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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 computationMon, 16 Aug 2010 14:41:41 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Aug/16/t1281969673pkl68p9uctuq5ew.htm/, Retrieved Thu, 16 May 2024 09:09:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79006, Retrieved Thu, 16 May 2024 09:09:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94

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] [Harrell-Davis Per...] [2010-08-16 14:41:41] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
257
256
255
253
251
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253
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257
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27
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32

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79006&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79006&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79006&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0128.99815853812234.6070776896032
0.0232.15311753986405.09950685581591
0.0335.67069855235136.20021829961788
0.0439.30626659857787.28956303598679
0.0543.08912461377828.61130229307248
0.0647.149106512247610.5858169505517
0.0751.635554567160413.0724911370737
0.0856.616069653533515.4449288699894
0.0962.000480205742117.0283992865695
0.167.547963435029817.4257355066425
0.1172.948727748573916.6399739459725
0.1277.928158949128915.0128454497018
0.1382.323416990237513.0591857678250
0.1486.10995198639311.2966364778874
0.1589.38327154338710.131713045651
0.1692.31580760561249.79368538251114
0.1795.109039312980310.3033845295292
0.1897.953554920772511.5096672856430
0.19101.00154277879013.1779128744436
0.2104.35116244864215.0526590958248
0.21108.04071060086116.882408312429
0.22112.05089844597618.4395214168568
0.23116.31417811105919.5448307065851
0.24120.72997603992420.0940611022986
0.25125.18390497309520.0731084377226
0.26129.56806772544319.5625206047816
0.27133.79904839156218.7207596740947
0.28137.83046924510517.7598258706871
0.29141.65806400011516.9078442181740
0.3145.31676890046616.3667400381291
0.31148.87092083037416.2693199143484
0.32152.39988173052116.6484337320736
0.33155.98204703482417.4315768216519
0.34159.68019618624718.4702789094366
0.35163.53060666383319.5778732774928
0.36167.53746082838320.5666467459383
0.37171.67302974306721.2766882314992
0.38175.88310707276921.595216810823
0.39180.09634379531021.4675810916689
0.4184.23561304669820.9024288955628
0.41188.22937378142319.9641951171835
0.42192.02119996869718.7605262990952
0.43195.57613325183717.4243077790536
0.44198.88318506604516.092579343879
0.45201.95401861375614.8884846500058
0.46204.81845009601813.9042767390180
0.47207.51782773027313.1892258373315
0.48210.09753426667112.7438612165205
0.49212.59982307679512.5254819338690
0.5215.05798591329712.4599895311216
0.51217.49252680449712.4600167483655
0.52219.90964702447212.4394774834046
0.53222.30198682113212.3274358818513
0.54224.65126323844912.0743222772008
