FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 05 Aug 2010 10:53:06 +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/05/t12810058510kqlo3z9gmpijdl.htm/, Retrieved Sun, 05 May 2024 15:12:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78369, Retrieved Sun, 05 May 2024 15:12:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQuaglia Laura
Estimated Impact161

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 A - Sta...] [2010-08-05 10:53:06] [f9e29edf9cfe01f572cce0cb5a360ea2] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
239
238
237
235
255
254
239
229
230
230
231
233
239
236
231
235
253
257
236
226
226
221
217
219
225
226
225
229
242
252
233
232
225
218
209
211
220
225
215
222
238
246
226
230
222
214
208
203
208
212
199
200
223
225
203
207
195
198
193
189
184
188
180
186
215
212
191
190
180
190
189
181
174
179
165
185
211
209
183
178
170
182
195
188
175
176
162
193
211
207
179
176
167
175
190
173
159
159
147
181
196
199
171
170
156
164
178
155
138
142
113
148
156
158
141
139
119
120
125
102

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78369&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78369&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78369&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01108.4430744729148.42596659167568
0.02116.2346496968747.3395828796728
0.03122.7364666942928.4638861923352
0.04128.6076810683589.35217841125349
0.05134.0247495278249.00909204159454
0.06138.768394721398.14766917882502
0.07142.8110929812767.54418165718985
0.08146.315250393597.23866260731758
0.09149.4340859836236.9367974851127
0.1152.2352290753766.50583432245021
0.11154.7435015097786.03232835686325
0.12156.9959885417225.67107041052919
0.13159.0554813397335.50386097283226
0.14160.9909388590575.49608474235353
0.15162.8530130035535.54749253637604
0.16164.6624468684145.56016196219222
0.17166.4134845050485.47636047153536
0.18168.0856380488935.28301643545139
0.19169.6561877630844.99987629047524
0.2171.1088494216024.66340891640862
0.21172.4375111206344.31278981164572
0.22173.6460947248183.98124178826804
0.23174.7462937254703.69227577728408
0.24175.7547179463023.46007980388627
0.25176.6903967853883.29069783706947
0.26177.5730012276833.18659207684067
0.27178.4216996305043.14779946520858
0.28179.2543293173263.17048033077618
0.29180.0865616527353.24727965883423
0.3180.9309214392753.36474806891294
0.31181.7957871992283.50405148298052
0.32182.6847093007273.64301403556320
0.33183.5964269544313.76158264989563
0.34184.5258107739433.84580717989106
0.35185.4656653069263.89216815982586
0.36186.4090184134493.90732913710268
0.37187.351330256573.90808095256321
0.38188.2920533475353.91624884430691
0.39189.2351655173223.95412902107704
0.4190.1886025664174.03714084683275
0.41191.1628189789444.17182061589884
0.42192.1688966561984.35512055065162
0.43193.2166511662354.5756178983348
0.44194.3130727259254.81686589941185
0.45195.4612610322995.0599010079067
0.46196.659859897365.28484379943367
0.47197.9029299895285.47233173636654
0.48199.1802196232765.60459429289132
0.49200.4778556089795.6671288094887
