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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 computationThu, 19 Aug 2010 20:00:14 +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/19/t1282247989t3g1253mg9ou708.htm/, Retrieved Wed, 11 Feb 2026 21:44:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79363, Retrieved Wed, 11 Feb 2026 21:44:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsGregory Goris
Estimated Impact352

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 B - Stap 7] [2010-08-19 20:00:14] [4069dbe0e58b4004934f5f5b0dc60f40] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
225
224
223
221
219
218
219
221
222
222
223
225
226
229
235
229
231
229
226
232
234
230
232
231
237
241
256
255
264
259
253
258
265
258
257
255
255
255
275
276
278
268
253
257
255
253
245
248
246
243
260
262
262
251
236
238
239
243
233
238
232
224
238
236
231
209
179
179
165
174
163
166
164
152
163
167
157
138
111
110
91
100
88
89

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79363&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79363&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79363&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0188.97579272015952.49673748389642
0.0291.417970696275.92298934624827
0.0395.548317317728310.1259059215964
0.04101.30417918991814.2925553324596
0.05108.39315585598117.972691150046
0.06116.38206525512820.7037425758250
0.07124.75685645472121.9900188868078
0.08132.97795366124321.6028712295478
0.09140.56565591205119.7697303675773
0.1147.19395972760317.0855359714865
0.11152.74564086597814.2716553534005
0.12157.30554512321611.9674700702629
0.13161.10489166307510.6228572222136
0.14164.44628405735310.4367392098143
0.15167.63472950564311.3173778692767
0.16170.9269936975512.9605438942488
0.17174.50111115486814.9946334102342
0.18178.44327766995817.0520916293226
0.19182.74886795800118.8010458765650
0.2187.33498090765519.9733530496019
0.21192.06193982285320.3952590683088
0.22196.76034963290320.0086480291082
0.23201.25934451942618.8710149389668
0.24205.41138122655117.1352265255371
0.25209.10976723075315.0120568943458
0.26212.29690422216412.7284093333197
0.27214.96339586606110.4901371108196
0.28217.1400246210358.45618182015767
0.29218.8856486722156.72665084522712
0.3220.2741633990275.34543561299437
0.31221.3830033079324.31092504907786
0.32222.2846094681433.58876456286285
0.33223.0412429754293.12567812244402
0.34223.7027542856392.86026991526802
0.35224.3065209675722.73290980661351
0.36224.8787011616402.69283072478115
0.37225.4360989164122.70011690917506
0.38225.9881710978922.72583407698565
0.39226.5389254331382.74990260040265
0.4227.0886139753502.75952347952264
0.41227.6352060558492.74755076289482
0.42228.1756462569232.71363751172389
0.43228.7068928932252.66125832700989
0.44229.2267157583942.59725532879492
0.45229.7342249520922.53086102194930
0.46230.2301121222422.47189020366968
0.47230.7166100084282.42951926824680
0.48231.1972092451022.40953735922677
0.49231.6762043942542.41559624020176
0.5232.1581658073202.44675800976459
0.51232.6474436876732.49962053361814
0.52233.1478020300862.56819537061277
0.53233.6622528863862.64721161783237
