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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 07 Mar 2010 13:20:08 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/07/t1267993395calzby2ogg3jxdx.htm/, Retrieved Fri, 28 Jan 2022 08:21:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74093, Retrieved Fri, 28 Jan 2022 08:21:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact85
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Wisselkoers Harre...] [2010-03-07 20:20:08] [ee335b92128d1ec04d3c346475765c6a] [Current]
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Dataseries X:
0,8833
0,87
0,8758
0,8858
0,917
0,9554
0,9922
0,9778
0,9808
0,9811
1,0014
1,0183
1,0622
1,0773
1,0807
1,0848
1,1582
1,1663
1,1372
1,1139
1,1222
1,1692
1,1702
1,2286
1,2613
1,2646
1,2262
1,1985
1,2007
1,2138
1,2266
1,2176
1,2218
1,249
1,2991
1,3408
1,3119
1,3014
1,3201
1,2938
1,2694
1,2165
1,2037
1,2292
1,2256
1,2015
1,1786
1,1856
1,2103
1,1938
1,202
1,2271
1,277
1,265
1,2684
1,2811
1,2727
1,2611
1,2881
1,3213
1,2999
1,3074
1,3242
1,3516
1,3511
1,3419
1,3716
1,3622
1,3896
1,4227
1,4684
1,457
1,4718
1,4748
1,5527
1,575
1,5557
1,5553
1,577
1,4975
1,4369
1,3322
1,2732
1,3449
1,3239
1,2785
1,305
1,319
1,365
1,4016
1,4088
1,4268
1,4562
1,4816
1,4914
1,4614
1,4272




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74093&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74093&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74093&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.8739126345257870.00788689390410164
0.020.8818776550728220.0152370326727001
0.030.8938172795333940.0257694916271751
0.040.9094634049955580.034729220434458
0.050.9273474584098260.0387344058981969
0.060.9453963633858250.0380051590424785
0.070.9621259248661550.0354173737333429
0.080.9771975642648550.0341049457074548
0.090.9911596483907080.0354977867548113
0.11.004837724209550.0389513834727046
0.111.018839980104540.0429360280412003
0.121.033365626061610.0461899067037156
0.131.048266151559640.0480970716268445
0.141.063217029925340.0486296122510164
0.151.077877031818700.0480867707901912
0.161.091976795837970.0468177811016815
0.171.105337168709170.0450462902780086
0.181.117848207485910.0428707858146076
0.191.129441525556030.0403138665557282
0.21.140074300561860.0374318540323287
0.211.149727022595030.0343333744134779
0.221.158407762101150.031173720513566
0.231.166154851961300.0281082147729477
0.241.173033993696290.0252585680011428
0.251.179130472282510.0227029777523647
0.261.184539641416660.0204649732866796
0.271.189358722750460.0185442808391015
0.281.193681386691520.0169344248289626
0.291.197594974421940.0156182845274848
0.31.201179428208440.0145864880660762
0.311.204507076905300.0138166830278755
0.321.207642921810720.0132904964937255
0.331.210645457824400.0129812696704714
0.341.213568066063640.0128757032639588
0.351.216460679543990.012975893358408
0.361.219371028095590.0132850376836065
0.371.222344615345830.0138068233529976
0.381.225422835383150.0145227385094508
