Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 06 Oct 2016 21:27:57 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/06/t1475785775pw7zb7i1chunlsc.htm/, Retrieved Sat, 04 May 2024 16:02:54 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 16:02:54 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0
Dataseries X:
272567
266674
301601
322421
313776
300156
315745
299214
295184
340003
332748
316337
293572
308713
354188
334540
313285
337881
356955
323661
296034
377623
342590
300905
309470
271492
307759
326106
335576
310485
335173
298344
288269
319410
327692
315401
277720
260573
318025
300264
317640
303273
315089
275840
292823
339759
328032
344675
260952
275466
331940
347644
338063
384283
398482
347062
350731
368799
387710
362988




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=0

As an alternative you can also use a QR Code:  

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
0.01261084.2935910631616.23153574112
0.02262180.5419605333241.36058067524
0.03263788.3911734264460.66760137771
0.04265708.9098149525046.7063186491
0.05267733.0143276495164.42851431884
0.06269718.9345498895115.46078240484
0.07271612.790452825161.00596210362
0.08273428.9019100435437.29978452222
0.09275215.1669592935943.68684772064
0.1277021.6448453176584.15708739115
0.11278880.2739096057227.35056144557
0.12280796.6068519487750.99130645893
0.13282751.0989451428066.44760423824
0.14284706.4281378068130.16891355928
0.15286617.3692385027945.10416886001
0.16288440.3360224357551.42960218584
0.17290140.622962577013.90015004387
0.18291696.4345516886403.57673639523
0.19293099.7576339645786.87075631503
0.2294354.8109697875216.3251189947
0.21295475.1030502124726.29169377454
0.22296480.0787506164335.72661455258
0.23297392.0626605744051.42353646508
0.24298233.8623419883870.61615485564
0.25299027.098889173786.32850239077
0.26299791.1480254973787.97486889035
0.27300542.5091026683861.04409485878
0.28301294.4406630163989.27712554233
0.29302056.7646063924153.1519750833
0.3302835.8064053674332.91748579035
0.31303634.4813864524509.61628100717
0.32304452.548999484665.79212309875
0.33305287.0435200554788.09717244433
0.34306132.8629062964866.95585769782
0.35306983.4704984294897.30945777336
0.36307831.646416664878.78713307953
0.37308670.2210831674814.6734361178
0.38309492.7314043934712.02948198633
0.39310293.9565143334580.12878672588
0.4311070.3090806794429.4171183835
0.41311820.0752304854272.31131851272
0.42312543.5083438944120.8784020287
0.43313242.7887657753987.02380616071
0.44313921.8641935883881.15569239135
0.45314586.186316763813.27864032654
0.46315242.3603169063790.46038561401
0.47315897.7263567253816.45134911784
0.48316559.8962899283891.58340564944
0.49317236.2735628164012.48313681315
0.5317933.5880805234172.21265341381
0.51318657.4790674374361.45938321929
0.52319412.1565475314569.22564041757
0.53320200.165741614783.41427662943
0.54321022.2691093654992.00299232396
0.55321877.4494301365184.21473747714
0.56322763.0261212075351.00062515326
0.57323674.8677999955484.31368047097
