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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 computationWed, 21 Aug 2013 03:48:41 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Aug/21/t1377071340be6lhlwpxexnr9l.htm/, Retrieved Tue, 10 Feb 2026 08:20:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=211301, Retrieved Tue, 10 Feb 2026 08:20:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact292

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] [] [2013-08-21 07:48:41] [bdb7c0ed7ba273e65f9ee772c5dda4f0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
293544
282672
298980
239184
309852
304416
326160
337032
375084
326160
309852
385956
326160
244620
288108
217440
304416
250056
331596
298980
315288
353340
347904
413136
298980
250056
277236
201132
288108
222876
315288
298980
266364
380520
342468
391392
293544
271800
244620
201132
266364
239184
326160
315288
271800
364212
337032
434880
347904
212004
212004
212004
250056
250056
337032
309852
277236
347904
320724
462060
364212
212004
222876
184824
255492
293544
369648
364212
293544
342468
304416
434880
331596
266364
239184
179388
266364
320724
375084
353340
260928
375084
293544
451188
375084
271800
250056
168516
266364
255492
385956
385956
293544
380520
282672
440316
375084
277236
212004
146772
288108
277236
364212
418572
309852
347904
260928
451188

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=211301&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=211301&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211301&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
0.01157912.8938535117158.6570223331
0.02171992.89502322514162.3040376696
0.03183402.14995732213456.5815285269
0.04192274.70443594112556.3608853763
0.05199262.61804538410740.6934658662
0.06204645.5311250158676.45816370282
0.07208758.6201872597243.23427791344
0.08212095.4215086636994.22387389014
0.09215169.3188179447872.83446617847
0.1218362.3146845169322.0414016111
0.11221850.55110208710733.2307845165
0.12225614.70482079111677.8384501163
0.13229507.14842905111963.0239733652
0.14233336.31400493711616.4438624592
0.15236935.94633310816.9902599839
0.16240203.7276428799804.97575446644
0.17243109.6004527488806.62954368599
0.18245683.1198023547988.11141363456
0.19247991.0133430747439.05045231752
0.2250113.6831642167170.89763423678
0.21252125.8693169127129.52114827078
0.22254083.9443946677221.39474702971
0.23256020.5498497327347.84070687793
0.24257945.9916255837431.95519649815
0.25259854.6415967417435.2220633701
0.26261733.7090549997359.28388301749
0.27263571.5439007247235.96231337789
0.28265363.2774096117111.52493496704
0.29267112.843873627028.25616044071
0.3268831.7279180527013.54990665124
0.31270535.6539980627073.07782558077
0.32272240.6602577827196.33643221008
0.33273959.6868667527360.15030292455
0.34275700.2627117587535.98760271744
0.35277463.3978977217694.83280920565
0.36279243.5428714217809.0869731554
0.37281029.4407789487854.29217571084
0.38282805.7497125247815.89005205229
0.39284555.313618647689.54904780472
0.4286261.8602601887484.77945404115
0.41287912.7441096597223.97985516184
0.42289501.2312844236940.79499345666
