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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 computationTue, 17 Aug 2010 15:19:49 +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/2010/Aug/17/t12820584278n2qev3muawj9ow.htm/, Retrieved Sat, 27 Apr 2024 08:21:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79142, Retrieved Sat, 27 Apr 2024 08:21:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsDeGroodtOlivierREEKSBStap7
Estimated Impact119

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] [] [2010-08-17 15:19:49] [461523bf9c5715e033e9a40193969321] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
80
79
78
76
74
73
74
76
77
77
78
80
90
90
89
82
78
76
74
78
81
82
88
99
117
113
106
100
97
96
100
104
104
111
117
118
140
147
134
126
116
114
120
122
117
119
132
134
154
152
132
130
123
129
124
128
128
129
141
138
155
160
142
133
131
140
134
134
134
136
145
137
152
168
160
157
147
161
159
164
163
158
175
163

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79142&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79142&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79142&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0173.32453687371950.741504995863372
0.0273.76229158055070.584562796576076
0.0374.1887735232150.717211893284253
0.0474.61543920624150.931255359684326
0.0575.06298690991221.05494909414492
0.0675.51784819800821.07201558085363
0.0775.95552810060691.03906735616066
0.0876.36284293530421.00970147839229
0.0976.74090622545461.00468293462751
0.177.09896355231331.02636609079872
0.1177.44927125239191.08128253215704
0.1277.80563118070441.18516531351291
0.1378.18379954916861.35561256998125
0.1478.60169477348971.60511782210789
0.1579.07864008951051.93788512837205
0.1679.6338909629042.35134419999394
0.1780.28495128144422.83686893281864
0.1881.04600887225543.37927402028985
0.1981.92662659576063.95782971001686
0.282.93077624172264.54599286125435
0.2184.05634745621995.11572561443274
0.2285.29528298303355.6402123850602
0.2386.63441646061446.09869191417013
0.2488.05693864413496.47835845841262
0.2589.54426302241466.77521519661954
0.2691.07796865986.99415109769986
0.2792.64149270368157.14644304423926
0.2894.22131256404747.24814307701102
0.2995.80746519667827.31598066168407
0.397.39336981369657.36470108745268
0.3198.97503558152457.40419941839471
0.32100.5498396032647.43661887446065
0.33102.1151418473127.45648714067294
0.34103.6670448251567.4509325488665
0.35105.199587939087.40488435210125
0.36106.7045813552357.30364244168636
0.37108.1721435376777.13823928133197
0.38109.5918418345476.9079493434243
0.39110.9541894554696.62161174262365
0.4112.2521643695446.2969908325178
0.41113.4824092867965.95812103357571
0.42114.6458468599855.63157377522036
0.43115.7475784063395.34172184501101
0.44116.7960916643145.10660197495246
0.45117.8019445590204.93473577611354
0.46118.7761867104274.82433419789221
0.47119.7288121991114.76376815230122
0.48120.6675060982084.73525287390905
0.49121.5968675152924.71825230580575
0.5122.5181857945214.69399701982761
0.51123.4297387219044.64679424890192
