FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 03 Mar 2011 09:18:11 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Mar/03/t1299143775ayiax0cse9mufs5.htm/, Retrieved Tue, 14 May 2024 22:14:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119652, Retrieved Tue, 14 May 2024 22:14:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact152

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [percentielentabel...] [2011-03-03 09:18:11] [0d1e0b2127d7a24abba9de0261e65ede] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
126.304
125.511
125.495
130.133
126.257
110.323
98.417
105.749
120.665
124.075
127.245
146.731
144.979
148.210
144.670
142.970
142.524
146.142
146.522
148.128
148.798
150.181
152.388
155.694
160.662
155.520
158.262
154.338
158.196
160.371
154.856
150.636
145.899
141.242
140.834
141.119
139.104
134.437
129.425
123.155
119.273
120.472
121.523
121.983
123.658
124.794
124.827
120.382
117.395
115.790
114.283
117.271
117.448
118.764
120.550
123.554
125.412
124.182
119.828
115.361
114.226
115.214
115.864
114.276
113.469
114.883
114.172
111.225
112.149
115.618
118.002
121.382
120.663

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'Gwilym Jenkins' @ www.wessa.org

\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' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119652&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' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119652&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119652&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'Gwilym Jenkins' @ www.wessa.org






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01100.6772940010616.3168494086823
0.02103.8535953389675.07665332271756
0.03106.7580638821453.91318376822007
0.04108.9508620261342.96497349039348
0.05110.4908192830832.28131631791295
0.06111.5712293089411.83138746951902
0.07112.3554449628051.52521624535883
0.08112.9477309888621.28624282148925
0.09113.4089992920461.08424735192793
0.1113.7765978220590.92111082015195
0.11114.0771025362260.807680044428943
0.12114.3320154293140.748500435848124
0.13114.5592171054880.737093458898248
0.14114.7728877213180.76054645862228
0.15114.9834567307370.806736792316767
0.16115.1980413030460.867720237696717
0.17115.4212118850220.938922460124316
0.18115.6557643777711.01740064867873
0.19115.9032812313881.10056696260668
0.2116.1644320593791.1848208462407
0.21116.4390836550271.26636478701574
0.22116.7263283581451.34127734807947
0.23117.0245190575651.40590969489006
0.24117.3313556559661.45760462541271
0.25117.6440307177611.49413682724378
0.26117.959423173321.5144190572245
0.27118.2743253599481.51811334329266
0.28118.5856905659751.50605353079162
0.29118.8908871769241.4804637838457
0.3119.1879388937941.44523215563577
0.31119.4757215636251.40515043449869
0.32119.7540820471311.36587297825629
0.33120.0238484078981.33342711401019
0.34120.2867150747721.31282471372693
0.35120.5450087717981.30755506456904
0.36120.8013651579581.31822676682011
0.37121.0583656898851.34321659046671
0.38121.3181940412881.37846655718328
0.39121.5823691810751.41873773728907
0.4121.8515988891551.45850671213179