0.391.228639256478310.0153868984071967
0.41.232014860836210.0163213654977391
0.411.235553630170580.0172216305965954
0.421.239240049653710.0179759177216974
0.431.243039757606020.0184927335849565
0.441.246903776852190.0187054851572196
0.451.250775771205780.0186009549659892
0.461.254600896925880.0182121581035964
0.471.258334343467220.0176183683615631
0.481.261947722151800.0169214766313510
0.491.265432027693080.0162321900664621
0.51.268796773664550.0156496523365962
0.511.272065819420940.0152373298103042
0.521.275271109499960.0150153246195494
0.531.278445875425890.0149622917715695
0.541.281618767596750.0150353492601324
0.551.284809970379750.0151714022684355
0.561.288029759956630.0153167917825348
0.571.291279366416980.0154239865619881
0.581.294553545714990.0154734365222845
0.591.297844037797110.0154615427623899
0.61.301143093527000.0154028538617067
0.611.304446438575860.0153199962580743
0.621.307755314856450.0152481123812361
0.631.311077509580030.015218915363791
0.641.314427492808820.0152633754865377
0.651.317825923913680.0154026922420614
0.661.321298868912650.0156623852643318
0.671.32487710075030.0160523006251798
0.681.328595808673300.0165840706389364
0.691.332494871973460.0172691282798087
0.71.33661952622350.0181282787310258
0.711.341020810698640.0191800053468885
0.721.345754787509310.0204469126024705
0.731.350879403652940.0219334669692722
0.741.356448251401220.0236072197192912
0.751.362501441191520.0253920486094196
0.761.369055131312510.0271555433049257
0.771.376092462533260.0287355287175642
0.781.383559072534790.0299611102564081
0.791.391365511892580.0306927619898916
0.81.399396756864020.0308566585595318
0.811.407526349445080.0304573178381035
0.821.415630809322950.0295653602351856
0.831.423600153634010.0282866853301015
0.841.431343066799720.0267235680137404
0.851.438789507587380.0249540565167927
0.861.445897204191720.0230516259619810
0.871.45266941568650.0211351146317458
0.881.459188401978410.0194307307496806
0.891.465661834866000.0183198134038887
0.91.472466460406290.0183282446797584

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.873912634525787 & 0.00788689390410164 \tabularnewline
0.02 & 0.881877655072822 & 0.0152370326727001 \tabularnewline
0.03 & 0.893817279533394 & 0.0257694916271751 \tabularnewline
0.04 & 0.909463404995558 & 0.034729220434458 \tabularnewline
0.05 & 0.927347458409826 & 0.0387344058981969 \tabularnewline
0.06 & 0.945396363385825 & 0.0380051590424785 \tabularnewline
0.07 & 0.962125924866155 & 0.0354173737333429 \tabularnewline
0.08 & 0.977197564264855 & 0.0341049457074548 \tabularnewline
0.09 & 0.991159648390708 & 0.0354977867548113 \tabularnewline
0.1 & 1.00483772420955 & 0.0389513834727046 \tabularnewline
0.11 & 1.01883998010454 & 0.0429360280412003 \tabularnewline
0.12 & 1.03336562606161 & 0.0461899067037156 \tabularnewline
0.13 & 1.04826615155964 & 0.0480970716268445 \tabularnewline
0.14 & 1.06321702992534 & 0.0486296122510164 \tabularnewline
0.15 & 1.07787703181870 & 0.0480867707901912 \tabularnewline
