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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 03 Nov 2008 08:22:14 -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/Nov/03/t122572576994fydws3th03uxo.htm/, Retrieved Sat, 18 May 2024 23:05:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20852, Retrieved Sat, 18 May 2024 23:05:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact167

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
-   PD  [Harrell-Davis Quantiles] [Betrouwbaarheidsi...] [2008-10-27 22:33:15] [d32f94eec6fe2d8c421bd223368a5ced]
-           [Harrell-Davis Quantiles] [] [2008-11-03 15:22:14] [428345b1a3979ee2ad6751f9aac15fbb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,719825346
0,736731609
0,736553238
0,709019687
0,754582242
0,760261569
0,726522511
0,763427634
0,75952085
0,733817701
0,743840438
0,788650115
0,732517271
0,791599498
0,728942281
0,752812344
0,767683445
0,767052767
0,750053
0,773094397
0,754924416
0,756673325
0,737311316
0,767423951
0,709908551
0,727307435
0,730595238
0,727203065
0,743940222
0,746126582
0,728158458
0,75383828
0,723186925
0,740238161
0,71861915
0,759008628
0,708814318
0,739931985
0,712240974
0,727433202
0,74155391
0,756559395
0,713651284
0,763649689
0,716531491
0,698453402
0,726394124
0,780849577
0,685311871
0,745724973
0,663226187
0,729023508
0,721765397
0,669643724
0,699009501
0,696815027
0,735386029
0,736898935
0,702653511
0,74046189

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20852&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20852&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20852&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 computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.665642395339340.00806704206807945
0.020.6698790934129310.0106299694920209
0.030.6751465086520790.0123090301141828
0.040.6806238819520510.0124459485932304
0.050.6857216177751590.0113891534982463
0.060.6901340976830970.00981681923079076
0.070.6937916716685620.00830027024347572
0.080.6967751974349690.0071539545668824
0.090.6992312480709170.00644161915833334
0.10.701309945264140.00605840453808061
0.110.7031319974558910.00585160837936879
0.120.704780022233420.0057077927494191
0.130.706304331122550.00557271000486022
0.140.707733912943110.0054411720227418
0.150.7090865411248920.00532647901833054
0.160.7103753823490950.00524675377110746
0.170.7116119702429820.00520710234702172
0.180.712806649370850.00520143170477875
0.190.7139678447167140.00521535346373372
0.20.7151012005527520.00522936552053103
0.210.7162091455201730.00522720532692751
0.220.7172910226315820.00519546191586048
0.230.7183436721223890.00512495367533723
0.240.719362266031740.00501360003496882
0.250.7203412105307070.00486031879649264
0.260.7212749930547320.00466902211124514
0.270.7221589112980720.00444576739969928
0.280.7229896591273220.00419890255733885
0.290.7237657590125050.00393968410086067
0.30.7244878308438120.00368148485088602
0.310.7251586844404920.00343856886531254
0.320.7257832258977520.00322335325264
0.330.7263681791064890.00304881255096095
0.340.7269216415438360.00292414888661582
0.350.7274525132387960.00285497076393572
0.360.727969854602150.00284254449993112
0.370.7284822386642680.00287856914166461
0.380.728997164264170.00295632692974494
0.390.7295205889651160.00306073426598087
0.40.7300566255466570.00318064978737459
