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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 24 Oct 2009 14:49:35 -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/Oct/24/t1256417414btqbgj7wqax7hj0.htm/, Retrieved Fri, 03 May 2024 09:40:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=50248, Retrieved Fri, 03 May 2024 09:40:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [SHWWS2] [2009-10-13 19:25:22] [f966872135bb25240f339c0c372beeec]
-    D  [Univariate Data Series] [SHWWS2.2] [2009-10-13 19:36:24] [f966872135bb25240f339c0c372beeec]
-   PD    [Univariate Data Series] [SHWWS3V2] [2009-10-24 20:24:47] [f966872135bb25240f339c0c372beeec]
- RMPD        [Harrell-Davis Quantiles] [SHWWS3V3.2] [2009-10-24 20:49:35] [ad87854c04c4a917385375bf83f61258] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-529
-687
-318
208
-698
-175
-288
-182
691
445
1215
1137
-276
509
769
275
64
1281
1277
577
1546
440
853
1058
71
298
564
789
-313
148
225
-221
660
-269
-411
606
-161
88
-735
1076
-240
-620
-116
355
-113
66
-386
186
-545
-664
-64
-408
-450
334
-1314
-931
-635
-277
-622
-403

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50248&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50248&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50248&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-1225.69276030642332.398357813482
0.02-1099.46851448298269.828543885118
0.03-975.08206384479207.536180448045
0.04-874.162279192824154.273496960811
0.05-800.637081191362112.513030486844
0.06-749.63007232952482.6477537404896
0.07-714.25818579638463.9949764681605
0.08-688.6175058871854.7729885509961
0.09-668.46250010114352.4102882048611
0.1-651.00146110123554.4110813088399
0.11-634.50525105992858.9775942062962
0.12-617.96572587324364.9302972828656
0.13-600.85208464307571.3977764404409
0.14-582.95262619295777.6473153089184
0.15-564.27406364162283.0534075864022
0.16-544.97209216966587.1451596370305
0.17-525.29546417618689.6532538821074
0.18-505.53576638789090.5295866205966
0.19-485.98269554474689.9304604363148
0.2-466.88832824481488.1639480149999
0.21-448.44397202178585.618684677919
0.22-430.77101283767582.6796948772551
0.23-413.9243136702479.6659855375
0.24-397.90442101174676.7911400704352
0.25-382.67377981242074.15649939843
0.26-368.17244393680471.7810084060588
0.27-354.33006960148669.6414563091407
0.28-341.07274790968367.7166349169035
0.29-328.32491592724866.019883661681
0.3-316.0077770442964.6091870847176
0.31-304.03617715068863.5811397139876
0.32-292.31576088312763.0501102669428
0.33-280.74166873260763.1285270407505
0.34-269.19929689722163.8984237524935
0.35-257.56697379235865.4036363465059
0.36-245.71997433687467.6450437166018
0.37-233.53515158423970.5885931795503
0.38-220.89557216747874.1751583930911
0.39-207.69479013338378.3292620575978
0.4-193.84065642251682.9599716797691
0.41-179.25873418463187.9620130936358
0.42-163.89541932747893.20967540494
0.43-147.72075687996998.5546434709342
0.44-130.730753239955103.828429571683
0.45-112.948796457141108.846508317099
0.46-94.42569482224113.422508463555
0.47-75.2378842627633117.384616186912
