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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 15 Aug 2010 15:43:57 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Aug/15/t12818871081krqtcuxdndlkge.htm/, Retrieved Sun, 28 Apr 2024 06:16:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78892, Retrieved Sun, 28 Apr 2024 06:16:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsTrouillard Olivier
Estimated Impact108

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] [aantal verkochte ...] [2010-08-15 15:43:57] [b58dfa1c2951471c561e0016df4afa08] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
268
267
266
264
284
283
268
258
259
259
260
262
255
259
258
258
288
289
271
268
274
284
284
279
273
280
276
271
298
297
278
270
280
289
288
293
285
283
275
268
295
290
267
252
268
278
280
278
261
263
259
265
294
285
255
231
246
258
265
260
238
241
239
233
265
255
224
194
210
222
230
225
206
204
207
195
230
221
195
162
182
203
211
206
187
181
189
174
213
201
177
140
165
192
197
196
176
164
177
165
208
195
164
123
147
173
176
170
157
145
148
135
175
168
140
109
129
150
150
152

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=78892&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=78892&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78892&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
0.01117.04850687950210.4557712913150
0.02126.4251575932348.12342198396862
0.03133.2410381954657.03910472719975
0.04138.1225878636726.17408592825331
0.05141.8682231828615.58934442138619
0.06144.9479796610125.354450472974
0.07147.6790784287065.4765374543481
0.08150.2823890567135.9052781232144
0.09152.8864629036236.43621709108622
0.1155.5227639153066.81203342347809
0.11158.1445703727756.8900397508017
0.12160.6742732326116.7013050051257
0.13163.0521486653296.39068739512457
0.14165.2598700533746.102835293473
0.15167.3152350523715.90852264701575
0.16169.2535683619805.81015287555189
0.17171.1127813723835.79268722952205
0.18172.9286151521915.86404217609848
0.19174.7361642803696.05099734958
0.2176.5704908003316.36794347302438
0.21178.4624378264126.78710384182883
0.22180.4310258845757.23935316290888
0.23182.4769445585067.63576061868179
0.24184.5812536758287.90062162591916
0.25186.710562187897.99577350666593
0.26188.8267507739107.93140264610234
0.27190.8974658508827.75683679706392
0.28192.9037689202627.54316370041215
0.29194.8430158792957.36029653224677
0.3196.7271929177757.25923581885785
0.31198.5784934720227.26648572711233
0.32200.4243306961797.38823621382393
0.33202.2933454511877.6209129098109
0.34204.2128672312617.95754320448218
0.35206.2073857315248.38820466629152
0.36208.2973041764978.89601690248111
0.37210.4975625197379.45421160523314
0.38212.81629509102110.0283582027770
0.39215.25409017688110.5803677429716
0.4217.80437935644511.0802018483735
0.41220.45502531129711.5083920616615
0.42223.19056976243111.8597463568966
0.43225.99419954251712.1373776839059
0.44228.84852863802412.3442099910169
0.45231.73478905451312.4740829018618
0.46234.63076104638812.5050710528827
0.47237.50842580963512.4035510972359
0.48240.33260099717512.1311138681455
