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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 06 Oct 2016 14:01:42 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/06/t1475758938qn11mhtv54y6og8.htm/, Retrieved Sat, 04 May 2024 19:55:15 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 19:55:15 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
95,97
96,22
95,8
96,02
96,04
96,15
96,15
95,99
96,08
96,29
96,3
96,44
96,44
96,83
96,7
97,06
97,64
97,61
97,61
97,61
97,55
97,58
97,79
97,79
97,79
97,79
98
98,37
98,68
98,89
98,89
98,89
98,88
98,97
99,05
99,05
99
99,03
99,2
100,3
100,79
100,75
100,75
100,17
99,98
99,93
100,04
100,04
100,49
100,71
100,7
101,27
101,07
101,17
100,71
100,59
100,52
100,65
100,62
100,62
100,59
100,42
100,55
100,41
100,4
99,93
100,26
100,34
100,24
99,98
100,08
100,24

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

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0195.84500135439680.132135208693811
0.0295.90424035999440.0895561925126584
0.0395.95522689674310.0617679093272876
0.0495.99329192383390.0537676067755985
0.0596.02316167808440.058472623243044
0.0696.05025263683850.0684490055366567
0.0796.07787719397960.0805792954759904
0.0896.1076270339730.0942699045085979
0.0996.1403202966050.109947467287857
0.196.17663689645460.129072978975605
0.1196.21740093676560.152938314106145
0.1296.26363214017470.182349924574229
0.1396.31645884206120.217744320206512
0.1496.37694902475740.258438135666864
0.1596.44590109299090.302622804207776
0.1696.52363458911410.347343863025752
0.1796.60982317787350.389581261281101
0.1896.70341014587320.425423856946802
0.1996.80263537815230.451404637009281
0.296.90518202450270.465474500189908
0.2197.00842545350720.466414190746443
0.2297.10974394887310.454840466712076
0.2397.20683680925860.432786045719545
0.2497.29799481947370.403680795141892
0.2597.38227993769970.371595643717497
0.2697.45959125447490.340919137504137
0.2797.5306167181720.31568047753864
0.2897.59668905296610.299306631873396
0.2997.65957611449330.293891862621323
0.397.72123985881020.299945693775452
0.3197.78359574202140.316214615226913
0.3297.84829848604770.340216741081867
0.3397.91657332577710.368787440188956
0.3497.98910559182260.398640780697969
0.3598.06599599899570.426291701993497
0.3698.14678368686630.448917915116946
0.3798.23053319131710.464265735243452
0.3898.31597496714510.470842398986416
0.3998.40168249716650.468531281510761
0.498.48626369710430.458087786607604
0.4198.56854165777560.44118967322898
0.4298.64770071721580.420426452710097
0.4398.72337857649170.398688701261351
0.4498.79569294639020.379244377964044
0.4598.86520068086890.364756378353377
0.4698.93279690807670.357127876007655
0.4798.99956983036830.357316253536846
0.4899.06663253165030.364779627309895
0.4999.13495567397310.377812656245702
0.599.2052241950750.393920662248335
0.5199.27773721493240.410237844909952
0.5299.35236383163980.42389806953569
0.5399.42855916912990.43248640085333
0.5499.50543607892260.434328741770513
0.5599.58187967212960.428507788559664
0.5699.65668577293460.415171046768722
0.5799.72870157991290.394885804815785
