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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 13 Mar 2009 05:24:58 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/13/t1236943535owpasodozkyk9qm.htm/, Retrieved Mon, 08 Aug 2022 13:57:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39054, Retrieved Mon, 08 Aug 2022 13:57:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Brutoschuld van d...] [2009-03-13 09:53:03] [ef653b42671acc8de32235b938c43afe]
- RMP   [Histogram] [Brutoschuld van d...] [2009-03-13 10:13:11] [ef653b42671acc8de32235b938c43afe]
- RMP       [Harrell-Davis Quantiles] [Brutoschuld van d...] [2009-03-13 11:24:58] [2eea656d1ea82c4ced0e8e79cdac0617] [Current]
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Dataseries X:
321.935
310.215
309.030
305.333
294.735
289.351
288.225
289.648
290.155
288.301
289.148
289.741
287.595
285.226
287.816
283.519
290.304
282.166
280.041
282.500
279.913
277.793
281.229
275.363
273.547
270.601
273.338
271.917
273.985
273.911
270.798
271.115
271.344
274.525
276.663
273.784
274.027
269.160
270.491
270.846
270.333
272.599
272.764
270.674
268.175
268.351
272.482
268.714
269.419
265.518
264.101
267.179
271.322
270.157
271.296
269.907
271.244
266.844
270.911
269.829
269.285
263.018
266.680
265.814
268.457
269.508
270.223
264.676
265.521
262.971
266.003
267.722
266.433




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=39054&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=39054&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39054&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01263.0927340234740.346892266207182
0.02263.3661803278340.68762910407379
0.03263.7537794502680.879557305520671
0.04264.1852054883160.917176982437101
0.05264.6013942739230.866314314124583
0.06264.9717640900350.786811414582318
0.07265.2903497802790.715414319857505
0.08265.5652063280570.672356112938159
0.09265.8094114579630.662572072551941
0.1266.0356599939560.67954590442738
0.11266.2538008296140.71325264389146
0.12266.4702365351880.754287083511143
0.13266.6882961318680.795986143999
0.14266.9089633160960.8334886465525
0.15267.1316115468080.86283149718761
0.16267.3546178375440.881294338371455
0.17267.5758527062490.888003347344722
0.18267.7930757046670.883204045086137
0.19268.0042474086550.868555758541146
0.2268.2077466177570.846222448066257
0.21268.4024795328510.819963693474203
0.22268.5878842461200.79076628323705
0.23268.7638548339060.761258560596906
0.24268.9306218156690.732349118298946
0.25269.0886251285570.70430498642152
0.26269.2384052991620.677680948207088
0.27269.3805248448920.652234461843452
0.28269.5155207997040.628128366052676
0.29269.6438831370210.604846669922053
0.3269.7660522613890.582280579963484
0.31269.8824296716470.560765323654368
0.32269.9933974279060.540120092999652
0.33270.0993431345070.520486703000699
0.34270.2006876450690.501998330513868
0.35270.2979129411760.485796542759798
0.36270.3915879634670.472198622089878
0.37270.4823906475660.461890014221549
0.38270.5711248470080.455526845481842
0.39270.6587309446710.454586319885101
0.4270.7462886254240.459585122363824
0.41270.8350096235090.471565419374325
0.42270.9262176466040.490854918066512
