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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 22 Nov 2007 12:14:43 -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/2007/Nov/22/t1195758441731z152o922oa5u.htm/, Retrieved Fri, 03 May 2024 00:24:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6093, Retrieved Fri, 03 May 2024 00:24:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ8, groep1, ws2, deel2
Estimated Impact181

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] [Q8, groep1, ws2, ...] [2007-11-22 19:14:43] [234bcf6fb77cd83fa17f2489a043102b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,91190253
0,916515426
0,899126291
1,008991009
0,993421053
0,992160279
1,062730627
1,109195402
0,991362764
1,063888889
1,007619048
0,996825397
1,069565217
1,03649635
1
1,088974855
1,022526934
1,019073569
0,974759615
1,174123337
1,054307116
1,000879507
1,051707317
1,068322981
1,121606949
1,058577406
1,052785924
1,119675456
1,037678208
1,109090909
1,070238095
1,200542005
1,1280077
1,168867925
1,028806584
1,009746589
1,057303371
1,052238806
1,023993145
1,055243446
1,059898477
1,050547599
0,99
1,055495103
1,07325684
1,050397878
1,095100865
1,02575897
1,005170631
1,014851485
0,97005988
1,037807183
1,05959596
0,974497682
0,963855422
1,088863892
1,011216566
1,077735125
1,034391534
0,990196078
1,013888889
0,972041007
0,970774092
1,045675413
1,028837998
1,020962733
1,017142857
1,113006397
1,050529747
1,076862124
1,069823435
1,039417309
1,046006944
1,083708371
1,061585835
1,112974404
1,124050633
1,098127341
1,012732615
1,14453125

Tables (Output of Computation)





Summary of compuational 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 compuational 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=6093&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]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=6093&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6093&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0050.9012674754811160.0126996130082914
0.0150.9092716762485980.0159941792639897
0.0250.920523731505460.0220183824944885
0.0350.9330252375238020.0251364646461368
0.0450.9450117439299260.0234623359255967
0.0550.9551709075151880.0188375236028863
0.0650.9629930254414290.0139687086261216
0.0750.9687264081307660.0105871881983599
0.0850.9729947419646640.00905363517695784
0.0950.9764176128697850.00874030135018537
0.1050.9794191704281190.00884147278836918
0.1150.9822105110507370.0088781406523972
0.1250.9848570053822120.00869639237293177
0.1350.9873572178090390.00833715774593457
0.1450.9896983824624750.0079197273026494
0.1550.9918820154200360.00756220226814925
0.1650.993927132868410.00732659299988847
0.1750.9958621209925310.00720927030810039
0.1850.997714454895570.00716685530261127
0.1950.9995036244064750.00713896770247146
0.2051.001238922779790.0070845000430085
0.2151.002921260659880.00698034432987404
0.2251.004547100213900.0068282281470918
0.2351.006112635145530.00664419606678642
0.2451.007616950271560.00645538218127115
0.2551.009063628113030.00628901200153852
0.2651.010460859460240.00617350062060059
0.2751.011820462609630.00612112672074623
0.2851.013156335536330.00613631657102167
0.2951.014482819870190.00621618724372557
0.3051.015813318017080.00635320091270012
0.3151.017159338245590.00653459944979388
0.3251.018529993336780.0067479024498521
0.3351.019931874104480.00698129539853168
0.3451.021369169310940.00722390765684807