0.58324607.6782725375578.84164542465
0.59325555.331217465630.97563895611
0.6326511.2304419585640.10200293848
0.61327468.6765391865606.04706482275
0.62328421.2254791685532.2608707347
0.63329363.0285792795423.08613386684
0.64330289.1453890515284.02386199599
0.65331195.8210251635122.82580618663
0.66332080.7179356524947.99201214464
0.67332943.0900554534769.1150611402
0.68333783.8861402684596.50662944151
0.69334605.7698852264440.18700984865
0.7335413.048033224309.53625146449
0.71336211.5044204754212.70659053954
0.72337008.1477787484156.06258376948
0.73337810.8936997364142.36847665402
0.74338628.2154635564173.03437374307
0.75339468.8125209344245.17699395523
0.76340341.3562327844355.06634863692
0.77341254.3760084864496.95832181368
0.78342216.3412142954665.80303836186
0.79343235.9726132214857.75261804151
0.8344322.7821846025073.08926045271
0.81345487.796238325315.45059365234
0.82346744.3707263985592.15732985542
0.83348108.9661492125914.21503721404
0.84349601.7147941946292.53802452028
0.85351246.580874036737.4304698605
0.86353070.8754793577253.93740705526
0.87355103.8392236387839.50321070031
0.88357373.9666637498479.1538168723
0.89359904.7926312039141.92272086381
0.9362709.1537444369775.21506851938
0.91365782.74090764310302.4342348695
0.92369099.34169773210625.793991165
0.93372612.4151663510641.3324571491
0.94376268.9965863110274.2332828142
0.95380037.7645867629539.86880257065
0.96383935.5797565518633.35881673691
0.97388003.3528942188015.35308619291
0.98392161.6123043258266.30320876658
0.99395957.3431710539411.60015950405

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 261084.293591063 & 1616.23153574112 \tabularnewline
0.02 & 262180.541960533 & 3241.36058067524 \tabularnewline
0.03 & 263788.391173426 & 4460.66760137771 \tabularnewline
0.04 & 265708.909814952 & 5046.7063186491 \tabularnewline
0.05 & 267733.014327649 & 5164.42851431884 \tabularnewline
0.06 & 269718.934549889 & 5115.46078240484 \tabularnewline
0.07 & 271612.79045282 & 5161.00596210362 \tabularnewline
0.08 & 273428.901910043 & 5437.29978452222 \tabularnewline
0.09 & 275215.166959293 & 5943.68684772064 \tabularnewline
0.1 & 277021.644845317 & 6584.15708739115 \tabularnewline
0.11 & 278880.273909605 & 7227.35056144557 \tabularnewline
0.12 & 280796.606851948 & 7750.99130645893 \tabularnewline
0.13 & 282751.098945142 & 8066.44760423824 \tabularnewline
0.14 & 284706.428137806 & 8130.16891355928 \tabularnewline
0.15 & 286617.369238502 & 7945.10416886001 \tabularnewline
0.16 & 288440.336022435 & 7551.42960218584 \tabularnewline
0.17 & 290140.62296257 & 7013.90015004387 \tabularnewline
0.18 & 291696.434551688 & 6403.57673639523 \tabularnewline
0.19 & 293099.757633964 & 5786.87075631503 \tabularnewline
0.2 & 294354.810969787 & 5216.3251189947 \tabularnewline
0.21 & 295475.103050212 & 4726.29169377454 \tabularnewline
0.22 & 296480.078750616 & 4335.72661455258 \tabularnewline
0.23 & 297392.062660574 & 4051.42353646508 \tabularnewline
0.24 & 298233.862341988 & 3870.61615485564 \tabularnewline