0.55226.93221956019911.6560412072512
0.56229.11717884623911.0746605651433
0.57231.18047901885110.3545421521059
0.58233.1021553365479.53682974398187
0.59234.8704100354228.67243783415814
0.6236.4826378873527.81465733985034
0.61237.9450208338367.01133454591524
0.62239.2709230070496.29926565801118
0.63240.4784742575215.70011018317836
0.64241.5878051182125.21928239590233
0.65242.6183868473394.84575408227809
0.66243.5868519374254.55820830147581
0.67244.5055491696624.32774488635886
0.68245.3819505577444.12536242344815
0.69246.2188968014153.92643170961511
0.7247.0155550349203.71334006924962
0.71247.7688723308523.47746351583029
0.72248.4752439902403.21943976636056
0.73249.1320847004262.94729469821428
0.74249.7390054738232.67520184651828
0.75250.298370878422.41929480842846
0.76250.8151391869622.19413500142647
0.77251.2960534187112.00874163775019
0.78251.7484157942041.86438233396191
0.79252.1787954490281.75375785336253
0.8252.5920509180951.66464283732202
0.81252.9909787241971.58394191938787
0.82253.3767386813621.50220377336056
0.83253.7499893630681.41662700350437
0.84254.1124415461411.33242859844959
0.85254.4683581541191.26169243861715
0.86254.8254525316241.22042085564396
0.87255.1947088145491.22203963830398
0.88255.5888827744171.27029584132158
0.89256.019801942491.35439558143109
0.9256.4949923541651.45087260977086
0.91257.0145500976371.52900906477596
0.92257.5695759804161.55723773748207
0.93258.1441207512971.51257290891912
0.94258.7239760310641.39295462246872
0.95259.3182898088851.23539630151287
0.96260.0007555099251.15520719380907
0.97260.9565940222011.410115660569
0.98262.4361005731462.28821243286078
0.99264.4049279148293.71849774618862

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 28.9981585381223 & 4.6070776896032 \tabularnewline
0.02 & 32.1531175398640 & 5.09950685581591 \tabularnewline
0.03 & 35.6706985523513 & 6.20021829961788 \tabularnewline
0.04 & 39.3062665985778 & 7.28956303598679 \tabularnewline
0.05 & 43.0891246137782 & 8.61130229307248 \tabularnewline
0.06 & 47.1491065122476 & 10.5858169505517 \tabularnewline
0.07 & 51.6355545671604 & 13.0724911370737 \tabularnewline
0.08 & 56.6160696535335 & 15.4449288699894 \tabularnewline
0.09 & 62.0004802057421 & 17.0283992865695 \tabularnewline
0.1 & 67.5479634350298 & 17.4257355066425 \tabularnewline
0.11 & 72.9487277485739 & 16.6399739459725 \tabularnewline
0.12 & 77.9281589491289 & 15.0128454497018 \tabularnewline
0.13 & 82.3234169902375 & 13.0591857678250 \tabularnewline
0.14 & 86.109951986393 & 11.2966364778874 \tabularnewline
0.15 & 89.383271543387 & 10.131713045651 \tabularnewline
0.16 & 92.3158076056124 & 9.79368538251114 \tabularnewline
0.17 & 95.1090393129803 & 10.3033845295292 \tabularnewline
0.18 & 97.9535549207725 & 11.5096672856430 \tabularnewline
0.19 & 101.001542778790 & 13.1779128744436 \tabularnewline
0.2 & 104.351162448642 & 15.0526590958248 \tabularnewline
0.21 & 108.040710600861 & 16.882408312429 \tabularnewline
0.22 & 112.050898445976 & 18.4395214168568 \tabularnewline
0.23 & 116.314178111059 & 19.5448307065851 \tabularnewline