0.43291027.8346808556674.14650849259
0.44292500.3820163936460.4941417325
0.45293932.7934218996326.87915214597
0.46295342.8616136956286.42738270059
0.47296749.5612457766336.258597475
0.48298170.4936384856460.67158561155
0.49299619.9843553196637.0277180686
0.5301108.134154076842.52819800773
0.51302640.8522682647056.93726225924
0.52304220.6546331567267.85576832443
0.53305847.851911867469.35150551574
0.54307521.716483957661.6408279898
0.55309241.3029778797846.41496488132
0.56311005.7699829778026.97682951777
0.57312814.2529605048201.56299456571
0.58314665.5015173928366.22399399355
0.59316557.5604298798515.42728297991
0.6318487.7189564498643.82697120376
0.61320452.8006757878749.33040616807
0.62322449.683622668834.11789049579
0.63324475.8135450988903.12533698945
0.64326529.4675732068961.87282104568
0.65328609.6538712449015.32369293106
0.66330715.7419392749062.64348931111
0.67332847.1075959119101.33716266433
0.68335003.1398195519128.41185113042
0.69337183.8300469479145.32696592229
0.7339390.8650490349160.00418491259
0.71341628.7795630099187.36409376184
0.72343905.4656941879246.06042147596
0.73346231.3519672759348.94592310493
0.74348616.9333791139494.17626789795
0.75351068.9680332419659.77179357421
0.76353586.30626179802.99131117431
0.77356156.6817169039870.9584232212
0.78358755.6911655459813.42650085018
0.79361348.6854309039597.56324282823
0.8363895.6429532089215.2565825518
0.81366358.5311361518687.04078449041
0.82368710.2174809218064.09271171056
0.83370943.6253146997426.16796116529
0.84373079.744250456876.23565828097
0.85375173.8635208936530.23833663257
0.86377321.2205052526503.39184806095
0.87379664.7323299526911.12304049283
0.88382405.1316552367887.14430877114
0.89385804.6725011149570.96583525426
0.9390162.78945391911988.5543206763
0.91395739.28984364914869.0017688194
0.92402626.16789018717548.4287057365
0.93410625.2636045319120.9768339932
0.94419236.27691203418883.0832681078
0.95427821.1695565416849.7232694484
0.96435862.57024169413837.7805583265
0.97443159.54933297710725.1493359391
0.98449994.9365316258015.27055228149
0.99456875.6733594527953.13286360016

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 157912.89385351 & 17158.6570223331 \tabularnewline
0.02 & 171992.895023225 & 14162.3040376696 \tabularnewline
0.03 & 183402.149957322 & 13456.5815285269 \tabularnewline
0.04 & 192274.704435941 & 12556.3608853763 \tabularnewline
0.05 & 199262.618045384 & 10740.6934658662 \tabularnewline
0.06 & 204645.531125015 & 8676.45816370282 \tabularnewline
0.07 & 208758.620187259 & 7243.23427791344 \tabularnewline
0.08 & 212095.421508663 & 6994.22387389014 \tabularnewline
0.09 & 215169.318817944 & 7872.83446617847 \tabularnewline
0.1 & 218362.314684516 & 9322.0414016111 \tabularnewline
0.11 & 221850.551102087 & 10733.2307845165 \tabularnewline
0.12 & 225614.704820791 & 11677.8384501163 \tabularnewline
0.13 & 229507.148429051 & 11963.0239733652 \tabularnewline
0.14 & 233336.314004937 & 11616.4438624592 \tabularnewline
0.15 & 236935.946333 & 10816.9902599839 \tabularnewline
0.16 & 240203.727642879 & 9804.97575446644 \tabularnewline
