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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 computationWed, 04 Aug 2010 15:28:52 +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/04/t1280935746p5t1e7k8bdox1ne.htm/, Retrieved Fri, 03 May 2024 09:59:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78343, Retrieved Fri, 03 May 2024 09:59:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsMathias Goossenaerts
Estimated Impact126

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 1 - Sta...] [2010-08-04 15:28:52] [f7fc4e1bbbe57039ee5ebdd2c8b864c0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
36
35
34
32
52
51
36
26
27
27
28
30
28
29
25
28
55
53
42
32
37
41
37
38
39
32
36
39
83
83
66
53
72
77
69
72
81
71
63
66
114
116
109
97
111
120
110
106
115
110
103
112
163
166
156
140
166
176
163
162
171
167
163
168
222
216
197
178
204
220
196
195
213
218
216
225
280
272
252
230
248
259
240
237
252
250
255
255
313
291
271
247
268
283
259
259
267
270
279
269
334
326
301
276
301
313
291
287
289
298
320
312
385
380
351
322
350
363
344
345

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78343&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78343&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78343&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0125.66643720272650.91505121103584
0.0226.52205730980060.831709852814249
0.0327.22921402813010.846455244497332
0.0427.85880760013021.04973063423199
0.0528.53328347604721.40904546260354
0.0629.31918984602481.80960753633766
0.0730.21976696871462.13110958213820
0.0831.19487093821682.32365845076707
0.0932.19252606785482.40557402105606
0.133.17335970553872.42157966224297
0.1134.12066160682282.42437756855197
0.1235.04243283764412.48502711438932
0.1335.97144450605552.69425733563902
0.1436.9627303223323.13355664046581
0.1538.08570199101243.83538365472659
0.1639.41097444719244.77098214102943
0.1740.99553254741085.86254156727551
0.1842.87105204904817.00595426660364
0.1945.03888383241218.09650811119162
0.247.47263669717719.05267354907778
0.2150.12676849949229.8309273412645
0.2252.948104922041410.4287816828581
0.2355.88712844263910.8779701313970
0.2458.906830101908611.2349573575992
0.2561.988048504486611.5713353691398
0.2665.13089622740311.9616262786945
0.2768.352111029552312.4660776988424
0.2871.678480781997913.1107956681079
0.2975.13730749967313.8725520325082
0.378.746084028684614.6795690611279
0.3182.504515378727415.4312498502809
0.3286.391984821724516.0313474449181
0.3390.372202168502216.4233205985214
0.3494.404387821245516.6162110630775
0.3598.457794946715716.6937989267227
0.36102.52468452154916.7976940858161
0.37106.62681646414017.0871992314225
0.38110.81229280413217.6815547129779
0.39115.14268877022118.6060489692086
0.4119.67380489466619.7707340953180
0.41124.43585852421820.9918332657377
0.42129.41955479084622.0448413264770
0.43134.57290881849522.7283388641637
0.44139.81038874125422.9190389342656
0.45145.03201868704322.6045849125344
0.46150.14688403403721.8879449802150
0.47155.09412468175120.9625368084088
0.48159.85541766296120.0594990295619
