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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, 02 May 2013 04:34:51 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/May/02/t13674837291sd3e9kys5mhs3d.htm/, Retrieved Mon, 20 Apr 2026 23:44:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=208658, Retrieved Mon, 20 Apr 2026 23:44:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact312

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] [] [2013-05-02 08:34:51] [6c59e828142382ec266fd8d68378aa9e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
105.28
107
106.29
108.07
105.41
104.4
102.77
102.44
103.43
102.95
103.52
105.2
105.88
104.88
106.59
107.8
106.31
106.53
106.25
105.87
107.83
108.01
107.9
108.55
108.83
109.39
108.65
108.33
109.76
110.07
109.23
108.4
108.9
109.14
109.27
109.38
109.66
109.87
109.98
111.24
110.03
111.43
110.28
109.53
111.97
111.89
112.93
113.11
112.95
114.08
115.27
114.73
114.97
113.78
113.7
113.91
114.22
115.32
113.5
115.35
113.23
113.65
114.82
113.54
113.97
113.79
113.27
114.35
113.68
115.3
113.69
115.31

Tables (Output of Computation)





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=208658&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=208658&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=208658&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01102.5522492880650.313513812307841
0.02102.7359462720060.348788362100218
0.03102.9555395596610.441716338493541
0.04103.1975498183630.557446176690118
0.05103.4593216145130.666760637420175
0.06103.736744543110.750230928638191
0.07104.0213227551210.79535818057639
0.08104.3023454598730.799621699933279
0.09104.5699769232480.770839721298862
0.1104.8174712617940.723232099638767
0.11105.0419891069370.671570742268244
0.12105.2441536744280.626537996739626
0.13105.4268850025230.592915566372177
0.14105.5941382470080.571128842326265
0.15105.7499729579060.560006257582098
0.16105.8980760191240.55818397752609
0.17106.041629147270.565394539195103
0.18106.1833260759270.581687708671897
0.19106.3253809275080.605888476481839
0.2106.4694614386580.635938806982915
0.21106.6165675653150.667867611289187
0.22106.766923520210.697316749943405
0.23106.9199533283460.720014602008412
0.24107.0743790169930.732640901614501
0.25107.2284366533430.733524393529975
0.26107.3801673454380.722852731018566
0.27107.5277200540170.702313284924575
0.28107.669604092320.674700677863696
0.29107.8048475320460.64350983525706
0.3107.9330449483290.611900647487072
0.31108.0543047458970.582343406401328
0.32108.1691255999650.556713117435255
0.33108.2782399808420.535387077203221
0.34108.382460779540.518238123882859
0.35108.4825578362650.504355332441146
0.36108.5791788302130.4928526085104
0.37108.6728172079770.482742791319363
0.38108.7638209958870.473079263852835
0.39108.8524313584830.463623276850315
0.4108.938838352910.454427395109853
0.41109.0232425433120.445557509314574
0.42109.1059138402320.437910477636669
0.43109.1872420808360.432387909956261
0.44109.2677766635730.429908313382274
0.45109.3482544543670.431812247451588
0.46109.4296159171540.439298387338071
0.47109.5130090032690.453673623307155
0.48109.5997790833710.476135834624945