0.5899.79694785655380.369317590208024
0.5999.8607066169490.340297044625282
0.699.91956549723660.309778787441485
0.6199.97341820456750.279597963101215
0.62100.0224278424160.251311369988779
0.63100.0669650487850.226015629582131
0.64100.1075349413730.204198550677361
0.65100.1447058525110.18594824571982
0.66100.1790494984090.171168424503763
0.67100.2110977401330.159109435708447
0.68100.2413166926910.149550595862711
0.69100.2700955806130.141812523203095
0.7100.2977459121670.135618428557716
0.71100.3245062574260.130457616777515
0.72100.3505488202350.125991425650254
0.73100.3759855743470.122029884809687
0.74100.4008734678620.118228110651132
0.75100.4252196529580.114404519471819
0.76100.4489885471630.110308336791163
0.77100.4721125652740.105830311256337
0.78100.4945074949110.100873097115825
0.79100.5160918354380.0954366915857294
0.8100.5368073695810.0896574244583382
0.81100.556636489540.0838539688262772
0.82100.5756112675060.0782439535902389
0.83100.5938108011010.0731279043284015
0.84100.6113473992930.068695791233473
0.85100.6283483704150.0649061912087735
0.86100.6449473909790.0616344736512331
0.87100.6613059511190.0587081583328058
0.88100.6776889102540.0561911034694311
0.89100.6946147957070.054521414729356
0.9100.7130829352140.0551928983759567
0.91100.7348322865520.0606128452540755
0.92100.7625008139910.0739281962380085
0.93100.7994513634280.0966687192143757
0.94100.8490042423990.126835321297406
0.95100.9130261136040.157044969241658
0.96100.9903218414290.175275825134586
0.97101.075670404320.17045581594526
0.98101.1598280239590.14260893107964
0.99101.2297111261290.111051631745159
1101.27NA

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 95.8450013543968 & 0.132135208693811 \tabularnewline
0.02 & 95.9042403599944 & 0.0895561925126584 \tabularnewline
0.03 & 95.9552268967431 & 0.0617679093272876 \tabularnewline
0.04 & 95.9932919238339 & 0.0537676067755985 \tabularnewline
0.05 & 96.0231616780844 & 0.058472623243044 \tabularnewline
0.06 & 96.0502526368385 & 0.0684490055366567 \tabularnewline
0.07 & 96.0778771939796 & 0.0805792954759904 \tabularnewline
0.08 & 96.107627033973 & 0.0942699045085979 \tabularnewline
0.09 & 96.140320296605 & 0.109947467287857 \tabularnewline
0.1 & 96.1766368964546 & 0.129072978975605 \tabularnewline
0.11 & 96.2174009367656 & 0.152938314106145 \tabularnewline
0.12 & 96.2636321401747 & 0.182349924574229 \tabularnewline
0.13 & 96.3164588420612 & 0.217744320206512 \tabularnewline
0.14 & 96.3769490247574 & 0.258438135666864 \tabularnewline
0.15 & 96.4459010929909 & 0.302622804207776 \tabularnewline
0.16 & 96.5236345891141 & 0.347343863025752 \tabularnewline
0.17 & 96.6098231778735 & 0.389581261281101 \tabularnewline
0.18 & 96.7034101458732 & 0.425423856946802 \tabularnewline
0.19 & 96.8026353781523 & 0.451404637009281 \tabularnewline
0.2 & 96.9051820245027 & 0.465474500189908 \tabularnewline
0.21 & 97.0084254535072 & 0.466414190746443 \tabularnewline
0.22 & 97.1097439488731 & 0.454840466712076 \tabularnewline
0.23 & 97.2068368092586 & 0.432786045719545 \tabularnewline
0.24 & 97.2979948194737 & 0.403680795141892 \tabularnewline
