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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 19 Oct 2008 13:18:10 -0600
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/Oct/19/t1224443932r68bjndqialpvth.htm/, Retrieved Fri, 17 May 2024 04:50:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17074, Retrieved Fri, 17 May 2024 04:50:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [blog 1e tijdreeks...] [2008-10-13 19:23:31] [7173087adebe3e3a714c80ea2417b3eb]
-   PD  [Univariate Data Series] [tijdreeksen opnie...] [2008-10-19 17:21:24] [7173087adebe3e3a714c80ea2417b3eb]
-   PD    [Univariate Data Series] [tijdreeksen opnie...] [2008-10-19 19:01:42] [7173087adebe3e3a714c80ea2417b3eb]
- RM          [Harrell-Davis Quantiles] [harrel and davis ...] [2008-10-19 19:18:10] [95d95b0e883740fcbc85e18ec42dcafb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3180
4151
4023
3431
3874
2617
3580
5267
3832
3441
3228
3397
3971
4625
4486
4131
4686
3174
4282
4209
4159
3936
3153
3620
4227
4441
4808
4850
5040
3546
4669
5410
5134
4864
3999
4459
4622
5360
4658
5173
4845
3325
4720
4895
5071
4895
3805
4187
4435
4475
4774
5161
4529
3284
4303
4610
4691
4200
3471
3132

Tables (Output of Computation)





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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17074&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17074&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17074&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012720.9723627253411.966686334209
0.022859.34175235681286.851071835494
0.032983.19948987379177.526096212968
0.043072.37252101346104.762224836838
0.053129.8518679295468.4986007204851
0.063166.9618285071259.1337482672513
0.073194.0040916097863.4847902213921
0.083217.4817865301972.352895447206
0.093240.6117866314981.7086909110179
0.13264.5873220594689.9040422499053
0.113289.5891675971196.402449977976
0.123315.39913374159101.295037421056
0.133341.72661032171105.105458164224
0.143368.36485798465108.574847283071
0.153395.24897705330112.478585448998
0.163422.45486751181117.448875092337
0.173450.1628459203123.836460117724
0.183478.60315365101131.639229772955
0.193507.99734655329140.530223643741
0.23538.50669613686149.931104367352
0.213570.19541518636159.164832492285
0.223603.0128138888167.523264555180
0.233636.79481588748174.409160038251
0.243671.28210392498179.380405978768
0.253706.14991672449182.198210878133
0.263741.04340341712182.837627233425
0.273775.61248131042181.461650310706
0.283809.54117575549178.383057075251
0.293842.56814399345173.988405313832
0.33874.49711216001168.689147419727
0.313905.19788766056162.853399028788
0.323934.60010839271156.789797627113
0.333962.68273421054150.705944749607
0.343989.46240415787144.733938558893
0.354014.98325584779138.953194867834
0.364039.30983019598133.416728183901
0.374062.52352936641128.187386340992
0.384084.72202516171123.354532040219
0.394106.02024484781119.064939634444
0.44126.55121939345115.468327819736
0.414146.46519124772112.745866920575
0.424165.92587648837111.034365045105
0.434185.10352042792110.408263657497
0.444204.165200853110.843525001977
