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 14:55:14 +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/t1475762168ouz1goyzgazfbxh.htm/, Retrieved Sat, 04 May 2024 16:53:45 +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 16:53:45 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0
Dataseries X:
18347.7
19372.7
22263.8
19422.9
21268.6
20310
19256
17535.9
19857.4
19628.4
19727.5
18112.2
18889.3
20516.1
22317
19768.8
20015.8
20260.5
19434.3
17910
19134.4
20880.1
19680
17493.4
19155.9
19151
21318.2
20601.3
20496.8
19834.4
20997.6
17111.1
20752.3
21600.7
19939.5
18854.1
19697.4
19865
20930.3
20873.8
20007.5
20584.9
20604.1
16956.2
21731.2
21784.8
19280.6
17912.3
17904.8
19507.1
21188.7
20405.9
19214.4
21839.1
20030.6
16596.6
19996.3
20776.6
19003.1
18620.8




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
0.0116684.9269872465324.144169111771
0.0216820.5570723906300.566943864491
0.0316971.7198934065300.419979774468
0.0417119.8673946112314.031533077313
0.0517258.7515264899325.55090897881
0.0617387.5986413616328.638752286901
0.0717506.972213192325.019141907471
0.0817617.7183773365319.454225178343
0.0917721.091883755316.736855376298
0.117818.8541542274320.354487326464
0.1117913.0659697832331.5074930746
0.1218005.7045422547349.037678576209
0.1318098.2857550202369.688166992864
0.1418191.6100763358389.423982627952
0.1518285.6811293137404.458577081384
0.1618379.7910310328412.09801454263
0.1718472.7281766026410.968083599452
0.1818563.0435647465401.134350597318
0.1918649.3119774495383.719800653161
0.218730.3401465455360.57698097668
0.2118805.2973046689333.834713132612
0.2218873.765853137305.664130403458
0.2318935.7257418598277.929344076912
0.2418991.4937674949252.151941402246
0.2519041.6395340871229.43981163269
0.2619086.8959042125210.390125201696
0.2719128.0760964985195.36027746802
0.2819166.0041346653184.337154836313
0.2919201.4611545989177.014767355008
0.319235.1473726392172.884408300529
0.3119267.658082153171.373686756386
0.3219299.4714775795171.822144774153
0.3319330.9460337407173.532494100571
0.3419362.3253321669175.906106090561
0.3519393.7484757498178.43241095257
0.3619425.2644934221180.679657544891
0.3719456.8493705867182.324415141001
0.3819488.4245285366183.072801952513
0.3919519.8757104304182.85176924887
0.419551.0713231217181.631131618072
0.4119581.8793620265179.439389099151
0.4219612.1821492408176.441626621319
0.4319641.8882775088172.865102041335
0.4419670.9413875567168.951261267075
0.4519699.3256959423164.969740868518
0.4619727.068487388161.246739876108
0.4719754.2400250188158.027363959518
0.4819780.9514530688155.524016468396
0.4919807.3512335283154.008815393928
0.519833.6204756725153.623751843232
0.5119859.9672355484154.540670718116
0.5219886.6195682951156.850608810734
0.5319913.8169136507160.647490309709
0.5419941.7993781229165.907346774041
0.5519970.7947022453172.524039955099
0.5620001.0031649452180.307668880666
0.5720032.581307776188.911877995194
0.5820065.6260271128197.884962529844
0.5920100.1611131554206.706208040579