0.41122.1257767032751.4927691944312
0.42122.4041220966031.51829728340288
0.43122.685443107271.53329695604841
0.44122.9684863930731.53865341049714
0.45123.2523333699281.53751158324287
0.46123.5368020187561.53553311805539
0.47123.8228195642831.53982469585528
0.48124.1127380637571.55991477602741
0.49124.4105697538041.60637021409197
0.5124.7221198906921.69052519067596
0.51125.0549919684421.8232988117508
0.52125.418436044272.01396481402352
0.53125.8230096080062.26844534065183
0.54126.2800267635962.58872071747546
0.55126.8007892533142.97142445261269
0.56127.3956232802083.40719533366344
0.57128.0727865722063.88047212170644
0.58128.8373538175664.3699751780995
0.59129.6902251090854.84914661085299
0.6130.6274195457635.28934385272406
0.61131.6398045451755.66111494899685
0.62132.7133658466425.9391545020475
0.63133.8300468538666.10365475632691
0.64134.9690911866066.14405101165848
0.65136.1087287895436.06009839053583
0.66137.2279763116835.86205213529516
0.67138.3082959742555.56876978880477
0.68139.3348834016525.2055355898682
0.69140.2974298689364.80018959940529
0.7141.190310479614.37957940141507
0.71142.0122602290153.96718970744968
0.72142.7656868706993.58064472725723
0.73143.4558125988133.23174132124196
0.74144.0898291276232.9267882581071
0.75144.6762013041962.66840646075025
0.76145.2241826267932.45739178981219
0.77145.7435349225522.29362388116216
0.78146.2443915907842.17735191254636
0.79146.737175930012.10825157500159
0.8147.2324789029692.08545900762637
0.81147.7408050511132.10637922658977
0.82148.2721063560722.16619538907254
0.83148.8350491878662.25695360232048
0.84149.4360194150032.36644713941693
0.85150.077986707982.47807976561858
0.86150.7595192289072.57104451433695
0.87151.4744104045332.62397063552561
0.88152.2124316041892.6188620197942
0.89152.9615090233192.54874941123094
0.9153.7110662723752.42227087367463
0.91154.4555306762132.26529142053758
0.92155.1965191563492.11285126709232
0.93155.942487861271.99201101233165
0.94156.7055325962171.90501795833919
0.95157.495409116681.83149245615746
0.96158.3096879460171.74302040259548
0.97159.1185561162341.58834084598406
0.98159.8496118675231.26597699490677
0.99160.3939272936160.736039752575563

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 100.677294001061 & 6.3168494086823 \tabularnewline
0.02 & 103.853595338967 & 5.07665332271756 \tabularnewline
0.03 & 106.758063882145 & 3.91318376822007 \tabularnewline
0.04 & 108.950862026134 & 2.96497349039348 \tabularnewline
0.05 & 110.490819283083 & 2.28131631791295 \tabularnewline
0.06 & 111.571229308941 & 1.83138746951902 \tabularnewline
0.07 & 112.355444962805 & 1.52521624535883 \tabularnewline
0.08 & 112.947730988862 & 1.28624282148925 \tabularnewline
0.09 & 113.408999292046 & 1.08424735192793 \tabularnewline
0.1 & 113.776597822059 & 0.92111082015195 \tabularnewline
0.11 & 114.077102536226 & 0.807680044428943 \tabularnewline
0.12 & 114.332015429314 & 0.748500435848124 \tabularnewline
0.13 & 114.559217105488 & 0.737093458898248 \tabularnewline
0.14 & 114.772887721318 & 0.76054645862228 \tabularnewline
0.15 & 114.983456730737 & 0.806736792316767 \tabularnewline
0.16 & 115.198041303046 & 0.867720237696717 \tabularnewline