0.52124.3274934891314.5672423596848
0.53125.2060374592344.45158755766235
0.54126.0595526535324.30131379045137
0.55126.8826731008294.12249454472373
0.56127.6711182802673.92334290637473
0.57128.4220642902863.71275536808
0.58129.1342803366283.50020804562996
0.59129.8081061093083.29319940371947
0.6130.4453647551403.09806064471586
0.61131.0492931237372.92112529306425
0.62131.6245313358712.76809775913868
0.63132.1771610978992.64627885770097
0.64132.7147348936402.56291513925788
0.65133.2462139721692.52613817872721
0.66133.7817430564272.54173126994322
0.67134.3322336090512.61282660161915
0.68134.9087918963872.73723684491248
0.69135.5220894515342.90829101399202
0.7136.1818057649453.11662506986537
0.71136.8962577183733.35207469367693
0.72137.6722658956923.60508982302854
0.73138.5152137058553.86890657917821
0.74139.4291669102344.13832530810864
0.75140.4168782510534.40863117622117
0.76141.479531301244.67341912556485
0.77142.6161795079544.92312561878696
0.78143.8229793687665.14371145012218
0.79145.0924463917745.31788386329886
0.8146.4130214123015.42764334005108
0.81147.7691871538765.45746863007359
0.82149.1422269114115.39757892117681
0.83150.5115234479155.24618524205349
0.84151.8561443511555.00948480351285
0.85153.1564333613014.70024784433764
0.86154.3954521319264.33532585991864
0.87155.5603194771873.93359613365764
0.88156.6436028161873.51611512336378
0.89157.6447520128493.1069657644629
0.9158.5711523200962.73329611502025
0.91159.4381689910522.4216917394118
0.92160.268447954382.18819835190985
0.93161.0933908093822.03155007447523
0.94161.9632465570691.95251564638093
0.95162.9731254659792.00982196193249
0.96164.3036909176542.35713543517531
0.97166.2410149996943.13481024833362
0.98169.0458094807884.33290968546726
0.99172.4467273342455.78342434641992

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 73.3245368737195 & 0.741504995863372 \tabularnewline
0.02 & 73.7622915805507 & 0.584562796576076 \tabularnewline
0.03 & 74.188773523215 & 0.717211893284253 \tabularnewline
0.04 & 74.6154392062415 & 0.931255359684326 \tabularnewline
0.05 & 75.0629869099122 & 1.05494909414492 \tabularnewline
0.06 & 75.5178481980082 & 1.07201558085363 \tabularnewline
0.07 & 75.9555281006069 & 1.03906735616066 \tabularnewline
0.08 & 76.3628429353042 & 1.00970147839229 \tabularnewline
0.09 & 76.7409062254546 & 1.00468293462751 \tabularnewline
0.1 & 77.0989635523133 & 1.02636609079872 \tabularnewline
0.11 & 77.4492712523919 & 1.08128253215704 \tabularnewline
0.12 & 77.8056311807044 & 1.18516531351291 \tabularnewline
0.13 & 78.1837995491686 & 1.35561256998125 \tabularnewline
0.14 & 78.6016947734897 & 1.60511782210789 \tabularnewline
0.15 & 79.0786400895105 & 1.93788512837205 \tabularnewline
0.16 & 79.633890962904 & 2.35134419999394 \tabularnewline
0.17 & 80.2849512814442 & 2.83686893281864 \tabularnewline
0.18 & 81.0460088722554 & 3.37927402028985 \tabularnewline
0.19 & 81.9266265957606 & 3.95782971001686 \tabularnewline
0.2 & 82.9307762417226 & 4.54599286125435 \tabularnewline
0.21 & 84.0563474562199 & 5.11572561443274 \tabularnewline