0.454223.26354285365112.206829351011
0.464242.52546968356114.274596994435
0.474262.04273775034116.747727044126
0.484281.86577273626119.302653332054
0.494302.00179035057121.630972014184
0.54322.41746039714123.461503384914
0.514343.04560446658124.609458331859
0.524363.79476090055124.966659663141
0.534384.56003712769124.515654200863
0.544405.23357898125123.314811313305
0.554425.71322990125121.463152707007
0.564445.90846821442119.096560845212
0.574465.74337662247116.343233042595
0.584485.15706080265113.297071932837
0.594504.10244275185110.039694855299
0.64522.54459645387106.625976060834
0.614540.45972032437103.064265778234
0.624557.8354795373299.3961782553615
0.634574.6728963979895.6801315748366
0.644590.9893577570192.003745491651
0.654606.8217967121288.4829875390972
0.664622.2288219495585.2969607186017
0.674637.2905942249782.5840616979025
0.684652.1056039052280.4941243831016
0.694666.7841373069779.1164230498798
0.74681.4390244097578.4573414476221
0.714696.1750838274578.4233223659362
0.724711.0793461836178.8574762066092
0.734726.2144676993179.524668235481
0.744741.6175928477880.2042436598206
0.754757.3061981937880.713562324126
0.764773.2911512656580.9614303852415
0.774789.5954744902380.9958125538312
0.784806.2753853970681.012673516861
0.794823.4385039714481.3447259049884
0.84841.2531944449582.3981001111317
0.814859.9433774146184.557946253311
0.824879.7652209866988.0120446613141
0.834900.9660062014692.6721581186708
0.844923.7307928970898.0627525495721
0.854948.12832788041103.419052663018
0.864974.07240566725107.790719367032
0.875001.31668680197110.261648459020
0.885029.49780593677110.193988060632
0.895058.23185677188107.438136479347
0.95087.25246422831102.508129072029
0.915116.5561936410996.6240459198516
0.925146.4982601844991.541767155251
0.935177.7688255573188.9755932921263
0.945211.191893157889.527313389968
0.955247.3343924361791.6995464507232
0.965285.980820555691.9894331292607
0.975325.5832432149986.4584542419722
0.985362.8392816391373.7044825474041
0.995392.7428647557958.3405409042382

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2720.9723627253 & 411.966686334209 \tabularnewline
0.02 & 2859.34175235681 & 286.851071835494 \tabularnewline
0.03 & 2983.19948987379 & 177.526096212968 \tabularnewline
0.04 & 3072.37252101346 & 104.762224836838 \tabularnewline
0.05 & 3129.85186792954 & 68.4986007204851 \tabularnewline
0.06 & 3166.96182850712 & 59.1337482672513 \tabularnewline
0.07 & 3194.00409160978 & 63.4847902213921 \tabularnewline
0.08 & 3217.48178653019 & 72.352895447206 \tabularnewline
0.09 & 3240.61178663149 & 81.7086909110179 \tabularnewline
0.1 & 3264.58732205946 & 89.9040422499053 \tabularnewline
0.11 & 3289.58916759711 & 96.402449977976 \tabularnewline
0.12 & 3315.39913374159 & 101.295037421056 \tabularnewline
0.13 & 3341.72661032171 & 105.105458164224 \tabularnewline
0.14 & 3368.36485798465 & 108.574847283071 \tabularnewline
0.15 & 3395.24897705330 & 112.478585448998 \tabularnewline
0.16 & 3422.45486751181 & 117.448875092337 \tabularnewline
0.17 & 3450.1628459203 & 123.836460117724 \tabularnewline
0.18 & 3478.60315365101 & 131.639229772955 \tabularnewline
