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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 computationSun, 15 Aug 2010 14:37:55 +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/15/t128188346929fv6pdo6mwl33c.htm/, Retrieved Sun, 28 Apr 2024 12:55:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78880, Retrieved Sun, 28 Apr 2024 12:55:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKalhöfer Pim
Estimated Impact122

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] [Tijdreeks A Stap 14] [2010-08-15 14:37:55] [06ce09a0492afa6d4f67026fd1b7902e] [Current]
- RMP     [Central Tendency] [Tijdreeks A Stap 14] [2010-08-15 14:47:46] [7c59b3cb1f989d121e67305e73d2c2d3]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
349
348
347
345
365
364
349
339
340
340
341
343
341
343
341
335
355
357
337
325
336
338
337
328
326
327
319
310
320
322
303
292
303
315
311
307
308
312
309
310
309
304
287
275
290
298
294
286
294
292
287
281
280
271
264
259
271
279
279
273
286
286
280
277
269
255
252
245
257
267
261
258
271
262
258
253
236
228
235
226
231
235
227
222
233
221
218
220
204
196
208
190
191
194
179
162
179
176
168
170
153
142
155
136
136
144
135
114
135
132
123
123
103
97
113
108
111
121
111
97

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=78880&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=78880&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78880&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
0.0198.5343843343543.33816985346082
0.02102.1086122165175.39111010684025
0.03106.2119487628115.27483765667222
0.04109.820172702934.98275636818
0.05112.9942369500235.54293868222293
0.06116.1401056228896.64767027518465
0.07119.4901064051487.7061658240527
0.08123.0393845303078.42802019888773
0.09126.6788613665278.84183462171239
0.1130.3264959128979.18101638997352
0.11133.9879191093119.73827355201146
0.12137.74855242024210.6973482210682
0.13141.72421721523812.0229548195193
0.14146.00363260846913.5036829321163
0.15150.61135282418614.8855085331150
0.16155.50399909974415.9833143120966
0.17160.59390878929916.7312351711237
0.18165.78317570585517.1725188585556
0.19170.99138234736417.4115593104947
0.2176.16812670394717.5564493599242
0.21181.29026288886617.6761557125739
0.22186.34945729077117.7792834115970
0.23191.33737865190417.8214652449932
0.24196.23467443480617.7313368483276
0.25201.00726974219217.4418498608636
0.26205.61053881938016.9211419638067
0.27209.99927533602116.1905693145296
0.28214.13968283544315.3231975251697
0.29218.01919914448414.4299310395355
0.3221.65090207999613.6297787317679
0.31225.07113564409813.0194172174925
0.32228.33115750508612.6459239145056
0.33231.48532896171412.4948863564965
0.34234.57918020138412.4972471914709
0.35237.64047127991912.5523610174805
0.36240.67531945685712.5570827304641
0.37243.66994490879212.4333061010100
0.38246.5970393845912.1417978809461
0.39249.42460739536011.6873770148733
0.4252.12467593754711.1130755692187
0.41254.67961659986310.4826067069251
0.42257.0848122118439.86115665646803
0.43259.3476515804329.30077396037308
0.44261.4839017859248.82769452403686