0.49109.6914417289350.507721536540511
0.5109.7896342313620.548878991510953
0.51109.8960421466540.599662162906777
0.52110.0122993635640.659473243275301
0.53110.1398642164040.726953096611993
0.54110.2798794160420.799680334622955
0.55110.4330289570320.874458664189362
0.56110.599409314530.947664723006092
0.57110.7784339063741.01491909283204
0.58110.9687881544831.07251967299851
0.59111.1684474330521.11612546066467
0.6111.3747624047411.14307411452772
0.61111.5846070167761.15096530021903
0.62111.794575395881.13922483628131
0.63112.001206677451.10830072213759
0.64112.2012127361981.0598142746484
0.65112.3916835979070.996616212730785
0.66112.5702490663640.922180954216986
0.67112.7351821582940.84027354392423
0.68112.885439052320.754977361505328
0.69113.0206397553910.66974390595843
0.7113.1410017781860.587694299270904
0.71113.2472442504040.511197301062471
0.72113.3404811969080.441958906018962
0.73113.4221201508920.381050880391087
0.74113.493776875630.32899543111005
0.75113.5572103854870.286289154386965
0.76113.614276573750.25297029067412
0.77113.6668950042120.229151497860299
0.78113.7170222864420.214940783350888
0.79113.7666262917530.209953169350591
0.8113.8176568356460.213727583731518
0.81113.8720088752490.22542720806194
0.82113.9314731931860.243692610254566
0.83113.9976680069850.267269420826221
0.84114.0719454063960.294579116916673
0.85114.1552714006750.323586807687791
0.86114.248087695050.351750345546423
0.87114.3501730197570.376239544853907
0.88114.4605249518060.393941134400508
0.89114.577275752580.402160223612293
0.9114.6976449747230.398664514598755
0.91114.8179379215460.381880572888382
0.92114.9336421769270.350780826477756
0.93115.0397431624430.30546125050181
0.94115.13140846540.247796622631187
0.95115.205080808170.183036598530104
0.96115.2597162815770.119811692638237
0.97115.2974809416410.0682121542064242
0.98115.322937120150.0365228490727884
0.99115.3402263517750.0274862082783581

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 102.552249288065 & 0.313513812307841 \tabularnewline
0.02 & 102.735946272006 & 0.348788362100218 \tabularnewline
0.03 & 102.955539559661 & 0.441716338493541 \tabularnewline
0.04 & 103.197549818363 & 0.557446176690118 \tabularnewline
0.05 & 103.459321614513 & 0.666760637420175 \tabularnewline
0.06 & 103.73674454311 & 0.750230928638191 \tabularnewline
0.07 & 104.021322755121 & 0.79535818057639 \tabularnewline
0.08 & 104.302345459873 & 0.799621699933279 \tabularnewline
0.09 & 104.569976923248 & 0.770839721298862 \tabularnewline
0.1 & 104.817471261794 & 0.723232099638767 \tabularnewline
0.11 & 105.041989106937 & 0.671570742268244 \tabularnewline
0.12 & 105.244153674428 & 0.626537996739626 \tabularnewline
0.13 & 105.426885002523 & 0.592915566372177 \tabularnewline
0.14 & 105.594138247008 & 0.571128842326265 \tabularnewline
0.15 & 105.749972957906 & 0.560006257582098 \tabularnewline
0.16 & 105.898076019124 & 0.55818397752609 \tabularnewline
0.17 & 106.04162914727 & 0.565394539195103 \tabularnewline
0.18 & 106.183326075927 & 0.581687708671897 \tabularnewline
0.19 & 106.325380927508 & 0.605888476481839 \tabularnewline
0.2 & 106.469461438658 & 0.635938806982915 \tabularnewline