0.24 & 120.729976039924 & 20.0940611022986 \tabularnewline
0.25 & 125.183904973095 & 20.0731084377226 \tabularnewline
0.26 & 129.568067725443 & 19.5625206047816 \tabularnewline
0.27 & 133.799048391562 & 18.7207596740947 \tabularnewline
0.28 & 137.830469245105 & 17.7598258706871 \tabularnewline
0.29 & 141.658064000115 & 16.9078442181740 \tabularnewline
0.3 & 145.316768900466 & 16.3667400381291 \tabularnewline
0.31 & 148.870920830374 & 16.2693199143484 \tabularnewline
0.32 & 152.399881730521 & 16.6484337320736 \tabularnewline
0.33 & 155.982047034824 & 17.4315768216519 \tabularnewline
0.34 & 159.680196186247 & 18.4702789094366 \tabularnewline
0.35 & 163.530606663833 & 19.5778732774928 \tabularnewline
0.36 & 167.537460828383 & 20.5666467459383 \tabularnewline
0.37 & 171.673029743067 & 21.2766882314992 \tabularnewline
0.38 & 175.883107072769 & 21.595216810823 \tabularnewline
0.39 & 180.096343795310 & 21.4675810916689 \tabularnewline
0.4 & 184.235613046698 & 20.9024288955628 \tabularnewline
0.41 & 188.229373781423 & 19.9641951171835 \tabularnewline
0.42 & 192.021199968697 & 18.7605262990952 \tabularnewline
0.43 & 195.576133251837 & 17.4243077790536 \tabularnewline
0.44 & 198.883185066045 & 16.092579343879 \tabularnewline
0.45 & 201.954018613756 & 14.8884846500058 \tabularnewline
0.46 & 204.818450096018 & 13.9042767390180 \tabularnewline
0.47 & 207.517827730273 & 13.1892258373315 \tabularnewline
0.48 & 210.097534266671 & 12.7438612165205 \tabularnewline
0.49 & 212.599823076795 & 12.5254819338690 \tabularnewline
0.5 & 215.057985913297 & 12.4599895311216 \tabularnewline
0.51 & 217.492526804497 & 12.4600167483655 \tabularnewline
0.52 & 219.909647024472 & 12.4394774834046 \tabularnewline
0.53 & 222.301986821132 & 12.3274358818513 \tabularnewline
0.54 & 224.651263238449 & 12.0743222772008 \tabularnewline
0.55 & 226.932219560199 & 11.6560412072512 \tabularnewline
0.56 & 229.117178846239 & 11.0746605651433 \tabularnewline
0.57 & 231.180479018851 & 10.3545421521059 \tabularnewline
0.58 & 233.102155336547 & 9.53682974398187 \tabularnewline
0.59 & 234.870410035422 & 8.67243783415814 \tabularnewline
0.6 & 236.482637887352 & 7.81465733985034 \tabularnewline
0.61 & 237.945020833836 & 7.01133454591524 \tabularnewline
0.62 & 239.270923007049 & 6.29926565801118 \tabularnewline
0.63 & 240.478474257521 & 5.70011018317836 \tabularnewline
0.64 & 241.587805118212 & 5.21928239590233 \tabularnewline
0.65 & 242.618386847339 & 4.84575408227809 \tabularnewline
0.66 & 243.586851937425 & 4.55820830147581 \tabularnewline
0.67 & 244.505549169662 & 4.32774488635886 \tabularnewline
0.68 & 245.381950557744 & 4.12536242344815 \tabularnewline
0.69 & 246.218896801415 & 3.92643170961511 \tabularnewline
0.7 & 247.015555034920 & 3.71334006924962 \tabularnewline
0.71 & 247.768872330852 & 3.47746351583029 \tabularnewline
0.72 & 248.475243990240 & 3.21943976636056 \tabularnewline
0.73 & 249.132084700426 & 2.94729469821428 \tabularnewline
0.74 & 249.739005473823 & 2.67520184651828 \tabularnewline
0.75 & 250.29837087842 & 2.41929480842846 \tabularnewline
