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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 10 Mar 2010 06:04:07 -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/10/t1268226293p9nn085hwqg0y45.htm/, Retrieved Sun, 25 Sep 2022 11:35:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74270, Retrieved Sun, 25 Sep 2022 11:35:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact135
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Energieverbruik ] [2010-03-10 13:04:07] [dd2ef098fd65ce7e9f689caa343b799f] [Current]
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Dataseries X:
5.074
4.643
5.451
5.397
5.635
5.708
5.578
5.574
5.352
5.302
4.923
4.982
5.101
4.763
5.505
5.385
5.794
5.695
5.798
5.705
5.422
5.311
4.968
5.053
5.236
4.782
5.531
5.566
5.961
5.868
5.872
5.908
5.594
5.526
5.111
5.177
5.835
5.348
6.038
6.039
6.408
6.214
6.138
6.529
6.058
6.026
5.678
5.733
6.488
5.936
6.84
6.694
7.193
6.991
7.209
7.104
6.83
6.848
6.396
6.414
7.151
6.882
7.698
7.626
7.936
8.054
8.128
8.062
7.708
7.574
7.039
7.146
7.07
6.607
7.699
7.663
7.988
7.723
8.087
8.028
7.362




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74270&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74270&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74270&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'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.684484179033340.099373711120372
0.024.744793708343910.0900091420843378
0.034.805313524766430.0961923055617488
0.044.860694205689750.100918179709124
0.054.910464956373880.0981789921716305
0.064.954612551429060.0921215908118335
0.074.993586391619760.0875575207273014
0.085.028546465812050.0864282802208164
0.095.060961938809380.088513626590762
0.15.092121837007750.0928076909090868
0.115.122881646829130.098027690920279
0.125.153620148286280.102793989724875
0.135.184309467714980.105914020973165
0.145.214643318556220.106744801408288
0.155.244193086067420.105289876708942
0.165.272558518304110.102109879722737
0.175.299478027412740.098106809175261
0.185.324876773185110.0941896472677737
0.195.3488527451110.091032842198611
0.25.371619895301610.0889415022154068
0.215.393435587569280.0878510507982745
0.225.414536918296150.0874580506774985
0.235.435101020557160.0873571326338585
0.245.455233406208810.0872246700872824
0.255.474979518987310.0868521648929221
0.265.494349741942910.08623295658999
0.275.513347207495150.085483333831134
0.285.531989932172370.0848040528703833
0.295.550322623897150.0843895584910333
0.35.568417564335250.084392257606777
0.315.586367130078050.0848978122884094
0.325.604272151781330.0858835084497754
0.335.622230337851790.0872860590632347
0.345.640327798423140.0889865663442667
0.355.658634959868740.090904637844138
0.365.677206545390890.0929910870537064
0.375.696084298623190.0951900061819223
0.385.715300910080710.0974980127098844
0.395.73488402670070.099904901313823
0.45.754859946048190.102398220955418
0.415.775257251330280.105001928437567
0.425.796110969519610.107746497999709
0.435.817467743283740.110699106914629
0.445.839392068819710.113963602065873
0.455.861973033567670.117695445993799
0.465.8853303818540.122080513025388
0.475.909618310122380.127337393266350
