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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 13:15:53 -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/t1224443801nkzflxmlfg6s7i1.htm/, Retrieved Mon, 27 May 2024 09:22:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17071, Retrieved Mon, 27 May 2024 09:22:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166

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 17:13:12] [7173087adebe3e3a714c80ea2417b3eb]
-   PD    [Univariate Data Series] [tijdreeksen opnie...] [2008-10-19 18:55:20] [7173087adebe3e3a714c80ea2417b3eb]
- RM          [Harrell-Davis Quantiles] [harrel and davis ...] [2008-10-19 19:15:53] [95d95b0e883740fcbc85e18ec42dcafb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5014
6153
6441
5584
6427
6062
5589
6216
5809
4989
6706
7174
6122
8075
6292
6337
8576
6077
5931
6288
7167
6054
6468
6401
6927
7914
7728
8699
8522
6481
7502
7778
7424
6941
8574
9169
7701
9035
7158
8195
8124
7073
7017
7390
7776
6197
6889
7087
6485
7654
6501
6313
7826
6589
6729
5684
8105
6391
5901
6758

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=17071&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=17071&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17071&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
0.015028.35017910107125.546412853432
0.025108.47795553937235.77415424138
0.035218.0195140747292.097608618219
0.045337.79267772783289.816565142177
0.055451.43287715237255.712293493292
0.065550.37979599558217.876390343730
0.075633.21783438775190.869788093171
0.085702.48448298906175.641767094341
0.095761.70446120501167.041989077292
0.15813.76507457968160.372327345301
0.115860.49706340737153.316489957581
0.125902.8911439418145.324559968269
0.135941.4727838755136.747471839328
0.145976.59721448781128.213925525759
0.156008.60904306448120.356351517070
0.166037.89513621914113.650668600018
0.176064.8771263925108.359435135992
0.186089.97978584807104.531053563764
0.196113.59679140727102.008242547234
0.26136.06438691605100.479885664795
0.216157.6467924898299.5933399678082
0.226178.5334100270399.007141295671
0.236198.8456956076798.4473458905953
0.246218.6504545945397.746497997293
0.256237.9760754061996.8157537492819
0.266256.8286992571595.6494886412204
0.276275.2062745067594.300276212332
0.286293.1095469718892.8257660223511
0.296310.5499960062891.3495722839121
0.36327.5553430615789.9696114838226
0.316344.1734662910588.8170330349949
0.326360.4754000889388.0250742306355
0.336376.557710625887.7752017480366
0.346392.5440795760888.2664074177957
0.356408.5855516572589.6820628579812
0.366424.858719745492.2359397665442
0.376441.5611873251596.0774620131228
0.386458.9039514337101.291254827964
0.396477.10082439232107.882319324328
0.46496.3555565134115.706123851732
0.416516.84781791023124.543178047606
0.426538.7195397207134.07526353908
0.436562.06322991593143.910294590352
0.446586.91373914983153.667440540728
0.456613.24458105883162.917191974509
0.466640.96937626611171.303832261562
0.476669.94838546923178.520863952760
0.486699.99952647446184.349286443526
