FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 03 Mar 2008 13:29:29 -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/2008/Mar/03/t1204576204olm1ndpnvicpj63.htm/, Retrieved Sun, 19 May 2024 14:08:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9970, Retrieved Sun, 19 May 2024 14:08:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Nieuwe & tweedeha...] [2008-03-03 20:29:29] [92ac00bd259cd41fd6a466a7e7f24e71] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102.8
103.1
103.1
103.3
103.5
103.3
103.5
103.8
103.9
103.9
104.2
104.6
104.9
105.2
105.2
105.6
105.6
106.2
106.3
106.4
106.9
107.2
107.3
107.3
107.4
107.55
107.87
108.37
108.38
107.92
108.03
108.14
108.3
108.64
108.66
109.04
109.03
109.03
109.54
109.75
109.83
109.65
109.82
109.95
110.12
110.15
110.2
109.99
110.14
110.14
110.81
110.97
110.99
109.73
109.81
110.02
110.18
110.21
110.25
110.36
110.51
110.64
110.95
111.18
111.19
111.69
111.7
111.83
111.77
111.73
112.01
111.86
112.04

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9970&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9970&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9970&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01102.8818702864530.234102968294379
0.02102.9935563895710.171644121042841
0.03103.0978667283910.150148957838072
0.04103.1878070667520.162747715318475
0.05103.2705332511390.187703750396961
0.06103.3533585014810.217713724109031
0.07103.4404954647500.252513785353549
0.08103.5342144585380.292505887717676
0.09103.6360470152720.337928468681139
0.1103.7472227373420.388482528069908
0.11103.8686783082410.443267999574634
0.12104.0009240493010.500495055723539
0.13104.1438925268510.556889226620326
0.14104.2968499228220.608855719067514
0.15104.458434862920.653607450921784
0.16104.6268413156900.689619271812528
0.17104.8000975425460.71722735911248
0.18104.9763510983380.737931027231725
0.19105.1540717892800.753655905258064
0.2105.3321235376190.766281124403256
0.21105.5097085599760.77661328062339
0.22105.6862289473370.784693464025231
0.23105.8611282016210.789527445084803
0.24106.0337682907630.790067248707472
0.25106.2033751015550.784994021716712
0.26106.3690582229390.773934233762104
0.27106.5298889167990.756700243268638
0.28106.6850076578100.734144838414089
0.29106.8337303423340.707468996299941
0.3106.9756280585300.678670706135864
0.31107.1105658460450.649176680821349
0.32107.2386977030050.620788219140658
0.33107.3604252985690.594688971992091
0.34107.4763344059880.571660072828922
0.35107.5871250921680.552061490315832
0.36107.6935494623380.535975131211684
0.37107.7963655275250.523370262498473
0.38107.8963093761840.513785747146571
0.39107.9940821556390.507383724388657
0.4108.0903447906280.50389746212296
0.41108.1857124857210.503511240831568
0.42108.2807426591970.505796436856659
0.43108.3759132186800.510285239718007
0.44108.4715919328440.516485212331934
0.45108.5680010713130.523492573589752
0.46108.6651837649810.530168555740145
0.47108.7629793427310.535207901424877
0.48108.8610142187800.537375336451921
0.49108.9587129584450.535433966112854
0.5109.0553312931820.528611583851133
0.51109.1500095183330.516340248215664