0.485.93502527273320.133678636662461
0.495.961768348921590.141239415595744
0.55.990081416254760.150102263494181
0.516.020197452900670.160209226918646
0.526.052326593135510.171354694511544
0.536.086632803459490.183194438666519
0.546.123212861847030.195232960083008
0.556.16208136561350.206971394092497
0.566.203164589066120.217858960637726
0.576.246304274427520.227466072493371
0.586.291270296678780.235462552309150
0.596.337779230171530.241649292495432
0.66.385514785172520.245996191333806
0.616.434146237601870.24852518089164
0.626.483342278012730.249342682773179
0.636.532779664460210.248518647031692
0.646.58214795419430.2461262163867
0.656.631152761164990.242240228791484
0.666.679520144456720.236958043458708
0.676.727004047385790.230407406739961
0.686.773397689031310.222797448124929
0.696.818548996271860.214442522512119
0.76.862379769720030.205710664218489
0.716.904908008110570.197070756851059
0.726.946271987493440.189094880150225
0.736.986752648120340.182441242936942
0.747.026787525872720.17786542696743
0.757.066965859901330.176133711530438
0.767.10799266086960.177858972339842
0.777.15061196549310.183201579667602
0.787.195488106417930.191620813383417
0.797.243058440324370.201766129444869
0.87.293388422625430.211555618400798
0.817.346074021655970.218608409754026
0.827.400239558292450.220709313658920
0.837.454664775878680.216460476990787
0.847.508041510820910.20575929741916
0.857.559313066464840.190064349049461
0.867.608001424236560.172264227629356
0.877.654398066837860.156157824079154
0.887.699504518212290.145263359014653
0.897.744673512268170.141127649660538
0.97.79101743867990.141944788398285
0.917.838783367029790.143060100876901
0.927.886978359722650.139266831044558
0.937.933493847315960.127189246704681
0.947.975797516340850.106843370209369
0.958.011997502995280.0817577342820104
0.968.04185769278610.0576527356403939
0.978.067187510075840.0403163029521814
0.988.090776617369030.0334523683246268
0.998.112993766687870.0357671004217443

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.68448417903334 & 0.099373711120372 \tabularnewline
0.02 & 4.74479370834391 & 0.0900091420843378 \tabularnewline
0.03 & 4.80531352476643 & 0.0961923055617488 \tabularnewline
0.04 & 4.86069420568975 & 0.100918179709124 \tabularnewline
0.05 & 4.91046495637388 & 0.0981789921716305 \tabularnewline
0.06 & 4.95461255142906 & 0.0921215908118335 \tabularnewline
0.07 & 4.99358639161976 & 0.0875575207273014 \tabularnewline
0.08 & 5.02854646581205 & 0.0864282802208164 \tabularnewline
0.09 & 5.06096193880938 & 0.088513626590762 \tabularnewline
0.1 & 5.09212183700775 & 0.0928076909090868 \tabularnewline
0.11 & 5.12288164682913 & 0.098027690920279 \tabularnewline
0.12 & 5.15362014828628 & 0.102793989724875 \tabularnewline
0.13 & 5.18430946771498 & 0.105914020973165 \tabularnewline
0.14 & 5.21464331855622 & 0.106744801408288 \tabularnewline
0.15 & 5.24419308606742 & 0.105289876708942 \tabularnewline
0.16 & 5.27255851830411 & 0.102109879722737 \tabularnewline
0.17 & 5.29947802741274 & 0.098106809175261 \tabularnewline
0.18 & 5.32487677318511 & 0.0941896472677737 \tabularnewline
0.19 & 5.348852745111 & 0.091032842198611 \tabularnewline