0.49164.45574718172119.3888916200814
0.5168.95290790107819.0800859305708
0.51173.41943894506319.1504379910845
0.52177.92254370994019.5085486498239
0.53182.50758135555119.9993128247574
0.54187.18911742679120.4536075716741
0.55191.95095981937920.7351770265741
0.56196.75393692531720.7673060427436
0.57201.54816417513520.5397090804965
0.58206.28568170220920.0989338164854
0.59210.92975663990719.5247961058307
0.6215.45860430753318.8995766198814
0.61219.86329598514318.2793936728487
0.62224.14154916983417.6788331863707
0.63228.29033376376517.0734154824716
0.64232.30038693806616.4163097396194
0.65236.15478264778115.6644036564328
0.66239.83201440584714.8008223151122
0.67243.31226666070613.8455815163398
0.68246.58435634716712.8525606250717
0.69249.65067400538711.8947354829749
0.7252.52837158232511.0416332030123
0.71255.24661866031610.3402363642633
0.72257.8412965926899.80398154229964
0.73260.3493575524619.41843203019734
0.74262.8048931549339.15363757771441
0.75265.237868832878.98423915423166
0.76267.6750613850078.89660076093006
0.77270.1417423835648.88892746214104
0.78272.6626187223178.96075675676823
0.79275.2614635294089.10338641939792
0.8277.9601231542429.29912263352767
0.81280.7782476417619.52915294726546
0.82283.7345306268929.78460670713553
0.83286.8486630020610.0697365995759
0.84290.14176105443110.3917081221043
0.85293.63328159032110.7399769866633
0.86297.33519789410411.0741958390224
0.87301.24835661747911.3335705309227
0.88305.36807449692711.4819600329467
0.89309.70195938533811.5555252168438
0.9314.29112927489811.6732392528071
0.91319.21213691128511.9544896434384
0.92324.53644940197112.3549476390906
0.93330.25700741105912.5634861492478
0.94336.25962182987712.1813439991536
0.95342.46952844237911.2263861111772
0.96349.20985883750810.6664205873099
0.97357.41471175232211.8829186479584
0.98367.80893308146413.5878908549333
0.99378.68683574918110.7362954092088

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 25.6664372027265 & 0.91505121103584 \tabularnewline
0.02 & 26.5220573098006 & 0.831709852814249 \tabularnewline
0.03 & 27.2292140281301 & 0.846455244497332 \tabularnewline
0.04 & 27.8588076001302 & 1.04973063423199 \tabularnewline
0.05 & 28.5332834760472 & 1.40904546260354 \tabularnewline
0.06 & 29.3191898460248 & 1.80960753633766 \tabularnewline
0.07 & 30.2197669687146 & 2.13110958213820 \tabularnewline
0.08 & 31.1948709382168 & 2.32365845076707 \tabularnewline
0.09 & 32.1925260678548 & 2.40557402105606 \tabularnewline
0.1 & 33.1733597055387 & 2.42157966224297 \tabularnewline
0.11 & 34.1206616068228 & 2.42437756855197 \tabularnewline
0.12 & 35.0424328376441 & 2.48502711438932 \tabularnewline
0.13 & 35.9714445060555 & 2.69425733563902 \tabularnewline
0.14 & 36.962730322332 & 3.13355664046581 \tabularnewline
0.15 & 38.0857019910124 & 3.83538365472659 \tabularnewline
0.16 & 39.4109744471924 & 4.77098214102943 \tabularnewline
0.17 & 40.9955325474108 & 5.86254156727551 \tabularnewline
0.18 & 42.8710520490481 & 7.00595426660364 \tabularnewline
0.19 & 45.0388838324121 & 8.09650811119162 \tabularnewline
0.2 & 47.4726366971771 & 9.05267354907778 \tabularnewline