0.25 & 299027.09888917 & 3786.32850239077 \tabularnewline
0.26 & 299791.148025497 & 3787.97486889035 \tabularnewline
0.27 & 300542.509102668 & 3861.04409485878 \tabularnewline
0.28 & 301294.440663016 & 3989.27712554233 \tabularnewline
0.29 & 302056.764606392 & 4153.1519750833 \tabularnewline
0.3 & 302835.806405367 & 4332.91748579035 \tabularnewline
0.31 & 303634.481386452 & 4509.61628100717 \tabularnewline
0.32 & 304452.54899948 & 4665.79212309875 \tabularnewline
0.33 & 305287.043520055 & 4788.09717244433 \tabularnewline
0.34 & 306132.862906296 & 4866.95585769782 \tabularnewline
0.35 & 306983.470498429 & 4897.30945777336 \tabularnewline
0.36 & 307831.64641666 & 4878.78713307953 \tabularnewline
0.37 & 308670.221083167 & 4814.6734361178 \tabularnewline
0.38 & 309492.731404393 & 4712.02948198633 \tabularnewline
0.39 & 310293.956514333 & 4580.12878672588 \tabularnewline
0.4 & 311070.309080679 & 4429.4171183835 \tabularnewline
0.41 & 311820.075230485 & 4272.31131851272 \tabularnewline
0.42 & 312543.508343894 & 4120.8784020287 \tabularnewline
0.43 & 313242.788765775 & 3987.02380616071 \tabularnewline
0.44 & 313921.864193588 & 3881.15569239135 \tabularnewline
0.45 & 314586.18631676 & 3813.27864032654 \tabularnewline
0.46 & 315242.360316906 & 3790.46038561401 \tabularnewline
0.47 & 315897.726356725 & 3816.45134911784 \tabularnewline
0.48 & 316559.896289928 & 3891.58340564944 \tabularnewline
0.49 & 317236.273562816 & 4012.48313681315 \tabularnewline
0.5 & 317933.588080523 & 4172.21265341381 \tabularnewline
0.51 & 318657.479067437 & 4361.45938321929 \tabularnewline
0.52 & 319412.156547531 & 4569.22564041757 \tabularnewline
0.53 & 320200.16574161 & 4783.41427662943 \tabularnewline
0.54 & 321022.269109365 & 4992.00299232396 \tabularnewline
0.55 & 321877.449430136 & 5184.21473747714 \tabularnewline
0.56 & 322763.026121207 & 5351.00062515326 \tabularnewline
0.57 & 323674.867799995 & 5484.31368047097 \tabularnewline
0.58 & 324607.678272537 & 5578.84164542465 \tabularnewline
0.59 & 325555.33121746 & 5630.97563895611 \tabularnewline
0.6 & 326511.230441958 & 5640.10200293848 \tabularnewline
0.61 & 327468.676539186 & 5606.04706482275 \tabularnewline
0.62 & 328421.225479168 & 5532.2608707347 \tabularnewline
0.63 & 329363.028579279 & 5423.08613386684 \tabularnewline
0.64 & 330289.145389051 & 5284.02386199599 \tabularnewline
0.65 & 331195.821025163 & 5122.82580618663 \tabularnewline
0.66 & 332080.717935652 & 4947.99201214464 \tabularnewline
0.67 & 332943.090055453 & 4769.1150611402 \tabularnewline
0.68 & 333783.886140268 & 4596.50662944151 \tabularnewline
0.69 & 334605.769885226 & 4440.18700984865 \tabularnewline
0.7 & 335413.04803322 & 4309.53625146449 \tabularnewline
0.71 & 336211.504420475 & 4212.70659053954 \tabularnewline
0.72 & 337008.147778748 & 4156.06258376948 \tabularnewline
0.73 & 337810.893699736 & 4142.36847665402 \tabularnewline
0.74 & 338628.215463556 & 4173.03437374307 \tabularnewline
0.75 & 339468.812520934 & 4245.17699395523 \tabularnewline
