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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, 01 Jul 2010 14:32:47 +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/Jul/01/t1277994810lf5atv3h4s5eldr.htm/, Retrieved Sat, 04 May 2024 05:14:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=77893, Retrieved Sat, 04 May 2024 05:14:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSteffi Poppe
Estimated Impact190

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] [Tijdreeks1-Stap12] [2010-07-01 14:32:47] [b37bab310ab56201887748d7a7c0dc58] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
300
299
298
296
316
315
300
290
291
291
292
294
302
296
282
282
298
300
289
275
270
269
268
260
271
269
260
262
285
286
272
248
240
234
231
222
233
236
226
232
248
253
233
216
209
202
204
193
201
201
188
198
220
225
215
198
195
183
180
170
175
180
161
174
195
198
188
173
162
149
140
129
132
133
116
128
148
154
152
141
136
119
114
100
108
115
101
116
131
133
135
124
131
113
118
99
107
112
106
121
138
134
132
121
132
113
112
91
96
99
99
110
127
122
124
114
129
113
115
94

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77893&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77893&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77893&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.94953162554872.67495192159180
0.0295.47817718654112.50909863641878
0.0397.5219776696042.25476707690806
0.0499.14951585940282.38586871687759
0.05100.6974462515093.07254357854149
0.06102.3965210790583.83049370954529
0.07104.2600319546004.25513531095850
0.08106.1537547826944.2426268923623
0.09107.9218917205223.90039019099951
0.1109.4650022707693.40046649950937
0.11110.7554052338622.89163988779056
0.12111.8198670616272.4798889626502
0.13112.7159219754932.23239300513498
0.14113.5124182589212.17741139243584
0.15114.2758138662862.30234024629622
0.16115.0615328818032.56720226730616
0.17115.9095938419032.9221058663077
0.18116.8435664732273.31798362145298
0.19117.8717715861203.71183733655873
0.2118.9897580219964.06801328861226
0.21120.1833392750864.35954902304163
0.22121.4317029068284.56874983882467
0.23122.7103332853224.68532441775965
0.24123.9937390062674.70747670847392
0.25125.2581641125684.64282201279161
0.26126.4844610489994.51093428069085
0.27127.6610915843484.34556490041867
0.28128.786922844594.19307026700398
0.29129.8732772787144.1106026327238
0.3130.9446905013944.15878255142836
0.31132.0380242326424.39231540995183
0.32133.1998824736984.84844117060067
0.33134.4825806544285.53983911447854
0.34135.9391464457316.45358505832462
0.35137.6179593621127.5547377169233
0.36139.5576680935308.78997459304573
0.37141.78297739187410.0916109644957
0.38144.30179016696411.3844499994004
0.39147.10404153636012.5916497254444
0.4150.16237971072013.6435447877217
0.41153.43463783813614.4823275670958
0.42156.86780764911515.0710820611557
0.43160.40299289304115.3943001004669
0.44163.98063832526315.4600930314169
0.45167.54526884059415.2962500900411
0.46171.04909313957514.9430835387141
0.47174.45413314591414.4476176121197
0.48177.73295772107213.8557020679001