0.21 & 50.1267684994922 & 9.8309273412645 \tabularnewline
0.22 & 52.9481049220414 & 10.4287816828581 \tabularnewline
0.23 & 55.887128442639 & 10.8779701313970 \tabularnewline
0.24 & 58.9068301019086 & 11.2349573575992 \tabularnewline
0.25 & 61.9880485044866 & 11.5713353691398 \tabularnewline
0.26 & 65.130896227403 & 11.9616262786945 \tabularnewline
0.27 & 68.3521110295523 & 12.4660776988424 \tabularnewline
0.28 & 71.6784807819979 & 13.1107956681079 \tabularnewline
0.29 & 75.137307499673 & 13.8725520325082 \tabularnewline
0.3 & 78.7460840286846 & 14.6795690611279 \tabularnewline
0.31 & 82.5045153787274 & 15.4312498502809 \tabularnewline
0.32 & 86.3919848217245 & 16.0313474449181 \tabularnewline
0.33 & 90.3722021685022 & 16.4233205985214 \tabularnewline
0.34 & 94.4043878212455 & 16.6162110630775 \tabularnewline
0.35 & 98.4577949467157 & 16.6937989267227 \tabularnewline
0.36 & 102.524684521549 & 16.7976940858161 \tabularnewline
0.37 & 106.626816464140 & 17.0871992314225 \tabularnewline
0.38 & 110.812292804132 & 17.6815547129779 \tabularnewline
0.39 & 115.142688770221 & 18.6060489692086 \tabularnewline
0.4 & 119.673804894666 & 19.7707340953180 \tabularnewline
0.41 & 124.435858524218 & 20.9918332657377 \tabularnewline
0.42 & 129.419554790846 & 22.0448413264770 \tabularnewline
0.43 & 134.572908818495 & 22.7283388641637 \tabularnewline
0.44 & 139.810388741254 & 22.9190389342656 \tabularnewline
0.45 & 145.032018687043 & 22.6045849125344 \tabularnewline
0.46 & 150.146884034037 & 21.8879449802150 \tabularnewline
0.47 & 155.094124681751 & 20.9625368084088 \tabularnewline
0.48 & 159.855417662961 & 20.0594990295619 \tabularnewline
0.49 & 164.455747181721 & 19.3888916200814 \tabularnewline
0.5 & 168.952907901078 & 19.0800859305708 \tabularnewline
0.51 & 173.419438945063 & 19.1504379910845 \tabularnewline
0.52 & 177.922543709940 & 19.5085486498239 \tabularnewline
0.53 & 182.507581355551 & 19.9993128247574 \tabularnewline
0.54 & 187.189117426791 & 20.4536075716741 \tabularnewline
0.55 & 191.950959819379 & 20.7351770265741 \tabularnewline
0.56 & 196.753936925317 & 20.7673060427436 \tabularnewline
0.57 & 201.548164175135 & 20.5397090804965 \tabularnewline
0.58 & 206.285681702209 & 20.0989338164854 \tabularnewline
0.59 & 210.929756639907 & 19.5247961058307 \tabularnewline
0.6 & 215.458604307533 & 18.8995766198814 \tabularnewline
0.61 & 219.863295985143 & 18.2793936728487 \tabularnewline
0.62 & 224.141549169834 & 17.6788331863707 \tabularnewline
0.63 & 228.290333763765 & 17.0734154824716 \tabularnewline
0.64 & 232.300386938066 & 16.4163097396194 \tabularnewline
0.65 & 236.154782647781 & 15.6644036564328 \tabularnewline
0.66 & 239.832014405847 & 14.8008223151122 \tabularnewline
0.67 & 243.312266660706 & 13.8455815163398 \tabularnewline
0.68 & 246.584356347167 & 12.8525606250717 \tabularnewline
0.69 & 249.650674005387 & 11.8947354829749 \tabularnewline
0.7 & 252.528371582325 & 11.0416332030123 \tabularnewline
0.71 & 255.246618660316 & 10.3402363642633 \tabularnewline
0.72 & 257.841296592689 & 9.80398154229964 \tabularnewline
