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Description of Statistical Computation

Author's title

Quantielen van reeks gemiddelde consumptieprijzen van 1 kg aardappelen (200...

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 05 Oct 2012 14:29:34 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/05/t1349462024mnh3b4e4wp1vzn4.htm/, Retrieved Thu, 02 May 2024 13:58:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=172420, Retrieved Thu, 02 May 2024 13:58:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact150

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] [Quantielen van re...] [2012-10-05 18:29:34] [0f3161d2e950d65011422bc524c30805] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.75
0.75
0.77
0.78
0.79
1.01
1.16
1.14
1.12
1.1
1.1
1.1
1.1
1.09
1.09
1.1
1.1
1.17
1.15
1.04
0.94
0.88
0.85
0.85
0.85
0.84
0.83
0.8
0.78
1.02
1.19
1.1
0.96
0.87
0.83
0.82
0.81
0.78
0.79
0.8
0.79
0.97
1.01
0.92
0.87
0.84
0.81
0.81
0.83
0.83
0.85
0.88
0.89
1.21
1.32
1.33
1.23
1.16
1.12
1.06
1.08
1.09
1.03
1.04
1.05
1.19
1.14
1.05
0.95
0.87
0.86
0.85

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' @ yule.wessa.net

\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' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172420&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' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172420&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172420&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' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.7518379545605330.00542528038131605
0.020.7559817820205510.010761678814166
0.030.761687963270840.0128339774243328
0.040.7676838442713170.0119931579600552
0.050.7730325772292260.0100358754456538
0.060.7774177227865810.00839851339388899
0.070.7809701941339860.00763652510029279
0.080.7839863136955170.00762717969084534
0.090.7867397194466240.00803866976899433
0.10.7894143868621510.00863305508201127
0.110.7921098809606180.00929309663345578
0.120.7948693723455290.00995982111872734
0.130.7977045634848230.0105955715908556
0.140.8006109810591830.0111724202469397
0.150.8035757670241630.011672969636728
0.160.8065815146044430.0120862343526871
0.170.8096084312419750.0124065464803103
0.180.8126358316867660.0126275940310971
0.190.8156433669973770.0127458446796906
0.20.8186122100129550.0127640491123725
0.210.821526282964640.01269422452056
0.220.8243734267372070.0125582148434899
0.230.827146275116120.0123860173123549
0.240.829842621886520.0122070631939516
0.250.8324652505308290.012045920897583
0.260.8350214234623250.0119204787521673
0.270.8375223650858970.0118458322044398
0.280.8399830479060220.0118378421158999
0.290.8424224260464470.0119177406455411
0.30.8448640469254060.0121197896540679
0.310.8473368105432760.0124811930566356
0.320.8498755957804820.0130438804356453
0.330.8525215299512090.013849159378529
0.340.8553217882797340.0149305646889029
0.350.8583289071522440.0163170378817508
0.360.8615996345374010.018029172652354
0.370.8651933200667490.0200763345840396
0.380.8691698009856910.0224601610768002
0.390.8735867197533180.025161832259598
0.40.8784962543658050.0281426915925552
0.410.8839413617019850.0313380307443612
0.420.8899517989760250.0346601731512694
0.430.8965403452109070.0379951987305923