0.5201.7795086154435.65069380639626
0.51203.0680402945435.55436966781977
0.52204.3275115924475.38746246778314
0.53205.5452730236835.16851235526338
0.54206.7137433039704.92393290559738
0.55207.8314748766654.68433012456912
0.56208.9032226542534.47801273961359
0.57209.9389440298314.32770097192350
0.58210.9518975747844.24381846505529
0.59211.9562029208094.22451784639314
0.6212.9643240792264.2557253515086
0.61213.9849260780564.31433167534641
0.62215.0214466919074.37451659963306
0.63216.071560446664.41020214414014
0.64217.1275394039224.40020696862905
0.65218.1773780761344.33000757777484
0.66219.2064739537194.19315559127776
0.67220.1996390063833.99275952220086
0.68221.1432321009113.73868276370085
0.69222.0272052180853.4494445590087
0.7222.8468191098933.14906376334703
0.71223.6037194560132.86493904744991
0.72224.3060354590642.62427381949070
0.73224.9672563977082.44866621141774
0.74225.6039127578582.34767777380585
0.75226.2324982006762.31474735911581
0.76226.8664603758882.32876199768834
0.77227.5142373970932.36161076250551
0.78228.1790486590972.38995703661653
0.79228.8604768935732.40171511547983
0.8229.5570650106162.39914849402463
0.81230.2686193247992.39359897827450
0.82230.9970155181852.39629533254773
0.83231.7450826096592.4096973186194
0.84232.5142171513092.42331791865652
0.85233.3021423212872.41963994303113
0.86234.1022341034002.38229358453587
0.87234.9052331196332.30525762158025
0.88235.7037352380872.19729541847412
0.89236.5004156394062.08689446719881
0.9237.3219748251962.03542033438623
0.91238.239184686532.1590246251224
0.92239.3843519611052.61638732479588
0.93240.9406117776573.48229784250125
0.94243.0679370287994.57036683469808
0.95245.7630550282055.36976646526365
0.96248.7446605793555.26325359806108
0.97251.5399709809524.07922245993448
0.98253.8400486680382.51055409354938
0.99255.7335965296511.74944135524492

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 108.443074472914 & 8.42596659167568 \tabularnewline
0.02 & 116.234649696874 & 7.3395828796728 \tabularnewline
0.03 & 122.736466694292 & 8.4638861923352 \tabularnewline
0.04 & 128.607681068358 & 9.35217841125349 \tabularnewline
0.05 & 134.024749527824 & 9.00909204159454 \tabularnewline
0.06 & 138.76839472139 & 8.14766917882502 \tabularnewline
0.07 & 142.811092981276 & 7.54418165718985 \tabularnewline
0.08 & 146.31525039359 & 7.23866260731758 \tabularnewline
0.09 & 149.434085983623 & 6.9367974851127 \tabularnewline
0.1 & 152.235229075376 & 6.50583432245021 \tabularnewline
0.11 & 154.743501509778 & 6.03232835686325 \tabularnewline
0.12 & 156.995988541722 & 5.67107041052919 \tabularnewline
0.13 & 159.055481339733 & 5.50386097283226 \tabularnewline
0.14 & 160.990938859057 & 5.49608474235353 \tabularnewline
0.15 & 162.853013003553 & 5.54749253637604 \tabularnewline
0.16 & 164.662446868414 & 5.56016196219222 \tabularnewline
0.17 & 166.413484505048 & 5.47636047153536 \tabularnewline
0.18 & 168.085638048893 & 5.28301643545139 \tabularnewline
0.19 & 169.656187763084 & 4.99987629047524 \tabularnewline
0.2 & 171.108849421602 & 4.66340891640862 \tabularnewline