0.620136.1285422778214.80929928307
0.6120173.3866289004221.645408713506
0.6220211.7164711084226.729614852962
0.6320250.8370413186229.660937687565
0.6420290.4279444607230.297810790344
0.6520330.1575360191228.648370074069
0.6620369.7130388571224.932437687593
0.6720408.8287734451219.551988414036
0.6820447.3087881164213.034707448813
0.6920485.0410783431205.993409901488
0.720522.0020924244199.003662377059
0.7120558.2520582102192.58664387001
0.7220593.9234419088187.132159569104
0.7320629.2061383377182.85702065229
0.7420664.3334285695179.832781234379
0.7520699.5721362513178.076658743206
0.7620735.2188426156177.58066097376
0.7720771.6018529154178.399455026981
0.7820809.0864466848180.621474813276
0.7920848.0794515112184.451123630396
0.820889.0288170526190.052518206501
0.8120932.4146511318197.511504755071
0.8220978.7296011958206.716305918362
0.8321028.4477051152217.35772577784
0.8421081.981362805228.947110988711
0.8521139.6264383477240.804567454363
0.8621201.4978429459252.068582239519
0.8721267.4655971628261.637200207825
0.8821337.1167208087268.18394089009
0.8921409.7888031386270.24453655185
0.921484.7342806714266.714161094912
0.9121561.4549900847257.607087487274
0.9221640.1620184202245.04258930288
0.9321722.1503122379234.003297999909
0.9421809.6785031045231.207430045162
0.9521904.8741561266239.747033942886
0.9622007.5051817029251.055424772844
0.9722112.3448116074244.236979953528
0.9822208.0317070765198.930634862704
0.9922279.8058660392118.983309888969

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 16684.9269872465 & 324.144169111771 \tabularnewline
0.02 & 16820.5570723906 & 300.566943864491 \tabularnewline
0.03 & 16971.7198934065 & 300.419979774468 \tabularnewline
0.04 & 17119.8673946112 & 314.031533077313 \tabularnewline
0.05 & 17258.7515264899 & 325.55090897881 \tabularnewline
0.06 & 17387.5986413616 & 328.638752286901 \tabularnewline
0.07 & 17506.972213192 & 325.019141907471 \tabularnewline
0.08 & 17617.7183773365 & 319.454225178343 \tabularnewline
0.09 & 17721.091883755 & 316.736855376298 \tabularnewline
0.1 & 17818.8541542274 & 320.354487326464 \tabularnewline
0.11 & 17913.0659697832 & 331.5074930746 \tabularnewline
0.12 & 18005.7045422547 & 349.037678576209 \tabularnewline
0.13 & 18098.2857550202 & 369.688166992864 \tabularnewline
0.14 & 18191.6100763358 & 389.423982627952 \tabularnewline
0.15 & 18285.6811293137 & 404.458577081384 \tabularnewline
0.16 & 18379.7910310328 & 412.09801454263 \tabularnewline
0.17 & 18472.7281766026 & 410.968083599452 \tabularnewline
0.18 & 18563.0435647465 & 401.134350597318 \tabularnewline
0.19 & 18649.3119774495 & 383.719800653161 \tabularnewline
0.2 & 18730.3401465455 & 360.57698097668 \tabularnewline
0.21 & 18805.2973046689 & 333.834713132612 \tabularnewline
0.22 & 18873.765853137 & 305.664130403458 \tabularnewline
0.23 & 18935.7257418598 & 277.929344076912 \tabularnewline
0.24 & 18991.4937674949 & 252.151941402246 \tabularnewline
0.25 & 19041.6395340871 & 229.43981163269 \tabularnewline