0.43271.0213126463840.518120735567162
0.44271.1217176592650.55417816977786
0.45271.2288088651340.59736568461007
0.46271.3438332112230.646882728996808
0.47271.4678223830610.701807094675691
0.48271.6015161501250.759174421155336
0.49271.7453110417660.81691171293553
0.5271.8992508479090.872689976158631
0.51272.0630728437240.92539189638767
0.52272.2363176910630.97307368645991
0.53272.4185020724241.01633552800868
0.54272.6093422539441.05634966155379
0.55272.8090054166761.09616376959149
0.56273.0183555294581.14104573812750
0.57273.2391537101041.19667911136008
0.58273.474171341551.26980698635739
0.59273.7271792635031.36639799736100
0.6274.0027890248111.49080433827983
0.61274.3061421454371.64486749908797
0.62274.6424686567351.82698929974598
0.63275.0165630792792.03205891376266
0.64275.4322490719132.25227326601684
0.65275.8919170920562.47747972510107
0.66276.3962170414492.69601562405055
0.67276.9439669282202.89821004980591
0.68277.5322999960283.07452577852482
0.69278.1570225202703.21959086393380
0.7278.8131033130833.33069517916971
0.71279.4951776895413.40963967562358
0.72280.1979367033143.45866414141665
0.73280.9162957298813.48284591355353
0.74281.6452950191983.48464189743759
0.75282.379767362463.46379336585917
0.76283.1138926013953.41749648955011
0.77283.8408178688053.33989852119434
0.78284.5525321878203.22381264370775
0.79285.2401346337573.06487132196369
0.8285.8945396023322.86289958431736
0.81286.5075577753582.62341059568915
0.82287.0732290925592.35777765257418
0.83287.5893119857342.08366664755796
0.84288.0589681432921.82233141469510
0.85288.4928826604791.60047765882019
0.86288.9122033658631.45253011414882
0.87289.3525607892161.43070069259049
0.88289.8687794721821.60693209950375
0.89290.5385259106862.05576299756234
0.9291.4612356084362.82185339849014
0.91292.7472101305353.89584033412291
0.92294.4929677712175.17666818779349
0.93296.7458931389296.43735807951416
0.94299.4759030746177.34521747481665
0.95302.5890852769247.58574565717681
0.96306.0145064291227.11350874333413
0.97309.8210142175846.50222102075946
0.98314.1490299987657.05315016748056
0.99318.6712903902479.28708536847084

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 263.092734023474 & 0.346892266207182 \tabularnewline
0.02 & 263.366180327834 & 0.68762910407379 \tabularnewline
0.03 & 263.753779450268 & 0.879557305520671 \tabularnewline
0.04 & 264.185205488316 & 0.917176982437101 \tabularnewline
0.05 & 264.601394273923 & 0.866314314124583 \tabularnewline
0.06 & 264.971764090035 & 0.786811414582318 \tabularnewline
0.07 & 265.290349780279 & 0.715414319857505 \tabularnewline
0.08 & 265.565206328057 & 0.672356112938159 \tabularnewline
0.09 & 265.809411457963 & 0.662572072551941 \tabularnewline
0.1 & 266.035659993956 & 0.67954590442738 \tabularnewline
0.11 & 266.253800829614 & 0.71325264389146 \tabularnewline
0.12 & 266.470236535188 & 0.754287083511143 \tabularnewline
0.13 & 266.688296131868 & 0.795986143999 \tabularnewline
0.14 & 266.908963316096 & 0.8334886465525 \tabularnewline
0.15 & 267.131611546808 & 0.86283149718761 \tabularnewline
0.16 & 267.354617837544 & 0.881294338371455 \tabularnewline
0.17 & 267.575852706249 & 0.888003347344722 \tabularnewline