0.52109.2418413726210.498496021796148
0.53109.3299506877840.475523527044273
0.54109.4135663257700.448153474673963
0.55109.4920856137450.4176066619324
0.56109.5651178618530.385175131362888
0.57109.6325025122610.352318425898471
0.58109.6943005740340.320325667039739
0.59109.7507624986540.290494191773783
0.6109.8022796469710.263423426378492
0.61109.8493291520920.239339767101242
0.62109.8924227280600.218427841051152
0.63109.9320686595580.200361576091518
0.64109.9687531272610.184866623780791
0.65110.0029428293010.171549350001385
0.66110.0351063892960.160382905344563
0.67110.0657481189120.151521030627638
0.68110.0954449738740.145465001967747
0.69110.1248763907010.142977205368376
0.7110.1548372454000.144640975478633
0.71110.1862263750570.151050221531940
0.72110.2200067793630.162662284902312
0.73110.2571385250810.178968477897439
0.74110.2984911382470.199148574181169
0.75110.3447482579890.221678871860961
0.76110.3963225115150.245041494063798
0.77110.4533014528240.267181169670375
0.78110.5154441555290.286366994141995
0.79110.5822409391700.301438212024829
0.8110.6530349044950.311713932246615
0.81110.7271845338970.317499912821353
0.82110.8042255326960.320183365805976
0.83110.8839745380540.321554414370609
0.84110.9665167385840.323564440376413
0.85111.0520424350570.327179615651181
0.86111.1405467109360.331599510441007
0.87111.2314723781670.333995122145407
0.88111.3234351899810.330431103343147
0.89111.4141882611340.3169560891507
0.9111.5009321130040.291566438917068
0.91111.5809579869390.255328993573501
0.92111.6524649219360.212708307413043
0.93111.7152774472140.170383900616481
0.94111.7711475249710.13560477655163
0.95111.8233357972480.114048241979855
0.96111.8752346845700.106026962370654
0.97111.9280858349620.102598516192841
0.98111.9786445629620.0886585680362288
0.99112.0188438941330.057499396814594

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 102.881870286453 & 0.234102968294379 \tabularnewline
0.02 & 102.993556389571 & 0.171644121042841 \tabularnewline
0.03 & 103.097866728391 & 0.150148957838072 \tabularnewline
0.04 & 103.187807066752 & 0.162747715318475 \tabularnewline
0.05 & 103.270533251139 & 0.187703750396961 \tabularnewline
0.06 & 103.353358501481 & 0.217713724109031 \tabularnewline
0.07 & 103.440495464750 & 0.252513785353549 \tabularnewline
0.08 & 103.534214458538 & 0.292505887717676 \tabularnewline
0.09 & 103.636047015272 & 0.337928468681139 \tabularnewline
0.1 & 103.747222737342 & 0.388482528069908 \tabularnewline
0.11 & 103.868678308241 & 0.443267999574634 \tabularnewline
0.12 & 104.000924049301 & 0.500495055723539 \tabularnewline
0.13 & 104.143892526851 & 0.556889226620326 \tabularnewline
0.14 & 104.296849922822 & 0.608855719067514 \tabularnewline
0.15 & 104.45843486292 & 0.653607450921784 \tabularnewline
0.16 & 104.626841315690 & 0.689619271812528 \tabularnewline
0.17 & 104.800097542546 & 0.71722735911248 \tabularnewline
0.18 & 104.976351098338 & 0.737931027231725 \tabularnewline
0.19 & 105.154071789280 & 0.753655905258064 \tabularnewline
0.2 & 105.332123537619 & 0.766281124403256 \tabularnewline
0.21 & 105.509708559976 & 0.77661328062339 \tabularnewline