0.3551.022843902420320.00746752853532043
0.3651.024356186968070.00770646879265396
0.3751.025904445836000.00792865418469625
0.3851.027485577889580.00812760277163696
0.3951.029095078408480.00829897726664076
0.4051.030727127062950.00843483215729549
0.4151.032374655792170.00852908278395162
0.4251.034029408360930.00857367631103265
0.4351.035682010219740.00856595742568215
0.4451.037322081458290.00849912284409145
0.4551.038938439955550.00836980207453534
0.4651.040519445450760.00817459392719025
0.4751.042053519276780.00791375678607537
0.4851.043529837141430.00759256141653423
0.4951.044939141312090.00722004019541769
0.5051.046274569158200.00680966927257196
0.5151.047532364736630.00637965218198853
0.5251.048712341893190.0059537206738999
0.5351.049818004268810.00555157694924483
0.5451.050856291217580.00519457533585842
0.5551.051836991694440.00489658024005848
0.5651.052771930350740.00466896538445793
0.5751.053674064777070.00451350963162595
0.5851.054556632362900.00442922587927303
0.5951.055432452869220.00440898047490182
0.6051.056313441208040.00444589443292386
0.6151.057210331739490.00453131460000826
0.6251.058132577441890.00465728266446192
0.6351.059088375050760.00481729237669486
0.6451.060084781209550.0050051526816742
0.6551.061127914792680.00521336984101612
0.6651.062223269259990.00543977873855165
0.6751.063376167233530.00568031420076648
0.6851.064592365032920.00593526703553593
0.6951.065878758658960.00621197501777881
0.7051.067244071743620.00652000853367243
0.7151.06869934937750.00686989960264198
0.7251.070258069650700.0072753202344208
0.7351.071935733866060.00774312135306342
0.7451.073748898083330.00827388993661618
0.7551.075713727467910.0088597323434725
0.7651.077844241925390.00948191917881612
0.7751.080150440410360.0101137569389735
0.7851.082636445983620.0107276462607936
0.7951.085298759169110.0112866866237073
0.8051.088124727805480.0117535790151536
0.8151.091091495559410.0120888416738734
0.8251.094165946561140.0122521477747554
0.8351.097306375650700.0122086234412514
0.8451.100466593159940.0119445738834966
0.8551.103602843918890.0114736808072411
0.8651.106683474121190.0108485398959382
0.8751.109701146218520.0101625125966689
0.8851.112687860652440.0095464052471829
0.8951.115733510841240.0091715474901129
0.9051.119007153231090.0092616187877596
0.9151.122773759184330.0100876794277380
0.9251.127387483562470.0118664967814866
0.9351.133234081896410.0145326103407212
0.9451.140613797616250.0175158493458466
0.9551.149627074124970.0197372257929429
0.9651.160202999244490.0201587294653203
0.9751.172257983407670.0191938759396291
0.9851.185338509512250.0199529201569985

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.005 & 0.901267475481116 & 0.0126996130082914 \tabularnewline
0.015 & 0.909271676248598 & 0.0159941792639897 \tabularnewline
0.025 & 0.92052373150546 & 0.0220183824944885 \tabularnewline
0.035 & 0.933025237523802 & 0.0251364646461368 \tabularnewline
0.045 & 0.945011743929926 & 0.0234623359255967 \tabularnewline
0.055 & 0.955170907515188 & 0.0188375236028863 \tabularnewline
0.065 & 0.962993025441429 & 0.0139687086261216 \tabularnewline
0.075 & 0.968726408130766 & 0.0105871881983599 \tabularnewline
0.085 & 0.972994741964664 & 0.00905363517695784 \tabularnewline
0.095 & 0.976417612869785 & 0.00874030135018537 \tabularnewline
0.105 & 0.979419170428119 & 0.00884147278836918 \tabularnewline
0.115 & 0.982210511050737 & 0.0088781406523972 \tabularnewline