0.18 & 267.793075704667 & 0.883204045086137 \tabularnewline
0.19 & 268.004247408655 & 0.868555758541146 \tabularnewline
0.2 & 268.207746617757 & 0.846222448066257 \tabularnewline
0.21 & 268.402479532851 & 0.819963693474203 \tabularnewline
0.22 & 268.587884246120 & 0.79076628323705 \tabularnewline
0.23 & 268.763854833906 & 0.761258560596906 \tabularnewline
0.24 & 268.930621815669 & 0.732349118298946 \tabularnewline
0.25 & 269.088625128557 & 0.70430498642152 \tabularnewline
0.26 & 269.238405299162 & 0.677680948207088 \tabularnewline
0.27 & 269.380524844892 & 0.652234461843452 \tabularnewline
0.28 & 269.515520799704 & 0.628128366052676 \tabularnewline
0.29 & 269.643883137021 & 0.604846669922053 \tabularnewline
0.3 & 269.766052261389 & 0.582280579963484 \tabularnewline
0.31 & 269.882429671647 & 0.560765323654368 \tabularnewline
0.32 & 269.993397427906 & 0.540120092999652 \tabularnewline
0.33 & 270.099343134507 & 0.520486703000699 \tabularnewline
0.34 & 270.200687645069 & 0.501998330513868 \tabularnewline
0.35 & 270.297912941176 & 0.485796542759798 \tabularnewline
0.36 & 270.391587963467 & 0.472198622089878 \tabularnewline
0.37 & 270.482390647566 & 0.461890014221549 \tabularnewline
0.38 & 270.571124847008 & 0.455526845481842 \tabularnewline
0.39 & 270.658730944671 & 0.454586319885101 \tabularnewline
0.4 & 270.746288625424 & 0.459585122363824 \tabularnewline
0.41 & 270.835009623509 & 0.471565419374325 \tabularnewline
0.42 & 270.926217646604 & 0.490854918066512 \tabularnewline
0.43 & 271.021312646384 & 0.518120735567162 \tabularnewline
0.44 & 271.121717659265 & 0.55417816977786 \tabularnewline
0.45 & 271.228808865134 & 0.59736568461007 \tabularnewline
0.46 & 271.343833211223 & 0.646882728996808 \tabularnewline
0.47 & 271.467822383061 & 0.701807094675691 \tabularnewline
0.48 & 271.601516150125 & 0.759174421155336 \tabularnewline
0.49 & 271.745311041766 & 0.81691171293553 \tabularnewline
0.5 & 271.899250847909 & 0.872689976158631 \tabularnewline
0.51 & 272.063072843724 & 0.92539189638767 \tabularnewline
0.52 & 272.236317691063 & 0.97307368645991 \tabularnewline
0.53 & 272.418502072424 & 1.01633552800868 \tabularnewline
0.54 & 272.609342253944 & 1.05634966155379 \tabularnewline
0.55 & 272.809005416676 & 1.09616376959149 \tabularnewline
0.56 & 273.018355529458 & 1.14104573812750 \tabularnewline
0.57 & 273.239153710104 & 1.19667911136008 \tabularnewline
0.58 & 273.47417134155 & 1.26980698635739 \tabularnewline
0.59 & 273.727179263503 & 1.36639799736100 \tabularnewline
0.6 & 274.002789024811 & 1.49080433827983 \tabularnewline
0.61 & 274.306142145437 & 1.64486749908797 \tabularnewline
0.62 & 274.642468656735 & 1.82698929974598 \tabularnewline
0.63 & 275.016563079279 & 2.03205891376266 \tabularnewline
0.64 & 275.432249071913 & 2.25227326601684 \tabularnewline
0.65 & 275.891917092056 & 2.47747972510107 \tabularnewline
0.66 & 276.396217041449 & 2.69601562405055 \tabularnewline
0.67 & 276.943966928220 & 2.89821004980591 \tabularnewline
0.68 & 277.532299996028 & 3.07452577852482 \tabularnewline
0.69 & 278.157022520270 & 3.21959086393380 \tabularnewline
0.7 & 278.813103313083 & 3.33069517916971 \tabularnewline
