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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 computationFri, 08 May 2015 12:47:01 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/May/08/t1431085684hggotr4hy7ysrcq.htm/, Retrieved Thu, 02 May 2024 21:22:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279032, Retrieved Thu, 02 May 2024 21:22:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact141

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] [] [2015-05-08 11:47:01] [d95fe07e11cd60b998b93c9c7758de3b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
81
85
90
84
94
131
130
99
101
82
90
85
105
110
115
110
114
149
147
113
113
107
109
103
113
112
114
106
107
134
135
105
105
90
92
83
95
98
95
81
83
106
114
80
82
76
78
70
82
86
87
74
79
110
117
82
71
67
66
57
71
77
76
69
74
101
105
73
68
65
70
65
80
92
93
90
96
125
134
100
97
97
101
90
108
113
112
103
103
125
128
91
84
83
83
69
77
83
78
70
75
101
117
80
87
81
78
73
93
105
102
97
100
127
138
107
107
106
109
107
129
138
137
134
134
166
180
131
135
127
121
116

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' @ yule.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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279032&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' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279032&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279032&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' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0161.17815567598644.16474795247158
0.0264.66016448797291.75761853700236
0.0366.3678584063311.51486090181847
0.0467.49435048154651.51869061126746
0.0568.43280780823251.42078596080474
0.0669.23848203269941.35537604159298
0.0769.96453849650171.42063909551227
0.0870.67714821142851.60249378759997
0.0971.42162656572781.82085053019628
0.172.20935682231712.00091081966427
0.1173.02565177202372.10795723863993
0.1273.84565727027622.14445212281143
0.1374.6471288454572.13057044923385
0.1475.41592792602092.08775796578826
0.1576.14592234838132.03233650660284
0.1676.83657616192561.97531522639731
0.1777.49029684904891.92178660667685
0.1878.11022805663921.87103045227305
0.1978.69870787053191.81799730264162
0.279.25661237964691.75703294784004
0.2179.78366719459461.68626683223331
0.2280.27948395507641.60854024649227
0.2380.74484643408571.53190402884863
0.2481.18280090984171.46708980052298
0.2581.59931030924291.42702965158331
0.2682.00341829167091.42466397815542
0.2782.40693170286161.47156674695994
0.2882.82360528572241.57504219226459
0.2983.26780972765291.73522612941889
0.383.75275827716131.94377241479858
0.3184.2885453530662.1836291140803
0.3284.88042475027932.43142111023503
0.3385.52781705931882.66216579566195
0.3486.22441811792552.85395830187726
0.3586.95949426609912.9928412242524
0.3687.72008889292553.07515086802822
0.3788.49356705082373.10823390104558
0.3889.26981483431693.10736258368414
0.3990.04253807072513.09115733226921
0.490.80941992545563.07606222432007
0.4191.5712694117723.07190268249314
0.4292.33057549301763.08118787276855
0.4393.08997940510053.10012656938095