0.48-55.4835489532619120.593008620303
0.49-35.2767108406790122.956170219163
0.5-14.7396991338918124.442708948628
0.516.0052786738957125.084388966581
0.5226.8445557868633124.972912302657
0.5347.6804898621898124.247811810204
0.5468.4372415517213123.079894055264
0.5589.0643632671132121.652036843404
0.56109.53805709972120.141388216600
0.57129.860281421505118.705108255415
0.58150.056116277079117.472245624665
0.59170.169902201598116.539360663040
0.6190.260647619363115.971870507481
0.61210.397092261356115.805947393895
0.62230.652674007623116.049412158875
0.63251.100532272478116.683325006330
0.64271.808635690714117.660786080945
0.65292.835162197513118.907140939989
0.66314.224372302141120.321611990161
0.67336.003362317387121.783611263201
0.68358.180209160839123.159405689157
0.69380.744066671929124.318243197667
0.7403.667703656762125.146651239251
0.71426.912771235135125.566922087625
0.72450.437770951436125.553014818356
0.73474.20831827934125.143304932251
0.74498.208932273281124.446616009207
0.75522.455301315862123.640751351928
0.76547.005811807156122.96120595798
0.77571.971053312002122.684722585491
0.78597.519937054841123.102684019698
0.79623.88086880188124.492578164249
0.8651.336057743108127.085703168566
0.81680.206669670377131.027653211602
0.82710.82657196727136.328298670373
0.83743.503514305365142.799353642797
0.84778.469318295565149.991447579048
0.85815.825015144116157.164887606854
0.86855.491783782484163.330176045121
0.87897.181698187491167.38625577292
0.88940.40095073786168.341443465571
0.89984.491190278897165.562574239749
0.91028.70512718169158.955941403266
0.911072.31046262825148.978862930409
0.921114.73594625083136.465392536784
0.931155.82102595775122.402072300831
0.941196.27107678618108.053312900959
0.951238.3282263610096.1020094399671
0.961286.224757581693.4259517865995
0.971345.11442986688111.639904884918
0.981416.64147126604155.767108139693
0.991491.44927137575214.047268564278

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -1225.69276030642 & 332.398357813482 \tabularnewline
0.02 & -1099.46851448298 & 269.828543885118 \tabularnewline
0.03 & -975.08206384479 & 207.536180448045 \tabularnewline
0.04 & -874.162279192824 & 154.273496960811 \tabularnewline
0.05 & -800.637081191362 & 112.513030486844 \tabularnewline
0.06 & -749.630072329524 & 82.6477537404896 \tabularnewline
0.07 & -714.258185796384 & 63.9949764681605 \tabularnewline
0.08 & -688.61750588718 & 54.7729885509961 \tabularnewline
0.09 & -668.462500101143 & 52.4102882048611 \tabularnewline
0.1 & -651.001461101235 & 54.4110813088399 \tabularnewline
0.11 & -634.505251059928 & 58.9775942062962 \tabularnewline
0.12 & -617.965725873243 & 64.9302972828656 \tabularnewline
0.13 & -600.852084643075 & 71.3977764404409 \tabularnewline
0.14 & -582.952626192957 & 77.6473153089184 \tabularnewline
0.15 & -564.274063641622 & 83.0534075864022 \tabularnewline
0.16 & -544.972092169665 & 87.1451596370305 \tabularnewline
0.17 & -525.295464176186 & 89.6532538821074 \tabularnewline
0.18 & -505.535766387890 & 90.5295866205966 \tabularnewline
0.19 & -485.982695544746 & 89.9304604363148 \tabularnewline
0.2 & -466.888328244814 & 88.1639480149999 \tabularnewline