0.410.7306074263111160.00330110839353087
0.420.731173257894560.00341077730438298
0.430.7317527484347820.00350096864270779
0.440.732343271159670.00356662755829737
0.450.7329414156304710.00360432971351217
0.460.7335434913727850.00361391223373589
0.470.7341460091161240.00360079869397707
0.480.7347460921320070.00356867079298507
0.490.735341783039790.003526351046397
0.50.7359322278720670.00348130491747646
0.510.7365177364697260.0034424474696507
0.520.7370997335576730.00341485591366833
0.530.7376806256677440.00340663832647441
0.540.7382636138537370.00341887074938113
0.550.7388524805518760.00345490006232621
0.560.7394513719700380.00351660688384986
0.570.74006458715970.00360266377962244
0.580.7406963742476560.00371204095895588
0.590.7413507261017960.00384202627605716
0.60.7420311643897680.00399078789470727
0.610.742740503918340.00415314400559574
0.620.743480598231690.0043228177510815
0.630.7442520810299770.0044914423914251
0.640.7450541329440610.00465162769469096
0.650.7458843155211680.00479085213078773
0.660.7467385197547850.00489985220655994
0.670.747611071836980.00496827238586696
0.680.7484950226708180.00498925645688325
0.690.7493826214209850.00495695028472516
0.70.7502659412755160.00487380417352811
0.710.7511375942005610.00474225361762545
0.720.7519914481978410.00457251717846757
0.730.7528232516881070.00437828612260773
0.740.7536310783040340.00417408156059908
0.750.7544155303657670.00397639067522379
0.760.755179675063570.00379894544918168
0.770.7559287255436370.00365447141833674
0.780.756669511443020.00354976499483812
0.790.7574098051730870.00348807015240178
0.80.7581575827641690.00346596280401382
0.810.7589203094770470.00347741401262376
0.820.7597043629968530.00351259778796892
0.830.7605147510754110.00356015377848832
0.840.7613553443677190.00360890156853798
0.850.7622299045163790.00364998599399917
0.860.7631441877062080.00368204866207503
0.870.7641092641614540.00371650112161547
0.880.7651458313818280.00378471101652876
0.890.766288675952840.00393904633673576
0.90.7675896265122040.00424771662554659
0.910.7691165700807350.00476720920109171
0.920.7709457750202820.00550542330357455
0.930.773145385542130.00639125329804893
0.940.7757499909019950.00726526708573767
0.950.778729713448980.00788690738222409
0.960.7819614319849860.00796982900653431
0.970.7852125834555320.00727145208048262
0.980.7881488964644080.00578323831261006
0.990.7903829504581390.00400423686429171

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.66564239533934 & 0.00806704206807945 \tabularnewline
0.02 & 0.669879093412931 & 0.0106299694920209 \tabularnewline
0.03 & 0.675146508652079 & 0.0123090301141828 \tabularnewline
0.04 & 0.680623881952051 & 0.0124459485932304 \tabularnewline
0.05 & 0.685721617775159 & 0.0113891534982463 \tabularnewline
0.06 & 0.690134097683097 & 0.00981681923079076 \tabularnewline
0.07 & 0.693791671668562 & 0.00830027024347572 \tabularnewline
0.08 & 0.696775197434969 & 0.0071539545668824 \tabularnewline
0.09 & 0.699231248070917 & 0.00644161915833334 \tabularnewline
0.1 & 0.70130994526414 & 0.00605840453808061 \tabularnewline
0.11 & 0.703131997455891 & 0.00585160837936879 \tabularnewline
0.12 & 0.70478002223342 & 0.0057077927494191 \tabularnewline
0.13 & 0.70630433112255 & 0.00557271000486022 \tabularnewline
0.14 & 0.70773391294311 & 0.0054411720227418 \tabularnewline
0.15 & 0.709086541124892 & 0.00532647901833054 \tabularnewline