0.71 & 279.495177689541 & 3.40963967562358 \tabularnewline
0.72 & 280.197936703314 & 3.45866414141665 \tabularnewline
0.73 & 280.916295729881 & 3.48284591355353 \tabularnewline
0.74 & 281.645295019198 & 3.48464189743759 \tabularnewline
0.75 & 282.37976736246 & 3.46379336585917 \tabularnewline
0.76 & 283.113892601395 & 3.41749648955011 \tabularnewline
0.77 & 283.840817868805 & 3.33989852119434 \tabularnewline
0.78 & 284.552532187820 & 3.22381264370775 \tabularnewline
0.79 & 285.240134633757 & 3.06487132196369 \tabularnewline
0.8 & 285.894539602332 & 2.86289958431736 \tabularnewline
0.81 & 286.507557775358 & 2.62341059568915 \tabularnewline
0.82 & 287.073229092559 & 2.35777765257418 \tabularnewline
0.83 & 287.589311985734 & 2.08366664755796 \tabularnewline
0.84 & 288.058968143292 & 1.82233141469510 \tabularnewline
0.85 & 288.492882660479 & 1.60047765882019 \tabularnewline
0.86 & 288.912203365863 & 1.45253011414882 \tabularnewline
0.87 & 289.352560789216 & 1.43070069259049 \tabularnewline
0.88 & 289.868779472182 & 1.60693209950375 \tabularnewline
0.89 & 290.538525910686 & 2.05576299756234 \tabularnewline
0.9 & 291.461235608436 & 2.82185339849014 \tabularnewline
0.91 & 292.747210130535 & 3.89584033412291 \tabularnewline
0.92 & 294.492967771217 & 5.17666818779349 \tabularnewline
0.93 & 296.745893138929 & 6.43735807951416 \tabularnewline
0.94 & 299.475903074617 & 7.34521747481665 \tabularnewline
0.95 & 302.589085276924 & 7.58574565717681 \tabularnewline
0.96 & 306.014506429122 & 7.11350874333413 \tabularnewline
0.97 & 309.821014217584 & 6.50222102075946 \tabularnewline
0.98 & 314.149029998765 & 7.05315016748056 \tabularnewline
0.99 & 318.671290390247 & 9.28708536847084 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39054&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]263.092734023474[/C][C]0.346892266207182[/C][/ROW]
[ROW][C]0.02[/C][C]263.366180327834[/C][C]0.68762910407379[/C][/ROW]
[ROW][C]0.03[/C][C]263.753779450268[/C][C]0.879557305520671[/C][/ROW]
[ROW][C]0.04[/C][C]264.185205488316[/C][C]0.917176982437101[/C][/ROW]
[ROW][C]0.05[/C][C]264.601394273923[/C][C]0.866314314124583[/C][/ROW]
[ROW][C]0.06[/C][C]264.971764090035[/C][C]0.786811414582318[/C][/ROW]
[ROW][C]0.07[/C][C]265.290349780279[/C][C]0.715414319857505[/C][/ROW]
[ROW][C]0.08[/C][C]265.565206328057[/C][C]0.672356112938159[/C][/ROW]
[ROW][C]0.09[/C][C]265.809411457963[/C][C]0.662572072551941[/C][/ROW]
[ROW][C]0.1[/C][C]266.035659993956[/C][C]0.67954590442738[/C][/ROW]
[ROW][C]0.11[/C][C]266.253800829614[/C][C]0.71325264389146[/C][/ROW]
[ROW][C]0.12[/C][C]266.470236535188[/C][C]0.754287083511143[/C][/ROW]
[ROW][C]0.13[/C][C]266.688296131868[/C][C]0.795986143999[/C][/ROW]
[ROW][C]0.14[/C][C]266.908963316096[/C][C]0.8334886465525[/C][/ROW]
[ROW][C]0.15[/C][C]267.131611546808[/C][C]0.86283149718761[/C][/ROW]
[ROW][C]0.16[/C][C]267.354617837544[/C][C]0.881294338371455[/C][/ROW]
[ROW][C]0.17[/C][C]267.575852706249[/C][C]0.888003347344722[/C][/ROW]
[ROW][C]0.18[/C][C]267.793075704667[/C][C]0.883204045086137[/C][/ROW]
[ROW][C]0.19[/C][C]268.004247408655[/C][C]0.868555758541146[/C][/ROW]