0.4493.85108642473.1210897470909
0.4594.61383274641273.13585906425682
0.4695.37640933345863.13730698759063
0.4796.13560328531333.12092888620496
0.4896.88737197453593.08468557154842
0.4997.62748726357153.02938891079024
0.598.35212785420332.95776698592211
0.5199.05832481336932.87446483192754
0.5299.74418010084112.78479814199104
0.53100.408806337932.69294895930762
0.54101.0520001761542.60208197115364
0.55101.673754325452.51177886930919
0.56102.2737947864732.41938417382885
0.57102.85135029862.32192316722624
0.58103.4052946404442.21730179017507
0.59103.934668535692.1071182254536
0.6104.4394433073521.99667073103088
0.61104.9212950624281.89476944695526
0.62105.3841485772851.8123238993647
0.63105.8343137530281.75947567432308
0.64106.2801361705111.74427196160916
0.65106.7311801626321.76988658424659
0.66107.1970435346411.83347913473523
0.67107.6859738116661.92598644913978
0.68108.2035251951692.03328050147404
0.69108.7515570701232.13808684601202
0.7109.3279052824112.2238871099521
0.71109.9270254117042.27863462268564
0.72110.5417867412672.29827595494477
0.73111.1663738998772.29153322735081
0.74111.7999381220442.2812854766281
0.75112.4502694875032.30456871948953
0.76113.1364129511022.40759055905936
0.77113.8889496030982.63272624926442
0.78114.7467851515293.00155270423394
0.79115.7499297334033.49895949234323
0.8116.9290373609174.06910079218747
0.81118.2942235786064.62115754939324
0.82119.8271991791975.05004900293831
0.83121.4808969136375.26667472006275
0.84123.1885663800255.22995525758008
0.85124.8800254589674.96299833780936
0.86126.4984417756774.54300577406178
0.87128.009764107924.06479014880789
0.88129.4007476814183.59652566735167
0.89130.6692156322813.15666645303731
0.9131.816935590012.73370885916928
0.91132.8553793752272.33745554609151
0.92133.8263812887682.042219691662
0.93134.8318175145981.98663021945093
0.94136.0716285491622.33719810946868
0.95137.9035695744663.28628053858126
0.96140.9429367411925.01881661073798
0.97146.2298980971717.66308752105859
0.98155.32731583357411.2558037927739
0.99168.8284591249413.7531048881707

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 61.1781556759864 & 4.16474795247158 \tabularnewline
0.02 & 64.6601644879729 & 1.75761853700236 \tabularnewline
0.03 & 66.367858406331 & 1.51486090181847 \tabularnewline
0.04 & 67.4943504815465 & 1.51869061126746 \tabularnewline
0.05 & 68.4328078082325 & 1.42078596080474 \tabularnewline
0.06 & 69.2384820326994 & 1.35537604159298 \tabularnewline
0.07 & 69.9645384965017 & 1.42063909551227 \tabularnewline
0.08 & 70.6771482114285 & 1.60249378759997 \tabularnewline
0.09 & 71.4216265657278 & 1.82085053019628 \tabularnewline
0.1 & 72.2093568223171 & 2.00091081966427 \tabularnewline
0.11 & 73.0256517720237 & 2.10795723863993 \tabularnewline
0.12 & 73.8456572702762 & 2.14445212281143 \tabularnewline
0.13 & 74.647128845457 & 2.13057044923385 \tabularnewline
0.14 & 75.4159279260209 & 2.08775796578826 \tabularnewline
0.15 & 76.1459223483813 & 2.03233650660284 \tabularnewline
0.16 & 76.8365761619256 & 1.97531522639731 \tabularnewline
0.17 & 77.4902968490489 & 1.92178660667685 \tabularnewline