0.25 & 97.3822799376997 & 0.371595643717497 \tabularnewline
0.26 & 97.4595912544749 & 0.340919137504137 \tabularnewline
0.27 & 97.530616718172 & 0.31568047753864 \tabularnewline
0.28 & 97.5966890529661 & 0.299306631873396 \tabularnewline
0.29 & 97.6595761144933 & 0.293891862621323 \tabularnewline
0.3 & 97.7212398588102 & 0.299945693775452 \tabularnewline
0.31 & 97.7835957420214 & 0.316214615226913 \tabularnewline
0.32 & 97.8482984860477 & 0.340216741081867 \tabularnewline
0.33 & 97.9165733257771 & 0.368787440188956 \tabularnewline
0.34 & 97.9891055918226 & 0.398640780697969 \tabularnewline
0.35 & 98.0659959989957 & 0.426291701993497 \tabularnewline
0.36 & 98.1467836868663 & 0.448917915116946 \tabularnewline
0.37 & 98.2305331913171 & 0.464265735243452 \tabularnewline
0.38 & 98.3159749671451 & 0.470842398986416 \tabularnewline
0.39 & 98.4016824971665 & 0.468531281510761 \tabularnewline
0.4 & 98.4862636971043 & 0.458087786607604 \tabularnewline
0.41 & 98.5685416577756 & 0.44118967322898 \tabularnewline
0.42 & 98.6477007172158 & 0.420426452710097 \tabularnewline
0.43 & 98.7233785764917 & 0.398688701261351 \tabularnewline
0.44 & 98.7956929463902 & 0.379244377964044 \tabularnewline
0.45 & 98.8652006808689 & 0.364756378353377 \tabularnewline
0.46 & 98.9327969080767 & 0.357127876007655 \tabularnewline
0.47 & 98.9995698303683 & 0.357316253536846 \tabularnewline
0.48 & 99.0666325316503 & 0.364779627309895 \tabularnewline
0.49 & 99.1349556739731 & 0.377812656245702 \tabularnewline
0.5 & 99.205224195075 & 0.393920662248335 \tabularnewline
0.51 & 99.2777372149324 & 0.410237844909952 \tabularnewline
0.52 & 99.3523638316398 & 0.42389806953569 \tabularnewline
0.53 & 99.4285591691299 & 0.43248640085333 \tabularnewline
0.54 & 99.5054360789226 & 0.434328741770513 \tabularnewline
0.55 & 99.5818796721296 & 0.428507788559664 \tabularnewline
0.56 & 99.6566857729346 & 0.415171046768722 \tabularnewline
0.57 & 99.7287015799129 & 0.394885804815785 \tabularnewline
0.58 & 99.7969478565538 & 0.369317590208024 \tabularnewline
0.59 & 99.860706616949 & 0.340297044625282 \tabularnewline
0.6 & 99.9195654972366 & 0.309778787441485 \tabularnewline
0.61 & 99.9734182045675 & 0.279597963101215 \tabularnewline
0.62 & 100.022427842416 & 0.251311369988779 \tabularnewline
0.63 & 100.066965048785 & 0.226015629582131 \tabularnewline
0.64 & 100.107534941373 & 0.204198550677361 \tabularnewline
0.65 & 100.144705852511 & 0.18594824571982 \tabularnewline
0.66 & 100.179049498409 & 0.171168424503763 \tabularnewline
0.67 & 100.211097740133 & 0.159109435708447 \tabularnewline
0.68 & 100.241316692691 & 0.149550595862711 \tabularnewline
0.69 & 100.270095580613 & 0.141812523203095 \tabularnewline
0.7 & 100.297745912167 & 0.135618428557716 \tabularnewline
0.71 & 100.324506257426 & 0.130457616777515 \tabularnewline
0.72 & 100.350548820235 & 0.125991425650254 \tabularnewline
0.73 & 100.375985574347 & 0.122029884809687 \tabularnewline
0.74 & 100.400873467862 & 0.118228110651132 \tabularnewline
0.75 & 100.425219652958 & 0.114404519471819 \tabularnewline
0.76 & 100.448988547163 & 0.110308336791163 \tabularnewline