0.21 & 106.616567565315 & 0.667867611289187 \tabularnewline
0.22 & 106.76692352021 & 0.697316749943405 \tabularnewline
0.23 & 106.919953328346 & 0.720014602008412 \tabularnewline
0.24 & 107.074379016993 & 0.732640901614501 \tabularnewline
0.25 & 107.228436653343 & 0.733524393529975 \tabularnewline
0.26 & 107.380167345438 & 0.722852731018566 \tabularnewline
0.27 & 107.527720054017 & 0.702313284924575 \tabularnewline
0.28 & 107.66960409232 & 0.674700677863696 \tabularnewline
0.29 & 107.804847532046 & 0.64350983525706 \tabularnewline
0.3 & 107.933044948329 & 0.611900647487072 \tabularnewline
0.31 & 108.054304745897 & 0.582343406401328 \tabularnewline
0.32 & 108.169125599965 & 0.556713117435255 \tabularnewline
0.33 & 108.278239980842 & 0.535387077203221 \tabularnewline
0.34 & 108.38246077954 & 0.518238123882859 \tabularnewline
0.35 & 108.482557836265 & 0.504355332441146 \tabularnewline
0.36 & 108.579178830213 & 0.4928526085104 \tabularnewline
0.37 & 108.672817207977 & 0.482742791319363 \tabularnewline
0.38 & 108.763820995887 & 0.473079263852835 \tabularnewline
0.39 & 108.852431358483 & 0.463623276850315 \tabularnewline
0.4 & 108.93883835291 & 0.454427395109853 \tabularnewline
0.41 & 109.023242543312 & 0.445557509314574 \tabularnewline
0.42 & 109.105913840232 & 0.437910477636669 \tabularnewline
0.43 & 109.187242080836 & 0.432387909956261 \tabularnewline
0.44 & 109.267776663573 & 0.429908313382274 \tabularnewline
0.45 & 109.348254454367 & 0.431812247451588 \tabularnewline
0.46 & 109.429615917154 & 0.439298387338071 \tabularnewline
0.47 & 109.513009003269 & 0.453673623307155 \tabularnewline
0.48 & 109.599779083371 & 0.476135834624945 \tabularnewline
0.49 & 109.691441728935 & 0.507721536540511 \tabularnewline
0.5 & 109.789634231362 & 0.548878991510953 \tabularnewline
0.51 & 109.896042146654 & 0.599662162906777 \tabularnewline
0.52 & 110.012299363564 & 0.659473243275301 \tabularnewline
0.53 & 110.139864216404 & 0.726953096611993 \tabularnewline
0.54 & 110.279879416042 & 0.799680334622955 \tabularnewline
0.55 & 110.433028957032 & 0.874458664189362 \tabularnewline
0.56 & 110.59940931453 & 0.947664723006092 \tabularnewline
0.57 & 110.778433906374 & 1.01491909283204 \tabularnewline
0.58 & 110.968788154483 & 1.07251967299851 \tabularnewline
0.59 & 111.168447433052 & 1.11612546066467 \tabularnewline
0.6 & 111.374762404741 & 1.14307411452772 \tabularnewline
0.61 & 111.584607016776 & 1.15096530021903 \tabularnewline
0.62 & 111.79457539588 & 1.13922483628131 \tabularnewline
0.63 & 112.00120667745 & 1.10830072213759 \tabularnewline
0.64 & 112.201212736198 & 1.0598142746484 \tabularnewline
0.65 & 112.391683597907 & 0.996616212730785 \tabularnewline
0.66 & 112.570249066364 & 0.922180954216986 \tabularnewline
0.67 & 112.735182158294 & 0.84027354392423 \tabularnewline
0.68 & 112.88543905232 & 0.754977361505328 \tabularnewline
0.69 & 113.020639755391 & 0.66974390595843 \tabularnewline
0.7 & 113.141001778186 & 0.587694299270904 \tabularnewline
0.71 & 113.247244250404 & 0.511197301062471 \tabularnewline
0.72 & 113.340481196908 & 0.441958906018962 \tabularnewline
0.73 & 113.422120150892 & 0.381050880391087 \tabularnewline