0.125 & 0.984857005382212 & 0.00869639237293177 \tabularnewline
0.135 & 0.987357217809039 & 0.00833715774593457 \tabularnewline
0.145 & 0.989698382462475 & 0.0079197273026494 \tabularnewline
0.155 & 0.991882015420036 & 0.00756220226814925 \tabularnewline
0.165 & 0.99392713286841 & 0.00732659299988847 \tabularnewline
0.175 & 0.995862120992531 & 0.00720927030810039 \tabularnewline
0.185 & 0.99771445489557 & 0.00716685530261127 \tabularnewline
0.195 & 0.999503624406475 & 0.00713896770247146 \tabularnewline
0.205 & 1.00123892277979 & 0.0070845000430085 \tabularnewline
0.215 & 1.00292126065988 & 0.00698034432987404 \tabularnewline
0.225 & 1.00454710021390 & 0.0068282281470918 \tabularnewline
0.235 & 1.00611263514553 & 0.00664419606678642 \tabularnewline
0.245 & 1.00761695027156 & 0.00645538218127115 \tabularnewline
0.255 & 1.00906362811303 & 0.00628901200153852 \tabularnewline
0.265 & 1.01046085946024 & 0.00617350062060059 \tabularnewline
0.275 & 1.01182046260963 & 0.00612112672074623 \tabularnewline
0.285 & 1.01315633553633 & 0.00613631657102167 \tabularnewline
0.295 & 1.01448281987019 & 0.00621618724372557 \tabularnewline
0.305 & 1.01581331801708 & 0.00635320091270012 \tabularnewline
0.315 & 1.01715933824559 & 0.00653459944979388 \tabularnewline
0.325 & 1.01852999333678 & 0.0067479024498521 \tabularnewline
0.335 & 1.01993187410448 & 0.00698129539853168 \tabularnewline
0.345 & 1.02136916931094 & 0.00722390765684807 \tabularnewline
0.355 & 1.02284390242032 & 0.00746752853532043 \tabularnewline
0.365 & 1.02435618696807 & 0.00770646879265396 \tabularnewline
0.375 & 1.02590444583600 & 0.00792865418469625 \tabularnewline
0.385 & 1.02748557788958 & 0.00812760277163696 \tabularnewline
0.395 & 1.02909507840848 & 0.00829897726664076 \tabularnewline
0.405 & 1.03072712706295 & 0.00843483215729549 \tabularnewline
0.415 & 1.03237465579217 & 0.00852908278395162 \tabularnewline
0.425 & 1.03402940836093 & 0.00857367631103265 \tabularnewline
0.435 & 1.03568201021974 & 0.00856595742568215 \tabularnewline
0.445 & 1.03732208145829 & 0.00849912284409145 \tabularnewline
0.455 & 1.03893843995555 & 0.00836980207453534 \tabularnewline
0.465 & 1.04051944545076 & 0.00817459392719025 \tabularnewline
0.475 & 1.04205351927678 & 0.00791375678607537 \tabularnewline
0.485 & 1.04352983714143 & 0.00759256141653423 \tabularnewline
0.495 & 1.04493914131209 & 0.00722004019541769 \tabularnewline
0.505 & 1.04627456915820 & 0.00680966927257196 \tabularnewline
0.515 & 1.04753236473663 & 0.00637965218198853 \tabularnewline
0.525 & 1.04871234189319 & 0.0059537206738999 \tabularnewline
0.535 & 1.04981800426881 & 0.00555157694924483 \tabularnewline
0.545 & 1.05085629121758 & 0.00519457533585842 \tabularnewline
0.555 & 1.05183699169444 & 0.00489658024005848 \tabularnewline
0.565 & 1.05277193035074 & 0.00466896538445793 \tabularnewline
0.575 & 1.05367406477707 & 0.00451350963162595 \tabularnewline
0.585 & 1.05455663236290 & 0.00442922587927303 \tabularnewline
0.595 & 1.05543245286922 & 0.00440898047490182 \tabularnewline
0.605 & 1.05631344120804 & 0.00444589443292386 \tabularnewline
0.615 & 1.05721033173949 & 0.00453131460000826 \tabularnewline
0.625 & 1.05813257744189 & 0.00465728266446192 \tabularnewline
0.635 & 1.05908837505076 & 0.00481729237669486 \tabularnewline
0.645 & 1.06008478120955 & 0.0050051526816742 \tabularnewline
0.655 & 1.06112791479268 & 0.00521336984101612 \tabularnewline
0.665 & 1.06222326925999 & 0.00543977873855165 \tabularnewline