0.21 & -448.443972021785 & 85.618684677919 \tabularnewline
0.22 & -430.771012837675 & 82.6796948772551 \tabularnewline
0.23 & -413.92431367024 & 79.6659855375 \tabularnewline
0.24 & -397.904421011746 & 76.7911400704352 \tabularnewline
0.25 & -382.673779812420 & 74.15649939843 \tabularnewline
0.26 & -368.172443936804 & 71.7810084060588 \tabularnewline
0.27 & -354.330069601486 & 69.6414563091407 \tabularnewline
0.28 & -341.072747909683 & 67.7166349169035 \tabularnewline
0.29 & -328.324915927248 & 66.019883661681 \tabularnewline
0.3 & -316.00777704429 & 64.6091870847176 \tabularnewline
0.31 & -304.036177150688 & 63.5811397139876 \tabularnewline
0.32 & -292.315760883127 & 63.0501102669428 \tabularnewline
0.33 & -280.741668732607 & 63.1285270407505 \tabularnewline
0.34 & -269.199296897221 & 63.8984237524935 \tabularnewline
0.35 & -257.566973792358 & 65.4036363465059 \tabularnewline
0.36 & -245.719974336874 & 67.6450437166018 \tabularnewline
0.37 & -233.535151584239 & 70.5885931795503 \tabularnewline
0.38 & -220.895572167478 & 74.1751583930911 \tabularnewline
0.39 & -207.694790133383 & 78.3292620575978 \tabularnewline
0.4 & -193.840656422516 & 82.9599716797691 \tabularnewline
0.41 & -179.258734184631 & 87.9620130936358 \tabularnewline
0.42 & -163.895419327478 & 93.20967540494 \tabularnewline
0.43 & -147.720756879969 & 98.5546434709342 \tabularnewline
0.44 & -130.730753239955 & 103.828429571683 \tabularnewline
0.45 & -112.948796457141 & 108.846508317099 \tabularnewline
0.46 & -94.42569482224 & 113.422508463555 \tabularnewline
0.47 & -75.2378842627633 & 117.384616186912 \tabularnewline
0.48 & -55.4835489532619 & 120.593008620303 \tabularnewline
0.49 & -35.2767108406790 & 122.956170219163 \tabularnewline
0.5 & -14.7396991338918 & 124.442708948628 \tabularnewline
0.51 & 6.0052786738957 & 125.084388966581 \tabularnewline
0.52 & 26.8445557868633 & 124.972912302657 \tabularnewline
0.53 & 47.6804898621898 & 124.247811810204 \tabularnewline
0.54 & 68.4372415517213 & 123.079894055264 \tabularnewline
0.55 & 89.0643632671132 & 121.652036843404 \tabularnewline
0.56 & 109.53805709972 & 120.141388216600 \tabularnewline
0.57 & 129.860281421505 & 118.705108255415 \tabularnewline
0.58 & 150.056116277079 & 117.472245624665 \tabularnewline
0.59 & 170.169902201598 & 116.539360663040 \tabularnewline
0.6 & 190.260647619363 & 115.971870507481 \tabularnewline
0.61 & 210.397092261356 & 115.805947393895 \tabularnewline
0.62 & 230.652674007623 & 116.049412158875 \tabularnewline
0.63 & 251.100532272478 & 116.683325006330 \tabularnewline
0.64 & 271.808635690714 & 117.660786080945 \tabularnewline
0.65 & 292.835162197513 & 118.907140939989 \tabularnewline
0.66 & 314.224372302141 & 120.321611990161 \tabularnewline
0.67 & 336.003362317387 & 121.783611263201 \tabularnewline
0.68 & 358.180209160839 & 123.159405689157 \tabularnewline
0.69 & 380.744066671929 & 124.318243197667 \tabularnewline
0.7 & 403.667703656762 & 125.146651239251 \tabularnewline
0.71 & 426.912771235135 & 125.566922087625 \tabularnewline
0.72 & 450.437770951436 & 125.553014818356 \tabularnewline