0.74 & 113.49377687563 & 0.32899543111005 \tabularnewline
0.75 & 113.557210385487 & 0.286289154386965 \tabularnewline
0.76 & 113.61427657375 & 0.25297029067412 \tabularnewline
0.77 & 113.666895004212 & 0.229151497860299 \tabularnewline
0.78 & 113.717022286442 & 0.214940783350888 \tabularnewline
0.79 & 113.766626291753 & 0.209953169350591 \tabularnewline
0.8 & 113.817656835646 & 0.213727583731518 \tabularnewline
0.81 & 113.872008875249 & 0.22542720806194 \tabularnewline
0.82 & 113.931473193186 & 0.243692610254566 \tabularnewline
0.83 & 113.997668006985 & 0.267269420826221 \tabularnewline
0.84 & 114.071945406396 & 0.294579116916673 \tabularnewline
0.85 & 114.155271400675 & 0.323586807687791 \tabularnewline
0.86 & 114.24808769505 & 0.351750345546423 \tabularnewline
0.87 & 114.350173019757 & 0.376239544853907 \tabularnewline
0.88 & 114.460524951806 & 0.393941134400508 \tabularnewline
0.89 & 114.57727575258 & 0.402160223612293 \tabularnewline
0.9 & 114.697644974723 & 0.398664514598755 \tabularnewline
0.91 & 114.817937921546 & 0.381880572888382 \tabularnewline
0.92 & 114.933642176927 & 0.350780826477756 \tabularnewline
0.93 & 115.039743162443 & 0.30546125050181 \tabularnewline
0.94 & 115.1314084654 & 0.247796622631187 \tabularnewline
0.95 & 115.20508080817 & 0.183036598530104 \tabularnewline
0.96 & 115.259716281577 & 0.119811692638237 \tabularnewline
0.97 & 115.297480941641 & 0.0682121542064242 \tabularnewline
0.98 & 115.32293712015 & 0.0365228490727884 \tabularnewline
0.99 & 115.340226351775 & 0.0274862082783581 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=208658&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]102.552249288065[/C][C]0.313513812307841[/C][/ROW]
[ROW][C]0.02[/C][C]102.735946272006[/C][C]0.348788362100218[/C][/ROW]
[ROW][C]0.03[/C][C]102.955539559661[/C][C]0.441716338493541[/C][/ROW]
[ROW][C]0.04[/C][C]103.197549818363[/C][C]0.557446176690118[/C][/ROW]
[ROW][C]0.05[/C][C]103.459321614513[/C][C]0.666760637420175[/C][/ROW]
[ROW][C]0.06[/C][C]103.73674454311[/C][C]0.750230928638191[/C][/ROW]
[ROW][C]0.07[/C][C]104.021322755121[/C][C]0.79535818057639[/C][/ROW]
[ROW][C]0.08[/C][C]104.302345459873[/C][C]0.799621699933279[/C][/ROW]
[ROW][C]0.09[/C][C]104.569976923248[/C][C]0.770839721298862[/C][/ROW]
[ROW][C]0.1[/C][C]104.817471261794[/C][C]0.723232099638767[/C][/ROW]
[ROW][C]0.11[/C][C]105.041989106937[/C][C]0.671570742268244[/C][/ROW]
[ROW][C]0.12[/C][C]105.244153674428[/C][C]0.626537996739626[/C][/ROW]
[ROW][C]0.13[/C][C]105.426885002523[/C][C]0.592915566372177[/C][/ROW]
[ROW][C]0.14[/C][C]105.594138247008[/C][C]0.571128842326265[/C][/ROW]
[ROW][C]0.15[/C][C]105.749972957906[/C][C]0.560006257582098[/C][/ROW]
[ROW][C]0.16[/C][C]105.898076019124[/C][C]0.55818397752609[/C][/ROW]
[ROW][C]0.17[/C][C]106.04162914727[/C][C]0.565394539195103[/C][/ROW]
[ROW][C]0.18[/C][C]106.183326075927[/C][C]0.581687708671897[/C][/ROW]
[ROW][C]0.19[/C][C]106.325380927508[/C][C]0.605888476481839[/C][/ROW]
[ROW][C]0.2[/C][C]106.469461438658[/C][C]0.635938806982915[/C][/ROW]
[ROW][C]0.21[/C][C]106.616567565315[/C][C]0.667867611289187[/C][/ROW]