0.16 & 0.710375382349095 & 0.00524675377110746 \tabularnewline
0.17 & 0.711611970242982 & 0.00520710234702172 \tabularnewline
0.18 & 0.71280664937085 & 0.00520143170477875 \tabularnewline
0.19 & 0.713967844716714 & 0.00521535346373372 \tabularnewline
0.2 & 0.715101200552752 & 0.00522936552053103 \tabularnewline
0.21 & 0.716209145520173 & 0.00522720532692751 \tabularnewline
0.22 & 0.717291022631582 & 0.00519546191586048 \tabularnewline
0.23 & 0.718343672122389 & 0.00512495367533723 \tabularnewline
0.24 & 0.71936226603174 & 0.00501360003496882 \tabularnewline
0.25 & 0.720341210530707 & 0.00486031879649264 \tabularnewline
0.26 & 0.721274993054732 & 0.00466902211124514 \tabularnewline
0.27 & 0.722158911298072 & 0.00444576739969928 \tabularnewline
0.28 & 0.722989659127322 & 0.00419890255733885 \tabularnewline
0.29 & 0.723765759012505 & 0.00393968410086067 \tabularnewline
0.3 & 0.724487830843812 & 0.00368148485088602 \tabularnewline
0.31 & 0.725158684440492 & 0.00343856886531254 \tabularnewline
0.32 & 0.725783225897752 & 0.00322335325264 \tabularnewline
0.33 & 0.726368179106489 & 0.00304881255096095 \tabularnewline
0.34 & 0.726921641543836 & 0.00292414888661582 \tabularnewline
0.35 & 0.727452513238796 & 0.00285497076393572 \tabularnewline
0.36 & 0.72796985460215 & 0.00284254449993112 \tabularnewline
0.37 & 0.728482238664268 & 0.00287856914166461 \tabularnewline
0.38 & 0.72899716426417 & 0.00295632692974494 \tabularnewline
0.39 & 0.729520588965116 & 0.00306073426598087 \tabularnewline
0.4 & 0.730056625546657 & 0.00318064978737459 \tabularnewline
0.41 & 0.730607426311116 & 0.00330110839353087 \tabularnewline
0.42 & 0.73117325789456 & 0.00341077730438298 \tabularnewline
0.43 & 0.731752748434782 & 0.00350096864270779 \tabularnewline
0.44 & 0.73234327115967 & 0.00356662755829737 \tabularnewline
0.45 & 0.732941415630471 & 0.00360432971351217 \tabularnewline
0.46 & 0.733543491372785 & 0.00361391223373589 \tabularnewline
0.47 & 0.734146009116124 & 0.00360079869397707 \tabularnewline
0.48 & 0.734746092132007 & 0.00356867079298507 \tabularnewline
0.49 & 0.73534178303979 & 0.003526351046397 \tabularnewline
0.5 & 0.735932227872067 & 0.00348130491747646 \tabularnewline
0.51 & 0.736517736469726 & 0.0034424474696507 \tabularnewline
0.52 & 0.737099733557673 & 0.00341485591366833 \tabularnewline
0.53 & 0.737680625667744 & 0.00340663832647441 \tabularnewline
0.54 & 0.738263613853737 & 0.00341887074938113 \tabularnewline
0.55 & 0.738852480551876 & 0.00345490006232621 \tabularnewline
0.56 & 0.739451371970038 & 0.00351660688384986 \tabularnewline
0.57 & 0.7400645871597 & 0.00360266377962244 \tabularnewline
0.58 & 0.740696374247656 & 0.00371204095895588 \tabularnewline
0.59 & 0.741350726101796 & 0.00384202627605716 \tabularnewline
0.6 & 0.742031164389768 & 0.00399078789470727 \tabularnewline
0.61 & 0.74274050391834 & 0.00415314400559574 \tabularnewline
0.62 & 0.74348059823169 & 0.0043228177510815 \tabularnewline
0.63 & 0.744252081029977 & 0.0044914423914251 \tabularnewline
0.64 & 0.745054132944061 & 0.00465162769469096 \tabularnewline
0.65 & 0.745884315521168 & 0.00479085213078773 \tabularnewline
0.66 & 0.746738519754785 & 0.00489985220655994 \tabularnewline
0.67 & 0.74761107183698 & 0.00496827238586696 \tabularnewline
0.68 & 0.748495022670818 & 0.00498925645688325 \tabularnewline
0.69 & 0.749382621420985 & 0.00495695028472516 \tabularnewline