0.17 & 115.421211885022 & 0.938922460124316 \tabularnewline
0.18 & 115.655764377771 & 1.01740064867873 \tabularnewline
0.19 & 115.903281231388 & 1.10056696260668 \tabularnewline
0.2 & 116.164432059379 & 1.1848208462407 \tabularnewline
0.21 & 116.439083655027 & 1.26636478701574 \tabularnewline
0.22 & 116.726328358145 & 1.34127734807947 \tabularnewline
0.23 & 117.024519057565 & 1.40590969489006 \tabularnewline
0.24 & 117.331355655966 & 1.45760462541271 \tabularnewline
0.25 & 117.644030717761 & 1.49413682724378 \tabularnewline
0.26 & 117.95942317332 & 1.5144190572245 \tabularnewline
0.27 & 118.274325359948 & 1.51811334329266 \tabularnewline
0.28 & 118.585690565975 & 1.50605353079162 \tabularnewline
0.29 & 118.890887176924 & 1.4804637838457 \tabularnewline
0.3 & 119.187938893794 & 1.44523215563577 \tabularnewline
0.31 & 119.475721563625 & 1.40515043449869 \tabularnewline
0.32 & 119.754082047131 & 1.36587297825629 \tabularnewline
0.33 & 120.023848407898 & 1.33342711401019 \tabularnewline
0.34 & 120.286715074772 & 1.31282471372693 \tabularnewline
0.35 & 120.545008771798 & 1.30755506456904 \tabularnewline
0.36 & 120.801365157958 & 1.31822676682011 \tabularnewline
0.37 & 121.058365689885 & 1.34321659046671 \tabularnewline
0.38 & 121.318194041288 & 1.37846655718328 \tabularnewline
0.39 & 121.582369181075 & 1.41873773728907 \tabularnewline
0.4 & 121.851598889155 & 1.45850671213179 \tabularnewline
0.41 & 122.125776703275 & 1.4927691944312 \tabularnewline
0.42 & 122.404122096603 & 1.51829728340288 \tabularnewline
0.43 & 122.68544310727 & 1.53329695604841 \tabularnewline
0.44 & 122.968486393073 & 1.53865341049714 \tabularnewline
0.45 & 123.252333369928 & 1.53751158324287 \tabularnewline
0.46 & 123.536802018756 & 1.53553311805539 \tabularnewline
0.47 & 123.822819564283 & 1.53982469585528 \tabularnewline
0.48 & 124.112738063757 & 1.55991477602741 \tabularnewline
0.49 & 124.410569753804 & 1.60637021409197 \tabularnewline
0.5 & 124.722119890692 & 1.69052519067596 \tabularnewline
0.51 & 125.054991968442 & 1.8232988117508 \tabularnewline
0.52 & 125.41843604427 & 2.01396481402352 \tabularnewline
0.53 & 125.823009608006 & 2.26844534065183 \tabularnewline
0.54 & 126.280026763596 & 2.58872071747546 \tabularnewline
0.55 & 126.800789253314 & 2.97142445261269 \tabularnewline
0.56 & 127.395623280208 & 3.40719533366344 \tabularnewline
0.57 & 128.072786572206 & 3.88047212170644 \tabularnewline
0.58 & 128.837353817566 & 4.3699751780995 \tabularnewline
0.59 & 129.690225109085 & 4.84914661085299 \tabularnewline
0.6 & 130.627419545763 & 5.28934385272406 \tabularnewline
0.61 & 131.639804545175 & 5.66111494899685 \tabularnewline
0.62 & 132.713365846642 & 5.9391545020475 \tabularnewline
0.63 & 133.830046853866 & 6.10365475632691 \tabularnewline
0.64 & 134.969091186606 & 6.14405101165848 \tabularnewline
0.65 & 136.108728789543 & 6.06009839053583 \tabularnewline
0.66 & 137.227976311683 & 5.86205213529516 \tabularnewline
0.67 & 138.308295974255 & 5.56876978880477 \tabularnewline
0.68 & 139.334883401652 & 5.2055355898682 \tabularnewline
0.69 & 140.297429868936 & 4.80018959940529 \tabularnewline