0.73 & 474.20831827934 & 125.143304932251 \tabularnewline
0.74 & 498.208932273281 & 124.446616009207 \tabularnewline
0.75 & 522.455301315862 & 123.640751351928 \tabularnewline
0.76 & 547.005811807156 & 122.96120595798 \tabularnewline
0.77 & 571.971053312002 & 122.684722585491 \tabularnewline
0.78 & 597.519937054841 & 123.102684019698 \tabularnewline
0.79 & 623.88086880188 & 124.492578164249 \tabularnewline
0.8 & 651.336057743108 & 127.085703168566 \tabularnewline
0.81 & 680.206669670377 & 131.027653211602 \tabularnewline
0.82 & 710.82657196727 & 136.328298670373 \tabularnewline
0.83 & 743.503514305365 & 142.799353642797 \tabularnewline
0.84 & 778.469318295565 & 149.991447579048 \tabularnewline
0.85 & 815.825015144116 & 157.164887606854 \tabularnewline
0.86 & 855.491783782484 & 163.330176045121 \tabularnewline
0.87 & 897.181698187491 & 167.38625577292 \tabularnewline
0.88 & 940.40095073786 & 168.341443465571 \tabularnewline
0.89 & 984.491190278897 & 165.562574239749 \tabularnewline
0.9 & 1028.70512718169 & 158.955941403266 \tabularnewline
0.91 & 1072.31046262825 & 148.978862930409 \tabularnewline
0.92 & 1114.73594625083 & 136.465392536784 \tabularnewline
0.93 & 1155.82102595775 & 122.402072300831 \tabularnewline
0.94 & 1196.27107678618 & 108.053312900959 \tabularnewline
0.95 & 1238.32822636100 & 96.1020094399671 \tabularnewline
0.96 & 1286.2247575816 & 93.4259517865995 \tabularnewline
0.97 & 1345.11442986688 & 111.639904884918 \tabularnewline
0.98 & 1416.64147126604 & 155.767108139693 \tabularnewline
0.99 & 1491.44927137575 & 214.047268564278 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50248&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]-1225.69276030642[/C][C]332.398357813482[/C][/ROW]
[ROW][C]0.02[/C][C]-1099.46851448298[/C][C]269.828543885118[/C][/ROW]
[ROW][C]0.03[/C][C]-975.08206384479[/C][C]207.536180448045[/C][/ROW]
[ROW][C]0.04[/C][C]-874.162279192824[/C][C]154.273496960811[/C][/ROW]
[ROW][C]0.05[/C][C]-800.637081191362[/C][C]112.513030486844[/C][/ROW]
[ROW][C]0.06[/C][C]-749.630072329524[/C][C]82.6477537404896[/C][/ROW]
[ROW][C]0.07[/C][C]-714.258185796384[/C][C]63.9949764681605[/C][/ROW]
[ROW][C]0.08[/C][C]-688.61750588718[/C][C]54.7729885509961[/C][/ROW]
[ROW][C]0.09[/C][C]-668.462500101143[/C][C]52.4102882048611[/C][/ROW]
[ROW][C]0.1[/C][C]-651.001461101235[/C][C]54.4110813088399[/C][/ROW]
[ROW][C]0.11[/C][C]-634.505251059928[/C][C]58.9775942062962[/C][/ROW]
[ROW][C]0.12[/C][C]-617.965725873243[/C][C]64.9302972828656[/C][/ROW]
[ROW][C]0.13[/C][C]-600.852084643075[/C][C]71.3977764404409[/C][/ROW]
[ROW][C]0.14[/C][C]-582.952626192957[/C][C]77.6473153089184[/C][/ROW]
[ROW][C]0.15[/C][C]-564.274063641622[/C][C]83.0534075864022[/C][/ROW]
[ROW][C]0.16[/C][C]-544.972092169665[/C][C]87.1451596370305[/C][/ROW]
[ROW][C]0.17[/C][C]-525.295464176186[/C][C]89.6532538821074[/C][/ROW]
[ROW][C]0.18[/C][C]-505.535766387890[/C][C]90.5295866205966[/C][/ROW]
[ROW][C]0.19[/C][C]-485.982695544746[/C][C]89.9304604363148[/C][/ROW]
[ROW][C]0.2[/C][C]-466.888328244814[/C][C]88.1639480149999[/C][/ROW]
[ROW][C]0.21[/C][C]-448.443972021785[/C][C]85.618684677919[/C][/ROW]