0.7 & 0.750265941275516 & 0.00487380417352811 \tabularnewline
0.71 & 0.751137594200561 & 0.00474225361762545 \tabularnewline
0.72 & 0.751991448197841 & 0.00457251717846757 \tabularnewline
0.73 & 0.752823251688107 & 0.00437828612260773 \tabularnewline
0.74 & 0.753631078304034 & 0.00417408156059908 \tabularnewline
0.75 & 0.754415530365767 & 0.00397639067522379 \tabularnewline
0.76 & 0.75517967506357 & 0.00379894544918168 \tabularnewline
0.77 & 0.755928725543637 & 0.00365447141833674 \tabularnewline
0.78 & 0.75666951144302 & 0.00354976499483812 \tabularnewline
0.79 & 0.757409805173087 & 0.00348807015240178 \tabularnewline
0.8 & 0.758157582764169 & 0.00346596280401382 \tabularnewline
0.81 & 0.758920309477047 & 0.00347741401262376 \tabularnewline
0.82 & 0.759704362996853 & 0.00351259778796892 \tabularnewline
0.83 & 0.760514751075411 & 0.00356015377848832 \tabularnewline
0.84 & 0.761355344367719 & 0.00360890156853798 \tabularnewline
0.85 & 0.762229904516379 & 0.00364998599399917 \tabularnewline
0.86 & 0.763144187706208 & 0.00368204866207503 \tabularnewline
0.87 & 0.764109264161454 & 0.00371650112161547 \tabularnewline
0.88 & 0.765145831381828 & 0.00378471101652876 \tabularnewline
0.89 & 0.76628867595284 & 0.00393904633673576 \tabularnewline
0.9 & 0.767589626512204 & 0.00424771662554659 \tabularnewline
0.91 & 0.769116570080735 & 0.00476720920109171 \tabularnewline
0.92 & 0.770945775020282 & 0.00550542330357455 \tabularnewline
0.93 & 0.77314538554213 & 0.00639125329804893 \tabularnewline
0.94 & 0.775749990901995 & 0.00726526708573767 \tabularnewline
0.95 & 0.77872971344898 & 0.00788690738222409 \tabularnewline
0.96 & 0.781961431984986 & 0.00796982900653431 \tabularnewline
0.97 & 0.785212583455532 & 0.00727145208048262 \tabularnewline
0.98 & 0.788148896464408 & 0.00578323831261006 \tabularnewline
0.99 & 0.790382950458139 & 0.00400423686429171 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20852&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]0.66564239533934[/C][C]0.00806704206807945[/C][/ROW]
[ROW][C]0.02[/C][C]0.669879093412931[/C][C]0.0106299694920209[/C][/ROW]
[ROW][C]0.03[/C][C]0.675146508652079[/C][C]0.0123090301141828[/C][/ROW]
[ROW][C]0.04[/C][C]0.680623881952051[/C][C]0.0124459485932304[/C][/ROW]
[ROW][C]0.05[/C][C]0.685721617775159[/C][C]0.0113891534982463[/C][/ROW]
[ROW][C]0.06[/C][C]0.690134097683097[/C][C]0.00981681923079076[/C][/ROW]
[ROW][C]0.07[/C][C]0.693791671668562[/C][C]0.00830027024347572[/C][/ROW]
[ROW][C]0.08[/C][C]0.696775197434969[/C][C]0.0071539545668824[/C][/ROW]
[ROW][C]0.09[/C][C]0.699231248070917[/C][C]0.00644161915833334[/C][/ROW]
[ROW][C]0.1[/C][C]0.70130994526414[/C][C]0.00605840453808061[/C][/ROW]
[ROW][C]0.11[/C][C]0.703131997455891[/C][C]0.00585160837936879[/C][/ROW]
[ROW][C]0.12[/C][C]0.70478002223342[/C][C]0.0057077927494191[/C][/ROW]
[ROW][C]0.13[/C][C]0.70630433112255[/C][C]0.00557271000486022[/C][/ROW]
[ROW][C]0.14[/C][C]0.70773391294311[/C][C]0.0054411720227418[/C][/ROW]
[ROW][C]0.15[/C][C]0.709086541124892[/C][C]0.00532647901833054[/C][/ROW]
[ROW][C]0.16[/C][C]0.710375382349095[/C][C]0.00524675377110746[/C][/ROW]
[ROW][C]0.17[/C][C]0.711611970242982[/C][C]0.00520710234702172[/C][/ROW]
[ROW][C]0.18[/C][C]0.71280664937085[/C][C]0.00520143170477875[/C][/ROW]
[ROW][C]0.19[/C][C]0.713967844716714[/C][C]0.00521535346373372[/C][/ROW]