0.54234.1931194327942.73222217640461
0.55234.7423069495792.82136517208717
0.56235.3117138661252.91582693862514
0.57235.9036806965853.01971600299421
0.58236.5213610729093.13894791114367
0.59237.1689097203443.28039257370083
0.6237.8514148061323.44913121115323
0.61238.5745488882683.647253049546
0.62239.3439628295643.87284000104791
0.63240.1644900178984.11906350817448
0.64241.0392572696664.37432011380838
0.65241.9688125774544.62364451688729
0.66242.9503817156384.84910191173404
0.67243.9773604489345.03156783420221
0.68245.0391391137115.15198090607784
0.69246.1213393135635.19371734352481
0.7247.2065121672985.14458679685899
0.71248.2752980402674.99850359635384
0.72249.307978780444.75758207765539
0.73250.2862742874134.43288885873565
0.74251.1951635298774.04361323603776
0.75252.0244672788813.61576396020727
0.76252.7699338154843.1789363624679
0.77253.4336284387642.76300793288852
0.78254.023539390532.39522218574161
0.79254.552460837092.09585819686674
0.8255.0363692167741.87704720513547
0.81255.4926322424241.74040794091163
0.82255.9384337149491.67728340578563
0.83256.3897254092071.67400015414207
0.84256.8608293312621.71663851601454
0.85257.3645719280941.79506195186265

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 88.9757927201595 & 2.49673748389642 \tabularnewline
0.02 & 91.41797069627 & 5.92298934624827 \tabularnewline
0.03 & 95.5483173177283 & 10.1259059215964 \tabularnewline
0.04 & 101.304179189918 & 14.2925553324596 \tabularnewline
0.05 & 108.393155855981 & 17.972691150046 \tabularnewline
0.06 & 116.382065255128 & 20.7037425758250 \tabularnewline
0.07 & 124.756856454721 & 21.9900188868078 \tabularnewline
0.08 & 132.977953661243 & 21.6028712295478 \tabularnewline
0.09 & 140.565655912051 & 19.7697303675773 \tabularnewline
0.1 & 147.193959727603 & 17.0855359714865 \tabularnewline
0.11 & 152.745640865978 & 14.2716553534005 \tabularnewline
0.12 & 157.305545123216 & 11.9674700702629 \tabularnewline
0.13 & 161.104891663075 & 10.6228572222136 \tabularnewline
0.14 & 164.446284057353 & 10.4367392098143 \tabularnewline
0.15 & 167.634729505643 & 11.3173778692767 \tabularnewline
0.16 & 170.92699369755 & 12.9605438942488 \tabularnewline
0.17 & 174.501111154868 & 14.9946334102342 \tabularnewline
0.18 & 178.443277669958 & 17.0520916293226 \tabularnewline
0.19 & 182.748867958001 & 18.8010458765650 \tabularnewline
0.2 & 187.334980907655 & 19.9733530496019 \tabularnewline
0.21 & 192.061939822853 & 20.3952590683088 \tabularnewline
0.22 & 196.760349632903 & 20.0086480291082 \tabularnewline
0.23 & 201.259344519426 & 18.8710149389668 \tabularnewline
0.24 & 205.411381226551 & 17.1352265255371 \tabularnewline
0.25 & 209.109767230753 & 15.0120568943458 \tabularnewline
0.26 & 212.296904222164 & 12.7284093333197 \tabularnewline
0.27 & 214.963395866061 & 10.4901371108196 \tabularnewline
0.28 & 217.140024621035 & 8.45618182015767 \tabularnewline
0.29 & 218.885648672215 & 6.72665084522712 \tabularnewline
0.3 & 220.274163399027 & 5.34543561299437 \tabularnewline
0.31 & 221.383003307932 & 4.31092504907786 \tabularnewline
0.32 & 222.284609468143 & 3.58876456286285 \tabularnewline