0.21 & 172.437511120634 & 4.31278981164572 \tabularnewline
0.22 & 173.646094724818 & 3.98124178826804 \tabularnewline
0.23 & 174.746293725470 & 3.69227577728408 \tabularnewline
0.24 & 175.754717946302 & 3.46007980388627 \tabularnewline
0.25 & 176.690396785388 & 3.29069783706947 \tabularnewline
0.26 & 177.573001227683 & 3.18659207684067 \tabularnewline
0.27 & 178.421699630504 & 3.14779946520858 \tabularnewline
0.28 & 179.254329317326 & 3.17048033077618 \tabularnewline
0.29 & 180.086561652735 & 3.24727965883423 \tabularnewline
0.3 & 180.930921439275 & 3.36474806891294 \tabularnewline
0.31 & 181.795787199228 & 3.50405148298052 \tabularnewline
0.32 & 182.684709300727 & 3.64301403556320 \tabularnewline
0.33 & 183.596426954431 & 3.76158264989563 \tabularnewline
0.34 & 184.525810773943 & 3.84580717989106 \tabularnewline
0.35 & 185.465665306926 & 3.89216815982586 \tabularnewline
0.36 & 186.409018413449 & 3.90732913710268 \tabularnewline
0.37 & 187.35133025657 & 3.90808095256321 \tabularnewline
0.38 & 188.292053347535 & 3.91624884430691 \tabularnewline
0.39 & 189.235165517322 & 3.95412902107704 \tabularnewline
0.4 & 190.188602566417 & 4.03714084683275 \tabularnewline
0.41 & 191.162818978944 & 4.17182061589884 \tabularnewline
0.42 & 192.168896656198 & 4.35512055065162 \tabularnewline
0.43 & 193.216651166235 & 4.5756178983348 \tabularnewline
0.44 & 194.313072725925 & 4.81686589941185 \tabularnewline
0.45 & 195.461261032299 & 5.0599010079067 \tabularnewline
0.46 & 196.65985989736 & 5.28484379943367 \tabularnewline
0.47 & 197.902929989528 & 5.47233173636654 \tabularnewline
0.48 & 199.180219623276 & 5.60459429289132 \tabularnewline
0.49 & 200.477855608979 & 5.6671288094887 \tabularnewline
0.5 & 201.779508615443 & 5.65069380639626 \tabularnewline
0.51 & 203.068040294543 & 5.55436966781977 \tabularnewline
0.52 & 204.327511592447 & 5.38746246778314 \tabularnewline
0.53 & 205.545273023683 & 5.16851235526338 \tabularnewline
0.54 & 206.713743303970 & 4.92393290559738 \tabularnewline
0.55 & 207.831474876665 & 4.68433012456912 \tabularnewline
0.56 & 208.903222654253 & 4.47801273961359 \tabularnewline
0.57 & 209.938944029831 & 4.32770097192350 \tabularnewline
0.58 & 210.951897574784 & 4.24381846505529 \tabularnewline
0.59 & 211.956202920809 & 4.22451784639314 \tabularnewline
0.6 & 212.964324079226 & 4.2557253515086 \tabularnewline
0.61 & 213.984926078056 & 4.31433167534641 \tabularnewline
0.62 & 215.021446691907 & 4.37451659963306 \tabularnewline
0.63 & 216.07156044666 & 4.41020214414014 \tabularnewline
0.64 & 217.127539403922 & 4.40020696862905 \tabularnewline
0.65 & 218.177378076134 & 4.33000757777484 \tabularnewline
0.66 & 219.206473953719 & 4.19315559127776 \tabularnewline
0.67 & 220.199639006383 & 3.99275952220086 \tabularnewline
0.68 & 221.143232100911 & 3.73868276370085 \tabularnewline
0.69 & 222.027205218085 & 3.4494445590087 \tabularnewline
0.7 & 222.846819109893 & 3.14906376334703 \tabularnewline
0.71 & 223.603719456013 & 2.86493904744991 \tabularnewline
0.72 & 224.306035459064 & 2.62427381949070 \tabularnewline
0.73 & 224.967256397708 & 2.44866621141774 \tabularnewline