[ROW][C]0.2[/C][C]268.207746617757[/C][C]0.846222448066257[/C][/ROW]
[ROW][C]0.21[/C][C]268.402479532851[/C][C]0.819963693474203[/C][/ROW]
[ROW][C]0.22[/C][C]268.587884246120[/C][C]0.79076628323705[/C][/ROW]
[ROW][C]0.23[/C][C]268.763854833906[/C][C]0.761258560596906[/C][/ROW]
[ROW][C]0.24[/C][C]268.930621815669[/C][C]0.732349118298946[/C][/ROW]
[ROW][C]0.25[/C][C]269.088625128557[/C][C]0.70430498642152[/C][/ROW]
[ROW][C]0.26[/C][C]269.238405299162[/C][C]0.677680948207088[/C][/ROW]
[ROW][C]0.27[/C][C]269.380524844892[/C][C]0.652234461843452[/C][/ROW]
[ROW][C]0.28[/C][C]269.515520799704[/C][C]0.628128366052676[/C][/ROW]
[ROW][C]0.29[/C][C]269.643883137021[/C][C]0.604846669922053[/C][/ROW]
[ROW][C]0.3[/C][C]269.766052261389[/C][C]0.582280579963484[/C][/ROW]
[ROW][C]0.31[/C][C]269.882429671647[/C][C]0.560765323654368[/C][/ROW]
[ROW][C]0.32[/C][C]269.993397427906[/C][C]0.540120092999652[/C][/ROW]
[ROW][C]0.33[/C][C]270.099343134507[/C][C]0.520486703000699[/C][/ROW]
[ROW][C]0.34[/C][C]270.200687645069[/C][C]0.501998330513868[/C][/ROW]
[ROW][C]0.35[/C][C]270.297912941176[/C][C]0.485796542759798[/C][/ROW]
[ROW][C]0.36[/C][C]270.391587963467[/C][C]0.472198622089878[/C][/ROW]
[ROW][C]0.37[/C][C]270.482390647566[/C][C]0.461890014221549[/C][/ROW]
[ROW][C]0.38[/C][C]270.571124847008[/C][C]0.455526845481842[/C][/ROW]
[ROW][C]0.39[/C][C]270.658730944671[/C][C]0.454586319885101[/C][/ROW]
[ROW][C]0.4[/C][C]270.746288625424[/C][C]0.459585122363824[/C][/ROW]
[ROW][C]0.41[/C][C]270.835009623509[/C][C]0.471565419374325[/C][/ROW]
[ROW][C]0.42[/C][C]270.926217646604[/C][C]0.490854918066512[/C][/ROW]
[ROW][C]0.43[/C][C]271.021312646384[/C][C]0.518120735567162[/C][/ROW]
[ROW][C]0.44[/C][C]271.121717659265[/C][C]0.55417816977786[/C][/ROW]
[ROW][C]0.45[/C][C]271.228808865134[/C][C]0.59736568461007[/C][/ROW]
[ROW][C]0.46[/C][C]271.343833211223[/C][C]0.646882728996808[/C][/ROW]
[ROW][C]0.47[/C][C]271.467822383061[/C][C]0.701807094675691[/C][/ROW]
[ROW][C]0.48[/C][C]271.601516150125[/C][C]0.759174421155336[/C][/ROW]
[ROW][C]0.49[/C][C]271.745311041766[/C][C]0.81691171293553[/C][/ROW]
[ROW][C]0.5[/C][C]271.899250847909[/C][C]0.872689976158631[/C][/ROW]
[ROW][C]0.51[/C][C]272.063072843724[/C][C]0.92539189638767[/C][/ROW]
[ROW][C]0.52[/C][C]272.236317691063[/C][C]0.97307368645991[/C][/ROW]
[ROW][C]0.53[/C][C]272.418502072424[/C][C]1.01633552800868[/C][/ROW]
[ROW][C]0.54[/C][C]272.609342253944[/C][C]1.05634966155379[/C][/ROW]
[ROW][C]0.55[/C][C]272.809005416676[/C][C]1.09616376959149[/C][/ROW]
[ROW][C]0.56[/C][C]273.018355529458[/C][C]1.14104573812750[/C][/ROW]
[ROW][C]0.57[/C][C]273.239153710104[/C][C]1.19667911136008[/C][/ROW]
[ROW][C]0.58[/C][C]273.47417134155[/C][C]1.26980698635739[/C][/ROW]
[ROW][C]0.59[/C][C]273.727179263503[/C][C]1.36639799736100[/C][/ROW]
[ROW][C]0.6[/C][C]274.002789024811[/C][C]1.49080433827983[/C][/ROW]
[ROW][C]0.61[/C][C]274.306142145437[/C][C]1.64486749908797[/C][/ROW]
[ROW][C]0.62[/C][C]274.642468656735[/C][C]1.82698929974598[/C][/ROW]
[ROW][C]0.63[/C][C]275.016563079279[/C][C]2.03205891376266[/C][/ROW]
[ROW][C]0.64[/C][C]275.432249071913[/C][C]2.25227326601684[/C][/ROW]
[ROW][C]0.65[/C][C]275.891917092056[/C][C]2.47747972510107[/C][/ROW]