0.33 & 223.041242975429 & 3.12567812244402 \tabularnewline
0.34 & 223.702754285639 & 2.86026991526802 \tabularnewline
0.35 & 224.306520967572 & 2.73290980661351 \tabularnewline
0.36 & 224.878701161640 & 2.69283072478115 \tabularnewline
0.37 & 225.436098916412 & 2.70011690917506 \tabularnewline
0.38 & 225.988171097892 & 2.72583407698565 \tabularnewline
0.39 & 226.538925433138 & 2.74990260040265 \tabularnewline
0.4 & 227.088613975350 & 2.75952347952264 \tabularnewline
0.41 & 227.635206055849 & 2.74755076289482 \tabularnewline
0.42 & 228.175646256923 & 2.71363751172389 \tabularnewline
0.43 & 228.706892893225 & 2.66125832700989 \tabularnewline
0.44 & 229.226715758394 & 2.59725532879492 \tabularnewline
0.45 & 229.734224952092 & 2.53086102194930 \tabularnewline
0.46 & 230.230112122242 & 2.47189020366968 \tabularnewline
0.47 & 230.716610008428 & 2.42951926824680 \tabularnewline
0.48 & 231.197209245102 & 2.40953735922677 \tabularnewline
0.49 & 231.676204394254 & 2.41559624020176 \tabularnewline
0.5 & 232.158165807320 & 2.44675800976459 \tabularnewline
0.51 & 232.647443687673 & 2.49962053361814 \tabularnewline
0.52 & 233.147802030086 & 2.56819537061277 \tabularnewline
0.53 & 233.662252886386 & 2.64721161783237 \tabularnewline
0.54 & 234.193119432794 & 2.73222217640461 \tabularnewline
0.55 & 234.742306949579 & 2.82136517208717 \tabularnewline
0.56 & 235.311713866125 & 2.91582693862514 \tabularnewline
0.57 & 235.903680696585 & 3.01971600299421 \tabularnewline
0.58 & 236.521361072909 & 3.13894791114367 \tabularnewline
0.59 & 237.168909720344 & 3.28039257370083 \tabularnewline
0.6 & 237.851414806132 & 3.44913121115323 \tabularnewline
0.61 & 238.574548888268 & 3.647253049546 \tabularnewline
0.62 & 239.343962829564 & 3.87284000104791 \tabularnewline
0.63 & 240.164490017898 & 4.11906350817448 \tabularnewline
0.64 & 241.039257269666 & 4.37432011380838 \tabularnewline
0.65 & 241.968812577454 & 4.62364451688729 \tabularnewline
0.66 & 242.950381715638 & 4.84910191173404 \tabularnewline
0.67 & 243.977360448934 & 5.03156783420221 \tabularnewline
0.68 & 245.039139113711 & 5.15198090607784 \tabularnewline
0.69 & 246.121339313563 & 5.19371734352481 \tabularnewline
0.7 & 247.206512167298 & 5.14458679685899 \tabularnewline
0.71 & 248.275298040267 & 4.99850359635384 \tabularnewline
0.72 & 249.30797878044 & 4.75758207765539 \tabularnewline
0.73 & 250.286274287413 & 4.43288885873565 \tabularnewline
0.74 & 251.195163529877 & 4.04361323603776 \tabularnewline
0.75 & 252.024467278881 & 3.61576396020727 \tabularnewline
0.76 & 252.769933815484 & 3.1789363624679 \tabularnewline
0.77 & 253.433628438764 & 2.76300793288852 \tabularnewline
0.78 & 254.02353939053 & 2.39522218574161 \tabularnewline
0.79 & 254.55246083709 & 2.09585819686674 \tabularnewline
0.8 & 255.036369216774 & 1.87704720513547 \tabularnewline
0.81 & 255.492632242424 & 1.74040794091163 \tabularnewline
0.82 & 255.938433714949 & 1.67728340578563 \tabularnewline
0.83 & 256.389725409207 & 1.67400015414207 \tabularnewline
0.84 & 256.860829331262 & 1.71663851601454 \tabularnewline