0.74 & 225.603912757858 & 2.34767777380585 \tabularnewline
0.75 & 226.232498200676 & 2.31474735911581 \tabularnewline
0.76 & 226.866460375888 & 2.32876199768834 \tabularnewline
0.77 & 227.514237397093 & 2.36161076250551 \tabularnewline
0.78 & 228.179048659097 & 2.38995703661653 \tabularnewline
0.79 & 228.860476893573 & 2.40171511547983 \tabularnewline
0.8 & 229.557065010616 & 2.39914849402463 \tabularnewline
0.81 & 230.268619324799 & 2.39359897827450 \tabularnewline
0.82 & 230.997015518185 & 2.39629533254773 \tabularnewline
0.83 & 231.745082609659 & 2.4096973186194 \tabularnewline
0.84 & 232.514217151309 & 2.42331791865652 \tabularnewline
0.85 & 233.302142321287 & 2.41963994303113 \tabularnewline
0.86 & 234.102234103400 & 2.38229358453587 \tabularnewline
0.87 & 234.905233119633 & 2.30525762158025 \tabularnewline
0.88 & 235.703735238087 & 2.19729541847412 \tabularnewline
0.89 & 236.500415639406 & 2.08689446719881 \tabularnewline
0.9 & 237.321974825196 & 2.03542033438623 \tabularnewline
0.91 & 238.23918468653 & 2.1590246251224 \tabularnewline
0.92 & 239.384351961105 & 2.61638732479588 \tabularnewline
0.93 & 240.940611777657 & 3.48229784250125 \tabularnewline
0.94 & 243.067937028799 & 4.57036683469808 \tabularnewline
0.95 & 245.763055028205 & 5.36976646526365 \tabularnewline
0.96 & 248.744660579355 & 5.26325359806108 \tabularnewline
0.97 & 251.539970980952 & 4.07922245993448 \tabularnewline
0.98 & 253.840048668038 & 2.51055409354938 \tabularnewline
0.99 & 255.733596529651 & 1.74944135524492 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78369&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]108.443074472914[/C][C]8.42596659167568[/C][/ROW]
[ROW][C]0.02[/C][C]116.234649696874[/C][C]7.3395828796728[/C][/ROW]
[ROW][C]0.03[/C][C]122.736466694292[/C][C]8.4638861923352[/C][/ROW]
[ROW][C]0.04[/C][C]128.607681068358[/C][C]9.35217841125349[/C][/ROW]
[ROW][C]0.05[/C][C]134.024749527824[/C][C]9.00909204159454[/C][/ROW]
[ROW][C]0.06[/C][C]138.76839472139[/C][C]8.14766917882502[/C][/ROW]
[ROW][C]0.07[/C][C]142.811092981276[/C][C]7.54418165718985[/C][/ROW]
[ROW][C]0.08[/C][C]146.31525039359[/C][C]7.23866260731758[/C][/ROW]
[ROW][C]0.09[/C][C]149.434085983623[/C][C]6.9367974851127[/C][/ROW]
[ROW][C]0.1[/C][C]152.235229075376[/C][C]6.50583432245021[/C][/ROW]
[ROW][C]0.11[/C][C]154.743501509778[/C][C]6.03232835686325[/C][/ROW]
[ROW][C]0.12[/C][C]156.995988541722[/C][C]5.67107041052919[/C][/ROW]
[ROW][C]0.13[/C][C]159.055481339733[/C][C]5.50386097283226[/C][/ROW]
[ROW][C]0.14[/C][C]160.990938859057[/C][C]5.49608474235353[/C][/ROW]
[ROW][C]0.15[/C][C]162.853013003553[/C][C]5.54749253637604[/C][/ROW]
[ROW][C]0.16[/C][C]164.662446868414[/C][C]5.56016196219222[/C][/ROW]
[ROW][C]0.17[/C][C]166.413484505048[/C][C]5.47636047153536[/C][/ROW]
[ROW][C]0.18[/C][C]168.085638048893[/C][C]5.28301643545139[/C][/ROW]
[ROW][C]0.19[/C][C]169.656187763084[/C][C]4.99987629047524[/C][/ROW]
[ROW][C]0.2[/C][C]171.108849421602[/C][C]4.66340891640862[/C][/ROW]
[ROW][C]0.21[/C][C]172.437511120634[/C][C]4.31278981164572[/C][/ROW]