0.19 & 3507.99734655329 & 140.530223643741 \tabularnewline
0.2 & 3538.50669613686 & 149.931104367352 \tabularnewline
0.21 & 3570.19541518636 & 159.164832492285 \tabularnewline
0.22 & 3603.0128138888 & 167.523264555180 \tabularnewline
0.23 & 3636.79481588748 & 174.409160038251 \tabularnewline
0.24 & 3671.28210392498 & 179.380405978768 \tabularnewline
0.25 & 3706.14991672449 & 182.198210878133 \tabularnewline
0.26 & 3741.04340341712 & 182.837627233425 \tabularnewline
0.27 & 3775.61248131042 & 181.461650310706 \tabularnewline
0.28 & 3809.54117575549 & 178.383057075251 \tabularnewline
0.29 & 3842.56814399345 & 173.988405313832 \tabularnewline
0.3 & 3874.49711216001 & 168.689147419727 \tabularnewline
0.31 & 3905.19788766056 & 162.853399028788 \tabularnewline
0.32 & 3934.60010839271 & 156.789797627113 \tabularnewline
0.33 & 3962.68273421054 & 150.705944749607 \tabularnewline
0.34 & 3989.46240415787 & 144.733938558893 \tabularnewline
0.35 & 4014.98325584779 & 138.953194867834 \tabularnewline
0.36 & 4039.30983019598 & 133.416728183901 \tabularnewline
0.37 & 4062.52352936641 & 128.187386340992 \tabularnewline
0.38 & 4084.72202516171 & 123.354532040219 \tabularnewline
0.39 & 4106.02024484781 & 119.064939634444 \tabularnewline
0.4 & 4126.55121939345 & 115.468327819736 \tabularnewline
0.41 & 4146.46519124772 & 112.745866920575 \tabularnewline
0.42 & 4165.92587648837 & 111.034365045105 \tabularnewline
0.43 & 4185.10352042792 & 110.408263657497 \tabularnewline
0.44 & 4204.165200853 & 110.843525001977 \tabularnewline
0.45 & 4223.26354285365 & 112.206829351011 \tabularnewline
0.46 & 4242.52546968356 & 114.274596994435 \tabularnewline
0.47 & 4262.04273775034 & 116.747727044126 \tabularnewline
0.48 & 4281.86577273626 & 119.302653332054 \tabularnewline
0.49 & 4302.00179035057 & 121.630972014184 \tabularnewline
0.5 & 4322.41746039714 & 123.461503384914 \tabularnewline
0.51 & 4343.04560446658 & 124.609458331859 \tabularnewline
0.52 & 4363.79476090055 & 124.966659663141 \tabularnewline
0.53 & 4384.56003712769 & 124.515654200863 \tabularnewline
0.54 & 4405.23357898125 & 123.314811313305 \tabularnewline
0.55 & 4425.71322990125 & 121.463152707007 \tabularnewline
0.56 & 4445.90846821442 & 119.096560845212 \tabularnewline
0.57 & 4465.74337662247 & 116.343233042595 \tabularnewline
0.58 & 4485.15706080265 & 113.297071932837 \tabularnewline
0.59 & 4504.10244275185 & 110.039694855299 \tabularnewline
0.6 & 4522.54459645387 & 106.625976060834 \tabularnewline
0.61 & 4540.45972032437 & 103.064265778234 \tabularnewline
0.62 & 4557.83547953732 & 99.3961782553615 \tabularnewline
0.63 & 4574.67289639798 & 95.6801315748366 \tabularnewline
0.64 & 4590.98935775701 & 92.003745491651 \tabularnewline
0.65 & 4606.82179671212 & 88.4829875390972 \tabularnewline
0.66 & 4622.22882194955 & 85.2969607186017 \tabularnewline
0.67 & 4637.29059422497 & 82.5840616979025 \tabularnewline
0.68 & 4652.10560390522 & 80.4941243831016 \tabularnewline
0.69 & 4666.78413730697 & 79.1164230498798 \tabularnewline
0.7 & 4681.43902440975 & 78.4573414476221 \tabularnewline
0.71 & 4696.17508382745 & 78.4233223659362 \tabularnewline