0.18 & 78.1102280566392 & 1.87103045227305 \tabularnewline
0.19 & 78.6987078705319 & 1.81799730264162 \tabularnewline
0.2 & 79.2566123796469 & 1.75703294784004 \tabularnewline
0.21 & 79.7836671945946 & 1.68626683223331 \tabularnewline
0.22 & 80.2794839550764 & 1.60854024649227 \tabularnewline
0.23 & 80.7448464340857 & 1.53190402884863 \tabularnewline
0.24 & 81.1828009098417 & 1.46708980052298 \tabularnewline
0.25 & 81.5993103092429 & 1.42702965158331 \tabularnewline
0.26 & 82.0034182916709 & 1.42466397815542 \tabularnewline
0.27 & 82.4069317028616 & 1.47156674695994 \tabularnewline
0.28 & 82.8236052857224 & 1.57504219226459 \tabularnewline
0.29 & 83.2678097276529 & 1.73522612941889 \tabularnewline
0.3 & 83.7527582771613 & 1.94377241479858 \tabularnewline
0.31 & 84.288545353066 & 2.1836291140803 \tabularnewline
0.32 & 84.8804247502793 & 2.43142111023503 \tabularnewline
0.33 & 85.5278170593188 & 2.66216579566195 \tabularnewline
0.34 & 86.2244181179255 & 2.85395830187726 \tabularnewline
0.35 & 86.9594942660991 & 2.9928412242524 \tabularnewline
0.36 & 87.7200888929255 & 3.07515086802822 \tabularnewline
0.37 & 88.4935670508237 & 3.10823390104558 \tabularnewline
0.38 & 89.2698148343169 & 3.10736258368414 \tabularnewline
0.39 & 90.0425380707251 & 3.09115733226921 \tabularnewline
0.4 & 90.8094199254556 & 3.07606222432007 \tabularnewline
0.41 & 91.571269411772 & 3.07190268249314 \tabularnewline
0.42 & 92.3305754930176 & 3.08118787276855 \tabularnewline
0.43 & 93.0899794051005 & 3.10012656938095 \tabularnewline
0.44 & 93.8510864247 & 3.1210897470909 \tabularnewline
0.45 & 94.6138327464127 & 3.13585906425682 \tabularnewline
0.46 & 95.3764093334586 & 3.13730698759063 \tabularnewline
0.47 & 96.1356032853133 & 3.12092888620496 \tabularnewline
0.48 & 96.8873719745359 & 3.08468557154842 \tabularnewline
0.49 & 97.6274872635715 & 3.02938891079024 \tabularnewline
0.5 & 98.3521278542033 & 2.95776698592211 \tabularnewline
0.51 & 99.0583248133693 & 2.87446483192754 \tabularnewline
0.52 & 99.7441801008411 & 2.78479814199104 \tabularnewline
0.53 & 100.40880633793 & 2.69294895930762 \tabularnewline
0.54 & 101.052000176154 & 2.60208197115364 \tabularnewline
0.55 & 101.67375432545 & 2.51177886930919 \tabularnewline
0.56 & 102.273794786473 & 2.41938417382885 \tabularnewline
0.57 & 102.8513502986 & 2.32192316722624 \tabularnewline
0.58 & 103.405294640444 & 2.21730179017507 \tabularnewline
0.59 & 103.93466853569 & 2.1071182254536 \tabularnewline
0.6 & 104.439443307352 & 1.99667073103088 \tabularnewline
0.61 & 104.921295062428 & 1.89476944695526 \tabularnewline
0.62 & 105.384148577285 & 1.8123238993647 \tabularnewline
0.63 & 105.834313753028 & 1.75947567432308 \tabularnewline
0.64 & 106.280136170511 & 1.74427196160916 \tabularnewline
0.65 & 106.731180162632 & 1.76988658424659 \tabularnewline
0.66 & 107.197043534641 & 1.83347913473523 \tabularnewline
0.67 & 107.685973811666 & 1.92598644913978 \tabularnewline
0.68 & 108.203525195169 & 2.03328050147404 \tabularnewline
0.69 & 108.751557070123 & 2.13808684601202 \tabularnewline
0.7 & 109.327905282411 & 2.2238871099521 \tabularnewline