0.45263.5130511677798.44459536734682
0.46265.4541403086768.13653482755944
0.47267.3230553246467.88159638634357
0.48269.1315463954487.65921091621077
0.49270.8876486039897.45650390466064
0.5272.5968914808427.26707138706223
0.51274.2636964036397.09097542383922
0.52275.8925667484076.93078173837195
0.53277.4889266413356.79358658820547
0.54279.0596459149986.68588223994308
0.55280.6133524149326.61547994294204
0.56282.1605891354856.59032489043181
0.57283.7137705145966.6189333816
0.58285.2867912686986.70738562238618
0.59286.8941019018036.85798619286116
0.6288.549131073617.06145554098611
0.61290.2621183770557.30270760823943
0.62292.0376878170657.55115323961997
0.63293.8727595044947.76747076709164
0.64295.7555505086447.91159037253865
0.65297.6663482820947.95069175586556
0.66299.5803996292527.86725518708436
0.67301.4726866974687.66766456068955
0.68303.3237045975477.38723192008455
0.69305.1248327785197.08169466749445
0.7306.8817305387046.81952286825194
0.71308.6145295692036.6647394294328
0.72310.3544209030446.65958831219614
0.73312.1373126978866.8080768572737
0.74313.9961784006747.07494551258551
0.75315.9541095747157.40068858767728
0.76318.0197089474697.71793216132083
0.77320.1854482428677.96482437339898
0.78322.428489224338.0937577809801
0.79324.7128714117968.07156934215652
0.8326.9922569877677.87417293483113
0.81329.2133207825177.48848906991169
0.82331.3205781903916.91614560423092
0.83333.2632028880326.18614613510129
0.84335.0031841243115.35513037523604
0.85336.5228918965514.50306032710362
0.86337.8298467568323.71692898326031
0.87338.9574746936513.07535338071012
0.88339.9618952559382.63645167592747
0.89340.9150752714982.43107923262553
0.9341.8940401924392.44799678001067
0.91342.9665089758172.6193161237917
0.92344.1783805777962.83717787914722
0.93345.5573353696213.01332480004008
0.94347.1487490101763.17408340509770
0.95349.0769653668483.51259644778597
0.96351.5777232158264.1972088368445
0.97354.9091914402315.03900551940835
0.98359.0195764901485.36916220006301
0.99362.9646676464573.78744649997054

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.534384334354 & 3.33816985346082 \tabularnewline
0.02 & 102.108612216517 & 5.39111010684025 \tabularnewline
0.03 & 106.211948762811 & 5.27483765667222 \tabularnewline
0.04 & 109.82017270293 & 4.98275636818 \tabularnewline
0.05 & 112.994236950023 & 5.54293868222293 \tabularnewline
0.06 & 116.140105622889 & 6.64767027518465 \tabularnewline
0.07 & 119.490106405148 & 7.7061658240527 \tabularnewline
0.08 & 123.039384530307 & 8.42802019888773 \tabularnewline
0.09 & 126.678861366527 & 8.84183462171239 \tabularnewline
0.1 & 130.326495912897 & 9.18101638997352 \tabularnewline
0.11 & 133.987919109311 & 9.73827355201146 \tabularnewline
0.12 & 137.748552420242 & 10.6973482210682 \tabularnewline
0.13 & 141.724217215238 & 12.0229548195193 \tabularnewline
0.14 & 146.003632608469 & 13.5036829321163 \tabularnewline
0.15 & 150.611352824186 & 14.8855085331150 \tabularnewline
0.16 & 155.503999099744 & 15.9833143120966 \tabularnewline
0.17 & 160.593908789299 & 16.7312351711237 \tabularnewline
0.18 & 165.783175705855 & 17.1725188585556 \tabularnewline