0.72 & 4711.07934618361 & 78.8574762066092 \tabularnewline
0.73 & 4726.21446769931 & 79.524668235481 \tabularnewline
0.74 & 4741.61759284778 & 80.2042436598206 \tabularnewline
0.75 & 4757.30619819378 & 80.713562324126 \tabularnewline
0.76 & 4773.29115126565 & 80.9614303852415 \tabularnewline
0.77 & 4789.59547449023 & 80.9958125538312 \tabularnewline
0.78 & 4806.27538539706 & 81.012673516861 \tabularnewline
0.79 & 4823.43850397144 & 81.3447259049884 \tabularnewline
0.8 & 4841.25319444495 & 82.3981001111317 \tabularnewline
0.81 & 4859.94337741461 & 84.557946253311 \tabularnewline
0.82 & 4879.76522098669 & 88.0120446613141 \tabularnewline
0.83 & 4900.96600620146 & 92.6721581186708 \tabularnewline
0.84 & 4923.73079289708 & 98.0627525495721 \tabularnewline
0.85 & 4948.12832788041 & 103.419052663018 \tabularnewline
0.86 & 4974.07240566725 & 107.790719367032 \tabularnewline
0.87 & 5001.31668680197 & 110.261648459020 \tabularnewline
0.88 & 5029.49780593677 & 110.193988060632 \tabularnewline
0.89 & 5058.23185677188 & 107.438136479347 \tabularnewline
0.9 & 5087.25246422831 & 102.508129072029 \tabularnewline
0.91 & 5116.55619364109 & 96.6240459198516 \tabularnewline
0.92 & 5146.49826018449 & 91.541767155251 \tabularnewline
0.93 & 5177.76882555731 & 88.9755932921263 \tabularnewline
0.94 & 5211.1918931578 & 89.527313389968 \tabularnewline
0.95 & 5247.33439243617 & 91.6995464507232 \tabularnewline
0.96 & 5285.9808205556 & 91.9894331292607 \tabularnewline
0.97 & 5325.58324321499 & 86.4584542419722 \tabularnewline
0.98 & 5362.83928163913 & 73.7044825474041 \tabularnewline
0.99 & 5392.74286475579 & 58.3405409042382 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17074&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]2720.9723627253[/C][C]411.966686334209[/C][/ROW]
[ROW][C]0.02[/C][C]2859.34175235681[/C][C]286.851071835494[/C][/ROW]
[ROW][C]0.03[/C][C]2983.19948987379[/C][C]177.526096212968[/C][/ROW]
[ROW][C]0.04[/C][C]3072.37252101346[/C][C]104.762224836838[/C][/ROW]
[ROW][C]0.05[/C][C]3129.85186792954[/C][C]68.4986007204851[/C][/ROW]
[ROW][C]0.06[/C][C]3166.96182850712[/C][C]59.1337482672513[/C][/ROW]
[ROW][C]0.07[/C][C]3194.00409160978[/C][C]63.4847902213921[/C][/ROW]
[ROW][C]0.08[/C][C]3217.48178653019[/C][C]72.352895447206[/C][/ROW]
[ROW][C]0.09[/C][C]3240.61178663149[/C][C]81.7086909110179[/C][/ROW]
[ROW][C]0.1[/C][C]3264.58732205946[/C][C]89.9040422499053[/C][/ROW]
[ROW][C]0.11[/C][C]3289.58916759711[/C][C]96.402449977976[/C][/ROW]
[ROW][C]0.12[/C][C]3315.39913374159[/C][C]101.295037421056[/C][/ROW]
[ROW][C]0.13[/C][C]3341.72661032171[/C][C]105.105458164224[/C][/ROW]
[ROW][C]0.14[/C][C]3368.36485798465[/C][C]108.574847283071[/C][/ROW]
[ROW][C]0.15[/C][C]3395.24897705330[/C][C]112.478585448998[/C][/ROW]
[ROW][C]0.16[/C][C]3422.45486751181[/C][C]117.448875092337[/C][/ROW]
[ROW][C]0.17[/C][C]3450.1628459203[/C][C]123.836460117724[/C][/ROW]
[ROW][C]0.18[/C][C]3478.60315365101[/C][C]131.639229772955[/C][/ROW]
[ROW][C]0.19[/C][C]3507.99734655329[/C][C]140.530223643741[/C][/ROW]
[ROW][C]0.2[/C][C]3538.50669613686[/C][C]149.931104367352[/C][/ROW]
