409127595808[/C][C]0.142579880228426[/C][/ROW]
[ROW][C]0.33[/C][C]25.7693720766513[/C][C]0.14639537888479[/C][/ROW]
[ROW][C]0.34[/C][C]25.7982402273237[/C][C]0.151406644716609[/C][/ROW]
[ROW][C]0.35[/C][C]25.8276840616498[/C][C]0.156779556249838[/C][/ROW]
[ROW][C]0.36[/C][C]25.85774283158[/C][C]0.161693219699748[/C][/ROW]
[ROW][C]0.37[/C][C]25.8883249052798[/C][C]0.165399961987179[/C][/ROW]
[ROW][C]0.38[/C][C]25.9192240836603[/C][C]0.167348638162926[/C][/ROW]
[ROW][C]0.39[/C][C]25.9501507371566[/C][C]0.167261691351908[/C][/ROW]
[ROW][C]0.4[/C][C]25.9807712534517[/C][C]0.165028400172551[/C][/ROW]
[ROW][C]0.41[/C][C]26.0107490139774[/C][C]0.160798425862328[/C][/ROW]
[ROW][C]0.42[/C][C]26.0397810362833[/C][C]0.15496861884572[/C][/ROW]
[ROW][C]0.43[/C][C]26.0676261058487[/C][C]0.147846417900537[/C][/ROW]
[ROW][C]0.44[/C][C]26.0941222173105[/C][C]0.140063057739361[/C][/ROW]
[ROW][C]0.45[/C][C]26.1191930577333[/C][C]0.132067322818381[/C][/ROW]
[ROW][C]0.46[/C][C]26.1428448136019[/C][C]0.124299697870675[/C][/ROW]
[ROW][C]0.47[/C][C]26.1651556126878[/C][C]0.117165273054232[/C][/ROW]
[ROW][C]0.48[/C][C]26.1862603756396[/C][C]0.110924361218208[/C][/ROW]
[ROW][C]0.49[/C][C]26.2063337916093[/C][C]0.105813922514218[/C][/ROW]
[ROW][C]0.5[/C][C]26.2255736559349[/C][C]0.101822642461993[/C][/ROW]
[ROW][C]0.51[/C][C]26.2441860723195[/C][C]0.0989742751086888[/C][/ROW]
[ROW][C]0.52[/C][C]26.2623732099934[/C][C]0.0972047567565264[/C][/ROW]
[ROW][C]0.53[/C][C]26.2803235991283[/C][C]0.0964394515676953[/C][/ROW]
[ROW][C]0.54[/C][C]26.2982044909473[/C][C]0.0964987592269658[/C][/ROW]
[ROW][C]0.55[/C][C]26.3161556806565[/C][C]0.0972645901471669[/C][/ROW]
[ROW][C]0.56[/C][C]26.3342843820517[/C][C]0.0984636061401257[/C][/ROW]
[ROW][C]0.57[/C][C]26.3526611560049[/C][C]0.0999586238913199[/C][/ROW]
[ROW][C]0.58[/C][C]26.3713173716818[/C][C]0.101489296892832[/C][/ROW]
[ROW][C]0.59[/C][C]26.3902450395478[/C][C]0.10282200757527[/C][/ROW]
[ROW][C]0.6[/C][C]26.4093999482764[/C][C]0.103724549856853[/C][/ROW]
[ROW][C]0.61[/C][C]26.4287087844622[/C][C]0.104015244518564[/C][/ROW]
[ROW][C]0.62[/C][C]26.448080330727[/C][C]0.103657370833234[/C][/ROW]
[ROW][C]0.63[/C][C]26.4674200347103[/C][C]0.102608556096798[/C][/ROW]
[ROW][C]0.64[/C][C]26.4866463979768[/C][C]0.10103780684059[/C][/ROW]
[ROW][C]0.65[/C][C]26.505706956491[/C][C]0.0990813083431134[/C][/ROW]
[ROW][C]0.66[/C][C]26.5245912975967[/C][C]0.0970578633373343[/C][/ROW]
[ROW][C]0.67[/C][C]26.543338699936[/C][C]0.0952931238418783[/C][/ROW]
[ROW][C]0.68[/C][C]26.5620386105957[/C][C]0.094088354251767[/C][/ROW]
[ROW][C]0.69[/C][C]26.5808231946599[/C][C]0.0936658483488372[/C][/ROW]
[ROW][C]0.7[/C][C]26.599852414933[/C][C]0.0941816670261118[/C][/ROW]
[ROW][C]0.71[/C][C]26.619293275424[/C][C]0.0956109652046018[/C][/ROW]
[ROW][C]0.72[/C][C]26.6392957494462[/C][C]0.0977892451763921[/C][/ROW]
[ROW][C]0.73[/C][C]26.6599683490125[/C][C]0.100376403574999[/C][/ROW]
[ROW][C]0.74[/C][C]26.6813562491644[/C][C]0.103055263193372[/C][/ROW]
[ROW][C]0.75[/C][C]26.7034244798664[/C][C]0.105292232515337[/C][/ROW]
[ROW][C]0.76[/C][C]26.7260481590061[/C][C]0.106720100039786[/C][/ROW]
[ROW][C]0.77[/C][C]26.7490112755446[/C][C]0.106909250653118[/C][/ROW]
[ROW][C]0.78[/C][C]26.7720152220241[/C][C]0.105525511570562[/C][/ROW]
[ROW][C]0.79[/C][C]26.7946979847307[/C][C]0.102357590722848[/C][/ROW]
[ROW][C]0.8[/C][C]26.8166642961118[/C][C]0.0973007619919442[/C][/ROW]
[ROW][C]0.81[/C][C]26.8375257575732[/C][C]0.0904773512986478[/C][/ROW]
[ROW][C]0.82[/C][C]26.8569477632572[/C][C]0.0822240206575274[/C][/ROW]
[ROW][C]0.83[/C][C]26.8746972369452[/C][C]0.0730382022115032[/C][/ROW]
[ROW][C]0.84[/C][C]26.8906825160384[/C][C]0.06357874883048[/C][/ROW]
[ROW][C]0.85[/C][C]26.9049753983174[/C][C]0.0546296650446271[/C][/ROW]
[ROW][C]0.86[/C][C]26.9178067349853[/C][C]0.0469207731451983[/C][/ROW]
[ROW][C]0.87[/C][C]26.9295319502472[/C][C]0.0410292465682776[/C][/ROW]
[ROW][C]0.88[/C][C]26.940571517693[/C][C]0.0371671077813354[/C][/ROW]
[ROW][C]0.89[/C][C]26.9513423235862[/C][C]0.0351323116952135[/C][/ROW]
[ROW][C]0.9[/C][C]26.9622056856041[/C][C]0.0342949253635478[/C][/ROW]