[ROW][C]0.22[/C][C]173.646094724818[/C][C]3.98124178826804[/C][/ROW]
[ROW][C]0.23[/C][C]174.746293725470[/C][C]3.69227577728408[/C][/ROW]
[ROW][C]0.24[/C][C]175.754717946302[/C][C]3.46007980388627[/C][/ROW]
[ROW][C]0.25[/C][C]176.690396785388[/C][C]3.29069783706947[/C][/ROW]
[ROW][C]0.26[/C][C]177.573001227683[/C][C]3.18659207684067[/C][/ROW]
[ROW][C]0.27[/C][C]178.421699630504[/C][C]3.14779946520858[/C][/ROW]
[ROW][C]0.28[/C][C]179.254329317326[/C][C]3.17048033077618[/C][/ROW]
[ROW][C]0.29[/C][C]180.086561652735[/C][C]3.24727965883423[/C][/ROW]
[ROW][C]0.3[/C][C]180.930921439275[/C][C]3.36474806891294[/C][/ROW]
[ROW][C]0.31[/C][C]181.795787199228[/C][C]3.50405148298052[/C][/ROW]
[ROW][C]0.32[/C][C]182.684709300727[/C][C]3.64301403556320[/C][/ROW]
[ROW][C]0.33[/C][C]183.596426954431[/C][C]3.76158264989563[/C][/ROW]
[ROW][C]0.34[/C][C]184.525810773943[/C][C]3.84580717989106[/C][/ROW]
[ROW][C]0.35[/C][C]185.465665306926[/C][C]3.89216815982586[/C][/ROW]
[ROW][C]0.36[/C][C]186.409018413449[/C][C]3.90732913710268[/C][/ROW]
[ROW][C]0.37[/C][C]187.35133025657[/C][C]3.90808095256321[/C][/ROW]
[ROW][C]0.38[/C][C]188.292053347535[/C][C]3.91624884430691[/C][/ROW]
[ROW][C]0.39[/C][C]189.235165517322[/C][C]3.95412902107704[/C][/ROW]
[ROW][C]0.4[/C][C]190.188602566417[/C][C]4.03714084683275[/C][/ROW]
[ROW][C]0.41[/C][C]191.162818978944[/C][C]4.17182061589884[/C][/ROW]
[ROW][C]0.42[/C][C]192.168896656198[/C][C]4.35512055065162[/C][/ROW]
[ROW][C]0.43[/C][C]193.216651166235[/C][C]4.5756178983348[/C][/ROW]
[ROW][C]0.44[/C][C]194.313072725925[/C][C]4.81686589941185[/C][/ROW]
[ROW][C]0.45[/C][C]195.461261032299[/C][C]5.0599010079067[/C][/ROW]
[ROW][C]0.46[/C][C]196.65985989736[/C][C]5.28484379943367[/C][/ROW]
[ROW][C]0.47[/C][C]197.902929989528[/C][C]5.47233173636654[/C][/ROW]
[ROW][C]0.48[/C][C]199.180219623276[/C][C]5.60459429289132[/C][/ROW]
[ROW][C]0.49[/C][C]200.477855608979[/C][C]5.6671288094887[/C][/ROW]
[ROW][C]0.5[/C][C]201.779508615443[/C][C]5.65069380639626[/C][/ROW]
[ROW][C]0.51[/C][C]203.068040294543[/C][C]5.55436966781977[/C][/ROW]
[ROW][C]0.52[/C][C]204.327511592447[/C][C]5.38746246778314[/C][/ROW]
[ROW][C]0.53[/C][C]205.545273023683[/C][C]5.16851235526338[/C][/ROW]
[ROW][C]0.54[/C][C]206.713743303970[/C][C]4.92393290559738[/C][/ROW]
[ROW][C]0.55[/C][C]207.831474876665[/C][C]4.68433012456912[/C][/ROW]
[ROW][C]0.56[/C][C]208.903222654253[/C][C]4.47801273961359[/C][/ROW]
[ROW][C]0.57[/C][C]209.938944029831[/C][C]4.32770097192350[/C][/ROW]
[ROW][C]0.58[/C][C]210.951897574784[/C][C]4.24381846505529[/C][/ROW]
[ROW][C]0.59[/C][C]211.956202920809[/C][C]4.22451784639314[/C][/ROW]
[ROW][C]0.6[/C][C]212.964324079226[/C][C]4.2557253515086[/C][/ROW]
[ROW][C]0.61[/C][C]213.984926078056[/C][C]4.31433167534641[/C][/ROW]
[ROW][C]0.62[/C][C]215.021446691907[/C][C]4.37451659963306[/C][/ROW]
[ROW][C]0.63[/C][C]216.07156044666[/C][C]4.41020214414014[/C][/ROW]
[ROW][C]0.64[/C][C]217.127539403922[/C][C]4.40020696862905[/C][/ROW]
[ROW][C]0.65[/C][C]218.177378076134[/C][C]4.33000757777484[/C][/ROW]
[ROW][C]0.66[/C][C]219.206473953719[/C][C]4.19315559127776[/C][/ROW]