[ROW][C]0.2[/C][C]0.715101200552752[/C][C]0.00522936552053103[/C][/ROW]
[ROW][C]0.21[/C][C]0.716209145520173[/C][C]0.00522720532692751[/C][/ROW]
[ROW][C]0.22[/C][C]0.717291022631582[/C][C]0.00519546191586048[/C][/ROW]
[ROW][C]0.23[/C][C]0.718343672122389[/C][C]0.00512495367533723[/C][/ROW]
[ROW][C]0.24[/C][C]0.71936226603174[/C][C]0.00501360003496882[/C][/ROW]
[ROW][C]0.25[/C][C]0.720341210530707[/C][C]0.00486031879649264[/C][/ROW]
[ROW][C]0.26[/C][C]0.721274993054732[/C][C]0.00466902211124514[/C][/ROW]
[ROW][C]0.27[/C][C]0.722158911298072[/C][C]0.00444576739969928[/C][/ROW]
[ROW][C]0.28[/C][C]0.722989659127322[/C][C]0.00419890255733885[/C][/ROW]
[ROW][C]0.29[/C][C]0.723765759012505[/C][C]0.00393968410086067[/C][/ROW]
[ROW][C]0.3[/C][C]0.724487830843812[/C][C]0.00368148485088602[/C][/ROW]
[ROW][C]0.31[/C][C]0.725158684440492[/C][C]0.00343856886531254[/C][/ROW]
[ROW][C]0.32[/C][C]0.725783225897752[/C][C]0.00322335325264[/C][/ROW]
[ROW][C]0.33[/C][C]0.726368179106489[/C][C]0.00304881255096095[/C][/ROW]
[ROW][C]0.34[/C][C]0.726921641543836[/C][C]0.00292414888661582[/C][/ROW]
[ROW][C]0.35[/C][C]0.727452513238796[/C][C]0.00285497076393572[/C][/ROW]
[ROW][C]0.36[/C][C]0.72796985460215[/C][C]0.00284254449993112[/C][/ROW]
[ROW][C]0.37[/C][C]0.728482238664268[/C][C]0.00287856914166461[/C][/ROW]
[ROW][C]0.38[/C][C]0.72899716426417[/C][C]0.00295632692974494[/C][/ROW]
[ROW][C]0.39[/C][C]0.729520588965116[/C][C]0.00306073426598087[/C][/ROW]
[ROW][C]0.4[/C][C]0.730056625546657[/C][C]0.00318064978737459[/C][/ROW]
[ROW][C]0.41[/C][C]0.730607426311116[/C][C]0.00330110839353087[/C][/ROW]
[ROW][C]0.42[/C][C]0.73117325789456[/C][C]0.00341077730438298[/C][/ROW]
[ROW][C]0.43[/C][C]0.731752748434782[/C][C]0.00350096864270779[/C][/ROW]
[ROW][C]0.44[/C][C]0.73234327115967[/C][C]0.00356662755829737[/C][/ROW]
[ROW][C]0.45[/C][C]0.732941415630471[/C][C]0.00360432971351217[/C][/ROW]
[ROW][C]0.46[/C][C]0.733543491372785[/C][C]0.00361391223373589[/C][/ROW]
[ROW][C]0.47[/C][C]0.734146009116124[/C][C]0.00360079869397707[/C][/ROW]
[ROW][C]0.48[/C][C]0.734746092132007[/C][C]0.00356867079298507[/C][/ROW]
[ROW][C]0.49[/C][C]0.73534178303979[/C][C]0.003526351046397[/C][/ROW]
[ROW][C]0.5[/C][C]0.735932227872067[/C][C]0.00348130491747646[/C][/ROW]
[ROW][C]0.51[/C][C]0.736517736469726[/C][C]0.0034424474696507[/C][/ROW]
[ROW][C]0.52[/C][C]0.737099733557673[/C][C]0.00341485591366833[/C][/ROW]
[ROW][C]0.53[/C][C]0.737680625667744[/C][C]0.00340663832647441[/C][/ROW]
[ROW][C]0.54[/C][C]0.738263613853737[/C][C]0.00341887074938113[/C][/ROW]
[ROW][C]0.55[/C][C]0.738852480551876[/C][C]0.00345490006232621[/C][/ROW]
[ROW][C]0.56[/C][C]0.739451371970038[/C][C]0.00351660688384986[/C][/ROW]
[ROW][C]0.57[/C][C]0.7400645871597[/C][C]0.00360266377962244[/C][/ROW]
[ROW][C]0.58[/C][C]0.740696374247656[/C][C]0.00371204095895588[/C][/ROW]
[ROW][C]0.59[/C][C]0.741350726101796[/C][C]0.00384202627605716[/C][/ROW]
[ROW][C]0.6[/C][C]0.742031164389768[/C][C]0.00399078789470727[/C][/ROW]
[ROW][C]0.61[/C][C]0.74274050391834[/C][C]0.00415314400559574[/C][/ROW]
[ROW][C]0.62[/C][C]0.74348059823169[/C][C]0.0043228177510815[/C][/ROW]
[ROW][C]0.63[/C][C]0.744252081029977[/C][C]0.0044914423914251[/C][/ROW]
[ROW][C]0.64[/C][C]0.745054132944061[/C][C]0.00465162769469096[/C][/ROW]
[ROW][C]0.65[/C][C]0.745884315521168[/C][C]0.00479085213078773[/C][/ROW]
[ROW][C]0.66[/C][C]0.746738519754785[/C][C]0.00489985220655994[/C][/ROW]