0.7 & 141.19031047961 & 4.37957940141507 \tabularnewline
0.71 & 142.012260229015 & 3.96718970744968 \tabularnewline
0.72 & 142.765686870699 & 3.58064472725723 \tabularnewline
0.73 & 143.455812598813 & 3.23174132124196 \tabularnewline
0.74 & 144.089829127623 & 2.9267882581071 \tabularnewline
0.75 & 144.676201304196 & 2.66840646075025 \tabularnewline
0.76 & 145.224182626793 & 2.45739178981219 \tabularnewline
0.77 & 145.743534922552 & 2.29362388116216 \tabularnewline
0.78 & 146.244391590784 & 2.17735191254636 \tabularnewline
0.79 & 146.73717593001 & 2.10825157500159 \tabularnewline
0.8 & 147.232478902969 & 2.08545900762637 \tabularnewline
0.81 & 147.740805051113 & 2.10637922658977 \tabularnewline
0.82 & 148.272106356072 & 2.16619538907254 \tabularnewline
0.83 & 148.835049187866 & 2.25695360232048 \tabularnewline
0.84 & 149.436019415003 & 2.36644713941693 \tabularnewline
0.85 & 150.07798670798 & 2.47807976561858 \tabularnewline
0.86 & 150.759519228907 & 2.57104451433695 \tabularnewline
0.87 & 151.474410404533 & 2.62397063552561 \tabularnewline
0.88 & 152.212431604189 & 2.6188620197942 \tabularnewline
0.89 & 152.961509023319 & 2.54874941123094 \tabularnewline
0.9 & 153.711066272375 & 2.42227087367463 \tabularnewline
0.91 & 154.455530676213 & 2.26529142053758 \tabularnewline
0.92 & 155.196519156349 & 2.11285126709232 \tabularnewline
0.93 & 155.94248786127 & 1.99201101233165 \tabularnewline
0.94 & 156.705532596217 & 1.90501795833919 \tabularnewline
0.95 & 157.49540911668 & 1.83149245615746 \tabularnewline
0.96 & 158.309687946017 & 1.74302040259548 \tabularnewline
0.97 & 159.118556116234 & 1.58834084598406 \tabularnewline
0.98 & 159.849611867523 & 1.26597699490677 \tabularnewline
0.99 & 160.393927293616 & 0.736039752575563 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119652&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]100.677294001061[/C][C]6.3168494086823[/C][/ROW]
[ROW][C]0.02[/C][C]103.853595338967[/C][C]5.07665332271756[/C][/ROW]
[ROW][C]0.03[/C][C]106.758063882145[/C][C]3.91318376822007[/C][/ROW]
[ROW][C]0.04[/C][C]108.950862026134[/C][C]2.96497349039348[/C][/ROW]
[ROW][C]0.05[/C][C]110.490819283083[/C][C]2.28131631791295[/C][/ROW]
[ROW][C]0.06[/C][C]111.571229308941[/C][C]1.83138746951902[/C][/ROW]
[ROW][C]0.07[/C][C]112.355444962805[/C][C]1.52521624535883[/C][/ROW]
[ROW][C]0.08[/C][C]112.947730988862[/C][C]1.28624282148925[/C][/ROW]
[ROW][C]0.09[/C][C]113.408999292046[/C][C]1.08424735192793[/C][/ROW]
[ROW][C]0.1[/C][C]113.776597822059[/C][C]0.92111082015195[/C][/ROW]
[ROW][C]0.11[/C][C]114.077102536226[/C][C]0.807680044428943[/C][/ROW]
[ROW][C]0.12[/C][C]114.332015429314[/C][C]0.748500435848124[/C][/ROW]
[ROW][C]0.13[/C][C]114.559217105488[/C][C]0.737093458898248[/C][/ROW]
[ROW][C]0.14[/C][C]114.772887721318[/C][C]0.76054645862228[/C][/ROW]
[ROW][C]0.15[/C][C]114.983456730737[/C][C]0.806736792316767[/C][/ROW]
[ROW][C]0.16[/C][C]115.198041303046[/C][C]0.867720237696717[/C][/ROW]
[ROW][C]0.17[/C][C]115.421211885022[/C][C]0.938922460124316[/C][/ROW]
[ROW][C]0.18[/C][C]115.655764377771[/C][C]1.01740064867873[/C][/ROW]
[ROW][C]0.19[/C][C]115.903281231388[/C][C]1.10056696260668[/C][/ROW]