0.77 & 100.472112565274 & 0.105830311256337 \tabularnewline
0.78 & 100.494507494911 & 0.100873097115825 \tabularnewline
0.79 & 100.516091835438 & 0.0954366915857294 \tabularnewline
0.8 & 100.536807369581 & 0.0896574244583382 \tabularnewline
0.81 & 100.55663648954 & 0.0838539688262772 \tabularnewline
0.82 & 100.575611267506 & 0.0782439535902389 \tabularnewline
0.83 & 100.593810801101 & 0.0731279043284015 \tabularnewline
0.84 & 100.611347399293 & 0.068695791233473 \tabularnewline
0.85 & 100.628348370415 & 0.0649061912087735 \tabularnewline
0.86 & 100.644947390979 & 0.0616344736512331 \tabularnewline
0.87 & 100.661305951119 & 0.0587081583328058 \tabularnewline
0.88 & 100.677688910254 & 0.0561911034694311 \tabularnewline
0.89 & 100.694614795707 & 0.054521414729356 \tabularnewline
0.9 & 100.713082935214 & 0.0551928983759567 \tabularnewline
0.91 & 100.734832286552 & 0.0606128452540755 \tabularnewline
0.92 & 100.762500813991 & 0.0739281962380085 \tabularnewline
0.93 & 100.799451363428 & 0.0966687192143757 \tabularnewline
0.94 & 100.849004242399 & 0.126835321297406 \tabularnewline
0.95 & 100.913026113604 & 0.157044969241658 \tabularnewline
0.96 & 100.990321841429 & 0.175275825134586 \tabularnewline
0.97 & 101.07567040432 & 0.17045581594526 \tabularnewline
0.98 & 101.159828023959 & 0.14260893107964 \tabularnewline
0.99 & 101.229711126129 & 0.111051631745159 \tabularnewline
1 & 101.27 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]95.8450013543968[/C][C]0.132135208693811[/C][/ROW]
[ROW][C]0.02[/C][C]95.9042403599944[/C][C]0.0895561925126584[/C][/ROW]
[ROW][C]0.03[/C][C]95.9552268967431[/C][C]0.0617679093272876[/C][/ROW]
[ROW][C]0.04[/C][C]95.9932919238339[/C][C]0.0537676067755985[/C][/ROW]
[ROW][C]0.05[/C][C]96.0231616780844[/C][C]0.058472623243044[/C][/ROW]
[ROW][C]0.06[/C][C]96.0502526368385[/C][C]0.0684490055366567[/C][/ROW]
[ROW][C]0.07[/C][C]96.0778771939796[/C][C]0.0805792954759904[/C][/ROW]
[ROW][C]0.08[/C][C]96.107627033973[/C][C]0.0942699045085979[/C][/ROW]
[ROW][C]0.09[/C][C]96.140320296605[/C][C]0.109947467287857[/C][/ROW]
[ROW][C]0.1[/C][C]96.1766368964546[/C][C]0.129072978975605[/C][/ROW]
[ROW][C]0.11[/C][C]96.2174009367656[/C][C]0.152938314106145[/C][/ROW]
[ROW][C]0.12[/C][C]96.2636321401747[/C][C]0.182349924574229[/C][/ROW]
[ROW][C]0.13[/C][C]96.3164588420612[/C][C]0.217744320206512[/C][/ROW]
[ROW][C]0.14[/C][C]96.3769490247574[/C][C]0.258438135666864[/C][/ROW]
[ROW][C]0.15[/C][C]96.4459010929909[/C][C]0.302622804207776[/C][/ROW]
[ROW][C]0.16[/C][C]96.5236345891141[/C][C]0.347343863025752[/C][/ROW]
[ROW][C]0.17[/C][C]96.6098231778735[/C][C]0.389581261281101[/C][/ROW]
[ROW][C]0.18[/C][C]96.7034101458732[/C][C]0.425423856946802[/C][/ROW]
[ROW][C]0.19[/C][C]96.8026353781523[/C][C]0.451404637009281[/C][/ROW]
[ROW][C]0.2[/C][C]96.9051820245027[/C][C]0.465474500189908[/C][/ROW]
[ROW][C]0.21[/C][C]97.0084254535072[/C][C]0.466414190746443[/C][/ROW]
[ROW][C]0.22[/C][C]97.1097439488731[/C][C]0.454840466712076[/C][/ROW]
[ROW][C]0.23[/C][C]97.2068368092586[/C][C]0.432786045719545[/C][/ROW]
[ROW][C]0.24[/C][C]97.2979948194737[/C][C]0.403680795141892[/C][/ROW]