[ROW][C]0.67[/C][C]0.74761107183698[/C][C]0.00496827238586696[/C][/ROW]
[ROW][C]0.68[/C][C]0.748495022670818[/C][C]0.00498925645688325[/C][/ROW]
[ROW][C]0.69[/C][C]0.749382621420985[/C][C]0.00495695028472516[/C][/ROW]
[ROW][C]0.7[/C][C]0.750265941275516[/C][C]0.00487380417352811[/C][/ROW]
[ROW][C]0.71[/C][C]0.751137594200561[/C][C]0.00474225361762545[/C][/ROW]
[ROW][C]0.72[/C][C]0.751991448197841[/C][C]0.00457251717846757[/C][/ROW]
[ROW][C]0.73[/C][C]0.752823251688107[/C][C]0.00437828612260773[/C][/ROW]
[ROW][C]0.74[/C][C]0.753631078304034[/C][C]0.00417408156059908[/C][/ROW]
[ROW][C]0.75[/C][C]0.754415530365767[/C][C]0.00397639067522379[/C][/ROW]
[ROW][C]0.76[/C][C]0.75517967506357[/C][C]0.00379894544918168[/C][/ROW]
[ROW][C]0.77[/C][C]0.755928725543637[/C][C]0.00365447141833674[/C][/ROW]
[ROW][C]0.78[/C][C]0.75666951144302[/C][C]0.00354976499483812[/C][/ROW]
[ROW][C]0.79[/C][C]0.757409805173087[/C][C]0.00348807015240178[/C][/ROW]
[ROW][C]0.8[/C][C]0.758157582764169[/C][C]0.00346596280401382[/C][/ROW]
[ROW][C]0.81[/C][C]0.758920309477047[/C][C]0.00347741401262376[/C][/ROW]
[ROW][C]0.82[/C][C]0.759704362996853[/C][C]0.00351259778796892[/C][/ROW]
[ROW][C]0.83[/C][C]0.760514751075411[/C][C]0.00356015377848832[/C][/ROW]
[ROW][C]0.84[/C][C]0.761355344367719[/C][C]0.00360890156853798[/C][/ROW]
[ROW][C]0.85[/C][C]0.762229904516379[/C][C]0.00364998599399917[/C][/ROW]
[ROW][C]0.86[/C][C]0.763144187706208[/C][C]0.00368204866207503[/C][/ROW]
[ROW][C]0.87[/C][C]0.764109264161454[/C][C]0.00371650112161547[/C][/ROW]
[ROW][C]0.88[/C][C]0.765145831381828[/C][C]0.00378471101652876[/C][/ROW]
[ROW][C]0.89[/C][C]0.76628867595284[/C][C]0.00393904633673576[/C][/ROW]
[ROW][C]0.9[/C][C]0.767589626512204[/C][C]0.00424771662554659[/C][/ROW]
[ROW][C]0.91[/C][C]0.769116570080735[/C][C]0.00476720920109171[/C][/ROW]
[ROW][C]0.92[/C][C]0.770945775020282[/C][C]0.00550542330357455[/C][/ROW]
[ROW][C]0.93[/C][C]0.77314538554213[/C][C]0.00639125329804893[/C][/ROW]
[ROW][C]0.94[/C][C]0.775749990901995[/C][C]0.00726526708573767[/C][/ROW]
[ROW][C]0.95[/C][C]0.77872971344898[/C][C]0.00788690738222409[/C][/ROW]
[ROW][C]0.96[/C][C]0.781961431984986[/C][C]0.00796982900653431[/C][/ROW]
[ROW][C]0.97[/C][C]0.785212583455532[/C][C]0.00727145208048262[/C][/ROW]
[ROW][C]0.98[/C][C]0.788148896464408[/C][C]0.00578323831261006[/C][/ROW]
[ROW][C]0.99[/C][C]0.790382950458139[/C][C]0.00400423686429171[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20852&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20852&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
0.010.665642395339340.00806704206807945
0.020.6698790934129310.0106299694920209
0.030.6751465086520790.0123090301141828
0.040.6806238819520510.0124459485932304
0.050.6857216177751590.0113891534982463
0.060.6901340976830970.00981681923079076
0.070.6937916716685620.00830027024347572
0.080.6967751974349690.0071539545668824
0.090.6992312480709170.00644161915833334
0.10.701309945264140.00605840453808061
0.110.7031319974558910.00585160837936879
0.120.704780022233420.0057077927494191
0.130.706304331122550.00557271000486022
0.140.707733912943110.0054411720227418
0.150.7090865411248920.00532647901833054
0.160.7103753823490950.00524675377110746
0.170.7116119702429820.00520710234702172
0.180.712806649370850.00520143170477875
0.190.7139678447167140.00521535346373372