0.22 & 105.686228947337 & 0.784693464025231 \tabularnewline
0.23 & 105.861128201621 & 0.789527445084803 \tabularnewline
0.24 & 106.033768290763 & 0.790067248707472 \tabularnewline
0.25 & 106.203375101555 & 0.784994021716712 \tabularnewline
0.26 & 106.369058222939 & 0.773934233762104 \tabularnewline
0.27 & 106.529888916799 & 0.756700243268638 \tabularnewline
0.28 & 106.685007657810 & 0.734144838414089 \tabularnewline
0.29 & 106.833730342334 & 0.707468996299941 \tabularnewline
0.3 & 106.975628058530 & 0.678670706135864 \tabularnewline
0.31 & 107.110565846045 & 0.649176680821349 \tabularnewline
0.32 & 107.238697703005 & 0.620788219140658 \tabularnewline
0.33 & 107.360425298569 & 0.594688971992091 \tabularnewline
0.34 & 107.476334405988 & 0.571660072828922 \tabularnewline
0.35 & 107.587125092168 & 0.552061490315832 \tabularnewline
0.36 & 107.693549462338 & 0.535975131211684 \tabularnewline
0.37 & 107.796365527525 & 0.523370262498473 \tabularnewline
0.38 & 107.896309376184 & 0.513785747146571 \tabularnewline
0.39 & 107.994082155639 & 0.507383724388657 \tabularnewline
0.4 & 108.090344790628 & 0.50389746212296 \tabularnewline
0.41 & 108.185712485721 & 0.503511240831568 \tabularnewline
0.42 & 108.280742659197 & 0.505796436856659 \tabularnewline
0.43 & 108.375913218680 & 0.510285239718007 \tabularnewline
0.44 & 108.471591932844 & 0.516485212331934 \tabularnewline
0.45 & 108.568001071313 & 0.523492573589752 \tabularnewline
0.46 & 108.665183764981 & 0.530168555740145 \tabularnewline
0.47 & 108.762979342731 & 0.535207901424877 \tabularnewline
0.48 & 108.861014218780 & 0.537375336451921 \tabularnewline
0.49 & 108.958712958445 & 0.535433966112854 \tabularnewline
0.5 & 109.055331293182 & 0.528611583851133 \tabularnewline
0.51 & 109.150009518333 & 0.516340248215664 \tabularnewline
0.52 & 109.241841372621 & 0.498496021796148 \tabularnewline
0.53 & 109.329950687784 & 0.475523527044273 \tabularnewline
0.54 & 109.413566325770 & 0.448153474673963 \tabularnewline
0.55 & 109.492085613745 & 0.4176066619324 \tabularnewline
0.56 & 109.565117861853 & 0.385175131362888 \tabularnewline
0.57 & 109.632502512261 & 0.352318425898471 \tabularnewline
0.58 & 109.694300574034 & 0.320325667039739 \tabularnewline
0.59 & 109.750762498654 & 0.290494191773783 \tabularnewline
0.6 & 109.802279646971 & 0.263423426378492 \tabularnewline
0.61 & 109.849329152092 & 0.239339767101242 \tabularnewline
0.62 & 109.892422728060 & 0.218427841051152 \tabularnewline
0.63 & 109.932068659558 & 0.200361576091518 \tabularnewline
0.64 & 109.968753127261 & 0.184866623780791 \tabularnewline
0.65 & 110.002942829301 & 0.171549350001385 \tabularnewline
0.66 & 110.035106389296 & 0.160382905344563 \tabularnewline
0.67 & 110.065748118912 & 0.151521030627638 \tabularnewline
0.68 & 110.095444973874 & 0.145465001967747 \tabularnewline
0.69 & 110.124876390701 & 0.142977205368376 \tabularnewline
0.7 & 110.154837245400 & 0.144640975478633 \tabularnewline
0.71 & 110.186226375057 & 0.151050221531940 \tabularnewline
0.72 & 110.220006779363 & 0.162662284902312 \tabularnewline
0.73 & 110.257138525081 & 0.178968477897439 \tabularnewline