[ROW][C]0.66[/C][C]276.396217041449[/C][C]2.69601562405055[/C][/ROW]
[ROW][C]0.67[/C][C]276.943966928220[/C][C]2.89821004980591[/C][/ROW]
[ROW][C]0.68[/C][C]277.532299996028[/C][C]3.07452577852482[/C][/ROW]
[ROW][C]0.69[/C][C]278.157022520270[/C][C]3.21959086393380[/C][/ROW]
[ROW][C]0.7[/C][C]278.813103313083[/C][C]3.33069517916971[/C][/ROW]
[ROW][C]0.71[/C][C]279.495177689541[/C][C]3.40963967562358[/C][/ROW]
[ROW][C]0.72[/C][C]280.197936703314[/C][C]3.45866414141665[/C][/ROW]
[ROW][C]0.73[/C][C]280.916295729881[/C][C]3.48284591355353[/C][/ROW]
[ROW][C]0.74[/C][C]281.645295019198[/C][C]3.48464189743759[/C][/ROW]
[ROW][C]0.75[/C][C]282.37976736246[/C][C]3.46379336585917[/C][/ROW]
[ROW][C]0.76[/C][C]283.113892601395[/C][C]3.41749648955011[/C][/ROW]
[ROW][C]0.77[/C][C]283.840817868805[/C][C]3.33989852119434[/C][/ROW]
[ROW][C]0.78[/C][C]284.552532187820[/C][C]3.22381264370775[/C][/ROW]
[ROW][C]0.79[/C][C]285.240134633757[/C][C]3.06487132196369[/C][/ROW]
[ROW][C]0.8[/C][C]285.894539602332[/C][C]2.86289958431736[/C][/ROW]
[ROW][C]0.81[/C][C]286.507557775358[/C][C]2.62341059568915[/C][/ROW]
[ROW][C]0.82[/C][C]287.073229092559[/C][C]2.35777765257418[/C][/ROW]
[ROW][C]0.83[/C][C]287.589311985734[/C][C]2.08366664755796[/C][/ROW]
[ROW][C]0.84[/C][C]288.058968143292[/C][C]1.82233141469510[/C][/ROW]
[ROW][C]0.85[/C][C]288.492882660479[/C][C]1.60047765882019[/C][/ROW]
[ROW][C]0.86[/C][C]288.912203365863[/C][C]1.45253011414882[/C][/ROW]
[ROW][C]0.87[/C][C]289.352560789216[/C][C]1.43070069259049[/C][/ROW]
[ROW][C]0.88[/C][C]289.868779472182[/C][C]1.60693209950375[/C][/ROW]
[ROW][C]0.89[/C][C]290.538525910686[/C][C]2.05576299756234[/C][/ROW]
[ROW][C]0.9[/C][C]291.461235608436[/C][C]2.82185339849014[/C][/ROW]
[ROW][C]0.91[/C][C]292.747210130535[/C][C]3.89584033412291[/C][/ROW]
[ROW][C]0.92[/C][C]294.492967771217[/C][C]5.17666818779349[/C][/ROW]
[ROW][C]0.93[/C][C]296.745893138929[/C][C]6.43735807951416[/C][/ROW]
[ROW][C]0.94[/C][C]299.475903074617[/C][C]7.34521747481665[/C][/ROW]
[ROW][C]0.95[/C][C]302.589085276924[/C][C]7.58574565717681[/C][/ROW]
[ROW][C]0.96[/C][C]306.014506429122[/C][C]7.11350874333413[/C][/ROW]
[ROW][C]0.97[/C][C]309.821014217584[/C][C]6.50222102075946[/C][/ROW]
[ROW][C]0.98[/C][C]314.149029998765[/C][C]7.05315016748056[/C][/ROW]
[ROW][C]0.99[/C][C]318.671290390247[/C][C]9.28708536847084[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39054&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39054&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
0.01263.0927340234740.346892266207182
0.02263.3661803278340.68762910407379
0.03263.7537794502680.879557305520671
0.04264.1852054883160.917176982437101
0.05264.6013942739230.866314314124583
0.06264.9717640900350.786811414582318
0.07265.2903497802790.715414319857505
0.08265.5652063280570.672356112938159
0.09265.8094114579630.662572072551941
0.1266.0356599939560.67954590442738
0.11266.2538008296140.71325264389146
0.12266.4702365351880.754287083511143
0.13266.6882961318680.795986143999
0.14266.9089633160960.8334886465525
0.15267.1316115468080.86283149718761
0.16267.3546178375440.881294338371455
0.17267.5758527062490.888003347344722