[ROW][C]0.2[/C][C]116.164432059379[/C][C]1.1848208462407[/C][/ROW]
[ROW][C]0.21[/C][C]116.439083655027[/C][C]1.26636478701574[/C][/ROW]
[ROW][C]0.22[/C][C]116.726328358145[/C][C]1.34127734807947[/C][/ROW]
[ROW][C]0.23[/C][C]117.024519057565[/C][C]1.40590969489006[/C][/ROW]
[ROW][C]0.24[/C][C]117.331355655966[/C][C]1.45760462541271[/C][/ROW]
[ROW][C]0.25[/C][C]117.644030717761[/C][C]1.49413682724378[/C][/ROW]
[ROW][C]0.26[/C][C]117.95942317332[/C][C]1.5144190572245[/C][/ROW]
[ROW][C]0.27[/C][C]118.274325359948[/C][C]1.51811334329266[/C][/ROW]
[ROW][C]0.28[/C][C]118.585690565975[/C][C]1.50605353079162[/C][/ROW]
[ROW][C]0.29[/C][C]118.890887176924[/C][C]1.4804637838457[/C][/ROW]
[ROW][C]0.3[/C][C]119.187938893794[/C][C]1.44523215563577[/C][/ROW]
[ROW][C]0.31[/C][C]119.475721563625[/C][C]1.40515043449869[/C][/ROW]
[ROW][C]0.32[/C][C]119.754082047131[/C][C]1.36587297825629[/C][/ROW]
[ROW][C]0.33[/C][C]120.023848407898[/C][C]1.33342711401019[/C][/ROW]
[ROW][C]0.34[/C][C]120.286715074772[/C][C]1.31282471372693[/C][/ROW]
[ROW][C]0.35[/C][C]120.545008771798[/C][C]1.30755506456904[/C][/ROW]
[ROW][C]0.36[/C][C]120.801365157958[/C][C]1.31822676682011[/C][/ROW]
[ROW][C]0.37[/C][C]121.058365689885[/C][C]1.34321659046671[/C][/ROW]
[ROW][C]0.38[/C][C]121.318194041288[/C][C]1.37846655718328[/C][/ROW]
[ROW][C]0.39[/C][C]121.582369181075[/C][C]1.41873773728907[/C][/ROW]
[ROW][C]0.4[/C][C]121.851598889155[/C][C]1.45850671213179[/C][/ROW]
[ROW][C]0.41[/C][C]122.125776703275[/C][C]1.4927691944312[/C][/ROW]
[ROW][C]0.42[/C][C]122.404122096603[/C][C]1.51829728340288[/C][/ROW]
[ROW][C]0.43[/C][C]122.68544310727[/C][C]1.53329695604841[/C][/ROW]
[ROW][C]0.44[/C][C]122.968486393073[/C][C]1.53865341049714[/C][/ROW]
[ROW][C]0.45[/C][C]123.252333369928[/C][C]1.53751158324287[/C][/ROW]
[ROW][C]0.46[/C][C]123.536802018756[/C][C]1.53553311805539[/C][/ROW]
[ROW][C]0.47[/C][C]123.822819564283[/C][C]1.53982469585528[/C][/ROW]
[ROW][C]0.48[/C][C]124.112738063757[/C][C]1.55991477602741[/C][/ROW]
[ROW][C]0.49[/C][C]124.410569753804[/C][C]1.60637021409197[/C][/ROW]
[ROW][C]0.5[/C][C]124.722119890692[/C][C]1.69052519067596[/C][/ROW]
[ROW][C]0.51[/C][C]125.054991968442[/C][C]1.8232988117508[/C][/ROW]
[ROW][C]0.52[/C][C]125.41843604427[/C][C]2.01396481402352[/C][/ROW]
[ROW][C]0.53[/C][C]125.823009608006[/C][C]2.26844534065183[/C][/ROW]
[ROW][C]0.54[/C][C]126.280026763596[/C][C]2.58872071747546[/C][/ROW]
[ROW][C]0.55[/C][C]126.800789253314[/C][C]2.97142445261269[/C][/ROW]
[ROW][C]0.56[/C][C]127.395623280208[/C][C]3.40719533366344[/C][/ROW]
[ROW][C]0.57[/C][C]128.072786572206[/C][C]3.88047212170644[/C][/ROW]
[ROW][C]0.58[/C][C]128.837353817566[/C][C]4.3699751780995[/C][/ROW]
[ROW][C]0.59[/C][C]129.690225109085[/C][C]4.84914661085299[/C][/ROW]
[ROW][C]0.6[/C][C]130.627419545763[/C][C]5.28934385272406[/C][/ROW]
[ROW][C]0.61[/C][C]131.639804545175[/C][C]5.66111494899685[/C][/ROW]
[ROW][C]0.62[/C][C]132.713365846642[/C][C]5.9391545020475[/C][/ROW]
[ROW][C]0.63[/C][C]133.830046853866[/C][C]6.10365475632691[/C][/ROW]
[ROW][C]0.64[/C][C]134.969091186606[/C][C]6.14405101165848[/C][/ROW]