0.2 & 5.37161989530161 & 0.0889415022154068 \tabularnewline
0.21 & 5.39343558756928 & 0.0878510507982745 \tabularnewline
0.22 & 5.41453691829615 & 0.0874580506774985 \tabularnewline
0.23 & 5.43510102055716 & 0.0873571326338585 \tabularnewline
0.24 & 5.45523340620881 & 0.0872246700872824 \tabularnewline
0.25 & 5.47497951898731 & 0.0868521648929221 \tabularnewline
0.26 & 5.49434974194291 & 0.08623295658999 \tabularnewline
0.27 & 5.51334720749515 & 0.085483333831134 \tabularnewline
0.28 & 5.53198993217237 & 0.0848040528703833 \tabularnewline
0.29 & 5.55032262389715 & 0.0843895584910333 \tabularnewline
0.3 & 5.56841756433525 & 0.084392257606777 \tabularnewline
0.31 & 5.58636713007805 & 0.0848978122884094 \tabularnewline
0.32 & 5.60427215178133 & 0.0858835084497754 \tabularnewline
0.33 & 5.62223033785179 & 0.0872860590632347 \tabularnewline
0.34 & 5.64032779842314 & 0.0889865663442667 \tabularnewline
0.35 & 5.65863495986874 & 0.090904637844138 \tabularnewline
0.36 & 5.67720654539089 & 0.0929910870537064 \tabularnewline
0.37 & 5.69608429862319 & 0.0951900061819223 \tabularnewline
0.38 & 5.71530091008071 & 0.0974980127098844 \tabularnewline
0.39 & 5.7348840267007 & 0.099904901313823 \tabularnewline
0.4 & 5.75485994604819 & 0.102398220955418 \tabularnewline
0.41 & 5.77525725133028 & 0.105001928437567 \tabularnewline
0.42 & 5.79611096951961 & 0.107746497999709 \tabularnewline
0.43 & 5.81746774328374 & 0.110699106914629 \tabularnewline
0.44 & 5.83939206881971 & 0.113963602065873 \tabularnewline
0.45 & 5.86197303356767 & 0.117695445993799 \tabularnewline
0.46 & 5.885330381854 & 0.122080513025388 \tabularnewline
0.47 & 5.90961831012238 & 0.127337393266350 \tabularnewline
0.48 & 5.9350252727332 & 0.133678636662461 \tabularnewline
0.49 & 5.96176834892159 & 0.141239415595744 \tabularnewline
0.5 & 5.99008141625476 & 0.150102263494181 \tabularnewline
0.51 & 6.02019745290067 & 0.160209226918646 \tabularnewline
0.52 & 6.05232659313551 & 0.171354694511544 \tabularnewline
0.53 & 6.08663280345949 & 0.183194438666519 \tabularnewline
0.54 & 6.12321286184703 & 0.195232960083008 \tabularnewline
0.55 & 6.1620813656135 & 0.206971394092497 \tabularnewline
0.56 & 6.20316458906612 & 0.217858960637726 \tabularnewline
0.57 & 6.24630427442752 & 0.227466072493371 \tabularnewline
0.58 & 6.29127029667878 & 0.235462552309150 \tabularnewline
0.59 & 6.33777923017153 & 0.241649292495432 \tabularnewline
0.6 & 6.38551478517252 & 0.245996191333806 \tabularnewline
0.61 & 6.43414623760187 & 0.24852518089164 \tabularnewline
0.62 & 6.48334227801273 & 0.249342682773179 \tabularnewline
0.63 & 6.53277966446021 & 0.248518647031692 \tabularnewline
0.64 & 6.5821479541943 & 0.2461262163867 \tabularnewline
0.65 & 6.63115276116499 & 0.242240228791484 \tabularnewline
0.66 & 6.67952014445672 & 0.236958043458708 \tabularnewline
0.67 & 6.72700404738579 & 0.230407406739961 \tabularnewline
0.68 & 6.77339768903131 & 0.222797448124929 \tabularnewline
0.69 & 6.81854899627186 & 0.214442522512119 \tabularnewline
0.7 & 6.86237976972003 & 0.205710664218489 \tabularnewline
0.71 & 6.90490800811057 & 0.197070756851059 \tabularnewline
0.72 & 6.94627198749344 & 0.189094880150225 \tabularnewline