0.76 & 250.815139186962 & 2.19413500142647 \tabularnewline
0.77 & 251.296053418711 & 2.00874163775019 \tabularnewline
0.78 & 251.748415794204 & 1.86438233396191 \tabularnewline
0.79 & 252.178795449028 & 1.75375785336253 \tabularnewline
0.8 & 252.592050918095 & 1.66464283732202 \tabularnewline
0.81 & 252.990978724197 & 1.58394191938787 \tabularnewline
0.82 & 253.376738681362 & 1.50220377336056 \tabularnewline
0.83 & 253.749989363068 & 1.41662700350437 \tabularnewline
0.84 & 254.112441546141 & 1.33242859844959 \tabularnewline
0.85 & 254.468358154119 & 1.26169243861715 \tabularnewline
0.86 & 254.825452531624 & 1.22042085564396 \tabularnewline
0.87 & 255.194708814549 & 1.22203963830398 \tabularnewline
0.88 & 255.588882774417 & 1.27029584132158 \tabularnewline
0.89 & 256.01980194249 & 1.35439558143109 \tabularnewline
0.9 & 256.494992354165 & 1.45087260977086 \tabularnewline
0.91 & 257.014550097637 & 1.52900906477596 \tabularnewline
0.92 & 257.569575980416 & 1.55723773748207 \tabularnewline
0.93 & 258.144120751297 & 1.51257290891912 \tabularnewline
0.94 & 258.723976031064 & 1.39295462246872 \tabularnewline
0.95 & 259.318289808885 & 1.23539630151287 \tabularnewline
0.96 & 260.000755509925 & 1.15520719380907 \tabularnewline
0.97 & 260.956594022201 & 1.410115660569 \tabularnewline
0.98 & 262.436100573146 & 2.28821243286078 \tabularnewline
0.99 & 264.404927914829 & 3.71849774618862 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79006&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]28.9981585381223[/C][C]4.6070776896032[/C][/ROW]
[ROW][C]0.02[/C][C]32.1531175398640[/C][C]5.09950685581591[/C][/ROW]
[ROW][C]0.03[/C][C]35.6706985523513[/C][C]6.20021829961788[/C][/ROW]
[ROW][C]0.04[/C][C]39.3062665985778[/C][C]7.28956303598679[/C][/ROW]
[ROW][C]0.05[/C][C]43.0891246137782[/C][C]8.61130229307248[/C][/ROW]
[ROW][C]0.06[/C][C]47.1491065122476[/C][C]10.5858169505517[/C][/ROW]
[ROW][C]0.07[/C][C]51.6355545671604[/C][C]13.0724911370737[/C][/ROW]
[ROW][C]0.08[/C][C]56.6160696535335[/C][C]15.4449288699894[/C][/ROW]
[ROW][C]0.09[/C][C]62.0004802057421[/C][C]17.0283992865695[/C][/ROW]
[ROW][C]0.1[/C][C]67.5479634350298[/C][C]17.4257355066425[/C][/ROW]
[ROW][C]0.11[/C][C]72.9487277485739[/C][C]16.6399739459725[/C][/ROW]
[ROW][C]0.12[/C][C]77.9281589491289[/C][C]15.0128454497018[/C][/ROW]
[ROW][C]0.13[/C][C]82.3234169902375[/C][C]13.0591857678250[/C][/ROW]
[ROW][C]0.14[/C][C]86.109951986393[/C][C]11.2966364778874[/C][/ROW]
[ROW][C]0.15[/C][C]89.383271543387[/C][C]10.131713045651[/C][/ROW]
[ROW][C]0.16[/C][C]92.3158076056124[/C][C]9.79368538251114[/C][/ROW]
[ROW][C]0.17[/C][C]95.1090393129803[/C][C]10.3033845295292[/C][/ROW]
[ROW][C]0.18[/C][C]97.9535549207725[/C][C]11.5096672856430[/C][/ROW]
[ROW][C]0.19[/C][C]101.001542778790[/C][C]13.1779128744436[/C][/ROW]
[ROW][C]0.2[/C][C]104.351162448642[/C][C]15.0526590958248[/C][/ROW]
[ROW][C]0.21[/C][C]108.040710600861[/C][C]16.882408312429[/C][/ROW]
[ROW][C]0.22[/C][C]112.050898445976[/C][C]18.4395214168568[/C][/ROW]