0.49180.86847943574613.2095361962725
0.5183.85345493001512.5465737596414
0.51186.69021702329411.9044293006904
0.52189.39078948649711.3244331754832
0.53191.97705089223210.8513441521044
0.54194.48024776817010.5300737602687
0.55196.93910426531510.3946777892498
0.56199.39610892370310.4572107795644
0.57201.89218951782610.6995362840341
0.58204.46069069682811.0693597505658
0.59207.12207352265611.4925139965789
0.6209.88084546992811.8873321931193
0.61212.72582804935312.1836906263174
0.62215.63406727450912.3392906268354
0.63218.57771076839112.3486422253331
0.64221.53229021965412.2452166582904
0.65224.48430911510412.0944705229648
0.66227.43601000047711.9777160927640
0.67230.40573761832011.9703141728431
0.68233.42335293525512.1150195773808
0.69236.52148349411012.4057340383952
0.7239.72469045684012.7823289550698
0.71243.03950047847113.1447091268942
0.72246.44835079904913.3808473282404
0.73249.90967821976413.3946126639442
0.74253.36477772107613.1337333655003
0.75256.75006456637412.6041255100611
0.76260.01155538854211.8715152286756
0.77263.11731360649811.0461873654186
0.78266.06373766557210.2549169095886
0.79268.8731114938919.60050467888017
0.8271.5825783640729.12748452391797
0.81274.2278890199538.80283641849303
0.82276.8276878548138.53112998488472
0.83279.3744863250728.19788796663152
0.84281.836254713787.71991252270477
0.85284.1683513498877.07646600202828
0.86286.3309811738756.31397766649477
0.87288.3045631782665.52604402864253
0.88290.0958179080234.81025341576963
0.89291.7314356244034.22569553073911
0.9293.242522949743.76441054622076
0.91294.6484061415423.36362062505610
0.92295.9491313030042.95519686134311
0.93297.1325566624942.51079374940401
0.94298.2037888078662.06319670892027
0.95299.2650730626751.76695648311155
0.96300.6875409307832.15814402870658
0.97303.2622810585264.01716670799568
0.98307.7150124970536.53794874228105
0.99313.0299459187895.67804671098001

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.9495316255487 & 2.67495192159180 \tabularnewline
0.02 & 95.4781771865411 & 2.50909863641878 \tabularnewline
0.03 & 97.521977669604 & 2.25476707690806 \tabularnewline
0.04 & 99.1495158594028 & 2.38586871687759 \tabularnewline
0.05 & 100.697446251509 & 3.07254357854149 \tabularnewline
0.06 & 102.396521079058 & 3.83049370954529 \tabularnewline
0.07 & 104.260031954600 & 4.25513531095850 \tabularnewline
0.08 & 106.153754782694 & 4.2426268923623 \tabularnewline
0.09 & 107.921891720522 & 3.90039019099951 \tabularnewline
0.1 & 109.465002270769 & 3.40046649950937 \tabularnewline
0.11 & 110.755405233862 & 2.89163988779056 \tabularnewline
0.12 & 111.819867061627 & 2.4798889626502 \tabularnewline
0.13 & 112.715921975493 & 2.23239300513498 \tabularnewline
0.14 & 113.512418258921 & 2.17741139243584 \tabularnewline
0.15 & 114.275813866286 & 2.30234024629622 \tabularnewline
0.16 & 115.061532881803 & 2.56720226730616 \tabularnewline
0.17 & 115.909593841903 & 2.9221058663077 \tabularnewline
0.18 & 116.843566473227 & 3.31798362145298 \tabularnewline
0.19 & 117.871771586120 & 3.71183733655873 \tabularnewline
0.2 & 118.989758021996 & 4.06801328861226 \tabularnewline