[ROW][C]0.21[/C][C]3570.19541518636[/C][C]159.164832492285[/C][/ROW]
[ROW][C]0.22[/C][C]3603.0128138888[/C][C]167.523264555180[/C][/ROW]
[ROW][C]0.23[/C][C]3636.79481588748[/C][C]174.409160038251[/C][/ROW]
[ROW][C]0.24[/C][C]3671.28210392498[/C][C]179.380405978768[/C][/ROW]
[ROW][C]0.25[/C][C]3706.14991672449[/C][C]182.198210878133[/C][/ROW]
[ROW][C]0.26[/C][C]3741.04340341712[/C][C]182.837627233425[/C][/ROW]
[ROW][C]0.27[/C][C]3775.61248131042[/C][C]181.461650310706[/C][/ROW]
[ROW][C]0.28[/C][C]3809.54117575549[/C][C]178.383057075251[/C][/ROW]
[ROW][C]0.29[/C][C]3842.56814399345[/C][C]173.988405313832[/C][/ROW]
[ROW][C]0.3[/C][C]3874.49711216001[/C][C]168.689147419727[/C][/ROW]
[ROW][C]0.31[/C][C]3905.19788766056[/C][C]162.853399028788[/C][/ROW]
[ROW][C]0.32[/C][C]3934.60010839271[/C][C]156.789797627113[/C][/ROW]
[ROW][C]0.33[/C][C]3962.68273421054[/C][C]150.705944749607[/C][/ROW]
[ROW][C]0.34[/C][C]3989.46240415787[/C][C]144.733938558893[/C][/ROW]
[ROW][C]0.35[/C][C]4014.98325584779[/C][C]138.953194867834[/C][/ROW]
[ROW][C]0.36[/C][C]4039.30983019598[/C][C]133.416728183901[/C][/ROW]
[ROW][C]0.37[/C][C]4062.52352936641[/C][C]128.187386340992[/C][/ROW]
[ROW][C]0.38[/C][C]4084.72202516171[/C][C]123.354532040219[/C][/ROW]
[ROW][C]0.39[/C][C]4106.02024484781[/C][C]119.064939634444[/C][/ROW]
[ROW][C]0.4[/C][C]4126.55121939345[/C][C]115.468327819736[/C][/ROW]
[ROW][C]0.41[/C][C]4146.46519124772[/C][C]112.745866920575[/C][/ROW]
[ROW][C]0.42[/C][C]4165.92587648837[/C][C]111.034365045105[/C][/ROW]
[ROW][C]0.43[/C][C]4185.10352042792[/C][C]110.408263657497[/C][/ROW]
[ROW][C]0.44[/C][C]4204.165200853[/C][C]110.843525001977[/C][/ROW]
[ROW][C]0.45[/C][C]4223.26354285365[/C][C]112.206829351011[/C][/ROW]
[ROW][C]0.46[/C][C]4242.52546968356[/C][C]114.274596994435[/C][/ROW]
[ROW][C]0.47[/C][C]4262.04273775034[/C][C]116.747727044126[/C][/ROW]
[ROW][C]0.48[/C][C]4281.86577273626[/C][C]119.302653332054[/C][/ROW]
[ROW][C]0.49[/C][C]4302.00179035057[/C][C]121.630972014184[/C][/ROW]
[ROW][C]0.5[/C][C]4322.41746039714[/C][C]123.461503384914[/C][/ROW]
[ROW][C]0.51[/C][C]4343.04560446658[/C][C]124.609458331859[/C][/ROW]
[ROW][C]0.52[/C][C]4363.79476090055[/C][C]124.966659663141[/C][/ROW]
[ROW][C]0.53[/C][C]4384.56003712769[/C][C]124.515654200863[/C][/ROW]
[ROW][C]0.54[/C][C]4405.23357898125[/C][C]123.314811313305[/C][/ROW]
[ROW][C]0.55[/C][C]4425.71322990125[/C][C]121.463152707007[/C][/ROW]
[ROW][C]0.56[/C][C]4445.90846821442[/C][C]119.096560845212[/C][/ROW]
[ROW][C]0.57[/C][C]4465.74337662247[/C][C]116.343233042595[/C][/ROW]
[ROW][C]0.58[/C][C]4485.15706080265[/C][C]113.297071932837[/C][/ROW]
[ROW][C]0.59[/C][C]4504.10244275185[/C][C]110.039694855299[/C][/ROW]
[ROW][C]0.6[/C][C]4522.54459645387[/C][C]106.625976060834[/C][/ROW]
[ROW][C]0.61[/C][C]4540.45972032437[/C][C]103.064265778234[/C][/ROW]
[ROW][C]0.62[/C][C]4557.83547953732[/C][C]99.3961782553615[/C][/ROW]
[ROW][C]0.63[/C][C]4574.67289639798[/C][C]95.6801315748366[/C][/ROW]
[ROW][C]0.64[/C][C]4590.98935775701[/C][C]92.003745491651[/C][/ROW]
[ROW][C]0.65[/C][C]4606.82179671212[/C][C]88.4829875390972[/C][/ROW]
[ROW][C]0.66[/C][C]4622.22882194955[/C][C]85.2969607186017[/C][/ROW]
