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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, 16 Feb 2014 15:46:37 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Feb/16/t1392583608e874cg0yl94ocl2.htm/, Retrieved Wed, 15 May 2024 07:35:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233836, Retrieved Wed, 15 May 2024 07:35:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact50

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] [] [2014-02-16 20:46:37] [a17c9baa293c9bc97942594e3a0541eb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
329.6
327.2
326.3
315.4
308.6
302.6
295.6
291.5
288.1
281.1
282.4
284.9
274.2
265.7
259.7
253.7
249.5
244.6
243
239.2
235.7
231.1
226.7
221.7
219.4
214.2
211.7
207.7
204.7
201.2
199.9
197.8
195.2
194.3
192.8
188.5
183.2
181.4
180.5
180.2
179.2
177.1
174.2
172.1
171.1
169.8
169.5
165.5
167.2
167.6
171.8
175.9
180
184.9
184.6
187.6
191.5
195.5
201.6
203.5
209.1
217.1
227.6
237.2
245.6
253.2
260.5
266.1
273
280.8
284.4
288.5
284.8
288.9
299.6
307.8
311.4
322
317.8
319.1
322.3
323.1
322.8
325
323.2
318.8
328.2
329.2
326.5
330.1
323.8
321.8
319.6
315.5
310.7
306.5
295.1
288
293.9
289.3
287.4
282.6
276.9
272.7
267.9
262.8
256.6
250.7
243.2
235.1
229.6
222.9
217.6
214.1
210.8
208
202.6
199
195.5
192.1
189.4
182.4
179.2
176.5
174
171.7
169.8
168.3
166.4
165.9
166.4
170.6
177.6
183.4
191.9
201.7
210.6
221.6
232.2
240.4
248.4
258.5
265
271.7
273.9
277.8
273.4
270.9
268.3
264.7
264.1
264.5
262.2
258.6
259.4
262.7
264.9
260.5
256.4
254.7
254.8
255.3
256.8
258.7
259.8
261.7
264.7
269.1
279
283.4
285.5
288.2
292.1
295.6
302.4
308.5
314.1
319.8
329.7
339.7

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' @ jenkins.wessa.net

\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' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233836&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233836&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233836&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01166.0283605266880.508583606976825
0.02166.8059275627550.867555673133436
0.03167.7480601757161.23999247748966
0.04168.7878769750171.39953194939909
0.05169.8100425819041.48023689063344
0.06170.8157256276721.687259760203
0.07171.8844177803142.04829353821606
0.08173.0755591821342.44710738438371
0.09174.3827189492752.74871494917387
0.1175.7482436736172.89136620295427
0.11177.107487737552.91645344379117
0.12178.4277089034572.92792348847658
0.13179.7207579558463.02756809237242
0.14181.0305925441263.26699824681626
0.15182.4088237913253.63010407646071
0.16183.8914848859454.04708635114966
0.17185.4856723348014.43048458197968
0.18187.16962944874.71133683063828
0.19188.9044466013384.86697262548419
0.2190.6508485075694.9240580462739
0.21192.382935745014.93820526904358
0.22194.0935536372114.96456942357536
0.23195.7913582785575.03812891214057
0.24197.4938183433945.17012140852964
0.25199.2208450611485.3596546000827
0.26200.9912637904595.60193384012614
0.27202.8216654315285.89195505601654
0.28204.7262329538916.22408343850995
0.29206.7167335168266.58969728325507
0.3208.802628715036.9827326453486
0.31210.9913124809557.39806085966406
0.32213.2880994897657.83013057417654