0.16 & 1.09197679583797 & 0.0468177811016815 \tabularnewline
0.17 & 1.10533716870917 & 0.0450462902780086 \tabularnewline
0.18 & 1.11784820748591 & 0.0428707858146076 \tabularnewline
0.19 & 1.12944152555603 & 0.0403138665557282 \tabularnewline
0.2 & 1.14007430056186 & 0.0374318540323287 \tabularnewline
0.21 & 1.14972702259503 & 0.0343333744134779 \tabularnewline
0.22 & 1.15840776210115 & 0.031173720513566 \tabularnewline
0.23 & 1.16615485196130 & 0.0281082147729477 \tabularnewline
0.24 & 1.17303399369629 & 0.0252585680011428 \tabularnewline
0.25 & 1.17913047228251 & 0.0227029777523647 \tabularnewline
0.26 & 1.18453964141666 & 0.0204649732866796 \tabularnewline
0.27 & 1.18935872275046 & 0.0185442808391015 \tabularnewline
0.28 & 1.19368138669152 & 0.0169344248289626 \tabularnewline
0.29 & 1.19759497442194 & 0.0156182845274848 \tabularnewline
0.3 & 1.20117942820844 & 0.0145864880660762 \tabularnewline
0.31 & 1.20450707690530 & 0.0138166830278755 \tabularnewline
0.32 & 1.20764292181072 & 0.0132904964937255 \tabularnewline
0.33 & 1.21064545782440 & 0.0129812696704714 \tabularnewline
0.34 & 1.21356806606364 & 0.0128757032639588 \tabularnewline
0.35 & 1.21646067954399 & 0.012975893358408 \tabularnewline
0.36 & 1.21937102809559 & 0.0132850376836065 \tabularnewline
0.37 & 1.22234461534583 & 0.0138068233529976 \tabularnewline
0.38 & 1.22542283538315 & 0.0145227385094508 \tabularnewline
0.39 & 1.22863925647831 & 0.0153868984071967 \tabularnewline
0.4 & 1.23201486083621 & 0.0163213654977391 \tabularnewline
0.41 & 1.23555363017058 & 0.0172216305965954 \tabularnewline
0.42 & 1.23924004965371 & 0.0179759177216974 \tabularnewline
0.43 & 1.24303975760602 & 0.0184927335849565 \tabularnewline
0.44 & 1.24690377685219 & 0.0187054851572196 \tabularnewline
0.45 & 1.25077577120578 & 0.0186009549659892 \tabularnewline
0.46 & 1.25460089692588 & 0.0182121581035964 \tabularnewline
0.47 & 1.25833434346722 & 0.0176183683615631 \tabularnewline
0.48 & 1.26194772215180 & 0.0169214766313510 \tabularnewline
0.49 & 1.26543202769308 & 0.0162321900664621 \tabularnewline
0.5 & 1.26879677366455 & 0.0156496523365962 \tabularnewline
0.51 & 1.27206581942094 & 0.0152373298103042 \tabularnewline
0.52 & 1.27527110949996 & 0.0150153246195494 \tabularnewline
0.53 & 1.27844587542589 & 0.0149622917715695 \tabularnewline
0.54 & 1.28161876759675 & 0.0150353492601324 \tabularnewline
0.55 & 1.28480997037975 & 0.0151714022684355 \tabularnewline
0.56 & 1.28802975995663 & 0.0153167917825348 \tabularnewline
0.57 & 1.29127936641698 & 0.0154239865619881 \tabularnewline
0.58 & 1.29455354571499 & 0.0154734365222845 \tabularnewline
0.59 & 1.29784403779711 & 0.0154615427623899 \tabularnewline
0.6 & 1.30114309352700 & 0.0154028538617067 \tabularnewline
0.61 & 1.30444643857586 & 0.0153199962580743 \tabularnewline
0.62 & 1.30775531485645 & 0.0152481123812361 \tabularnewline
0.63 & 1.31107750958003 & 0.015218915363791 \tabularnewline