[ROW][C]0.67[/C][C]4637.29059422497[/C][C]82.5840616979025[/C][/ROW]
[ROW][C]0.68[/C][C]4652.10560390522[/C][C]80.4941243831016[/C][/ROW]
[ROW][C]0.69[/C][C]4666.78413730697[/C][C]79.1164230498798[/C][/ROW]
[ROW][C]0.7[/C][C]4681.43902440975[/C][C]78.4573414476221[/C][/ROW]
[ROW][C]0.71[/C][C]4696.17508382745[/C][C]78.4233223659362[/C][/ROW]
[ROW][C]0.72[/C][C]4711.07934618361[/C][C]78.8574762066092[/C][/ROW]
[ROW][C]0.73[/C][C]4726.21446769931[/C][C]79.524668235481[/C][/ROW]
[ROW][C]0.74[/C][C]4741.61759284778[/C][C]80.2042436598206[/C][/ROW]
[ROW][C]0.75[/C][C]4757.30619819378[/C][C]80.713562324126[/C][/ROW]
[ROW][C]0.76[/C][C]4773.29115126565[/C][C]80.9614303852415[/C][/ROW]
[ROW][C]0.77[/C][C]4789.59547449023[/C][C]80.9958125538312[/C][/ROW]
[ROW][C]0.78[/C][C]4806.27538539706[/C][C]81.012673516861[/C][/ROW]
[ROW][C]0.79[/C][C]4823.43850397144[/C][C]81.3447259049884[/C][/ROW]
[ROW][C]0.8[/C][C]4841.25319444495[/C][C]82.3981001111317[/C][/ROW]
[ROW][C]0.81[/C][C]4859.94337741461[/C][C]84.557946253311[/C][/ROW]
[ROW][C]0.82[/C][C]4879.76522098669[/C][C]88.0120446613141[/C][/ROW]
[ROW][C]0.83[/C][C]4900.96600620146[/C][C]92.6721581186708[/C][/ROW]
[ROW][C]0.84[/C][C]4923.73079289708[/C][C]98.0627525495721[/C][/ROW]
[ROW][C]0.85[/C][C]4948.12832788041[/C][C]103.419052663018[/C][/ROW]
[ROW][C]0.86[/C][C]4974.07240566725[/C][C]107.790719367032[/C][/ROW]
[ROW][C]0.87[/C][C]5001.31668680197[/C][C]110.261648459020[/C][/ROW]
[ROW][C]0.88[/C][C]5029.49780593677[/C][C]110.193988060632[/C][/ROW]
[ROW][C]0.89[/C][C]5058.23185677188[/C][C]107.438136479347[/C][/ROW]
[ROW][C]0.9[/C][C]5087.25246422831[/C][C]102.508129072029[/C][/ROW]
[ROW][C]0.91[/C][C]5116.55619364109[/C][C]96.6240459198516[/C][/ROW]
[ROW][C]0.92[/C][C]5146.49826018449[/C][C]91.541767155251[/C][/ROW]
[ROW][C]0.93[/C][C]5177.76882555731[/C][C]88.9755932921263[/C][/ROW]
[ROW][C]0.94[/C][C]5211.1918931578[/C][C]89.527313389968[/C][/ROW]
[ROW][C]0.95[/C][C]5247.33439243617[/C][C]91.6995464507232[/C][/ROW]
[ROW][C]0.96[/C][C]5285.9808205556[/C][C]91.9894331292607[/C][/ROW]
[ROW][C]0.97[/C][C]5325.58324321499[/C][C]86.4584542419722[/C][/ROW]
[ROW][C]0.98[/C][C]5362.83928163913[/C][C]73.7044825474041[/C][/ROW]
[ROW][C]0.99[/C][C]5392.74286475579[/C][C]58.3405409042382[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17074&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17074&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
0.012720.9723627253411.966686334209
0.022859.34175235681286.851071835494
0.032983.19948987379177.526096212968
0.043072.37252101346104.762224836838
0.053129.8518679295468.4986007204851
0.063166.9618285071259.1337482672513
0.073194.0040916097863.4847902213921
0.083217.4817865301972.352895447206
0.093240.6117866314981.7086909110179
0.13264.5873220594689.9040422499053
0.113289.5891675971196.402449977976
0.123315.39913374159101.295037421056
0.133341.72661032171105.105458164224
0.143368.36485798465108.574847283071
0.153395.24897705330112.478585448998
0.163422.45486751181117.448875092337
0.173450.1628459203123.836460117724
0.183478.60315365101131.639229772955
0.193507.99734655329140.530223643741