0.440.9036997365021190.0412177749679202
0.450.9114008174484970.0441987486507611
0.460.9195922907439340.0468092701476056
0.470.9282022448974240.0489409016190777
0.480.9371414050990050.0505095623602625
0.490.9463078362372890.0514597492575798
0.50.9555926680522160.0517720082581326
0.510.9648863253840290.0514581265306647
0.520.9740847245213330.0505682527990553
0.530.9830949203958630.0491758692527013
0.540.9918397397750510.0473802728701932
0.551.000261003913620.0452978722409998
0.561.008321034832340.0430494759310577
0.571.016002265249920.0407540785666686
0.581.023304943853370.0385163995132546
0.591.030243142589820.0364133639520214
0.61.036839508755490.0344880299001577
0.611.043119420832750.032747520195898
0.621.049105352690420.0311582684084582
0.631.054812280531420.0296600092436184
0.641.060244856229270.0281782285741932
0.651.065396826317440.0266403510183023
0.661.070252837731570.0249890046493564
0.671.074792403003040.0231994512848452
0.681.078995468634840.0212785447335539
0.691.082848796717630.0192726333179034
0.71.086352258812170.0172587415545933
0.711.089524148256810.0153401307843618
0.721.092404715848140.0136387234012223
0.731.095057294448960.0122822034393755
0.741.097566585750470.011398864316411
0.751.100033945326980.0110878711103547
0.761.102569842124530.0113843058528193
0.771.105284096556070.0122395158625592
0.781.10827498825890.0135288256046881
0.791.111618783349480.015081551949984
0.81.115361524633860.0167098840893386
0.811.119514905903240.0182320892861662
0.821.124057603017970.0194948435633411
0.831.12894254355750.0203941529581074
0.841.134109377661850.0208948855813787
0.851.139500131710560.0210341846945785
0.861.145075118619140.0209202592938455
0.871.150826249414560.0207056784620119
0.881.156786640697420.020554480756702
0.891.163039356959940.0206023653221864
0.91.169733939816720.0209542639295064
0.911.177124599914940.0217406198723731
0.921.185641752739660.0232584009691569
0.931.195985342469020.0261284424018541
0.941.209166892706820.0312476980377519
0.951.226330615908470.0391014455744171
0.961.248132280463680.048209849574961
0.971.273645960574510.0535714544920012
0.981.299380434280590.0478308338387271
0.991.319732401121930.0286833591173934

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.751837954560533 & 0.00542528038131605 \tabularnewline
0.02 & 0.755981782020551 & 0.010761678814166 \tabularnewline
0.03 & 0.76168796327084 & 0.0128339774243328 \tabularnewline
0.04 & 0.767683844271317 & 0.0119931579600552 \tabularnewline
0.05 & 0.773032577229226 & 0.0100358754456538 \tabularnewline
0.06 & 0.777417722786581 & 0.00839851339388899 \tabularnewline
0.07 & 0.780970194133986 & 0.00763652510029279 \tabularnewline
0.08 & 0.783986313695517 & 0.00762717969084534 \tabularnewline
0.09 & 0.786739719446624 & 0.00803866976899433 \tabularnewline
0.1 & 0.789414386862151 & 0.00863305508201127 \tabularnewline
0.11 & 0.792109880960618 & 0.00929309663345578 \tabularnewline
0.12 & 0.794869372345529 & 0.00995982111872734 \tabularnewline
0.13 & 0.797704563484823 & 0.0105955715908556 \tabularnewline
0.14 & 0.800610981059183 & 0.0111724202469397 \tabularnewline
0.15 & 0.803575767024163 & 0.011672969636728 \tabularnewline
0.16 & 0.806581514604443 & 0.0120862343526871 \tabularnewline
0.17 & 0.809608431241975 & 0.0124065464803103 \tabularnewline