0.17 & 243109.600452748 & 8806.62954368599 \tabularnewline
0.18 & 245683.119802354 & 7988.11141363456 \tabularnewline
0.19 & 247991.013343074 & 7439.05045231752 \tabularnewline
0.2 & 250113.683164216 & 7170.89763423678 \tabularnewline
0.21 & 252125.869316912 & 7129.52114827078 \tabularnewline
0.22 & 254083.944394667 & 7221.39474702971 \tabularnewline
0.23 & 256020.549849732 & 7347.84070687793 \tabularnewline
0.24 & 257945.991625583 & 7431.95519649815 \tabularnewline
0.25 & 259854.641596741 & 7435.2220633701 \tabularnewline
0.26 & 261733.709054999 & 7359.28388301749 \tabularnewline
0.27 & 263571.543900724 & 7235.96231337789 \tabularnewline
0.28 & 265363.277409611 & 7111.52493496704 \tabularnewline
0.29 & 267112.84387362 & 7028.25616044071 \tabularnewline
0.3 & 268831.727918052 & 7013.54990665124 \tabularnewline
0.31 & 270535.653998062 & 7073.07782558077 \tabularnewline
0.32 & 272240.660257782 & 7196.33643221008 \tabularnewline
0.33 & 273959.686866752 & 7360.15030292455 \tabularnewline
0.34 & 275700.262711758 & 7535.98760271744 \tabularnewline
0.35 & 277463.397897721 & 7694.83280920565 \tabularnewline
0.36 & 279243.542871421 & 7809.0869731554 \tabularnewline
0.37 & 281029.440778948 & 7854.29217571084 \tabularnewline
0.38 & 282805.749712524 & 7815.89005205229 \tabularnewline
0.39 & 284555.31361864 & 7689.54904780472 \tabularnewline
0.4 & 286261.860260188 & 7484.77945404115 \tabularnewline
0.41 & 287912.744109659 & 7223.97985516184 \tabularnewline
0.42 & 289501.231284423 & 6940.79499345666 \tabularnewline
0.43 & 291027.834680855 & 6674.14650849259 \tabularnewline
0.44 & 292500.382016393 & 6460.4941417325 \tabularnewline
0.45 & 293932.793421899 & 6326.87915214597 \tabularnewline
0.46 & 295342.861613695 & 6286.42738270059 \tabularnewline
0.47 & 296749.561245776 & 6336.258597475 \tabularnewline
0.48 & 298170.493638485 & 6460.67158561155 \tabularnewline
0.49 & 299619.984355319 & 6637.0277180686 \tabularnewline
0.5 & 301108.13415407 & 6842.52819800773 \tabularnewline
0.51 & 302640.852268264 & 7056.93726225924 \tabularnewline
0.52 & 304220.654633156 & 7267.85576832443 \tabularnewline
0.53 & 305847.85191186 & 7469.35150551574 \tabularnewline
0.54 & 307521.71648395 & 7661.6408279898 \tabularnewline
0.55 & 309241.302977879 & 7846.41496488132 \tabularnewline
0.56 & 311005.769982977 & 8026.97682951777 \tabularnewline
0.57 & 312814.252960504 & 8201.56299456571 \tabularnewline
0.58 & 314665.501517392 & 8366.22399399355 \tabularnewline
0.59 & 316557.560429879 & 8515.42728297991 \tabularnewline
0.6 & 318487.718956449 & 8643.82697120376 \tabularnewline
0.61 & 320452.800675787 & 8749.33040616807 \tabularnewline
0.62 & 322449.68362266 & 8834.11789049579 \tabularnewline
0.63 & 324475.813545098 & 8903.12533698945 \tabularnewline
0.64 & 326529.467573206 & 8961.87282104568 \tabularnewline
0.65 & 328609.653871244 & 9015.32369293106 \tabularnewline
0.66 & 330715.741939274 & 9062.64348931111 \tabularnewline
0.67 & 332847.107595911 & 9101.33716266433 \tabularnewline
0.68 & 335003.139819551 & 9128.41185113042 \tabularnewline
0.69 & 337183.830046947 & 9145.32696592229 \tabularnewline
0.7 & 339390.865049034 & 9160.00418491259 \tabularnewline