[ROW][C]0.67[/C][C]220.199639006383[/C][C]3.99275952220086[/C][/ROW]
[ROW][C]0.68[/C][C]221.143232100911[/C][C]3.73868276370085[/C][/ROW]
[ROW][C]0.69[/C][C]222.027205218085[/C][C]3.4494445590087[/C][/ROW]
[ROW][C]0.7[/C][C]222.846819109893[/C][C]3.14906376334703[/C][/ROW]
[ROW][C]0.71[/C][C]223.603719456013[/C][C]2.86493904744991[/C][/ROW]
[ROW][C]0.72[/C][C]224.306035459064[/C][C]2.62427381949070[/C][/ROW]
[ROW][C]0.73[/C][C]224.967256397708[/C][C]2.44866621141774[/C][/ROW]
[ROW][C]0.74[/C][C]225.603912757858[/C][C]2.34767777380585[/C][/ROW]
[ROW][C]0.75[/C][C]226.232498200676[/C][C]2.31474735911581[/C][/ROW]
[ROW][C]0.76[/C][C]226.866460375888[/C][C]2.32876199768834[/C][/ROW]
[ROW][C]0.77[/C][C]227.514237397093[/C][C]2.36161076250551[/C][/ROW]
[ROW][C]0.78[/C][C]228.179048659097[/C][C]2.38995703661653[/C][/ROW]
[ROW][C]0.79[/C][C]228.860476893573[/C][C]2.40171511547983[/C][/ROW]
[ROW][C]0.8[/C][C]229.557065010616[/C][C]2.39914849402463[/C][/ROW]
[ROW][C]0.81[/C][C]230.268619324799[/C][C]2.39359897827450[/C][/ROW]
[ROW][C]0.82[/C][C]230.997015518185[/C][C]2.39629533254773[/C][/ROW]
[ROW][C]0.83[/C][C]231.745082609659[/C][C]2.4096973186194[/C][/ROW]
[ROW][C]0.84[/C][C]232.514217151309[/C][C]2.42331791865652[/C][/ROW]
[ROW][C]0.85[/C][C]233.302142321287[/C][C]2.41963994303113[/C][/ROW]
[ROW][C]0.86[/C][C]234.102234103400[/C][C]2.38229358453587[/C][/ROW]
[ROW][C]0.87[/C][C]234.905233119633[/C][C]2.30525762158025[/C][/ROW]
[ROW][C]0.88[/C][C]235.703735238087[/C][C]2.19729541847412[/C][/ROW]
[ROW][C]0.89[/C][C]236.500415639406[/C][C]2.08689446719881[/C][/ROW]
[ROW][C]0.9[/C][C]237.321974825196[/C][C]2.03542033438623[/C][/ROW]
[ROW][C]0.91[/C][C]238.23918468653[/C][C]2.1590246251224[/C][/ROW]
[ROW][C]0.92[/C][C]239.384351961105[/C][C]2.61638732479588[/C][/ROW]
[ROW][C]0.93[/C][C]240.940611777657[/C][C]3.48229784250125[/C][/ROW]
[ROW][C]0.94[/C][C]243.067937028799[/C][C]4.57036683469808[/C][/ROW]
[ROW][C]0.95[/C][C]245.763055028205[/C][C]5.36976646526365[/C][/ROW]
[ROW][C]0.96[/C][C]248.744660579355[/C][C]5.26325359806108[/C][/ROW]
[ROW][C]0.97[/C][C]251.539970980952[/C][C]4.07922245993448[/C][/ROW]
[ROW][C]0.98[/C][C]253.840048668038[/C][C]2.51055409354938[/C][/ROW]
[ROW][C]0.99[/C][C]255.733596529651[/C][C]1.74944135524492[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78369&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78369&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
0.01108.4430744729148.42596659167568
0.02116.2346496968747.3395828796728
0.03122.7364666942928.4638861923352
0.04128.6076810683589.35217841125349
0.05134.0247495278249.00909204159454
0.06138.768394721398.14766917882502
0.07142.8110929812767.54418165718985
0.08146.315250393597.23866260731758
0.09149.4340859836236.9367974851127
0.1152.2352290753766.50583432245021
0.11154.7435015097786.03232835686325
0.12156.9959885417225.67107041052919
0.13159.0554813397335.50386097283226
0.14160.9909388590575.49608474235353
0.15162.8530130035535.54749253637604
0.16164.6624468684145.56016196219222
0.17166.4134845050485.47636047153536