[ROW][C]0.23[/C][C]116.314178111059[/C][C]19.5448307065851[/C][/ROW]
[ROW][C]0.24[/C][C]120.729976039924[/C][C]20.0940611022986[/C][/ROW]
[ROW][C]0.25[/C][C]125.183904973095[/C][C]20.0731084377226[/C][/ROW]
[ROW][C]0.26[/C][C]129.568067725443[/C][C]19.5625206047816[/C][/ROW]
[ROW][C]0.27[/C][C]133.799048391562[/C][C]18.7207596740947[/C][/ROW]
[ROW][C]0.28[/C][C]137.830469245105[/C][C]17.7598258706871[/C][/ROW]
[ROW][C]0.29[/C][C]141.658064000115[/C][C]16.9078442181740[/C][/ROW]
[ROW][C]0.3[/C][C]145.316768900466[/C][C]16.3667400381291[/C][/ROW]
[ROW][C]0.31[/C][C]148.870920830374[/C][C]16.2693199143484[/C][/ROW]
[ROW][C]0.32[/C][C]152.399881730521[/C][C]16.6484337320736[/C][/ROW]
[ROW][C]0.33[/C][C]155.982047034824[/C][C]17.4315768216519[/C][/ROW]
[ROW][C]0.34[/C][C]159.680196186247[/C][C]18.4702789094366[/C][/ROW]
[ROW][C]0.35[/C][C]163.530606663833[/C][C]19.5778732774928[/C][/ROW]
[ROW][C]0.36[/C][C]167.537460828383[/C][C]20.5666467459383[/C][/ROW]
[ROW][C]0.37[/C][C]171.673029743067[/C][C]21.2766882314992[/C][/ROW]
[ROW][C]0.38[/C][C]175.883107072769[/C][C]21.595216810823[/C][/ROW]
[ROW][C]0.39[/C][C]180.096343795310[/C][C]21.4675810916689[/C][/ROW]
[ROW][C]0.4[/C][C]184.235613046698[/C][C]20.9024288955628[/C][/ROW]
[ROW][C]0.41[/C][C]188.229373781423[/C][C]19.9641951171835[/C][/ROW]
[ROW][C]0.42[/C][C]192.021199968697[/C][C]18.7605262990952[/C][/ROW]
[ROW][C]0.43[/C][C]195.576133251837[/C][C]17.4243077790536[/C][/ROW]
[ROW][C]0.44[/C][C]198.883185066045[/C][C]16.092579343879[/C][/ROW]
[ROW][C]0.45[/C][C]201.954018613756[/C][C]14.8884846500058[/C][/ROW]
[ROW][C]0.46[/C][C]204.818450096018[/C][C]13.9042767390180[/C][/ROW]
[ROW][C]0.47[/C][C]207.517827730273[/C][C]13.1892258373315[/C][/ROW]
[ROW][C]0.48[/C][C]210.097534266671[/C][C]12.7438612165205[/C][/ROW]
[ROW][C]0.49[/C][C]212.599823076795[/C][C]12.5254819338690[/C][/ROW]
[ROW][C]0.5[/C][C]215.057985913297[/C][C]12.4599895311216[/C][/ROW]
[ROW][C]0.51[/C][C]217.492526804497[/C][C]12.4600167483655[/C][/ROW]
[ROW][C]0.52[/C][C]219.909647024472[/C][C]12.4394774834046[/C][/ROW]
[ROW][C]0.53[/C][C]222.301986821132[/C][C]12.3274358818513[/C][/ROW]
[ROW][C]0.54[/C][C]224.651263238449[/C][C]12.0743222772008[/C][/ROW]
[ROW][C]0.55[/C][C]226.932219560199[/C][C]11.6560412072512[/C][/ROW]
[ROW][C]0.56[/C][C]229.117178846239[/C][C]11.0746605651433[/C][/ROW]
[ROW][C]0.57[/C][C]231.180479018851[/C][C]10.3545421521059[/C][/ROW]
[ROW][C]0.58[/C][C]233.102155336547[/C][C]9.53682974398187[/C][/ROW]
[ROW][C]0.59[/C][C]234.870410035422[/C][C]8.67243783415814[/C][/ROW]
[ROW][C]0.6[/C][C]236.482637887352[/C][C]7.81465733985034[/C][/ROW]
[ROW][C]0.61[/C][C]237.945020833836[/C][C]7.01133454591524[/C][/ROW]
[ROW][C]0.62[/C][C]239.270923007049[/C][C]6.29926565801118[/C][/ROW]
[ROW][C]0.63[/C][C]240.478474257521[/C][C]5.70011018317836[/C][/ROW]
[ROW][C]0.64[/C][C]241.587805118212[/C][C]5.21928239590233[/C][/ROW]
[ROW][C]0.65[/C][C]242.618386847339[/C][C]4.84575408227809[/C][/ROW]
[ROW][C]0.66[/C][C]243.586851937425[/C][C]4.55820830147581[/C][/ROW]
[ROW][C]0.67[/C][C]244.505549169662[/C][C]4.32774488635886[/C][/ROW]