0.21 & 120.183339275086 & 4.35954902304163 \tabularnewline
0.22 & 121.431702906828 & 4.56874983882467 \tabularnewline
0.23 & 122.710333285322 & 4.68532441775965 \tabularnewline
0.24 & 123.993739006267 & 4.70747670847392 \tabularnewline
0.25 & 125.258164112568 & 4.64282201279161 \tabularnewline
0.26 & 126.484461048999 & 4.51093428069085 \tabularnewline
0.27 & 127.661091584348 & 4.34556490041867 \tabularnewline
0.28 & 128.78692284459 & 4.19307026700398 \tabularnewline
0.29 & 129.873277278714 & 4.1106026327238 \tabularnewline
0.3 & 130.944690501394 & 4.15878255142836 \tabularnewline
0.31 & 132.038024232642 & 4.39231540995183 \tabularnewline
0.32 & 133.199882473698 & 4.84844117060067 \tabularnewline
0.33 & 134.482580654428 & 5.53983911447854 \tabularnewline
0.34 & 135.939146445731 & 6.45358505832462 \tabularnewline
0.35 & 137.617959362112 & 7.5547377169233 \tabularnewline
0.36 & 139.557668093530 & 8.78997459304573 \tabularnewline
0.37 & 141.782977391874 & 10.0916109644957 \tabularnewline
0.38 & 144.301790166964 & 11.3844499994004 \tabularnewline
0.39 & 147.104041536360 & 12.5916497254444 \tabularnewline
0.4 & 150.162379710720 & 13.6435447877217 \tabularnewline
0.41 & 153.434637838136 & 14.4823275670958 \tabularnewline
0.42 & 156.867807649115 & 15.0710820611557 \tabularnewline
0.43 & 160.402992893041 & 15.3943001004669 \tabularnewline
0.44 & 163.980638325263 & 15.4600930314169 \tabularnewline
0.45 & 167.545268840594 & 15.2962500900411 \tabularnewline
0.46 & 171.049093139575 & 14.9430835387141 \tabularnewline
0.47 & 174.454133145914 & 14.4476176121197 \tabularnewline
0.48 & 177.732957721072 & 13.8557020679001 \tabularnewline
0.49 & 180.868479435746 & 13.2095361962725 \tabularnewline
0.5 & 183.853454930015 & 12.5465737596414 \tabularnewline
0.51 & 186.690217023294 & 11.9044293006904 \tabularnewline
0.52 & 189.390789486497 & 11.3244331754832 \tabularnewline
0.53 & 191.977050892232 & 10.8513441521044 \tabularnewline
0.54 & 194.480247768170 & 10.5300737602687 \tabularnewline
0.55 & 196.939104265315 & 10.3946777892498 \tabularnewline
0.56 & 199.396108923703 & 10.4572107795644 \tabularnewline
0.57 & 201.892189517826 & 10.6995362840341 \tabularnewline
0.58 & 204.460690696828 & 11.0693597505658 \tabularnewline
0.59 & 207.122073522656 & 11.4925139965789 \tabularnewline
0.6 & 209.880845469928 & 11.8873321931193 \tabularnewline
0.61 & 212.725828049353 & 12.1836906263174 \tabularnewline
0.62 & 215.634067274509 & 12.3392906268354 \tabularnewline
0.63 & 218.577710768391 & 12.3486422253331 \tabularnewline
0.64 & 221.532290219654 & 12.2452166582904 \tabularnewline
0.65 & 224.484309115104 & 12.0944705229648 \tabularnewline
0.66 & 227.436010000477 & 11.9777160927640 \tabularnewline
0.67 & 230.405737618320 & 11.9703141728431 \tabularnewline
0.68 & 233.423352935255 & 12.1150195773808 \tabularnewline
0.69 & 236.521483494110 & 12.4057340383952 \tabularnewline
0.7 & 239.724690456840 & 12.7823289550698 \tabularnewline
0.71 & 243.039500478471 & 13.1447091268942 \tabularnewline
0.72 & 246.448350799049 & 13.3808473282404 \tabularnewline
