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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 computationMon, 20 Oct 2008 11:39:17 -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/2008/Oct/20/t1224524454znkgbgv48ire1oq.htm/, Retrieved Sun, 19 May 2024 16:34:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17763, Retrieved Sun, 19 May 2024 16:34:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact147

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] [task 2] [2008-10-20 17:39:17] [9e8e8f1cf6738240aaa61f66e2e3fd45] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100,7
109,9
114,6
85,4
100,5
114,5
116,5
112,9
102
106
105,3
118,8
106,1
109,3
117,2
92,5
104,2
112,5
122,5
113,3
100
110,7
112,8
109,8
117,3
109,1
115,9
95,7

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17763&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17763&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17763&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0186.02996881965026.5675736401574
0.0286.92985750467636.1924585323256
0.0388.02449982484685.77287579729969
0.0489.23072505553475.35779015475918
0.0590.47379856977164.98073315478196
0.0691.69591974212724.6546911130122
0.0792.85819847521664.37503719116549
0.0893.9385195777124.12759662460362
0.0994.92758032392863.89699319044528
0.195.82473272230683.67217425457520
0.1196.63451842015963.44859824948437
0.1297.36419164900423.2276511690345
0.1398.02216021278313.01506045180708
0.1498.61711253507132.81874852231652
0.1599.15757579522492.64678455509258
0.1699.65169982139152.5058071348826
0.17100.1071337270342.39951243262622
0.18100.5309278238002.32830062009180
0.19100.9294396665052.28927223797236
0.2101.3082488047012.27677795935095
0.21101.6720941374872.28393642946179
0.22102.0248466025752.30374211044657
0.23102.3695236727152.32976143572079
0.24102.7083447357552.35696668812726
0.25103.0428202790682.38144714823765
0.26103.3738639567982.40081790776422
0.27103.7019152468632.41379034286449
0.28104.0270611205412.41989800389039
0.29104.3491473212172.41956033202184
0.3104.6678728058012.41336860260449
0.31104.9828640442532.40222979182375
0.32105.2937287380262.38701622237618
0.33105.6000908014442.36834624198778
0.34105.9016099943542.34677657193438
0.35106.1979903702442.32240188477741
0.36106.4889817808912.29540798384528
0.37106.7743781937932.26556341149517
0.38107.0540157079922.23285934668856
0.39107.3277720852072.19721029828823
0.4107.5955685234452.15866097997548
0.41107.8573734389242.11771656546162
0.42108.1132072987202.07482847098226
0.43108.3631471251232.03069696465126
0.44108.6073291905631.98631446460499
0.45108.8459486141181.94259568892261
0.46109.0792549974381.90059215141945
0.47109.3075438160511.86108179849638
0.48109.5311439163941.82476559573085
0.49109.7504020650361.79196884495075
0.5109.9656659717711.76263837521296
0.51110.1772675002371.73647593303358
0.52110.3855078529861.71295326473238
0.53110.5906463656481.69119485042683
0.54110.7928941886841.67035293160996
0.55110.9924136206541.64953794833380
0.56111.1893232469991.62804049260741