[ROW][C]0.91[/C][C]26.9734610155452[/C][C]0.034023788701333[/C][/ROW]
[ROW][C]0.92[/C][C]26.9854034355388[/C][C]0.0339298415468466[/C][/ROW]
[ROW][C]0.93[/C][C]26.9984332513988[/C][C]0.0342247343545626[/C][/ROW]
[ROW][C]0.94[/C][C]27.0131582598075[/C][C]0.0356186106061791[/C][/ROW]
[ROW][C]0.95[/C][C]27.0303867631408[/C][C]0.0386882581005029[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197169&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197169&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
0.0524.3764912432220.203543321986144
0.0624.46776265350060.232798233351446
0.0724.55940614878030.265544744701835
0.0824.65293552517080.287860033741989
0.0924.74655669418770.292673223873572
0.124.83671706788060.280201817397186
0.1124.91994203175840.255737809585889
0.1224.99406114259280.226494203100616
0.1325.05857400678490.199000023898168
0.1425.11435541194770.177297510915897
0.1525.16306313101370.162705904516023
0.1625.20656105607340.154393608112367
0.1725.24652595297150.150634610748345
0.1825.28426697342540.149830729685341
0.1925.32070292999190.15088236116696
0.225.35641873999590.152974672941449
0.2125.3917394826860.155493307512005
0.2225.42679222112220.157769209471319
0.2325.46155257014790.159188700567682
0.2425.49588618692220.159229412485843
0.2525.52959542344290.157670578248739
0.2625.56247388595040.154628695026427
0.2725.59436304119660.150624520916157
0.2825.62519985617990.146398616356455
0.2925.65504444906090.142822068423632
0.325.68408108041780.14070494591184
0.3125.71259234907710.140585609199325
0.3225.74091275958080.142579880228426
0.3325.76937207665130.14639537888479
0.3425.79824022732370.151406644716609
0.3525.82768406164980.156779556249838
0.3625.857742831580.161693219699748
0.3725.88832490527980.165399961987179
0.3825.91922408366030.167348638162926
0.3925.95015073715660.167261691351908
0.425.98077125345170.165028400172551
0.4126.01074901397740.160798425862328
0.4226.03978103628330.15496861884572
0.4326.06762610584870.147846417900537
0.4426.09412221731050.140063057739361
0.4526.11919305773330.132067322818381
0.4626.14284481360190.124299697870675
0.4726.16515561268780.117165273054232
0.4826.18626037563960.110924361218208
0.4926.20633379160930.105813922514218
0.526.22557365593490.101822642461993
0.5126.24418607231950.0989742751086888
0.5226.26237320999340.0972047567565264
0.5326.28032359912830.0964394515676953
0.5426.29820449094730.0964987592269658
0.5526.31615568065650.0972645901471669
0.5626.33428438205170.0984636061401257
0.5726.35266115600490.0999586238913199
0.5826.37131737168180.101489296892832
0.5926.39024503954780.10282200757527
0.626.40939994827640.103724549856853
0.6126.42870878446220.104015244518564
0.6226.4480803307270.103657370833234
0.6326.46742003471030.102608556096798
0.6426.48664639797680.10103780684059
0.6526.5057069564910.0990813083431134
0.6626.52459129759670.0970578633373343
0.6726.5433386999360.0952931238418783
0.6826.56203861059570.094088354251767
0.6926.58082319465990.0936658483488372
0.726.5998524149330.0941816670261118
0.7126.6192932754240.0956109652046018
0.7226.63929574944620.0977892451763921
0.7326.65996834901250.100376403574999
0.7426.68135624916440.103055263193372
0.7526.70342447986640.105292232515337
0.7626.72604815900610.106720100039786
0.7726.74901127554460.106909250653118
0.7826.77201522202410.105525511570562
0.7926.79469798473070.102357590722848
0.826.81666429611180.0973007619919442
0.8126.83752575757320.0904773512986478
0.8226.85694776325720.0822240206575274
0.8326.87469723694520.0730382022115032
0.8426.89068251603840.06357874883048
0.8526.90497539831740.0546296650446271
0.8626.91780673498530.0469207731451983
0.8726.92953195024720.0410292465682776
0.8826.9405715176930.0371671077813354
0.8926.95134232358620.0351323116952135
0.926.96220568560410.0342949253635478
0.9126.97346101554520.034023788701333
0.9226.98540343553880.0339298415468466
0.9326.99843325139880.0342247343545626
0.9427.01315825980750.0356186106061791
0.9527.03038676314080.0386882581005029



Parameters (Session):
par1 = 0.05 ; par2 = 0.95 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.05 ; par2 = 0.95 ; 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')