0.73 & 249.909678219764 & 13.3946126639442 \tabularnewline
0.74 & 253.364777721076 & 13.1337333655003 \tabularnewline
0.75 & 256.750064566374 & 12.6041255100611 \tabularnewline
0.76 & 260.011555388542 & 11.8715152286756 \tabularnewline
0.77 & 263.117313606498 & 11.0461873654186 \tabularnewline
0.78 & 266.063737665572 & 10.2549169095886 \tabularnewline
0.79 & 268.873111493891 & 9.60050467888017 \tabularnewline
0.8 & 271.582578364072 & 9.12748452391797 \tabularnewline
0.81 & 274.227889019953 & 8.80283641849303 \tabularnewline
0.82 & 276.827687854813 & 8.53112998488472 \tabularnewline
0.83 & 279.374486325072 & 8.19788796663152 \tabularnewline
0.84 & 281.83625471378 & 7.71991252270477 \tabularnewline
0.85 & 284.168351349887 & 7.07646600202828 \tabularnewline
0.86 & 286.330981173875 & 6.31397766649477 \tabularnewline
0.87 & 288.304563178266 & 5.52604402864253 \tabularnewline
0.88 & 290.095817908023 & 4.81025341576963 \tabularnewline
0.89 & 291.731435624403 & 4.22569553073911 \tabularnewline
0.9 & 293.24252294974 & 3.76441054622076 \tabularnewline
0.91 & 294.648406141542 & 3.36362062505610 \tabularnewline
0.92 & 295.949131303004 & 2.95519686134311 \tabularnewline
0.93 & 297.132556662494 & 2.51079374940401 \tabularnewline
0.94 & 298.203788807866 & 2.06319670892027 \tabularnewline
0.95 & 299.265073062675 & 1.76695648311155 \tabularnewline
0.96 & 300.687540930783 & 2.15814402870658 \tabularnewline
0.97 & 303.262281058526 & 4.01716670799568 \tabularnewline
0.98 & 307.715012497053 & 6.53794874228105 \tabularnewline
0.99 & 313.029945918789 & 5.67804671098001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77893&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]92.9495316255487[/C][C]2.67495192159180[/C][/ROW]
[ROW][C]0.02[/C][C]95.4781771865411[/C][C]2.50909863641878[/C][/ROW]
[ROW][C]0.03[/C][C]97.521977669604[/C][C]2.25476707690806[/C][/ROW]
[ROW][C]0.04[/C][C]99.1495158594028[/C][C]2.38586871687759[/C][/ROW]
[ROW][C]0.05[/C][C]100.697446251509[/C][C]3.07254357854149[/C][/ROW]
[ROW][C]0.06[/C][C]102.396521079058[/C][C]3.83049370954529[/C][/ROW]
[ROW][C]0.07[/C][C]104.260031954600[/C][C]4.25513531095850[/C][/ROW]
[ROW][C]0.08[/C][C]106.153754782694[/C][C]4.2426268923623[/C][/ROW]
[ROW][C]0.09[/C][C]107.921891720522[/C][C]3.90039019099951[/C][/ROW]
[ROW][C]0.1[/C][C]109.465002270769[/C][C]3.40046649950937[/C][/ROW]
[ROW][C]0.11[/C][C]110.755405233862[/C][C]2.89163988779056[/C][/ROW]
[ROW][C]0.12[/C][C]111.819867061627[/C][C]2.4798889626502[/C][/ROW]
[ROW][C]0.13[/C][C]112.715921975493[/C][C]2.23239300513498[/C][/ROW]
[ROW][C]0.14[/C][C]113.512418258921[/C][C]2.17741139243584[/C][/ROW]
[ROW][C]0.15[/C][C]114.275813866286[/C][C]2.30234024629622[/C][/ROW]
[ROW][C]0.16[/C][C]115.061532881803[/C][C]2.56720226730616[/C][/ROW]
[ROW][C]0.17[/C][C]115.909593841903[/C][C]2.9221058663077[/C][/ROW]
[ROW][C]0.18[/C][C]116.843566473227[/C][C]3.31798362145298[/C][/ROW]
[ROW][C]0.19[/C][C]117.871771586120[/C][C]3.71183733655873[/C][/ROW]
[ROW][C]0.2[/C][C]118.989758021996[/C][C]4.06801328861226[/C][/ROW]
[ROW][C]0.21[/C][C]120.183339275086[/C][C]4.35954902304163[/C][/ROW]