0.57111.3837084054701.60523706065350
0.58111.5756359161301.58087752052956
0.59111.7651715448991.55494639336574
0.6111.9523983641771.52771801289801
0.61112.1374340608321.49980477541076
0.62112.3204453270941.47195495580910
0.63112.5016577373831.44504116195028
0.64112.6813599289851.42000449957067
0.65112.8599014184831.39777984174827
0.66113.0376839446301.37898900464089
0.67113.2151467788451.36424675194666
0.68113.3927469423761.35368347047112
0.69113.5709356837031.34722035077490
0.7113.7501328876711.34437545775865
0.71113.9307013126561.34448413898999
0.72114.1129227024251.34658549807374
0.73114.2969779226311.34958219208402
0.74114.4829333583871.35222315027198
0.75114.6707359036381.35326928800338
0.76114.8602189881331.35153203225387
0.77115.0511222189091.34582632366668
0.78115.2431273361471.33522085245975
0.79115.4359132515481.31908503598349
0.8115.6292328798681.29713318412859
0.81115.8230141829711.26952165682897
0.82116.0174871482091.23718426750110
0.83116.213337027551.20166527035019
0.84116.4118815751461.16549770563534
0.85116.6152654378881.13242217991984
0.86116.8266570992731.10729242745050
0.87117.0504213676161.09627371887850
0.88117.2922219264231.10645204119836
0.89117.5589835212971.14521684650492
0.9117.8586142152051.21935591448845
0.91118.1993621660811.33407949403083
0.92118.5886736627721.49258240787226
0.93119.0314539916341.69570272779954
0.94119.5277413699481.94140954817586
0.95120.0700156034732.22362999906851
0.96120.6406843996872.53075860430643
0.97121.2106770002462.84453014883105
0.98121.7403985355263.14038054820103
0.99122.1843301070363.39017644014306

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 86.0299688196502 & 6.5675736401574 \tabularnewline
0.02 & 86.9298575046763 & 6.1924585323256 \tabularnewline
0.03 & 88.0244998248468 & 5.77287579729969 \tabularnewline
0.04 & 89.2307250555347 & 5.35779015475918 \tabularnewline
0.05 & 90.4737985697716 & 4.98073315478196 \tabularnewline
0.06 & 91.6959197421272 & 4.6546911130122 \tabularnewline
0.07 & 92.8581984752166 & 4.37503719116549 \tabularnewline
0.08 & 93.938519577712 & 4.12759662460362 \tabularnewline
0.09 & 94.9275803239286 & 3.89699319044528 \tabularnewline
0.1 & 95.8247327223068 & 3.67217425457520 \tabularnewline
0.11 & 96.6345184201596 & 3.44859824948437 \tabularnewline
0.12 & 97.3641916490042 & 3.2276511690345 \tabularnewline
0.13 & 98.0221602127831 & 3.01506045180708 \tabularnewline
0.14 & 98.6171125350713 & 2.81874852231652 \tabularnewline
0.15 & 99.1575757952249 & 2.64678455509258 \tabularnewline
0.16 & 99.6516998213915 & 2.5058071348826 \tabularnewline
0.17 & 100.107133727034 & 2.39951243262622 \tabularnewline
0.18 & 100.530927823800 & 2.32830062009180 \tabularnewline
0.19 & 100.929439666505 & 2.28927223797236 \tabularnewline
0.2 & 101.308248804701 & 2.27677795935095 \tabularnewline
0.21 & 101.672094137487 & 2.28393642946179 \tabularnewline
0.22 & 102.024846602575 & 2.30374211044657 \tabularnewline
0.23 & 102.369523672715 & 2.32976143572079 \tabularnewline
0.24 & 102.708344735755 & 2.35696668812726 \tabularnewline