0.26 & 19086.8959042125 & 210.390125201696 \tabularnewline
0.27 & 19128.0760964985 & 195.36027746802 \tabularnewline
0.28 & 19166.0041346653 & 184.337154836313 \tabularnewline
0.29 & 19201.4611545989 & 177.014767355008 \tabularnewline
0.3 & 19235.1473726392 & 172.884408300529 \tabularnewline
0.31 & 19267.658082153 & 171.373686756386 \tabularnewline
0.32 & 19299.4714775795 & 171.822144774153 \tabularnewline
0.33 & 19330.9460337407 & 173.532494100571 \tabularnewline
0.34 & 19362.3253321669 & 175.906106090561 \tabularnewline
0.35 & 19393.7484757498 & 178.43241095257 \tabularnewline
0.36 & 19425.2644934221 & 180.679657544891 \tabularnewline
0.37 & 19456.8493705867 & 182.324415141001 \tabularnewline
0.38 & 19488.4245285366 & 183.072801952513 \tabularnewline
0.39 & 19519.8757104304 & 182.85176924887 \tabularnewline
0.4 & 19551.0713231217 & 181.631131618072 \tabularnewline
0.41 & 19581.8793620265 & 179.439389099151 \tabularnewline
0.42 & 19612.1821492408 & 176.441626621319 \tabularnewline
0.43 & 19641.8882775088 & 172.865102041335 \tabularnewline
0.44 & 19670.9413875567 & 168.951261267075 \tabularnewline
0.45 & 19699.3256959423 & 164.969740868518 \tabularnewline
0.46 & 19727.068487388 & 161.246739876108 \tabularnewline
0.47 & 19754.2400250188 & 158.027363959518 \tabularnewline
0.48 & 19780.9514530688 & 155.524016468396 \tabularnewline
0.49 & 19807.3512335283 & 154.008815393928 \tabularnewline
0.5 & 19833.6204756725 & 153.623751843232 \tabularnewline
0.51 & 19859.9672355484 & 154.540670718116 \tabularnewline
0.52 & 19886.6195682951 & 156.850608810734 \tabularnewline
0.53 & 19913.8169136507 & 160.647490309709 \tabularnewline
0.54 & 19941.7993781229 & 165.907346774041 \tabularnewline
0.55 & 19970.7947022453 & 172.524039955099 \tabularnewline
0.56 & 20001.0031649452 & 180.307668880666 \tabularnewline
0.57 & 20032.581307776 & 188.911877995194 \tabularnewline
0.58 & 20065.6260271128 & 197.884962529844 \tabularnewline
0.59 & 20100.1611131554 & 206.706208040579 \tabularnewline
0.6 & 20136.1285422778 & 214.80929928307 \tabularnewline
0.61 & 20173.3866289004 & 221.645408713506 \tabularnewline
0.62 & 20211.7164711084 & 226.729614852962 \tabularnewline
0.63 & 20250.8370413186 & 229.660937687565 \tabularnewline
0.64 & 20290.4279444607 & 230.297810790344 \tabularnewline
0.65 & 20330.1575360191 & 228.648370074069 \tabularnewline
0.66 & 20369.7130388571 & 224.932437687593 \tabularnewline
0.67 & 20408.8287734451 & 219.551988414036 \tabularnewline
0.68 & 20447.3087881164 & 213.034707448813 \tabularnewline
0.69 & 20485.0410783431 & 205.993409901488 \tabularnewline
0.7 & 20522.0020924244 & 199.003662377059 \tabularnewline
0.71 & 20558.2520582102 & 192.58664387001 \tabularnewline
0.72 & 20593.9234419088 & 187.132159569104 \tabularnewline
0.73 & 20629.2061383377 & 182.85702065229 \tabularnewline
0.74 & 20664.3334285695 & 179.832781234379 \tabularnewline
0.75 & 20699.5721362513 & 178.076658743206 \tabularnewline
0.76 & 20735.2188426156 & 177.58066097376 \tabularnewline