0.496730.91281957559188.682920690142
0.56762.46692919177191.508348590646
0.516794.44637981792192.935130776561
0.526826.65809457324193.132028522089
0.536858.94608103519192.385169137318
0.546891.20330828934191.029729963254
0.556923.38002769069189.438781512461
0.566955.48795933266188.015076987297
0.576987.59990077607187.145517464427
0.587019.84444824131187.193651827122
0.597052.39570511701188.426322041783
0.67085.45813939439191.024991204259
0.617119.2471702642195.015820975912
0.627153.96660606803200.249306516940
0.637189.78466577447206.431547727652
0.647226.81089522345213.100918020577
0.657265.07670992748219.685853165307
0.667304.52242591521225.560729729682
0.677344.9933699516230.117411563756
0.687386.24693122284232.813882943563
0.697427.97123897201233.265199745241
0.77469.81461704379231.277575153618
0.717511.42325379074226.918543483449
0.727552.4828897495220.491081835666
0.737592.75908287081212.550187568011
0.747632.13010641134203.84032246354
0.757670.60707978637195.226654895861
0.767708.33771310572187.589283717979
0.777745.59299655239181.660869154703
0.787782.73984318276177.934484795930
0.797820.20620604212176.560178554589
0.87858.44726957133177.357568747799
0.817897.9206258491179.935658875631
0.827939.07407007621183.899011492865
0.837982.34225493361188.977527169691
0.848028.1403482787195.103090149394
0.858076.83847730882202.273909270102
0.868128.70547142418210.248943478761
0.878183.82794132243218.223297962774
0.888242.03940176419224.695506996874
0.898302.92347341195227.739123770504
0.98365.96500268712225.797243162067
0.918430.8880068592218.739734448828
0.928498.1220095978208.915820825706
0.938569.18867830641201.499880046499
0.948646.65742705782202.710997477210
0.958733.2910115241214.544744155405
0.968830.20569032209229.360461304556
0.978934.34514538517231.415073561533
0.989036.26380405609207.572019899645
0.999120.14208308653164.210233995040

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5028.35017910107 & 125.546412853432 \tabularnewline
0.02 & 5108.47795553937 & 235.77415424138 \tabularnewline
0.03 & 5218.0195140747 & 292.097608618219 \tabularnewline
0.04 & 5337.79267772783 & 289.816565142177 \tabularnewline
0.05 & 5451.43287715237 & 255.712293493292 \tabularnewline
0.06 & 5550.37979599558 & 217.876390343730 \tabularnewline
0.07 & 5633.21783438775 & 190.869788093171 \tabularnewline
0.08 & 5702.48448298906 & 175.641767094341 \tabularnewline
0.09 & 5761.70446120501 & 167.041989077292 \tabularnewline
0.1 & 5813.76507457968 & 160.372327345301 \tabularnewline
0.11 & 5860.49706340737 & 153.316489957581 \tabularnewline
0.12 & 5902.8911439418 & 145.324559968269 \tabularnewline
0.13 & 5941.4727838755 & 136.747471839328 \tabularnewline
0.14 & 5976.59721448781 & 128.213925525759 \tabularnewline
0.15 & 6008.60904306448 & 120.356351517070 \tabularnewline
0.16 & 6037.89513621914 & 113.650668600018 \tabularnewline
0.17 & 6064.8771263925 & 108.359435135992 \tabularnewline
0.18 & 6089.97978584807 & 104.531053563764 \tabularnewline
0.19 & 6113.59679140727 & 102.008242547234 \tabularnewline
0.2 & 6136.06438691605 & 100.479885664795 \tabularnewline