0.74 & 110.298491138247 & 0.199148574181169 \tabularnewline
0.75 & 110.344748257989 & 0.221678871860961 \tabularnewline
0.76 & 110.396322511515 & 0.245041494063798 \tabularnewline
0.77 & 110.453301452824 & 0.267181169670375 \tabularnewline
0.78 & 110.515444155529 & 0.286366994141995 \tabularnewline
0.79 & 110.582240939170 & 0.301438212024829 \tabularnewline
0.8 & 110.653034904495 & 0.311713932246615 \tabularnewline
0.81 & 110.727184533897 & 0.317499912821353 \tabularnewline
0.82 & 110.804225532696 & 0.320183365805976 \tabularnewline
0.83 & 110.883974538054 & 0.321554414370609 \tabularnewline
0.84 & 110.966516738584 & 0.323564440376413 \tabularnewline
0.85 & 111.052042435057 & 0.327179615651181 \tabularnewline
0.86 & 111.140546710936 & 0.331599510441007 \tabularnewline
0.87 & 111.231472378167 & 0.333995122145407 \tabularnewline
0.88 & 111.323435189981 & 0.330431103343147 \tabularnewline
0.89 & 111.414188261134 & 0.3169560891507 \tabularnewline
0.9 & 111.500932113004 & 0.291566438917068 \tabularnewline
0.91 & 111.580957986939 & 0.255328993573501 \tabularnewline
0.92 & 111.652464921936 & 0.212708307413043 \tabularnewline
0.93 & 111.715277447214 & 0.170383900616481 \tabularnewline
0.94 & 111.771147524971 & 0.13560477655163 \tabularnewline
0.95 & 111.823335797248 & 0.114048241979855 \tabularnewline
0.96 & 111.875234684570 & 0.106026962370654 \tabularnewline
0.97 & 111.928085834962 & 0.102598516192841 \tabularnewline
0.98 & 111.978644562962 & 0.0886585680362288 \tabularnewline
0.99 & 112.018843894133 & 0.057499396814594 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9970&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]102.881870286453[/C][C]0.234102968294379[/C][/ROW]
[ROW][C]0.02[/C][C]102.993556389571[/C][C]0.171644121042841[/C][/ROW]
[ROW][C]0.03[/C][C]103.097866728391[/C][C]0.150148957838072[/C][/ROW]
[ROW][C]0.04[/C][C]103.187807066752[/C][C]0.162747715318475[/C][/ROW]
[ROW][C]0.05[/C][C]103.270533251139[/C][C]0.187703750396961[/C][/ROW]
[ROW][C]0.06[/C][C]103.353358501481[/C][C]0.217713724109031[/C][/ROW]
[ROW][C]0.07[/C][C]103.440495464750[/C][C]0.252513785353549[/C][/ROW]
[ROW][C]0.08[/C][C]103.534214458538[/C][C]0.292505887717676[/C][/ROW]
[ROW][C]0.09[/C][C]103.636047015272[/C][C]0.337928468681139[/C][/ROW]
[ROW][C]0.1[/C][C]103.747222737342[/C][C]0.388482528069908[/C][/ROW]
[ROW][C]0.11[/C][C]103.868678308241[/C][C]0.443267999574634[/C][/ROW]
[ROW][C]0.12[/C][C]104.000924049301[/C][C]0.500495055723539[/C][/ROW]
[ROW][C]0.13[/C][C]104.143892526851[/C][C]0.556889226620326[/C][/ROW]
[ROW][C]0.14[/C][C]104.296849922822[/C][C]0.608855719067514[/C][/ROW]
[ROW][C]0.15[/C][C]104.45843486292[/C][C]0.653607450921784[/C][/ROW]
[ROW][C]0.16[/C][C]104.626841315690[/C][C]0.689619271812528[/C][/ROW]
[ROW][C]0.17[/C][C]104.800097542546[/C][C]0.71722735911248[/C][/ROW]
[ROW][C]0.18[/C][C]104.976351098338[/C][C]0.737931027231725[/C][/ROW]
[ROW][C]0.19[/C][C]105.154071789280[/C][C]0.753655905258064[/C][/ROW]
[ROW][C]0.2[/C][C]105.332123537619[/C][C]0.766281124403256[/C][/ROW]
[ROW][C]0.21[/C][C]105.509708559976[/C][C]0.77661328062339[/C][/ROW]
[ROW][C]0.22[/C][C]105.686228947337[/C][C]0.784693464025231[/C][/ROW]