0.77 & 20771.6018529154 & 178.399455026981 \tabularnewline
0.78 & 20809.0864466848 & 180.621474813276 \tabularnewline
0.79 & 20848.0794515112 & 184.451123630396 \tabularnewline
0.8 & 20889.0288170526 & 190.052518206501 \tabularnewline
0.81 & 20932.4146511318 & 197.511504755071 \tabularnewline
0.82 & 20978.7296011958 & 206.716305918362 \tabularnewline
0.83 & 21028.4477051152 & 217.35772577784 \tabularnewline
0.84 & 21081.981362805 & 228.947110988711 \tabularnewline
0.85 & 21139.6264383477 & 240.804567454363 \tabularnewline
0.86 & 21201.4978429459 & 252.068582239519 \tabularnewline
0.87 & 21267.4655971628 & 261.637200207825 \tabularnewline
0.88 & 21337.1167208087 & 268.18394089009 \tabularnewline
0.89 & 21409.7888031386 & 270.24453655185 \tabularnewline
0.9 & 21484.7342806714 & 266.714161094912 \tabularnewline
0.91 & 21561.4549900847 & 257.607087487274 \tabularnewline
0.92 & 21640.1620184202 & 245.04258930288 \tabularnewline
0.93 & 21722.1503122379 & 234.003297999909 \tabularnewline
0.94 & 21809.6785031045 & 231.207430045162 \tabularnewline
0.95 & 21904.8741561266 & 239.747033942886 \tabularnewline
0.96 & 22007.5051817029 & 251.055424772844 \tabularnewline
0.97 & 22112.3448116074 & 244.236979953528 \tabularnewline
0.98 & 22208.0317070765 & 198.930634862704 \tabularnewline
0.99 & 22279.8058660392 & 118.983309888969 \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]16684.9269872465[/C][C]324.144169111771[/C][/ROW]
[ROW][C]0.02[/C][C]16820.5570723906[/C][C]300.566943864491[/C][/ROW]
[ROW][C]0.03[/C][C]16971.7198934065[/C][C]300.419979774468[/C][/ROW]
[ROW][C]0.04[/C][C]17119.8673946112[/C][C]314.031533077313[/C][/ROW]
[ROW][C]0.05[/C][C]17258.7515264899[/C][C]325.55090897881[/C][/ROW]
[ROW][C]0.06[/C][C]17387.5986413616[/C][C]328.638752286901[/C][/ROW]
[ROW][C]0.07[/C][C]17506.972213192[/C][C]325.019141907471[/C][/ROW]
[ROW][C]0.08[/C][C]17617.7183773365[/C][C]319.454225178343[/C][/ROW]
[ROW][C]0.09[/C][C]17721.091883755[/C][C]316.736855376298[/C][/ROW]
[ROW][C]0.1[/C][C]17818.8541542274[/C][C]320.354487326464[/C][/ROW]
[ROW][C]0.11[/C][C]17913.0659697832[/C][C]331.5074930746[/C][/ROW]
[ROW][C]0.12[/C][C]18005.7045422547[/C][C]349.037678576209[/C][/ROW]
[ROW][C]0.13[/C][C]18098.2857550202[/C][C]369.688166992864[/C][/ROW]
[ROW][C]0.14[/C][C]18191.6100763358[/C][C]389.423982627952[/C][/ROW]
[ROW][C]0.15[/C][C]18285.6811293137[/C][C]404.458577081384[/C][/ROW]
[ROW][C]0.16[/C][C]18379.7910310328[/C][C]412.09801454263[/C][/ROW]
[ROW][C]0.17[/C][C]18472.7281766026[/C][C]410.968083599452[/C][/ROW]
[ROW][C]0.18[/C][C]18563.0435647465[/C][C]401.134350597318[/C][/ROW]
[ROW][C]0.19[/C][C]18649.3119774495[/C][C]383.719800653161[/C][/ROW]
[ROW][C]0.2[/C][C]18730.3401465455[/C][C]360.57698097668[/C][/ROW]
[ROW][C]0.21[/C][C]18805.2973046689[/C][C]333.834713132612[/C][/ROW]
[ROW][C]0.22[/C][C]18873.765853137[/C][C]305.664130403458[/C][/ROW]
[ROW][C]0.23[/C][C]18935.7257418598[/C][C]277.929344076912[/C][/ROW]
[ROW][C]0.24[/C][C]18991.4937674949[/C][C]252.151941402246[/C][/ROW]