0.71 & 109.927025411704 & 2.27863462268564 \tabularnewline
0.72 & 110.541786741267 & 2.29827595494477 \tabularnewline
0.73 & 111.166373899877 & 2.29153322735081 \tabularnewline
0.74 & 111.799938122044 & 2.2812854766281 \tabularnewline
0.75 & 112.450269487503 & 2.30456871948953 \tabularnewline
0.76 & 113.136412951102 & 2.40759055905936 \tabularnewline
0.77 & 113.888949603098 & 2.63272624926442 \tabularnewline
0.78 & 114.746785151529 & 3.00155270423394 \tabularnewline
0.79 & 115.749929733403 & 3.49895949234323 \tabularnewline
0.8 & 116.929037360917 & 4.06910079218747 \tabularnewline
0.81 & 118.294223578606 & 4.62115754939324 \tabularnewline
0.82 & 119.827199179197 & 5.05004900293831 \tabularnewline
0.83 & 121.480896913637 & 5.26667472006275 \tabularnewline
0.84 & 123.188566380025 & 5.22995525758008 \tabularnewline
0.85 & 124.880025458967 & 4.96299833780936 \tabularnewline
0.86 & 126.498441775677 & 4.54300577406178 \tabularnewline
0.87 & 128.00976410792 & 4.06479014880789 \tabularnewline
0.88 & 129.400747681418 & 3.59652566735167 \tabularnewline
0.89 & 130.669215632281 & 3.15666645303731 \tabularnewline
0.9 & 131.81693559001 & 2.73370885916928 \tabularnewline
0.91 & 132.855379375227 & 2.33745554609151 \tabularnewline
0.92 & 133.826381288768 & 2.042219691662 \tabularnewline
0.93 & 134.831817514598 & 1.98663021945093 \tabularnewline
0.94 & 136.071628549162 & 2.33719810946868 \tabularnewline
0.95 & 137.903569574466 & 3.28628053858126 \tabularnewline
0.96 & 140.942936741192 & 5.01881661073798 \tabularnewline
0.97 & 146.229898097171 & 7.66308752105859 \tabularnewline
0.98 & 155.327315833574 & 11.2558037927739 \tabularnewline
0.99 & 168.82845912494 & 13.7531048881707 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279032&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]61.1781556759864[/C][C]4.16474795247158[/C][/ROW]
[ROW][C]0.02[/C][C]64.6601644879729[/C][C]1.75761853700236[/C][/ROW]
[ROW][C]0.03[/C][C]66.367858406331[/C][C]1.51486090181847[/C][/ROW]
[ROW][C]0.04[/C][C]67.4943504815465[/C][C]1.51869061126746[/C][/ROW]
[ROW][C]0.05[/C][C]68.4328078082325[/C][C]1.42078596080474[/C][/ROW]
[ROW][C]0.06[/C][C]69.2384820326994[/C][C]1.35537604159298[/C][/ROW]
[ROW][C]0.07[/C][C]69.9645384965017[/C][C]1.42063909551227[/C][/ROW]
[ROW][C]0.08[/C][C]70.6771482114285[/C][C]1.60249378759997[/C][/ROW]
[ROW][C]0.09[/C][C]71.4216265657278[/C][C]1.82085053019628[/C][/ROW]
[ROW][C]0.1[/C][C]72.2093568223171[/C][C]2.00091081966427[/C][/ROW]
[ROW][C]0.11[/C][C]73.0256517720237[/C][C]2.10795723863993[/C][/ROW]
[ROW][C]0.12[/C][C]73.8456572702762[/C][C]2.14445212281143[/C][/ROW]
[ROW][C]0.13[/C][C]74.647128845457[/C][C]2.13057044923385[/C][/ROW]
[ROW][C]0.14[/C][C]75.4159279260209[/C][C]2.08775796578826[/C][/ROW]
[ROW][C]0.15[/C][C]76.1459223483813[/C][C]2.03233650660284[/C][/ROW]
[ROW][C]0.16[/C][C]76.8365761619256[/C][C]1.97531522639731[/C][/ROW]
[ROW][C]0.17[/C][C]77.4902968490489[/C][C]1.92178660667685[/C][/ROW]
[ROW][C]0.18[/C][C]78.1102280566392[/C][C]1.87103045227305[/C][/ROW]
[ROW][C]0.19[/C][C]78.6987078705319[/C][C]1.81799730264162[/C][/ROW]