0.73 & 260.349357552461 & 9.41843203019734 \tabularnewline
0.74 & 262.804893154933 & 9.15363757771441 \tabularnewline
0.75 & 265.23786883287 & 8.98423915423166 \tabularnewline
0.76 & 267.675061385007 & 8.89660076093006 \tabularnewline
0.77 & 270.141742383564 & 8.88892746214104 \tabularnewline
0.78 & 272.662618722317 & 8.96075675676823 \tabularnewline
0.79 & 275.261463529408 & 9.10338641939792 \tabularnewline
0.8 & 277.960123154242 & 9.29912263352767 \tabularnewline
0.81 & 280.778247641761 & 9.52915294726546 \tabularnewline
0.82 & 283.734530626892 & 9.78460670713553 \tabularnewline
0.83 & 286.84866300206 & 10.0697365995759 \tabularnewline
0.84 & 290.141761054431 & 10.3917081221043 \tabularnewline
0.85 & 293.633281590321 & 10.7399769866633 \tabularnewline
0.86 & 297.335197894104 & 11.0741958390224 \tabularnewline
0.87 & 301.248356617479 & 11.3335705309227 \tabularnewline
0.88 & 305.368074496927 & 11.4819600329467 \tabularnewline
0.89 & 309.701959385338 & 11.5555252168438 \tabularnewline
0.9 & 314.291129274898 & 11.6732392528071 \tabularnewline
0.91 & 319.212136911285 & 11.9544896434384 \tabularnewline
0.92 & 324.536449401971 & 12.3549476390906 \tabularnewline
0.93 & 330.257007411059 & 12.5634861492478 \tabularnewline
0.94 & 336.259621829877 & 12.1813439991536 \tabularnewline
0.95 & 342.469528442379 & 11.2263861111772 \tabularnewline
0.96 & 349.209858837508 & 10.6664205873099 \tabularnewline
0.97 & 357.414711752322 & 11.8829186479584 \tabularnewline
0.98 & 367.808933081464 & 13.5878908549333 \tabularnewline
0.99 & 378.686835749181 & 10.7362954092088 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78343&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]25.6664372027265[/C][C]0.91505121103584[/C][/ROW]
[ROW][C]0.02[/C][C]26.5220573098006[/C][C]0.831709852814249[/C][/ROW]
[ROW][C]0.03[/C][C]27.2292140281301[/C][C]0.846455244497332[/C][/ROW]
[ROW][C]0.04[/C][C]27.8588076001302[/C][C]1.04973063423199[/C][/ROW]
[ROW][C]0.05[/C][C]28.5332834760472[/C][C]1.40904546260354[/C][/ROW]
[ROW][C]0.06[/C][C]29.3191898460248[/C][C]1.80960753633766[/C][/ROW]
[ROW][C]0.07[/C][C]30.2197669687146[/C][C]2.13110958213820[/C][/ROW]
[ROW][C]0.08[/C][C]31.1948709382168[/C][C]2.32365845076707[/C][/ROW]
[ROW][C]0.09[/C][C]32.1925260678548[/C][C]2.40557402105606[/C][/ROW]
[ROW][C]0.1[/C][C]33.1733597055387[/C][C]2.42157966224297[/C][/ROW]
[ROW][C]0.11[/C][C]34.1206616068228[/C][C]2.42437756855197[/C][/ROW]
[ROW][C]0.12[/C][C]35.0424328376441[/C][C]2.48502711438932[/C][/ROW]
[ROW][C]0.13[/C][C]35.9714445060555[/C][C]2.69425733563902[/C][/ROW]
[ROW][C]0.14[/C][C]36.962730322332[/C][C]3.13355664046581[/C][/ROW]
[ROW][C]0.15[/C][C]38.0857019910124[/C][C]3.83538365472659[/C][/ROW]
[ROW][C]0.16[/C][C]39.4109744471924[/C][C]4.77098214102943[/C][/ROW]
[ROW][C]0.17[/C][C]40.9955325474108[/C][C]5.86254156727551[/C][/ROW]
[ROW][C]0.18[/C][C]42.8710520490481[/C][C]7.00595426660364[/C][/ROW]
[ROW][C]0.19[/C][C]45.0388838324121[/C][C]8.09650811119162[/C][/ROW]
[ROW][C]0.2[/C][C]47.4726366971771[/C][C]9.05267354907778[/C][/ROW]
[ROW][C]0.21[/C][C]50.1267684994922[/C][C]9.8309273412645[/C][/ROW]