[ROW][C]0.25[/C][C]19041.6395340871[/C][C]229.43981163269[/C][/ROW]
[ROW][C]0.26[/C][C]19086.8959042125[/C][C]210.390125201696[/C][/ROW]
[ROW][C]0.27[/C][C]19128.0760964985[/C][C]195.36027746802[/C][/ROW]
[ROW][C]0.28[/C][C]19166.0041346653[/C][C]184.337154836313[/C][/ROW]
[ROW][C]0.29[/C][C]19201.4611545989[/C][C]177.014767355008[/C][/ROW]
[ROW][C]0.3[/C][C]19235.1473726392[/C][C]172.884408300529[/C][/ROW]
[ROW][C]0.31[/C][C]19267.658082153[/C][C]171.373686756386[/C][/ROW]
[ROW][C]0.32[/C][C]19299.4714775795[/C][C]171.822144774153[/C][/ROW]
[ROW][C]0.33[/C][C]19330.9460337407[/C][C]173.532494100571[/C][/ROW]
[ROW][C]0.34[/C][C]19362.3253321669[/C][C]175.906106090561[/C][/ROW]
[ROW][C]0.35[/C][C]19393.7484757498[/C][C]178.43241095257[/C][/ROW]
[ROW][C]0.36[/C][C]19425.2644934221[/C][C]180.679657544891[/C][/ROW]
[ROW][C]0.37[/C][C]19456.8493705867[/C][C]182.324415141001[/C][/ROW]
[ROW][C]0.38[/C][C]19488.4245285366[/C][C]183.072801952513[/C][/ROW]
[ROW][C]0.39[/C][C]19519.8757104304[/C][C]182.85176924887[/C][/ROW]
[ROW][C]0.4[/C][C]19551.0713231217[/C][C]181.631131618072[/C][/ROW]
[ROW][C]0.41[/C][C]19581.8793620265[/C][C]179.439389099151[/C][/ROW]
[ROW][C]0.42[/C][C]19612.1821492408[/C][C]176.441626621319[/C][/ROW]
[ROW][C]0.43[/C][C]19641.8882775088[/C][C]172.865102041335[/C][/ROW]
[ROW][C]0.44[/C][C]19670.9413875567[/C][C]168.951261267075[/C][/ROW]
[ROW][C]0.45[/C][C]19699.3256959423[/C][C]164.969740868518[/C][/ROW]
[ROW][C]0.46[/C][C]19727.068487388[/C][C]161.246739876108[/C][/ROW]
[ROW][C]0.47[/C][C]19754.2400250188[/C][C]158.027363959518[/C][/ROW]
[ROW][C]0.48[/C][C]19780.9514530688[/C][C]155.524016468396[/C][/ROW]
[ROW][C]0.49[/C][C]19807.3512335283[/C][C]154.008815393928[/C][/ROW]
[ROW][C]0.5[/C][C]19833.6204756725[/C][C]153.623751843232[/C][/ROW]
[ROW][C]0.51[/C][C]19859.9672355484[/C][C]154.540670718116[/C][/ROW]
[ROW][C]0.52[/C][C]19886.6195682951[/C][C]156.850608810734[/C][/ROW]
[ROW][C]0.53[/C][C]19913.8169136507[/C][C]160.647490309709[/C][/ROW]
[ROW][C]0.54[/C][C]19941.7993781229[/C][C]165.907346774041[/C][/ROW]
[ROW][C]0.55[/C][C]19970.7947022453[/C][C]172.524039955099[/C][/ROW]
[ROW][C]0.56[/C][C]20001.0031649452[/C][C]180.307668880666[/C][/ROW]
[ROW][C]0.57[/C][C]20032.581307776[/C][C]188.911877995194[/C][/ROW]
[ROW][C]0.58[/C][C]20065.6260271128[/C][C]197.884962529844[/C][/ROW]
[ROW][C]0.59[/C][C]20100.1611131554[/C][C]206.706208040579[/C][/ROW]
[ROW][C]0.6[/C][C]20136.1285422778[/C][C]214.80929928307[/C][/ROW]
[ROW][C]0.61[/C][C]20173.3866289004[/C][C]221.645408713506[/C][/ROW]
[ROW][C]0.62[/C][C]20211.7164711084[/C][C]226.729614852962[/C][/ROW]
[ROW][C]0.63[/C][C]20250.8370413186[/C][C]229.660937687565[/C][/ROW]
[ROW][C]0.64[/C][C]20290.4279444607[/C][C]230.297810790344[/C][/ROW]
[ROW][C]0.65[/C][C]20330.1575360191[/C][C]228.648370074069[/C][/ROW]
[ROW][C]0.66[/C][C]20369.7130388571[/C][C]224.932437687593[/C][/ROW]
[ROW][C]0.67[/C][C]20408.8287734451[/C][C]219.551988414036[/C][/ROW]