0.19 & 170.991382347364 & 17.4115593104947 \tabularnewline
0.2 & 176.168126703947 & 17.5564493599242 \tabularnewline
0.21 & 181.290262888866 & 17.6761557125739 \tabularnewline
0.22 & 186.349457290771 & 17.7792834115970 \tabularnewline
0.23 & 191.337378651904 & 17.8214652449932 \tabularnewline
0.24 & 196.234674434806 & 17.7313368483276 \tabularnewline
0.25 & 201.007269742192 & 17.4418498608636 \tabularnewline
0.26 & 205.610538819380 & 16.9211419638067 \tabularnewline
0.27 & 209.999275336021 & 16.1905693145296 \tabularnewline
0.28 & 214.139682835443 & 15.3231975251697 \tabularnewline
0.29 & 218.019199144484 & 14.4299310395355 \tabularnewline
0.3 & 221.650902079996 & 13.6297787317679 \tabularnewline
0.31 & 225.071135644098 & 13.0194172174925 \tabularnewline
0.32 & 228.331157505086 & 12.6459239145056 \tabularnewline
0.33 & 231.485328961714 & 12.4948863564965 \tabularnewline
0.34 & 234.579180201384 & 12.4972471914709 \tabularnewline
0.35 & 237.640471279919 & 12.5523610174805 \tabularnewline
0.36 & 240.675319456857 & 12.5570827304641 \tabularnewline
0.37 & 243.669944908792 & 12.4333061010100 \tabularnewline
0.38 & 246.59703938459 & 12.1417978809461 \tabularnewline
0.39 & 249.424607395360 & 11.6873770148733 \tabularnewline
0.4 & 252.124675937547 & 11.1130755692187 \tabularnewline
0.41 & 254.679616599863 & 10.4826067069251 \tabularnewline
0.42 & 257.084812211843 & 9.86115665646803 \tabularnewline
0.43 & 259.347651580432 & 9.30077396037308 \tabularnewline
0.44 & 261.483901785924 & 8.82769452403686 \tabularnewline
0.45 & 263.513051167779 & 8.44459536734682 \tabularnewline
0.46 & 265.454140308676 & 8.13653482755944 \tabularnewline
0.47 & 267.323055324646 & 7.88159638634357 \tabularnewline
0.48 & 269.131546395448 & 7.65921091621077 \tabularnewline
0.49 & 270.887648603989 & 7.45650390466064 \tabularnewline
0.5 & 272.596891480842 & 7.26707138706223 \tabularnewline
0.51 & 274.263696403639 & 7.09097542383922 \tabularnewline
0.52 & 275.892566748407 & 6.93078173837195 \tabularnewline
0.53 & 277.488926641335 & 6.79358658820547 \tabularnewline
0.54 & 279.059645914998 & 6.68588223994308 \tabularnewline
0.55 & 280.613352414932 & 6.61547994294204 \tabularnewline
0.56 & 282.160589135485 & 6.59032489043181 \tabularnewline
0.57 & 283.713770514596 & 6.6189333816 \tabularnewline
0.58 & 285.286791268698 & 6.70738562238618 \tabularnewline
0.59 & 286.894101901803 & 6.85798619286116 \tabularnewline
0.6 & 288.54913107361 & 7.06145554098611 \tabularnewline
0.61 & 290.262118377055 & 7.30270760823943 \tabularnewline
0.62 & 292.037687817065 & 7.55115323961997 \tabularnewline
0.63 & 293.872759504494 & 7.76747076709164 \tabularnewline
0.64 & 295.755550508644 & 7.91159037253865 \tabularnewline
0.65 & 297.666348282094 & 7.95069175586556 \tabularnewline
0.66 & 299.580399629252 & 7.86725518708436 \tabularnewline
0.67 & 301.472686697468 & 7.66766456068955 \tabularnewline
0.68 & 303.323704597547 & 7.38723192008455 \tabularnewline
0.69 & 305.124832778519 & 7.08169466749445 \tabularnewline
0.7 & 306.881730538704 & 6.81952286825194 \tabularnewline
0.71 & 308.614529569203 & 6.6647394294328 \tabularnewline