0.64 & 1.31442749280882 & 0.0152633754865377 \tabularnewline
0.65 & 1.31782592391368 & 0.0154026922420614 \tabularnewline
0.66 & 1.32129886891265 & 0.0156623852643318 \tabularnewline
0.67 & 1.3248771007503 & 0.0160523006251798 \tabularnewline
0.68 & 1.32859580867330 & 0.0165840706389364 \tabularnewline
0.69 & 1.33249487197346 & 0.0172691282798087 \tabularnewline
0.7 & 1.3366195262235 & 0.0181282787310258 \tabularnewline
0.71 & 1.34102081069864 & 0.0191800053468885 \tabularnewline
0.72 & 1.34575478750931 & 0.0204469126024705 \tabularnewline
0.73 & 1.35087940365294 & 0.0219334669692722 \tabularnewline
0.74 & 1.35644825140122 & 0.0236072197192912 \tabularnewline
0.75 & 1.36250144119152 & 0.0253920486094196 \tabularnewline
0.76 & 1.36905513131251 & 0.0271555433049257 \tabularnewline
0.77 & 1.37609246253326 & 0.0287355287175642 \tabularnewline
0.78 & 1.38355907253479 & 0.0299611102564081 \tabularnewline
0.79 & 1.39136551189258 & 0.0306927619898916 \tabularnewline
0.8 & 1.39939675686402 & 0.0308566585595318 \tabularnewline
0.81 & 1.40752634944508 & 0.0304573178381035 \tabularnewline
0.82 & 1.41563080932295 & 0.0295653602351856 \tabularnewline
0.83 & 1.42360015363401 & 0.0282866853301015 \tabularnewline
0.84 & 1.43134306679972 & 0.0267235680137404 \tabularnewline
0.85 & 1.43878950758738 & 0.0249540565167927 \tabularnewline
0.86 & 1.44589720419172 & 0.0230516259619810 \tabularnewline
0.87 & 1.4526694156865 & 0.0211351146317458 \tabularnewline
0.88 & 1.45918840197841 & 0.0194307307496806 \tabularnewline
0.89 & 1.46566183486600 & 0.0183198134038887 \tabularnewline
0.9 & 1.47246646040629 & 0.0183282446797584 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74093&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]0.873912634525787[/C][C]0.00788689390410164[/C][/ROW]
[ROW][C]0.02[/C][C]0.881877655072822[/C][C]0.0152370326727001[/C][/ROW]
[ROW][C]0.03[/C][C]0.893817279533394[/C][C]0.0257694916271751[/C][/ROW]
[ROW][C]0.04[/C][C]0.909463404995558[/C][C]0.034729220434458[/C][/ROW]
[ROW][C]0.05[/C][C]0.927347458409826[/C][C]0.0387344058981969[/C][/ROW]
[ROW][C]0.06[/C][C]0.945396363385825[/C][C]0.0380051590424785[/C][/ROW]
[ROW][C]0.07[/C][C]0.962125924866155[/C][C]0.0354173737333429[/C][/ROW]
[ROW][C]0.08[/C][C]0.977197564264855[/C][C]0.0341049457074548[/C][/ROW]
[ROW][C]0.09[/C][C]0.991159648390708[/C][C]0.0354977867548113[/C][/ROW]
[ROW][C]0.1[/C][C]1.00483772420955[/C][C]0.0389513834727046[/C][/ROW]
[ROW][C]0.11[/C][C]1.01883998010454[/C][C]0.0429360280412003[/C][/ROW]
[ROW][C]0.12[/C][C]1.03336562606161[/C][C]0.0461899067037156[/C][/ROW]
[ROW][C]0.13[/C][C]1.04826615155964[/C][C]0.0480970716268445[/C][/ROW]
[ROW][C]0.14[/C][C]1.06321702992534[/C][C]0.0486296122510164[/C][/ROW]
[ROW][C]0.15[/C][C]1.07787703181870[/C][C]0.0480867707901912[/C][/ROW]
[ROW][C]0.16[/C][C]1.09197679583797[/C][C]0.0468177811016815[/C][/ROW]
[ROW][C]0.17[/C][C]1.10533716870917[/C][C]0.0450462902780086[/C][/ROW]
[ROW][C]0.18[/C][C]1.11784820748591[/C][C]0.0428707858146076[/C][/ROW]
