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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 13:29:37 +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/t1282052104d3fhyzl31nh4kbf.htm/, Retrieved Sat, 27 Apr 2024 06:25:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79119, Retrieved Sat, 27 Apr 2024 06:25:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsGregory Goris
Estimated Impact115

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 - Sta...] [2010-08-17 13:29:37] [4069dbe0e58b4004934f5f5b0dc60f40] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
159
158
157
155
175
174
159
149
150
150
151
153
146
156
154
151
171
167
144
138
138
132
132
132
125
131
129
131
145
156
126
123
127
116
114
114
109
110
113
114
138
155
126
123
124
124
134
131
126
128
128
124
148
174
146
137
152
159
170
166
165
168
175
180
199
228
206
193
201
214
225
224
215
222
238
248
262
288
261
240
248
260
266
268
256
261
287
295
304
331
299
275
293
309
311
311
289
298
319
325
331
348
320
305
322
337
346
343
321
331
343
345
347
363
322
304
323
340
352
351

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79119&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79119&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79119&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01110.088630896351.7656364839332
0.02111.8407405830982.07601920518978
0.03113.5436688165692.22189409929165
0.04115.1993802642432.99537197186015
0.05117.0157377041653.81293592309812
0.06118.9629474831454.04280577465376
0.07120.8148846624043.63020137722453
0.08122.3746938081322.92526628877912
0.09123.5934057450542.30729764965154
0.1124.5423976606211.96139629113275
0.11125.3329153282061.87308823762834
0.12126.0589098280751.94607618357719
0.13126.7793514441752.09796008153513
0.14127.5237958419042.27981056998262
0.15128.3041959912462.46915399895633
0.16129.1253703940182.66668017905297
0.17129.9925415302972.89177258778996
0.18130.9156387060243.17312377825959
0.19131.9099043797733.53064998024704
0.2132.9928839274793.96271292048037
0.21134.1790635390494.44150974539069
0.22135.4742889219764.92031860926373
0.23136.8720338139305.34487210751023
0.24138.3527084744235.66684501721983
0.25139.8860523601995.85244871188809
0.26141.4357547135835.88804672046233
0.27142.9650155617475.7811479723618
0.28144.4417607414195.55910459606489
0.29145.8425164026485.2609273541823
0.3147.1543976866044.93084332948749
0.31148.3751657693274.6104602446417
0.32149.5117519079784.33336865797462
0.33150.5779315269494.1218500421688
0.34151.5918854035193.98929014410362
0.35152.5742112567543.94188872410254
0.36153.5466309814143.98302955414111
0.37154.5313100410784.11552821714085
0.38155.5504966288414.34166301434163
0.39156.6261747241324.66071021465477
0.4157.7795974428515.0687145322997
0.41159.0308317674725.55824856835371
0.42160.3986602736116.12087132079953
0.43161.9012154497726.75371866288993
0.44163.5575027254537.4644481060819
0.45165.3895450017768.27407951547947
0.46167.4244105973239.21382956675257
0.47169.69508618212610.3169634972803
0.48172.23921980199211.6027713536384