[ROW][C]0.23[/C][C]105.861128201621[/C][C]0.789527445084803[/C][/ROW]
[ROW][C]0.24[/C][C]106.033768290763[/C][C]0.790067248707472[/C][/ROW]
[ROW][C]0.25[/C][C]106.203375101555[/C][C]0.784994021716712[/C][/ROW]
[ROW][C]0.26[/C][C]106.369058222939[/C][C]0.773934233762104[/C][/ROW]
[ROW][C]0.27[/C][C]106.529888916799[/C][C]0.756700243268638[/C][/ROW]
[ROW][C]0.28[/C][C]106.685007657810[/C][C]0.734144838414089[/C][/ROW]
[ROW][C]0.29[/C][C]106.833730342334[/C][C]0.707468996299941[/C][/ROW]
[ROW][C]0.3[/C][C]106.975628058530[/C][C]0.678670706135864[/C][/ROW]
[ROW][C]0.31[/C][C]107.110565846045[/C][C]0.649176680821349[/C][/ROW]
[ROW][C]0.32[/C][C]107.238697703005[/C][C]0.620788219140658[/C][/ROW]
[ROW][C]0.33[/C][C]107.360425298569[/C][C]0.594688971992091[/C][/ROW]
[ROW][C]0.34[/C][C]107.476334405988[/C][C]0.571660072828922[/C][/ROW]
[ROW][C]0.35[/C][C]107.587125092168[/C][C]0.552061490315832[/C][/ROW]
[ROW][C]0.36[/C][C]107.693549462338[/C][C]0.535975131211684[/C][/ROW]
[ROW][C]0.37[/C][C]107.796365527525[/C][C]0.523370262498473[/C][/ROW]
[ROW][C]0.38[/C][C]107.896309376184[/C][C]0.513785747146571[/C][/ROW]
[ROW][C]0.39[/C][C]107.994082155639[/C][C]0.507383724388657[/C][/ROW]
[ROW][C]0.4[/C][C]108.090344790628[/C][C]0.50389746212296[/C][/ROW]
[ROW][C]0.41[/C][C]108.185712485721[/C][C]0.503511240831568[/C][/ROW]
[ROW][C]0.42[/C][C]108.280742659197[/C][C]0.505796436856659[/C][/ROW]
[ROW][C]0.43[/C][C]108.375913218680[/C][C]0.510285239718007[/C][/ROW]
[ROW][C]0.44[/C][C]108.471591932844[/C][C]0.516485212331934[/C][/ROW]
[ROW][C]0.45[/C][C]108.568001071313[/C][C]0.523492573589752[/C][/ROW]
[ROW][C]0.46[/C][C]108.665183764981[/C][C]0.530168555740145[/C][/ROW]
[ROW][C]0.47[/C][C]108.762979342731[/C][C]0.535207901424877[/C][/ROW]
[ROW][C]0.48[/C][C]108.861014218780[/C][C]0.537375336451921[/C][/ROW]
[ROW][C]0.49[/C][C]108.958712958445[/C][C]0.535433966112854[/C][/ROW]
[ROW][C]0.5[/C][C]109.055331293182[/C][C]0.528611583851133[/C][/ROW]
[ROW][C]0.51[/C][C]109.150009518333[/C][C]0.516340248215664[/C][/ROW]
[ROW][C]0.52[/C][C]109.241841372621[/C][C]0.498496021796148[/C][/ROW]
[ROW][C]0.53[/C][C]109.329950687784[/C][C]0.475523527044273[/C][/ROW]
[ROW][C]0.54[/C][C]109.413566325770[/C][C]0.448153474673963[/C][/ROW]
[ROW][C]0.55[/C][C]109.492085613745[/C][C]0.4176066619324[/C][/ROW]
[ROW][C]0.56[/C][C]109.565117861853[/C][C]0.385175131362888[/C][/ROW]
[ROW][C]0.57[/C][C]109.632502512261[/C][C]0.352318425898471[/C][/ROW]
[ROW][C]0.58[/C][C]109.694300574034[/C][C]0.320325667039739[/C][/ROW]
[ROW][C]0.59[/C][C]109.750762498654[/C][C]0.290494191773783[/C][/ROW]
[ROW][C]0.6[/C][C]109.802279646971[/C][C]0.263423426378492[/C][/ROW]
[ROW][C]0.61[/C][C]109.849329152092[/C][C]0.239339767101242[/C][/ROW]
[ROW][C]0.62[/C][C]109.892422728060[/C][C]0.218427841051152[/C][/ROW]
[ROW][C]0.63[/C][C]109.932068659558[/C][C]0.200361576091518[/C][/ROW]
[ROW][C]0.64[/C][C]109.968753127261[/C][C]0.184866623780791[/C][/ROW]
[ROW][C]0.65[/C][C]110.002942829301[/C][C]0.171549350001385[/C][/ROW]
[ROW][C]0.66[/C][C]110.035106389296[/C][C]0.160382905344563[/C][/ROW]