0.22 & 85.2952829830335 & 5.6402123850602 \tabularnewline
0.23 & 86.6344164606144 & 6.09869191417013 \tabularnewline
0.24 & 88.0569386441349 & 6.47835845841262 \tabularnewline
0.25 & 89.5442630224146 & 6.77521519661954 \tabularnewline
0.26 & 91.0779686598 & 6.99415109769986 \tabularnewline
0.27 & 92.6414927036815 & 7.14644304423926 \tabularnewline
0.28 & 94.2213125640474 & 7.24814307701102 \tabularnewline
0.29 & 95.8074651966782 & 7.31598066168407 \tabularnewline
0.3 & 97.3933698136965 & 7.36470108745268 \tabularnewline
0.31 & 98.9750355815245 & 7.40419941839471 \tabularnewline
0.32 & 100.549839603264 & 7.43661887446065 \tabularnewline
0.33 & 102.115141847312 & 7.45648714067294 \tabularnewline
0.34 & 103.667044825156 & 7.4509325488665 \tabularnewline
0.35 & 105.19958793908 & 7.40488435210125 \tabularnewline
0.36 & 106.704581355235 & 7.30364244168636 \tabularnewline
0.37 & 108.172143537677 & 7.13823928133197 \tabularnewline
0.38 & 109.591841834547 & 6.9079493434243 \tabularnewline
0.39 & 110.954189455469 & 6.62161174262365 \tabularnewline
0.4 & 112.252164369544 & 6.2969908325178 \tabularnewline
0.41 & 113.482409286796 & 5.95812103357571 \tabularnewline
0.42 & 114.645846859985 & 5.63157377522036 \tabularnewline
0.43 & 115.747578406339 & 5.34172184501101 \tabularnewline
0.44 & 116.796091664314 & 5.10660197495246 \tabularnewline
0.45 & 117.801944559020 & 4.93473577611354 \tabularnewline
0.46 & 118.776186710427 & 4.82433419789221 \tabularnewline
0.47 & 119.728812199111 & 4.76376815230122 \tabularnewline
0.48 & 120.667506098208 & 4.73525287390905 \tabularnewline
0.49 & 121.596867515292 & 4.71825230580575 \tabularnewline
0.5 & 122.518185794521 & 4.69399701982761 \tabularnewline
0.51 & 123.429738721904 & 4.64679424890192 \tabularnewline
0.52 & 124.327493489131 & 4.5672423596848 \tabularnewline
0.53 & 125.206037459234 & 4.45158755766235 \tabularnewline
0.54 & 126.059552653532 & 4.30131379045137 \tabularnewline
0.55 & 126.882673100829 & 4.12249454472373 \tabularnewline
0.56 & 127.671118280267 & 3.92334290637473 \tabularnewline
0.57 & 128.422064290286 & 3.71275536808 \tabularnewline
0.58 & 129.134280336628 & 3.50020804562996 \tabularnewline
0.59 & 129.808106109308 & 3.29319940371947 \tabularnewline
0.6 & 130.445364755140 & 3.09806064471586 \tabularnewline
0.61 & 131.049293123737 & 2.92112529306425 \tabularnewline
0.62 & 131.624531335871 & 2.76809775913868 \tabularnewline
0.63 & 132.177161097899 & 2.64627885770097 \tabularnewline
0.64 & 132.714734893640 & 2.56291513925788 \tabularnewline
0.65 & 133.246213972169 & 2.52613817872721 \tabularnewline
0.66 & 133.781743056427 & 2.54173126994322 \tabularnewline
0.67 & 134.332233609051 & 2.61282660161915 \tabularnewline
0.68 & 134.908791896387 & 2.73723684491248 \tabularnewline
0.69 & 135.522089451534 & 2.90829101399202 \tabularnewline
0.7 & 136.181805764945 & 3.11662506986537 \tabularnewline
0.71 & 136.896257718373 & 3.35207469367693 \tabularnewline
0.72 & 137.672265895692 & 3.60508982302854 \tabularnewline
0.73 & 138.515213705855 & 3.86890657917821 \tabularnewline