0.72 & 310.354420903044 & 6.65958831219614 \tabularnewline
0.73 & 312.137312697886 & 6.8080768572737 \tabularnewline
0.74 & 313.996178400674 & 7.07494551258551 \tabularnewline
0.75 & 315.954109574715 & 7.40068858767728 \tabularnewline
0.76 & 318.019708947469 & 7.71793216132083 \tabularnewline
0.77 & 320.185448242867 & 7.96482437339898 \tabularnewline
0.78 & 322.42848922433 & 8.0937577809801 \tabularnewline
0.79 & 324.712871411796 & 8.07156934215652 \tabularnewline
0.8 & 326.992256987767 & 7.87417293483113 \tabularnewline
0.81 & 329.213320782517 & 7.48848906991169 \tabularnewline
0.82 & 331.320578190391 & 6.91614560423092 \tabularnewline
0.83 & 333.263202888032 & 6.18614613510129 \tabularnewline
0.84 & 335.003184124311 & 5.35513037523604 \tabularnewline
0.85 & 336.522891896551 & 4.50306032710362 \tabularnewline
0.86 & 337.829846756832 & 3.71692898326031 \tabularnewline
0.87 & 338.957474693651 & 3.07535338071012 \tabularnewline
0.88 & 339.961895255938 & 2.63645167592747 \tabularnewline
0.89 & 340.915075271498 & 2.43107923262553 \tabularnewline
0.9 & 341.894040192439 & 2.44799678001067 \tabularnewline
0.91 & 342.966508975817 & 2.6193161237917 \tabularnewline
0.92 & 344.178380577796 & 2.83717787914722 \tabularnewline
0.93 & 345.557335369621 & 3.01332480004008 \tabularnewline
0.94 & 347.148749010176 & 3.17408340509770 \tabularnewline
0.95 & 349.076965366848 & 3.51259644778597 \tabularnewline
0.96 & 351.577723215826 & 4.1972088368445 \tabularnewline
0.97 & 354.909191440231 & 5.03900551940835 \tabularnewline
0.98 & 359.019576490148 & 5.36916220006301 \tabularnewline
0.99 & 362.964667646457 & 3.78744649997054 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78880&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]98.534384334354[/C][C]3.33816985346082[/C][/ROW]
[ROW][C]0.02[/C][C]102.108612216517[/C][C]5.39111010684025[/C][/ROW]
[ROW][C]0.03[/C][C]106.211948762811[/C][C]5.27483765667222[/C][/ROW]
[ROW][C]0.04[/C][C]109.82017270293[/C][C]4.98275636818[/C][/ROW]
[ROW][C]0.05[/C][C]112.994236950023[/C][C]5.54293868222293[/C][/ROW]
[ROW][C]0.06[/C][C]116.140105622889[/C][C]6.64767027518465[/C][/ROW]
[ROW][C]0.07[/C][C]119.490106405148[/C][C]7.7061658240527[/C][/ROW]
[ROW][C]0.08[/C][C]123.039384530307[/C][C]8.42802019888773[/C][/ROW]
[ROW][C]0.09[/C][C]126.678861366527[/C][C]8.84183462171239[/C][/ROW]
[ROW][C]0.1[/C][C]130.326495912897[/C][C]9.18101638997352[/C][/ROW]
[ROW][C]0.11[/C][C]133.987919109311[/C][C]9.73827355201146[/C][/ROW]
[ROW][C]0.12[/C][C]137.748552420242[/C][C]10.6973482210682[/C][/ROW]
[ROW][C]0.13[/C][C]141.724217215238[/C][C]12.0229548195193[/C][/ROW]
[ROW][C]0.14[/C][C]146.003632608469[/C][C]13.5036829321163[/C][/ROW]
[ROW][C]0.15[/C][C]150.611352824186[/C][C]14.8855085331150[/C][/ROW]
[ROW][C]0.16[/C][C]155.503999099744[/C][C]15.9833143120966[/C][/ROW]
[ROW][C]0.17[/C][C]160.593908789299[/C][C]16.7312351711237[/C][/ROW]
[ROW][C]0.18[/C][C]165.783175705855[/C][C]17.1725188585556[/C][/ROW]
[ROW][C]0.19[/C][C]170.991382347364[/C][C]17.4115593104947[/C][/ROW]
[ROW][C]0.2[/C][C]176.168126703947[/C][C]17.5564493599242[/C][/ROW]