0.25 & 103.042820279068 & 2.38144714823765 \tabularnewline
0.26 & 103.373863956798 & 2.40081790776422 \tabularnewline
0.27 & 103.701915246863 & 2.41379034286449 \tabularnewline
0.28 & 104.027061120541 & 2.41989800389039 \tabularnewline
0.29 & 104.349147321217 & 2.41956033202184 \tabularnewline
0.3 & 104.667872805801 & 2.41336860260449 \tabularnewline
0.31 & 104.982864044253 & 2.40222979182375 \tabularnewline
0.32 & 105.293728738026 & 2.38701622237618 \tabularnewline
0.33 & 105.600090801444 & 2.36834624198778 \tabularnewline
0.34 & 105.901609994354 & 2.34677657193438 \tabularnewline
0.35 & 106.197990370244 & 2.32240188477741 \tabularnewline
0.36 & 106.488981780891 & 2.29540798384528 \tabularnewline
0.37 & 106.774378193793 & 2.26556341149517 \tabularnewline
0.38 & 107.054015707992 & 2.23285934668856 \tabularnewline
0.39 & 107.327772085207 & 2.19721029828823 \tabularnewline
0.4 & 107.595568523445 & 2.15866097997548 \tabularnewline
0.41 & 107.857373438924 & 2.11771656546162 \tabularnewline
0.42 & 108.113207298720 & 2.07482847098226 \tabularnewline
0.43 & 108.363147125123 & 2.03069696465126 \tabularnewline
0.44 & 108.607329190563 & 1.98631446460499 \tabularnewline
0.45 & 108.845948614118 & 1.94259568892261 \tabularnewline
0.46 & 109.079254997438 & 1.90059215141945 \tabularnewline
0.47 & 109.307543816051 & 1.86108179849638 \tabularnewline
0.48 & 109.531143916394 & 1.82476559573085 \tabularnewline
0.49 & 109.750402065036 & 1.79196884495075 \tabularnewline
0.5 & 109.965665971771 & 1.76263837521296 \tabularnewline
0.51 & 110.177267500237 & 1.73647593303358 \tabularnewline
0.52 & 110.385507852986 & 1.71295326473238 \tabularnewline
0.53 & 110.590646365648 & 1.69119485042683 \tabularnewline
0.54 & 110.792894188684 & 1.67035293160996 \tabularnewline
0.55 & 110.992413620654 & 1.64953794833380 \tabularnewline
0.56 & 111.189323246999 & 1.62804049260741 \tabularnewline
0.57 & 111.383708405470 & 1.60523706065350 \tabularnewline
0.58 & 111.575635916130 & 1.58087752052956 \tabularnewline
0.59 & 111.765171544899 & 1.55494639336574 \tabularnewline
0.6 & 111.952398364177 & 1.52771801289801 \tabularnewline
0.61 & 112.137434060832 & 1.49980477541076 \tabularnewline
0.62 & 112.320445327094 & 1.47195495580910 \tabularnewline
0.63 & 112.501657737383 & 1.44504116195028 \tabularnewline
0.64 & 112.681359928985 & 1.42000449957067 \tabularnewline
0.65 & 112.859901418483 & 1.39777984174827 \tabularnewline
0.66 & 113.037683944630 & 1.37898900464089 \tabularnewline
0.67 & 113.215146778845 & 1.36424675194666 \tabularnewline
0.68 & 113.392746942376 & 1.35368347047112 \tabularnewline
0.69 & 113.570935683703 & 1.34722035077490 \tabularnewline
0.7 & 113.750132887671 & 1.34437545775865 \tabularnewline
0.71 & 113.930701312656 & 1.34448413898999 \tabularnewline
0.72 & 114.112922702425 & 1.34658549807374 \tabularnewline
0.73 & 114.296977922631 & 1.34958219208402 \tabularnewline
0.74 & 114.482933358387 & 1.35222315027198 \tabularnewline
0.75 & 114.670735903638 & 1.35326928800338 \tabularnewline