0.18 & 0.812635831686766 & 0.0126275940310971 \tabularnewline
0.19 & 0.815643366997377 & 0.0127458446796906 \tabularnewline
0.2 & 0.818612210012955 & 0.0127640491123725 \tabularnewline
0.21 & 0.82152628296464 & 0.01269422452056 \tabularnewline
0.22 & 0.824373426737207 & 0.0125582148434899 \tabularnewline
0.23 & 0.82714627511612 & 0.0123860173123549 \tabularnewline
0.24 & 0.82984262188652 & 0.0122070631939516 \tabularnewline
0.25 & 0.832465250530829 & 0.012045920897583 \tabularnewline
0.26 & 0.835021423462325 & 0.0119204787521673 \tabularnewline
0.27 & 0.837522365085897 & 0.0118458322044398 \tabularnewline
0.28 & 0.839983047906022 & 0.0118378421158999 \tabularnewline
0.29 & 0.842422426046447 & 0.0119177406455411 \tabularnewline
0.3 & 0.844864046925406 & 0.0121197896540679 \tabularnewline
0.31 & 0.847336810543276 & 0.0124811930566356 \tabularnewline
0.32 & 0.849875595780482 & 0.0130438804356453 \tabularnewline
0.33 & 0.852521529951209 & 0.013849159378529 \tabularnewline
0.34 & 0.855321788279734 & 0.0149305646889029 \tabularnewline
0.35 & 0.858328907152244 & 0.0163170378817508 \tabularnewline
0.36 & 0.861599634537401 & 0.018029172652354 \tabularnewline
0.37 & 0.865193320066749 & 0.0200763345840396 \tabularnewline
0.38 & 0.869169800985691 & 0.0224601610768002 \tabularnewline
0.39 & 0.873586719753318 & 0.025161832259598 \tabularnewline
0.4 & 0.878496254365805 & 0.0281426915925552 \tabularnewline
0.41 & 0.883941361701985 & 0.0313380307443612 \tabularnewline
0.42 & 0.889951798976025 & 0.0346601731512694 \tabularnewline
0.43 & 0.896540345210907 & 0.0379951987305923 \tabularnewline
0.44 & 0.903699736502119 & 0.0412177749679202 \tabularnewline
0.45 & 0.911400817448497 & 0.0441987486507611 \tabularnewline
0.46 & 0.919592290743934 & 0.0468092701476056 \tabularnewline
0.47 & 0.928202244897424 & 0.0489409016190777 \tabularnewline
0.48 & 0.937141405099005 & 0.0505095623602625 \tabularnewline
0.49 & 0.946307836237289 & 0.0514597492575798 \tabularnewline
0.5 & 0.955592668052216 & 0.0517720082581326 \tabularnewline
0.51 & 0.964886325384029 & 0.0514581265306647 \tabularnewline
0.52 & 0.974084724521333 & 0.0505682527990553 \tabularnewline
0.53 & 0.983094920395863 & 0.0491758692527013 \tabularnewline
0.54 & 0.991839739775051 & 0.0473802728701932 \tabularnewline
0.55 & 1.00026100391362 & 0.0452978722409998 \tabularnewline
0.56 & 1.00832103483234 & 0.0430494759310577 \tabularnewline
0.57 & 1.01600226524992 & 0.0407540785666686 \tabularnewline
0.58 & 1.02330494385337 & 0.0385163995132546 \tabularnewline
0.59 & 1.03024314258982 & 0.0364133639520214 \tabularnewline
0.6 & 1.03683950875549 & 0.0344880299001577 \tabularnewline
0.61 & 1.04311942083275 & 0.032747520195898 \tabularnewline
0.62 & 1.04910535269042 & 0.0311582684084582 \tabularnewline
0.63 & 1.05481228053142 & 0.0296600092436184 \tabularnewline
0.64 & 1.06024485622927 & 0.0281782285741932 \tabularnewline
0.65 & 1.06539682631744 & 0.0266403510183023 \tabularnewline
0.66 & 1.07025283773157 & 0.0249890046493564 \tabularnewline
0.67 & 1.07479240300304 & 0.0231994512848452 \tabularnewline
0.68 & 1.07899546863484 & 0.0212785447335539 \tabularnewline
0.69 & 1.08284879671763 & 0.0192726333179034 \tabularnewline
0.7 & 1.08635225881217 & 0.0172587415545933 \tabularnewline