0.74 & 139.429166910234 & 4.13832530810864 \tabularnewline
0.75 & 140.416878251053 & 4.40863117622117 \tabularnewline
0.76 & 141.47953130124 & 4.67341912556485 \tabularnewline
0.77 & 142.616179507954 & 4.92312561878696 \tabularnewline
0.78 & 143.822979368766 & 5.14371145012218 \tabularnewline
0.79 & 145.092446391774 & 5.31788386329886 \tabularnewline
0.8 & 146.413021412301 & 5.42764334005108 \tabularnewline
0.81 & 147.769187153876 & 5.45746863007359 \tabularnewline
0.82 & 149.142226911411 & 5.39757892117681 \tabularnewline
0.83 & 150.511523447915 & 5.24618524205349 \tabularnewline
0.84 & 151.856144351155 & 5.00948480351285 \tabularnewline
0.85 & 153.156433361301 & 4.70024784433764 \tabularnewline
0.86 & 154.395452131926 & 4.33532585991864 \tabularnewline
0.87 & 155.560319477187 & 3.93359613365764 \tabularnewline
0.88 & 156.643602816187 & 3.51611512336378 \tabularnewline
0.89 & 157.644752012849 & 3.1069657644629 \tabularnewline
0.9 & 158.571152320096 & 2.73329611502025 \tabularnewline
0.91 & 159.438168991052 & 2.4216917394118 \tabularnewline
0.92 & 160.26844795438 & 2.18819835190985 \tabularnewline
0.93 & 161.093390809382 & 2.03155007447523 \tabularnewline
0.94 & 161.963246557069 & 1.95251564638093 \tabularnewline
0.95 & 162.973125465979 & 2.00982196193249 \tabularnewline
0.96 & 164.303690917654 & 2.35713543517531 \tabularnewline
0.97 & 166.241014999694 & 3.13481024833362 \tabularnewline
0.98 & 169.045809480788 & 4.33290968546726 \tabularnewline
0.99 & 172.446727334245 & 5.78342434641992 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79142&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]73.3245368737195[/C][C]0.741504995863372[/C][/ROW]
[ROW][C]0.02[/C][C]73.7622915805507[/C][C]0.584562796576076[/C][/ROW]
[ROW][C]0.03[/C][C]74.188773523215[/C][C]0.717211893284253[/C][/ROW]
[ROW][C]0.04[/C][C]74.6154392062415[/C][C]0.931255359684326[/C][/ROW]
[ROW][C]0.05[/C][C]75.0629869099122[/C][C]1.05494909414492[/C][/ROW]
[ROW][C]0.06[/C][C]75.5178481980082[/C][C]1.07201558085363[/C][/ROW]
[ROW][C]0.07[/C][C]75.9555281006069[/C][C]1.03906735616066[/C][/ROW]
[ROW][C]0.08[/C][C]76.3628429353042[/C][C]1.00970147839229[/C][/ROW]
[ROW][C]0.09[/C][C]76.7409062254546[/C][C]1.00468293462751[/C][/ROW]
[ROW][C]0.1[/C][C]77.0989635523133[/C][C]1.02636609079872[/C][/ROW]
[ROW][C]0.11[/C][C]77.4492712523919[/C][C]1.08128253215704[/C][/ROW]
[ROW][C]0.12[/C][C]77.8056311807044[/C][C]1.18516531351291[/C][/ROW]
[ROW][C]0.13[/C][C]78.1837995491686[/C][C]1.35561256998125[/C][/ROW]
[ROW][C]0.14[/C][C]78.6016947734897[/C][C]1.60511782210789[/C][/ROW]
[ROW][C]0.15[/C][C]79.0786400895105[/C][C]1.93788512837205[/C][/ROW]
[ROW][C]0.16[/C][C]79.633890962904[/C][C]2.35134419999394[/C][/ROW]
[ROW][C]0.17[/C][C]80.2849512814442[/C][C]2.83686893281864[/C][/ROW]
[ROW][C]0.18[/C][C]81.0460088722554[/C][C]3.37927402028985[/C][/ROW]
[ROW][C]0.19[/C][C]81.9266265957606[/C][C]3.95782971001686[/C][/ROW]
[ROW][C]0.2[/C][C]82.9307762417226[/C][C]4.54599286125435[/C][/ROW]
[ROW][C]0.21[/C][C]84.0563474562199[/C][C]5.11572561443274[/C][/ROW]