0.18267.7930757046670.883204045086137
0.19268.0042474086550.868555758541146
0.2268.2077466177570.846222448066257
0.21268.4024795328510.819963693474203
0.22268.5878842461200.79076628323705
0.23268.7638548339060.761258560596906
0.24268.9306218156690.732349118298946
0.25269.0886251285570.70430498642152
0.26269.2384052991620.677680948207088
0.27269.3805248448920.652234461843452
0.28269.5155207997040.628128366052676
0.29269.6438831370210.604846669922053
0.3269.7660522613890.582280579963484
0.31269.8824296716470.560765323654368
0.32269.9933974279060.540120092999652
0.33270.0993431345070.520486703000699
0.34270.2006876450690.501998330513868
0.35270.2979129411760.485796542759798
0.36270.3915879634670.472198622089878
0.37270.4823906475660.461890014221549
0.38270.5711248470080.455526845481842
0.39270.6587309446710.454586319885101
0.4270.7462886254240.459585122363824
0.41270.8350096235090.471565419374325
0.42270.9262176466040.490854918066512
0.43271.0213126463840.518120735567162
0.44271.1217176592650.55417816977786
0.45271.2288088651340.59736568461007
0.46271.3438332112230.646882728996808
0.47271.4678223830610.701807094675691
0.48271.6015161501250.759174421155336
0.49271.7453110417660.81691171293553
0.5271.8992508479090.872689976158631
0.51272.0630728437240.92539189638767
0.52272.2363176910630.97307368645991
0.53272.4185020724241.01633552800868
0.54272.6093422539441.05634966155379
0.55272.8090054166761.09616376959149
0.56273.0183555294581.14104573812750
0.57273.2391537101041.19667911136008
0.58273.474171341551.26980698635739
0.59273.7271792635031.36639799736100
0.6274.0027890248111.49080433827983
0.61274.3061421454371.64486749908797
0.62274.6424686567351.82698929974598
0.63275.0165630792792.03205891376266
0.64275.4322490719132.25227326601684
0.65275.8919170920562.47747972510107
0.66276.3962170414492.69601562405055
0.67276.9439669282202.89821004980591
0.68277.5322999960283.07452577852482
0.69278.1570225202703.21959086393380
0.7278.8131033130833.33069517916971
0.71279.4951776895413.40963967562358
0.72280.1979367033143.45866414141665
0.73280.9162957298813.48284591355353
0.74281.6452950191983.48464189743759
0.75282.379767362463.46379336585917
0.76283.1138926013953.41749648955011
0.77283.8408178688053.33989852119434
0.78284.5525321878203.22381264370775
0.79285.2401346337573.06487132196369
0.8285.8945396023322.86289958431736
0.81286.5075577753582.62341059568915
0.82287.0732290925592.35777765257418
0.83287.5893119857342.08366664755796
0.84288.0589681432921.82233141469510
0.85288.4928826604791.60047765882019
0.86288.9122033658631.45253011414882
0.87289.3525607892161.43070069259049
0.88289.8687794721821.60693209950375
0.89290.5385259106862.05576299756234
0.9291.4612356084362.82185339849014
0.91292.7472101305353.89584033412291
0.92294.4929677712175.17666818779349
0.93296.7458931389296.43735807951416
0.94299.4759030746177.34521747481665
0.95302.5890852769247.58574565717681
0.96306.0145064291227.11350874333413
0.97309.8210142175846.50222102075946
0.98314.1490299987657.05315016748056
0.99318.6712903902479.28708536847084



Parameters (Session):
par1 = grey ;
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')