0.85 & 257.364571928094 & 1.79506195186265 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79363&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]88.9757927201595[/C][C]2.49673748389642[/C][/ROW]
[ROW][C]0.02[/C][C]91.41797069627[/C][C]5.92298934624827[/C][/ROW]
[ROW][C]0.03[/C][C]95.5483173177283[/C][C]10.1259059215964[/C][/ROW]
[ROW][C]0.04[/C][C]101.304179189918[/C][C]14.2925553324596[/C][/ROW]
[ROW][C]0.05[/C][C]108.393155855981[/C][C]17.972691150046[/C][/ROW]
[ROW][C]0.06[/C][C]116.382065255128[/C][C]20.7037425758250[/C][/ROW]
[ROW][C]0.07[/C][C]124.756856454721[/C][C]21.9900188868078[/C][/ROW]
[ROW][C]0.08[/C][C]132.977953661243[/C][C]21.6028712295478[/C][/ROW]
[ROW][C]0.09[/C][C]140.565655912051[/C][C]19.7697303675773[/C][/ROW]
[ROW][C]0.1[/C][C]147.193959727603[/C][C]17.0855359714865[/C][/ROW]
[ROW][C]0.11[/C][C]152.745640865978[/C][C]14.2716553534005[/C][/ROW]
[ROW][C]0.12[/C][C]157.305545123216[/C][C]11.9674700702629[/C][/ROW]
[ROW][C]0.13[/C][C]161.104891663075[/C][C]10.6228572222136[/C][/ROW]
[ROW][C]0.14[/C][C]164.446284057353[/C][C]10.4367392098143[/C][/ROW]
[ROW][C]0.15[/C][C]167.634729505643[/C][C]11.3173778692767[/C][/ROW]
[ROW][C]0.16[/C][C]170.92699369755[/C][C]12.9605438942488[/C][/ROW]
[ROW][C]0.17[/C][C]174.501111154868[/C][C]14.9946334102342[/C][/ROW]
[ROW][C]0.18[/C][C]178.443277669958[/C][C]17.0520916293226[/C][/ROW]
[ROW][C]0.19[/C][C]182.748867958001[/C][C]18.8010458765650[/C][/ROW]
[ROW][C]0.2[/C][C]187.334980907655[/C][C]19.9733530496019[/C][/ROW]
[ROW][C]0.21[/C][C]192.061939822853[/C][C]20.3952590683088[/C][/ROW]
[ROW][C]0.22[/C][C]196.760349632903[/C][C]20.0086480291082[/C][/ROW]
[ROW][C]0.23[/C][C]201.259344519426[/C][C]18.8710149389668[/C][/ROW]
[ROW][C]0.24[/C][C]205.411381226551[/C][C]17.1352265255371[/C][/ROW]
[ROW][C]0.25[/C][C]209.109767230753[/C][C]15.0120568943458[/C][/ROW]
[ROW][C]0.26[/C][C]212.296904222164[/C][C]12.7284093333197[/C][/ROW]
[ROW][C]0.27[/C][C]214.963395866061[/C][C]10.4901371108196[/C][/ROW]
[ROW][C]0.28[/C][C]217.140024621035[/C][C]8.45618182015767[/C][/ROW]
[ROW][C]0.29[/C][C]218.885648672215[/C][C]6.72665084522712[/C][/ROW]
[ROW][C]0.3[/C][C]220.274163399027[/C][C]5.34543561299437[/C][/ROW]
[ROW][C]0.31[/C][C]221.383003307932[/C][C]4.31092504907786[/C][/ROW]
[ROW][C]0.32[/C][C]222.284609468143[/C][C]3.58876456286285[/C][/ROW]
[ROW][C]0.33[/C][C]223.041242975429[/C][C]3.12567812244402[/C][/ROW]
[ROW][C]0.34[/C][C]223.702754285639[/C][C]2.86026991526802[/C][/ROW]
[ROW][C]0.35[/C][C]224.306520967572[/C][C]2.73290980661351[/C][/ROW]
[ROW][C]0.36[/C][C]224.878701161640[/C][C]2.69283072478115[/C][/ROW]
[ROW][C]0.37[/C][C]225.436098916412[/C][C]2.70011690917506[/C][/ROW]
[ROW][C]0.38[/C][C]225.988171097892[/C][C]2.72583407698565[/C][/ROW]
[ROW][C]0.39[/C][C]226.538925433138[/C][C]2.74990260040265[/C][/ROW]
[ROW][C]0.4[/C][C]227.088613975350[/C][C]2.75952347952264[/C][/ROW]
[ROW][C]0.41[/C][C]227.635206055849[/C][C]2.74755076289482[/C][/ROW]
[ROW][C]0.42[/C][C]228.175646256923[/C][C]2.71363751172389[/C][/ROW]
[ROW][C]0.43[/C][C]228.706892893225[/C][C]2.66125832700989[/C][/ROW]
[ROW][C]0.44[/C][C]229.226715758394[/C][C]2.59725532879492[/C][/ROW]