0.675 & 1.06337616723353 & 0.00568031420076648 \tabularnewline
0.685 & 1.06459236503292 & 0.00593526703553593 \tabularnewline
0.695 & 1.06587875865896 & 0.00621197501777881 \tabularnewline
0.705 & 1.06724407174362 & 0.00652000853367243 \tabularnewline
0.715 & 1.0686993493775 & 0.00686989960264198 \tabularnewline
0.725 & 1.07025806965070 & 0.0072753202344208 \tabularnewline
0.735 & 1.07193573386606 & 0.00774312135306342 \tabularnewline
0.745 & 1.07374889808333 & 0.00827388993661618 \tabularnewline
0.755 & 1.07571372746791 & 0.0088597323434725 \tabularnewline
0.765 & 1.07784424192539 & 0.00948191917881612 \tabularnewline
0.775 & 1.08015044041036 & 0.0101137569389735 \tabularnewline
0.785 & 1.08263644598362 & 0.0107276462607936 \tabularnewline
0.795 & 1.08529875916911 & 0.0112866866237073 \tabularnewline
0.805 & 1.08812472780548 & 0.0117535790151536 \tabularnewline
0.815 & 1.09109149555941 & 0.0120888416738734 \tabularnewline
0.825 & 1.09416594656114 & 0.0122521477747554 \tabularnewline
0.835 & 1.09730637565070 & 0.0122086234412514 \tabularnewline
0.845 & 1.10046659315994 & 0.0119445738834966 \tabularnewline
0.855 & 1.10360284391889 & 0.0114736808072411 \tabularnewline
0.865 & 1.10668347412119 & 0.0108485398959382 \tabularnewline
0.875 & 1.10970114621852 & 0.0101625125966689 \tabularnewline
0.885 & 1.11268786065244 & 0.0095464052471829 \tabularnewline
0.895 & 1.11573351084124 & 0.0091715474901129 \tabularnewline
0.905 & 1.11900715323109 & 0.0092616187877596 \tabularnewline
0.915 & 1.12277375918433 & 0.0100876794277380 \tabularnewline
0.925 & 1.12738748356247 & 0.0118664967814866 \tabularnewline
0.935 & 1.13323408189641 & 0.0145326103407212 \tabularnewline
0.945 & 1.14061379761625 & 0.0175158493458466 \tabularnewline
0.955 & 1.14962707412497 & 0.0197372257929429 \tabularnewline
0.965 & 1.16020299924449 & 0.0201587294653203 \tabularnewline
0.975 & 1.17225798340767 & 0.0191938759396291 \tabularnewline
0.985 & 1.18533850951225 & 0.0199529201569985 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6093&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.005[/C][C]0.901267475481116[/C][C]0.0126996130082914[/C][/ROW]
[ROW][C]0.015[/C][C]0.909271676248598[/C][C]0.0159941792639897[/C][/ROW]
[ROW][C]0.025[/C][C]0.92052373150546[/C][C]0.0220183824944885[/C][/ROW]
[ROW][C]0.035[/C][C]0.933025237523802[/C][C]0.0251364646461368[/C][/ROW]
[ROW][C]0.045[/C][C]0.945011743929926[/C][C]0.0234623359255967[/C][/ROW]
[ROW][C]0.055[/C][C]0.955170907515188[/C][C]0.0188375236028863[/C][/ROW]
[ROW][C]0.065[/C][C]0.962993025441429[/C][C]0.0139687086261216[/C][/ROW]
[ROW][C]0.075[/C][C]0.968726408130766[/C][C]0.0105871881983599[/C][/ROW]
[ROW][C]0.085[/C][C]0.972994741964664[/C][C]0.00905363517695784[/C][/ROW]
[ROW][C]0.095[/C][C]0.976417612869785[/C][C]0.00874030135018537[/C][/ROW]
[ROW][C]0.105[/C][C]0.979419170428119[/C][C]0.00884147278836918[/C][/ROW]
[ROW][C]0.115[/C][C]0.982210511050737[/C][C]0.0088781406523972[/C][/ROW]
[ROW][C]0.125[/C][C]0.984857005382212[/C][C]0.00869639237293177[/C][/ROW]
[ROW][C]0.135[/C][C]0.987357217809039[/C][C]0.00833715774593457[/C][/ROW]
[ROW][C]0.145[/C][C]0.989698382462475[/C][C]0.0079197273026494[/C][/ROW]
[ROW][C]0.155[/C][C]0.991882015420036[/C][C]0.00756220226814925[/C][/ROW]
[ROW][C]0.165[/C][C]0.99392713286841[/C][C]0.00732659299988847[/C][/ROW]
[ROW][C]0.175[/C][C]0.995862120992531[/C][C]0.00720927030810039[/C][/ROW]