[ROW][C]0.22[/C][C]85.2952829830335[/C][C]5.6402123850602[/C][/ROW]
[ROW][C]0.23[/C][C]86.6344164606144[/C][C]6.09869191417013[/C][/ROW]
[ROW][C]0.24[/C][C]88.0569386441349[/C][C]6.47835845841262[/C][/ROW]
[ROW][C]0.25[/C][C]89.5442630224146[/C][C]6.77521519661954[/C][/ROW]
[ROW][C]0.26[/C][C]91.0779686598[/C][C]6.99415109769986[/C][/ROW]
[ROW][C]0.27[/C][C]92.6414927036815[/C][C]7.14644304423926[/C][/ROW]
[ROW][C]0.28[/C][C]94.2213125640474[/C][C]7.24814307701102[/C][/ROW]
[ROW][C]0.29[/C][C]95.8074651966782[/C][C]7.31598066168407[/C][/ROW]
[ROW][C]0.3[/C][C]97.3933698136965[/C][C]7.36470108745268[/C][/ROW]
[ROW][C]0.31[/C][C]98.9750355815245[/C][C]7.40419941839471[/C][/ROW]
[ROW][C]0.32[/C][C]100.549839603264[/C][C]7.43661887446065[/C][/ROW]
[ROW][C]0.33[/C][C]102.115141847312[/C][C]7.45648714067294[/C][/ROW]
[ROW][C]0.34[/C][C]103.667044825156[/C][C]7.4509325488665[/C][/ROW]
[ROW][C]0.35[/C][C]105.19958793908[/C][C]7.40488435210125[/C][/ROW]
[ROW][C]0.36[/C][C]106.704581355235[/C][C]7.30364244168636[/C][/ROW]
[ROW][C]0.37[/C][C]108.172143537677[/C][C]7.13823928133197[/C][/ROW]
[ROW][C]0.38[/C][C]109.591841834547[/C][C]6.9079493434243[/C][/ROW]
[ROW][C]0.39[/C][C]110.954189455469[/C][C]6.62161174262365[/C][/ROW]
[ROW][C]0.4[/C][C]112.252164369544[/C][C]6.2969908325178[/C][/ROW]
[ROW][C]0.41[/C][C]113.482409286796[/C][C]5.95812103357571[/C][/ROW]
[ROW][C]0.42[/C][C]114.645846859985[/C][C]5.63157377522036[/C][/ROW]
[ROW][C]0.43[/C][C]115.747578406339[/C][C]5.34172184501101[/C][/ROW]
[ROW][C]0.44[/C][C]116.796091664314[/C][C]5.10660197495246[/C][/ROW]
[ROW][C]0.45[/C][C]117.801944559020[/C][C]4.93473577611354[/C][/ROW]
[ROW][C]0.46[/C][C]118.776186710427[/C][C]4.82433419789221[/C][/ROW]
[ROW][C]0.47[/C][C]119.728812199111[/C][C]4.76376815230122[/C][/ROW]
[ROW][C]0.48[/C][C]120.667506098208[/C][C]4.73525287390905[/C][/ROW]
[ROW][C]0.49[/C][C]121.596867515292[/C][C]4.71825230580575[/C][/ROW]
[ROW][C]0.5[/C][C]122.518185794521[/C][C]4.69399701982761[/C][/ROW]
[ROW][C]0.51[/C][C]123.429738721904[/C][C]4.64679424890192[/C][/ROW]
[ROW][C]0.52[/C][C]124.327493489131[/C][C]4.5672423596848[/C][/ROW]
[ROW][C]0.53[/C][C]125.206037459234[/C][C]4.45158755766235[/C][/ROW]
[ROW][C]0.54[/C][C]126.059552653532[/C][C]4.30131379045137[/C][/ROW]
[ROW][C]0.55[/C][C]126.882673100829[/C][C]4.12249454472373[/C][/ROW]
[ROW][C]0.56[/C][C]127.671118280267[/C][C]3.92334290637473[/C][/ROW]
[ROW][C]0.57[/C][C]128.422064290286[/C][C]3.71275536808[/C][/ROW]
[ROW][C]0.58[/C][C]129.134280336628[/C][C]3.50020804562996[/C][/ROW]
[ROW][C]0.59[/C][C]129.808106109308[/C][C]3.29319940371947[/C][/ROW]
[ROW][C]0.6[/C][C]130.445364755140[/C][C]3.09806064471586[/C][/ROW]
[ROW][C]0.61[/C][C]131.049293123737[/C][C]2.92112529306425[/C][/ROW]
[ROW][C]0.62[/C][C]131.624531335871[/C][C]2.76809775913868[/C][/ROW]
[ROW][C]0.63[/C][C]132.177161097899[/C][C]2.64627885770097[/C][/ROW]
[ROW][C]0.64[/C][C]132.714734893640[/C][C]2.56291513925788[/C][/ROW]
[ROW][C]0.65[/C][C]133.246213972169[/C][C]2.52613817872721[/C][/ROW]
[ROW][C]0.66[/C][C]133.781743056427[/C][C]2.54173126994322[/C][/ROW]