0.71 & 1.08952414825681 & 0.0153401307843618 \tabularnewline
0.72 & 1.09240471584814 & 0.0136387234012223 \tabularnewline
0.73 & 1.09505729444896 & 0.0122822034393755 \tabularnewline
0.74 & 1.09756658575047 & 0.011398864316411 \tabularnewline
0.75 & 1.10003394532698 & 0.0110878711103547 \tabularnewline
0.76 & 1.10256984212453 & 0.0113843058528193 \tabularnewline
0.77 & 1.10528409655607 & 0.0122395158625592 \tabularnewline
0.78 & 1.1082749882589 & 0.0135288256046881 \tabularnewline
0.79 & 1.11161878334948 & 0.015081551949984 \tabularnewline
0.8 & 1.11536152463386 & 0.0167098840893386 \tabularnewline
0.81 & 1.11951490590324 & 0.0182320892861662 \tabularnewline
0.82 & 1.12405760301797 & 0.0194948435633411 \tabularnewline
0.83 & 1.1289425435575 & 0.0203941529581074 \tabularnewline
0.84 & 1.13410937766185 & 0.0208948855813787 \tabularnewline
0.85 & 1.13950013171056 & 0.0210341846945785 \tabularnewline
0.86 & 1.14507511861914 & 0.0209202592938455 \tabularnewline
0.87 & 1.15082624941456 & 0.0207056784620119 \tabularnewline
0.88 & 1.15678664069742 & 0.020554480756702 \tabularnewline
0.89 & 1.16303935695994 & 0.0206023653221864 \tabularnewline
0.9 & 1.16973393981672 & 0.0209542639295064 \tabularnewline
0.91 & 1.17712459991494 & 0.0217406198723731 \tabularnewline
0.92 & 1.18564175273966 & 0.0232584009691569 \tabularnewline
0.93 & 1.19598534246902 & 0.0261284424018541 \tabularnewline
0.94 & 1.20916689270682 & 0.0312476980377519 \tabularnewline
0.95 & 1.22633061590847 & 0.0391014455744171 \tabularnewline
0.96 & 1.24813228046368 & 0.048209849574961 \tabularnewline
0.97 & 1.27364596057451 & 0.0535714544920012 \tabularnewline
0.98 & 1.29938043428059 & 0.0478308338387271 \tabularnewline
0.99 & 1.31973240112193 & 0.0286833591173934 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=172420&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]0.751837954560533[/C][C]0.00542528038131605[/C][/ROW]
[ROW][C]0.02[/C][C]0.755981782020551[/C][C]0.010761678814166[/C][/ROW]
[ROW][C]0.03[/C][C]0.76168796327084[/C][C]0.0128339774243328[/C][/ROW]
[ROW][C]0.04[/C][C]0.767683844271317[/C][C]0.0119931579600552[/C][/ROW]
[ROW][C]0.05[/C][C]0.773032577229226[/C][C]0.0100358754456538[/C][/ROW]
[ROW][C]0.06[/C][C]0.777417722786581[/C][C]0.00839851339388899[/C][/ROW]
[ROW][C]0.07[/C][C]0.780970194133986[/C][C]0.00763652510029279[/C][/ROW]
[ROW][C]0.08[/C][C]0.783986313695517[/C][C]0.00762717969084534[/C][/ROW]
[ROW][C]0.09[/C][C]0.786739719446624[/C][C]0.00803866976899433[/C][/ROW]
[ROW][C]0.1[/C][C]0.789414386862151[/C][C]0.00863305508201127[/C][/ROW]
[ROW][C]0.11[/C][C]0.792109880960618[/C][C]0.00929309663345578[/C][/ROW]
[ROW][C]0.12[/C][C]0.794869372345529[/C][C]0.00995982111872734[/C][/ROW]
[ROW][C]0.13[/C][C]0.797704563484823[/C][C]0.0105955715908556[/C][/ROW]
[ROW][C]0.14[/C][C]0.800610981059183[/C][C]0.0111724202469397[/C][/ROW]
[ROW][C]0.15[/C][C]0.803575767024163[/C][C]0.011672969636728[/C][/ROW]
[ROW][C]0.16[/C][C]0.806581514604443[/C][C]0.0120862343526871[/C][/ROW]
[ROW][C]0.17[/C][C]0.809608431241975[/C][C]0.0124065464803103[/C][/ROW]
[ROW][C]0.18[/C][C]0.812635831686766[/C][C]0.0126275940310971[/C][/ROW]
[ROW][C]0.19[/C][C]0.815643366997377[/C][C]0.0127458446796906[/C][/ROW]