[ROW][C]0.21[/C][C]181.290262888866[/C][C]17.6761557125739[/C][/ROW]
[ROW][C]0.22[/C][C]186.349457290771[/C][C]17.7792834115970[/C][/ROW]
[ROW][C]0.23[/C][C]191.337378651904[/C][C]17.8214652449932[/C][/ROW]
[ROW][C]0.24[/C][C]196.234674434806[/C][C]17.7313368483276[/C][/ROW]
[ROW][C]0.25[/C][C]201.007269742192[/C][C]17.4418498608636[/C][/ROW]
[ROW][C]0.26[/C][C]205.610538819380[/C][C]16.9211419638067[/C][/ROW]
[ROW][C]0.27[/C][C]209.999275336021[/C][C]16.1905693145296[/C][/ROW]
[ROW][C]0.28[/C][C]214.139682835443[/C][C]15.3231975251697[/C][/ROW]
[ROW][C]0.29[/C][C]218.019199144484[/C][C]14.4299310395355[/C][/ROW]
[ROW][C]0.3[/C][C]221.650902079996[/C][C]13.6297787317679[/C][/ROW]
[ROW][C]0.31[/C][C]225.071135644098[/C][C]13.0194172174925[/C][/ROW]
[ROW][C]0.32[/C][C]228.331157505086[/C][C]12.6459239145056[/C][/ROW]
[ROW][C]0.33[/C][C]231.485328961714[/C][C]12.4948863564965[/C][/ROW]
[ROW][C]0.34[/C][C]234.579180201384[/C][C]12.4972471914709[/C][/ROW]
[ROW][C]0.35[/C][C]237.640471279919[/C][C]12.5523610174805[/C][/ROW]
[ROW][C]0.36[/C][C]240.675319456857[/C][C]12.5570827304641[/C][/ROW]
[ROW][C]0.37[/C][C]243.669944908792[/C][C]12.4333061010100[/C][/ROW]
[ROW][C]0.38[/C][C]246.59703938459[/C][C]12.1417978809461[/C][/ROW]
[ROW][C]0.39[/C][C]249.424607395360[/C][C]11.6873770148733[/C][/ROW]
[ROW][C]0.4[/C][C]252.124675937547[/C][C]11.1130755692187[/C][/ROW]
[ROW][C]0.41[/C][C]254.679616599863[/C][C]10.4826067069251[/C][/ROW]
[ROW][C]0.42[/C][C]257.084812211843[/C][C]9.86115665646803[/C][/ROW]
[ROW][C]0.43[/C][C]259.347651580432[/C][C]9.30077396037308[/C][/ROW]
[ROW][C]0.44[/C][C]261.483901785924[/C][C]8.82769452403686[/C][/ROW]
[ROW][C]0.45[/C][C]263.513051167779[/C][C]8.44459536734682[/C][/ROW]
[ROW][C]0.46[/C][C]265.454140308676[/C][C]8.13653482755944[/C][/ROW]
[ROW][C]0.47[/C][C]267.323055324646[/C][C]7.88159638634357[/C][/ROW]
[ROW][C]0.48[/C][C]269.131546395448[/C][C]7.65921091621077[/C][/ROW]
[ROW][C]0.49[/C][C]270.887648603989[/C][C]7.45650390466064[/C][/ROW]
[ROW][C]0.5[/C][C]272.596891480842[/C][C]7.26707138706223[/C][/ROW]
[ROW][C]0.51[/C][C]274.263696403639[/C][C]7.09097542383922[/C][/ROW]
[ROW][C]0.52[/C][C]275.892566748407[/C][C]6.93078173837195[/C][/ROW]
[ROW][C]0.53[/C][C]277.488926641335[/C][C]6.79358658820547[/C][/ROW]
[ROW][C]0.54[/C][C]279.059645914998[/C][C]6.68588223994308[/C][/ROW]
[ROW][C]0.55[/C][C]280.613352414932[/C][C]6.61547994294204[/C][/ROW]
[ROW][C]0.56[/C][C]282.160589135485[/C][C]6.59032489043181[/C][/ROW]
[ROW][C]0.57[/C][C]283.713770514596[/C][C]6.6189333816[/C][/ROW]
[ROW][C]0.58[/C][C]285.286791268698[/C][C]6.70738562238618[/C][/ROW]
[ROW][C]0.59[/C][C]286.894101901803[/C][C]6.85798619286116[/C][/ROW]
[ROW][C]0.6[/C][C]288.54913107361[/C][C]7.06145554098611[/C][/ROW]
[ROW][C]0.61[/C][C]290.262118377055[/C][C]7.30270760823943[/C][/ROW]
[ROW][C]0.62[/C][C]292.037687817065[/C][C]7.55115323961997[/C][/ROW]
[ROW][C]0.63[/C][C]293.872759504494[/C][C]7.76747076709164[/C][/ROW]
[ROW][C]0.64[/C][C]295.755550508644[/C][C]7.91159037253865[/C][/ROW]
[ROW][C]0.65[/C][C]297.666348282094[/C][C]7.95069175586556[/C][/ROW]