[ROW][C]0.65[/C][C]136.108728789543[/C][C]6.06009839053583[/C][/ROW]
[ROW][C]0.66[/C][C]137.227976311683[/C][C]5.86205213529516[/C][/ROW]
[ROW][C]0.67[/C][C]138.308295974255[/C][C]5.56876978880477[/C][/ROW]
[ROW][C]0.68[/C][C]139.334883401652[/C][C]5.2055355898682[/C][/ROW]
[ROW][C]0.69[/C][C]140.297429868936[/C][C]4.80018959940529[/C][/ROW]
[ROW][C]0.7[/C][C]141.19031047961[/C][C]4.37957940141507[/C][/ROW]
[ROW][C]0.71[/C][C]142.012260229015[/C][C]3.96718970744968[/C][/ROW]
[ROW][C]0.72[/C][C]142.765686870699[/C][C]3.58064472725723[/C][/ROW]
[ROW][C]0.73[/C][C]143.455812598813[/C][C]3.23174132124196[/C][/ROW]
[ROW][C]0.74[/C][C]144.089829127623[/C][C]2.9267882581071[/C][/ROW]
[ROW][C]0.75[/C][C]144.676201304196[/C][C]2.66840646075025[/C][/ROW]
[ROW][C]0.76[/C][C]145.224182626793[/C][C]2.45739178981219[/C][/ROW]
[ROW][C]0.77[/C][C]145.743534922552[/C][C]2.29362388116216[/C][/ROW]
[ROW][C]0.78[/C][C]146.244391590784[/C][C]2.17735191254636[/C][/ROW]
[ROW][C]0.79[/C][C]146.73717593001[/C][C]2.10825157500159[/C][/ROW]
[ROW][C]0.8[/C][C]147.232478902969[/C][C]2.08545900762637[/C][/ROW]
[ROW][C]0.81[/C][C]147.740805051113[/C][C]2.10637922658977[/C][/ROW]
[ROW][C]0.82[/C][C]148.272106356072[/C][C]2.16619538907254[/C][/ROW]
[ROW][C]0.83[/C][C]148.835049187866[/C][C]2.25695360232048[/C][/ROW]
[ROW][C]0.84[/C][C]149.436019415003[/C][C]2.36644713941693[/C][/ROW]
[ROW][C]0.85[/C][C]150.07798670798[/C][C]2.47807976561858[/C][/ROW]
[ROW][C]0.86[/C][C]150.759519228907[/C][C]2.57104451433695[/C][/ROW]
[ROW][C]0.87[/C][C]151.474410404533[/C][C]2.62397063552561[/C][/ROW]
[ROW][C]0.88[/C][C]152.212431604189[/C][C]2.6188620197942[/C][/ROW]
[ROW][C]0.89[/C][C]152.961509023319[/C][C]2.54874941123094[/C][/ROW]
[ROW][C]0.9[/C][C]153.711066272375[/C][C]2.42227087367463[/C][/ROW]
[ROW][C]0.91[/C][C]154.455530676213[/C][C]2.26529142053758[/C][/ROW]
[ROW][C]0.92[/C][C]155.196519156349[/C][C]2.11285126709232[/C][/ROW]
[ROW][C]0.93[/C][C]155.94248786127[/C][C]1.99201101233165[/C][/ROW]
[ROW][C]0.94[/C][C]156.705532596217[/C][C]1.90501795833919[/C][/ROW]
[ROW][C]0.95[/C][C]157.49540911668[/C][C]1.83149245615746[/C][/ROW]
[ROW][C]0.96[/C][C]158.309687946017[/C][C]1.74302040259548[/C][/ROW]
[ROW][C]0.97[/C][C]159.118556116234[/C][C]1.58834084598406[/C][/ROW]
[ROW][C]0.98[/C][C]159.849611867523[/C][C]1.26597699490677[/C][/ROW]
[ROW][C]0.99[/C][C]160.393927293616[/C][C]0.736039752575563[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119652&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119652&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
0.01100.6772940010616.3168494086823
0.02103.8535953389675.07665332271756
0.03106.7580638821453.91318376822007
0.04108.9508620261342.96497349039348
0.05110.4908192830832.28131631791295
0.06111.5712293089411.83138746951902
0.07112.3554449628051.52521624535883
0.08112.9477309888621.28624282148925
0.09113.4089992920461.08424735192793
0.1113.7765978220590.92111082015195
0.11114.0771025362260.807680044428943
0.12114.3320154293140.748500435848124
0.13114.5592171054880.737093458898248
0.14114.7728877213180.76054645862228
0.15114.9834567307370.806736792316767