[ROW][C]0.185[/C][C]0.99771445489557[/C][C]0.00716685530261127[/C][/ROW]
[ROW][C]0.195[/C][C]0.999503624406475[/C][C]0.00713896770247146[/C][/ROW]
[ROW][C]0.205[/C][C]1.00123892277979[/C][C]0.0070845000430085[/C][/ROW]
[ROW][C]0.215[/C][C]1.00292126065988[/C][C]0.00698034432987404[/C][/ROW]
[ROW][C]0.225[/C][C]1.00454710021390[/C][C]0.0068282281470918[/C][/ROW]
[ROW][C]0.235[/C][C]1.00611263514553[/C][C]0.00664419606678642[/C][/ROW]
[ROW][C]0.245[/C][C]1.00761695027156[/C][C]0.00645538218127115[/C][/ROW]
[ROW][C]0.255[/C][C]1.00906362811303[/C][C]0.00628901200153852[/C][/ROW]
[ROW][C]0.265[/C][C]1.01046085946024[/C][C]0.00617350062060059[/C][/ROW]
[ROW][C]0.275[/C][C]1.01182046260963[/C][C]0.00612112672074623[/C][/ROW]
[ROW][C]0.285[/C][C]1.01315633553633[/C][C]0.00613631657102167[/C][/ROW]
[ROW][C]0.295[/C][C]1.01448281987019[/C][C]0.00621618724372557[/C][/ROW]
[ROW][C]0.305[/C][C]1.01581331801708[/C][C]0.00635320091270012[/C][/ROW]
[ROW][C]0.315[/C][C]1.01715933824559[/C][C]0.00653459944979388[/C][/ROW]
[ROW][C]0.325[/C][C]1.01852999333678[/C][C]0.0067479024498521[/C][/ROW]
[ROW][C]0.335[/C][C]1.01993187410448[/C][C]0.00698129539853168[/C][/ROW]
[ROW][C]0.345[/C][C]1.02136916931094[/C][C]0.00722390765684807[/C][/ROW]
[ROW][C]0.355[/C][C]1.02284390242032[/C][C]0.00746752853532043[/C][/ROW]
[ROW][C]0.365[/C][C]1.02435618696807[/C][C]0.00770646879265396[/C][/ROW]
[ROW][C]0.375[/C][C]1.02590444583600[/C][C]0.00792865418469625[/C][/ROW]
[ROW][C]0.385[/C][C]1.02748557788958[/C][C]0.00812760277163696[/C][/ROW]
[ROW][C]0.395[/C][C]1.02909507840848[/C][C]0.00829897726664076[/C][/ROW]
[ROW][C]0.405[/C][C]1.03072712706295[/C][C]0.00843483215729549[/C][/ROW]
[ROW][C]0.415[/C][C]1.03237465579217[/C][C]0.00852908278395162[/C][/ROW]
[ROW][C]0.425[/C][C]1.03402940836093[/C][C]0.00857367631103265[/C][/ROW]
[ROW][C]0.435[/C][C]1.03568201021974[/C][C]0.00856595742568215[/C][/ROW]
[ROW][C]0.445[/C][C]1.03732208145829[/C][C]0.00849912284409145[/C][/ROW]
[ROW][C]0.455[/C][C]1.03893843995555[/C][C]0.00836980207453534[/C][/ROW]
[ROW][C]0.465[/C][C]1.04051944545076[/C][C]0.00817459392719025[/C][/ROW]
[ROW][C]0.475[/C][C]1.04205351927678[/C][C]0.00791375678607537[/C][/ROW]
[ROW][C]0.485[/C][C]1.04352983714143[/C][C]0.00759256141653423[/C][/ROW]
[ROW][C]0.495[/C][C]1.04493914131209[/C][C]0.00722004019541769[/C][/ROW]
[ROW][C]0.505[/C][C]1.04627456915820[/C][C]0.00680966927257196[/C][/ROW]
[ROW][C]0.515[/C][C]1.04753236473663[/C][C]0.00637965218198853[/C][/ROW]
[ROW][C]0.525[/C][C]1.04871234189319[/C][C]0.0059537206738999[/C][/ROW]
[ROW][C]0.535[/C][C]1.04981800426881[/C][C]0.00555157694924483[/C][/ROW]
[ROW][C]0.545[/C][C]1.05085629121758[/C][C]0.00519457533585842[/C][/ROW]
[ROW][C]0.555[/C][C]1.05183699169444[/C][C]0.00489658024005848[/C][/ROW]
[ROW][C]0.565[/C][C]1.05277193035074[/C][C]0.00466896538445793[/C][/ROW]
[ROW][C]0.575[/C][C]1.05367406477707[/C][C]0.00451350963162595[/C][/ROW]
[ROW][C]0.585[/C][C]1.05455663236290[/C][C]0.00442922587927303[/C][/ROW]
[ROW][C]0.595[/C][C]1.05543245286922[/C][C]0.00440898047490182[/C][/ROW]
[ROW][C]0.605[/C][C]1.05631344120804[/C][C]0.00444589443292386[/C][/ROW]
[ROW][C]0.615[/C][C]1.05721033173949[/C][C]0.00453131460000826[/C][/ROW]
[ROW][C]0.625[/C][C]1.05813257744189[/C][C]0.00465728266446192[/C][/ROW]
[ROW][C]0.635[/C][C]1.05908837505076[/C][C]0.00481729237669486[/C][/ROW]
[ROW][C]0.645[/C][C]1.06008478120955[/C][C]0.0050051526816742[/C][/ROW]