0.71 & 341628.779563009 & 9187.36409376184 \tabularnewline
0.72 & 343905.465694187 & 9246.06042147596 \tabularnewline
0.73 & 346231.351967275 & 9348.94592310493 \tabularnewline
0.74 & 348616.933379113 & 9494.17626789795 \tabularnewline
0.75 & 351068.968033241 & 9659.77179357421 \tabularnewline
0.76 & 353586.3062617 & 9802.99131117431 \tabularnewline
0.77 & 356156.681716903 & 9870.9584232212 \tabularnewline
0.78 & 358755.691165545 & 9813.42650085018 \tabularnewline
0.79 & 361348.685430903 & 9597.56324282823 \tabularnewline
0.8 & 363895.642953208 & 9215.2565825518 \tabularnewline
0.81 & 366358.531136151 & 8687.04078449041 \tabularnewline
0.82 & 368710.217480921 & 8064.09271171056 \tabularnewline
0.83 & 370943.625314699 & 7426.16796116529 \tabularnewline
0.84 & 373079.74425045 & 6876.23565828097 \tabularnewline
0.85 & 375173.863520893 & 6530.23833663257 \tabularnewline
0.86 & 377321.220505252 & 6503.39184806095 \tabularnewline
0.87 & 379664.732329952 & 6911.12304049283 \tabularnewline
0.88 & 382405.131655236 & 7887.14430877114 \tabularnewline
0.89 & 385804.672501114 & 9570.96583525426 \tabularnewline
0.9 & 390162.789453919 & 11988.5543206763 \tabularnewline
0.91 & 395739.289843649 & 14869.0017688194 \tabularnewline
0.92 & 402626.167890187 & 17548.4287057365 \tabularnewline
0.93 & 410625.26360453 & 19120.9768339932 \tabularnewline
0.94 & 419236.276912034 & 18883.0832681078 \tabularnewline
0.95 & 427821.16955654 & 16849.7232694484 \tabularnewline
0.96 & 435862.570241694 & 13837.7805583265 \tabularnewline
0.97 & 443159.549332977 & 10725.1493359391 \tabularnewline
0.98 & 449994.936531625 & 8015.27055228149 \tabularnewline
0.99 & 456875.673359452 & 7953.13286360016 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=211301&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]157912.89385351[/C][C]17158.6570223331[/C][/ROW]
[ROW][C]0.02[/C][C]171992.895023225[/C][C]14162.3040376696[/C][/ROW]
[ROW][C]0.03[/C][C]183402.149957322[/C][C]13456.5815285269[/C][/ROW]
[ROW][C]0.04[/C][C]192274.704435941[/C][C]12556.3608853763[/C][/ROW]
[ROW][C]0.05[/C][C]199262.618045384[/C][C]10740.6934658662[/C][/ROW]
[ROW][C]0.06[/C][C]204645.531125015[/C][C]8676.45816370282[/C][/ROW]
[ROW][C]0.07[/C][C]208758.620187259[/C][C]7243.23427791344[/C][/ROW]
[ROW][C]0.08[/C][C]212095.421508663[/C][C]6994.22387389014[/C][/ROW]
[ROW][C]0.09[/C][C]215169.318817944[/C][C]7872.83446617847[/C][/ROW]
[ROW][C]0.1[/C][C]218362.314684516[/C][C]9322.0414016111[/C][/ROW]
[ROW][C]0.11[/C][C]221850.551102087[/C][C]10733.2307845165[/C][/ROW]
[ROW][C]0.12[/C][C]225614.704820791[/C][C]11677.8384501163[/C][/ROW]
[ROW][C]0.13[/C][C]229507.148429051[/C][C]11963.0239733652[/C][/ROW]
[ROW][C]0.14[/C][C]233336.314004937[/C][C]11616.4438624592[/C][/ROW]
[ROW][C]0.15[/C][C]236935.946333[/C][C]10816.9902599839[/C][/ROW]
[ROW][C]0.16[/C][C]240203.727642879[/C][C]9804.97575446644[/C][/ROW]
[ROW][C]0.17[/C][C]243109.600452748[/C][C]8806.62954368599[/C][/ROW]
[ROW][C]0.18[/C][C]245683.119802354[/C][C]7988.11141363456[/C][/ROW]
[ROW][C]0.19[/C][C]247991.013343074[/C][C]7439.05045231752[/C][/ROW]