0.76 & 114.860218988133 & 1.35153203225387 \tabularnewline
0.77 & 115.051122218909 & 1.34582632366668 \tabularnewline
0.78 & 115.243127336147 & 1.33522085245975 \tabularnewline
0.79 & 115.435913251548 & 1.31908503598349 \tabularnewline
0.8 & 115.629232879868 & 1.29713318412859 \tabularnewline
0.81 & 115.823014182971 & 1.26952165682897 \tabularnewline
0.82 & 116.017487148209 & 1.23718426750110 \tabularnewline
0.83 & 116.21333702755 & 1.20166527035019 \tabularnewline
0.84 & 116.411881575146 & 1.16549770563534 \tabularnewline
0.85 & 116.615265437888 & 1.13242217991984 \tabularnewline
0.86 & 116.826657099273 & 1.10729242745050 \tabularnewline
0.87 & 117.050421367616 & 1.09627371887850 \tabularnewline
0.88 & 117.292221926423 & 1.10645204119836 \tabularnewline
0.89 & 117.558983521297 & 1.14521684650492 \tabularnewline
0.9 & 117.858614215205 & 1.21935591448845 \tabularnewline
0.91 & 118.199362166081 & 1.33407949403083 \tabularnewline
0.92 & 118.588673662772 & 1.49258240787226 \tabularnewline
0.93 & 119.031453991634 & 1.69570272779954 \tabularnewline
0.94 & 119.527741369948 & 1.94140954817586 \tabularnewline
0.95 & 120.070015603473 & 2.22362999906851 \tabularnewline
0.96 & 120.640684399687 & 2.53075860430643 \tabularnewline
0.97 & 121.210677000246 & 2.84453014883105 \tabularnewline
0.98 & 121.740398535526 & 3.14038054820103 \tabularnewline
0.99 & 122.184330107036 & 3.39017644014306 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17763&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]86.0299688196502[/C][C]6.5675736401574[/C][/ROW]
[ROW][C]0.02[/C][C]86.9298575046763[/C][C]6.1924585323256[/C][/ROW]
[ROW][C]0.03[/C][C]88.0244998248468[/C][C]5.77287579729969[/C][/ROW]
[ROW][C]0.04[/C][C]89.2307250555347[/C][C]5.35779015475918[/C][/ROW]
[ROW][C]0.05[/C][C]90.4737985697716[/C][C]4.98073315478196[/C][/ROW]
[ROW][C]0.06[/C][C]91.6959197421272[/C][C]4.6546911130122[/C][/ROW]
[ROW][C]0.07[/C][C]92.8581984752166[/C][C]4.37503719116549[/C][/ROW]
[ROW][C]0.08[/C][C]93.938519577712[/C][C]4.12759662460362[/C][/ROW]
[ROW][C]0.09[/C][C]94.9275803239286[/C][C]3.89699319044528[/C][/ROW]
[ROW][C]0.1[/C][C]95.8247327223068[/C][C]3.67217425457520[/C][/ROW]
[ROW][C]0.11[/C][C]96.6345184201596[/C][C]3.44859824948437[/C][/ROW]
[ROW][C]0.12[/C][C]97.3641916490042[/C][C]3.2276511690345[/C][/ROW]
[ROW][C]0.13[/C][C]98.0221602127831[/C][C]3.01506045180708[/C][/ROW]
[ROW][C]0.14[/C][C]98.6171125350713[/C][C]2.81874852231652[/C][/ROW]
[ROW][C]0.15[/C][C]99.1575757952249[/C][C]2.64678455509258[/C][/ROW]
[ROW][C]0.16[/C][C]99.6516998213915[/C][C]2.5058071348826[/C][/ROW]
[ROW][C]0.17[/C][C]100.107133727034[/C][C]2.39951243262622[/C][/ROW]
[ROW][C]0.18[/C][C]100.530927823800[/C][C]2.32830062009180[/C][/ROW]
[ROW][C]0.19[/C][C]100.929439666505[/C][C]2.28927223797236[/C][/ROW]
[ROW][C]0.2[/C][C]101.308248804701[/C][C]2.27677795935095[/C][/ROW]
[ROW][C]0.21[/C][C]101.672094137487[/C][C]2.28393642946179[/C][/ROW]
[ROW][C]0.22[/C][C]102.024846602575[/C][C]2.30374211044657[/C][/ROW]
[ROW][C]0.23[/C][C]102.369523672715[/C][C]2.32976143572079[/C][/ROW]