0.49175.09526114999813.0633993283226
0.5178.2963627214514.6551050037812
0.51181.86330258820716.3000887321221
0.52185.79829269419117.8950502114071
0.53190.08155367139119.3326934110627
0.54194.67187794358820.5209433368441
0.55199.51124745953721.4008370332103
0.56204.53232567656921.9547689872003
0.57209.66678227358122.2054403536861
0.58214.85228237969622.2010982085362
0.59220.03664137624321.9993456926721
0.6225.17884187361821.6517135284331
0.61230.24782870406921.1942943121417
0.62235.22071147619720.651817040069
0.63240.08188900707820.0461429334216
0.64244.82370916980419.4077603449720
0.65249.44801369043918.7815171310287
0.66253.96693006922318.2195630729453
0.67258.40113190209617.7649009710005
0.68262.77469673680717.4283541139193
0.69267.10732371764817.1788417677311
0.7271.40627559893516.9419176772788
0.71275.66113585035616.6263476041430
0.72279.84383035138416.1542349890865
0.73283.91451817159915.4888952023021
0.74287.83168559195414.6457534193726
0.75291.56308816665213.6884686856371
0.76295.09379818204712.7064616182039
0.77298.42864028727411.7869338619130
0.78301.5882822417910.9894015620387
0.79304.60048722490410.3268192288275
0.8307.4898704246429.76686969421981
0.81310.2703870275279.25034876572973
0.82312.9442150669558.71986769172318
0.83315.5083939481478.15548996282691
0.84317.9669511584747.59236286086443
0.85320.3428155370607.11191031176156
0.86322.6827097843916.80470369732248
0.87325.0506170758616.71583134020448
0.88327.510183789646.80758026661513
0.89330.1008529585336.96616345660784
0.9332.815161012657.03313476574781
0.91335.5864979353806.84707309400782
0.92338.297884526056.3027669478882
0.93340.8185698139925.42158916242204
0.94343.0622109400154.38053119878376
0.95345.0439637204623.45564370620751
0.96346.9143897846062.90204196397675
0.97349.0187266098952.82612508522851
0.98352.1714141425523.55464868686746
0.99357.5500785876606.67919627792336

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 110.08863089635 & 1.7656364839332 \tabularnewline
0.02 & 111.840740583098 & 2.07601920518978 \tabularnewline
0.03 & 113.543668816569 & 2.22189409929165 \tabularnewline
0.04 & 115.199380264243 & 2.99537197186015 \tabularnewline
0.05 & 117.015737704165 & 3.81293592309812 \tabularnewline
0.06 & 118.962947483145 & 4.04280577465376 \tabularnewline
0.07 & 120.814884662404 & 3.63020137722453 \tabularnewline
0.08 & 122.374693808132 & 2.92526628877912 \tabularnewline
0.09 & 123.593405745054 & 2.30729764965154 \tabularnewline
0.1 & 124.542397660621 & 1.96139629113275 \tabularnewline
0.11 & 125.332915328206 & 1.87308823762834 \tabularnewline
0.12 & 126.058909828075 & 1.94607618357719 \tabularnewline
0.13 & 126.779351444175 & 2.09796008153513 \tabularnewline
0.14 & 127.523795841904 & 2.27981056998262 \tabularnewline
0.15 & 128.304195991246 & 2.46915399895633 \tabularnewline
0.16 & 129.125370394018 & 2.66668017905297 \tabularnewline
0.17 & 129.992541530297 & 2.89177258778996 \tabularnewline
0.18 & 130.915638706024 & 3.17312377825959 \tabularnewline
0.19 & 131.909904379773 & 3.53064998024704 \tabularnewline
0.2 & 132.992883927479 & 3.96271292048037 \tabularnewline