0.20.7151012005527520.00522936552053103
0.210.7162091455201730.00522720532692751
0.220.7172910226315820.00519546191586048
0.230.7183436721223890.00512495367533723
0.240.719362266031740.00501360003496882
0.250.7203412105307070.00486031879649264
0.260.7212749930547320.00466902211124514
0.270.7221589112980720.00444576739969928
0.280.7229896591273220.00419890255733885
0.290.7237657590125050.00393968410086067
0.30.7244878308438120.00368148485088602
0.310.7251586844404920.00343856886531254
0.320.7257832258977520.00322335325264
0.330.7263681791064890.00304881255096095
0.340.7269216415438360.00292414888661582
0.350.7274525132387960.00285497076393572
0.360.727969854602150.00284254449993112
0.370.7284822386642680.00287856914166461
0.380.728997164264170.00295632692974494
0.390.7295205889651160.00306073426598087
0.40.7300566255466570.00318064978737459
0.410.7306074263111160.00330110839353087
0.420.731173257894560.00341077730438298
0.430.7317527484347820.00350096864270779
0.440.732343271159670.00356662755829737
0.450.7329414156304710.00360432971351217
0.460.7335434913727850.00361391223373589
0.470.7341460091161240.00360079869397707
0.480.7347460921320070.00356867079298507
0.490.735341783039790.003526351046397
0.50.7359322278720670.00348130491747646
0.510.7365177364697260.0034424474696507
0.520.7370997335576730.00341485591366833
0.530.7376806256677440.00340663832647441
0.540.7382636138537370.00341887074938113
0.550.7388524805518760.00345490006232621
0.560.7394513719700380.00351660688384986
0.570.74006458715970.00360266377962244
0.580.7406963742476560.00371204095895588
0.590.7413507261017960.00384202627605716
0.60.7420311643897680.00399078789470727
0.610.742740503918340.00415314400559574
0.620.743480598231690.0043228177510815
0.630.7442520810299770.0044914423914251
0.640.7450541329440610.00465162769469096
0.650.7458843155211680.00479085213078773
0.660.7467385197547850.00489985220655994
0.670.747611071836980.00496827238586696
0.680.7484950226708180.00498925645688325
0.690.7493826214209850.00495695028472516
0.70.7502659412755160.00487380417352811
0.710.7511375942005610.00474225361762545
0.720.7519914481978410.00457251717846757
0.730.7528232516881070.00437828612260773
0.740.7536310783040340.00417408156059908
0.750.7544155303657670.00397639067522379
0.760.755179675063570.00379894544918168
0.770.7559287255436370.00365447141833674
0.780.756669511443020.00354976499483812
0.790.7574098051730870.00348807015240178
0.80.7581575827641690.00346596280401382
0.810.7589203094770470.00347741401262376
0.820.7597043629968530.00351259778796892
0.830.7605147510754110.00356015377848832
0.840.7613553443677190.00360890156853798
0.850.7622299045163790.00364998599399917
0.860.7631441877062080.00368204866207503
0.870.7641092641614540.00371650112161547
0.880.7651458313818280.00378471101652876
0.890.766288675952840.00393904633673576
0.90.7675896265122040.00424771662554659
0.910.7691165700807350.00476720920109171
0.920.7709457750202820.00550542330357455
0.930.773145385542130.00639125329804893
0.940.7757499909019950.00726526708573767
0.950.778729713448980.00788690738222409
0.960.7819614319849860.00796982900653431
0.970.7852125834555320.00727145208048262
0.980.7881488964644080.00578323831261006
0.990.7903829504581390.00400423686429171


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 ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')