[ROW][C]0.67[/C][C]110.065748118912[/C][C]0.151521030627638[/C][/ROW]
[ROW][C]0.68[/C][C]110.095444973874[/C][C]0.145465001967747[/C][/ROW]
[ROW][C]0.69[/C][C]110.124876390701[/C][C]0.142977205368376[/C][/ROW]
[ROW][C]0.7[/C][C]110.154837245400[/C][C]0.144640975478633[/C][/ROW]
[ROW][C]0.71[/C][C]110.186226375057[/C][C]0.151050221531940[/C][/ROW]
[ROW][C]0.72[/C][C]110.220006779363[/C][C]0.162662284902312[/C][/ROW]
[ROW][C]0.73[/C][C]110.257138525081[/C][C]0.178968477897439[/C][/ROW]
[ROW][C]0.74[/C][C]110.298491138247[/C][C]0.199148574181169[/C][/ROW]
[ROW][C]0.75[/C][C]110.344748257989[/C][C]0.221678871860961[/C][/ROW]
[ROW][C]0.76[/C][C]110.396322511515[/C][C]0.245041494063798[/C][/ROW]
[ROW][C]0.77[/C][C]110.453301452824[/C][C]0.267181169670375[/C][/ROW]
[ROW][C]0.78[/C][C]110.515444155529[/C][C]0.286366994141995[/C][/ROW]
[ROW][C]0.79[/C][C]110.582240939170[/C][C]0.301438212024829[/C][/ROW]
[ROW][C]0.8[/C][C]110.653034904495[/C][C]0.311713932246615[/C][/ROW]
[ROW][C]0.81[/C][C]110.727184533897[/C][C]0.317499912821353[/C][/ROW]
[ROW][C]0.82[/C][C]110.804225532696[/C][C]0.320183365805976[/C][/ROW]
[ROW][C]0.83[/C][C]110.883974538054[/C][C]0.321554414370609[/C][/ROW]
[ROW][C]0.84[/C][C]110.966516738584[/C][C]0.323564440376413[/C][/ROW]
[ROW][C]0.85[/C][C]111.052042435057[/C][C]0.327179615651181[/C][/ROW]
[ROW][C]0.86[/C][C]111.140546710936[/C][C]0.331599510441007[/C][/ROW]
[ROW][C]0.87[/C][C]111.231472378167[/C][C]0.333995122145407[/C][/ROW]
[ROW][C]0.88[/C][C]111.323435189981[/C][C]0.330431103343147[/C][/ROW]
[ROW][C]0.89[/C][C]111.414188261134[/C][C]0.3169560891507[/C][/ROW]
[ROW][C]0.9[/C][C]111.500932113004[/C][C]0.291566438917068[/C][/ROW]
[ROW][C]0.91[/C][C]111.580957986939[/C][C]0.255328993573501[/C][/ROW]
[ROW][C]0.92[/C][C]111.652464921936[/C][C]0.212708307413043[/C][/ROW]
[ROW][C]0.93[/C][C]111.715277447214[/C][C]0.170383900616481[/C][/ROW]
[ROW][C]0.94[/C][C]111.771147524971[/C][C]0.13560477655163[/C][/ROW]
[ROW][C]0.95[/C][C]111.823335797248[/C][C]0.114048241979855[/C][/ROW]
[ROW][C]0.96[/C][C]111.875234684570[/C][C]0.106026962370654[/C][/ROW]
[ROW][C]0.97[/C][C]111.928085834962[/C][C]0.102598516192841[/C][/ROW]
[ROW][C]0.98[/C][C]111.978644562962[/C][C]0.0886585680362288[/C][/ROW]
[ROW][C]0.99[/C][C]112.018843894133[/C][C]0.057499396814594[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9970&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9970&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01102.8818702864530.234102968294379
0.02102.9935563895710.171644121042841
0.03103.0978667283910.150148957838072
0.04103.1878070667520.162747715318475
0.05103.2705332511390.187703750396961
0.06103.3533585014810.217713724109031
0.07103.4404954647500.252513785353549
0.08103.5342144585380.292505887717676
0.09103.6360470152720.337928468681139
0.1103.7472227373420.388482528069908
0.11103.8686783082410.443267999574634
0.12104.0009240493010.500495055723539
0.13104.1438925268510.556889226620326
0.14104.2968499228220.608855719067514
0.15104.458434862920.653607450921784
0.16104.6268413156900.689619271812528
0.17104.8000975425460.71722735911248
0.18104.9763510983380.737931027231725