[ROW][C]0.22[/C][C]121.431702906828[/C][C]4.56874983882467[/C][/ROW]
[ROW][C]0.23[/C][C]122.710333285322[/C][C]4.68532441775965[/C][/ROW]
[ROW][C]0.24[/C][C]123.993739006267[/C][C]4.70747670847392[/C][/ROW]
[ROW][C]0.25[/C][C]125.258164112568[/C][C]4.64282201279161[/C][/ROW]
[ROW][C]0.26[/C][C]126.484461048999[/C][C]4.51093428069085[/C][/ROW]
[ROW][C]0.27[/C][C]127.661091584348[/C][C]4.34556490041867[/C][/ROW]
[ROW][C]0.28[/C][C]128.78692284459[/C][C]4.19307026700398[/C][/ROW]
[ROW][C]0.29[/C][C]129.873277278714[/C][C]4.1106026327238[/C][/ROW]
[ROW][C]0.3[/C][C]130.944690501394[/C][C]4.15878255142836[/C][/ROW]
[ROW][C]0.31[/C][C]132.038024232642[/C][C]4.39231540995183[/C][/ROW]
[ROW][C]0.32[/C][C]133.199882473698[/C][C]4.84844117060067[/C][/ROW]
[ROW][C]0.33[/C][C]134.482580654428[/C][C]5.53983911447854[/C][/ROW]
[ROW][C]0.34[/C][C]135.939146445731[/C][C]6.45358505832462[/C][/ROW]
[ROW][C]0.35[/C][C]137.617959362112[/C][C]7.5547377169233[/C][/ROW]
[ROW][C]0.36[/C][C]139.557668093530[/C][C]8.78997459304573[/C][/ROW]
[ROW][C]0.37[/C][C]141.782977391874[/C][C]10.0916109644957[/C][/ROW]
[ROW][C]0.38[/C][C]144.301790166964[/C][C]11.3844499994004[/C][/ROW]
[ROW][C]0.39[/C][C]147.104041536360[/C][C]12.5916497254444[/C][/ROW]
[ROW][C]0.4[/C][C]150.162379710720[/C][C]13.6435447877217[/C][/ROW]
[ROW][C]0.41[/C][C]153.434637838136[/C][C]14.4823275670958[/C][/ROW]
[ROW][C]0.42[/C][C]156.867807649115[/C][C]15.0710820611557[/C][/ROW]
[ROW][C]0.43[/C][C]160.402992893041[/C][C]15.3943001004669[/C][/ROW]
[ROW][C]0.44[/C][C]163.980638325263[/C][C]15.4600930314169[/C][/ROW]
[ROW][C]0.45[/C][C]167.545268840594[/C][C]15.2962500900411[/C][/ROW]
[ROW][C]0.46[/C][C]171.049093139575[/C][C]14.9430835387141[/C][/ROW]
[ROW][C]0.47[/C][C]174.454133145914[/C][C]14.4476176121197[/C][/ROW]
[ROW][C]0.48[/C][C]177.732957721072[/C][C]13.8557020679001[/C][/ROW]
[ROW][C]0.49[/C][C]180.868479435746[/C][C]13.2095361962725[/C][/ROW]
[ROW][C]0.5[/C][C]183.853454930015[/C][C]12.5465737596414[/C][/ROW]
[ROW][C]0.51[/C][C]186.690217023294[/C][C]11.9044293006904[/C][/ROW]
[ROW][C]0.52[/C][C]189.390789486497[/C][C]11.3244331754832[/C][/ROW]
[ROW][C]0.53[/C][C]191.977050892232[/C][C]10.8513441521044[/C][/ROW]
[ROW][C]0.54[/C][C]194.480247768170[/C][C]10.5300737602687[/C][/ROW]
[ROW][C]0.55[/C][C]196.939104265315[/C][C]10.3946777892498[/C][/ROW]
[ROW][C]0.56[/C][C]199.396108923703[/C][C]10.4572107795644[/C][/ROW]
[ROW][C]0.57[/C][C]201.892189517826[/C][C]10.6995362840341[/C][/ROW]
[ROW][C]0.58[/C][C]204.460690696828[/C][C]11.0693597505658[/C][/ROW]
[ROW][C]0.59[/C][C]207.122073522656[/C][C]11.4925139965789[/C][/ROW]
[ROW][C]0.6[/C][C]209.880845469928[/C][C]11.8873321931193[/C][/ROW]
[ROW][C]0.61[/C][C]212.725828049353[/C][C]12.1836906263174[/C][/ROW]
[ROW][C]0.62[/C][C]215.634067274509[/C][C]12.3392906268354[/C][/ROW]
[ROW][C]0.63[/C][C]218.577710768391[/C][C]12.3486422253331[/C][/ROW]
[ROW][C]0.64[/C][C]221.532290219654[/C][C]12.2452166582904[/C][/ROW]
[ROW][C]0.65[/C][C]224.484309115104[/C][C]12.0944705229648[/C][/ROW]
[ROW][C]0.66[/C][C]227.436010000477[/C][C]11.9777160927640[/C][/ROW]