0.21 & 6157.64679248982 & 99.5933399678082 \tabularnewline
0.22 & 6178.53341002703 & 99.007141295671 \tabularnewline
0.23 & 6198.84569560767 & 98.4473458905953 \tabularnewline
0.24 & 6218.65045459453 & 97.746497997293 \tabularnewline
0.25 & 6237.97607540619 & 96.8157537492819 \tabularnewline
0.26 & 6256.82869925715 & 95.6494886412204 \tabularnewline
0.27 & 6275.20627450675 & 94.300276212332 \tabularnewline
0.28 & 6293.10954697188 & 92.8257660223511 \tabularnewline
0.29 & 6310.54999600628 & 91.3495722839121 \tabularnewline
0.3 & 6327.55534306157 & 89.9696114838226 \tabularnewline
0.31 & 6344.17346629105 & 88.8170330349949 \tabularnewline
0.32 & 6360.47540008893 & 88.0250742306355 \tabularnewline
0.33 & 6376.5577106258 & 87.7752017480366 \tabularnewline
0.34 & 6392.54407957608 & 88.2664074177957 \tabularnewline
0.35 & 6408.58555165725 & 89.6820628579812 \tabularnewline
0.36 & 6424.8587197454 & 92.2359397665442 \tabularnewline
0.37 & 6441.56118732515 & 96.0774620131228 \tabularnewline
0.38 & 6458.9039514337 & 101.291254827964 \tabularnewline
0.39 & 6477.10082439232 & 107.882319324328 \tabularnewline
0.4 & 6496.3555565134 & 115.706123851732 \tabularnewline
0.41 & 6516.84781791023 & 124.543178047606 \tabularnewline
0.42 & 6538.7195397207 & 134.07526353908 \tabularnewline
0.43 & 6562.06322991593 & 143.910294590352 \tabularnewline
0.44 & 6586.91373914983 & 153.667440540728 \tabularnewline
0.45 & 6613.24458105883 & 162.917191974509 \tabularnewline
0.46 & 6640.96937626611 & 171.303832261562 \tabularnewline
0.47 & 6669.94838546923 & 178.520863952760 \tabularnewline
0.48 & 6699.99952647446 & 184.349286443526 \tabularnewline
0.49 & 6730.91281957559 & 188.682920690142 \tabularnewline
0.5 & 6762.46692919177 & 191.508348590646 \tabularnewline
0.51 & 6794.44637981792 & 192.935130776561 \tabularnewline
0.52 & 6826.65809457324 & 193.132028522089 \tabularnewline
0.53 & 6858.94608103519 & 192.385169137318 \tabularnewline
0.54 & 6891.20330828934 & 191.029729963254 \tabularnewline
0.55 & 6923.38002769069 & 189.438781512461 \tabularnewline
0.56 & 6955.48795933266 & 188.015076987297 \tabularnewline
0.57 & 6987.59990077607 & 187.145517464427 \tabularnewline
0.58 & 7019.84444824131 & 187.193651827122 \tabularnewline
0.59 & 7052.39570511701 & 188.426322041783 \tabularnewline
0.6 & 7085.45813939439 & 191.024991204259 \tabularnewline
0.61 & 7119.2471702642 & 195.015820975912 \tabularnewline
0.62 & 7153.96660606803 & 200.249306516940 \tabularnewline
0.63 & 7189.78466577447 & 206.431547727652 \tabularnewline
0.64 & 7226.81089522345 & 213.100918020577 \tabularnewline
0.65 & 7265.07670992748 & 219.685853165307 \tabularnewline
0.66 & 7304.52242591521 & 225.560729729682 \tabularnewline
0.67 & 7344.9933699516 & 230.117411563756 \tabularnewline
0.68 & 7386.24693122284 & 232.813882943563 \tabularnewline
0.69 & 7427.97123897201 & 233.265199745241 \tabularnewline
0.7 & 7469.81461704379 & 231.277575153618 \tabularnewline
0.71 & 7511.42325379074 & 226.918543483449 \tabularnewline
0.72 & 7552.4828897495 & 220.491081835666 \tabularnewline