[ROW][C]0.22[/C][C]52.9481049220414[/C][C]10.4287816828581[/C][/ROW]
[ROW][C]0.23[/C][C]55.887128442639[/C][C]10.8779701313970[/C][/ROW]
[ROW][C]0.24[/C][C]58.9068301019086[/C][C]11.2349573575992[/C][/ROW]
[ROW][C]0.25[/C][C]61.9880485044866[/C][C]11.5713353691398[/C][/ROW]
[ROW][C]0.26[/C][C]65.130896227403[/C][C]11.9616262786945[/C][/ROW]
[ROW][C]0.27[/C][C]68.3521110295523[/C][C]12.4660776988424[/C][/ROW]
[ROW][C]0.28[/C][C]71.6784807819979[/C][C]13.1107956681079[/C][/ROW]
[ROW][C]0.29[/C][C]75.137307499673[/C][C]13.8725520325082[/C][/ROW]
[ROW][C]0.3[/C][C]78.7460840286846[/C][C]14.6795690611279[/C][/ROW]
[ROW][C]0.31[/C][C]82.5045153787274[/C][C]15.4312498502809[/C][/ROW]
[ROW][C]0.32[/C][C]86.3919848217245[/C][C]16.0313474449181[/C][/ROW]
[ROW][C]0.33[/C][C]90.3722021685022[/C][C]16.4233205985214[/C][/ROW]
[ROW][C]0.34[/C][C]94.4043878212455[/C][C]16.6162110630775[/C][/ROW]
[ROW][C]0.35[/C][C]98.4577949467157[/C][C]16.6937989267227[/C][/ROW]
[ROW][C]0.36[/C][C]102.524684521549[/C][C]16.7976940858161[/C][/ROW]
[ROW][C]0.37[/C][C]106.626816464140[/C][C]17.0871992314225[/C][/ROW]
[ROW][C]0.38[/C][C]110.812292804132[/C][C]17.6815547129779[/C][/ROW]
[ROW][C]0.39[/C][C]115.142688770221[/C][C]18.6060489692086[/C][/ROW]
[ROW][C]0.4[/C][C]119.673804894666[/C][C]19.7707340953180[/C][/ROW]
[ROW][C]0.41[/C][C]124.435858524218[/C][C]20.9918332657377[/C][/ROW]
[ROW][C]0.42[/C][C]129.419554790846[/C][C]22.0448413264770[/C][/ROW]
[ROW][C]0.43[/C][C]134.572908818495[/C][C]22.7283388641637[/C][/ROW]
[ROW][C]0.44[/C][C]139.810388741254[/C][C]22.9190389342656[/C][/ROW]
[ROW][C]0.45[/C][C]145.032018687043[/C][C]22.6045849125344[/C][/ROW]
[ROW][C]0.46[/C][C]150.146884034037[/C][C]21.8879449802150[/C][/ROW]
[ROW][C]0.47[/C][C]155.094124681751[/C][C]20.9625368084088[/C][/ROW]
[ROW][C]0.48[/C][C]159.855417662961[/C][C]20.0594990295619[/C][/ROW]
[ROW][C]0.49[/C][C]164.455747181721[/C][C]19.3888916200814[/C][/ROW]
[ROW][C]0.5[/C][C]168.952907901078[/C][C]19.0800859305708[/C][/ROW]
[ROW][C]0.51[/C][C]173.419438945063[/C][C]19.1504379910845[/C][/ROW]
[ROW][C]0.52[/C][C]177.922543709940[/C][C]19.5085486498239[/C][/ROW]
[ROW][C]0.53[/C][C]182.507581355551[/C][C]19.9993128247574[/C][/ROW]
[ROW][C]0.54[/C][C]187.189117426791[/C][C]20.4536075716741[/C][/ROW]
[ROW][C]0.55[/C][C]191.950959819379[/C][C]20.7351770265741[/C][/ROW]
[ROW][C]0.56[/C][C]196.753936925317[/C][C]20.7673060427436[/C][/ROW]
[ROW][C]0.57[/C][C]201.548164175135[/C][C]20.5397090804965[/C][/ROW]
[ROW][C]0.58[/C][C]206.285681702209[/C][C]20.0989338164854[/C][/ROW]
[ROW][C]0.59[/C][C]210.929756639907[/C][C]19.5247961058307[/C][/ROW]
[ROW][C]0.6[/C][C]215.458604307533[/C][C]18.8995766198814[/C][/ROW]
[ROW][C]0.61[/C][C]219.863295985143[/C][C]18.2793936728487[/C][/ROW]
[ROW][C]0.62[/C][C]224.141549169834[/C][C]17.6788331863707[/C][/ROW]
[ROW][C]0.63[/C][C]228.290333763765[/C][C]17.0734154824716[/C][/ROW]
[ROW][C]0.64[/C][C]232.300386938066[/C][C]16.4163097396194[/C][/ROW]
[ROW][C]0.65[/C][C]236.154782647781[/C][C]15.6644036564328[/C][/ROW]
[ROW][C]0.66[/C][C]239.832014405847[/C][C]14.8008223151122[/C][/ROW]