0.76 & 340341.356232784 & 4355.06634863692 \tabularnewline
0.77 & 341254.376008486 & 4496.95832181368 \tabularnewline
0.78 & 342216.341214295 & 4665.80303836186 \tabularnewline
0.79 & 343235.972613221 & 4857.75261804151 \tabularnewline
0.8 & 344322.782184602 & 5073.08926045271 \tabularnewline
0.81 & 345487.79623832 & 5315.45059365234 \tabularnewline
0.82 & 346744.370726398 & 5592.15732985542 \tabularnewline
0.83 & 348108.966149212 & 5914.21503721404 \tabularnewline
0.84 & 349601.714794194 & 6292.53802452028 \tabularnewline
0.85 & 351246.58087403 & 6737.4304698605 \tabularnewline
0.86 & 353070.875479357 & 7253.93740705526 \tabularnewline
0.87 & 355103.839223638 & 7839.50321070031 \tabularnewline
0.88 & 357373.966663749 & 8479.1538168723 \tabularnewline
0.89 & 359904.792631203 & 9141.92272086381 \tabularnewline
0.9 & 362709.153744436 & 9775.21506851938 \tabularnewline
0.91 & 365782.740907643 & 10302.4342348695 \tabularnewline
0.92 & 369099.341697732 & 10625.793991165 \tabularnewline
0.93 & 372612.41516635 & 10641.3324571491 \tabularnewline
0.94 & 376268.99658631 & 10274.2332828142 \tabularnewline
0.95 & 380037.764586762 & 9539.86880257065 \tabularnewline
0.96 & 383935.579756551 & 8633.35881673691 \tabularnewline
0.97 & 388003.352894218 & 8015.35308619291 \tabularnewline
0.98 & 392161.612304325 & 8266.30320876658 \tabularnewline
0.99 & 395957.343171053 & 9411.60015950405 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]261084.293591063[/C][C]1616.23153574112[/C][/ROW]
[ROW][C]0.02[/C][C]262180.541960533[/C][C]3241.36058067524[/C][/ROW]
[ROW][C]0.03[/C][C]263788.391173426[/C][C]4460.66760137771[/C][/ROW]
[ROW][C]0.04[/C][C]265708.909814952[/C][C]5046.7063186491[/C][/ROW]
[ROW][C]0.05[/C][C]267733.014327649[/C][C]5164.42851431884[/C][/ROW]
[ROW][C]0.06[/C][C]269718.934549889[/C][C]5115.46078240484[/C][/ROW]
[ROW][C]0.07[/C][C]271612.79045282[/C][C]5161.00596210362[/C][/ROW]
[ROW][C]0.08[/C][C]273428.901910043[/C][C]5437.29978452222[/C][/ROW]
[ROW][C]0.09[/C][C]275215.166959293[/C][C]5943.68684772064[/C][/ROW]
[ROW][C]0.1[/C][C]277021.644845317[/C][C]6584.15708739115[/C][/ROW]
[ROW][C]0.11[/C][C]278880.273909605[/C][C]7227.35056144557[/C][/ROW]
[ROW][C]0.12[/C][C]280796.606851948[/C][C]7750.99130645893[/C][/ROW]
[ROW][C]0.13[/C][C]282751.098945142[/C][C]8066.44760423824[/C][/ROW]
[ROW][C]0.14[/C][C]284706.428137806[/C][C]8130.16891355928[/C][/ROW]
[ROW][C]0.15[/C][C]286617.369238502[/C][C]7945.10416886001[/C][/ROW]
[ROW][C]0.16[/C][C]288440.336022435[/C][C]7551.42960218584[/C][/ROW]
[ROW][C]0.17[/C][C]290140.62296257[/C][C]7013.90015004387[/C][/ROW]
[ROW][C]0.18[/C][C]291696.434551688[/C][C]6403.57673639523[/C][/ROW]
[ROW][C]0.19[/C][C]293099.757633964[/C][C]5786.87075631503[/C][/ROW]
[ROW][C]0.2[/C][C]294354.810969787[/C][C]5216.3251189947[/C][/ROW]
[ROW][C]0.21[/C][C]295475.103050212[/C][C]4726.29169377454[/C][/ROW]
[ROW][C]0.22[/C][C]296480.078750616[/C][C]4335.72661455258[/C][/ROW]
[ROW][C]0.23[/C][C]297392.062660574[/C][C]4051.42353646508[/C][/ROW]