0.49243.06159403250811.6572765047456
0.5245.65026235084610.9720281174073
0.51248.05505103808610.0921563210586
0.52250.2398912691149.06320351108558
0.53252.1815254540317.95190954346508
0.54253.8729630029396.83678247626401
0.55255.3242817108365.79467732937821
0.56256.5606754912794.88947736395811
0.57257.6182849493294.16386413599307
0.58258.5387659915803.63539021609593
0.59259.3636870614803.29498132199489
0.6260.1297263858663.11005010806249
0.61260.8653519855503.03354441350843
0.62261.5893069822713.01523602975600
0.63262.3108730681443.01295898462664
0.64263.0316031782052.99668590643586
0.65263.7480336196752.95169190127124
0.66264.4548156734672.87706055029005
0.67265.1477316284112.78418602877313
0.68265.8261447738412.69145766987673
0.69266.4945379120712.62451272121826
0.7267.1629007696582.60640659491508
0.71267.8458459405222.65547700911486
0.72268.5604987338782.77714803506086
0.73269.3234377835872.96134633229115
0.74270.1472321057243.18292567006103
0.75271.0373438319873.40658820652427
0.76271.9902370677723.59379967460929
0.77272.9933699837563.7113748598134
0.78274.0273320887503.73893258975838
0.79275.0697858682423.67421335810330
0.8276.1002276379873.53321144956416
0.81277.1041186219383.34738203235143
0.82278.0749232736403.15153723040759
0.83279.0132465899092.97283596416342
0.84279.9235604489012.82053517458106
0.85280.8104670068672.68481117320472
0.86281.6771093202712.55122758379163
0.87282.5272416279842.41681493635997
0.88283.3696069779552.30247690991562
0.89284.2204573569962.23967271082055
0.9285.1004771220122.23855032565634
0.91286.0278119074692.26812582837097
0.92287.0157301018082.28530211584267
0.93288.0820799481992.29529199187427
0.94289.2619207204182.36177361471573
0.95290.5987389800612.49732454135511
0.96292.1074274665722.55841319638840
0.97293.751506677612.39455644870285
0.98295.4587565020442.04841496390696
0.99297.0501152427141.50255390444485

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 117.048506879502 & 10.4557712913150 \tabularnewline
0.02 & 126.425157593234 & 8.12342198396862 \tabularnewline
0.03 & 133.241038195465 & 7.03910472719975 \tabularnewline
0.04 & 138.122587863672 & 6.17408592825331 \tabularnewline
0.05 & 141.868223182861 & 5.58934442138619 \tabularnewline
0.06 & 144.947979661012 & 5.354450472974 \tabularnewline
0.07 & 147.679078428706 & 5.4765374543481 \tabularnewline
0.08 & 150.282389056713 & 5.9052781232144 \tabularnewline
0.09 & 152.886462903623 & 6.43621709108622 \tabularnewline
0.1 & 155.522763915306 & 6.81203342347809 \tabularnewline
0.11 & 158.144570372775 & 6.8900397508017 \tabularnewline
0.12 & 160.674273232611 & 6.7013050051257 \tabularnewline
0.13 & 163.052148665329 & 6.39068739512457 \tabularnewline
0.14 & 165.259870053374 & 6.102835293473 \tabularnewline
0.15 & 167.315235052371 & 5.90852264701575 \tabularnewline
0.16 & 169.253568361980 & 5.81015287555189 \tabularnewline
0.17 & 171.112781372383 & 5.79268722952205 \tabularnewline
0.18 & 172.928615152191 & 5.86404217609848 \tabularnewline
0.19 & 174.736164280369 & 6.05099734958 \tabularnewline
0.2 & 176.570490800331 & 6.36794347302438 \tabularnewline