[ROW][C]0.22[/C][C]-430.771012837675[/C][C]82.6796948772551[/C][/ROW]
[ROW][C]0.23[/C][C]-413.92431367024[/C][C]79.6659855375[/C][/ROW]
[ROW][C]0.24[/C][C]-397.904421011746[/C][C]76.7911400704352[/C][/ROW]
[ROW][C]0.25[/C][C]-382.673779812420[/C][C]74.15649939843[/C][/ROW]
[ROW][C]0.26[/C][C]-368.172443936804[/C][C]71.7810084060588[/C][/ROW]
[ROW][C]0.27[/C][C]-354.330069601486[/C][C]69.6414563091407[/C][/ROW]
[ROW][C]0.28[/C][C]-341.072747909683[/C][C]67.7166349169035[/C][/ROW]
[ROW][C]0.29[/C][C]-328.324915927248[/C][C]66.019883661681[/C][/ROW]
[ROW][C]0.3[/C][C]-316.00777704429[/C][C]64.6091870847176[/C][/ROW]
[ROW][C]0.31[/C][C]-304.036177150688[/C][C]63.5811397139876[/C][/ROW]
[ROW][C]0.32[/C][C]-292.315760883127[/C][C]63.0501102669428[/C][/ROW]
[ROW][C]0.33[/C][C]-280.741668732607[/C][C]63.1285270407505[/C][/ROW]
[ROW][C]0.34[/C][C]-269.199296897221[/C][C]63.8984237524935[/C][/ROW]
[ROW][C]0.35[/C][C]-257.566973792358[/C][C]65.4036363465059[/C][/ROW]
[ROW][C]0.36[/C][C]-245.719974336874[/C][C]67.6450437166018[/C][/ROW]
[ROW][C]0.37[/C][C]-233.535151584239[/C][C]70.5885931795503[/C][/ROW]
[ROW][C]0.38[/C][C]-220.895572167478[/C][C]74.1751583930911[/C][/ROW]
[ROW][C]0.39[/C][C]-207.694790133383[/C][C]78.3292620575978[/C][/ROW]
[ROW][C]0.4[/C][C]-193.840656422516[/C][C]82.9599716797691[/C][/ROW]
[ROW][C]0.41[/C][C]-179.258734184631[/C][C]87.9620130936358[/C][/ROW]
[ROW][C]0.42[/C][C]-163.895419327478[/C][C]93.20967540494[/C][/ROW]
[ROW][C]0.43[/C][C]-147.720756879969[/C][C]98.5546434709342[/C][/ROW]
[ROW][C]0.44[/C][C]-130.730753239955[/C][C]103.828429571683[/C][/ROW]
[ROW][C]0.45[/C][C]-112.948796457141[/C][C]108.846508317099[/C][/ROW]
[ROW][C]0.46[/C][C]-94.42569482224[/C][C]113.422508463555[/C][/ROW]
[ROW][C]0.47[/C][C]-75.2378842627633[/C][C]117.384616186912[/C][/ROW]
[ROW][C]0.48[/C][C]-55.4835489532619[/C][C]120.593008620303[/C][/ROW]
[ROW][C]0.49[/C][C]-35.2767108406790[/C][C]122.956170219163[/C][/ROW]
[ROW][C]0.5[/C][C]-14.7396991338918[/C][C]124.442708948628[/C][/ROW]
[ROW][C]0.51[/C][C]6.0052786738957[/C][C]125.084388966581[/C][/ROW]
[ROW][C]0.52[/C][C]26.8445557868633[/C][C]124.972912302657[/C][/ROW]
[ROW][C]0.53[/C][C]47.6804898621898[/C][C]124.247811810204[/C][/ROW]
[ROW][C]0.54[/C][C]68.4372415517213[/C][C]123.079894055264[/C][/ROW]
[ROW][C]0.55[/C][C]89.0643632671132[/C][C]121.652036843404[/C][/ROW]
[ROW][C]0.56[/C][C]109.53805709972[/C][C]120.141388216600[/C][/ROW]
[ROW][C]0.57[/C][C]129.860281421505[/C][C]118.705108255415[/C][/ROW]
[ROW][C]0.58[/C][C]150.056116277079[/C][C]117.472245624665[/C][/ROW]
[ROW][C]0.59[/C][C]170.169902201598[/C][C]116.539360663040[/C][/ROW]
[ROW][C]0.6[/C][C]190.260647619363[/C][C]115.971870507481[/C][/ROW]
[ROW][C]0.61[/C][C]210.397092261356[/C][C]115.805947393895[/C][/ROW]
[ROW][C]0.62[/C][C]230.652674007623[/C][C]116.049412158875[/C][/ROW]
[ROW][C]0.63[/C][C]251.100532272478[/C][C]116.683325006330[/C][/ROW]
[ROW][C]0.64[/C][C]271.808635690714[/C][C]117.660786080945[/C][/ROW]
[ROW][C]0.65[/C][C]292.835162197513[/C][C]118.907140939989[/C][/ROW]
[ROW][C]0.66[/C][C]314.224372302141[/C][C]120.321611990161[/C][/ROW]