[ROW][C]0.2[/C][C]79.2566123796469[/C][C]1.75703294784004[/C][/ROW]
[ROW][C]0.21[/C][C]79.7836671945946[/C][C]1.68626683223331[/C][/ROW]
[ROW][C]0.22[/C][C]80.2794839550764[/C][C]1.60854024649227[/C][/ROW]
[ROW][C]0.23[/C][C]80.7448464340857[/C][C]1.53190402884863[/C][/ROW]
[ROW][C]0.24[/C][C]81.1828009098417[/C][C]1.46708980052298[/C][/ROW]
[ROW][C]0.25[/C][C]81.5993103092429[/C][C]1.42702965158331[/C][/ROW]
[ROW][C]0.26[/C][C]82.0034182916709[/C][C]1.42466397815542[/C][/ROW]
[ROW][C]0.27[/C][C]82.4069317028616[/C][C]1.47156674695994[/C][/ROW]
[ROW][C]0.28[/C][C]82.8236052857224[/C][C]1.57504219226459[/C][/ROW]
[ROW][C]0.29[/C][C]83.2678097276529[/C][C]1.73522612941889[/C][/ROW]
[ROW][C]0.3[/C][C]83.7527582771613[/C][C]1.94377241479858[/C][/ROW]
[ROW][C]0.31[/C][C]84.288545353066[/C][C]2.1836291140803[/C][/ROW]
[ROW][C]0.32[/C][C]84.8804247502793[/C][C]2.43142111023503[/C][/ROW]
[ROW][C]0.33[/C][C]85.5278170593188[/C][C]2.66216579566195[/C][/ROW]
[ROW][C]0.34[/C][C]86.2244181179255[/C][C]2.85395830187726[/C][/ROW]
[ROW][C]0.35[/C][C]86.9594942660991[/C][C]2.9928412242524[/C][/ROW]
[ROW][C]0.36[/C][C]87.7200888929255[/C][C]3.07515086802822[/C][/ROW]
[ROW][C]0.37[/C][C]88.4935670508237[/C][C]3.10823390104558[/C][/ROW]
[ROW][C]0.38[/C][C]89.2698148343169[/C][C]3.10736258368414[/C][/ROW]
[ROW][C]0.39[/C][C]90.0425380707251[/C][C]3.09115733226921[/C][/ROW]
[ROW][C]0.4[/C][C]90.8094199254556[/C][C]3.07606222432007[/C][/ROW]
[ROW][C]0.41[/C][C]91.571269411772[/C][C]3.07190268249314[/C][/ROW]
[ROW][C]0.42[/C][C]92.3305754930176[/C][C]3.08118787276855[/C][/ROW]
[ROW][C]0.43[/C][C]93.0899794051005[/C][C]3.10012656938095[/C][/ROW]
[ROW][C]0.44[/C][C]93.8510864247[/C][C]3.1210897470909[/C][/ROW]
[ROW][C]0.45[/C][C]94.6138327464127[/C][C]3.13585906425682[/C][/ROW]
[ROW][C]0.46[/C][C]95.3764093334586[/C][C]3.13730698759063[/C][/ROW]
[ROW][C]0.47[/C][C]96.1356032853133[/C][C]3.12092888620496[/C][/ROW]
[ROW][C]0.48[/C][C]96.8873719745359[/C][C]3.08468557154842[/C][/ROW]
[ROW][C]0.49[/C][C]97.6274872635715[/C][C]3.02938891079024[/C][/ROW]
[ROW][C]0.5[/C][C]98.3521278542033[/C][C]2.95776698592211[/C][/ROW]
[ROW][C]0.51[/C][C]99.0583248133693[/C][C]2.87446483192754[/C][/ROW]
[ROW][C]0.52[/C][C]99.7441801008411[/C][C]2.78479814199104[/C][/ROW]
[ROW][C]0.53[/C][C]100.40880633793[/C][C]2.69294895930762[/C][/ROW]
[ROW][C]0.54[/C][C]101.052000176154[/C][C]2.60208197115364[/C][/ROW]
[ROW][C]0.55[/C][C]101.67375432545[/C][C]2.51177886930919[/C][/ROW]
[ROW][C]0.56[/C][C]102.273794786473[/C][C]2.41938417382885[/C][/ROW]
[ROW][C]0.57[/C][C]102.8513502986[/C][C]2.32192316722624[/C][/ROW]
[ROW][C]0.58[/C][C]103.405294640444[/C][C]2.21730179017507[/C][/ROW]
[ROW][C]0.59[/C][C]103.93466853569[/C][C]2.1071182254536[/C][/ROW]
[ROW][C]0.6[/C][C]104.439443307352[/C][C]1.99667073103088[/C][/ROW]
[ROW][C]0.61[/C][C]104.921295062428[/C][C]1.89476944695526[/C][/ROW]
[ROW][C]0.62[/C][C]105.384148577285[/C][C]1.8123238993647[/C][/ROW]
[ROW][C]0.63[/C][C]105.834313753028[/C][C]1.75947567432308[/C][/ROW]
[ROW][C]0.64[/C][C]106.280136170511[/C][C]1.74427196160916[/C][/ROW]
[ROW][C]0.65[/C][C]106.731180162632[/C][C]1.76988658424659[/C][/ROW]