0.23538.50669613686149.931104367352
0.213570.19541518636159.164832492285
0.223603.0128138888167.523264555180
0.233636.79481588748174.409160038251
0.243671.28210392498179.380405978768
0.253706.14991672449182.198210878133
0.263741.04340341712182.837627233425
0.273775.61248131042181.461650310706
0.283809.54117575549178.383057075251
0.293842.56814399345173.988405313832
0.33874.49711216001168.689147419727
0.313905.19788766056162.853399028788
0.323934.60010839271156.789797627113
0.333962.68273421054150.705944749607
0.343989.46240415787144.733938558893
0.354014.98325584779138.953194867834
0.364039.30983019598133.416728183901
0.374062.52352936641128.187386340992
0.384084.72202516171123.354532040219
0.394106.02024484781119.064939634444
0.44126.55121939345115.468327819736
0.414146.46519124772112.745866920575
0.424165.92587648837111.034365045105
0.434185.10352042792110.408263657497
0.444204.165200853110.843525001977
0.454223.26354285365112.206829351011
0.464242.52546968356114.274596994435
0.474262.04273775034116.747727044126
0.484281.86577273626119.302653332054
0.494302.00179035057121.630972014184
0.54322.41746039714123.461503384914
0.514343.04560446658124.609458331859
0.524363.79476090055124.966659663141
0.534384.56003712769124.515654200863
0.544405.23357898125123.314811313305
0.554425.71322990125121.463152707007
0.564445.90846821442119.096560845212
0.574465.74337662247116.343233042595
0.584485.15706080265113.297071932837
0.594504.10244275185110.039694855299
0.64522.54459645387106.625976060834
0.614540.45972032437103.064265778234
0.624557.8354795373299.3961782553615
0.634574.6728963979895.6801315748366
0.644590.9893577570192.003745491651
0.654606.8217967121288.4829875390972
0.664622.2288219495585.2969607186017
0.674637.2905942249782.5840616979025
0.684652.1056039052280.4941243831016
0.694666.7841373069779.1164230498798
0.74681.4390244097578.4573414476221
0.714696.1750838274578.4233223659362
0.724711.0793461836178.8574762066092
0.734726.2144676993179.524668235481
0.744741.6175928477880.2042436598206
0.754757.3061981937880.713562324126
0.764773.2911512656580.9614303852415
0.774789.5954744902380.9958125538312
0.784806.2753853970681.012673516861
0.794823.4385039714481.3447259049884
0.84841.2531944449582.3981001111317
0.814859.9433774146184.557946253311
0.824879.7652209866988.0120446613141
0.834900.9660062014692.6721581186708
0.844923.7307928970898.0627525495721
0.854948.12832788041103.419052663018
0.864974.07240566725107.790719367032
0.875001.31668680197110.261648459020
0.885029.49780593677110.193988060632
0.895058.23185677188107.438136479347
0.95087.25246422831102.508129072029
0.915116.5561936410996.6240459198516
0.925146.4982601844991.541767155251
0.935177.7688255573188.9755932921263
0.945211.191893157889.527313389968
0.955247.3343924361791.6995464507232
0.965285.980820555691.9894331292607
0.975325.5832432149986.4584542419722
0.985362.8392816391373.7044825474041
0.995392.7428647557958.3405409042382


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = bouwvergunningen ; par5 = werkelijk begonnen woningen ;
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')