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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 20:04:46 +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/t1282248267euelk1i4n7u39gl.htm/, Retrieved Fri, 03 May 2024 15:00:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79366, Retrieved Fri, 03 May 2024 15:00:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsGregory Goris
Estimated Impact111

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 20:04:46] [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 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=79366&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=79366&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79366&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
0.0188.97579272015952.49673748389642
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
0.86257.9126649320011.90270243862624
0.87258.5161088930392.03400513016760
0.88259.1857731137592.18143068704019
0.89259.9339074811622.33857411522243
0.9260.7777919707572.50680368488501
0.91261.7463010572392.70855746624114
0.92262.88782677292.99421696905941
0.93264.2730490116113.42849765941864
0.94265.9801545578794.02769425618679
0.95268.0509275461974.65683703207105
0.96270.4264999846964.97545327561799
0.97272.9102489295604.58332486333697
0.98275.2102846524663.44058042242626
0.99277.0147990909182.28340969453031

\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
0.86 & 257.912664932001 & 1.90270243862624 \tabularnewline
0.87 & 258.516108893039 & 2.03400513016760 \tabularnewline
0.88 & 259.185773113759 & 2.18143068704019 \tabularnewline
0.89 & 259.933907481162 & 2.33857411522243 \tabularnewline
0.9 & 260.777791970757 & 2.50680368488501 \tabularnewline
0.91 & 261.746301057239 & 2.70855746624114 \tabularnewline
0.92 & 262.8878267729 & 2.99421696905941 \tabularnewline
0.93 & 264.273049011611 & 3.42849765941864 \tabularnewline
0.94 & 265.980154557879 & 4.02769425618679 \tabularnewline
0.95 & 268.050927546197 & 4.65683703207105 \tabularnewline
0.96 & 270.426499984696 & 4.97545327561799 \tabularnewline
0.97 & 272.910248929560 & 4.58332486333697 \tabularnewline
0.98 & 275.210284652466 & 3.44058042242626 \tabularnewline
0.99 & 277.014799090918 & 2.28340969453031 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79366&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]
[ROW][C]0.86[/C][C]257.912664932001[/C][C]1.90270243862624[/C][/ROW]
[ROW][C]0.87[/C][C]258.516108893039[/C][C]2.03400513016760[/C][/ROW]
[ROW][C]0.88[/C][C]259.185773113759[/C][C]2.18143068704019[/C][/ROW]
[ROW][C]0.89[/C][C]259.933907481162[/C][C]2.33857411522243[/C][/ROW]
[ROW][C]0.9[/C][C]260.777791970757[/C][C]2.50680368488501[/C][/ROW]
[ROW][C]0.91[/C][C]261.746301057239[/C][C]2.70855746624114[/C][/ROW]
[ROW][C]0.92[/C][C]262.8878267729[/C][C]2.99421696905941[/C][/ROW]
[ROW][C]0.93[/C][C]264.273049011611[/C][C]3.42849765941864[/C][/ROW]
[ROW][C]0.94[/C][C]265.980154557879[/C][C]4.02769425618679[/C][/ROW]
[ROW][C]0.95[/C][C]268.050927546197[/C][C]4.65683703207105[/C][/ROW]
[ROW][C]0.96[/C][C]270.426499984696[/C][C]4.97545327561799[/C][/ROW]
[ROW][C]0.97[/C][C]272.910248929560[/C][C]4.58332486333697[/C][/ROW]
[ROW][C]0.98[/C][C]275.210284652466[/C][C]3.44058042242626[/C][/ROW]
[ROW][C]0.99[/C][C]277.014799090918[/C][C]2.28340969453031[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79366&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79366&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
0.86257.9126649320011.90270243862624
0.87258.5161088930392.03400513016760
0.88259.1857731137592.18143068704019
0.89259.9339074811622.33857411522243
0.9260.7777919707572.50680368488501
0.91261.7463010572392.70855746624114
0.92262.88782677292.99421696905941
0.93264.2730490116113.42849765941864
0.94265.9801545578794.02769425618679
0.95268.0509275461974.65683703207105
0.96270.4264999846964.97545327561799
0.97272.9102489295604.58332486333697
0.98275.2102846524663.44058042242626
0.99277.0147990909182.28340969453031


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')