0.19105.1540717892800.753655905258064
0.2105.3321235376190.766281124403256
0.21105.5097085599760.77661328062339
0.22105.6862289473370.784693464025231
0.23105.8611282016210.789527445084803
0.24106.0337682907630.790067248707472
0.25106.2033751015550.784994021716712
0.26106.3690582229390.773934233762104
0.27106.5298889167990.756700243268638
0.28106.6850076578100.734144838414089
0.29106.8337303423340.707468996299941
0.3106.9756280585300.678670706135864
0.31107.1105658460450.649176680821349
0.32107.2386977030050.620788219140658
0.33107.3604252985690.594688971992091
0.34107.4763344059880.571660072828922
0.35107.5871250921680.552061490315832
0.36107.6935494623380.535975131211684
0.37107.7963655275250.523370262498473
0.38107.8963093761840.513785747146571
0.39107.9940821556390.507383724388657
0.4108.0903447906280.50389746212296
0.41108.1857124857210.503511240831568
0.42108.2807426591970.505796436856659
0.43108.3759132186800.510285239718007
0.44108.4715919328440.516485212331934
0.45108.5680010713130.523492573589752
0.46108.6651837649810.530168555740145
0.47108.7629793427310.535207901424877
0.48108.8610142187800.537375336451921
0.49108.9587129584450.535433966112854
0.5109.0553312931820.528611583851133
0.51109.1500095183330.516340248215664
0.52109.2418413726210.498496021796148
0.53109.3299506877840.475523527044273
0.54109.4135663257700.448153474673963
0.55109.4920856137450.4176066619324
0.56109.5651178618530.385175131362888
0.57109.6325025122610.352318425898471
0.58109.6943005740340.320325667039739
0.59109.7507624986540.290494191773783
0.6109.8022796469710.263423426378492
0.61109.8493291520920.239339767101242
0.62109.8924227280600.218427841051152
0.63109.9320686595580.200361576091518
0.64109.9687531272610.184866623780791
0.65110.0029428293010.171549350001385
0.66110.0351063892960.160382905344563
0.67110.0657481189120.151521030627638
0.68110.0954449738740.145465001967747
0.69110.1248763907010.142977205368376
0.7110.1548372454000.144640975478633
0.71110.1862263750570.151050221531940
0.72110.2200067793630.162662284902312
0.73110.2571385250810.178968477897439
0.74110.2984911382470.199148574181169
0.75110.3447482579890.221678871860961
0.76110.3963225115150.245041494063798
0.77110.4533014528240.267181169670375
0.78110.5154441555290.286366994141995
0.79110.5822409391700.301438212024829
0.8110.6530349044950.311713932246615
0.81110.7271845338970.317499912821353
0.82110.8042255326960.320183365805976
0.83110.8839745380540.321554414370609
0.84110.9665167385840.323564440376413
0.85111.0520424350570.327179615651181
0.86111.1405467109360.331599510441007
0.87111.2314723781670.333995122145407
0.88111.3234351899810.330431103343147
0.89111.4141882611340.3169560891507
0.9111.5009321130040.291566438917068
0.91111.5809579869390.255328993573501
0.92111.6524649219360.212708307413043
0.93111.7152774472140.170383900616481
0.94111.7711475249710.13560477655163
0.95111.8233357972480.114048241979855
0.96111.8752346845700.106026962370654
0.97111.9280858349620.102598516192841
0.98111.9786445629620.0886585680362288
0.99112.0188438941330.057499396814594


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')