0.21 & 178.462437826412 & 6.78710384182883 \tabularnewline
0.22 & 180.431025884575 & 7.23935316290888 \tabularnewline
0.23 & 182.476944558506 & 7.63576061868179 \tabularnewline
0.24 & 184.581253675828 & 7.90062162591916 \tabularnewline
0.25 & 186.71056218789 & 7.99577350666593 \tabularnewline
0.26 & 188.826750773910 & 7.93140264610234 \tabularnewline
0.27 & 190.897465850882 & 7.75683679706392 \tabularnewline
0.28 & 192.903768920262 & 7.54316370041215 \tabularnewline
0.29 & 194.843015879295 & 7.36029653224677 \tabularnewline
0.3 & 196.727192917775 & 7.25923581885785 \tabularnewline
0.31 & 198.578493472022 & 7.26648572711233 \tabularnewline
0.32 & 200.424330696179 & 7.38823621382393 \tabularnewline
0.33 & 202.293345451187 & 7.6209129098109 \tabularnewline
0.34 & 204.212867231261 & 7.95754320448218 \tabularnewline
0.35 & 206.207385731524 & 8.38820466629152 \tabularnewline
0.36 & 208.297304176497 & 8.89601690248111 \tabularnewline
0.37 & 210.497562519737 & 9.45421160523314 \tabularnewline
0.38 & 212.816295091021 & 10.0283582027770 \tabularnewline
0.39 & 215.254090176881 & 10.5803677429716 \tabularnewline
0.4 & 217.804379356445 & 11.0802018483735 \tabularnewline
0.41 & 220.455025311297 & 11.5083920616615 \tabularnewline
0.42 & 223.190569762431 & 11.8597463568966 \tabularnewline
0.43 & 225.994199542517 & 12.1373776839059 \tabularnewline
0.44 & 228.848528638024 & 12.3442099910169 \tabularnewline
0.45 & 231.734789054513 & 12.4740829018618 \tabularnewline
0.46 & 234.630761046388 & 12.5050710528827 \tabularnewline
0.47 & 237.508425809635 & 12.4035510972359 \tabularnewline
0.48 & 240.332600997175 & 12.1311138681455 \tabularnewline
0.49 & 243.061594032508 & 11.6572765047456 \tabularnewline
0.5 & 245.650262350846 & 10.9720281174073 \tabularnewline
0.51 & 248.055051038086 & 10.0921563210586 \tabularnewline
0.52 & 250.239891269114 & 9.06320351108558 \tabularnewline
0.53 & 252.181525454031 & 7.95190954346508 \tabularnewline
0.54 & 253.872963002939 & 6.83678247626401 \tabularnewline
0.55 & 255.324281710836 & 5.79467732937821 \tabularnewline
0.56 & 256.560675491279 & 4.88947736395811 \tabularnewline
0.57 & 257.618284949329 & 4.16386413599307 \tabularnewline
0.58 & 258.538765991580 & 3.63539021609593 \tabularnewline
0.59 & 259.363687061480 & 3.29498132199489 \tabularnewline
0.6 & 260.129726385866 & 3.11005010806249 \tabularnewline
0.61 & 260.865351985550 & 3.03354441350843 \tabularnewline
0.62 & 261.589306982271 & 3.01523602975600 \tabularnewline
0.63 & 262.310873068144 & 3.01295898462664 \tabularnewline
0.64 & 263.031603178205 & 2.99668590643586 \tabularnewline
0.65 & 263.748033619675 & 2.95169190127124 \tabularnewline
0.66 & 264.454815673467 & 2.87706055029005 \tabularnewline
0.67 & 265.147731628411 & 2.78418602877313 \tabularnewline
0.68 & 265.826144773841 & 2.69145766987673 \tabularnewline
0.69 & 266.494537912071 & 2.62451272121826 \tabularnewline
0.7 & 267.162900769658 & 2.60640659491508 \tabularnewline
0.71 & 267.845845940522 & 2.65547700911486 \tabularnewline
0.72 & 268.560498733878 & 2.77714803506086 \tabularnewline