[ROW][C]0.45[/C][C]229.734224952092[/C][C]2.53086102194930[/C][/ROW]
[ROW][C]0.46[/C][C]230.230112122242[/C][C]2.47189020366968[/C][/ROW]
[ROW][C]0.47[/C][C]230.716610008428[/C][C]2.42951926824680[/C][/ROW]
[ROW][C]0.48[/C][C]231.197209245102[/C][C]2.40953735922677[/C][/ROW]
[ROW][C]0.49[/C][C]231.676204394254[/C][C]2.41559624020176[/C][/ROW]
[ROW][C]0.5[/C][C]232.158165807320[/C][C]2.44675800976459[/C][/ROW]
[ROW][C]0.51[/C][C]232.647443687673[/C][C]2.49962053361814[/C][/ROW]
[ROW][C]0.52[/C][C]233.147802030086[/C][C]2.56819537061277[/C][/ROW]
[ROW][C]0.53[/C][C]233.662252886386[/C][C]2.64721161783237[/C][/ROW]
[ROW][C]0.54[/C][C]234.193119432794[/C][C]2.73222217640461[/C][/ROW]
[ROW][C]0.55[/C][C]234.742306949579[/C][C]2.82136517208717[/C][/ROW]
[ROW][C]0.56[/C][C]235.311713866125[/C][C]2.91582693862514[/C][/ROW]
[ROW][C]0.57[/C][C]235.903680696585[/C][C]3.01971600299421[/C][/ROW]
[ROW][C]0.58[/C][C]236.521361072909[/C][C]3.13894791114367[/C][/ROW]
[ROW][C]0.59[/C][C]237.168909720344[/C][C]3.28039257370083[/C][/ROW]
[ROW][C]0.6[/C][C]237.851414806132[/C][C]3.44913121115323[/C][/ROW]
[ROW][C]0.61[/C][C]238.574548888268[/C][C]3.647253049546[/C][/ROW]
[ROW][C]0.62[/C][C]239.343962829564[/C][C]3.87284000104791[/C][/ROW]
[ROW][C]0.63[/C][C]240.164490017898[/C][C]4.11906350817448[/C][/ROW]
[ROW][C]0.64[/C][C]241.039257269666[/C][C]4.37432011380838[/C][/ROW]
[ROW][C]0.65[/C][C]241.968812577454[/C][C]4.62364451688729[/C][/ROW]
[ROW][C]0.66[/C][C]242.950381715638[/C][C]4.84910191173404[/C][/ROW]
[ROW][C]0.67[/C][C]243.977360448934[/C][C]5.03156783420221[/C][/ROW]
[ROW][C]0.68[/C][C]245.039139113711[/C][C]5.15198090607784[/C][/ROW]
[ROW][C]0.69[/C][C]246.121339313563[/C][C]5.19371734352481[/C][/ROW]
[ROW][C]0.7[/C][C]247.206512167298[/C][C]5.14458679685899[/C][/ROW]
[ROW][C]0.71[/C][C]248.275298040267[/C][C]4.99850359635384[/C][/ROW]
[ROW][C]0.72[/C][C]249.30797878044[/C][C]4.75758207765539[/C][/ROW]
[ROW][C]0.73[/C][C]250.286274287413[/C][C]4.43288885873565[/C][/ROW]
[ROW][C]0.74[/C][C]251.195163529877[/C][C]4.04361323603776[/C][/ROW]
[ROW][C]0.75[/C][C]252.024467278881[/C][C]3.61576396020727[/C][/ROW]
[ROW][C]0.76[/C][C]252.769933815484[/C][C]3.1789363624679[/C][/ROW]
[ROW][C]0.77[/C][C]253.433628438764[/C][C]2.76300793288852[/C][/ROW]
[ROW][C]0.78[/C][C]254.02353939053[/C][C]2.39522218574161[/C][/ROW]
[ROW][C]0.79[/C][C]254.55246083709[/C][C]2.09585819686674[/C][/ROW]
[ROW][C]0.8[/C][C]255.036369216774[/C][C]1.87704720513547[/C][/ROW]
[ROW][C]0.81[/C][C]255.492632242424[/C][C]1.74040794091163[/C][/ROW]
[ROW][C]0.82[/C][C]255.938433714949[/C][C]1.67728340578563[/C][/ROW]
[ROW][C]0.83[/C][C]256.389725409207[/C][C]1.67400015414207[/C][/ROW]
[ROW][C]0.84[/C][C]256.860829331262[/C][C]1.71663851601454[/C][/ROW]
[ROW][C]0.85[/C][C]257.364571928094[/C][C]1.79506195186265[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79363&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79363&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
0.0188.97579272015952.49673748389642
0.0291.417970696275.92298934624827
0.0395.548317317728310.1259059215964
0.04101.30417918991814.2925553324596
0.05108.39315585598117.972691150046