[ROW][C]0.68[/C][C]245.381950557744[/C][C]4.12536242344815[/C][/ROW]
[ROW][C]0.69[/C][C]246.218896801415[/C][C]3.92643170961511[/C][/ROW]
[ROW][C]0.7[/C][C]247.015555034920[/C][C]3.71334006924962[/C][/ROW]
[ROW][C]0.71[/C][C]247.768872330852[/C][C]3.47746351583029[/C][/ROW]
[ROW][C]0.72[/C][C]248.475243990240[/C][C]3.21943976636056[/C][/ROW]
[ROW][C]0.73[/C][C]249.132084700426[/C][C]2.94729469821428[/C][/ROW]
[ROW][C]0.74[/C][C]249.739005473823[/C][C]2.67520184651828[/C][/ROW]
[ROW][C]0.75[/C][C]250.29837087842[/C][C]2.41929480842846[/C][/ROW]
[ROW][C]0.76[/C][C]250.815139186962[/C][C]2.19413500142647[/C][/ROW]
[ROW][C]0.77[/C][C]251.296053418711[/C][C]2.00874163775019[/C][/ROW]
[ROW][C]0.78[/C][C]251.748415794204[/C][C]1.86438233396191[/C][/ROW]
[ROW][C]0.79[/C][C]252.178795449028[/C][C]1.75375785336253[/C][/ROW]
[ROW][C]0.8[/C][C]252.592050918095[/C][C]1.66464283732202[/C][/ROW]
[ROW][C]0.81[/C][C]252.990978724197[/C][C]1.58394191938787[/C][/ROW]
[ROW][C]0.82[/C][C]253.376738681362[/C][C]1.50220377336056[/C][/ROW]
[ROW][C]0.83[/C][C]253.749989363068[/C][C]1.41662700350437[/C][/ROW]
[ROW][C]0.84[/C][C]254.112441546141[/C][C]1.33242859844959[/C][/ROW]
[ROW][C]0.85[/C][C]254.468358154119[/C][C]1.26169243861715[/C][/ROW]
[ROW][C]0.86[/C][C]254.825452531624[/C][C]1.22042085564396[/C][/ROW]
[ROW][C]0.87[/C][C]255.194708814549[/C][C]1.22203963830398[/C][/ROW]
[ROW][C]0.88[/C][C]255.588882774417[/C][C]1.27029584132158[/C][/ROW]
[ROW][C]0.89[/C][C]256.01980194249[/C][C]1.35439558143109[/C][/ROW]
[ROW][C]0.9[/C][C]256.494992354165[/C][C]1.45087260977086[/C][/ROW]
[ROW][C]0.91[/C][C]257.014550097637[/C][C]1.52900906477596[/C][/ROW]
[ROW][C]0.92[/C][C]257.569575980416[/C][C]1.55723773748207[/C][/ROW]
[ROW][C]0.93[/C][C]258.144120751297[/C][C]1.51257290891912[/C][/ROW]
[ROW][C]0.94[/C][C]258.723976031064[/C][C]1.39295462246872[/C][/ROW]
[ROW][C]0.95[/C][C]259.318289808885[/C][C]1.23539630151287[/C][/ROW]
[ROW][C]0.96[/C][C]260.000755509925[/C][C]1.15520719380907[/C][/ROW]
[ROW][C]0.97[/C][C]260.956594022201[/C][C]1.410115660569[/C][/ROW]
[ROW][C]0.98[/C][C]262.436100573146[/C][C]2.28821243286078[/C][/ROW]
[ROW][C]0.99[/C][C]264.404927914829[/C][C]3.71849774618862[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79006&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79006&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
0.0128.99815853812234.6070776896032
0.0232.15311753986405.09950685581591
0.0335.67069855235136.20021829961788
0.0439.30626659857787.28956303598679
0.0543.08912461377828.61130229307248
0.0647.149106512247610.5858169505517
0.0751.635554567160413.0724911370737
0.0856.616069653533515.4449288699894
0.0962.000480205742117.0283992865695
0.167.547963435029817.4257355066425
0.1172.948727748573916.6399739459725
0.1277.928158949128915.0128454497018
0.1382.323416990237513.0591857678250
0.1486.10995198639311.2966364778874
0.1589.38327154338710.131713045651
0.1692.31580760561249.79368538251114
0.1795.109039312980310.3033845295292
0.1897.953554920772511.5096672856430