[ROW][C]0.67[/C][C]230.405737618320[/C][C]11.9703141728431[/C][/ROW]
[ROW][C]0.68[/C][C]233.423352935255[/C][C]12.1150195773808[/C][/ROW]
[ROW][C]0.69[/C][C]236.521483494110[/C][C]12.4057340383952[/C][/ROW]
[ROW][C]0.7[/C][C]239.724690456840[/C][C]12.7823289550698[/C][/ROW]
[ROW][C]0.71[/C][C]243.039500478471[/C][C]13.1447091268942[/C][/ROW]
[ROW][C]0.72[/C][C]246.448350799049[/C][C]13.3808473282404[/C][/ROW]
[ROW][C]0.73[/C][C]249.909678219764[/C][C]13.3946126639442[/C][/ROW]
[ROW][C]0.74[/C][C]253.364777721076[/C][C]13.1337333655003[/C][/ROW]
[ROW][C]0.75[/C][C]256.750064566374[/C][C]12.6041255100611[/C][/ROW]
[ROW][C]0.76[/C][C]260.011555388542[/C][C]11.8715152286756[/C][/ROW]
[ROW][C]0.77[/C][C]263.117313606498[/C][C]11.0461873654186[/C][/ROW]
[ROW][C]0.78[/C][C]266.063737665572[/C][C]10.2549169095886[/C][/ROW]
[ROW][C]0.79[/C][C]268.873111493891[/C][C]9.60050467888017[/C][/ROW]
[ROW][C]0.8[/C][C]271.582578364072[/C][C]9.12748452391797[/C][/ROW]
[ROW][C]0.81[/C][C]274.227889019953[/C][C]8.80283641849303[/C][/ROW]
[ROW][C]0.82[/C][C]276.827687854813[/C][C]8.53112998488472[/C][/ROW]
[ROW][C]0.83[/C][C]279.374486325072[/C][C]8.19788796663152[/C][/ROW]
[ROW][C]0.84[/C][C]281.83625471378[/C][C]7.71991252270477[/C][/ROW]
[ROW][C]0.85[/C][C]284.168351349887[/C][C]7.07646600202828[/C][/ROW]
[ROW][C]0.86[/C][C]286.330981173875[/C][C]6.31397766649477[/C][/ROW]
[ROW][C]0.87[/C][C]288.304563178266[/C][C]5.52604402864253[/C][/ROW]
[ROW][C]0.88[/C][C]290.095817908023[/C][C]4.81025341576963[/C][/ROW]
[ROW][C]0.89[/C][C]291.731435624403[/C][C]4.22569553073911[/C][/ROW]
[ROW][C]0.9[/C][C]293.24252294974[/C][C]3.76441054622076[/C][/ROW]
[ROW][C]0.91[/C][C]294.648406141542[/C][C]3.36362062505610[/C][/ROW]
[ROW][C]0.92[/C][C]295.949131303004[/C][C]2.95519686134311[/C][/ROW]
[ROW][C]0.93[/C][C]297.132556662494[/C][C]2.51079374940401[/C][/ROW]
[ROW][C]0.94[/C][C]298.203788807866[/C][C]2.06319670892027[/C][/ROW]
[ROW][C]0.95[/C][C]299.265073062675[/C][C]1.76695648311155[/C][/ROW]
[ROW][C]0.96[/C][C]300.687540930783[/C][C]2.15814402870658[/C][/ROW]
[ROW][C]0.97[/C][C]303.262281058526[/C][C]4.01716670799568[/C][/ROW]
[ROW][C]0.98[/C][C]307.715012497053[/C][C]6.53794874228105[/C][/ROW]
[ROW][C]0.99[/C][C]313.029945918789[/C][C]5.67804671098001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77893&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77893&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
0.0192.94953162554872.67495192159180
0.0295.47817718654112.50909863641878
0.0397.5219776696042.25476707690806
0.0499.14951585940282.38586871687759
0.05100.6974462515093.07254357854149
0.06102.3965210790583.83049370954529
0.07104.2600319546004.25513531095850
0.08106.1537547826944.2426268923623
0.09107.9218917205223.90039019099951
0.1109.4650022707693.40046649950937
0.11110.7554052338622.89163988779056
0.12111.8198670616272.4798889626502
0.13112.7159219754932.23239300513498
0.14113.5124182589212.17741139243584
0.15114.2758138662862.30234024629622
0.16115.0615328818032.56720226730616
0.17115.9095938419032.9221058663077