[ROW][C]0.19[/C][C]1.12944152555603[/C][C]0.0403138665557282[/C][/ROW]
[ROW][C]0.2[/C][C]1.14007430056186[/C][C]0.0374318540323287[/C][/ROW]
[ROW][C]0.21[/C][C]1.14972702259503[/C][C]0.0343333744134779[/C][/ROW]
[ROW][C]0.22[/C][C]1.15840776210115[/C][C]0.031173720513566[/C][/ROW]
[ROW][C]0.23[/C][C]1.16615485196130[/C][C]0.0281082147729477[/C][/ROW]
[ROW][C]0.24[/C][C]1.17303399369629[/C][C]0.0252585680011428[/C][/ROW]
[ROW][C]0.25[/C][C]1.17913047228251[/C][C]0.0227029777523647[/C][/ROW]
[ROW][C]0.26[/C][C]1.18453964141666[/C][C]0.0204649732866796[/C][/ROW]
[ROW][C]0.27[/C][C]1.18935872275046[/C][C]0.0185442808391015[/C][/ROW]
[ROW][C]0.28[/C][C]1.19368138669152[/C][C]0.0169344248289626[/C][/ROW]
[ROW][C]0.29[/C][C]1.19759497442194[/C][C]0.0156182845274848[/C][/ROW]
[ROW][C]0.3[/C][C]1.20117942820844[/C][C]0.0145864880660762[/C][/ROW]
[ROW][C]0.31[/C][C]1.20450707690530[/C][C]0.0138166830278755[/C][/ROW]
[ROW][C]0.32[/C][C]1.20764292181072[/C][C]0.0132904964937255[/C][/ROW]
[ROW][C]0.33[/C][C]1.21064545782440[/C][C]0.0129812696704714[/C][/ROW]
[ROW][C]0.34[/C][C]1.21356806606364[/C][C]0.0128757032639588[/C][/ROW]
[ROW][C]0.35[/C][C]1.21646067954399[/C][C]0.012975893358408[/C][/ROW]
[ROW][C]0.36[/C][C]1.21937102809559[/C][C]0.0132850376836065[/C][/ROW]
[ROW][C]0.37[/C][C]1.22234461534583[/C][C]0.0138068233529976[/C][/ROW]
[ROW][C]0.38[/C][C]1.22542283538315[/C][C]0.0145227385094508[/C][/ROW]
[ROW][C]0.39[/C][C]1.22863925647831[/C][C]0.0153868984071967[/C][/ROW]
[ROW][C]0.4[/C][C]1.23201486083621[/C][C]0.0163213654977391[/C][/ROW]
[ROW][C]0.41[/C][C]1.23555363017058[/C][C]0.0172216305965954[/C][/ROW]
[ROW][C]0.42[/C][C]1.23924004965371[/C][C]0.0179759177216974[/C][/ROW]
[ROW][C]0.43[/C][C]1.24303975760602[/C][C]0.0184927335849565[/C][/ROW]
[ROW][C]0.44[/C][C]1.24690377685219[/C][C]0.0187054851572196[/C][/ROW]
[ROW][C]0.45[/C][C]1.25077577120578[/C][C]0.0186009549659892[/C][/ROW]
[ROW][C]0.46[/C][C]1.25460089692588[/C][C]0.0182121581035964[/C][/ROW]
[ROW][C]0.47[/C][C]1.25833434346722[/C][C]0.0176183683615631[/C][/ROW]
[ROW][C]0.48[/C][C]1.26194772215180[/C][C]0.0169214766313510[/C][/ROW]
[ROW][C]0.49[/C][C]1.26543202769308[/C][C]0.0162321900664621[/C][/ROW]
[ROW][C]0.5[/C][C]1.26879677366455[/C][C]0.0156496523365962[/C][/ROW]
[ROW][C]0.51[/C][C]1.27206581942094[/C][C]0.0152373298103042[/C][/ROW]
[ROW][C]0.52[/C][C]1.27527110949996[/C][C]0.0150153246195494[/C][/ROW]
[ROW][C]0.53[/C][C]1.27844587542589[/C][C]0.0149622917715695[/C][/ROW]
[ROW][C]0.54[/C][C]1.28161876759675[/C][C]0.0150353492601324[/C][/ROW]
[ROW][C]0.55[/C][C]1.28480997037975[/C][C]0.0151714022684355[/C][/ROW]
[ROW][C]0.56[/C][C]1.28802975995663[/C][C]0.0153167917825348[/C][/ROW]
[ROW][C]0.57[/C][C]1.29127936641698[/C][C]0.0154239865619881[/C][/ROW]
[ROW][C]0.58[/C][C]1.29455354571499[/C][C]0.0154734365222845[/C][/ROW]
[ROW][C]0.59[/C][C]1.29784403779711[/C][C]0.0154615427623899[/C][/ROW]
[ROW][C]0.6[/C][C]1.30114309352700[/C][C]0.0154028538617067[/C][/ROW]