0.06116.38206525512820.7037425758250
0.07124.75685645472121.9900188868078
0.08132.97795366124321.6028712295478
0.09140.56565591205119.7697303675773
0.1147.19395972760317.0855359714865
0.11152.74564086597814.2716553534005
0.12157.30554512321611.9674700702629
0.13161.10489166307510.6228572222136
0.14164.44628405735310.4367392098143
0.15167.63472950564311.3173778692767
0.16170.9269936975512.9605438942488
0.17174.50111115486814.9946334102342
0.18178.44327766995817.0520916293226
0.19182.74886795800118.8010458765650
0.2187.33498090765519.9733530496019
0.21192.06193982285320.3952590683088
0.22196.76034963290320.0086480291082
0.23201.25934451942618.8710149389668
0.24205.41138122655117.1352265255371
0.25209.10976723075315.0120568943458
0.26212.29690422216412.7284093333197
0.27214.96339586606110.4901371108196
0.28217.1400246210358.45618182015767
0.29218.8856486722156.72665084522712
0.3220.2741633990275.34543561299437
0.31221.3830033079324.31092504907786
0.32222.2846094681433.58876456286285
0.33223.0412429754293.12567812244402
0.34223.7027542856392.86026991526802
0.35224.3065209675722.73290980661351
0.36224.8787011616402.69283072478115
0.37225.4360989164122.70011690917506
0.38225.9881710978922.72583407698565
0.39226.5389254331382.74990260040265
0.4227.0886139753502.75952347952264
0.41227.6352060558492.74755076289482
0.42228.1756462569232.71363751172389
0.43228.7068928932252.66125832700989
0.44229.2267157583942.59725532879492
0.45229.7342249520922.53086102194930
0.46230.2301121222422.47189020366968
0.47230.7166100084282.42951926824680
0.48231.1972092451022.40953735922677
0.49231.6762043942542.41559624020176
0.5232.1581658073202.44675800976459
0.51232.6474436876732.49962053361814
0.52233.1478020300862.56819537061277
0.53233.6622528863862.64721161783237
0.54234.1931194327942.73222217640461
0.55234.7423069495792.82136517208717
0.56235.3117138661252.91582693862514
0.57235.9036806965853.01971600299421
0.58236.5213610729093.13894791114367
0.59237.1689097203443.28039257370083
0.6237.8514148061323.44913121115323
0.61238.5745488882683.647253049546
0.62239.3439628295643.87284000104791
0.63240.1644900178984.11906350817448
0.64241.0392572696664.37432011380838
0.65241.9688125774544.62364451688729
0.66242.9503817156384.84910191173404
0.67243.9773604489345.03156783420221
0.68245.0391391137115.15198090607784
0.69246.1213393135635.19371734352481
0.7247.2065121672985.14458679685899
0.71248.2752980402674.99850359635384
0.72249.307978780444.75758207765539
0.73250.2862742874134.43288885873565
0.74251.1951635298774.04361323603776
0.75252.0244672788813.61576396020727
0.76252.7699338154843.1789363624679
0.77253.4336284387642.76300793288852
0.78254.023539390532.39522218574161
0.79254.552460837092.09585819686674
0.8255.0363692167741.87704720513547
0.81255.4926322424241.74040794091163
0.82255.9384337149491.67728340578563
0.83256.3897254092071.67400015414207
0.84256.8608293312621.71663851601454
0.85257.3645719280941.79506195186265


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.85 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.85 ; 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')