0.33215.6954813304118.26736056772824
0.34218.2116185726618.69107851406711
0.35220.8286727037929.07491608506114
0.36223.5318643756669.39420755097563
0.37226.2998652126049.62599705505173
0.38229.1064937719769.75643976743923
0.39231.9230756513689.7812882248573
0.4234.7205576041469.70300212198407
0.41237.4706604684479.52464387479096
0.42240.1459262874939.24886855461448
0.43242.7191882394488.87397672818925
0.44245.1634122399158.39820766708792
0.45247.4527621890587.82814190524098
0.46249.5651247075067.17984154359123
0.47251.4854957102286.48579857410221
0.48253.2090340144855.78721324334972
0.49254.7425612218085.12916287388739
0.5256.1038432091874.55007332560352
0.51257.3188245112774.07520927509174
0.52258.4176976755793.71347179260776
0.53259.4310036880153.45890375283621
0.54260.3868297233673.29853232448622
0.55261.3097044206613.21638899636629
0.56262.2211470153273.20214381656247
0.57263.1411881712813.25543922687815
0.58264.0897786218053.37708076793831
0.59265.0870672297933.56983363757137
0.6266.1521258468213.82507945677592
0.61267.3005668947084.12534211000801
0.62268.5421277568914.44119027854746
0.63269.879248584284.74565293966633
0.64271.3069664589845.01496313101752
0.65272.8136299785635.22975641187759
0.66274.381676038235.37337682114687
0.67275.9882303971555.42984731938695
0.68277.6061278847525.38751960618535
0.69279.2063076228865.24138618476755
0.7280.762019764455.00895249026989
0.71282.2542485341284.72471722492423
0.72283.6770056538634.43867267554529
0.73285.0411501444894.2102540771353
0.74286.3758982731164.09692786004932
0.75287.7276004626724.14821647501345
0.76289.1554197722994.39211803938365
0.77290.7235664924034.8253684071134
0.78292.4902173929435.40320737231149
0.79294.4943930016946.04289987398597
0.8296.743744755836.63645050261332
0.81299.2077954960867.06827951590931
0.82301.821174198597.25294388338053
0.83304.497945088697.16411816098448
0.84307.1516422887046.84121101577635
0.85309.710814157846.35888820046633
0.86312.1226996107055.7793184680837
0.87314.347590448015.13268403316057
0.88316.3539695772474.43637217851804
0.89318.1211167804223.72661585602581
0.9319.646553165733.0566918418342
0.91320.9538220086072.48275307453851
0.92322.100924788472.06749837358932
0.93323.1828728143031.87372775084229
0.94324.3066713985421.8765547240945
0.95325.5367525006571.91077381343232
0.96326.8546018205731.81932998793824
0.97328.1597101824931.52272873506684
0.98329.5238072455351.15089000668318
0.99332.9486569743013.34282553222491

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 166.028360526688 & 0.508583606976825 \tabularnewline
0.02 & 166.805927562755 & 0.867555673133436 \tabularnewline
0.03 & 167.748060175716 & 1.23999247748966 \tabularnewline
0.04 & 168.787876975017 & 1.39953194939909 \tabularnewline
0.05 & 169.810042581904 & 1.48023689063344 \tabularnewline
0.06 & 170.815725627672 & 1.687259760203 \tabularnewline
0.07 & 171.884417780314 & 2.04829353821606 \tabularnewline
0.08 & 173.075559182134 & 2.44710738438371 \tabularnewline
0.09 & 174.382718949275 & 2.74871494917387 \tabularnewline
0.1 & 175.748243673617 & 2.89136620295427 \tabularnewline
0.11 & 177.10748773755 & 2.91645344379117 \tabularnewline