[ROW][C]0.22[/C][C]106.76692352021[/C][C]0.697316749943405[/C][/ROW]
[ROW][C]0.23[/C][C]106.919953328346[/C][C]0.720014602008412[/C][/ROW]
[ROW][C]0.24[/C][C]107.074379016993[/C][C]0.732640901614501[/C][/ROW]
[ROW][C]0.25[/C][C]107.228436653343[/C][C]0.733524393529975[/C][/ROW]
[ROW][C]0.26[/C][C]107.380167345438[/C][C]0.722852731018566[/C][/ROW]
[ROW][C]0.27[/C][C]107.527720054017[/C][C]0.702313284924575[/C][/ROW]
[ROW][C]0.28[/C][C]107.66960409232[/C][C]0.674700677863696[/C][/ROW]
[ROW][C]0.29[/C][C]107.804847532046[/C][C]0.64350983525706[/C][/ROW]
[ROW][C]0.3[/C][C]107.933044948329[/C][C]0.611900647487072[/C][/ROW]
[ROW][C]0.31[/C][C]108.054304745897[/C][C]0.582343406401328[/C][/ROW]
[ROW][C]0.32[/C][C]108.169125599965[/C][C]0.556713117435255[/C][/ROW]
[ROW][C]0.33[/C][C]108.278239980842[/C][C]0.535387077203221[/C][/ROW]
[ROW][C]0.34[/C][C]108.38246077954[/C][C]0.518238123882859[/C][/ROW]
[ROW][C]0.35[/C][C]108.482557836265[/C][C]0.504355332441146[/C][/ROW]
[ROW][C]0.36[/C][C]108.579178830213[/C][C]0.4928526085104[/C][/ROW]
[ROW][C]0.37[/C][C]108.672817207977[/C][C]0.482742791319363[/C][/ROW]
[ROW][C]0.38[/C][C]108.763820995887[/C][C]0.473079263852835[/C][/ROW]
[ROW][C]0.39[/C][C]108.852431358483[/C][C]0.463623276850315[/C][/ROW]
[ROW][C]0.4[/C][C]108.93883835291[/C][C]0.454427395109853[/C][/ROW]
[ROW][C]0.41[/C][C]109.023242543312[/C][C]0.445557509314574[/C][/ROW]
[ROW][C]0.42[/C][C]109.105913840232[/C][C]0.437910477636669[/C][/ROW]
[ROW][C]0.43[/C][C]109.187242080836[/C][C]0.432387909956261[/C][/ROW]
[ROW][C]0.44[/C][C]109.267776663573[/C][C]0.429908313382274[/C][/ROW]
[ROW][C]0.45[/C][C]109.348254454367[/C][C]0.431812247451588[/C][/ROW]
[ROW][C]0.46[/C][C]109.429615917154[/C][C]0.439298387338071[/C][/ROW]
[ROW][C]0.47[/C][C]109.513009003269[/C][C]0.453673623307155[/C][/ROW]
[ROW][C]0.48[/C][C]109.599779083371[/C][C]0.476135834624945[/C][/ROW]
[ROW][C]0.49[/C][C]109.691441728935[/C][C]0.507721536540511[/C][/ROW]
[ROW][C]0.5[/C][C]109.789634231362[/C][C]0.548878991510953[/C][/ROW]
[ROW][C]0.51[/C][C]109.896042146654[/C][C]0.599662162906777[/C][/ROW]
[ROW][C]0.52[/C][C]110.012299363564[/C][C]0.659473243275301[/C][/ROW]
[ROW][C]0.53[/C][C]110.139864216404[/C][C]0.726953096611993[/C][/ROW]
[ROW][C]0.54[/C][C]110.279879416042[/C][C]0.799680334622955[/C][/ROW]
[ROW][C]0.55[/C][C]110.433028957032[/C][C]0.874458664189362[/C][/ROW]
[ROW][C]0.56[/C][C]110.59940931453[/C][C]0.947664723006092[/C][/ROW]
[ROW][C]0.57[/C][C]110.778433906374[/C][C]1.01491909283204[/C][/ROW]
[ROW][C]0.58[/C][C]110.968788154483[/C][C]1.07251967299851[/C][/ROW]
[ROW][C]0.59[/C][C]111.168447433052[/C][C]1.11612546066467[/C][/ROW]
[ROW][C]0.6[/C][C]111.374762404741[/C][C]1.14307411452772[/C][/ROW]
[ROW][C]0.61[/C][C]111.584607016776[/C][C]1.15096530021903[/C][/ROW]
[ROW][C]0.62[/C][C]111.79457539588[/C][C]1.13922483628131[/C][/ROW]
[ROW][C]0.63[/C][C]112.00120667745[/C][C]1.10830072213759[/C][/ROW]
[ROW][C]0.64[/C][C]112.201212736198[/C][C]1.0598142746484[/C][/ROW]
[ROW][C]0.65[/C][C]112.391683597907[/C][C]0.996616212730785[/C][/ROW]
[ROW][C]0.66[/C][C]112.570249066364[/C][C]0.922180954216986[/C][/ROW]
[ROW][C]0.67[/C][C]112.735182158294[/C][C]0.84027354392423[/C][/ROW]