[ROW][C]0.67[/C][C]134.332233609051[/C][C]2.61282660161915[/C][/ROW]
[ROW][C]0.68[/C][C]134.908791896387[/C][C]2.73723684491248[/C][/ROW]
[ROW][C]0.69[/C][C]135.522089451534[/C][C]2.90829101399202[/C][/ROW]
[ROW][C]0.7[/C][C]136.181805764945[/C][C]3.11662506986537[/C][/ROW]
[ROW][C]0.71[/C][C]136.896257718373[/C][C]3.35207469367693[/C][/ROW]
[ROW][C]0.72[/C][C]137.672265895692[/C][C]3.60508982302854[/C][/ROW]
[ROW][C]0.73[/C][C]138.515213705855[/C][C]3.86890657917821[/C][/ROW]
[ROW][C]0.74[/C][C]139.429166910234[/C][C]4.13832530810864[/C][/ROW]
[ROW][C]0.75[/C][C]140.416878251053[/C][C]4.40863117622117[/C][/ROW]
[ROW][C]0.76[/C][C]141.47953130124[/C][C]4.67341912556485[/C][/ROW]
[ROW][C]0.77[/C][C]142.616179507954[/C][C]4.92312561878696[/C][/ROW]
[ROW][C]0.78[/C][C]143.822979368766[/C][C]5.14371145012218[/C][/ROW]
[ROW][C]0.79[/C][C]145.092446391774[/C][C]5.31788386329886[/C][/ROW]
[ROW][C]0.8[/C][C]146.413021412301[/C][C]5.42764334005108[/C][/ROW]
[ROW][C]0.81[/C][C]147.769187153876[/C][C]5.45746863007359[/C][/ROW]
[ROW][C]0.82[/C][C]149.142226911411[/C][C]5.39757892117681[/C][/ROW]
[ROW][C]0.83[/C][C]150.511523447915[/C][C]5.24618524205349[/C][/ROW]
[ROW][C]0.84[/C][C]151.856144351155[/C][C]5.00948480351285[/C][/ROW]
[ROW][C]0.85[/C][C]153.156433361301[/C][C]4.70024784433764[/C][/ROW]
[ROW][C]0.86[/C][C]154.395452131926[/C][C]4.33532585991864[/C][/ROW]
[ROW][C]0.87[/C][C]155.560319477187[/C][C]3.93359613365764[/C][/ROW]
[ROW][C]0.88[/C][C]156.643602816187[/C][C]3.51611512336378[/C][/ROW]
[ROW][C]0.89[/C][C]157.644752012849[/C][C]3.1069657644629[/C][/ROW]
[ROW][C]0.9[/C][C]158.571152320096[/C][C]2.73329611502025[/C][/ROW]
[ROW][C]0.91[/C][C]159.438168991052[/C][C]2.4216917394118[/C][/ROW]
[ROW][C]0.92[/C][C]160.26844795438[/C][C]2.18819835190985[/C][/ROW]
[ROW][C]0.93[/C][C]161.093390809382[/C][C]2.03155007447523[/C][/ROW]
[ROW][C]0.94[/C][C]161.963246557069[/C][C]1.95251564638093[/C][/ROW]
[ROW][C]0.95[/C][C]162.973125465979[/C][C]2.00982196193249[/C][/ROW]
[ROW][C]0.96[/C][C]164.303690917654[/C][C]2.35713543517531[/C][/ROW]
[ROW][C]0.97[/C][C]166.241014999694[/C][C]3.13481024833362[/C][/ROW]
[ROW][C]0.98[/C][C]169.045809480788[/C][C]4.33290968546726[/C][/ROW]
[ROW][C]0.99[/C][C]172.446727334245[/C][C]5.78342434641992[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79142&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79142&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
0.0173.32453687371950.741504995863372
0.0273.76229158055070.584562796576076
0.0374.1887735232150.717211893284253
0.0474.61543920624150.931255359684326
0.0575.06298690991221.05494909414492
0.0675.51784819800821.07201558085363
0.0775.95552810060691.03906735616066
0.0876.36284293530421.00970147839229
0.0976.74090622545461.00468293462751
0.177.09896355231331.02636609079872
0.1177.44927125239191.08128253215704
0.1277.80563118070441.18516531351291
0.1378.18379954916861.35561256998125
0.1478.60169477348971.60511782210789
0.1579.07864008951051.93788512837205
0.1679.6338909629042.35134419999394
0.1780.28495128144422.83686893281864