0.16115.1980413030460.867720237696717
0.17115.4212118850220.938922460124316
0.18115.6557643777711.01740064867873
0.19115.9032812313881.10056696260668
0.2116.1644320593791.1848208462407
0.21116.4390836550271.26636478701574
0.22116.7263283581451.34127734807947
0.23117.0245190575651.40590969489006
0.24117.3313556559661.45760462541271
0.25117.6440307177611.49413682724378
0.26117.959423173321.5144190572245
0.27118.2743253599481.51811334329266
0.28118.5856905659751.50605353079162
0.29118.8908871769241.4804637838457
0.3119.1879388937941.44523215563577
0.31119.4757215636251.40515043449869
0.32119.7540820471311.36587297825629
0.33120.0238484078981.33342711401019
0.34120.2867150747721.31282471372693
0.35120.5450087717981.30755506456904
0.36120.8013651579581.31822676682011
0.37121.0583656898851.34321659046671
0.38121.3181940412881.37846655718328
0.39121.5823691810751.41873773728907
0.4121.8515988891551.45850671213179
0.41122.1257767032751.4927691944312
0.42122.4041220966031.51829728340288
0.43122.685443107271.53329695604841
0.44122.9684863930731.53865341049714
0.45123.2523333699281.53751158324287
0.46123.5368020187561.53553311805539
0.47123.8228195642831.53982469585528
0.48124.1127380637571.55991477602741
0.49124.4105697538041.60637021409197
0.5124.7221198906921.69052519067596
0.51125.0549919684421.8232988117508
0.52125.418436044272.01396481402352
0.53125.8230096080062.26844534065183
0.54126.2800267635962.58872071747546
0.55126.8007892533142.97142445261269
0.56127.3956232802083.40719533366344
0.57128.0727865722063.88047212170644
0.58128.8373538175664.3699751780995
0.59129.6902251090854.84914661085299
0.6130.6274195457635.28934385272406
0.61131.6398045451755.66111494899685
0.62132.7133658466425.9391545020475
0.63133.8300468538666.10365475632691
0.64134.9690911866066.14405101165848
0.65136.1087287895436.06009839053583
0.66137.2279763116835.86205213529516
0.67138.3082959742555.56876978880477
0.68139.3348834016525.2055355898682
0.69140.2974298689364.80018959940529
0.7141.190310479614.37957940141507
0.71142.0122602290153.96718970744968
0.72142.7656868706993.58064472725723
0.73143.4558125988133.23174132124196
0.74144.0898291276232.9267882581071
0.75144.6762013041962.66840646075025
0.76145.2241826267932.45739178981219
0.77145.7435349225522.29362388116216
0.78146.2443915907842.17735191254636
0.79146.737175930012.10825157500159
0.8147.2324789029692.08545900762637
0.81147.7408050511132.10637922658977
0.82148.2721063560722.16619538907254
0.83148.8350491878662.25695360232048
0.84149.4360194150032.36644713941693
0.85150.077986707982.47807976561858
0.86150.7595192289072.57104451433695
0.87151.4744104045332.62397063552561
0.88152.2124316041892.6188620197942
0.89152.9615090233192.54874941123094
0.9153.7110662723752.42227087367463
0.91154.4555306762132.26529142053758
0.92155.1965191563492.11285126709232
0.93155.942487861271.99201101233165
0.94156.7055325962171.90501795833919
0.95157.495409116681.83149245615746
0.96158.3096879460171.74302040259548
0.97159.1185561162341.58834084598406
0.98159.8496118675231.26597699490677
0.99160.3939272936160.736039752575563


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')