[ROW][C]0.66[/C][C]299.580399629252[/C][C]7.86725518708436[/C][/ROW]
[ROW][C]0.67[/C][C]301.472686697468[/C][C]7.66766456068955[/C][/ROW]
[ROW][C]0.68[/C][C]303.323704597547[/C][C]7.38723192008455[/C][/ROW]
[ROW][C]0.69[/C][C]305.124832778519[/C][C]7.08169466749445[/C][/ROW]
[ROW][C]0.7[/C][C]306.881730538704[/C][C]6.81952286825194[/C][/ROW]
[ROW][C]0.71[/C][C]308.614529569203[/C][C]6.6647394294328[/C][/ROW]
[ROW][C]0.72[/C][C]310.354420903044[/C][C]6.65958831219614[/C][/ROW]
[ROW][C]0.73[/C][C]312.137312697886[/C][C]6.8080768572737[/C][/ROW]
[ROW][C]0.74[/C][C]313.996178400674[/C][C]7.07494551258551[/C][/ROW]
[ROW][C]0.75[/C][C]315.954109574715[/C][C]7.40068858767728[/C][/ROW]
[ROW][C]0.76[/C][C]318.019708947469[/C][C]7.71793216132083[/C][/ROW]
[ROW][C]0.77[/C][C]320.185448242867[/C][C]7.96482437339898[/C][/ROW]
[ROW][C]0.78[/C][C]322.42848922433[/C][C]8.0937577809801[/C][/ROW]
[ROW][C]0.79[/C][C]324.712871411796[/C][C]8.07156934215652[/C][/ROW]
[ROW][C]0.8[/C][C]326.992256987767[/C][C]7.87417293483113[/C][/ROW]
[ROW][C]0.81[/C][C]329.213320782517[/C][C]7.48848906991169[/C][/ROW]
[ROW][C]0.82[/C][C]331.320578190391[/C][C]6.91614560423092[/C][/ROW]
[ROW][C]0.83[/C][C]333.263202888032[/C][C]6.18614613510129[/C][/ROW]
[ROW][C]0.84[/C][C]335.003184124311[/C][C]5.35513037523604[/C][/ROW]
[ROW][C]0.85[/C][C]336.522891896551[/C][C]4.50306032710362[/C][/ROW]
[ROW][C]0.86[/C][C]337.829846756832[/C][C]3.71692898326031[/C][/ROW]
[ROW][C]0.87[/C][C]338.957474693651[/C][C]3.07535338071012[/C][/ROW]
[ROW][C]0.88[/C][C]339.961895255938[/C][C]2.63645167592747[/C][/ROW]
[ROW][C]0.89[/C][C]340.915075271498[/C][C]2.43107923262553[/C][/ROW]
[ROW][C]0.9[/C][C]341.894040192439[/C][C]2.44799678001067[/C][/ROW]
[ROW][C]0.91[/C][C]342.966508975817[/C][C]2.6193161237917[/C][/ROW]
[ROW][C]0.92[/C][C]344.178380577796[/C][C]2.83717787914722[/C][/ROW]
[ROW][C]0.93[/C][C]345.557335369621[/C][C]3.01332480004008[/C][/ROW]
[ROW][C]0.94[/C][C]347.148749010176[/C][C]3.17408340509770[/C][/ROW]
[ROW][C]0.95[/C][C]349.076965366848[/C][C]3.51259644778597[/C][/ROW]
[ROW][C]0.96[/C][C]351.577723215826[/C][C]4.1972088368445[/C][/ROW]
[ROW][C]0.97[/C][C]354.909191440231[/C][C]5.03900551940835[/C][/ROW]
[ROW][C]0.98[/C][C]359.019576490148[/C][C]5.36916220006301[/C][/ROW]
[ROW][C]0.99[/C][C]362.964667646457[/C][C]3.78744649997054[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78880&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78880&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
0.0198.5343843343543.33816985346082
0.02102.1086122165175.39111010684025
0.03106.2119487628115.27483765667222
0.04109.820172702934.98275636818
0.05112.9942369500235.54293868222293
0.06116.1401056228896.64767027518465
0.07119.4901064051487.7061658240527
0.08123.0393845303078.42802019888773
0.09126.6788613665278.84183462171239
0.1130.3264959128979.18101638997352
0.11133.9879191093119.73827355201146
0.12137.74855242024210.6973482210682
0.13141.72421721523812.0229548195193
0.14146.00363260846913.5036829321163
0.15150.61135282418614.8855085331150
0.16155.50399909974415.9833143120966