0.73 & 7592.75908287081 & 212.550187568011 \tabularnewline
0.74 & 7632.13010641134 & 203.84032246354 \tabularnewline
0.75 & 7670.60707978637 & 195.226654895861 \tabularnewline
0.76 & 7708.33771310572 & 187.589283717979 \tabularnewline
0.77 & 7745.59299655239 & 181.660869154703 \tabularnewline
0.78 & 7782.73984318276 & 177.934484795930 \tabularnewline
0.79 & 7820.20620604212 & 176.560178554589 \tabularnewline
0.8 & 7858.44726957133 & 177.357568747799 \tabularnewline
0.81 & 7897.9206258491 & 179.935658875631 \tabularnewline
0.82 & 7939.07407007621 & 183.899011492865 \tabularnewline
0.83 & 7982.34225493361 & 188.977527169691 \tabularnewline
0.84 & 8028.1403482787 & 195.103090149394 \tabularnewline
0.85 & 8076.83847730882 & 202.273909270102 \tabularnewline
0.86 & 8128.70547142418 & 210.248943478761 \tabularnewline
0.87 & 8183.82794132243 & 218.223297962774 \tabularnewline
0.88 & 8242.03940176419 & 224.695506996874 \tabularnewline
0.89 & 8302.92347341195 & 227.739123770504 \tabularnewline
0.9 & 8365.96500268712 & 225.797243162067 \tabularnewline
0.91 & 8430.8880068592 & 218.739734448828 \tabularnewline
0.92 & 8498.1220095978 & 208.915820825706 \tabularnewline
0.93 & 8569.18867830641 & 201.499880046499 \tabularnewline
0.94 & 8646.65742705782 & 202.710997477210 \tabularnewline
0.95 & 8733.2910115241 & 214.544744155405 \tabularnewline
0.96 & 8830.20569032209 & 229.360461304556 \tabularnewline
0.97 & 8934.34514538517 & 231.415073561533 \tabularnewline
0.98 & 9036.26380405609 & 207.572019899645 \tabularnewline
0.99 & 9120.14208308653 & 164.210233995040 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17071&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]5028.35017910107[/C][C]125.546412853432[/C][/ROW]
[ROW][C]0.02[/C][C]5108.47795553937[/C][C]235.77415424138[/C][/ROW]
[ROW][C]0.03[/C][C]5218.0195140747[/C][C]292.097608618219[/C][/ROW]
[ROW][C]0.04[/C][C]5337.79267772783[/C][C]289.816565142177[/C][/ROW]
[ROW][C]0.05[/C][C]5451.43287715237[/C][C]255.712293493292[/C][/ROW]
[ROW][C]0.06[/C][C]5550.37979599558[/C][C]217.876390343730[/C][/ROW]
[ROW][C]0.07[/C][C]5633.21783438775[/C][C]190.869788093171[/C][/ROW]
[ROW][C]0.08[/C][C]5702.48448298906[/C][C]175.641767094341[/C][/ROW]
[ROW][C]0.09[/C][C]5761.70446120501[/C][C]167.041989077292[/C][/ROW]
[ROW][C]0.1[/C][C]5813.76507457968[/C][C]160.372327345301[/C][/ROW]
[ROW][C]0.11[/C][C]5860.49706340737[/C][C]153.316489957581[/C][/ROW]
[ROW][C]0.12[/C][C]5902.8911439418[/C][C]145.324559968269[/C][/ROW]
[ROW][C]0.13[/C][C]5941.4727838755[/C][C]136.747471839328[/C][/ROW]
[ROW][C]0.14[/C][C]5976.59721448781[/C][C]128.213925525759[/C][/ROW]
[ROW][C]0.15[/C][C]6008.60904306448[/C][C]120.356351517070[/C][/ROW]
[ROW][C]0.16[/C][C]6037.89513621914[/C][C]113.650668600018[/C][/ROW]
[ROW][C]0.17[/C][C]6064.8771263925[/C][C]108.359435135992[/C][/ROW]
[ROW][C]0.18[/C][C]6089.97978584807[/C][C]104.531053563764[/C][/ROW]
[ROW][C]0.19[/C][C]6113.59679140727[/C][C]102.008242547234[/C][/ROW]
[ROW][C]0.2[/C][C]6136.06438691605[/C][C]100.479885664795[/C][/ROW]
[ROW][C]0.21[/C][C]6157.64679248982[/C][C]99.5933399678082[/C][/ROW]