0.73 & 269.323437783587 & 2.96134633229115 \tabularnewline
0.74 & 270.147232105724 & 3.18292567006103 \tabularnewline
0.75 & 271.037343831987 & 3.40658820652427 \tabularnewline
0.76 & 271.990237067772 & 3.59379967460929 \tabularnewline
0.77 & 272.993369983756 & 3.7113748598134 \tabularnewline
0.78 & 274.027332088750 & 3.73893258975838 \tabularnewline
0.79 & 275.069785868242 & 3.67421335810330 \tabularnewline
0.8 & 276.100227637987 & 3.53321144956416 \tabularnewline
0.81 & 277.104118621938 & 3.34738203235143 \tabularnewline
0.82 & 278.074923273640 & 3.15153723040759 \tabularnewline
0.83 & 279.013246589909 & 2.97283596416342 \tabularnewline
0.84 & 279.923560448901 & 2.82053517458106 \tabularnewline
0.85 & 280.810467006867 & 2.68481117320472 \tabularnewline
0.86 & 281.677109320271 & 2.55122758379163 \tabularnewline
0.87 & 282.527241627984 & 2.41681493635997 \tabularnewline
0.88 & 283.369606977955 & 2.30247690991562 \tabularnewline
0.89 & 284.220457356996 & 2.23967271082055 \tabularnewline
0.9 & 285.100477122012 & 2.23855032565634 \tabularnewline
0.91 & 286.027811907469 & 2.26812582837097 \tabularnewline
0.92 & 287.015730101808 & 2.28530211584267 \tabularnewline
0.93 & 288.082079948199 & 2.29529199187427 \tabularnewline
0.94 & 289.261920720418 & 2.36177361471573 \tabularnewline
0.95 & 290.598738980061 & 2.49732454135511 \tabularnewline
0.96 & 292.107427466572 & 2.55841319638840 \tabularnewline
0.97 & 293.75150667761 & 2.39455644870285 \tabularnewline
0.98 & 295.458756502044 & 2.04841496390696 \tabularnewline
0.99 & 297.050115242714 & 1.50255390444485 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78892&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]117.048506879502[/C][C]10.4557712913150[/C][/ROW]
[ROW][C]0.02[/C][C]126.425157593234[/C][C]8.12342198396862[/C][/ROW]
[ROW][C]0.03[/C][C]133.241038195465[/C][C]7.03910472719975[/C][/ROW]
[ROW][C]0.04[/C][C]138.122587863672[/C][C]6.17408592825331[/C][/ROW]
[ROW][C]0.05[/C][C]141.868223182861[/C][C]5.58934442138619[/C][/ROW]
[ROW][C]0.06[/C][C]144.947979661012[/C][C]5.354450472974[/C][/ROW]
[ROW][C]0.07[/C][C]147.679078428706[/C][C]5.4765374543481[/C][/ROW]
[ROW][C]0.08[/C][C]150.282389056713[/C][C]5.9052781232144[/C][/ROW]
[ROW][C]0.09[/C][C]152.886462903623[/C][C]6.43621709108622[/C][/ROW]
[ROW][C]0.1[/C][C]155.522763915306[/C][C]6.81203342347809[/C][/ROW]
[ROW][C]0.11[/C][C]158.144570372775[/C][C]6.8900397508017[/C][/ROW]
[ROW][C]0.12[/C][C]160.674273232611[/C][C]6.7013050051257[/C][/ROW]
[ROW][C]0.13[/C][C]163.052148665329[/C][C]6.39068739512457[/C][/ROW]
[ROW][C]0.14[/C][C]165.259870053374[/C][C]6.102835293473[/C][/ROW]
[ROW][C]0.15[/C][C]167.315235052371[/C][C]5.90852264701575[/C][/ROW]
[ROW][C]0.16[/C][C]169.253568361980[/C][C]5.81015287555189[/C][/ROW]
[ROW][C]0.17[/C][C]171.112781372383[/C][C]5.79268722952205[/C][/ROW]
[ROW][C]0.18[/C][C]172.928615152191[/C][C]5.86404217609848[/C][/ROW]
[ROW][C]0.19[/C][C]174.736164280369[/C][C]6.05099734958[/C][/ROW]
[ROW][C]0.2[/C][C]176.570490800331[/C][C]6.36794347302438[/C][/ROW]
[ROW][C]0.21[/C][C]178.462437826412[/C][C]6.78710384182883[/C][/ROW]