[ROW][C]0.655[/C][C]1.06112791479268[/C][C]0.00521336984101612[/C][/ROW]
[ROW][C]0.665[/C][C]1.06222326925999[/C][C]0.00543977873855165[/C][/ROW]
[ROW][C]0.675[/C][C]1.06337616723353[/C][C]0.00568031420076648[/C][/ROW]
[ROW][C]0.685[/C][C]1.06459236503292[/C][C]0.00593526703553593[/C][/ROW]
[ROW][C]0.695[/C][C]1.06587875865896[/C][C]0.00621197501777881[/C][/ROW]
[ROW][C]0.705[/C][C]1.06724407174362[/C][C]0.00652000853367243[/C][/ROW]
[ROW][C]0.715[/C][C]1.0686993493775[/C][C]0.00686989960264198[/C][/ROW]
[ROW][C]0.725[/C][C]1.07025806965070[/C][C]0.0072753202344208[/C][/ROW]
[ROW][C]0.735[/C][C]1.07193573386606[/C][C]0.00774312135306342[/C][/ROW]
[ROW][C]0.745[/C][C]1.07374889808333[/C][C]0.00827388993661618[/C][/ROW]
[ROW][C]0.755[/C][C]1.07571372746791[/C][C]0.0088597323434725[/C][/ROW]
[ROW][C]0.765[/C][C]1.07784424192539[/C][C]0.00948191917881612[/C][/ROW]
[ROW][C]0.775[/C][C]1.08015044041036[/C][C]0.0101137569389735[/C][/ROW]
[ROW][C]0.785[/C][C]1.08263644598362[/C][C]0.0107276462607936[/C][/ROW]
[ROW][C]0.795[/C][C]1.08529875916911[/C][C]0.0112866866237073[/C][/ROW]
[ROW][C]0.805[/C][C]1.08812472780548[/C][C]0.0117535790151536[/C][/ROW]
[ROW][C]0.815[/C][C]1.09109149555941[/C][C]0.0120888416738734[/C][/ROW]
[ROW][C]0.825[/C][C]1.09416594656114[/C][C]0.0122521477747554[/C][/ROW]
[ROW][C]0.835[/C][C]1.09730637565070[/C][C]0.0122086234412514[/C][/ROW]
[ROW][C]0.845[/C][C]1.10046659315994[/C][C]0.0119445738834966[/C][/ROW]
[ROW][C]0.855[/C][C]1.10360284391889[/C][C]0.0114736808072411[/C][/ROW]
[ROW][C]0.865[/C][C]1.10668347412119[/C][C]0.0108485398959382[/C][/ROW]
[ROW][C]0.875[/C][C]1.10970114621852[/C][C]0.0101625125966689[/C][/ROW]
[ROW][C]0.885[/C][C]1.11268786065244[/C][C]0.0095464052471829[/C][/ROW]
[ROW][C]0.895[/C][C]1.11573351084124[/C][C]0.0091715474901129[/C][/ROW]
[ROW][C]0.905[/C][C]1.11900715323109[/C][C]0.0092616187877596[/C][/ROW]
[ROW][C]0.915[/C][C]1.12277375918433[/C][C]0.0100876794277380[/C][/ROW]
[ROW][C]0.925[/C][C]1.12738748356247[/C][C]0.0118664967814866[/C][/ROW]
[ROW][C]0.935[/C][C]1.13323408189641[/C][C]0.0145326103407212[/C][/ROW]
[ROW][C]0.945[/C][C]1.14061379761625[/C][C]0.0175158493458466[/C][/ROW]
[ROW][C]0.955[/C][C]1.14962707412497[/C][C]0.0197372257929429[/C][/ROW]
[ROW][C]0.965[/C][C]1.16020299924449[/C][C]0.0201587294653203[/C][/ROW]
[ROW][C]0.975[/C][C]1.17225798340767[/C][C]0.0191938759396291[/C][/ROW]
[ROW][C]0.985[/C][C]1.18533850951225[/C][C]0.0199529201569985[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6093&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6093&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
0.0050.9012674754811160.0126996130082914
0.0150.9092716762485980.0159941792639897
0.0250.920523731505460.0220183824944885
0.0350.9330252375238020.0251364646461368
0.0450.9450117439299260.0234623359255967
0.0550.9551709075151880.0188375236028863
0.0650.9629930254414290.0139687086261216
0.0750.9687264081307660.0105871881983599
0.0850.9729947419646640.00905363517695784
0.0950.9764176128697850.00874030135018537
0.1050.9794191704281190.00884147278836918
0.1150.9822105110507370.0088781406523972
0.1250.9848570053822120.00869639237293177
0.1350.9873572178090390.00833715774593457
0.1450.9896983824624750.0079197273026494
0.1550.9918820154200360.00756220226814925
0.1650.993927132868410.00732659299988847
0.1750.9958621209925310.00720927030810039
0.1850.997714454895570.00716685530261127