[ROW][C]0.22[/C][C]6178.53341002703[/C][C]99.007141295671[/C][/ROW]
[ROW][C]0.23[/C][C]6198.84569560767[/C][C]98.4473458905953[/C][/ROW]
[ROW][C]0.24[/C][C]6218.65045459453[/C][C]97.746497997293[/C][/ROW]
[ROW][C]0.25[/C][C]6237.97607540619[/C][C]96.8157537492819[/C][/ROW]
[ROW][C]0.26[/C][C]6256.82869925715[/C][C]95.6494886412204[/C][/ROW]
[ROW][C]0.27[/C][C]6275.20627450675[/C][C]94.300276212332[/C][/ROW]
[ROW][C]0.28[/C][C]6293.10954697188[/C][C]92.8257660223511[/C][/ROW]
[ROW][C]0.29[/C][C]6310.54999600628[/C][C]91.3495722839121[/C][/ROW]
[ROW][C]0.3[/C][C]6327.55534306157[/C][C]89.9696114838226[/C][/ROW]
[ROW][C]0.31[/C][C]6344.17346629105[/C][C]88.8170330349949[/C][/ROW]
[ROW][C]0.32[/C][C]6360.47540008893[/C][C]88.0250742306355[/C][/ROW]
[ROW][C]0.33[/C][C]6376.5577106258[/C][C]87.7752017480366[/C][/ROW]
[ROW][C]0.34[/C][C]6392.54407957608[/C][C]88.2664074177957[/C][/ROW]
[ROW][C]0.35[/C][C]6408.58555165725[/C][C]89.6820628579812[/C][/ROW]
[ROW][C]0.36[/C][C]6424.8587197454[/C][C]92.2359397665442[/C][/ROW]
[ROW][C]0.37[/C][C]6441.56118732515[/C][C]96.0774620131228[/C][/ROW]
[ROW][C]0.38[/C][C]6458.9039514337[/C][C]101.291254827964[/C][/ROW]
[ROW][C]0.39[/C][C]6477.10082439232[/C][C]107.882319324328[/C][/ROW]
[ROW][C]0.4[/C][C]6496.3555565134[/C][C]115.706123851732[/C][/ROW]
[ROW][C]0.41[/C][C]6516.84781791023[/C][C]124.543178047606[/C][/ROW]
[ROW][C]0.42[/C][C]6538.7195397207[/C][C]134.07526353908[/C][/ROW]
[ROW][C]0.43[/C][C]6562.06322991593[/C][C]143.910294590352[/C][/ROW]
[ROW][C]0.44[/C][C]6586.91373914983[/C][C]153.667440540728[/C][/ROW]
[ROW][C]0.45[/C][C]6613.24458105883[/C][C]162.917191974509[/C][/ROW]
[ROW][C]0.46[/C][C]6640.96937626611[/C][C]171.303832261562[/C][/ROW]
[ROW][C]0.47[/C][C]6669.94838546923[/C][C]178.520863952760[/C][/ROW]
[ROW][C]0.48[/C][C]6699.99952647446[/C][C]184.349286443526[/C][/ROW]
[ROW][C]0.49[/C][C]6730.91281957559[/C][C]188.682920690142[/C][/ROW]
[ROW][C]0.5[/C][C]6762.46692919177[/C][C]191.508348590646[/C][/ROW]
[ROW][C]0.51[/C][C]6794.44637981792[/C][C]192.935130776561[/C][/ROW]
[ROW][C]0.52[/C][C]6826.65809457324[/C][C]193.132028522089[/C][/ROW]
[ROW][C]0.53[/C][C]6858.94608103519[/C][C]192.385169137318[/C][/ROW]
[ROW][C]0.54[/C][C]6891.20330828934[/C][C]191.029729963254[/C][/ROW]
[ROW][C]0.55[/C][C]6923.38002769069[/C][C]189.438781512461[/C][/ROW]
[ROW][C]0.56[/C][C]6955.48795933266[/C][C]188.015076987297[/C][/ROW]
[ROW][C]0.57[/C][C]6987.59990077607[/C][C]187.145517464427[/C][/ROW]
[ROW][C]0.58[/C][C]7019.84444824131[/C][C]187.193651827122[/C][/ROW]
[ROW][C]0.59[/C][C]7052.39570511701[/C][C]188.426322041783[/C][/ROW]
[ROW][C]0.6[/C][C]7085.45813939439[/C][C]191.024991204259[/C][/ROW]
[ROW][C]0.61[/C][C]7119.2471702642[/C][C]195.015820975912[/C][/ROW]
[ROW][C]0.62[/C][C]7153.96660606803[/C][C]200.249306516940[/C][/ROW]
[ROW][C]0.63[/C][C]7189.78466577447[/C][C]206.431547727652[/C][/ROW]
[ROW][C]0.64[/C][C]7226.81089522345[/C][C]213.100918020577[/C][/ROW]
[ROW][C]0.65[/C][C]7265.07670992748[/C][C]219.685853165307[/C][/ROW]
[ROW][C]0.66[/C][C]7304.52242591521[/C][C]225.560729729682[/C][/ROW]