0.12 & 178.427708903457 & 2.92792348847658 \tabularnewline
0.13 & 179.720757955846 & 3.02756809237242 \tabularnewline
0.14 & 181.030592544126 & 3.26699824681626 \tabularnewline
0.15 & 182.408823791325 & 3.63010407646071 \tabularnewline
0.16 & 183.891484885945 & 4.04708635114966 \tabularnewline
0.17 & 185.485672334801 & 4.43048458197968 \tabularnewline
0.18 & 187.1696294487 & 4.71133683063828 \tabularnewline
0.19 & 188.904446601338 & 4.86697262548419 \tabularnewline
0.2 & 190.650848507569 & 4.9240580462739 \tabularnewline
0.21 & 192.38293574501 & 4.93820526904358 \tabularnewline
0.22 & 194.093553637211 & 4.96456942357536 \tabularnewline
0.23 & 195.791358278557 & 5.03812891214057 \tabularnewline
0.24 & 197.493818343394 & 5.17012140852964 \tabularnewline
0.25 & 199.220845061148 & 5.3596546000827 \tabularnewline
0.26 & 200.991263790459 & 5.60193384012614 \tabularnewline
0.27 & 202.821665431528 & 5.89195505601654 \tabularnewline
0.28 & 204.726232953891 & 6.22408343850995 \tabularnewline
0.29 & 206.716733516826 & 6.58969728325507 \tabularnewline
0.3 & 208.80262871503 & 6.9827326453486 \tabularnewline
0.31 & 210.991312480955 & 7.39806085966406 \tabularnewline
0.32 & 213.288099489765 & 7.83013057417654 \tabularnewline
0.33 & 215.695481330411 & 8.26736056772824 \tabularnewline
0.34 & 218.211618572661 & 8.69107851406711 \tabularnewline
0.35 & 220.828672703792 & 9.07491608506114 \tabularnewline
0.36 & 223.531864375666 & 9.39420755097563 \tabularnewline
0.37 & 226.299865212604 & 9.62599705505173 \tabularnewline
0.38 & 229.106493771976 & 9.75643976743923 \tabularnewline
0.39 & 231.923075651368 & 9.7812882248573 \tabularnewline
0.4 & 234.720557604146 & 9.70300212198407 \tabularnewline
0.41 & 237.470660468447 & 9.52464387479096 \tabularnewline
0.42 & 240.145926287493 & 9.24886855461448 \tabularnewline
0.43 & 242.719188239448 & 8.87397672818925 \tabularnewline
0.44 & 245.163412239915 & 8.39820766708792 \tabularnewline
0.45 & 247.452762189058 & 7.82814190524098 \tabularnewline
0.46 & 249.565124707506 & 7.17984154359123 \tabularnewline
0.47 & 251.485495710228 & 6.48579857410221 \tabularnewline
0.48 & 253.209034014485 & 5.78721324334972 \tabularnewline
0.49 & 254.742561221808 & 5.12916287388739 \tabularnewline
0.5 & 256.103843209187 & 4.55007332560352 \tabularnewline
0.51 & 257.318824511277 & 4.07520927509174 \tabularnewline
0.52 & 258.417697675579 & 3.71347179260776 \tabularnewline
0.53 & 259.431003688015 & 3.45890375283621 \tabularnewline
0.54 & 260.386829723367 & 3.29853232448622 \tabularnewline
0.55 & 261.309704420661 & 3.21638899636629 \tabularnewline
0.56 & 262.221147015327 & 3.20214381656247 \tabularnewline
0.57 & 263.141188171281 & 3.25543922687815 \tabularnewline
0.58 & 264.089778621805 & 3.37708076793831 \tabularnewline
0.59 & 265.087067229793 & 3.56983363757137 \tabularnewline
0.6 & 266.152125846821 & 3.82507945677592 \tabularnewline
0.61 & 267.300566894708 & 4.12534211000801 \tabularnewline
0.62 & 268.542127756891 & 4.44119027854746 \tabularnewline
0.63 & 269.87924858428 & 4.74565293966633 \tabularnewline
0.64 & 271.306966458984 & 5.01496313101752 \tabularnewline
0.65 & 272.813629978563 & 5.22975641187759 \tabularnewline