0.21 & 134.179063539049 & 4.44150974539069 \tabularnewline
0.22 & 135.474288921976 & 4.92031860926373 \tabularnewline
0.23 & 136.872033813930 & 5.34487210751023 \tabularnewline
0.24 & 138.352708474423 & 5.66684501721983 \tabularnewline
0.25 & 139.886052360199 & 5.85244871188809 \tabularnewline
0.26 & 141.435754713583 & 5.88804672046233 \tabularnewline
0.27 & 142.965015561747 & 5.7811479723618 \tabularnewline
0.28 & 144.441760741419 & 5.55910459606489 \tabularnewline
0.29 & 145.842516402648 & 5.2609273541823 \tabularnewline
0.3 & 147.154397686604 & 4.93084332948749 \tabularnewline
0.31 & 148.375165769327 & 4.6104602446417 \tabularnewline
0.32 & 149.511751907978 & 4.33336865797462 \tabularnewline
0.33 & 150.577931526949 & 4.1218500421688 \tabularnewline
0.34 & 151.591885403519 & 3.98929014410362 \tabularnewline
0.35 & 152.574211256754 & 3.94188872410254 \tabularnewline
0.36 & 153.546630981414 & 3.98302955414111 \tabularnewline
0.37 & 154.531310041078 & 4.11552821714085 \tabularnewline
0.38 & 155.550496628841 & 4.34166301434163 \tabularnewline
0.39 & 156.626174724132 & 4.66071021465477 \tabularnewline
0.4 & 157.779597442851 & 5.0687145322997 \tabularnewline
0.41 & 159.030831767472 & 5.55824856835371 \tabularnewline
0.42 & 160.398660273611 & 6.12087132079953 \tabularnewline
0.43 & 161.901215449772 & 6.75371866288993 \tabularnewline
0.44 & 163.557502725453 & 7.4644481060819 \tabularnewline
0.45 & 165.389545001776 & 8.27407951547947 \tabularnewline
0.46 & 167.424410597323 & 9.21382956675257 \tabularnewline
0.47 & 169.695086182126 & 10.3169634972803 \tabularnewline
0.48 & 172.239219801992 & 11.6027713536384 \tabularnewline
0.49 & 175.095261149998 & 13.0633993283226 \tabularnewline
0.5 & 178.29636272145 & 14.6551050037812 \tabularnewline
0.51 & 181.863302588207 & 16.3000887321221 \tabularnewline
0.52 & 185.798292694191 & 17.8950502114071 \tabularnewline
0.53 & 190.081553671391 & 19.3326934110627 \tabularnewline
0.54 & 194.671877943588 & 20.5209433368441 \tabularnewline
0.55 & 199.511247459537 & 21.4008370332103 \tabularnewline
0.56 & 204.532325676569 & 21.9547689872003 \tabularnewline
0.57 & 209.666782273581 & 22.2054403536861 \tabularnewline
0.58 & 214.852282379696 & 22.2010982085362 \tabularnewline
0.59 & 220.036641376243 & 21.9993456926721 \tabularnewline
0.6 & 225.178841873618 & 21.6517135284331 \tabularnewline
0.61 & 230.247828704069 & 21.1942943121417 \tabularnewline
0.62 & 235.220711476197 & 20.651817040069 \tabularnewline
0.63 & 240.081889007078 & 20.0461429334216 \tabularnewline
0.64 & 244.823709169804 & 19.4077603449720 \tabularnewline
0.65 & 249.448013690439 & 18.7815171310287 \tabularnewline
0.66 & 253.966930069223 & 18.2195630729453 \tabularnewline
0.67 & 258.401131902096 & 17.7649009710005 \tabularnewline
0.68 & 262.774696736807 & 17.4283541139193 \tabularnewline
0.69 & 267.107323717648 & 17.1788417677311 \tabularnewline
0.7 & 271.406275598935 & 16.9419176772788 \tabularnewline
0.71 & 275.661135850356 & 16.6263476041430 \tabularnewline
0.72 & 279.843830351384 & 16.1542349890865 \tabularnewline