[ROW][C]0.61[/C][C]1.30444643857586[/C][C]0.0153199962580743[/C][/ROW]
[ROW][C]0.62[/C][C]1.30775531485645[/C][C]0.0152481123812361[/C][/ROW]
[ROW][C]0.63[/C][C]1.31107750958003[/C][C]0.015218915363791[/C][/ROW]
[ROW][C]0.64[/C][C]1.31442749280882[/C][C]0.0152633754865377[/C][/ROW]
[ROW][C]0.65[/C][C]1.31782592391368[/C][C]0.0154026922420614[/C][/ROW]
[ROW][C]0.66[/C][C]1.32129886891265[/C][C]0.0156623852643318[/C][/ROW]
[ROW][C]0.67[/C][C]1.3248771007503[/C][C]0.0160523006251798[/C][/ROW]
[ROW][C]0.68[/C][C]1.32859580867330[/C][C]0.0165840706389364[/C][/ROW]
[ROW][C]0.69[/C][C]1.33249487197346[/C][C]0.0172691282798087[/C][/ROW]
[ROW][C]0.7[/C][C]1.3366195262235[/C][C]0.0181282787310258[/C][/ROW]
[ROW][C]0.71[/C][C]1.34102081069864[/C][C]0.0191800053468885[/C][/ROW]
[ROW][C]0.72[/C][C]1.34575478750931[/C][C]0.0204469126024705[/C][/ROW]
[ROW][C]0.73[/C][C]1.35087940365294[/C][C]0.0219334669692722[/C][/ROW]
[ROW][C]0.74[/C][C]1.35644825140122[/C][C]0.0236072197192912[/C][/ROW]
[ROW][C]0.75[/C][C]1.36250144119152[/C][C]0.0253920486094196[/C][/ROW]
[ROW][C]0.76[/C][C]1.36905513131251[/C][C]0.0271555433049257[/C][/ROW]
[ROW][C]0.77[/C][C]1.37609246253326[/C][C]0.0287355287175642[/C][/ROW]
[ROW][C]0.78[/C][C]1.38355907253479[/C][C]0.0299611102564081[/C][/ROW]
[ROW][C]0.79[/C][C]1.39136551189258[/C][C]0.0306927619898916[/C][/ROW]
[ROW][C]0.8[/C][C]1.39939675686402[/C][C]0.0308566585595318[/C][/ROW]
[ROW][C]0.81[/C][C]1.40752634944508[/C][C]0.0304573178381035[/C][/ROW]
[ROW][C]0.82[/C][C]1.41563080932295[/C][C]0.0295653602351856[/C][/ROW]
[ROW][C]0.83[/C][C]1.42360015363401[/C][C]0.0282866853301015[/C][/ROW]
[ROW][C]0.84[/C][C]1.43134306679972[/C][C]0.0267235680137404[/C][/ROW]
[ROW][C]0.85[/C][C]1.43878950758738[/C][C]0.0249540565167927[/C][/ROW]
[ROW][C]0.86[/C][C]1.44589720419172[/C][C]0.0230516259619810[/C][/ROW]
[ROW][C]0.87[/C][C]1.4526694156865[/C][C]0.0211351146317458[/C][/ROW]
[ROW][C]0.88[/C][C]1.45918840197841[/C][C]0.0194307307496806[/C][/ROW]
[ROW][C]0.89[/C][C]1.46566183486600[/C][C]0.0183198134038887[/C][/ROW]
[ROW][C]0.9[/C][C]1.47246646040629[/C][C]0.0183282446797584[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74093&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74093&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
0.010.8739126345257870.00788689390410164
0.020.8818776550728220.0152370326727001
0.030.8938172795333940.0257694916271751
0.040.9094634049955580.034729220434458
0.050.9273474584098260.0387344058981969
0.060.9453963633858250.0380051590424785
0.070.9621259248661550.0354173737333429
0.080.9771975642648550.0341049457074548
0.090.9911596483907080.0354977867548113
0.11.004837724209550.0389513834727046
0.111.018839980104540.0429360280412003
0.121.033365626061610.0461899067037156
0.131.048266151559640.0480970716268445
0.141.063217029925340.0486296122510164
0.151.077877031818700.0480867707901912
0.161.091976795837970.0468177811016815
0.171.105337168709170.0450462902780086
0.181.117848207485910.0428707858146076