[ROW][C]0.67[/C][C]7344.9933699516[/C][C]230.117411563756[/C][/ROW]
[ROW][C]0.68[/C][C]7386.24693122284[/C][C]232.813882943563[/C][/ROW]
[ROW][C]0.69[/C][C]7427.97123897201[/C][C]233.265199745241[/C][/ROW]
[ROW][C]0.7[/C][C]7469.81461704379[/C][C]231.277575153618[/C][/ROW]
[ROW][C]0.71[/C][C]7511.42325379074[/C][C]226.918543483449[/C][/ROW]
[ROW][C]0.72[/C][C]7552.4828897495[/C][C]220.491081835666[/C][/ROW]
[ROW][C]0.73[/C][C]7592.75908287081[/C][C]212.550187568011[/C][/ROW]
[ROW][C]0.74[/C][C]7632.13010641134[/C][C]203.84032246354[/C][/ROW]
[ROW][C]0.75[/C][C]7670.60707978637[/C][C]195.226654895861[/C][/ROW]
[ROW][C]0.76[/C][C]7708.33771310572[/C][C]187.589283717979[/C][/ROW]
[ROW][C]0.77[/C][C]7745.59299655239[/C][C]181.660869154703[/C][/ROW]
[ROW][C]0.78[/C][C]7782.73984318276[/C][C]177.934484795930[/C][/ROW]
[ROW][C]0.79[/C][C]7820.20620604212[/C][C]176.560178554589[/C][/ROW]
[ROW][C]0.8[/C][C]7858.44726957133[/C][C]177.357568747799[/C][/ROW]
[ROW][C]0.81[/C][C]7897.9206258491[/C][C]179.935658875631[/C][/ROW]
[ROW][C]0.82[/C][C]7939.07407007621[/C][C]183.899011492865[/C][/ROW]
[ROW][C]0.83[/C][C]7982.34225493361[/C][C]188.977527169691[/C][/ROW]
[ROW][C]0.84[/C][C]8028.1403482787[/C][C]195.103090149394[/C][/ROW]
[ROW][C]0.85[/C][C]8076.83847730882[/C][C]202.273909270102[/C][/ROW]
[ROW][C]0.86[/C][C]8128.70547142418[/C][C]210.248943478761[/C][/ROW]
[ROW][C]0.87[/C][C]8183.82794132243[/C][C]218.223297962774[/C][/ROW]
[ROW][C]0.88[/C][C]8242.03940176419[/C][C]224.695506996874[/C][/ROW]
[ROW][C]0.89[/C][C]8302.92347341195[/C][C]227.739123770504[/C][/ROW]
[ROW][C]0.9[/C][C]8365.96500268712[/C][C]225.797243162067[/C][/ROW]
[ROW][C]0.91[/C][C]8430.8880068592[/C][C]218.739734448828[/C][/ROW]
[ROW][C]0.92[/C][C]8498.1220095978[/C][C]208.915820825706[/C][/ROW]
[ROW][C]0.93[/C][C]8569.18867830641[/C][C]201.499880046499[/C][/ROW]
[ROW][C]0.94[/C][C]8646.65742705782[/C][C]202.710997477210[/C][/ROW]
[ROW][C]0.95[/C][C]8733.2910115241[/C][C]214.544744155405[/C][/ROW]
[ROW][C]0.96[/C][C]8830.20569032209[/C][C]229.360461304556[/C][/ROW]
[ROW][C]0.97[/C][C]8934.34514538517[/C][C]231.415073561533[/C][/ROW]
[ROW][C]0.98[/C][C]9036.26380405609[/C][C]207.572019899645[/C][/ROW]
[ROW][C]0.99[/C][C]9120.14208308653[/C][C]164.210233995040[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17071&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17071&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
0.015028.35017910107125.546412853432
0.025108.47795553937235.77415424138
0.035218.0195140747292.097608618219
0.045337.79267772783289.816565142177
0.055451.43287715237255.712293493292
0.065550.37979599558217.876390343730
0.075633.21783438775190.869788093171
0.085702.48448298906175.641767094341
0.095761.70446120501167.041989077292
0.15813.76507457968160.372327345301
0.115860.49706340737153.316489957581
0.125902.8911439418145.324559968269
0.135941.4727838755136.747471839328
0.145976.59721448781128.213925525759
0.156008.60904306448120.356351517070
0.166037.89513621914113.650668600018
0.176064.8771263925108.359435135992