0.18116.8435664732273.31798362145298
0.19117.8717715861203.71183733655873
0.2118.9897580219964.06801328861226
0.21120.1833392750864.35954902304163
0.22121.4317029068284.56874983882467
0.23122.7103332853224.68532441775965
0.24123.9937390062674.70747670847392
0.25125.2581641125684.64282201279161
0.26126.4844610489994.51093428069085
0.27127.6610915843484.34556490041867
0.28128.786922844594.19307026700398
0.29129.8732772787144.1106026327238
0.3130.9446905013944.15878255142836
0.31132.0380242326424.39231540995183
0.32133.1998824736984.84844117060067
0.33134.4825806544285.53983911447854
0.34135.9391464457316.45358505832462
0.35137.6179593621127.5547377169233
0.36139.5576680935308.78997459304573
0.37141.78297739187410.0916109644957
0.38144.30179016696411.3844499994004
0.39147.10404153636012.5916497254444
0.4150.16237971072013.6435447877217
0.41153.43463783813614.4823275670958
0.42156.86780764911515.0710820611557
0.43160.40299289304115.3943001004669
0.44163.98063832526315.4600930314169
0.45167.54526884059415.2962500900411
0.46171.04909313957514.9430835387141
0.47174.45413314591414.4476176121197
0.48177.73295772107213.8557020679001
0.49180.86847943574613.2095361962725
0.5183.85345493001512.5465737596414
0.51186.69021702329411.9044293006904
0.52189.39078948649711.3244331754832
0.53191.97705089223210.8513441521044
0.54194.48024776817010.5300737602687
0.55196.93910426531510.3946777892498
0.56199.39610892370310.4572107795644
0.57201.89218951782610.6995362840341
0.58204.46069069682811.0693597505658
0.59207.12207352265611.4925139965789
0.6209.88084546992811.8873321931193
0.61212.72582804935312.1836906263174
0.62215.63406727450912.3392906268354
0.63218.57771076839112.3486422253331
0.64221.53229021965412.2452166582904
0.65224.48430911510412.0944705229648
0.66227.43601000047711.9777160927640
0.67230.40573761832011.9703141728431
0.68233.42335293525512.1150195773808
0.69236.52148349411012.4057340383952
0.7239.72469045684012.7823289550698
0.71243.03950047847113.1447091268942
0.72246.44835079904913.3808473282404
0.73249.90967821976413.3946126639442
0.74253.36477772107613.1337333655003
0.75256.75006456637412.6041255100611
0.76260.01155538854211.8715152286756
0.77263.11731360649811.0461873654186
0.78266.06373766557210.2549169095886
0.79268.8731114938919.60050467888017
0.8271.5825783640729.12748452391797
0.81274.2278890199538.80283641849303
0.82276.8276878548138.53112998488472
0.83279.3744863250728.19788796663152
0.84281.836254713787.71991252270477
0.85284.1683513498877.07646600202828
0.86286.3309811738756.31397766649477
0.87288.3045631782665.52604402864253
0.88290.0958179080234.81025341576963
0.89291.7314356244034.22569553073911
0.9293.242522949743.76441054622076
0.91294.6484061415423.36362062505610
0.92295.9491313030042.95519686134311
0.93297.1325566624942.51079374940401
0.94298.2037888078662.06319670892027
0.95299.2650730626751.76695648311155
0.96300.6875409307832.15814402870658
0.97303.2622810585264.01716670799568
0.98307.7150124970536.53794874228105
0.99313.0299459187895.67804671098001


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')