0.19101.00154277879013.1779128744436
0.2104.35116244864215.0526590958248
0.21108.04071060086116.882408312429
0.22112.05089844597618.4395214168568
0.23116.31417811105919.5448307065851
0.24120.72997603992420.0940611022986
0.25125.18390497309520.0731084377226
0.26129.56806772544319.5625206047816
0.27133.79904839156218.7207596740947
0.28137.83046924510517.7598258706871
0.29141.65806400011516.9078442181740
0.3145.31676890046616.3667400381291
0.31148.87092083037416.2693199143484
0.32152.39988173052116.6484337320736
0.33155.98204703482417.4315768216519
0.34159.68019618624718.4702789094366
0.35163.53060666383319.5778732774928
0.36167.53746082838320.5666467459383
0.37171.67302974306721.2766882314992
0.38175.88310707276921.595216810823
0.39180.09634379531021.4675810916689
0.4184.23561304669820.9024288955628
0.41188.22937378142319.9641951171835
0.42192.02119996869718.7605262990952
0.43195.57613325183717.4243077790536
0.44198.88318506604516.092579343879
0.45201.95401861375614.8884846500058
0.46204.81845009601813.9042767390180
0.47207.51782773027313.1892258373315
0.48210.09753426667112.7438612165205
0.49212.59982307679512.5254819338690
0.5215.05798591329712.4599895311216
0.51217.49252680449712.4600167483655
0.52219.90964702447212.4394774834046
0.53222.30198682113212.3274358818513
0.54224.65126323844912.0743222772008
0.55226.93221956019911.6560412072512
0.56229.11717884623911.0746605651433
0.57231.18047901885110.3545421521059
0.58233.1021553365479.53682974398187
0.59234.8704100354228.67243783415814
0.6236.4826378873527.81465733985034
0.61237.9450208338367.01133454591524
0.62239.2709230070496.29926565801118
0.63240.4784742575215.70011018317836
0.64241.5878051182125.21928239590233
0.65242.6183868473394.84575408227809
0.66243.5868519374254.55820830147581
0.67244.5055491696624.32774488635886
0.68245.3819505577444.12536242344815
0.69246.2188968014153.92643170961511
0.7247.0155550349203.71334006924962
0.71247.7688723308523.47746351583029
0.72248.4752439902403.21943976636056
0.73249.1320847004262.94729469821428
0.74249.7390054738232.67520184651828
0.75250.298370878422.41929480842846
0.76250.8151391869622.19413500142647
0.77251.2960534187112.00874163775019
0.78251.7484157942041.86438233396191
0.79252.1787954490281.75375785336253
0.8252.5920509180951.66464283732202
0.81252.9909787241971.58394191938787
0.82253.3767386813621.50220377336056
0.83253.7499893630681.41662700350437
0.84254.1124415461411.33242859844959
0.85254.4683581541191.26169243861715
0.86254.8254525316241.22042085564396
0.87255.1947088145491.22203963830398
0.88255.5888827744171.27029584132158
0.89256.019801942491.35439558143109
0.9256.4949923541651.45087260977086
0.91257.0145500976371.52900906477596
0.92257.5695759804161.55723773748207
0.93258.1441207512971.51257290891912
0.94258.7239760310641.39295462246872
0.95259.3182898088851.23539630151287
0.96260.0007555099251.15520719380907
0.97260.9565940222011.410115660569
0.98262.4361005731462.28821243286078
0.99264.4049279148293.71849774618862


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')