[ROW][C]0.24[/C][C]298233.862341988[/C][C]3870.61615485564[/C][/ROW]
[ROW][C]0.25[/C][C]299027.09888917[/C][C]3786.32850239077[/C][/ROW]
[ROW][C]0.26[/C][C]299791.148025497[/C][C]3787.97486889035[/C][/ROW]
[ROW][C]0.27[/C][C]300542.509102668[/C][C]3861.04409485878[/C][/ROW]
[ROW][C]0.28[/C][C]301294.440663016[/C][C]3989.27712554233[/C][/ROW]
[ROW][C]0.29[/C][C]302056.764606392[/C][C]4153.1519750833[/C][/ROW]
[ROW][C]0.3[/C][C]302835.806405367[/C][C]4332.91748579035[/C][/ROW]
[ROW][C]0.31[/C][C]303634.481386452[/C][C]4509.61628100717[/C][/ROW]
[ROW][C]0.32[/C][C]304452.54899948[/C][C]4665.79212309875[/C][/ROW]
[ROW][C]0.33[/C][C]305287.043520055[/C][C]4788.09717244433[/C][/ROW]
[ROW][C]0.34[/C][C]306132.862906296[/C][C]4866.95585769782[/C][/ROW]
[ROW][C]0.35[/C][C]306983.470498429[/C][C]4897.30945777336[/C][/ROW]
[ROW][C]0.36[/C][C]307831.64641666[/C][C]4878.78713307953[/C][/ROW]
[ROW][C]0.37[/C][C]308670.221083167[/C][C]4814.6734361178[/C][/ROW]
[ROW][C]0.38[/C][C]309492.731404393[/C][C]4712.02948198633[/C][/ROW]
[ROW][C]0.39[/C][C]310293.956514333[/C][C]4580.12878672588[/C][/ROW]
[ROW][C]0.4[/C][C]311070.309080679[/C][C]4429.4171183835[/C][/ROW]
[ROW][C]0.41[/C][C]311820.075230485[/C][C]4272.31131851272[/C][/ROW]
[ROW][C]0.42[/C][C]312543.508343894[/C][C]4120.8784020287[/C][/ROW]
[ROW][C]0.43[/C][C]313242.788765775[/C][C]3987.02380616071[/C][/ROW]
[ROW][C]0.44[/C][C]313921.864193588[/C][C]3881.15569239135[/C][/ROW]
[ROW][C]0.45[/C][C]314586.18631676[/C][C]3813.27864032654[/C][/ROW]
[ROW][C]0.46[/C][C]315242.360316906[/C][C]3790.46038561401[/C][/ROW]
[ROW][C]0.47[/C][C]315897.726356725[/C][C]3816.45134911784[/C][/ROW]
[ROW][C]0.48[/C][C]316559.896289928[/C][C]3891.58340564944[/C][/ROW]
[ROW][C]0.49[/C][C]317236.273562816[/C][C]4012.48313681315[/C][/ROW]
[ROW][C]0.5[/C][C]317933.588080523[/C][C]4172.21265341381[/C][/ROW]
[ROW][C]0.51[/C][C]318657.479067437[/C][C]4361.45938321929[/C][/ROW]
[ROW][C]0.52[/C][C]319412.156547531[/C][C]4569.22564041757[/C][/ROW]
[ROW][C]0.53[/C][C]320200.16574161[/C][C]4783.41427662943[/C][/ROW]
[ROW][C]0.54[/C][C]321022.269109365[/C][C]4992.00299232396[/C][/ROW]
[ROW][C]0.55[/C][C]321877.449430136[/C][C]5184.21473747714[/C][/ROW]
[ROW][C]0.56[/C][C]322763.026121207[/C][C]5351.00062515326[/C][/ROW]
[ROW][C]0.57[/C][C]323674.867799995[/C][C]5484.31368047097[/C][/ROW]
[ROW][C]0.58[/C][C]324607.678272537[/C][C]5578.84164542465[/C][/ROW]
[ROW][C]0.59[/C][C]325555.33121746[/C][C]5630.97563895611[/C][/ROW]
[ROW][C]0.6[/C][C]326511.230441958[/C][C]5640.10200293848[/C][/ROW]
[ROW][C]0.61[/C][C]327468.676539186[/C][C]5606.04706482275[/C][/ROW]
[ROW][C]0.62[/C][C]328421.225479168[/C][C]5532.2608707347[/C][/ROW]
[ROW][C]0.63[/C][C]329363.028579279[/C][C]5423.08613386684[/C][/ROW]
[ROW][C]0.64[/C][C]330289.145389051[/C][C]5284.02386199599[/C][/ROW]
[ROW][C]0.65[/C][C]331195.821025163[/C][C]5122.82580618663[/C][/ROW]
[ROW][C]0.66[/C][C]332080.717935652[/C][C]4947.99201214464[/C][/ROW]
[ROW][C]0.67[/C][C]332943.090055453[/C][C]4769.1150611402[/C][/ROW]