[ROW][C]0.66[/C][C]107.197043534641[/C][C]1.83347913473523[/C][/ROW]
[ROW][C]0.67[/C][C]107.685973811666[/C][C]1.92598644913978[/C][/ROW]
[ROW][C]0.68[/C][C]108.203525195169[/C][C]2.03328050147404[/C][/ROW]
[ROW][C]0.69[/C][C]108.751557070123[/C][C]2.13808684601202[/C][/ROW]
[ROW][C]0.7[/C][C]109.327905282411[/C][C]2.2238871099521[/C][/ROW]
[ROW][C]0.71[/C][C]109.927025411704[/C][C]2.27863462268564[/C][/ROW]
[ROW][C]0.72[/C][C]110.541786741267[/C][C]2.29827595494477[/C][/ROW]
[ROW][C]0.73[/C][C]111.166373899877[/C][C]2.29153322735081[/C][/ROW]
[ROW][C]0.74[/C][C]111.799938122044[/C][C]2.2812854766281[/C][/ROW]
[ROW][C]0.75[/C][C]112.450269487503[/C][C]2.30456871948953[/C][/ROW]
[ROW][C]0.76[/C][C]113.136412951102[/C][C]2.40759055905936[/C][/ROW]
[ROW][C]0.77[/C][C]113.888949603098[/C][C]2.63272624926442[/C][/ROW]
[ROW][C]0.78[/C][C]114.746785151529[/C][C]3.00155270423394[/C][/ROW]
[ROW][C]0.79[/C][C]115.749929733403[/C][C]3.49895949234323[/C][/ROW]
[ROW][C]0.8[/C][C]116.929037360917[/C][C]4.06910079218747[/C][/ROW]
[ROW][C]0.81[/C][C]118.294223578606[/C][C]4.62115754939324[/C][/ROW]
[ROW][C]0.82[/C][C]119.827199179197[/C][C]5.05004900293831[/C][/ROW]
[ROW][C]0.83[/C][C]121.480896913637[/C][C]5.26667472006275[/C][/ROW]
[ROW][C]0.84[/C][C]123.188566380025[/C][C]5.22995525758008[/C][/ROW]
[ROW][C]0.85[/C][C]124.880025458967[/C][C]4.96299833780936[/C][/ROW]
[ROW][C]0.86[/C][C]126.498441775677[/C][C]4.54300577406178[/C][/ROW]
[ROW][C]0.87[/C][C]128.00976410792[/C][C]4.06479014880789[/C][/ROW]
[ROW][C]0.88[/C][C]129.400747681418[/C][C]3.59652566735167[/C][/ROW]
[ROW][C]0.89[/C][C]130.669215632281[/C][C]3.15666645303731[/C][/ROW]
[ROW][C]0.9[/C][C]131.81693559001[/C][C]2.73370885916928[/C][/ROW]
[ROW][C]0.91[/C][C]132.855379375227[/C][C]2.33745554609151[/C][/ROW]
[ROW][C]0.92[/C][C]133.826381288768[/C][C]2.042219691662[/C][/ROW]
[ROW][C]0.93[/C][C]134.831817514598[/C][C]1.98663021945093[/C][/ROW]
[ROW][C]0.94[/C][C]136.071628549162[/C][C]2.33719810946868[/C][/ROW]
[ROW][C]0.95[/C][C]137.903569574466[/C][C]3.28628053858126[/C][/ROW]
[ROW][C]0.96[/C][C]140.942936741192[/C][C]5.01881661073798[/C][/ROW]
[ROW][C]0.97[/C][C]146.229898097171[/C][C]7.66308752105859[/C][/ROW]
[ROW][C]0.98[/C][C]155.327315833574[/C][C]11.2558037927739[/C][/ROW]
[ROW][C]0.99[/C][C]168.82845912494[/C][C]13.7531048881707[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279032&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279032&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
0.0161.17815567598644.16474795247158
0.0264.66016448797291.75761853700236
0.0366.3678584063311.51486090181847
0.0467.49435048154651.51869061126746
0.0568.43280780823251.42078596080474
0.0669.23848203269941.35537604159298
0.0769.96453849650171.42063909551227
0.0870.67714821142851.60249378759997
0.0971.42162656572781.82085053019628
0.172.20935682231712.00091081966427
0.1173.02565177202372.10795723863993
0.1273.84565727027622.14445212281143
0.1374.6471288454572.13057044923385
0.1475.41592792602092.08775796578826
0.1576.14592234838132.03233650660284
0.1676.83657616192561.97531522639731