[ROW][C]0.22[/C][C]180.431025884575[/C][C]7.23935316290888[/C][/ROW]
[ROW][C]0.23[/C][C]182.476944558506[/C][C]7.63576061868179[/C][/ROW]
[ROW][C]0.24[/C][C]184.581253675828[/C][C]7.90062162591916[/C][/ROW]
[ROW][C]0.25[/C][C]186.71056218789[/C][C]7.99577350666593[/C][/ROW]
[ROW][C]0.26[/C][C]188.826750773910[/C][C]7.93140264610234[/C][/ROW]
[ROW][C]0.27[/C][C]190.897465850882[/C][C]7.75683679706392[/C][/ROW]
[ROW][C]0.28[/C][C]192.903768920262[/C][C]7.54316370041215[/C][/ROW]
[ROW][C]0.29[/C][C]194.843015879295[/C][C]7.36029653224677[/C][/ROW]
[ROW][C]0.3[/C][C]196.727192917775[/C][C]7.25923581885785[/C][/ROW]
[ROW][C]0.31[/C][C]198.578493472022[/C][C]7.26648572711233[/C][/ROW]
[ROW][C]0.32[/C][C]200.424330696179[/C][C]7.38823621382393[/C][/ROW]
[ROW][C]0.33[/C][C]202.293345451187[/C][C]7.6209129098109[/C][/ROW]
[ROW][C]0.34[/C][C]204.212867231261[/C][C]7.95754320448218[/C][/ROW]
[ROW][C]0.35[/C][C]206.207385731524[/C][C]8.38820466629152[/C][/ROW]
[ROW][C]0.36[/C][C]208.297304176497[/C][C]8.89601690248111[/C][/ROW]
[ROW][C]0.37[/C][C]210.497562519737[/C][C]9.45421160523314[/C][/ROW]
[ROW][C]0.38[/C][C]212.816295091021[/C][C]10.0283582027770[/C][/ROW]
[ROW][C]0.39[/C][C]215.254090176881[/C][C]10.5803677429716[/C][/ROW]
[ROW][C]0.4[/C][C]217.804379356445[/C][C]11.0802018483735[/C][/ROW]
[ROW][C]0.41[/C][C]220.455025311297[/C][C]11.5083920616615[/C][/ROW]
[ROW][C]0.42[/C][C]223.190569762431[/C][C]11.8597463568966[/C][/ROW]
[ROW][C]0.43[/C][C]225.994199542517[/C][C]12.1373776839059[/C][/ROW]
[ROW][C]0.44[/C][C]228.848528638024[/C][C]12.3442099910169[/C][/ROW]
[ROW][C]0.45[/C][C]231.734789054513[/C][C]12.4740829018618[/C][/ROW]
[ROW][C]0.46[/C][C]234.630761046388[/C][C]12.5050710528827[/C][/ROW]
[ROW][C]0.47[/C][C]237.508425809635[/C][C]12.4035510972359[/C][/ROW]
[ROW][C]0.48[/C][C]240.332600997175[/C][C]12.1311138681455[/C][/ROW]
[ROW][C]0.49[/C][C]243.061594032508[/C][C]11.6572765047456[/C][/ROW]
[ROW][C]0.5[/C][C]245.650262350846[/C][C]10.9720281174073[/C][/ROW]
[ROW][C]0.51[/C][C]248.055051038086[/C][C]10.0921563210586[/C][/ROW]
[ROW][C]0.52[/C][C]250.239891269114[/C][C]9.06320351108558[/C][/ROW]
[ROW][C]0.53[/C][C]252.181525454031[/C][C]7.95190954346508[/C][/ROW]
[ROW][C]0.54[/C][C]253.872963002939[/C][C]6.83678247626401[/C][/ROW]
[ROW][C]0.55[/C][C]255.324281710836[/C][C]5.79467732937821[/C][/ROW]
[ROW][C]0.56[/C][C]256.560675491279[/C][C]4.88947736395811[/C][/ROW]
[ROW][C]0.57[/C][C]257.618284949329[/C][C]4.16386413599307[/C][/ROW]
[ROW][C]0.58[/C][C]258.538765991580[/C][C]3.63539021609593[/C][/ROW]
[ROW][C]0.59[/C][C]259.363687061480[/C][C]3.29498132199489[/C][/ROW]
[ROW][C]0.6[/C][C]260.129726385866[/C][C]3.11005010806249[/C][/ROW]
[ROW][C]0.61[/C][C]260.865351985550[/C][C]3.03354441350843[/C][/ROW]
[ROW][C]0.62[/C][C]261.589306982271[/C][C]3.01523602975600[/C][/ROW]
[ROW][C]0.63[/C][C]262.310873068144[/C][C]3.01295898462664[/C][/ROW]
[ROW][C]0.64[/C][C]263.031603178205[/C][C]2.99668590643586[/C][/ROW]
[ROW][C]0.65[/C][C]263.748033619675[/C][C]2.95169190127124[/C][/ROW]