[ROW][C]0.24[/C][C]102.708344735755[/C][C]2.35696668812726[/C][/ROW]
[ROW][C]0.25[/C][C]103.042820279068[/C][C]2.38144714823765[/C][/ROW]
[ROW][C]0.26[/C][C]103.373863956798[/C][C]2.40081790776422[/C][/ROW]
[ROW][C]0.27[/C][C]103.701915246863[/C][C]2.41379034286449[/C][/ROW]
[ROW][C]0.28[/C][C]104.027061120541[/C][C]2.41989800389039[/C][/ROW]
[ROW][C]0.29[/C][C]104.349147321217[/C][C]2.41956033202184[/C][/ROW]
[ROW][C]0.3[/C][C]104.667872805801[/C][C]2.41336860260449[/C][/ROW]
[ROW][C]0.31[/C][C]104.982864044253[/C][C]2.40222979182375[/C][/ROW]
[ROW][C]0.32[/C][C]105.293728738026[/C][C]2.38701622237618[/C][/ROW]
[ROW][C]0.33[/C][C]105.600090801444[/C][C]2.36834624198778[/C][/ROW]
[ROW][C]0.34[/C][C]105.901609994354[/C][C]2.34677657193438[/C][/ROW]
[ROW][C]0.35[/C][C]106.197990370244[/C][C]2.32240188477741[/C][/ROW]
[ROW][C]0.36[/C][C]106.488981780891[/C][C]2.29540798384528[/C][/ROW]
[ROW][C]0.37[/C][C]106.774378193793[/C][C]2.26556341149517[/C][/ROW]
[ROW][C]0.38[/C][C]107.054015707992[/C][C]2.23285934668856[/C][/ROW]
[ROW][C]0.39[/C][C]107.327772085207[/C][C]2.19721029828823[/C][/ROW]
[ROW][C]0.4[/C][C]107.595568523445[/C][C]2.15866097997548[/C][/ROW]
[ROW][C]0.41[/C][C]107.857373438924[/C][C]2.11771656546162[/C][/ROW]
[ROW][C]0.42[/C][C]108.113207298720[/C][C]2.07482847098226[/C][/ROW]
[ROW][C]0.43[/C][C]108.363147125123[/C][C]2.03069696465126[/C][/ROW]
[ROW][C]0.44[/C][C]108.607329190563[/C][C]1.98631446460499[/C][/ROW]
[ROW][C]0.45[/C][C]108.845948614118[/C][C]1.94259568892261[/C][/ROW]
[ROW][C]0.46[/C][C]109.079254997438[/C][C]1.90059215141945[/C][/ROW]
[ROW][C]0.47[/C][C]109.307543816051[/C][C]1.86108179849638[/C][/ROW]
[ROW][C]0.48[/C][C]109.531143916394[/C][C]1.82476559573085[/C][/ROW]
[ROW][C]0.49[/C][C]109.750402065036[/C][C]1.79196884495075[/C][/ROW]
[ROW][C]0.5[/C][C]109.965665971771[/C][C]1.76263837521296[/C][/ROW]
[ROW][C]0.51[/C][C]110.177267500237[/C][C]1.73647593303358[/C][/ROW]
[ROW][C]0.52[/C][C]110.385507852986[/C][C]1.71295326473238[/C][/ROW]
[ROW][C]0.53[/C][C]110.590646365648[/C][C]1.69119485042683[/C][/ROW]
[ROW][C]0.54[/C][C]110.792894188684[/C][C]1.67035293160996[/C][/ROW]
[ROW][C]0.55[/C][C]110.992413620654[/C][C]1.64953794833380[/C][/ROW]
[ROW][C]0.56[/C][C]111.189323246999[/C][C]1.62804049260741[/C][/ROW]
[ROW][C]0.57[/C][C]111.383708405470[/C][C]1.60523706065350[/C][/ROW]
[ROW][C]0.58[/C][C]111.575635916130[/C][C]1.58087752052956[/C][/ROW]
[ROW][C]0.59[/C][C]111.765171544899[/C][C]1.55494639336574[/C][/ROW]
[ROW][C]0.6[/C][C]111.952398364177[/C][C]1.52771801289801[/C][/ROW]
[ROW][C]0.61[/C][C]112.137434060832[/C][C]1.49980477541076[/C][/ROW]
[ROW][C]0.62[/C][C]112.320445327094[/C][C]1.47195495580910[/C][/ROW]
[ROW][C]0.63[/C][C]112.501657737383[/C][C]1.44504116195028[/C][/ROW]
[ROW][C]0.64[/C][C]112.681359928985[/C][C]1.42000449957067[/C][/ROW]
[ROW][C]0.65[/C][C]112.859901418483[/C][C]1.39777984174827[/C][/ROW]
[ROW][C]0.66[/C][C]113.037683944630[/C][C]1.37898900464089[/C][/ROW]
[ROW][C]0.67[/C][C]113.215146778845[/C][C]1.36424675194666[/C][/ROW]