[ROW][C]0.68[/C][C]333783.886140268[/C][C]4596.50662944151[/C][/ROW]
[ROW][C]0.69[/C][C]334605.769885226[/C][C]4440.18700984865[/C][/ROW]
[ROW][C]0.7[/C][C]335413.04803322[/C][C]4309.53625146449[/C][/ROW]
[ROW][C]0.71[/C][C]336211.504420475[/C][C]4212.70659053954[/C][/ROW]
[ROW][C]0.72[/C][C]337008.147778748[/C][C]4156.06258376948[/C][/ROW]
[ROW][C]0.73[/C][C]337810.893699736[/C][C]4142.36847665402[/C][/ROW]
[ROW][C]0.74[/C][C]338628.215463556[/C][C]4173.03437374307[/C][/ROW]
[ROW][C]0.75[/C][C]339468.812520934[/C][C]4245.17699395523[/C][/ROW]
[ROW][C]0.76[/C][C]340341.356232784[/C][C]4355.06634863692[/C][/ROW]
[ROW][C]0.77[/C][C]341254.376008486[/C][C]4496.95832181368[/C][/ROW]
[ROW][C]0.78[/C][C]342216.341214295[/C][C]4665.80303836186[/C][/ROW]
[ROW][C]0.79[/C][C]343235.972613221[/C][C]4857.75261804151[/C][/ROW]
[ROW][C]0.8[/C][C]344322.782184602[/C][C]5073.08926045271[/C][/ROW]
[ROW][C]0.81[/C][C]345487.79623832[/C][C]5315.45059365234[/C][/ROW]
[ROW][C]0.82[/C][C]346744.370726398[/C][C]5592.15732985542[/C][/ROW]
[ROW][C]0.83[/C][C]348108.966149212[/C][C]5914.21503721404[/C][/ROW]
[ROW][C]0.84[/C][C]349601.714794194[/C][C]6292.53802452028[/C][/ROW]
[ROW][C]0.85[/C][C]351246.58087403[/C][C]6737.4304698605[/C][/ROW]
[ROW][C]0.86[/C][C]353070.875479357[/C][C]7253.93740705526[/C][/ROW]
[ROW][C]0.87[/C][C]355103.839223638[/C][C]7839.50321070031[/C][/ROW]
[ROW][C]0.88[/C][C]357373.966663749[/C][C]8479.1538168723[/C][/ROW]
[ROW][C]0.89[/C][C]359904.792631203[/C][C]9141.92272086381[/C][/ROW]
[ROW][C]0.9[/C][C]362709.153744436[/C][C]9775.21506851938[/C][/ROW]
[ROW][C]0.91[/C][C]365782.740907643[/C][C]10302.4342348695[/C][/ROW]
[ROW][C]0.92[/C][C]369099.341697732[/C][C]10625.793991165[/C][/ROW]
[ROW][C]0.93[/C][C]372612.41516635[/C][C]10641.3324571491[/C][/ROW]
[ROW][C]0.94[/C][C]376268.99658631[/C][C]10274.2332828142[/C][/ROW]
[ROW][C]0.95[/C][C]380037.764586762[/C][C]9539.86880257065[/C][/ROW]
[ROW][C]0.96[/C][C]383935.579756551[/C][C]8633.35881673691[/C][/ROW]
[ROW][C]0.97[/C][C]388003.352894218[/C][C]8015.35308619291[/C][/ROW]
[ROW][C]0.98[/C][C]392161.612304325[/C][C]8266.30320876658[/C][/ROW]
[ROW][C]0.99[/C][C]395957.343171053[/C][C]9411.60015950405[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01261084.2935910631616.23153574112
0.02262180.5419605333241.36058067524
0.03263788.3911734264460.66760137771
0.04265708.9098149525046.7063186491
0.05267733.0143276495164.42851431884
0.06269718.9345498895115.46078240484
0.07271612.790452825161.00596210362
0.08273428.9019100435437.29978452222
0.09275215.1669592935943.68684772064
0.1277021.6448453176584.15708739115
0.11278880.2739096057227.35056144557
0.12280796.6068519487750.99130645893
0.13282751.0989451428066.44760423824
0.14284706.4281378068130.16891355928
0.15286617.3692385027945.10416886001
0.16288440.3360224357551.42960218584
0.17290140.622962577013.90015004387
0.18291696.4345516886403.57673639523
0.19293099.7576339645786.87075631503
0.2294354.8109697875216.3251189947