0.186089.97978584807104.531053563764
0.196113.59679140727102.008242547234
0.26136.06438691605100.479885664795
0.216157.6467924898299.5933399678082
0.226178.5334100270399.007141295671
0.236198.8456956076798.4473458905953
0.246218.6504545945397.746497997293
0.256237.9760754061996.8157537492819
0.266256.8286992571595.6494886412204
0.276275.2062745067594.300276212332
0.286293.1095469718892.8257660223511
0.296310.5499960062891.3495722839121
0.36327.5553430615789.9696114838226
0.316344.1734662910588.8170330349949
0.326360.4754000889388.0250742306355
0.336376.557710625887.7752017480366
0.346392.5440795760888.2664074177957
0.356408.5855516572589.6820628579812
0.366424.858719745492.2359397665442
0.376441.5611873251596.0774620131228
0.386458.9039514337101.291254827964
0.396477.10082439232107.882319324328
0.46496.3555565134115.706123851732
0.416516.84781791023124.543178047606
0.426538.7195397207134.07526353908
0.436562.06322991593143.910294590352
0.446586.91373914983153.667440540728
0.456613.24458105883162.917191974509
0.466640.96937626611171.303832261562
0.476669.94838546923178.520863952760
0.486699.99952647446184.349286443526
0.496730.91281957559188.682920690142
0.56762.46692919177191.508348590646
0.516794.44637981792192.935130776561
0.526826.65809457324193.132028522089
0.536858.94608103519192.385169137318
0.546891.20330828934191.029729963254
0.556923.38002769069189.438781512461
0.566955.48795933266188.015076987297
0.576987.59990077607187.145517464427
0.587019.84444824131187.193651827122
0.597052.39570511701188.426322041783
0.67085.45813939439191.024991204259
0.617119.2471702642195.015820975912
0.627153.96660606803200.249306516940
0.637189.78466577447206.431547727652
0.647226.81089522345213.100918020577
0.657265.07670992748219.685853165307
0.667304.52242591521225.560729729682
0.677344.9933699516230.117411563756
0.687386.24693122284232.813882943563
0.697427.97123897201233.265199745241
0.77469.81461704379231.277575153618
0.717511.42325379074226.918543483449
0.727552.4828897495220.491081835666
0.737592.75908287081212.550187568011
0.747632.13010641134203.84032246354
0.757670.60707978637195.226654895861
0.767708.33771310572187.589283717979
0.777745.59299655239181.660869154703
0.787782.73984318276177.934484795930
0.797820.20620604212176.560178554589
0.87858.44726957133177.357568747799
0.817897.9206258491179.935658875631
0.827939.07407007621183.899011492865
0.837982.34225493361188.977527169691
0.848028.1403482787195.103090149394
0.858076.83847730882202.273909270102
0.868128.70547142418210.248943478761
0.878183.82794132243218.223297962774
0.888242.03940176419224.695506996874
0.898302.92347341195227.739123770504
0.98365.96500268712225.797243162067
0.918430.8880068592218.739734448828
0.928498.1220095978208.915820825706
0.938569.18867830641201.499880046499
0.948646.65742705782202.710997477210
0.958733.2910115241214.544744155405
0.968830.20569032209229.360461304556
0.978934.34514538517231.415073561533
0.989036.26380405609207.572019899645
0.999120.14208308653164.210233995040


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')