0.66 & 274.38167603823 & 5.37337682114687 \tabularnewline
0.67 & 275.988230397155 & 5.42984731938695 \tabularnewline
0.68 & 277.606127884752 & 5.38751960618535 \tabularnewline
0.69 & 279.206307622886 & 5.24138618476755 \tabularnewline
0.7 & 280.76201976445 & 5.00895249026989 \tabularnewline
0.71 & 282.254248534128 & 4.72471722492423 \tabularnewline
0.72 & 283.677005653863 & 4.43867267554529 \tabularnewline
0.73 & 285.041150144489 & 4.2102540771353 \tabularnewline
0.74 & 286.375898273116 & 4.09692786004932 \tabularnewline
0.75 & 287.727600462672 & 4.14821647501345 \tabularnewline
0.76 & 289.155419772299 & 4.39211803938365 \tabularnewline
0.77 & 290.723566492403 & 4.8253684071134 \tabularnewline
0.78 & 292.490217392943 & 5.40320737231149 \tabularnewline
0.79 & 294.494393001694 & 6.04289987398597 \tabularnewline
0.8 & 296.74374475583 & 6.63645050261332 \tabularnewline
0.81 & 299.207795496086 & 7.06827951590931 \tabularnewline
0.82 & 301.82117419859 & 7.25294388338053 \tabularnewline
0.83 & 304.49794508869 & 7.16411816098448 \tabularnewline
0.84 & 307.151642288704 & 6.84121101577635 \tabularnewline
0.85 & 309.71081415784 & 6.35888820046633 \tabularnewline
0.86 & 312.122699610705 & 5.7793184680837 \tabularnewline
0.87 & 314.34759044801 & 5.13268403316057 \tabularnewline
0.88 & 316.353969577247 & 4.43637217851804 \tabularnewline
0.89 & 318.121116780422 & 3.72661585602581 \tabularnewline
0.9 & 319.64655316573 & 3.0566918418342 \tabularnewline
0.91 & 320.953822008607 & 2.48275307453851 \tabularnewline
0.92 & 322.10092478847 & 2.06749837358932 \tabularnewline
0.93 & 323.182872814303 & 1.87372775084229 \tabularnewline
0.94 & 324.306671398542 & 1.8765547240945 \tabularnewline
0.95 & 325.536752500657 & 1.91077381343232 \tabularnewline
0.96 & 326.854601820573 & 1.81932998793824 \tabularnewline
0.97 & 328.159710182493 & 1.52272873506684 \tabularnewline
0.98 & 329.523807245535 & 1.15089000668318 \tabularnewline
0.99 & 332.948656974301 & 3.34282553222491 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233836&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]166.028360526688[/C][C]0.508583606976825[/C][/ROW]
[ROW][C]0.02[/C][C]166.805927562755[/C][C]0.867555673133436[/C][/ROW]
[ROW][C]0.03[/C][C]167.748060175716[/C][C]1.23999247748966[/C][/ROW]
[ROW][C]0.04[/C][C]168.787876975017[/C][C]1.39953194939909[/C][/ROW]
[ROW][C]0.05[/C][C]169.810042581904[/C][C]1.48023689063344[/C][/ROW]
[ROW][C]0.06[/C][C]170.815725627672[/C][C]1.687259760203[/C][/ROW]
[ROW][C]0.07[/C][C]171.884417780314[/C][C]2.04829353821606[/C][/ROW]
[ROW][C]0.08[/C][C]173.075559182134[/C][C]2.44710738438371[/C][/ROW]
[ROW][C]0.09[/C][C]174.382718949275[/C][C]2.74871494917387[/C][/ROW]
[ROW][C]0.1[/C][C]175.748243673617[/C][C]2.89136620295427[/C][/ROW]
[ROW][C]0.11[/C][C]177.10748773755[/C][C]2.91645344379117[/C][/ROW]
[ROW][C]0.12[/C][C]178.427708903457[/C][C]2.92792348847658[/C][/ROW]
[ROW][C]0.13[/C][C]179.720757955846[/C][C]3.02756809237242[/C][/ROW]
[ROW][C]0.14[/C][C]181.030592544126[/C][C]3.26699824681626[/C][/ROW]
[ROW][C]0.15[/C][C]182.408823791325[/C][C]3.63010407646071[/C][/ROW]
[ROW][C]0.16[/C][C]183.891484885945[/C][C]4.04708635114966[/C][/ROW]