[ROW][C]0.2[/C][C]0.818612210012955[/C][C]0.0127640491123725[/C][/ROW]
[ROW][C]0.21[/C][C]0.82152628296464[/C][C]0.01269422452056[/C][/ROW]
[ROW][C]0.22[/C][C]0.824373426737207[/C][C]0.0125582148434899[/C][/ROW]
[ROW][C]0.23[/C][C]0.82714627511612[/C][C]0.0123860173123549[/C][/ROW]
[ROW][C]0.24[/C][C]0.82984262188652[/C][C]0.0122070631939516[/C][/ROW]
[ROW][C]0.25[/C][C]0.832465250530829[/C][C]0.012045920897583[/C][/ROW]
[ROW][C]0.26[/C][C]0.835021423462325[/C][C]0.0119204787521673[/C][/ROW]
[ROW][C]0.27[/C][C]0.837522365085897[/C][C]0.0118458322044398[/C][/ROW]
[ROW][C]0.28[/C][C]0.839983047906022[/C][C]0.0118378421158999[/C][/ROW]
[ROW][C]0.29[/C][C]0.842422426046447[/C][C]0.0119177406455411[/C][/ROW]
[ROW][C]0.3[/C][C]0.844864046925406[/C][C]0.0121197896540679[/C][/ROW]
[ROW][C]0.31[/C][C]0.847336810543276[/C][C]0.0124811930566356[/C][/ROW]
[ROW][C]0.32[/C][C]0.849875595780482[/C][C]0.0130438804356453[/C][/ROW]
[ROW][C]0.33[/C][C]0.852521529951209[/C][C]0.013849159378529[/C][/ROW]
[ROW][C]0.34[/C][C]0.855321788279734[/C][C]0.0149305646889029[/C][/ROW]
[ROW][C]0.35[/C][C]0.858328907152244[/C][C]0.0163170378817508[/C][/ROW]
[ROW][C]0.36[/C][C]0.861599634537401[/C][C]0.018029172652354[/C][/ROW]
[ROW][C]0.37[/C][C]0.865193320066749[/C][C]0.0200763345840396[/C][/ROW]
[ROW][C]0.38[/C][C]0.869169800985691[/C][C]0.0224601610768002[/C][/ROW]
[ROW][C]0.39[/C][C]0.873586719753318[/C][C]0.025161832259598[/C][/ROW]
[ROW][C]0.4[/C][C]0.878496254365805[/C][C]0.0281426915925552[/C][/ROW]
[ROW][C]0.41[/C][C]0.883941361701985[/C][C]0.0313380307443612[/C][/ROW]
[ROW][C]0.42[/C][C]0.889951798976025[/C][C]0.0346601731512694[/C][/ROW]
[ROW][C]0.43[/C][C]0.896540345210907[/C][C]0.0379951987305923[/C][/ROW]
[ROW][C]0.44[/C][C]0.903699736502119[/C][C]0.0412177749679202[/C][/ROW]
[ROW][C]0.45[/C][C]0.911400817448497[/C][C]0.0441987486507611[/C][/ROW]
[ROW][C]0.46[/C][C]0.919592290743934[/C][C]0.0468092701476056[/C][/ROW]
[ROW][C]0.47[/C][C]0.928202244897424[/C][C]0.0489409016190777[/C][/ROW]
[ROW][C]0.48[/C][C]0.937141405099005[/C][C]0.0505095623602625[/C][/ROW]
[ROW][C]0.49[/C][C]0.946307836237289[/C][C]0.0514597492575798[/C][/ROW]
[ROW][C]0.5[/C][C]0.955592668052216[/C][C]0.0517720082581326[/C][/ROW]
[ROW][C]0.51[/C][C]0.964886325384029[/C][C]0.0514581265306647[/C][/ROW]
[ROW][C]0.52[/C][C]0.974084724521333[/C][C]0.0505682527990553[/C][/ROW]
[ROW][C]0.53[/C][C]0.983094920395863[/C][C]0.0491758692527013[/C][/ROW]
[ROW][C]0.54[/C][C]0.991839739775051[/C][C]0.0473802728701932[/C][/ROW]
[ROW][C]0.55[/C][C]1.00026100391362[/C][C]0.0452978722409998[/C][/ROW]
[ROW][C]0.56[/C][C]1.00832103483234[/C][C]0.0430494759310577[/C][/ROW]
[ROW][C]0.57[/C][C]1.01600226524992[/C][C]0.0407540785666686[/C][/ROW]
[ROW][C]0.58[/C][C]1.02330494385337[/C][C]0.0385163995132546[/C][/ROW]
[ROW][C]0.59[/C][C]1.03024314258982[/C][C]0.0364133639520214[/C][/ROW]
[ROW][C]0.6[/C][C]1.03683950875549[/C][C]0.0344880299001577[/C][/ROW]
[ROW][C]0.61[/C][C]1.04311942083275[/C][C]0.032747520195898[/C][/ROW]
[ROW][C]0.62[/C][C]1.04910535269042[/C][C]0.0311582684084582[/C][/ROW]
[ROW][C]0.63[/C][C]1.05481228053142[/C][C]0.0296600092436184[/C][/ROW]
[ROW][C]0.64[/C][C]1.06024485622927[/C][C]0.0281782285741932[/C][/ROW]
[ROW][C]0.65[/C][C]1.06539682631744[/C][C]0.0266403510183023[/C][/ROW]