0.73 & 283.914518171599 & 15.4888952023021 \tabularnewline
0.74 & 287.831685591954 & 14.6457534193726 \tabularnewline
0.75 & 291.563088166652 & 13.6884686856371 \tabularnewline
0.76 & 295.093798182047 & 12.7064616182039 \tabularnewline
0.77 & 298.428640287274 & 11.7869338619130 \tabularnewline
0.78 & 301.58828224179 & 10.9894015620387 \tabularnewline
0.79 & 304.600487224904 & 10.3268192288275 \tabularnewline
0.8 & 307.489870424642 & 9.76686969421981 \tabularnewline
0.81 & 310.270387027527 & 9.25034876572973 \tabularnewline
0.82 & 312.944215066955 & 8.71986769172318 \tabularnewline
0.83 & 315.508393948147 & 8.15548996282691 \tabularnewline
0.84 & 317.966951158474 & 7.59236286086443 \tabularnewline
0.85 & 320.342815537060 & 7.11191031176156 \tabularnewline
0.86 & 322.682709784391 & 6.80470369732248 \tabularnewline
0.87 & 325.050617075861 & 6.71583134020448 \tabularnewline
0.88 & 327.51018378964 & 6.80758026661513 \tabularnewline
0.89 & 330.100852958533 & 6.96616345660784 \tabularnewline
0.9 & 332.81516101265 & 7.03313476574781 \tabularnewline
0.91 & 335.586497935380 & 6.84707309400782 \tabularnewline
0.92 & 338.29788452605 & 6.3027669478882 \tabularnewline
0.93 & 340.818569813992 & 5.42158916242204 \tabularnewline
0.94 & 343.062210940015 & 4.38053119878376 \tabularnewline
0.95 & 345.043963720462 & 3.45564370620751 \tabularnewline
0.96 & 346.914389784606 & 2.90204196397675 \tabularnewline
0.97 & 349.018726609895 & 2.82612508522851 \tabularnewline
0.98 & 352.171414142552 & 3.55464868686746 \tabularnewline
0.99 & 357.550078587660 & 6.67919627792336 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79119&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]110.08863089635[/C][C]1.7656364839332[/C][/ROW]
[ROW][C]0.02[/C][C]111.840740583098[/C][C]2.07601920518978[/C][/ROW]
[ROW][C]0.03[/C][C]113.543668816569[/C][C]2.22189409929165[/C][/ROW]
[ROW][C]0.04[/C][C]115.199380264243[/C][C]2.99537197186015[/C][/ROW]
[ROW][C]0.05[/C][C]117.015737704165[/C][C]3.81293592309812[/C][/ROW]
[ROW][C]0.06[/C][C]118.962947483145[/C][C]4.04280577465376[/C][/ROW]
[ROW][C]0.07[/C][C]120.814884662404[/C][C]3.63020137722453[/C][/ROW]
[ROW][C]0.08[/C][C]122.374693808132[/C][C]2.92526628877912[/C][/ROW]
[ROW][C]0.09[/C][C]123.593405745054[/C][C]2.30729764965154[/C][/ROW]
[ROW][C]0.1[/C][C]124.542397660621[/C][C]1.96139629113275[/C][/ROW]
[ROW][C]0.11[/C][C]125.332915328206[/C][C]1.87308823762834[/C][/ROW]
[ROW][C]0.12[/C][C]126.058909828075[/C][C]1.94607618357719[/C][/ROW]
[ROW][C]0.13[/C][C]126.779351444175[/C][C]2.09796008153513[/C][/ROW]
[ROW][C]0.14[/C][C]127.523795841904[/C][C]2.27981056998262[/C][/ROW]
[ROW][C]0.15[/C][C]128.304195991246[/C][C]2.46915399895633[/C][/ROW]
[ROW][C]0.16[/C][C]129.125370394018[/C][C]2.66668017905297[/C][/ROW]
[ROW][C]0.17[/C][C]129.992541530297[/C][C]2.89177258778996[/C][/ROW]
[ROW][C]0.18[/C][C]130.915638706024[/C][C]3.17312377825959[/C][/ROW]
[ROW][C]0.19[/C][C]131.909904379773[/C][C]3.53064998024704[/C][/ROW]
[ROW][C]0.2[/C][C]132.992883927479[/C][C]3.96271292048037[/C][/ROW]
[ROW][C]0.21[/C][C]134.179063539049[/C][C]4.44150974539069[/C][/ROW]