[ROW][C]0.66[/C][C]264.454815673467[/C][C]2.87706055029005[/C][/ROW]
[ROW][C]0.67[/C][C]265.147731628411[/C][C]2.78418602877313[/C][/ROW]
[ROW][C]0.68[/C][C]265.826144773841[/C][C]2.69145766987673[/C][/ROW]
[ROW][C]0.69[/C][C]266.494537912071[/C][C]2.62451272121826[/C][/ROW]
[ROW][C]0.7[/C][C]267.162900769658[/C][C]2.60640659491508[/C][/ROW]
[ROW][C]0.71[/C][C]267.845845940522[/C][C]2.65547700911486[/C][/ROW]
[ROW][C]0.72[/C][C]268.560498733878[/C][C]2.77714803506086[/C][/ROW]
[ROW][C]0.73[/C][C]269.323437783587[/C][C]2.96134633229115[/C][/ROW]
[ROW][C]0.74[/C][C]270.147232105724[/C][C]3.18292567006103[/C][/ROW]
[ROW][C]0.75[/C][C]271.037343831987[/C][C]3.40658820652427[/C][/ROW]
[ROW][C]0.76[/C][C]271.990237067772[/C][C]3.59379967460929[/C][/ROW]
[ROW][C]0.77[/C][C]272.993369983756[/C][C]3.7113748598134[/C][/ROW]
[ROW][C]0.78[/C][C]274.027332088750[/C][C]3.73893258975838[/C][/ROW]
[ROW][C]0.79[/C][C]275.069785868242[/C][C]3.67421335810330[/C][/ROW]
[ROW][C]0.8[/C][C]276.100227637987[/C][C]3.53321144956416[/C][/ROW]
[ROW][C]0.81[/C][C]277.104118621938[/C][C]3.34738203235143[/C][/ROW]
[ROW][C]0.82[/C][C]278.074923273640[/C][C]3.15153723040759[/C][/ROW]
[ROW][C]0.83[/C][C]279.013246589909[/C][C]2.97283596416342[/C][/ROW]
[ROW][C]0.84[/C][C]279.923560448901[/C][C]2.82053517458106[/C][/ROW]
[ROW][C]0.85[/C][C]280.810467006867[/C][C]2.68481117320472[/C][/ROW]
[ROW][C]0.86[/C][C]281.677109320271[/C][C]2.55122758379163[/C][/ROW]
[ROW][C]0.87[/C][C]282.527241627984[/C][C]2.41681493635997[/C][/ROW]
[ROW][C]0.88[/C][C]283.369606977955[/C][C]2.30247690991562[/C][/ROW]
[ROW][C]0.89[/C][C]284.220457356996[/C][C]2.23967271082055[/C][/ROW]
[ROW][C]0.9[/C][C]285.100477122012[/C][C]2.23855032565634[/C][/ROW]
[ROW][C]0.91[/C][C]286.027811907469[/C][C]2.26812582837097[/C][/ROW]
[ROW][C]0.92[/C][C]287.015730101808[/C][C]2.28530211584267[/C][/ROW]
[ROW][C]0.93[/C][C]288.082079948199[/C][C]2.29529199187427[/C][/ROW]
[ROW][C]0.94[/C][C]289.261920720418[/C][C]2.36177361471573[/C][/ROW]
[ROW][C]0.95[/C][C]290.598738980061[/C][C]2.49732454135511[/C][/ROW]
[ROW][C]0.96[/C][C]292.107427466572[/C][C]2.55841319638840[/C][/ROW]
[ROW][C]0.97[/C][C]293.75150667761[/C][C]2.39455644870285[/C][/ROW]
[ROW][C]0.98[/C][C]295.458756502044[/C][C]2.04841496390696[/C][/ROW]
[ROW][C]0.99[/C][C]297.050115242714[/C][C]1.50255390444485[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78892&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78892&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
0.01117.04850687950210.4557712913150
0.02126.4251575932348.12342198396862
0.03133.2410381954657.03910472719975
0.04138.1225878636726.17408592825331
0.05141.8682231828615.58934442138619
0.06144.9479796610125.354450472974
0.07147.6790784287065.4765374543481
0.08150.2823890567135.9052781232144
0.09152.8864629036236.43621709108622
0.1155.5227639153066.81203342347809
0.11158.1445703727756.8900397508017
0.12160.6742732326116.7013050051257
0.13163.0521486653296.39068739512457
0.14165.2598700533746.102835293473
0.15167.3152350523715.90852264701575
0.16169.2535683619805.81015287555189
0.17171.1127813723835.79268722952205