0.18168.0856380488935.28301643545139
0.19169.6561877630844.99987629047524
0.2171.1088494216024.66340891640862
0.21172.4375111206344.31278981164572
0.22173.6460947248183.98124178826804
0.23174.7462937254703.69227577728408
0.24175.7547179463023.46007980388627
0.25176.6903967853883.29069783706947
0.26177.5730012276833.18659207684067
0.27178.4216996305043.14779946520858
0.28179.2543293173263.17048033077618
0.29180.0865616527353.24727965883423
0.3180.9309214392753.36474806891294
0.31181.7957871992283.50405148298052
0.32182.6847093007273.64301403556320
0.33183.5964269544313.76158264989563
0.34184.5258107739433.84580717989106
0.35185.4656653069263.89216815982586
0.36186.4090184134493.90732913710268
0.37187.351330256573.90808095256321
0.38188.2920533475353.91624884430691
0.39189.2351655173223.95412902107704
0.4190.1886025664174.03714084683275
0.41191.1628189789444.17182061589884
0.42192.1688966561984.35512055065162
0.43193.2166511662354.5756178983348
0.44194.3130727259254.81686589941185
0.45195.4612610322995.0599010079067
0.46196.659859897365.28484379943367
0.47197.9029299895285.47233173636654
0.48199.1802196232765.60459429289132
0.49200.4778556089795.6671288094887
0.5201.7795086154435.65069380639626
0.51203.0680402945435.55436966781977
0.52204.3275115924475.38746246778314
0.53205.5452730236835.16851235526338
0.54206.7137433039704.92393290559738
0.55207.8314748766654.68433012456912
0.56208.9032226542534.47801273961359
0.57209.9389440298314.32770097192350
0.58210.9518975747844.24381846505529
0.59211.9562029208094.22451784639314
0.6212.9643240792264.2557253515086
0.61213.9849260780564.31433167534641
0.62215.0214466919074.37451659963306
0.63216.071560446664.41020214414014
0.64217.1275394039224.40020696862905
0.65218.1773780761344.33000757777484
0.66219.2064739537194.19315559127776
0.67220.1996390063833.99275952220086
0.68221.1432321009113.73868276370085
0.69222.0272052180853.4494445590087
0.7222.8468191098933.14906376334703
0.71223.6037194560132.86493904744991
0.72224.3060354590642.62427381949070
0.73224.9672563977082.44866621141774
0.74225.6039127578582.34767777380585
0.75226.2324982006762.31474735911581
0.76226.8664603758882.32876199768834
0.77227.5142373970932.36161076250551
0.78228.1790486590972.38995703661653
0.79228.8604768935732.40171511547983
0.8229.5570650106162.39914849402463
0.81230.2686193247992.39359897827450
0.82230.9970155181852.39629533254773
0.83231.7450826096592.4096973186194
0.84232.5142171513092.42331791865652
0.85233.3021423212872.41963994303113
0.86234.1022341034002.38229358453587
0.87234.9052331196332.30525762158025
0.88235.7037352380872.19729541847412
0.89236.5004156394062.08689446719881
0.9237.3219748251962.03542033438623
0.91238.239184686532.1590246251224
0.92239.3843519611052.61638732479588
0.93240.9406117776573.48229784250125
0.94243.0679370287994.57036683469808
0.95245.7630550282055.36976646526365
0.96248.7446605793555.26325359806108
0.97251.5399709809524.07922245993448
0.98253.8400486680382.51055409354938
0.99255.7335965296511.74944135524492


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')