[ROW][C]0.17[/C][C]185.485672334801[/C][C]4.43048458197968[/C][/ROW]
[ROW][C]0.18[/C][C]187.1696294487[/C][C]4.71133683063828[/C][/ROW]
[ROW][C]0.19[/C][C]188.904446601338[/C][C]4.86697262548419[/C][/ROW]
[ROW][C]0.2[/C][C]190.650848507569[/C][C]4.9240580462739[/C][/ROW]
[ROW][C]0.21[/C][C]192.38293574501[/C][C]4.93820526904358[/C][/ROW]
[ROW][C]0.22[/C][C]194.093553637211[/C][C]4.96456942357536[/C][/ROW]
[ROW][C]0.23[/C][C]195.791358278557[/C][C]5.03812891214057[/C][/ROW]
[ROW][C]0.24[/C][C]197.493818343394[/C][C]5.17012140852964[/C][/ROW]
[ROW][C]0.25[/C][C]199.220845061148[/C][C]5.3596546000827[/C][/ROW]
[ROW][C]0.26[/C][C]200.991263790459[/C][C]5.60193384012614[/C][/ROW]
[ROW][C]0.27[/C][C]202.821665431528[/C][C]5.89195505601654[/C][/ROW]
[ROW][C]0.28[/C][C]204.726232953891[/C][C]6.22408343850995[/C][/ROW]
[ROW][C]0.29[/C][C]206.716733516826[/C][C]6.58969728325507[/C][/ROW]
[ROW][C]0.3[/C][C]208.80262871503[/C][C]6.9827326453486[/C][/ROW]
[ROW][C]0.31[/C][C]210.991312480955[/C][C]7.39806085966406[/C][/ROW]
[ROW][C]0.32[/C][C]213.288099489765[/C][C]7.83013057417654[/C][/ROW]
[ROW][C]0.33[/C][C]215.695481330411[/C][C]8.26736056772824[/C][/ROW]
[ROW][C]0.34[/C][C]218.211618572661[/C][C]8.69107851406711[/C][/ROW]
[ROW][C]0.35[/C][C]220.828672703792[/C][C]9.07491608506114[/C][/ROW]
[ROW][C]0.36[/C][C]223.531864375666[/C][C]9.39420755097563[/C][/ROW]
[ROW][C]0.37[/C][C]226.299865212604[/C][C]9.62599705505173[/C][/ROW]
[ROW][C]0.38[/C][C]229.106493771976[/C][C]9.75643976743923[/C][/ROW]
[ROW][C]0.39[/C][C]231.923075651368[/C][C]9.7812882248573[/C][/ROW]
[ROW][C]0.4[/C][C]234.720557604146[/C][C]9.70300212198407[/C][/ROW]
[ROW][C]0.41[/C][C]237.470660468447[/C][C]9.52464387479096[/C][/ROW]
[ROW][C]0.42[/C][C]240.145926287493[/C][C]9.24886855461448[/C][/ROW]
[ROW][C]0.43[/C][C]242.719188239448[/C][C]8.87397672818925[/C][/ROW]
[ROW][C]0.44[/C][C]245.163412239915[/C][C]8.39820766708792[/C][/ROW]
[ROW][C]0.45[/C][C]247.452762189058[/C][C]7.82814190524098[/C][/ROW]
[ROW][C]0.46[/C][C]249.565124707506[/C][C]7.17984154359123[/C][/ROW]
[ROW][C]0.47[/C][C]251.485495710228[/C][C]6.48579857410221[/C][/ROW]
[ROW][C]0.48[/C][C]253.209034014485[/C][C]5.78721324334972[/C][/ROW]
[ROW][C]0.49[/C][C]254.742561221808[/C][C]5.12916287388739[/C][/ROW]
[ROW][C]0.5[/C][C]256.103843209187[/C][C]4.55007332560352[/C][/ROW]
[ROW][C]0.51[/C][C]257.318824511277[/C][C]4.07520927509174[/C][/ROW]
[ROW][C]0.52[/C][C]258.417697675579[/C][C]3.71347179260776[/C][/ROW]
[ROW][C]0.53[/C][C]259.431003688015[/C][C]3.45890375283621[/C][/ROW]
[ROW][C]0.54[/C][C]260.386829723367[/C][C]3.29853232448622[/C][/ROW]
[ROW][C]0.55[/C][C]261.309704420661[/C][C]3.21638899636629[/C][/ROW]
[ROW][C]0.56[/C][C]262.221147015327[/C][C]3.20214381656247[/C][/ROW]
[ROW][C]0.57[/C][C]263.141188171281[/C][C]3.25543922687815[/C][/ROW]
[ROW][C]0.58[/C][C]264.089778621805[/C][C]3.37708076793831[/C][/ROW]
[ROW][C]0.59[/C][C]265.087067229793[/C][C]3.56983363757137[/C][/ROW]
[ROW][C]0.6[/C][C]266.152125846821[/C][C]3.82507945677592[/C][/ROW]
[ROW][C]0.61[/C][C]267.300566894708[/C][C]4.12534211000801[/C][/ROW]
[ROW][C]0.62[/C][C]268.542127756891[/C][C]4.44119027854746[/C][/ROW]
[ROW][C]0.63[/C][C]269.87924858428[/C][C]4.74565293966633[/C][/ROW]