[ROW][C]0.68[/C][C]20447.3087881164[/C][C]213.034707448813[/C][/ROW]
[ROW][C]0.69[/C][C]20485.0410783431[/C][C]205.993409901488[/C][/ROW]
[ROW][C]0.7[/C][C]20522.0020924244[/C][C]199.003662377059[/C][/ROW]
[ROW][C]0.71[/C][C]20558.2520582102[/C][C]192.58664387001[/C][/ROW]
[ROW][C]0.72[/C][C]20593.9234419088[/C][C]187.132159569104[/C][/ROW]
[ROW][C]0.73[/C][C]20629.2061383377[/C][C]182.85702065229[/C][/ROW]
[ROW][C]0.74[/C][C]20664.3334285695[/C][C]179.832781234379[/C][/ROW]
[ROW][C]0.75[/C][C]20699.5721362513[/C][C]178.076658743206[/C][/ROW]
[ROW][C]0.76[/C][C]20735.2188426156[/C][C]177.58066097376[/C][/ROW]
[ROW][C]0.77[/C][C]20771.6018529154[/C][C]178.399455026981[/C][/ROW]
[ROW][C]0.78[/C][C]20809.0864466848[/C][C]180.621474813276[/C][/ROW]
[ROW][C]0.79[/C][C]20848.0794515112[/C][C]184.451123630396[/C][/ROW]
[ROW][C]0.8[/C][C]20889.0288170526[/C][C]190.052518206501[/C][/ROW]
[ROW][C]0.81[/C][C]20932.4146511318[/C][C]197.511504755071[/C][/ROW]
[ROW][C]0.82[/C][C]20978.7296011958[/C][C]206.716305918362[/C][/ROW]
[ROW][C]0.83[/C][C]21028.4477051152[/C][C]217.35772577784[/C][/ROW]
[ROW][C]0.84[/C][C]21081.981362805[/C][C]228.947110988711[/C][/ROW]
[ROW][C]0.85[/C][C]21139.6264383477[/C][C]240.804567454363[/C][/ROW]
[ROW][C]0.86[/C][C]21201.4978429459[/C][C]252.068582239519[/C][/ROW]
[ROW][C]0.87[/C][C]21267.4655971628[/C][C]261.637200207825[/C][/ROW]
[ROW][C]0.88[/C][C]21337.1167208087[/C][C]268.18394089009[/C][/ROW]
[ROW][C]0.89[/C][C]21409.7888031386[/C][C]270.24453655185[/C][/ROW]
[ROW][C]0.9[/C][C]21484.7342806714[/C][C]266.714161094912[/C][/ROW]
[ROW][C]0.91[/C][C]21561.4549900847[/C][C]257.607087487274[/C][/ROW]
[ROW][C]0.92[/C][C]21640.1620184202[/C][C]245.04258930288[/C][/ROW]
[ROW][C]0.93[/C][C]21722.1503122379[/C][C]234.003297999909[/C][/ROW]
[ROW][C]0.94[/C][C]21809.6785031045[/C][C]231.207430045162[/C][/ROW]
[ROW][C]0.95[/C][C]21904.8741561266[/C][C]239.747033942886[/C][/ROW]
[ROW][C]0.96[/C][C]22007.5051817029[/C][C]251.055424772844[/C][/ROW]
[ROW][C]0.97[/C][C]22112.3448116074[/C][C]244.236979953528[/C][/ROW]
[ROW][C]0.98[/C][C]22208.0317070765[/C][C]198.930634862704[/C][/ROW]
[ROW][C]0.99[/C][C]22279.8058660392[/C][C]118.983309888969[/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
0.0116684.9269872465324.144169111771
0.0216820.5570723906300.566943864491
0.0316971.7198934065300.419979774468
0.0417119.8673946112314.031533077313
0.0517258.7515264899325.55090897881
0.0617387.5986413616328.638752286901
0.0717506.972213192325.019141907471
0.0817617.7183773365319.454225178343
0.0917721.091883755316.736855376298
0.117818.8541542274320.354487326464
0.1117913.0659697832331.5074930746
0.1218005.7045422547349.037678576209
0.1318098.2857550202369.688166992864
0.1418191.6100763358389.423982627952
0.1518285.6811293137404.458577081384
0.1618379.7910310328412.09801454263
0.1718472.7281766026410.968083599452
0.1818563.0435647465401.134350597318
0.1918649.3119774495383.719800653161
0.218730.3401465455360.57698097668
0.2118805.2973046689333.834713132612