[ROW][C]0.67[/C][C]243.312266660706[/C][C]13.8455815163398[/C][/ROW]
[ROW][C]0.68[/C][C]246.584356347167[/C][C]12.8525606250717[/C][/ROW]
[ROW][C]0.69[/C][C]249.650674005387[/C][C]11.8947354829749[/C][/ROW]
[ROW][C]0.7[/C][C]252.528371582325[/C][C]11.0416332030123[/C][/ROW]
[ROW][C]0.71[/C][C]255.246618660316[/C][C]10.3402363642633[/C][/ROW]
[ROW][C]0.72[/C][C]257.841296592689[/C][C]9.80398154229964[/C][/ROW]
[ROW][C]0.73[/C][C]260.349357552461[/C][C]9.41843203019734[/C][/ROW]
[ROW][C]0.74[/C][C]262.804893154933[/C][C]9.15363757771441[/C][/ROW]
[ROW][C]0.75[/C][C]265.23786883287[/C][C]8.98423915423166[/C][/ROW]
[ROW][C]0.76[/C][C]267.675061385007[/C][C]8.89660076093006[/C][/ROW]
[ROW][C]0.77[/C][C]270.141742383564[/C][C]8.88892746214104[/C][/ROW]
[ROW][C]0.78[/C][C]272.662618722317[/C][C]8.96075675676823[/C][/ROW]
[ROW][C]0.79[/C][C]275.261463529408[/C][C]9.10338641939792[/C][/ROW]
[ROW][C]0.8[/C][C]277.960123154242[/C][C]9.29912263352767[/C][/ROW]
[ROW][C]0.81[/C][C]280.778247641761[/C][C]9.52915294726546[/C][/ROW]
[ROW][C]0.82[/C][C]283.734530626892[/C][C]9.78460670713553[/C][/ROW]
[ROW][C]0.83[/C][C]286.84866300206[/C][C]10.0697365995759[/C][/ROW]
[ROW][C]0.84[/C][C]290.141761054431[/C][C]10.3917081221043[/C][/ROW]
[ROW][C]0.85[/C][C]293.633281590321[/C][C]10.7399769866633[/C][/ROW]
[ROW][C]0.86[/C][C]297.335197894104[/C][C]11.0741958390224[/C][/ROW]
[ROW][C]0.87[/C][C]301.248356617479[/C][C]11.3335705309227[/C][/ROW]
[ROW][C]0.88[/C][C]305.368074496927[/C][C]11.4819600329467[/C][/ROW]
[ROW][C]0.89[/C][C]309.701959385338[/C][C]11.5555252168438[/C][/ROW]
[ROW][C]0.9[/C][C]314.291129274898[/C][C]11.6732392528071[/C][/ROW]
[ROW][C]0.91[/C][C]319.212136911285[/C][C]11.9544896434384[/C][/ROW]
[ROW][C]0.92[/C][C]324.536449401971[/C][C]12.3549476390906[/C][/ROW]
[ROW][C]0.93[/C][C]330.257007411059[/C][C]12.5634861492478[/C][/ROW]
[ROW][C]0.94[/C][C]336.259621829877[/C][C]12.1813439991536[/C][/ROW]
[ROW][C]0.95[/C][C]342.469528442379[/C][C]11.2263861111772[/C][/ROW]
[ROW][C]0.96[/C][C]349.209858837508[/C][C]10.6664205873099[/C][/ROW]
[ROW][C]0.97[/C][C]357.414711752322[/C][C]11.8829186479584[/C][/ROW]
[ROW][C]0.98[/C][C]367.808933081464[/C][C]13.5878908549333[/C][/ROW]
[ROW][C]0.99[/C][C]378.686835749181[/C][C]10.7362954092088[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78343&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78343&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
0.0125.66643720272650.91505121103584
0.0226.52205730980060.831709852814249
0.0327.22921402813010.846455244497332
0.0427.85880760013021.04973063423199
0.0528.53328347604721.40904546260354
0.0629.31918984602481.80960753633766
0.0730.21976696871462.13110958213820
0.0831.19487093821682.32365845076707
0.0932.19252606785482.40557402105606
0.133.17335970553872.42157966224297
0.1134.12066160682282.42437756855197
0.1235.04243283764412.48502711438932
0.1335.97144450605552.69425733563902
0.1436.9627303223323.13355664046581
0.1538.08570199101243.83538365472659
0.1639.41097444719244.77098214102943
0.1740.99553254741085.86254156727551