[ROW][C]0.68[/C][C]113.392746942376[/C][C]1.35368347047112[/C][/ROW]
[ROW][C]0.69[/C][C]113.570935683703[/C][C]1.34722035077490[/C][/ROW]
[ROW][C]0.7[/C][C]113.750132887671[/C][C]1.34437545775865[/C][/ROW]
[ROW][C]0.71[/C][C]113.930701312656[/C][C]1.34448413898999[/C][/ROW]
[ROW][C]0.72[/C][C]114.112922702425[/C][C]1.34658549807374[/C][/ROW]
[ROW][C]0.73[/C][C]114.296977922631[/C][C]1.34958219208402[/C][/ROW]
[ROW][C]0.74[/C][C]114.482933358387[/C][C]1.35222315027198[/C][/ROW]
[ROW][C]0.75[/C][C]114.670735903638[/C][C]1.35326928800338[/C][/ROW]
[ROW][C]0.76[/C][C]114.860218988133[/C][C]1.35153203225387[/C][/ROW]
[ROW][C]0.77[/C][C]115.051122218909[/C][C]1.34582632366668[/C][/ROW]
[ROW][C]0.78[/C][C]115.243127336147[/C][C]1.33522085245975[/C][/ROW]
[ROW][C]0.79[/C][C]115.435913251548[/C][C]1.31908503598349[/C][/ROW]
[ROW][C]0.8[/C][C]115.629232879868[/C][C]1.29713318412859[/C][/ROW]
[ROW][C]0.81[/C][C]115.823014182971[/C][C]1.26952165682897[/C][/ROW]
[ROW][C]0.82[/C][C]116.017487148209[/C][C]1.23718426750110[/C][/ROW]
[ROW][C]0.83[/C][C]116.21333702755[/C][C]1.20166527035019[/C][/ROW]
[ROW][C]0.84[/C][C]116.411881575146[/C][C]1.16549770563534[/C][/ROW]
[ROW][C]0.85[/C][C]116.615265437888[/C][C]1.13242217991984[/C][/ROW]
[ROW][C]0.86[/C][C]116.826657099273[/C][C]1.10729242745050[/C][/ROW]
[ROW][C]0.87[/C][C]117.050421367616[/C][C]1.09627371887850[/C][/ROW]
[ROW][C]0.88[/C][C]117.292221926423[/C][C]1.10645204119836[/C][/ROW]
[ROW][C]0.89[/C][C]117.558983521297[/C][C]1.14521684650492[/C][/ROW]
[ROW][C]0.9[/C][C]117.858614215205[/C][C]1.21935591448845[/C][/ROW]
[ROW][C]0.91[/C][C]118.199362166081[/C][C]1.33407949403083[/C][/ROW]
[ROW][C]0.92[/C][C]118.588673662772[/C][C]1.49258240787226[/C][/ROW]
[ROW][C]0.93[/C][C]119.031453991634[/C][C]1.69570272779954[/C][/ROW]
[ROW][C]0.94[/C][C]119.527741369948[/C][C]1.94140954817586[/C][/ROW]
[ROW][C]0.95[/C][C]120.070015603473[/C][C]2.22362999906851[/C][/ROW]
[ROW][C]0.96[/C][C]120.640684399687[/C][C]2.53075860430643[/C][/ROW]
[ROW][C]0.97[/C][C]121.210677000246[/C][C]2.84453014883105[/C][/ROW]
[ROW][C]0.98[/C][C]121.740398535526[/C][C]3.14038054820103[/C][/ROW]
[ROW][C]0.99[/C][C]122.184330107036[/C][C]3.39017644014306[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17763&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17763&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
0.0186.02996881965026.5675736401574
0.0286.92985750467636.1924585323256
0.0388.02449982484685.77287579729969
0.0489.23072505553475.35779015475918
0.0590.47379856977164.98073315478196
0.0691.69591974212724.6546911130122
0.0792.85819847521664.37503719116549
0.0893.9385195777124.12759662460362
0.0994.92758032392863.89699319044528
0.195.82473272230683.67217425457520
0.1196.63451842015963.44859824948437
0.1297.36419164900423.2276511690345
0.1398.02216021278313.01506045180708
0.1498.61711253507132.81874852231652
0.1599.15757579522492.64678455509258
0.1699.65169982139152.5058071348826
0.17100.1071337270342.39951243262622
0.18100.5309278238002.32830062009180