[ROW][C]0.68[/C][C]112.88543905232[/C][C]0.754977361505328[/C][/ROW]
[ROW][C]0.69[/C][C]113.020639755391[/C][C]0.66974390595843[/C][/ROW]
[ROW][C]0.7[/C][C]113.141001778186[/C][C]0.587694299270904[/C][/ROW]
[ROW][C]0.71[/C][C]113.247244250404[/C][C]0.511197301062471[/C][/ROW]
[ROW][C]0.72[/C][C]113.340481196908[/C][C]0.441958906018962[/C][/ROW]
[ROW][C]0.73[/C][C]113.422120150892[/C][C]0.381050880391087[/C][/ROW]
[ROW][C]0.74[/C][C]113.49377687563[/C][C]0.32899543111005[/C][/ROW]
[ROW][C]0.75[/C][C]113.557210385487[/C][C]0.286289154386965[/C][/ROW]
[ROW][C]0.76[/C][C]113.61427657375[/C][C]0.25297029067412[/C][/ROW]
[ROW][C]0.77[/C][C]113.666895004212[/C][C]0.229151497860299[/C][/ROW]
[ROW][C]0.78[/C][C]113.717022286442[/C][C]0.214940783350888[/C][/ROW]
[ROW][C]0.79[/C][C]113.766626291753[/C][C]0.209953169350591[/C][/ROW]
[ROW][C]0.8[/C][C]113.817656835646[/C][C]0.213727583731518[/C][/ROW]
[ROW][C]0.81[/C][C]113.872008875249[/C][C]0.22542720806194[/C][/ROW]
[ROW][C]0.82[/C][C]113.931473193186[/C][C]0.243692610254566[/C][/ROW]
[ROW][C]0.83[/C][C]113.997668006985[/C][C]0.267269420826221[/C][/ROW]
[ROW][C]0.84[/C][C]114.071945406396[/C][C]0.294579116916673[/C][/ROW]
[ROW][C]0.85[/C][C]114.155271400675[/C][C]0.323586807687791[/C][/ROW]
[ROW][C]0.86[/C][C]114.24808769505[/C][C]0.351750345546423[/C][/ROW]
[ROW][C]0.87[/C][C]114.350173019757[/C][C]0.376239544853907[/C][/ROW]
[ROW][C]0.88[/C][C]114.460524951806[/C][C]0.393941134400508[/C][/ROW]
[ROW][C]0.89[/C][C]114.57727575258[/C][C]0.402160223612293[/C][/ROW]
[ROW][C]0.9[/C][C]114.697644974723[/C][C]0.398664514598755[/C][/ROW]
[ROW][C]0.91[/C][C]114.817937921546[/C][C]0.381880572888382[/C][/ROW]
[ROW][C]0.92[/C][C]114.933642176927[/C][C]0.350780826477756[/C][/ROW]
[ROW][C]0.93[/C][C]115.039743162443[/C][C]0.30546125050181[/C][/ROW]
[ROW][C]0.94[/C][C]115.1314084654[/C][C]0.247796622631187[/C][/ROW]
[ROW][C]0.95[/C][C]115.20508080817[/C][C]0.183036598530104[/C][/ROW]
[ROW][C]0.96[/C][C]115.259716281577[/C][C]0.119811692638237[/C][/ROW]
[ROW][C]0.97[/C][C]115.297480941641[/C][C]0.0682121542064242[/C][/ROW]
[ROW][C]0.98[/C][C]115.32293712015[/C][C]0.0365228490727884[/C][/ROW]
[ROW][C]0.99[/C][C]115.340226351775[/C][C]0.0274862082783581[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=208658&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=208658&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
0.01102.5522492880650.313513812307841
0.02102.7359462720060.348788362100218
0.03102.9555395596610.441716338493541
0.04103.1975498183630.557446176690118
0.05103.4593216145130.666760637420175
0.06103.736744543110.750230928638191
0.07104.0213227551210.79535818057639
0.08104.3023454598730.799621699933279
0.09104.5699769232480.770839721298862
0.1104.8174712617940.723232099638767
0.11105.0419891069370.671570742268244
0.12105.2441536744280.626537996739626
0.13105.4268850025230.592915566372177
0.14105.5941382470080.571128842326265
0.15105.7499729579060.560006257582098
0.16105.8980760191240.55818397752609
0.17106.041629147270.565394539195103
0.18106.1833260759270.581687708671897
0.19106.3253809275080.605888476481839