0.191.129441525556030.0403138665557282
0.21.140074300561860.0374318540323287
0.211.149727022595030.0343333744134779
0.221.158407762101150.031173720513566
0.231.166154851961300.0281082147729477
0.241.173033993696290.0252585680011428
0.251.179130472282510.0227029777523647
0.261.184539641416660.0204649732866796
0.271.189358722750460.0185442808391015
0.281.193681386691520.0169344248289626
0.291.197594974421940.0156182845274848
0.31.201179428208440.0145864880660762
0.311.204507076905300.0138166830278755
0.321.207642921810720.0132904964937255
0.331.210645457824400.0129812696704714
0.341.213568066063640.0128757032639588
0.351.216460679543990.012975893358408
0.361.219371028095590.0132850376836065
0.371.222344615345830.0138068233529976
0.381.225422835383150.0145227385094508
0.391.228639256478310.0153868984071967
0.41.232014860836210.0163213654977391
0.411.235553630170580.0172216305965954
0.421.239240049653710.0179759177216974
0.431.243039757606020.0184927335849565
0.441.246903776852190.0187054851572196
0.451.250775771205780.0186009549659892
0.461.254600896925880.0182121581035964
0.471.258334343467220.0176183683615631
0.481.261947722151800.0169214766313510
0.491.265432027693080.0162321900664621
0.51.268796773664550.0156496523365962
0.511.272065819420940.0152373298103042
0.521.275271109499960.0150153246195494
0.531.278445875425890.0149622917715695
0.541.281618767596750.0150353492601324
0.551.284809970379750.0151714022684355
0.561.288029759956630.0153167917825348
0.571.291279366416980.0154239865619881
0.581.294553545714990.0154734365222845
0.591.297844037797110.0154615427623899
0.61.301143093527000.0154028538617067
0.611.304446438575860.0153199962580743
0.621.307755314856450.0152481123812361
0.631.311077509580030.015218915363791
0.641.314427492808820.0152633754865377
0.651.317825923913680.0154026922420614
0.661.321298868912650.0156623852643318
0.671.32487710075030.0160523006251798
0.681.328595808673300.0165840706389364
0.691.332494871973460.0172691282798087
0.71.33661952622350.0181282787310258
0.711.341020810698640.0191800053468885
0.721.345754787509310.0204469126024705
0.731.350879403652940.0219334669692722
0.741.356448251401220.0236072197192912
0.751.362501441191520.0253920486094196
0.761.369055131312510.0271555433049257
0.771.376092462533260.0287355287175642
0.781.383559072534790.0299611102564081
0.791.391365511892580.0306927619898916
0.81.399396756864020.0308566585595318
0.811.407526349445080.0304573178381035
0.821.415630809322950.0295653602351856
0.831.423600153634010.0282866853301015
0.841.431343066799720.0267235680137404
0.851.438789507587380.0249540565167927
0.861.445897204191720.0230516259619810
0.871.45266941568650.0211351146317458
0.881.459188401978410.0194307307496806
0.891.465661834866000.0183198134038887
0.91.472466460406290.0183282446797584



Parameters (Session):
par1 = 0.01 ; par2 = 0.9 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.9 ; 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')