[ROW][C]0.67[/C][C]336.003362317387[/C][C]121.783611263201[/C][/ROW]
[ROW][C]0.68[/C][C]358.180209160839[/C][C]123.159405689157[/C][/ROW]
[ROW][C]0.69[/C][C]380.744066671929[/C][C]124.318243197667[/C][/ROW]
[ROW][C]0.7[/C][C]403.667703656762[/C][C]125.146651239251[/C][/ROW]
[ROW][C]0.71[/C][C]426.912771235135[/C][C]125.566922087625[/C][/ROW]
[ROW][C]0.72[/C][C]450.437770951436[/C][C]125.553014818356[/C][/ROW]
[ROW][C]0.73[/C][C]474.20831827934[/C][C]125.143304932251[/C][/ROW]
[ROW][C]0.74[/C][C]498.208932273281[/C][C]124.446616009207[/C][/ROW]
[ROW][C]0.75[/C][C]522.455301315862[/C][C]123.640751351928[/C][/ROW]
[ROW][C]0.76[/C][C]547.005811807156[/C][C]122.96120595798[/C][/ROW]
[ROW][C]0.77[/C][C]571.971053312002[/C][C]122.684722585491[/C][/ROW]
[ROW][C]0.78[/C][C]597.519937054841[/C][C]123.102684019698[/C][/ROW]
[ROW][C]0.79[/C][C]623.88086880188[/C][C]124.492578164249[/C][/ROW]
[ROW][C]0.8[/C][C]651.336057743108[/C][C]127.085703168566[/C][/ROW]
[ROW][C]0.81[/C][C]680.206669670377[/C][C]131.027653211602[/C][/ROW]
[ROW][C]0.82[/C][C]710.82657196727[/C][C]136.328298670373[/C][/ROW]
[ROW][C]0.83[/C][C]743.503514305365[/C][C]142.799353642797[/C][/ROW]
[ROW][C]0.84[/C][C]778.469318295565[/C][C]149.991447579048[/C][/ROW]
[ROW][C]0.85[/C][C]815.825015144116[/C][C]157.164887606854[/C][/ROW]
[ROW][C]0.86[/C][C]855.491783782484[/C][C]163.330176045121[/C][/ROW]
[ROW][C]0.87[/C][C]897.181698187491[/C][C]167.38625577292[/C][/ROW]
[ROW][C]0.88[/C][C]940.40095073786[/C][C]168.341443465571[/C][/ROW]
[ROW][C]0.89[/C][C]984.491190278897[/C][C]165.562574239749[/C][/ROW]
[ROW][C]0.9[/C][C]1028.70512718169[/C][C]158.955941403266[/C][/ROW]
[ROW][C]0.91[/C][C]1072.31046262825[/C][C]148.978862930409[/C][/ROW]
[ROW][C]0.92[/C][C]1114.73594625083[/C][C]136.465392536784[/C][/ROW]
[ROW][C]0.93[/C][C]1155.82102595775[/C][C]122.402072300831[/C][/ROW]
[ROW][C]0.94[/C][C]1196.27107678618[/C][C]108.053312900959[/C][/ROW]
[ROW][C]0.95[/C][C]1238.32822636100[/C][C]96.1020094399671[/C][/ROW]
[ROW][C]0.96[/C][C]1286.2247575816[/C][C]93.4259517865995[/C][/ROW]
[ROW][C]0.97[/C][C]1345.11442986688[/C][C]111.639904884918[/C][/ROW]
[ROW][C]0.98[/C][C]1416.64147126604[/C][C]155.767108139693[/C][/ROW]
[ROW][C]0.99[/C][C]1491.44927137575[/C][C]214.047268564278[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50248&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50248&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
0.01-1225.69276030642332.398357813482
0.02-1099.46851448298269.828543885118
0.03-975.08206384479207.536180448045
0.04-874.162279192824154.273496960811
0.05-800.637081191362112.513030486844
0.06-749.63007232952482.6477537404896
0.07-714.25818579638463.9949764681605
0.08-688.6175058871854.7729885509961
0.09-668.46250010114352.4102882048611
0.1-651.00146110123554.4110813088399
0.11-634.50525105992858.9775942062962
0.12-617.96572587324364.9302972828656
0.13-600.85208464307571.3977764404409
0.14-582.95262619295777.6473153089184
0.15-564.27406364162283.0534075864022
0.16-544.97209216966587.1451596370305
0.17-525.29546417618689.6532538821074
0.18-505.53576638789090.5295866205966