0.17160.59390878929916.7312351711237
0.18165.78317570585517.1725188585556
0.19170.99138234736417.4115593104947
0.2176.16812670394717.5564493599242
0.21181.29026288886617.6761557125739
0.22186.34945729077117.7792834115970
0.23191.33737865190417.8214652449932
0.24196.23467443480617.7313368483276
0.25201.00726974219217.4418498608636
0.26205.61053881938016.9211419638067
0.27209.99927533602116.1905693145296
0.28214.13968283544315.3231975251697
0.29218.01919914448414.4299310395355
0.3221.65090207999613.6297787317679
0.31225.07113564409813.0194172174925
0.32228.33115750508612.6459239145056
0.33231.48532896171412.4948863564965
0.34234.57918020138412.4972471914709
0.35237.64047127991912.5523610174805
0.36240.67531945685712.5570827304641
0.37243.66994490879212.4333061010100
0.38246.5970393845912.1417978809461
0.39249.42460739536011.6873770148733
0.4252.12467593754711.1130755692187
0.41254.67961659986310.4826067069251
0.42257.0848122118439.86115665646803
0.43259.3476515804329.30077396037308
0.44261.4839017859248.82769452403686
0.45263.5130511677798.44459536734682
0.46265.4541403086768.13653482755944
0.47267.3230553246467.88159638634357
0.48269.1315463954487.65921091621077
0.49270.8876486039897.45650390466064
0.5272.5968914808427.26707138706223
0.51274.2636964036397.09097542383922
0.52275.8925667484076.93078173837195
0.53277.4889266413356.79358658820547
0.54279.0596459149986.68588223994308
0.55280.6133524149326.61547994294204
0.56282.1605891354856.59032489043181
0.57283.7137705145966.6189333816
0.58285.2867912686986.70738562238618
0.59286.8941019018036.85798619286116
0.6288.549131073617.06145554098611
0.61290.2621183770557.30270760823943
0.62292.0376878170657.55115323961997
0.63293.8727595044947.76747076709164
0.64295.7555505086447.91159037253865
0.65297.6663482820947.95069175586556
0.66299.5803996292527.86725518708436
0.67301.4726866974687.66766456068955
0.68303.3237045975477.38723192008455
0.69305.1248327785197.08169466749445
0.7306.8817305387046.81952286825194
0.71308.6145295692036.6647394294328
0.72310.3544209030446.65958831219614
0.73312.1373126978866.8080768572737
0.74313.9961784006747.07494551258551
0.75315.9541095747157.40068858767728
0.76318.0197089474697.71793216132083
0.77320.1854482428677.96482437339898
0.78322.428489224338.0937577809801
0.79324.7128714117968.07156934215652
0.8326.9922569877677.87417293483113
0.81329.2133207825177.48848906991169
0.82331.3205781903916.91614560423092
0.83333.2632028880326.18614613510129
0.84335.0031841243115.35513037523604
0.85336.5228918965514.50306032710362
0.86337.8298467568323.71692898326031
0.87338.9574746936513.07535338071012
0.88339.9618952559382.63645167592747
0.89340.9150752714982.43107923262553
0.9341.8940401924392.44799678001067
0.91342.9665089758172.6193161237917
0.92344.1783805777962.83717787914722
0.93345.5573353696213.01332480004008
0.94347.1487490101763.17408340509770
0.95349.0769653668483.51259644778597
0.96351.5777232158264.1972088368445
0.97354.9091914402315.03900551940835
0.98359.0195764901485.36916220006301
0.99362.9646676464573.78744649997054


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')