[ROW][C]0.2[/C][C]250113.683164216[/C][C]7170.89763423678[/C][/ROW]
[ROW][C]0.21[/C][C]252125.869316912[/C][C]7129.52114827078[/C][/ROW]
[ROW][C]0.22[/C][C]254083.944394667[/C][C]7221.39474702971[/C][/ROW]
[ROW][C]0.23[/C][C]256020.549849732[/C][C]7347.84070687793[/C][/ROW]
[ROW][C]0.24[/C][C]257945.991625583[/C][C]7431.95519649815[/C][/ROW]
[ROW][C]0.25[/C][C]259854.641596741[/C][C]7435.2220633701[/C][/ROW]
[ROW][C]0.26[/C][C]261733.709054999[/C][C]7359.28388301749[/C][/ROW]
[ROW][C]0.27[/C][C]263571.543900724[/C][C]7235.96231337789[/C][/ROW]
[ROW][C]0.28[/C][C]265363.277409611[/C][C]7111.52493496704[/C][/ROW]
[ROW][C]0.29[/C][C]267112.84387362[/C][C]7028.25616044071[/C][/ROW]
[ROW][C]0.3[/C][C]268831.727918052[/C][C]7013.54990665124[/C][/ROW]
[ROW][C]0.31[/C][C]270535.653998062[/C][C]7073.07782558077[/C][/ROW]
[ROW][C]0.32[/C][C]272240.660257782[/C][C]7196.33643221008[/C][/ROW]
[ROW][C]0.33[/C][C]273959.686866752[/C][C]7360.15030292455[/C][/ROW]
[ROW][C]0.34[/C][C]275700.262711758[/C][C]7535.98760271744[/C][/ROW]
[ROW][C]0.35[/C][C]277463.397897721[/C][C]7694.83280920565[/C][/ROW]
[ROW][C]0.36[/C][C]279243.542871421[/C][C]7809.0869731554[/C][/ROW]
[ROW][C]0.37[/C][C]281029.440778948[/C][C]7854.29217571084[/C][/ROW]
[ROW][C]0.38[/C][C]282805.749712524[/C][C]7815.89005205229[/C][/ROW]
[ROW][C]0.39[/C][C]284555.31361864[/C][C]7689.54904780472[/C][/ROW]
[ROW][C]0.4[/C][C]286261.860260188[/C][C]7484.77945404115[/C][/ROW]
[ROW][C]0.41[/C][C]287912.744109659[/C][C]7223.97985516184[/C][/ROW]
[ROW][C]0.42[/C][C]289501.231284423[/C][C]6940.79499345666[/C][/ROW]
[ROW][C]0.43[/C][C]291027.834680855[/C][C]6674.14650849259[/C][/ROW]
[ROW][C]0.44[/C][C]292500.382016393[/C][C]6460.4941417325[/C][/ROW]
[ROW][C]0.45[/C][C]293932.793421899[/C][C]6326.87915214597[/C][/ROW]
[ROW][C]0.46[/C][C]295342.861613695[/C][C]6286.42738270059[/C][/ROW]
[ROW][C]0.47[/C][C]296749.561245776[/C][C]6336.258597475[/C][/ROW]
[ROW][C]0.48[/C][C]298170.493638485[/C][C]6460.67158561155[/C][/ROW]
[ROW][C]0.49[/C][C]299619.984355319[/C][C]6637.0277180686[/C][/ROW]
[ROW][C]0.5[/C][C]301108.13415407[/C][C]6842.52819800773[/C][/ROW]
[ROW][C]0.51[/C][C]302640.852268264[/C][C]7056.93726225924[/C][/ROW]
[ROW][C]0.52[/C][C]304220.654633156[/C][C]7267.85576832443[/C][/ROW]
[ROW][C]0.53[/C][C]305847.85191186[/C][C]7469.35150551574[/C][/ROW]
[ROW][C]0.54[/C][C]307521.71648395[/C][C]7661.6408279898[/C][/ROW]
[ROW][C]0.55[/C][C]309241.302977879[/C][C]7846.41496488132[/C][/ROW]
[ROW][C]0.56[/C][C]311005.769982977[/C][C]8026.97682951777[/C][/ROW]
[ROW][C]0.57[/C][C]312814.252960504[/C][C]8201.56299456571[/C][/ROW]
[ROW][C]0.58[/C][C]314665.501517392[/C][C]8366.22399399355[/C][/ROW]
[ROW][C]0.59[/C][C]316557.560429879[/C][C]8515.42728297991[/C][/ROW]
[ROW][C]0.6[/C][C]318487.718956449[/C][C]8643.82697120376[/C][/ROW]
[ROW][C]0.61[/C][C]320452.800675787[/C][C]8749.33040616807[/C][/ROW]
[ROW][C]0.62[/C][C]322449.68362266[/C][C]8834.11789049579[/C][/ROW]
[ROW][C]0.63[/C][C]324475.813545098[/C][C]8903.12533698945[/C][/ROW]
[ROW][C]0.64[/C][C]326529.467573206[/C][C]8961.87282104568[/C][/ROW]