0.73 & 6.98675264812034 & 0.182441242936942 \tabularnewline
0.74 & 7.02678752587272 & 0.17786542696743 \tabularnewline
0.75 & 7.06696585990133 & 0.176133711530438 \tabularnewline
0.76 & 7.1079926608696 & 0.177858972339842 \tabularnewline
0.77 & 7.1506119654931 & 0.183201579667602 \tabularnewline
0.78 & 7.19548810641793 & 0.191620813383417 \tabularnewline
0.79 & 7.24305844032437 & 0.201766129444869 \tabularnewline
0.8 & 7.29338842262543 & 0.211555618400798 \tabularnewline
0.81 & 7.34607402165597 & 0.218608409754026 \tabularnewline
0.82 & 7.40023955829245 & 0.220709313658920 \tabularnewline
0.83 & 7.45466477587868 & 0.216460476990787 \tabularnewline
0.84 & 7.50804151082091 & 0.20575929741916 \tabularnewline
0.85 & 7.55931306646484 & 0.190064349049461 \tabularnewline
0.86 & 7.60800142423656 & 0.172264227629356 \tabularnewline
0.87 & 7.65439806683786 & 0.156157824079154 \tabularnewline
0.88 & 7.69950451821229 & 0.145263359014653 \tabularnewline
0.89 & 7.74467351226817 & 0.141127649660538 \tabularnewline
0.9 & 7.7910174386799 & 0.141944788398285 \tabularnewline
0.91 & 7.83878336702979 & 0.143060100876901 \tabularnewline
0.92 & 7.88697835972265 & 0.139266831044558 \tabularnewline
0.93 & 7.93349384731596 & 0.127189246704681 \tabularnewline
0.94 & 7.97579751634085 & 0.106843370209369 \tabularnewline
0.95 & 8.01199750299528 & 0.0817577342820104 \tabularnewline
0.96 & 8.0418576927861 & 0.0576527356403939 \tabularnewline
0.97 & 8.06718751007584 & 0.0403163029521814 \tabularnewline
0.98 & 8.09077661736903 & 0.0334523683246268 \tabularnewline
0.99 & 8.11299376668787 & 0.0357671004217443 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74270&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]4.68448417903334[/C][C]0.099373711120372[/C][/ROW]
[ROW][C]0.02[/C][C]4.74479370834391[/C][C]0.0900091420843378[/C][/ROW]
[ROW][C]0.03[/C][C]4.80531352476643[/C][C]0.0961923055617488[/C][/ROW]
[ROW][C]0.04[/C][C]4.86069420568975[/C][C]0.100918179709124[/C][/ROW]
[ROW][C]0.05[/C][C]4.91046495637388[/C][C]0.0981789921716305[/C][/ROW]
[ROW][C]0.06[/C][C]4.95461255142906[/C][C]0.0921215908118335[/C][/ROW]
[ROW][C]0.07[/C][C]4.99358639161976[/C][C]0.0875575207273014[/C][/ROW]
[ROW][C]0.08[/C][C]5.02854646581205[/C][C]0.0864282802208164[/C][/ROW]
[ROW][C]0.09[/C][C]5.06096193880938[/C][C]0.088513626590762[/C][/ROW]
[ROW][C]0.1[/C][C]5.09212183700775[/C][C]0.0928076909090868[/C][/ROW]
[ROW][C]0.11[/C][C]5.12288164682913[/C][C]0.098027690920279[/C][/ROW]
[ROW][C]0.12[/C][C]5.15362014828628[/C][C]0.102793989724875[/C][/ROW]
[ROW][C]0.13[/C][C]5.18430946771498[/C][C]0.105914020973165[/C][/ROW]
[ROW][C]0.14[/C][C]5.21464331855622[/C][C]0.106744801408288[/C][/ROW]
[ROW][C]0.15[/C][C]5.24419308606742[/C][C]0.105289876708942[/C][/ROW]
[ROW][C]0.16[/C][C]5.27255851830411[/C][C]0.102109879722737[/C][/ROW]
[ROW][C]0.17[/C][C]5.29947802741274[/C][C]0.098106809175261[/C][/ROW]
[ROW][C]0.18[/C][C]5.32487677318511[/C][C]0.0941896472677737[/C][/ROW]
[ROW][C]0.19[/C][C]5.348852745111[/C][C]0.091032842198611[/C][/ROW]
[ROW][C]0.2[/C][C]5.37161989530161[/C][C]0.0889415022154068[/C][/ROW]