0.2218873.765853137305.664130403458
0.2318935.7257418598277.929344076912
0.2418991.4937674949252.151941402246
0.2519041.6395340871229.43981163269
0.2619086.8959042125210.390125201696
0.2719128.0760964985195.36027746802
0.2819166.0041346653184.337154836313
0.2919201.4611545989177.014767355008
0.319235.1473726392172.884408300529
0.3119267.658082153171.373686756386
0.3219299.4714775795171.822144774153
0.3319330.9460337407173.532494100571
0.3419362.3253321669175.906106090561
0.3519393.7484757498178.43241095257
0.3619425.2644934221180.679657544891
0.3719456.8493705867182.324415141001
0.3819488.4245285366183.072801952513
0.3919519.8757104304182.85176924887
0.419551.0713231217181.631131618072
0.4119581.8793620265179.439389099151
0.4219612.1821492408176.441626621319
0.4319641.8882775088172.865102041335
0.4419670.9413875567168.951261267075
0.4519699.3256959423164.969740868518
0.4619727.068487388161.246739876108
0.4719754.2400250188158.027363959518
0.4819780.9514530688155.524016468396
0.4919807.3512335283154.008815393928
0.519833.6204756725153.623751843232
0.5119859.9672355484154.540670718116
0.5219886.6195682951156.850608810734
0.5319913.8169136507160.647490309709
0.5419941.7993781229165.907346774041
0.5519970.7947022453172.524039955099
0.5620001.0031649452180.307668880666
0.5720032.581307776188.911877995194
0.5820065.6260271128197.884962529844
0.5920100.1611131554206.706208040579
0.620136.1285422778214.80929928307
0.6120173.3866289004221.645408713506
0.6220211.7164711084226.729614852962
0.6320250.8370413186229.660937687565
0.6420290.4279444607230.297810790344
0.6520330.1575360191228.648370074069
0.6620369.7130388571224.932437687593
0.6720408.8287734451219.551988414036
0.6820447.3087881164213.034707448813
0.6920485.0410783431205.993409901488
0.720522.0020924244199.003662377059
0.7120558.2520582102192.58664387001
0.7220593.9234419088187.132159569104
0.7320629.2061383377182.85702065229
0.7420664.3334285695179.832781234379
0.7520699.5721362513178.076658743206
0.7620735.2188426156177.58066097376
0.7720771.6018529154178.399455026981
0.7820809.0864466848180.621474813276
0.7920848.0794515112184.451123630396
0.820889.0288170526190.052518206501
0.8120932.4146511318197.511504755071
0.8220978.7296011958206.716305918362
0.8321028.4477051152217.35772577784
0.8421081.981362805228.947110988711
0.8521139.6264383477240.804567454363
0.8621201.4978429459252.068582239519
0.8721267.4655971628261.637200207825
0.8821337.1167208087268.18394089009
0.8921409.7888031386270.24453655185
0.921484.7342806714266.714161094912
0.9121561.4549900847257.607087487274
0.9221640.1620184202245.04258930288
0.9321722.1503122379234.003297999909
0.9421809.6785031045231.207430045162
0.9521904.8741561266239.747033942886
0.9622007.5051817029251.055424772844
0.9722112.3448116074244.236979953528
0.9822208.0317070765198.930634862704
0.9922279.8058660392118.983309888969



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 <- '1.0'
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')