[ROW][C]0.64[/C][C]271.306966458984[/C][C]5.01496313101752[/C][/ROW]
[ROW][C]0.65[/C][C]272.813629978563[/C][C]5.22975641187759[/C][/ROW]
[ROW][C]0.66[/C][C]274.38167603823[/C][C]5.37337682114687[/C][/ROW]
[ROW][C]0.67[/C][C]275.988230397155[/C][C]5.42984731938695[/C][/ROW]
[ROW][C]0.68[/C][C]277.606127884752[/C][C]5.38751960618535[/C][/ROW]
[ROW][C]0.69[/C][C]279.206307622886[/C][C]5.24138618476755[/C][/ROW]
[ROW][C]0.7[/C][C]280.76201976445[/C][C]5.00895249026989[/C][/ROW]
[ROW][C]0.71[/C][C]282.254248534128[/C][C]4.72471722492423[/C][/ROW]
[ROW][C]0.72[/C][C]283.677005653863[/C][C]4.43867267554529[/C][/ROW]
[ROW][C]0.73[/C][C]285.041150144489[/C][C]4.2102540771353[/C][/ROW]
[ROW][C]0.74[/C][C]286.375898273116[/C][C]4.09692786004932[/C][/ROW]
[ROW][C]0.75[/C][C]287.727600462672[/C][C]4.14821647501345[/C][/ROW]
[ROW][C]0.76[/C][C]289.155419772299[/C][C]4.39211803938365[/C][/ROW]
[ROW][C]0.77[/C][C]290.723566492403[/C][C]4.8253684071134[/C][/ROW]
[ROW][C]0.78[/C][C]292.490217392943[/C][C]5.40320737231149[/C][/ROW]
[ROW][C]0.79[/C][C]294.494393001694[/C][C]6.04289987398597[/C][/ROW]
[ROW][C]0.8[/C][C]296.74374475583[/C][C]6.63645050261332[/C][/ROW]
[ROW][C]0.81[/C][C]299.207795496086[/C][C]7.06827951590931[/C][/ROW]
[ROW][C]0.82[/C][C]301.82117419859[/C][C]7.25294388338053[/C][/ROW]
[ROW][C]0.83[/C][C]304.49794508869[/C][C]7.16411816098448[/C][/ROW]
[ROW][C]0.84[/C][C]307.151642288704[/C][C]6.84121101577635[/C][/ROW]
[ROW][C]0.85[/C][C]309.71081415784[/C][C]6.35888820046633[/C][/ROW]
[ROW][C]0.86[/C][C]312.122699610705[/C][C]5.7793184680837[/C][/ROW]
[ROW][C]0.87[/C][C]314.34759044801[/C][C]5.13268403316057[/C][/ROW]
[ROW][C]0.88[/C][C]316.353969577247[/C][C]4.43637217851804[/C][/ROW]
[ROW][C]0.89[/C][C]318.121116780422[/C][C]3.72661585602581[/C][/ROW]
[ROW][C]0.9[/C][C]319.64655316573[/C][C]3.0566918418342[/C][/ROW]
[ROW][C]0.91[/C][C]320.953822008607[/C][C]2.48275307453851[/C][/ROW]
[ROW][C]0.92[/C][C]322.10092478847[/C][C]2.06749837358932[/C][/ROW]
[ROW][C]0.93[/C][C]323.182872814303[/C][C]1.87372775084229[/C][/ROW]
[ROW][C]0.94[/C][C]324.306671398542[/C][C]1.8765547240945[/C][/ROW]
[ROW][C]0.95[/C][C]325.536752500657[/C][C]1.91077381343232[/C][/ROW]
[ROW][C]0.96[/C][C]326.854601820573[/C][C]1.81932998793824[/C][/ROW]
[ROW][C]0.97[/C][C]328.159710182493[/C][C]1.52272873506684[/C][/ROW]
[ROW][C]0.98[/C][C]329.523807245535[/C][C]1.15089000668318[/C][/ROW]
[ROW][C]0.99[/C][C]332.948656974301[/C][C]3.34282553222491[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233836&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233836&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
0.01166.0283605266880.508583606976825
0.02166.8059275627550.867555673133436
0.03167.7480601757161.23999247748966
0.04168.7878769750171.39953194939909
0.05169.8100425819041.48023689063344
0.06170.8157256276721.687259760203
0.07171.8844177803142.04829353821606
0.08173.0755591821342.44710738438371
0.09174.3827189492752.74871494917387
0.1175.7482436736172.89136620295427
0.11177.107487737552.91645344379117
0.12178.4277089034572.92792348847658
0.13179.7207579558463.02756809237242
0.14181.0305925441263.26699824681626