0.18172.9286151521915.86404217609848
0.19174.7361642803696.05099734958
0.2176.5704908003316.36794347302438
0.21178.4624378264126.78710384182883
0.22180.4310258845757.23935316290888
0.23182.4769445585067.63576061868179
0.24184.5812536758287.90062162591916
0.25186.710562187897.99577350666593
0.26188.8267507739107.93140264610234
0.27190.8974658508827.75683679706392
0.28192.9037689202627.54316370041215
0.29194.8430158792957.36029653224677
0.3196.7271929177757.25923581885785
0.31198.5784934720227.26648572711233
0.32200.4243306961797.38823621382393
0.33202.2933454511877.6209129098109
0.34204.2128672312617.95754320448218
0.35206.2073857315248.38820466629152
0.36208.2973041764978.89601690248111
0.37210.4975625197379.45421160523314
0.38212.81629509102110.0283582027770
0.39215.25409017688110.5803677429716
0.4217.80437935644511.0802018483735
0.41220.45502531129711.5083920616615
0.42223.19056976243111.8597463568966
0.43225.99419954251712.1373776839059
0.44228.84852863802412.3442099910169
0.45231.73478905451312.4740829018618
0.46234.63076104638812.5050710528827
0.47237.50842580963512.4035510972359
0.48240.33260099717512.1311138681455
0.49243.06159403250811.6572765047456
0.5245.65026235084610.9720281174073
0.51248.05505103808610.0921563210586
0.52250.2398912691149.06320351108558
0.53252.1815254540317.95190954346508
0.54253.8729630029396.83678247626401
0.55255.3242817108365.79467732937821
0.56256.5606754912794.88947736395811
0.57257.6182849493294.16386413599307
0.58258.5387659915803.63539021609593
0.59259.3636870614803.29498132199489
0.6260.1297263858663.11005010806249
0.61260.8653519855503.03354441350843
0.62261.5893069822713.01523602975600
0.63262.3108730681443.01295898462664
0.64263.0316031782052.99668590643586
0.65263.7480336196752.95169190127124
0.66264.4548156734672.87706055029005
0.67265.1477316284112.78418602877313
0.68265.8261447738412.69145766987673
0.69266.4945379120712.62451272121826
0.7267.1629007696582.60640659491508
0.71267.8458459405222.65547700911486
0.72268.5604987338782.77714803506086
0.73269.3234377835872.96134633229115
0.74270.1472321057243.18292567006103
0.75271.0373438319873.40658820652427
0.76271.9902370677723.59379967460929
0.77272.9933699837563.7113748598134
0.78274.0273320887503.73893258975838
0.79275.0697858682423.67421335810330
0.8276.1002276379873.53321144956416
0.81277.1041186219383.34738203235143
0.82278.0749232736403.15153723040759
0.83279.0132465899092.97283596416342
0.84279.9235604489012.82053517458106
0.85280.8104670068672.68481117320472
0.86281.6771093202712.55122758379163
0.87282.5272416279842.41681493635997
0.88283.3696069779552.30247690991562
0.89284.2204573569962.23967271082055
0.9285.1004771220122.23855032565634
0.91286.0278119074692.26812582837097
0.92287.0157301018082.28530211584267
0.93288.0820799481992.29529199187427
0.94289.2619207204182.36177361471573
0.95290.5987389800612.49732454135511
0.96292.1074274665722.55841319638840
0.97293.751506677612.39455644870285
0.98295.4587565020442.04841496390696
0.99297.0501152427141.50255390444485


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')