[ROW][C]0.21[/C][C]5.39343558756928[/C][C]0.0878510507982745[/C][/ROW]
[ROW][C]0.22[/C][C]5.41453691829615[/C][C]0.0874580506774985[/C][/ROW]
[ROW][C]0.23[/C][C]5.43510102055716[/C][C]0.0873571326338585[/C][/ROW]
[ROW][C]0.24[/C][C]5.45523340620881[/C][C]0.0872246700872824[/C][/ROW]
[ROW][C]0.25[/C][C]5.47497951898731[/C][C]0.0868521648929221[/C][/ROW]
[ROW][C]0.26[/C][C]5.49434974194291[/C][C]0.08623295658999[/C][/ROW]
[ROW][C]0.27[/C][C]5.51334720749515[/C][C]0.085483333831134[/C][/ROW]
[ROW][C]0.28[/C][C]5.53198993217237[/C][C]0.0848040528703833[/C][/ROW]
[ROW][C]0.29[/C][C]5.55032262389715[/C][C]0.0843895584910333[/C][/ROW]
[ROW][C]0.3[/C][C]5.56841756433525[/C][C]0.084392257606777[/C][/ROW]
[ROW][C]0.31[/C][C]5.58636713007805[/C][C]0.0848978122884094[/C][/ROW]
[ROW][C]0.32[/C][C]5.60427215178133[/C][C]0.0858835084497754[/C][/ROW]
[ROW][C]0.33[/C][C]5.62223033785179[/C][C]0.0872860590632347[/C][/ROW]
[ROW][C]0.34[/C][C]5.64032779842314[/C][C]0.0889865663442667[/C][/ROW]
[ROW][C]0.35[/C][C]5.65863495986874[/C][C]0.090904637844138[/C][/ROW]
[ROW][C]0.36[/C][C]5.67720654539089[/C][C]0.0929910870537064[/C][/ROW]
[ROW][C]0.37[/C][C]5.69608429862319[/C][C]0.0951900061819223[/C][/ROW]
[ROW][C]0.38[/C][C]5.71530091008071[/C][C]0.0974980127098844[/C][/ROW]
[ROW][C]0.39[/C][C]5.7348840267007[/C][C]0.099904901313823[/C][/ROW]
[ROW][C]0.4[/C][C]5.75485994604819[/C][C]0.102398220955418[/C][/ROW]
[ROW][C]0.41[/C][C]5.77525725133028[/C][C]0.105001928437567[/C][/ROW]
[ROW][C]0.42[/C][C]5.79611096951961[/C][C]0.107746497999709[/C][/ROW]
[ROW][C]0.43[/C][C]5.81746774328374[/C][C]0.110699106914629[/C][/ROW]
[ROW][C]0.44[/C][C]5.83939206881971[/C][C]0.113963602065873[/C][/ROW]
[ROW][C]0.45[/C][C]5.86197303356767[/C][C]0.117695445993799[/C][/ROW]
[ROW][C]0.46[/C][C]5.885330381854[/C][C]0.122080513025388[/C][/ROW]
[ROW][C]0.47[/C][C]5.90961831012238[/C][C]0.127337393266350[/C][/ROW]
[ROW][C]0.48[/C][C]5.9350252727332[/C][C]0.133678636662461[/C][/ROW]
[ROW][C]0.49[/C][C]5.96176834892159[/C][C]0.141239415595744[/C][/ROW]
[ROW][C]0.5[/C][C]5.99008141625476[/C][C]0.150102263494181[/C][/ROW]
[ROW][C]0.51[/C][C]6.02019745290067[/C][C]0.160209226918646[/C][/ROW]
[ROW][C]0.52[/C][C]6.05232659313551[/C][C]0.171354694511544[/C][/ROW]
[ROW][C]0.53[/C][C]6.08663280345949[/C][C]0.183194438666519[/C][/ROW]
[ROW][C]0.54[/C][C]6.12321286184703[/C][C]0.195232960083008[/C][/ROW]
[ROW][C]0.55[/C][C]6.1620813656135[/C][C]0.206971394092497[/C][/ROW]
[ROW][C]0.56[/C][C]6.20316458906612[/C][C]0.217858960637726[/C][/ROW]
[ROW][C]0.57[/C][C]6.24630427442752[/C][C]0.227466072493371[/C][/ROW]
[ROW][C]0.58[/C][C]6.29127029667878[/C][C]0.235462552309150[/C][/ROW]
[ROW][C]0.59[/C][C]6.33777923017153[/C][C]0.241649292495432[/C][/ROW]
[ROW][C]0.6[/C][C]6.38551478517252[/C][C]0.245996191333806[/C][/ROW]
[ROW][C]0.61[/C][C]6.43414623760187[/C][C]0.24852518089164[/C][/ROW]
[ROW][C]0.62[/C][C]6.48334227801273[/C][C]0.249342682773179[/C][/ROW]
[ROW][C]0.63[/C][C]6.53277966446021[/C][C]0.248518647031692[/C][/ROW]
[ROW][C]0.64[/C][C]6.5821479541943[/C][C]0.2461262163867[/C][/ROW]
[ROW][C]0.65[/C][C]6.63115276116499[/C][C]0.242240228791484[/C][/ROW]
[ROW][C]0.66[/C][C]6.67952014445672[/C][C]0.236958043458708[/C][/ROW]