[ROW][C]0.66[/C][C]1.07025283773157[/C][C]0.0249890046493564[/C][/ROW]
[ROW][C]0.67[/C][C]1.07479240300304[/C][C]0.0231994512848452[/C][/ROW]
[ROW][C]0.68[/C][C]1.07899546863484[/C][C]0.0212785447335539[/C][/ROW]
[ROW][C]0.69[/C][C]1.08284879671763[/C][C]0.0192726333179034[/C][/ROW]
[ROW][C]0.7[/C][C]1.08635225881217[/C][C]0.0172587415545933[/C][/ROW]
[ROW][C]0.71[/C][C]1.08952414825681[/C][C]0.0153401307843618[/C][/ROW]
[ROW][C]0.72[/C][C]1.09240471584814[/C][C]0.0136387234012223[/C][/ROW]
[ROW][C]0.73[/C][C]1.09505729444896[/C][C]0.0122822034393755[/C][/ROW]
[ROW][C]0.74[/C][C]1.09756658575047[/C][C]0.011398864316411[/C][/ROW]
[ROW][C]0.75[/C][C]1.10003394532698[/C][C]0.0110878711103547[/C][/ROW]
[ROW][C]0.76[/C][C]1.10256984212453[/C][C]0.0113843058528193[/C][/ROW]
[ROW][C]0.77[/C][C]1.10528409655607[/C][C]0.0122395158625592[/C][/ROW]
[ROW][C]0.78[/C][C]1.1082749882589[/C][C]0.0135288256046881[/C][/ROW]
[ROW][C]0.79[/C][C]1.11161878334948[/C][C]0.015081551949984[/C][/ROW]
[ROW][C]0.8[/C][C]1.11536152463386[/C][C]0.0167098840893386[/C][/ROW]
[ROW][C]0.81[/C][C]1.11951490590324[/C][C]0.0182320892861662[/C][/ROW]
[ROW][C]0.82[/C][C]1.12405760301797[/C][C]0.0194948435633411[/C][/ROW]
[ROW][C]0.83[/C][C]1.1289425435575[/C][C]0.0203941529581074[/C][/ROW]
[ROW][C]0.84[/C][C]1.13410937766185[/C][C]0.0208948855813787[/C][/ROW]
[ROW][C]0.85[/C][C]1.13950013171056[/C][C]0.0210341846945785[/C][/ROW]
[ROW][C]0.86[/C][C]1.14507511861914[/C][C]0.0209202592938455[/C][/ROW]
[ROW][C]0.87[/C][C]1.15082624941456[/C][C]0.0207056784620119[/C][/ROW]
[ROW][C]0.88[/C][C]1.15678664069742[/C][C]0.020554480756702[/C][/ROW]
[ROW][C]0.89[/C][C]1.16303935695994[/C][C]0.0206023653221864[/C][/ROW]
[ROW][C]0.9[/C][C]1.16973393981672[/C][C]0.0209542639295064[/C][/ROW]
[ROW][C]0.91[/C][C]1.17712459991494[/C][C]0.0217406198723731[/C][/ROW]
[ROW][C]0.92[/C][C]1.18564175273966[/C][C]0.0232584009691569[/C][/ROW]
[ROW][C]0.93[/C][C]1.19598534246902[/C][C]0.0261284424018541[/C][/ROW]
[ROW][C]0.94[/C][C]1.20916689270682[/C][C]0.0312476980377519[/C][/ROW]
[ROW][C]0.95[/C][C]1.22633061590847[/C][C]0.0391014455744171[/C][/ROW]
[ROW][C]0.96[/C][C]1.24813228046368[/C][C]0.048209849574961[/C][/ROW]
[ROW][C]0.97[/C][C]1.27364596057451[/C][C]0.0535714544920012[/C][/ROW]
[ROW][C]0.98[/C][C]1.29938043428059[/C][C]0.0478308338387271[/C][/ROW]
[ROW][C]0.99[/C][C]1.31973240112193[/C][C]0.0286833591173934[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=172420&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=172420&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
0.010.7518379545605330.00542528038131605
0.020.7559817820205510.010761678814166
0.030.761687963270840.0128339774243328
0.040.7676838442713170.0119931579600552
0.050.7730325772292260.0100358754456538
0.060.7774177227865810.00839851339388899
0.070.7809701941339860.00763652510029279
0.080.7839863136955170.00762717969084534
0.090.7867397194466240.00803866976899433
0.10.7894143868621510.00863305508201127
0.110.7921098809606180.00929309663345578
0.120.7948693723455290.00995982111872734
0.130.7977045634848230.0105955715908556
0.140.8006109810591830.0111724202469397
0.150.8035757670241630.011672969636728
0.160.8065815146044430.0120862343526871
0.170.8096084312419750.0124065464803103