0.2106.4694614386580.635938806982915
0.21106.6165675653150.667867611289187
0.22106.766923520210.697316749943405
0.23106.9199533283460.720014602008412
0.24107.0743790169930.732640901614501
0.25107.2284366533430.733524393529975
0.26107.3801673454380.722852731018566
0.27107.5277200540170.702313284924575
0.28107.669604092320.674700677863696
0.29107.8048475320460.64350983525706
0.3107.9330449483290.611900647487072
0.31108.0543047458970.582343406401328
0.32108.1691255999650.556713117435255
0.33108.2782399808420.535387077203221
0.34108.382460779540.518238123882859
0.35108.4825578362650.504355332441146
0.36108.5791788302130.4928526085104
0.37108.6728172079770.482742791319363
0.38108.7638209958870.473079263852835
0.39108.8524313584830.463623276850315
0.4108.938838352910.454427395109853
0.41109.0232425433120.445557509314574
0.42109.1059138402320.437910477636669
0.43109.1872420808360.432387909956261
0.44109.2677766635730.429908313382274
0.45109.3482544543670.431812247451588
0.46109.4296159171540.439298387338071
0.47109.5130090032690.453673623307155
0.48109.5997790833710.476135834624945
0.49109.6914417289350.507721536540511
0.5109.7896342313620.548878991510953
0.51109.8960421466540.599662162906777
0.52110.0122993635640.659473243275301
0.53110.1398642164040.726953096611993
0.54110.2798794160420.799680334622955
0.55110.4330289570320.874458664189362
0.56110.599409314530.947664723006092
0.57110.7784339063741.01491909283204
0.58110.9687881544831.07251967299851
0.59111.1684474330521.11612546066467
0.6111.3747624047411.14307411452772
0.61111.5846070167761.15096530021903
0.62111.794575395881.13922483628131
0.63112.001206677451.10830072213759
0.64112.2012127361981.0598142746484
0.65112.3916835979070.996616212730785
0.66112.5702490663640.922180954216986
0.67112.7351821582940.84027354392423
0.68112.885439052320.754977361505328
0.69113.0206397553910.66974390595843
0.7113.1410017781860.587694299270904
0.71113.2472442504040.511197301062471
0.72113.3404811969080.441958906018962
0.73113.4221201508920.381050880391087
0.74113.493776875630.32899543111005
0.75113.5572103854870.286289154386965
0.76113.614276573750.25297029067412
0.77113.6668950042120.229151497860299
0.78113.7170222864420.214940783350888
0.79113.7666262917530.209953169350591
0.8113.8176568356460.213727583731518
0.81113.8720088752490.22542720806194
0.82113.9314731931860.243692610254566
0.83113.9976680069850.267269420826221
0.84114.0719454063960.294579116916673
0.85114.1552714006750.323586807687791
0.86114.248087695050.351750345546423
0.87114.3501730197570.376239544853907
0.88114.4605249518060.393941134400508
0.89114.577275752580.402160223612293
0.9114.6976449747230.398664514598755
0.91114.8179379215460.381880572888382
0.92114.9336421769270.350780826477756
0.93115.0397431624430.30546125050181
0.94115.13140846540.247796622631187
0.95115.205080808170.183036598530104
0.96115.2597162815770.119811692638237
0.97115.2974809416410.0682121542064242
0.98115.322937120150.0365228490727884
0.99115.3402263517750.0274862082783581


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):
par3 <- '0.01'
par2 <- '0.09'
par1 <- '0.01'
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')