[ROW][C]0.22[/C][C]135.474288921976[/C][C]4.92031860926373[/C][/ROW]
[ROW][C]0.23[/C][C]136.872033813930[/C][C]5.34487210751023[/C][/ROW]
[ROW][C]0.24[/C][C]138.352708474423[/C][C]5.66684501721983[/C][/ROW]
[ROW][C]0.25[/C][C]139.886052360199[/C][C]5.85244871188809[/C][/ROW]
[ROW][C]0.26[/C][C]141.435754713583[/C][C]5.88804672046233[/C][/ROW]
[ROW][C]0.27[/C][C]142.965015561747[/C][C]5.7811479723618[/C][/ROW]
[ROW][C]0.28[/C][C]144.441760741419[/C][C]5.55910459606489[/C][/ROW]
[ROW][C]0.29[/C][C]145.842516402648[/C][C]5.2609273541823[/C][/ROW]
[ROW][C]0.3[/C][C]147.154397686604[/C][C]4.93084332948749[/C][/ROW]
[ROW][C]0.31[/C][C]148.375165769327[/C][C]4.6104602446417[/C][/ROW]
[ROW][C]0.32[/C][C]149.511751907978[/C][C]4.33336865797462[/C][/ROW]
[ROW][C]0.33[/C][C]150.577931526949[/C][C]4.1218500421688[/C][/ROW]
[ROW][C]0.34[/C][C]151.591885403519[/C][C]3.98929014410362[/C][/ROW]
[ROW][C]0.35[/C][C]152.574211256754[/C][C]3.94188872410254[/C][/ROW]
[ROW][C]0.36[/C][C]153.546630981414[/C][C]3.98302955414111[/C][/ROW]
[ROW][C]0.37[/C][C]154.531310041078[/C][C]4.11552821714085[/C][/ROW]
[ROW][C]0.38[/C][C]155.550496628841[/C][C]4.34166301434163[/C][/ROW]
[ROW][C]0.39[/C][C]156.626174724132[/C][C]4.66071021465477[/C][/ROW]
[ROW][C]0.4[/C][C]157.779597442851[/C][C]5.0687145322997[/C][/ROW]
[ROW][C]0.41[/C][C]159.030831767472[/C][C]5.55824856835371[/C][/ROW]
[ROW][C]0.42[/C][C]160.398660273611[/C][C]6.12087132079953[/C][/ROW]
[ROW][C]0.43[/C][C]161.901215449772[/C][C]6.75371866288993[/C][/ROW]
[ROW][C]0.44[/C][C]163.557502725453[/C][C]7.4644481060819[/C][/ROW]
[ROW][C]0.45[/C][C]165.389545001776[/C][C]8.27407951547947[/C][/ROW]
[ROW][C]0.46[/C][C]167.424410597323[/C][C]9.21382956675257[/C][/ROW]
[ROW][C]0.47[/C][C]169.695086182126[/C][C]10.3169634972803[/C][/ROW]
[ROW][C]0.48[/C][C]172.239219801992[/C][C]11.6027713536384[/C][/ROW]
[ROW][C]0.49[/C][C]175.095261149998[/C][C]13.0633993283226[/C][/ROW]
[ROW][C]0.5[/C][C]178.29636272145[/C][C]14.6551050037812[/C][/ROW]
[ROW][C]0.51[/C][C]181.863302588207[/C][C]16.3000887321221[/C][/ROW]
[ROW][C]0.52[/C][C]185.798292694191[/C][C]17.8950502114071[/C][/ROW]
[ROW][C]0.53[/C][C]190.081553671391[/C][C]19.3326934110627[/C][/ROW]
[ROW][C]0.54[/C][C]194.671877943588[/C][C]20.5209433368441[/C][/ROW]
[ROW][C]0.55[/C][C]199.511247459537[/C][C]21.4008370332103[/C][/ROW]
[ROW][C]0.56[/C][C]204.532325676569[/C][C]21.9547689872003[/C][/ROW]
[ROW][C]0.57[/C][C]209.666782273581[/C][C]22.2054403536861[/C][/ROW]
[ROW][C]0.58[/C][C]214.852282379696[/C][C]22.2010982085362[/C][/ROW]
[ROW][C]0.59[/C][C]220.036641376243[/C][C]21.9993456926721[/C][/ROW]
[ROW][C]0.6[/C][C]225.178841873618[/C][C]21.6517135284331[/C][/ROW]
[ROW][C]0.61[/C][C]230.247828704069[/C][C]21.1942943121417[/C][/ROW]
[ROW][C]0.62[/C][C]235.220711476197[/C][C]20.651817040069[/C][/ROW]
[ROW][C]0.63[/C][C]240.081889007078[/C][C]20.0461429334216[/C][/ROW]
[ROW][C]0.64[/C][C]244.823709169804[/C][C]19.4077603449720[/C][/ROW]
[ROW][C]0.65[/C][C]249.448013690439[/C][C]18.7815171310287[/C][/ROW]
[ROW][C]0.66[/C][C]253.966930069223[/C][C]18.2195630729453[/C][/ROW]