0.1842.87105204904817.00595426660364
0.1945.03888383241218.09650811119162
0.247.47263669717719.05267354907778
0.2150.12676849949229.8309273412645
0.2252.948104922041410.4287816828581
0.2355.88712844263910.8779701313970
0.2458.906830101908611.2349573575992
0.2561.988048504486611.5713353691398
0.2665.13089622740311.9616262786945
0.2768.352111029552312.4660776988424
0.2871.678480781997913.1107956681079
0.2975.13730749967313.8725520325082
0.378.746084028684614.6795690611279
0.3182.504515378727415.4312498502809
0.3286.391984821724516.0313474449181
0.3390.372202168502216.4233205985214
0.3494.404387821245516.6162110630775
0.3598.457794946715716.6937989267227
0.36102.52468452154916.7976940858161
0.37106.62681646414017.0871992314225
0.38110.81229280413217.6815547129779
0.39115.14268877022118.6060489692086
0.4119.67380489466619.7707340953180
0.41124.43585852421820.9918332657377
0.42129.41955479084622.0448413264770
0.43134.57290881849522.7283388641637
0.44139.81038874125422.9190389342656
0.45145.03201868704322.6045849125344
0.46150.14688403403721.8879449802150
0.47155.09412468175120.9625368084088
0.48159.85541766296120.0594990295619
0.49164.45574718172119.3888916200814
0.5168.95290790107819.0800859305708
0.51173.41943894506319.1504379910845
0.52177.92254370994019.5085486498239
0.53182.50758135555119.9993128247574
0.54187.18911742679120.4536075716741
0.55191.95095981937920.7351770265741
0.56196.75393692531720.7673060427436
0.57201.54816417513520.5397090804965
0.58206.28568170220920.0989338164854
0.59210.92975663990719.5247961058307
0.6215.45860430753318.8995766198814
0.61219.86329598514318.2793936728487
0.62224.14154916983417.6788331863707
0.63228.29033376376517.0734154824716
0.64232.30038693806616.4163097396194
0.65236.15478264778115.6644036564328
0.66239.83201440584714.8008223151122
0.67243.31226666070613.8455815163398
0.68246.58435634716712.8525606250717
0.69249.65067400538711.8947354829749
0.7252.52837158232511.0416332030123
0.71255.24661866031610.3402363642633
0.72257.8412965926899.80398154229964
0.73260.3493575524619.41843203019734
0.74262.8048931549339.15363757771441
0.75265.237868832878.98423915423166
0.76267.6750613850078.89660076093006
0.77270.1417423835648.88892746214104
0.78272.6626187223178.96075675676823
0.79275.2614635294089.10338641939792
0.8277.9601231542429.29912263352767
0.81280.7782476417619.52915294726546
0.82283.7345306268929.78460670713553
0.83286.8486630020610.0697365995759
0.84290.14176105443110.3917081221043
0.85293.63328159032110.7399769866633
0.86297.33519789410411.0741958390224
0.87301.24835661747911.3335705309227
0.88305.36807449692711.4819600329467
0.89309.70195938533811.5555252168438
0.9314.29112927489811.6732392528071
0.91319.21213691128511.9544896434384
0.92324.53644940197112.3549476390906
0.93330.25700741105912.5634861492478
0.94336.25962182987712.1813439991536
0.95342.46952844237911.2263861111772
0.96349.20985883750810.6664205873099
0.97357.41471175232211.8829186479584
0.98367.80893308146413.5878908549333
0.99378.68683574918110.7362954092088


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')