[ROW][C]0.65[/C][C]328609.653871244[/C][C]9015.32369293106[/C][/ROW]
[ROW][C]0.66[/C][C]330715.741939274[/C][C]9062.64348931111[/C][/ROW]
[ROW][C]0.67[/C][C]332847.107595911[/C][C]9101.33716266433[/C][/ROW]
[ROW][C]0.68[/C][C]335003.139819551[/C][C]9128.41185113042[/C][/ROW]
[ROW][C]0.69[/C][C]337183.830046947[/C][C]9145.32696592229[/C][/ROW]
[ROW][C]0.7[/C][C]339390.865049034[/C][C]9160.00418491259[/C][/ROW]
[ROW][C]0.71[/C][C]341628.779563009[/C][C]9187.36409376184[/C][/ROW]
[ROW][C]0.72[/C][C]343905.465694187[/C][C]9246.06042147596[/C][/ROW]
[ROW][C]0.73[/C][C]346231.351967275[/C][C]9348.94592310493[/C][/ROW]
[ROW][C]0.74[/C][C]348616.933379113[/C][C]9494.17626789795[/C][/ROW]
[ROW][C]0.75[/C][C]351068.968033241[/C][C]9659.77179357421[/C][/ROW]
[ROW][C]0.76[/C][C]353586.3062617[/C][C]9802.99131117431[/C][/ROW]
[ROW][C]0.77[/C][C]356156.681716903[/C][C]9870.9584232212[/C][/ROW]
[ROW][C]0.78[/C][C]358755.691165545[/C][C]9813.42650085018[/C][/ROW]
[ROW][C]0.79[/C][C]361348.685430903[/C][C]9597.56324282823[/C][/ROW]
[ROW][C]0.8[/C][C]363895.642953208[/C][C]9215.2565825518[/C][/ROW]
[ROW][C]0.81[/C][C]366358.531136151[/C][C]8687.04078449041[/C][/ROW]
[ROW][C]0.82[/C][C]368710.217480921[/C][C]8064.09271171056[/C][/ROW]
[ROW][C]0.83[/C][C]370943.625314699[/C][C]7426.16796116529[/C][/ROW]
[ROW][C]0.84[/C][C]373079.74425045[/C][C]6876.23565828097[/C][/ROW]
[ROW][C]0.85[/C][C]375173.863520893[/C][C]6530.23833663257[/C][/ROW]
[ROW][C]0.86[/C][C]377321.220505252[/C][C]6503.39184806095[/C][/ROW]
[ROW][C]0.87[/C][C]379664.732329952[/C][C]6911.12304049283[/C][/ROW]
[ROW][C]0.88[/C][C]382405.131655236[/C][C]7887.14430877114[/C][/ROW]
[ROW][C]0.89[/C][C]385804.672501114[/C][C]9570.96583525426[/C][/ROW]
[ROW][C]0.9[/C][C]390162.789453919[/C][C]11988.5543206763[/C][/ROW]
[ROW][C]0.91[/C][C]395739.289843649[/C][C]14869.0017688194[/C][/ROW]
[ROW][C]0.92[/C][C]402626.167890187[/C][C]17548.4287057365[/C][/ROW]
[ROW][C]0.93[/C][C]410625.26360453[/C][C]19120.9768339932[/C][/ROW]
[ROW][C]0.94[/C][C]419236.276912034[/C][C]18883.0832681078[/C][/ROW]
[ROW][C]0.95[/C][C]427821.16955654[/C][C]16849.7232694484[/C][/ROW]
[ROW][C]0.96[/C][C]435862.570241694[/C][C]13837.7805583265[/C][/ROW]
[ROW][C]0.97[/C][C]443159.549332977[/C][C]10725.1493359391[/C][/ROW]
[ROW][C]0.98[/C][C]449994.936531625[/C][C]8015.27055228149[/C][/ROW]
[ROW][C]0.99[/C][C]456875.673359452[/C][C]7953.13286360016[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=211301&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=211301&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
0.01157912.8938535117158.6570223331
0.02171992.89502322514162.3040376696
0.03183402.14995732213456.5815285269
0.04192274.70443594112556.3608853763
0.05199262.61804538410740.6934658662
0.06204645.5311250158676.45816370282
0.07208758.6201872597243.23427791344
0.08212095.4215086636994.22387389014
0.09215169.3188179447872.83446617847
0.1218362.3146845169322.0414016111
0.11221850.55110208710733.2307845165
0.12225614.70482079111677.8384501163
0.13229507.14842905111963.0239733652
0.14233336.31400493711616.4438624592
0.15236935.94633310816.9902599839
0.16240203.7276428799804.97575446644