0.1950.9995036244064750.00713896770247146
0.2051.001238922779790.0070845000430085
0.2151.002921260659880.00698034432987404
0.2251.004547100213900.0068282281470918
0.2351.006112635145530.00664419606678642
0.2451.007616950271560.00645538218127115
0.2551.009063628113030.00628901200153852
0.2651.010460859460240.00617350062060059
0.2751.011820462609630.00612112672074623
0.2851.013156335536330.00613631657102167
0.2951.014482819870190.00621618724372557
0.3051.015813318017080.00635320091270012
0.3151.017159338245590.00653459944979388
0.3251.018529993336780.0067479024498521
0.3351.019931874104480.00698129539853168
0.3451.021369169310940.00722390765684807
0.3551.022843902420320.00746752853532043
0.3651.024356186968070.00770646879265396
0.3751.025904445836000.00792865418469625
0.3851.027485577889580.00812760277163696
0.3951.029095078408480.00829897726664076
0.4051.030727127062950.00843483215729549
0.4151.032374655792170.00852908278395162
0.4251.034029408360930.00857367631103265
0.4351.035682010219740.00856595742568215
0.4451.037322081458290.00849912284409145
0.4551.038938439955550.00836980207453534
0.4651.040519445450760.00817459392719025
0.4751.042053519276780.00791375678607537
0.4851.043529837141430.00759256141653423
0.4951.044939141312090.00722004019541769
0.5051.046274569158200.00680966927257196
0.5151.047532364736630.00637965218198853
0.5251.048712341893190.0059537206738999
0.5351.049818004268810.00555157694924483
0.5451.050856291217580.00519457533585842
0.5551.051836991694440.00489658024005848
0.5651.052771930350740.00466896538445793
0.5751.053674064777070.00451350963162595
0.5851.054556632362900.00442922587927303
0.5951.055432452869220.00440898047490182
0.6051.056313441208040.00444589443292386
0.6151.057210331739490.00453131460000826
0.6251.058132577441890.00465728266446192
0.6351.059088375050760.00481729237669486
0.6451.060084781209550.0050051526816742
0.6551.061127914792680.00521336984101612
0.6651.062223269259990.00543977873855165
0.6751.063376167233530.00568031420076648
0.6851.064592365032920.00593526703553593
0.6951.065878758658960.00621197501777881
0.7051.067244071743620.00652000853367243
0.7151.06869934937750.00686989960264198
0.7251.070258069650700.0072753202344208
0.7351.071935733866060.00774312135306342
0.7451.073748898083330.00827388993661618
0.7551.075713727467910.0088597323434725
0.7651.077844241925390.00948191917881612
0.7751.080150440410360.0101137569389735
0.7851.082636445983620.0107276462607936
0.7951.085298759169110.0112866866237073
0.8051.088124727805480.0117535790151536
0.8151.091091495559410.0120888416738734
0.8251.094165946561140.0122521477747554
0.8351.097306375650700.0122086234412514
0.8451.100466593159940.0119445738834966
0.8551.103602843918890.0114736808072411
0.8651.106683474121190.0108485398959382
0.8751.109701146218520.0101625125966689
0.8851.112687860652440.0095464052471829
0.8951.115733510841240.0091715474901129
0.9051.119007153231090.0092616187877596
0.9151.122773759184330.0100876794277380
0.9251.127387483562470.0118664967814866
0.9351.133234081896410.0145326103407212
0.9451.140613797616250.0175158493458466
0.9551.149627074124970.0197372257929429
0.9651.160202999244490.0201587294653203
0.9751.172257983407670.0191938759396291
0.9851.185338509512250.0199529201569985


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.005 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.005 ; 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')