[ROW][C]0.25[/C][C]97.3822799376997[/C][C]0.371595643717497[/C][/ROW]
[ROW][C]0.26[/C][C]97.4595912544749[/C][C]0.340919137504137[/C][/ROW]
[ROW][C]0.27[/C][C]97.530616718172[/C][C]0.31568047753864[/C][/ROW]
[ROW][C]0.28[/C][C]97.5966890529661[/C][C]0.299306631873396[/C][/ROW]
[ROW][C]0.29[/C][C]97.6595761144933[/C][C]0.293891862621323[/C][/ROW]
[ROW][C]0.3[/C][C]97.7212398588102[/C][C]0.299945693775452[/C][/ROW]
[ROW][C]0.31[/C][C]97.7835957420214[/C][C]0.316214615226913[/C][/ROW]
[ROW][C]0.32[/C][C]97.8482984860477[/C][C]0.340216741081867[/C][/ROW]
[ROW][C]0.33[/C][C]97.9165733257771[/C][C]0.368787440188956[/C][/ROW]
[ROW][C]0.34[/C][C]97.9891055918226[/C][C]0.398640780697969[/C][/ROW]
[ROW][C]0.35[/C][C]98.0659959989957[/C][C]0.426291701993497[/C][/ROW]
[ROW][C]0.36[/C][C]98.1467836868663[/C][C]0.448917915116946[/C][/ROW]
[ROW][C]0.37[/C][C]98.2305331913171[/C][C]0.464265735243452[/C][/ROW]
[ROW][C]0.38[/C][C]98.3159749671451[/C][C]0.470842398986416[/C][/ROW]
[ROW][C]0.39[/C][C]98.4016824971665[/C][C]0.468531281510761[/C][/ROW]
[ROW][C]0.4[/C][C]98.4862636971043[/C][C]0.458087786607604[/C][/ROW]
[ROW][C]0.41[/C][C]98.5685416577756[/C][C]0.44118967322898[/C][/ROW]
[ROW][C]0.42[/C][C]98.6477007172158[/C][C]0.420426452710097[/C][/ROW]
[ROW][C]0.43[/C][C]98.7233785764917[/C][C]0.398688701261351[/C][/ROW]
[ROW][C]0.44[/C][C]98.7956929463902[/C][C]0.379244377964044[/C][/ROW]
[ROW][C]0.45[/C][C]98.8652006808689[/C][C]0.364756378353377[/C][/ROW]
[ROW][C]0.46[/C][C]98.9327969080767[/C][C]0.357127876007655[/C][/ROW]
[ROW][C]0.47[/C][C]98.9995698303683[/C][C]0.357316253536846[/C][/ROW]
[ROW][C]0.48[/C][C]99.0666325316503[/C][C]0.364779627309895[/C][/ROW]
[ROW][C]0.49[/C][C]99.1349556739731[/C][C]0.377812656245702[/C][/ROW]
[ROW][C]0.5[/C][C]99.205224195075[/C][C]0.393920662248335[/C][/ROW]
[ROW][C]0.51[/C][C]99.2777372149324[/C][C]0.410237844909952[/C][/ROW]
[ROW][C]0.52[/C][C]99.3523638316398[/C][C]0.42389806953569[/C][/ROW]
[ROW][C]0.53[/C][C]99.4285591691299[/C][C]0.43248640085333[/C][/ROW]
[ROW][C]0.54[/C][C]99.5054360789226[/C][C]0.434328741770513[/C][/ROW]
[ROW][C]0.55[/C][C]99.5818796721296[/C][C]0.428507788559664[/C][/ROW]
[ROW][C]0.56[/C][C]99.6566857729346[/C][C]0.415171046768722[/C][/ROW]
[ROW][C]0.57[/C][C]99.7287015799129[/C][C]0.394885804815785[/C][/ROW]
[ROW][C]0.58[/C][C]99.7969478565538[/C][C]0.369317590208024[/C][/ROW]
[ROW][C]0.59[/C][C]99.860706616949[/C][C]0.340297044625282[/C][/ROW]
[ROW][C]0.6[/C][C]99.9195654972366[/C][C]0.309778787441485[/C][/ROW]
[ROW][C]0.61[/C][C]99.9734182045675[/C][C]0.279597963101215[/C][/ROW]
[ROW][C]0.62[/C][C]100.022427842416[/C][C]0.251311369988779[/C][/ROW]
[ROW][C]0.63[/C][C]100.066965048785[/C][C]0.226015629582131[/C][/ROW]
[ROW][C]0.64[/C][C]100.107534941373[/C][C]0.204198550677361[/C][/ROW]
[ROW][C]0.65[/C][C]100.144705852511[/C][C]0.18594824571982[/C][/ROW]
[ROW][C]0.66[/C][C]100.179049498409[/C][C]0.171168424503763[/C][/ROW]
[ROW][C]0.67[/C][C]100.211097740133[/C][C]0.159109435708447[/C][/ROW]
[ROW][C]0.68[/C][C]100.241316692691[/C][C]0.149550595862711[/C][/ROW]