[ROW][C]0.67[/C][C]6.72700404738579[/C][C]0.230407406739961[/C][/ROW]
[ROW][C]0.68[/C][C]6.77339768903131[/C][C]0.222797448124929[/C][/ROW]
[ROW][C]0.69[/C][C]6.81854899627186[/C][C]0.214442522512119[/C][/ROW]
[ROW][C]0.7[/C][C]6.86237976972003[/C][C]0.205710664218489[/C][/ROW]
[ROW][C]0.71[/C][C]6.90490800811057[/C][C]0.197070756851059[/C][/ROW]
[ROW][C]0.72[/C][C]6.94627198749344[/C][C]0.189094880150225[/C][/ROW]
[ROW][C]0.73[/C][C]6.98675264812034[/C][C]0.182441242936942[/C][/ROW]
[ROW][C]0.74[/C][C]7.02678752587272[/C][C]0.17786542696743[/C][/ROW]
[ROW][C]0.75[/C][C]7.06696585990133[/C][C]0.176133711530438[/C][/ROW]
[ROW][C]0.76[/C][C]7.1079926608696[/C][C]0.177858972339842[/C][/ROW]
[ROW][C]0.77[/C][C]7.1506119654931[/C][C]0.183201579667602[/C][/ROW]
[ROW][C]0.78[/C][C]7.19548810641793[/C][C]0.191620813383417[/C][/ROW]
[ROW][C]0.79[/C][C]7.24305844032437[/C][C]0.201766129444869[/C][/ROW]
[ROW][C]0.8[/C][C]7.29338842262543[/C][C]0.211555618400798[/C][/ROW]
[ROW][C]0.81[/C][C]7.34607402165597[/C][C]0.218608409754026[/C][/ROW]
[ROW][C]0.82[/C][C]7.40023955829245[/C][C]0.220709313658920[/C][/ROW]
[ROW][C]0.83[/C][C]7.45466477587868[/C][C]0.216460476990787[/C][/ROW]
[ROW][C]0.84[/C][C]7.50804151082091[/C][C]0.20575929741916[/C][/ROW]
[ROW][C]0.85[/C][C]7.55931306646484[/C][C]0.190064349049461[/C][/ROW]
[ROW][C]0.86[/C][C]7.60800142423656[/C][C]0.172264227629356[/C][/ROW]
[ROW][C]0.87[/C][C]7.65439806683786[/C][C]0.156157824079154[/C][/ROW]
[ROW][C]0.88[/C][C]7.69950451821229[/C][C]0.145263359014653[/C][/ROW]
[ROW][C]0.89[/C][C]7.74467351226817[/C][C]0.141127649660538[/C][/ROW]
[ROW][C]0.9[/C][C]7.7910174386799[/C][C]0.141944788398285[/C][/ROW]
[ROW][C]0.91[/C][C]7.83878336702979[/C][C]0.143060100876901[/C][/ROW]
[ROW][C]0.92[/C][C]7.88697835972265[/C][C]0.139266831044558[/C][/ROW]
[ROW][C]0.93[/C][C]7.93349384731596[/C][C]0.127189246704681[/C][/ROW]
[ROW][C]0.94[/C][C]7.97579751634085[/C][C]0.106843370209369[/C][/ROW]
[ROW][C]0.95[/C][C]8.01199750299528[/C][C]0.0817577342820104[/C][/ROW]
[ROW][C]0.96[/C][C]8.0418576927861[/C][C]0.0576527356403939[/C][/ROW]
[ROW][C]0.97[/C][C]8.06718751007584[/C][C]0.0403163029521814[/C][/ROW]
[ROW][C]0.98[/C][C]8.09077661736903[/C][C]0.0334523683246268[/C][/ROW]
[ROW][C]0.99[/C][C]8.11299376668787[/C][C]0.0357671004217443[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74270&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74270&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
0.014.684484179033340.099373711120372
0.024.744793708343910.0900091420843378
0.034.805313524766430.0961923055617488
0.044.860694205689750.100918179709124
0.054.910464956373880.0981789921716305
0.064.954612551429060.0921215908118335
0.074.993586391619760.0875575207273014
0.085.028546465812050.0864282802208164
0.095.060961938809380.088513626590762
0.15.092121837007750.0928076909090868
0.115.122881646829130.098027690920279
0.125.153620148286280.102793989724875
0.135.184309467714980.105914020973165
0.145.214643318556220.106744801408288
0.155.244193086067420.105289876708942
0.165.272558518304110.102109879722737
0.175.299478027412740.098106809175261