[ROW][C]0.67[/C][C]258.401131902096[/C][C]17.7649009710005[/C][/ROW]
[ROW][C]0.68[/C][C]262.774696736807[/C][C]17.4283541139193[/C][/ROW]
[ROW][C]0.69[/C][C]267.107323717648[/C][C]17.1788417677311[/C][/ROW]
[ROW][C]0.7[/C][C]271.406275598935[/C][C]16.9419176772788[/C][/ROW]
[ROW][C]0.71[/C][C]275.661135850356[/C][C]16.6263476041430[/C][/ROW]
[ROW][C]0.72[/C][C]279.843830351384[/C][C]16.1542349890865[/C][/ROW]
[ROW][C]0.73[/C][C]283.914518171599[/C][C]15.4888952023021[/C][/ROW]
[ROW][C]0.74[/C][C]287.831685591954[/C][C]14.6457534193726[/C][/ROW]
[ROW][C]0.75[/C][C]291.563088166652[/C][C]13.6884686856371[/C][/ROW]
[ROW][C]0.76[/C][C]295.093798182047[/C][C]12.7064616182039[/C][/ROW]
[ROW][C]0.77[/C][C]298.428640287274[/C][C]11.7869338619130[/C][/ROW]
[ROW][C]0.78[/C][C]301.58828224179[/C][C]10.9894015620387[/C][/ROW]
[ROW][C]0.79[/C][C]304.600487224904[/C][C]10.3268192288275[/C][/ROW]
[ROW][C]0.8[/C][C]307.489870424642[/C][C]9.76686969421981[/C][/ROW]
[ROW][C]0.81[/C][C]310.270387027527[/C][C]9.25034876572973[/C][/ROW]
[ROW][C]0.82[/C][C]312.944215066955[/C][C]8.71986769172318[/C][/ROW]
[ROW][C]0.83[/C][C]315.508393948147[/C][C]8.15548996282691[/C][/ROW]
[ROW][C]0.84[/C][C]317.966951158474[/C][C]7.59236286086443[/C][/ROW]
[ROW][C]0.85[/C][C]320.342815537060[/C][C]7.11191031176156[/C][/ROW]
[ROW][C]0.86[/C][C]322.682709784391[/C][C]6.80470369732248[/C][/ROW]
[ROW][C]0.87[/C][C]325.050617075861[/C][C]6.71583134020448[/C][/ROW]
[ROW][C]0.88[/C][C]327.51018378964[/C][C]6.80758026661513[/C][/ROW]
[ROW][C]0.89[/C][C]330.100852958533[/C][C]6.96616345660784[/C][/ROW]
[ROW][C]0.9[/C][C]332.81516101265[/C][C]7.03313476574781[/C][/ROW]
[ROW][C]0.91[/C][C]335.586497935380[/C][C]6.84707309400782[/C][/ROW]
[ROW][C]0.92[/C][C]338.29788452605[/C][C]6.3027669478882[/C][/ROW]
[ROW][C]0.93[/C][C]340.818569813992[/C][C]5.42158916242204[/C][/ROW]
[ROW][C]0.94[/C][C]343.062210940015[/C][C]4.38053119878376[/C][/ROW]
[ROW][C]0.95[/C][C]345.043963720462[/C][C]3.45564370620751[/C][/ROW]
[ROW][C]0.96[/C][C]346.914389784606[/C][C]2.90204196397675[/C][/ROW]
[ROW][C]0.97[/C][C]349.018726609895[/C][C]2.82612508522851[/C][/ROW]
[ROW][C]0.98[/C][C]352.171414142552[/C][C]3.55464868686746[/C][/ROW]
[ROW][C]0.99[/C][C]357.550078587660[/C][C]6.67919627792336[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79119&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79119&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
0.01110.088630896351.7656364839332
0.02111.8407405830982.07601920518978
0.03113.5436688165692.22189409929165
0.04115.1993802642432.99537197186015
0.05117.0157377041653.81293592309812
0.06118.9629474831454.04280577465376
0.07120.8148846624043.63020137722453
0.08122.3746938081322.92526628877912
0.09123.5934057450542.30729764965154
0.1124.5423976606211.96139629113275
0.11125.3329153282061.87308823762834
0.12126.0589098280751.94607618357719
0.13126.7793514441752.09796008153513
0.14127.5237958419042.27981056998262
0.15128.3041959912462.46915399895633
0.16129.1253703940182.66668017905297
0.17129.9925415302972.89177258778996