[ROW][C]0.69[/C][C]100.270095580613[/C][C]0.141812523203095[/C][/ROW]
[ROW][C]0.7[/C][C]100.297745912167[/C][C]0.135618428557716[/C][/ROW]
[ROW][C]0.71[/C][C]100.324506257426[/C][C]0.130457616777515[/C][/ROW]
[ROW][C]0.72[/C][C]100.350548820235[/C][C]0.125991425650254[/C][/ROW]
[ROW][C]0.73[/C][C]100.375985574347[/C][C]0.122029884809687[/C][/ROW]
[ROW][C]0.74[/C][C]100.400873467862[/C][C]0.118228110651132[/C][/ROW]
[ROW][C]0.75[/C][C]100.425219652958[/C][C]0.114404519471819[/C][/ROW]
[ROW][C]0.76[/C][C]100.448988547163[/C][C]0.110308336791163[/C][/ROW]
[ROW][C]0.77[/C][C]100.472112565274[/C][C]0.105830311256337[/C][/ROW]
[ROW][C]0.78[/C][C]100.494507494911[/C][C]0.100873097115825[/C][/ROW]
[ROW][C]0.79[/C][C]100.516091835438[/C][C]0.0954366915857294[/C][/ROW]
[ROW][C]0.8[/C][C]100.536807369581[/C][C]0.0896574244583382[/C][/ROW]
[ROW][C]0.81[/C][C]100.55663648954[/C][C]0.0838539688262772[/C][/ROW]
[ROW][C]0.82[/C][C]100.575611267506[/C][C]0.0782439535902389[/C][/ROW]
[ROW][C]0.83[/C][C]100.593810801101[/C][C]0.0731279043284015[/C][/ROW]
[ROW][C]0.84[/C][C]100.611347399293[/C][C]0.068695791233473[/C][/ROW]
[ROW][C]0.85[/C][C]100.628348370415[/C][C]0.0649061912087735[/C][/ROW]
[ROW][C]0.86[/C][C]100.644947390979[/C][C]0.0616344736512331[/C][/ROW]
[ROW][C]0.87[/C][C]100.661305951119[/C][C]0.0587081583328058[/C][/ROW]
[ROW][C]0.88[/C][C]100.677688910254[/C][C]0.0561911034694311[/C][/ROW]
[ROW][C]0.89[/C][C]100.694614795707[/C][C]0.054521414729356[/C][/ROW]
[ROW][C]0.9[/C][C]100.713082935214[/C][C]0.0551928983759567[/C][/ROW]
[ROW][C]0.91[/C][C]100.734832286552[/C][C]0.0606128452540755[/C][/ROW]
[ROW][C]0.92[/C][C]100.762500813991[/C][C]0.0739281962380085[/C][/ROW]
[ROW][C]0.93[/C][C]100.799451363428[/C][C]0.0966687192143757[/C][/ROW]
[ROW][C]0.94[/C][C]100.849004242399[/C][C]0.126835321297406[/C][/ROW]
[ROW][C]0.95[/C][C]100.913026113604[/C][C]0.157044969241658[/C][/ROW]
[ROW][C]0.96[/C][C]100.990321841429[/C][C]0.175275825134586[/C][/ROW]
[ROW][C]0.97[/C][C]101.07567040432[/C][C]0.17045581594526[/C][/ROW]
[ROW][C]0.98[/C][C]101.159828023959[/C][C]0.14260893107964[/C][/ROW]
[ROW][C]0.99[/C][C]101.229711126129[/C][C]0.111051631745159[/C][/ROW]
[ROW][C]1[/C][C]101.27[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0195.84500135439680.132135208693811
0.0295.90424035999440.0895561925126584
0.0395.95522689674310.0617679093272876
0.0495.99329192383390.0537676067755985
0.0596.02316167808440.058472623243044
0.0696.05025263683850.0684490055366567
0.0796.07787719397960.0805792954759904
0.0896.1076270339730.0942699045085979
0.0996.1403202966050.109947467287857
0.196.17663689645460.129072978975605
0.1196.21740093676560.152938314106145
0.1296.26363214017470.182349924574229
0.1396.31645884206120.217744320206512
0.1496.37694902475740.258438135666864
0.1596.44590109299090.302622804207776
0.1696.52363458911410.347343863025752
0.1796.60982317787350.389581261281101
0.1896.70341014587320.425423856946802
0.1996.80263537815230.451404637009281
0.296.90518202450270.465474500189908
0.2197.00842545350720.466414190746443
0.2297.10974394887310.454840466712076