0.15182.4088237913253.63010407646071
0.16183.8914848859454.04708635114966
0.17185.4856723348014.43048458197968
0.18187.16962944874.71133683063828
0.19188.9044466013384.86697262548419
0.2190.6508485075694.9240580462739
0.21192.382935745014.93820526904358
0.22194.0935536372114.96456942357536
0.23195.7913582785575.03812891214057
0.24197.4938183433945.17012140852964
0.25199.2208450611485.3596546000827
0.26200.9912637904595.60193384012614
0.27202.8216654315285.89195505601654
0.28204.7262329538916.22408343850995
0.29206.7167335168266.58969728325507
0.3208.802628715036.9827326453486
0.31210.9913124809557.39806085966406
0.32213.2880994897657.83013057417654
0.33215.6954813304118.26736056772824
0.34218.2116185726618.69107851406711
0.35220.8286727037929.07491608506114
0.36223.5318643756669.39420755097563
0.37226.2998652126049.62599705505173
0.38229.1064937719769.75643976743923
0.39231.9230756513689.7812882248573
0.4234.7205576041469.70300212198407
0.41237.4706604684479.52464387479096
0.42240.1459262874939.24886855461448
0.43242.7191882394488.87397672818925
0.44245.1634122399158.39820766708792
0.45247.4527621890587.82814190524098
0.46249.5651247075067.17984154359123
0.47251.4854957102286.48579857410221
0.48253.2090340144855.78721324334972
0.49254.7425612218085.12916287388739
0.5256.1038432091874.55007332560352
0.51257.3188245112774.07520927509174
0.52258.4176976755793.71347179260776
0.53259.4310036880153.45890375283621
0.54260.3868297233673.29853232448622
0.55261.3097044206613.21638899636629
0.56262.2211470153273.20214381656247
0.57263.1411881712813.25543922687815
0.58264.0897786218053.37708076793831
0.59265.0870672297933.56983363757137
0.6266.1521258468213.82507945677592
0.61267.3005668947084.12534211000801
0.62268.5421277568914.44119027854746
0.63269.879248584284.74565293966633
0.64271.3069664589845.01496313101752
0.65272.8136299785635.22975641187759
0.66274.381676038235.37337682114687
0.67275.9882303971555.42984731938695
0.68277.6061278847525.38751960618535
0.69279.2063076228865.24138618476755
0.7280.762019764455.00895249026989
0.71282.2542485341284.72471722492423
0.72283.6770056538634.43867267554529
0.73285.0411501444894.2102540771353
0.74286.3758982731164.09692786004932
0.75287.7276004626724.14821647501345
0.76289.1554197722994.39211803938365
0.77290.7235664924034.8253684071134
0.78292.4902173929435.40320737231149
0.79294.4943930016946.04289987398597
0.8296.743744755836.63645050261332
0.81299.2077954960867.06827951590931
0.82301.821174198597.25294388338053
0.83304.497945088697.16411816098448
0.84307.1516422887046.84121101577635
0.85309.710814157846.35888820046633
0.86312.1226996107055.7793184680837
0.87314.347590448015.13268403316057
0.88316.3539695772474.43637217851804
0.89318.1211167804223.72661585602581
0.9319.646553165733.0566918418342
0.91320.9538220086072.48275307453851
0.92322.100924788472.06749837358932
0.93323.1828728143031.87372775084229
0.94324.3066713985421.8765547240945
0.95325.5367525006571.91077381343232
0.96326.8546018205731.81932998793824
0.97328.1597101824931.52272873506684
0.98329.5238072455351.15089000668318
0.99332.9486569743013.34282553222491


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')