0.18130.9156387060243.17312377825959
0.19131.9099043797733.53064998024704
0.2132.9928839274793.96271292048037
0.21134.1790635390494.44150974539069
0.22135.4742889219764.92031860926373
0.23136.8720338139305.34487210751023
0.24138.3527084744235.66684501721983
0.25139.8860523601995.85244871188809
0.26141.4357547135835.88804672046233
0.27142.9650155617475.7811479723618
0.28144.4417607414195.55910459606489
0.29145.8425164026485.2609273541823
0.3147.1543976866044.93084332948749
0.31148.3751657693274.6104602446417
0.32149.5117519079784.33336865797462
0.33150.5779315269494.1218500421688
0.34151.5918854035193.98929014410362
0.35152.5742112567543.94188872410254
0.36153.5466309814143.98302955414111
0.37154.5313100410784.11552821714085
0.38155.5504966288414.34166301434163
0.39156.6261747241324.66071021465477
0.4157.7795974428515.0687145322997
0.41159.0308317674725.55824856835371
0.42160.3986602736116.12087132079953
0.43161.9012154497726.75371866288993
0.44163.5575027254537.4644481060819
0.45165.3895450017768.27407951547947
0.46167.4244105973239.21382956675257
0.47169.69508618212610.3169634972803
0.48172.23921980199211.6027713536384
0.49175.09526114999813.0633993283226
0.5178.2963627214514.6551050037812
0.51181.86330258820716.3000887321221
0.52185.79829269419117.8950502114071
0.53190.08155367139119.3326934110627
0.54194.67187794358820.5209433368441
0.55199.51124745953721.4008370332103
0.56204.53232567656921.9547689872003
0.57209.66678227358122.2054403536861
0.58214.85228237969622.2010982085362
0.59220.03664137624321.9993456926721
0.6225.17884187361821.6517135284331
0.61230.24782870406921.1942943121417
0.62235.22071147619720.651817040069
0.63240.08188900707820.0461429334216
0.64244.82370916980419.4077603449720
0.65249.44801369043918.7815171310287
0.66253.96693006922318.2195630729453
0.67258.40113190209617.7649009710005
0.68262.77469673680717.4283541139193
0.69267.10732371764817.1788417677311
0.7271.40627559893516.9419176772788
0.71275.66113585035616.6263476041430
0.72279.84383035138416.1542349890865
0.73283.91451817159915.4888952023021
0.74287.83168559195414.6457534193726
0.75291.56308816665213.6884686856371
0.76295.09379818204712.7064616182039
0.77298.42864028727411.7869338619130
0.78301.5882822417910.9894015620387
0.79304.60048722490410.3268192288275
0.8307.4898704246429.76686969421981
0.81310.2703870275279.25034876572973
0.82312.9442150669558.71986769172318
0.83315.5083939481478.15548996282691
0.84317.9669511584747.59236286086443
0.85320.3428155370607.11191031176156
0.86322.6827097843916.80470369732248
0.87325.0506170758616.71583134020448
0.88327.510183789646.80758026661513
0.89330.1008529585336.96616345660784
0.9332.815161012657.03313476574781
0.91335.5864979353806.84707309400782
0.92338.297884526056.3027669478882
0.93340.8185698139925.42158916242204
0.94343.0622109400154.38053119878376
0.95345.0439637204623.45564370620751
0.96346.9143897846062.90204196397675
0.97349.0187266098952.82612508522851
0.98352.1714141425523.55464868686746
0.99357.5500785876606.67919627792336


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')