0.2397.20683680925860.432786045719545
0.2497.29799481947370.403680795141892
0.2597.38227993769970.371595643717497
0.2697.45959125447490.340919137504137
0.2797.5306167181720.31568047753864
0.2897.59668905296610.299306631873396
0.2997.65957611449330.293891862621323
0.397.72123985881020.299945693775452
0.3197.78359574202140.316214615226913
0.3297.84829848604770.340216741081867
0.3397.91657332577710.368787440188956
0.3497.98910559182260.398640780697969
0.3598.06599599899570.426291701993497
0.3698.14678368686630.448917915116946
0.3798.23053319131710.464265735243452
0.3898.31597496714510.470842398986416
0.3998.40168249716650.468531281510761
0.498.48626369710430.458087786607604
0.4198.56854165777560.44118967322898
0.4298.64770071721580.420426452710097
0.4398.72337857649170.398688701261351
0.4498.79569294639020.379244377964044
0.4598.86520068086890.364756378353377
0.4698.93279690807670.357127876007655
0.4798.99956983036830.357316253536846
0.4899.06663253165030.364779627309895
0.4999.13495567397310.377812656245702
0.599.2052241950750.393920662248335
0.5199.27773721493240.410237844909952
0.5299.35236383163980.42389806953569
0.5399.42855916912990.43248640085333
0.5499.50543607892260.434328741770513
0.5599.58187967212960.428507788559664
0.5699.65668577293460.415171046768722
0.5799.72870157991290.394885804815785
0.5899.79694785655380.369317590208024
0.5999.8607066169490.340297044625282
0.699.91956549723660.309778787441485
0.6199.97341820456750.279597963101215
0.62100.0224278424160.251311369988779
0.63100.0669650487850.226015629582131
0.64100.1075349413730.204198550677361
0.65100.1447058525110.18594824571982
0.66100.1790494984090.171168424503763
0.67100.2110977401330.159109435708447
0.68100.2413166926910.149550595862711
0.69100.2700955806130.141812523203095
0.7100.2977459121670.135618428557716
0.71100.3245062574260.130457616777515
0.72100.3505488202350.125991425650254
0.73100.3759855743470.122029884809687
0.74100.4008734678620.118228110651132
0.75100.4252196529580.114404519471819
0.76100.4489885471630.110308336791163
0.77100.4721125652740.105830311256337
0.78100.4945074949110.100873097115825
0.79100.5160918354380.0954366915857294
0.8100.5368073695810.0896574244583382
0.81100.556636489540.0838539688262772
0.82100.5756112675060.0782439535902389
0.83100.5938108011010.0731279043284015
0.84100.6113473992930.068695791233473
0.85100.6283483704150.0649061912087735
0.86100.6449473909790.0616344736512331
0.87100.6613059511190.0587081583328058
0.88100.6776889102540.0561911034694311
0.89100.6946147957070.054521414729356
0.9100.7130829352140.0551928983759567
0.91100.7348322865520.0606128452540755
0.92100.7625008139910.0739281962380085
0.93100.7994513634280.0966687192143757
0.94100.8490042423990.126835321297406
0.95100.9130261136040.157044969241658
0.96100.9903218414290.175275825134586
0.97101.075670404320.17045581594526
0.98101.1598280239590.14260893107964
0.99101.2297111261290.111051631745159
1101.27NA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 1 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 1 ; 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')