0.1777.49029684904891.92178660667685
0.1878.11022805663921.87103045227305
0.1978.69870787053191.81799730264162
0.279.25661237964691.75703294784004
0.2179.78366719459461.68626683223331
0.2280.27948395507641.60854024649227
0.2380.74484643408571.53190402884863
0.2481.18280090984171.46708980052298
0.2581.59931030924291.42702965158331
0.2682.00341829167091.42466397815542
0.2782.40693170286161.47156674695994
0.2882.82360528572241.57504219226459
0.2983.26780972765291.73522612941889
0.383.75275827716131.94377241479858
0.3184.2885453530662.1836291140803
0.3284.88042475027932.43142111023503
0.3385.52781705931882.66216579566195
0.3486.22441811792552.85395830187726
0.3586.95949426609912.9928412242524
0.3687.72008889292553.07515086802822
0.3788.49356705082373.10823390104558
0.3889.26981483431693.10736258368414
0.3990.04253807072513.09115733226921
0.490.80941992545563.07606222432007
0.4191.5712694117723.07190268249314
0.4292.33057549301763.08118787276855
0.4393.08997940510053.10012656938095
0.4493.85108642473.1210897470909
0.4594.61383274641273.13585906425682
0.4695.37640933345863.13730698759063
0.4796.13560328531333.12092888620496
0.4896.88737197453593.08468557154842
0.4997.62748726357153.02938891079024
0.598.35212785420332.95776698592211
0.5199.05832481336932.87446483192754
0.5299.74418010084112.78479814199104
0.53100.408806337932.69294895930762
0.54101.0520001761542.60208197115364
0.55101.673754325452.51177886930919
0.56102.2737947864732.41938417382885
0.57102.85135029862.32192316722624
0.58103.4052946404442.21730179017507
0.59103.934668535692.1071182254536
0.6104.4394433073521.99667073103088
0.61104.9212950624281.89476944695526
0.62105.3841485772851.8123238993647
0.63105.8343137530281.75947567432308
0.64106.2801361705111.74427196160916
0.65106.7311801626321.76988658424659
0.66107.1970435346411.83347913473523
0.67107.6859738116661.92598644913978
0.68108.2035251951692.03328050147404
0.69108.7515570701232.13808684601202
0.7109.3279052824112.2238871099521
0.71109.9270254117042.27863462268564
0.72110.5417867412672.29827595494477
0.73111.1663738998772.29153322735081
0.74111.7999381220442.2812854766281
0.75112.4502694875032.30456871948953
0.76113.1364129511022.40759055905936
0.77113.8889496030982.63272624926442
0.78114.7467851515293.00155270423394
0.79115.7499297334033.49895949234323
0.8116.9290373609174.06910079218747
0.81118.2942235786064.62115754939324
0.82119.8271991791975.05004900293831
0.83121.4808969136375.26667472006275
0.84123.1885663800255.22995525758008
0.85124.8800254589674.96299833780936
0.86126.4984417756774.54300577406178
0.87128.009764107924.06479014880789
0.88129.4007476814183.59652566735167
0.89130.6692156322813.15666645303731
0.9131.816935590012.73370885916928
0.91132.8553793752272.33745554609151
0.92133.8263812887682.042219691662
0.93134.8318175145981.98663021945093
0.94136.0716285491622.33719810946868
0.95137.9035695744663.28628053858126
0.96140.9429367411925.01881661073798
0.97146.2298980971717.66308752105859
0.98155.32731583357411.2558037927739
0.99168.8284591249413.7531048881707


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')