0.19-485.98269554474689.9304604363148
0.2-466.88832824481488.1639480149999
0.21-448.44397202178585.618684677919
0.22-430.77101283767582.6796948772551
0.23-413.9243136702479.6659855375
0.24-397.90442101174676.7911400704352
0.25-382.67377981242074.15649939843
0.26-368.17244393680471.7810084060588
0.27-354.33006960148669.6414563091407
0.28-341.07274790968367.7166349169035
0.29-328.32491592724866.019883661681
0.3-316.0077770442964.6091870847176
0.31-304.03617715068863.5811397139876
0.32-292.31576088312763.0501102669428
0.33-280.74166873260763.1285270407505
0.34-269.19929689722163.8984237524935
0.35-257.56697379235865.4036363465059
0.36-245.71997433687467.6450437166018
0.37-233.53515158423970.5885931795503
0.38-220.89557216747874.1751583930911
0.39-207.69479013338378.3292620575978
0.4-193.84065642251682.9599716797691
0.41-179.25873418463187.9620130936358
0.42-163.89541932747893.20967540494
0.43-147.72075687996998.5546434709342
0.44-130.730753239955103.828429571683
0.45-112.948796457141108.846508317099
0.46-94.42569482224113.422508463555
0.47-75.2378842627633117.384616186912
0.48-55.4835489532619120.593008620303
0.49-35.2767108406790122.956170219163
0.5-14.7396991338918124.442708948628
0.516.0052786738957125.084388966581
0.5226.8445557868633124.972912302657
0.5347.6804898621898124.247811810204
0.5468.4372415517213123.079894055264
0.5589.0643632671132121.652036843404
0.56109.53805709972120.141388216600
0.57129.860281421505118.705108255415
0.58150.056116277079117.472245624665
0.59170.169902201598116.539360663040
0.6190.260647619363115.971870507481
0.61210.397092261356115.805947393895
0.62230.652674007623116.049412158875
0.63251.100532272478116.683325006330
0.64271.808635690714117.660786080945
0.65292.835162197513118.907140939989
0.66314.224372302141120.321611990161
0.67336.003362317387121.783611263201
0.68358.180209160839123.159405689157
0.69380.744066671929124.318243197667
0.7403.667703656762125.146651239251
0.71426.912771235135125.566922087625
0.72450.437770951436125.553014818356
0.73474.20831827934125.143304932251
0.74498.208932273281124.446616009207
0.75522.455301315862123.640751351928
0.76547.005811807156122.96120595798
0.77571.971053312002122.684722585491
0.78597.519937054841123.102684019698
0.79623.88086880188124.492578164249
0.8651.336057743108127.085703168566
0.81680.206669670377131.027653211602
0.82710.82657196727136.328298670373
0.83743.503514305365142.799353642797
0.84778.469318295565149.991447579048
0.85815.825015144116157.164887606854
0.86855.491783782484163.330176045121
0.87897.181698187491167.38625577292
0.88940.40095073786168.341443465571
0.89984.491190278897165.562574239749
0.91028.70512718169158.955941403266
0.911072.31046262825148.978862930409
0.921114.73594625083136.465392536784
0.931155.82102595775122.402072300831
0.941196.27107678618108.053312900959
0.951238.3282263610096.1020094399671
0.961286.224757581693.4259517865995
0.971345.11442986688111.639904884918
0.981416.64147126604155.767108139693
0.991491.44927137575214.047268564278


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):
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')