0.185.324876773185110.0941896472677737
0.195.3488527451110.091032842198611
0.25.371619895301610.0889415022154068
0.215.393435587569280.0878510507982745
0.225.414536918296150.0874580506774985
0.235.435101020557160.0873571326338585
0.245.455233406208810.0872246700872824
0.255.474979518987310.0868521648929221
0.265.494349741942910.08623295658999
0.275.513347207495150.085483333831134
0.285.531989932172370.0848040528703833
0.295.550322623897150.0843895584910333
0.35.568417564335250.084392257606777
0.315.586367130078050.0848978122884094
0.325.604272151781330.0858835084497754
0.335.622230337851790.0872860590632347
0.345.640327798423140.0889865663442667
0.355.658634959868740.090904637844138
0.365.677206545390890.0929910870537064
0.375.696084298623190.0951900061819223
0.385.715300910080710.0974980127098844
0.395.73488402670070.099904901313823
0.45.754859946048190.102398220955418
0.415.775257251330280.105001928437567
0.425.796110969519610.107746497999709
0.435.817467743283740.110699106914629
0.445.839392068819710.113963602065873
0.455.861973033567670.117695445993799
0.465.8853303818540.122080513025388
0.475.909618310122380.127337393266350
0.485.93502527273320.133678636662461
0.495.961768348921590.141239415595744
0.55.990081416254760.150102263494181
0.516.020197452900670.160209226918646
0.526.052326593135510.171354694511544
0.536.086632803459490.183194438666519
0.546.123212861847030.195232960083008
0.556.16208136561350.206971394092497
0.566.203164589066120.217858960637726
0.576.246304274427520.227466072493371
0.586.291270296678780.235462552309150
0.596.337779230171530.241649292495432
0.66.385514785172520.245996191333806
0.616.434146237601870.24852518089164
0.626.483342278012730.249342682773179
0.636.532779664460210.248518647031692
0.646.58214795419430.2461262163867
0.656.631152761164990.242240228791484
0.666.679520144456720.236958043458708
0.676.727004047385790.230407406739961
0.686.773397689031310.222797448124929
0.696.818548996271860.214442522512119
0.76.862379769720030.205710664218489
0.716.904908008110570.197070756851059
0.726.946271987493440.189094880150225
0.736.986752648120340.182441242936942
0.747.026787525872720.17786542696743
0.757.066965859901330.176133711530438
0.767.10799266086960.177858972339842
0.777.15061196549310.183201579667602
0.787.195488106417930.191620813383417
0.797.243058440324370.201766129444869
0.87.293388422625430.211555618400798
0.817.346074021655970.218608409754026
0.827.400239558292450.220709313658920
0.837.454664775878680.216460476990787
0.847.508041510820910.20575929741916
0.857.559313066464840.190064349049461
0.867.608001424236560.172264227629356
0.877.654398066837860.156157824079154
0.887.699504518212290.145263359014653
0.897.744673512268170.141127649660538
0.97.79101743867990.141944788398285
0.917.838783367029790.143060100876901
0.927.886978359722650.139266831044558
0.937.933493847315960.127189246704681
0.947.975797516340850.106843370209369
0.958.011997502995280.0817577342820104
0.968.04185769278610.0576527356403939
0.978.067187510075840.0403163029521814
0.988.090776617369030.0334523683246268
0.998.112993766687870.0357671004217443



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')