0.19100.9294396665052.28927223797236
0.2101.3082488047012.27677795935095
0.21101.6720941374872.28393642946179
0.22102.0248466025752.30374211044657
0.23102.3695236727152.32976143572079
0.24102.7083447357552.35696668812726
0.25103.0428202790682.38144714823765
0.26103.3738639567982.40081790776422
0.27103.7019152468632.41379034286449
0.28104.0270611205412.41989800389039
0.29104.3491473212172.41956033202184
0.3104.6678728058012.41336860260449
0.31104.9828640442532.40222979182375
0.32105.2937287380262.38701622237618
0.33105.6000908014442.36834624198778
0.34105.9016099943542.34677657193438
0.35106.1979903702442.32240188477741
0.36106.4889817808912.29540798384528
0.37106.7743781937932.26556341149517
0.38107.0540157079922.23285934668856
0.39107.3277720852072.19721029828823
0.4107.5955685234452.15866097997548
0.41107.8573734389242.11771656546162
0.42108.1132072987202.07482847098226
0.43108.3631471251232.03069696465126
0.44108.6073291905631.98631446460499
0.45108.8459486141181.94259568892261
0.46109.0792549974381.90059215141945
0.47109.3075438160511.86108179849638
0.48109.5311439163941.82476559573085
0.49109.7504020650361.79196884495075
0.5109.9656659717711.76263837521296
0.51110.1772675002371.73647593303358
0.52110.3855078529861.71295326473238
0.53110.5906463656481.69119485042683
0.54110.7928941886841.67035293160996
0.55110.9924136206541.64953794833380
0.56111.1893232469991.62804049260741
0.57111.3837084054701.60523706065350
0.58111.5756359161301.58087752052956
0.59111.7651715448991.55494639336574
0.6111.9523983641771.52771801289801
0.61112.1374340608321.49980477541076
0.62112.3204453270941.47195495580910
0.63112.5016577373831.44504116195028
0.64112.6813599289851.42000449957067
0.65112.8599014184831.39777984174827
0.66113.0376839446301.37898900464089
0.67113.2151467788451.36424675194666
0.68113.3927469423761.35368347047112
0.69113.5709356837031.34722035077490
0.7113.7501328876711.34437545775865
0.71113.9307013126561.34448413898999
0.72114.1129227024251.34658549807374
0.73114.2969779226311.34958219208402
0.74114.4829333583871.35222315027198
0.75114.6707359036381.35326928800338
0.76114.8602189881331.35153203225387
0.77115.0511222189091.34582632366668
0.78115.2431273361471.33522085245975
0.79115.4359132515481.31908503598349
0.8115.6292328798681.29713318412859
0.81115.8230141829711.26952165682897
0.82116.0174871482091.23718426750110
0.83116.213337027551.20166527035019
0.84116.4118815751461.16549770563534
0.85116.6152654378881.13242217991984
0.86116.8266570992731.10729242745050
0.87117.0504213676161.09627371887850
0.88117.2922219264231.10645204119836
0.89117.5589835212971.14521684650492
0.9117.8586142152051.21935591448845
0.91118.1993621660811.33407949403083
0.92118.5886736627721.49258240787226
0.93119.0314539916341.69570272779954
0.94119.5277413699481.94140954817586
0.95120.0700156034732.22362999906851
0.96120.6406843996872.53075860430643
0.97121.2106770002462.84453014883105
0.98121.7403985355263.14038054820103
0.99122.1843301070363.39017644014306


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')