0.1881.04600887225543.37927402028985
0.1981.92662659576063.95782971001686
0.282.93077624172264.54599286125435
0.2184.05634745621995.11572561443274
0.2285.29528298303355.6402123850602
0.2386.63441646061446.09869191417013
0.2488.05693864413496.47835845841262
0.2589.54426302241466.77521519661954
0.2691.07796865986.99415109769986
0.2792.64149270368157.14644304423926
0.2894.22131256404747.24814307701102
0.2995.80746519667827.31598066168407
0.397.39336981369657.36470108745268
0.3198.97503558152457.40419941839471
0.32100.5498396032647.43661887446065
0.33102.1151418473127.45648714067294
0.34103.6670448251567.4509325488665
0.35105.199587939087.40488435210125
0.36106.7045813552357.30364244168636
0.37108.1721435376777.13823928133197
0.38109.5918418345476.9079493434243
0.39110.9541894554696.62161174262365
0.4112.2521643695446.2969908325178
0.41113.4824092867965.95812103357571
0.42114.6458468599855.63157377522036
0.43115.7475784063395.34172184501101
0.44116.7960916643145.10660197495246
0.45117.8019445590204.93473577611354
0.46118.7761867104274.82433419789221
0.47119.7288121991114.76376815230122
0.48120.6675060982084.73525287390905
0.49121.5968675152924.71825230580575
0.5122.5181857945214.69399701982761
0.51123.4297387219044.64679424890192
0.52124.3274934891314.5672423596848
0.53125.2060374592344.45158755766235
0.54126.0595526535324.30131379045137
0.55126.8826731008294.12249454472373
0.56127.6711182802673.92334290637473
0.57128.4220642902863.71275536808
0.58129.1342803366283.50020804562996
0.59129.8081061093083.29319940371947
0.6130.4453647551403.09806064471586
0.61131.0492931237372.92112529306425
0.62131.6245313358712.76809775913868
0.63132.1771610978992.64627885770097
0.64132.7147348936402.56291513925788
0.65133.2462139721692.52613817872721
0.66133.7817430564272.54173126994322
0.67134.3322336090512.61282660161915
0.68134.9087918963872.73723684491248
0.69135.5220894515342.90829101399202
0.7136.1818057649453.11662506986537
0.71136.8962577183733.35207469367693
0.72137.6722658956923.60508982302854
0.73138.5152137058553.86890657917821
0.74139.4291669102344.13832530810864
0.75140.4168782510534.40863117622117
0.76141.479531301244.67341912556485
0.77142.6161795079544.92312561878696
0.78143.8229793687665.14371145012218
0.79145.0924463917745.31788386329886
0.8146.4130214123015.42764334005108
0.81147.7691871538765.45746863007359
0.82149.1422269114115.39757892117681
0.83150.5115234479155.24618524205349
0.84151.8561443511555.00948480351285
0.85153.1564333613014.70024784433764
0.86154.3954521319264.33532585991864
0.87155.5603194771873.93359613365764
0.88156.6436028161873.51611512336378
0.89157.6447520128493.1069657644629
0.9158.5711523200962.73329611502025
0.91159.4381689910522.4216917394118
0.92160.268447954382.18819835190985
0.93161.0933908093822.03155007447523
0.94161.9632465570691.95251564638093
0.95162.9731254659792.00982196193249
0.96164.3036909176542.35713543517531
0.97166.2410149996943.13481024833362
0.98169.0458094807884.33290968546726
0.99172.4467273342455.78342434641992


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')