0.17243109.6004527488806.62954368599
0.18245683.1198023547988.11141363456
0.19247991.0133430747439.05045231752
0.2250113.6831642167170.89763423678
0.21252125.8693169127129.52114827078
0.22254083.9443946677221.39474702971
0.23256020.5498497327347.84070687793
0.24257945.9916255837431.95519649815
0.25259854.6415967417435.2220633701
0.26261733.7090549997359.28388301749
0.27263571.5439007247235.96231337789
0.28265363.2774096117111.52493496704
0.29267112.843873627028.25616044071
0.3268831.7279180527013.54990665124
0.31270535.6539980627073.07782558077
0.32272240.6602577827196.33643221008
0.33273959.6868667527360.15030292455
0.34275700.2627117587535.98760271744
0.35277463.3978977217694.83280920565
0.36279243.5428714217809.0869731554
0.37281029.4407789487854.29217571084
0.38282805.7497125247815.89005205229
0.39284555.313618647689.54904780472
0.4286261.8602601887484.77945404115
0.41287912.7441096597223.97985516184
0.42289501.2312844236940.79499345666
0.43291027.8346808556674.14650849259
0.44292500.3820163936460.4941417325
0.45293932.7934218996326.87915214597
0.46295342.8616136956286.42738270059
0.47296749.5612457766336.258597475
0.48298170.4936384856460.67158561155
0.49299619.9843553196637.0277180686
0.5301108.134154076842.52819800773
0.51302640.8522682647056.93726225924
0.52304220.6546331567267.85576832443
0.53305847.851911867469.35150551574
0.54307521.716483957661.6408279898
0.55309241.3029778797846.41496488132
0.56311005.7699829778026.97682951777
0.57312814.2529605048201.56299456571
0.58314665.5015173928366.22399399355
0.59316557.5604298798515.42728297991
0.6318487.7189564498643.82697120376
0.61320452.8006757878749.33040616807
0.62322449.683622668834.11789049579
0.63324475.8135450988903.12533698945
0.64326529.4675732068961.87282104568
0.65328609.6538712449015.32369293106
0.66330715.7419392749062.64348931111
0.67332847.1075959119101.33716266433
0.68335003.1398195519128.41185113042
0.69337183.8300469479145.32696592229
0.7339390.8650490349160.00418491259
0.71341628.7795630099187.36409376184
0.72343905.4656941879246.06042147596
0.73346231.3519672759348.94592310493
0.74348616.9333791139494.17626789795
0.75351068.9680332419659.77179357421
0.76353586.30626179802.99131117431
0.77356156.6817169039870.9584232212
0.78358755.6911655459813.42650085018
0.79361348.6854309039597.56324282823
0.8363895.6429532089215.2565825518
0.81366358.5311361518687.04078449041
0.82368710.2174809218064.09271171056
0.83370943.6253146997426.16796116529
0.84373079.744250456876.23565828097
0.85375173.8635208936530.23833663257
0.86377321.2205052526503.39184806095
0.87379664.7323299526911.12304049283
0.88382405.1316552367887.14430877114
0.89385804.6725011149570.96583525426
0.9390162.78945391911988.5543206763
0.91395739.28984364914869.0017688194
0.92402626.16789018717548.4287057365
0.93410625.2636045319120.9768339932
0.94419236.27691203418883.0832681078
0.95427821.1695565416849.7232694484
0.96435862.57024169413837.7805583265
0.97443159.54933297710725.1493359391
0.98449994.9365316258015.27055228149
0.99456875.6733594527953.13286360016


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')