0.21295475.1030502124726.29169377454
0.22296480.0787506164335.72661455258
0.23297392.0626605744051.42353646508
0.24298233.8623419883870.61615485564
0.25299027.098889173786.32850239077
0.26299791.1480254973787.97486889035
0.27300542.5091026683861.04409485878
0.28301294.4406630163989.27712554233
0.29302056.7646063924153.1519750833
0.3302835.8064053674332.91748579035
0.31303634.4813864524509.61628100717
0.32304452.548999484665.79212309875
0.33305287.0435200554788.09717244433
0.34306132.8629062964866.95585769782
0.35306983.4704984294897.30945777336
0.36307831.646416664878.78713307953
0.37308670.2210831674814.6734361178
0.38309492.7314043934712.02948198633
0.39310293.9565143334580.12878672588
0.4311070.3090806794429.4171183835
0.41311820.0752304854272.31131851272
0.42312543.5083438944120.8784020287
0.43313242.7887657753987.02380616071
0.44313921.8641935883881.15569239135
0.45314586.186316763813.27864032654
0.46315242.3603169063790.46038561401
0.47315897.7263567253816.45134911784
0.48316559.8962899283891.58340564944
0.49317236.2735628164012.48313681315
0.5317933.5880805234172.21265341381
0.51318657.4790674374361.45938321929
0.52319412.1565475314569.22564041757
0.53320200.165741614783.41427662943
0.54321022.2691093654992.00299232396
0.55321877.4494301365184.21473747714
0.56322763.0261212075351.00062515326
0.57323674.8677999955484.31368047097
0.58324607.6782725375578.84164542465
0.59325555.331217465630.97563895611
0.6326511.2304419585640.10200293848
0.61327468.6765391865606.04706482275
0.62328421.2254791685532.2608707347
0.63329363.0285792795423.08613386684
0.64330289.1453890515284.02386199599
0.65331195.8210251635122.82580618663
0.66332080.7179356524947.99201214464
0.67332943.0900554534769.1150611402
0.68333783.8861402684596.50662944151
0.69334605.7698852264440.18700984865
0.7335413.048033224309.53625146449
0.71336211.5044204754212.70659053954
0.72337008.1477787484156.06258376948
0.73337810.8936997364142.36847665402
0.74338628.2154635564173.03437374307
0.75339468.8125209344245.17699395523
0.76340341.3562327844355.06634863692
0.77341254.3760084864496.95832181368
0.78342216.3412142954665.80303836186
0.79343235.9726132214857.75261804151
0.8344322.7821846025073.08926045271
0.81345487.796238325315.45059365234
0.82346744.3707263985592.15732985542
0.83348108.9661492125914.21503721404
0.84349601.7147941946292.53802452028
0.85351246.580874036737.4304698605
0.86353070.8754793577253.93740705526
0.87355103.8392236387839.50321070031
0.88357373.9666637498479.1538168723
0.89359904.7926312039141.92272086381
0.9362709.1537444369775.21506851938
0.91365782.74090764310302.4342348695
0.92369099.34169773210625.793991165
0.93372612.4151663510641.3324571491
0.94376268.9965863110274.2332828142
0.95380037.7645867629539.86880257065
0.96383935.5797565518633.35881673691
0.97388003.3528942188015.35308619291
0.98392161.6123043258266.30320876658
0.99395957.3431710539411.60015950405



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):
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')