0.180.8126358316867660.0126275940310971
0.190.8156433669973770.0127458446796906
0.20.8186122100129550.0127640491123725
0.210.821526282964640.01269422452056
0.220.8243734267372070.0125582148434899
0.230.827146275116120.0123860173123549
0.240.829842621886520.0122070631939516
0.250.8324652505308290.012045920897583
0.260.8350214234623250.0119204787521673
0.270.8375223650858970.0118458322044398
0.280.8399830479060220.0118378421158999
0.290.8424224260464470.0119177406455411
0.30.8448640469254060.0121197896540679
0.310.8473368105432760.0124811930566356
0.320.8498755957804820.0130438804356453
0.330.8525215299512090.013849159378529
0.340.8553217882797340.0149305646889029
0.350.8583289071522440.0163170378817508
0.360.8615996345374010.018029172652354
0.370.8651933200667490.0200763345840396
0.380.8691698009856910.0224601610768002
0.390.8735867197533180.025161832259598
0.40.8784962543658050.0281426915925552
0.410.8839413617019850.0313380307443612
0.420.8899517989760250.0346601731512694
0.430.8965403452109070.0379951987305923
0.440.9036997365021190.0412177749679202
0.450.9114008174484970.0441987486507611
0.460.9195922907439340.0468092701476056
0.470.9282022448974240.0489409016190777
0.480.9371414050990050.0505095623602625
0.490.9463078362372890.0514597492575798
0.50.9555926680522160.0517720082581326
0.510.9648863253840290.0514581265306647
0.520.9740847245213330.0505682527990553
0.530.9830949203958630.0491758692527013
0.540.9918397397750510.0473802728701932
0.551.000261003913620.0452978722409998
0.561.008321034832340.0430494759310577
0.571.016002265249920.0407540785666686
0.581.023304943853370.0385163995132546
0.591.030243142589820.0364133639520214
0.61.036839508755490.0344880299001577
0.611.043119420832750.032747520195898
0.621.049105352690420.0311582684084582
0.631.054812280531420.0296600092436184
0.641.060244856229270.0281782285741932
0.651.065396826317440.0266403510183023
0.661.070252837731570.0249890046493564
0.671.074792403003040.0231994512848452
0.681.078995468634840.0212785447335539
0.691.082848796717630.0192726333179034
0.71.086352258812170.0172587415545933
0.711.089524148256810.0153401307843618
0.721.092404715848140.0136387234012223
0.731.095057294448960.0122822034393755
0.741.097566585750470.011398864316411
0.751.100033945326980.0110878711103547
0.761.102569842124530.0113843058528193
0.771.105284096556070.0122395158625592
0.781.10827498825890.0135288256046881
0.791.111618783349480.015081551949984
0.81.115361524633860.0167098840893386
0.811.119514905903240.0182320892861662
0.821.124057603017970.0194948435633411
0.831.12894254355750.0203941529581074
0.841.134109377661850.0208948855813787
0.851.139500131710560.0210341846945785
0.861.145075118619140.0209202592938455
0.871.150826249414560.0207056784620119
0.881.156786640697420.020554480756702
0.891.163039356959940.0206023653221864
0.91.169733939816720.0209542639295064
0.911.177124599914940.0217406198723731
0.921.185641752739660.0232584009691569
0.931.195985342469020.0261284424018541
0.941.209166892706820.0312476980377519
0.951.226330615908470.0391014455744171
0.961.248132280463680.048209849574961
0.971.273645960574510.0535714544920012
0.981.299380434280590.0478308338387271
0.991.319732401121930.0286833591173934


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')