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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 12:57:46 +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/t1281877206gkhdazcnvvwocln.htm/, Retrieved Fri, 19 Apr 2024 10:05:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78850, Retrieved Fri, 19 Apr 2024 10:05:44 +0000
QR Codes:

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

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Auto productie] [2010-02-25 15:21:10] [268ea95fef628aaa77b5f343b7444613]
- R PD  [Univariate Data Series] [Omzet product X] [2010-07-23 11:33:23] [f5ecd041e4b32af12787a4e421b18aaf]
-   P     [Univariate Data Series] [Omzet product X] [2010-07-23 11:36:31] [f5ecd041e4b32af12787a4e421b18aaf]
- RMP       [Histogram] [Histogram omzet p...] [2010-07-23 11:52:23] [f5ecd041e4b32af12787a4e421b18aaf]
-             [Histogram] [Histogram omzet p...] [2010-08-15 12:32:40] [f5ecd041e4b32af12787a4e421b18aaf]
- RMPD          [Kernel Density Estimation] [Dichtheidsgrafiek...] [2010-08-15 12:36:45] [f5ecd041e4b32af12787a4e421b18aaf]
- RMP               [Harrell-Davis Quantiles] [Harell-Davis Deci...] [2010-08-15 12:57:46] [05b8da000f2ebbd12b039a4b088dd3f2] [Current]
-   P                 [Harrell-Davis Quantiles] [Harell-Davis Deci...] [2010-08-15 13:06:36] [f5ecd041e4b32af12787a4e421b18aaf]
-                     [Harrell-Davis Quantiles] [Harell-Davis Perc...] [2010-08-15 13:10:56] [f5ecd041e4b32af12787a4e421b18aaf]
- RMPD                  [Central Tendency] [Centrummaten omze...] [2010-08-15 13:20:01] [f5ecd041e4b32af12787a4e421b18aaf]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
118
117
116
114
112
111
112
114
115
115
116
118
126
131
122
124
119
112
109
108
117
122
127
124
129
141
127
133
114
98
93
101
111
128
126
134
140
158
144
146
138
119
113
120
127
141
144
150
156
174
163
167
160
141
132
144
155
164
162
181
187
209
189
201
193
177
159
158
155
164
163
185
191
217
193
192
184
166
145
146
138
149
145
166

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'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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78850&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78850&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78850&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0195.06765018630744.68297898085843
0.0298.23763744265174.87423097420387
0.03101.4842340902845.07722500863094
0.04104.3447905758084.72283594038515
0.05106.6671093084143.91378288357601
0.06108.4361276558673.00896152059603
0.07109.7255686840512.26224471227005
0.08110.6546071563941.75433917666261
0.09111.3432411334501.46211699991399
0.1111.8867767224091.32724493096212
0.11112.3502336366721.28954312501007
0.12112.7731762988371.30087015515610
0.13113.1773192085511.33109003384348
0.14113.5734515116151.36650553759233
0.15113.9666525204161.40452950137284
0.16114.3596868939621.44783287093498
0.17114.7548305147681.49948570355781
0.18115.1545818558571.56169854239042
0.19115.5617733973591.63503750375998
0.2115.9794944482171.72086876138933
0.21116.4110365848861.82049265842956
0.22116.8598818113711.93634147074198
0.23117.3296464287352.07006883714375
0.24117.8238858395552.22180223772052
0.25118.3457267773972.38862654439765
0.26118.8973772396212.56456818684478
0.27119.4796312371882.74063095735391
0.28120.0915129061242.9065263698623
0.29120.7301872545003.05245088026309
0.3121.3912105527113.17053798771016
0.31122.0691178464593.25718517591643
0.32122.7582673184933.31370120173139
0.33123.4537992860263.34665859257029
0.34124.1525349401883.36766070084566
0.35124.8536429820643.39117099295026
0.36125.5589397981203.43272338821772
0.37126.2727525166393.50598173311717
0.38127.0013511220923.61990640699349
0.39127.7520307362623.77709754162403
0.4128.5319842921803.97247458513507
0.41129.3471390600064.19485246852182
0.42130.2011333628354.42808187007632
0.43131.0945838983054.65295706586804
0.44132.0247459971714.8507642536763
0.45132.9856087185095.00509129579518
0.46133.9684046522295.10293568304508
0.47134.9624603724765.13650810095183
0.48135.9562748996025.10500325030683
0.49136.9386942294615.01338124805232
0.5137.9000502593974.87192254752669
0.51138.8331489921874.69659794551463
0.52139.7340196159224.50577529267203
0.53140.6023655802324.32000753209264
0.54141.4416848128524.16015777298303
0.55142.2590458480254.04499796190884
0.56143.0645217200813.99059143258444
0.57143.8702999611294.00680585516791
0.58144.6895120701714.09644564797923
0.59145.5348633872794.25322107225052
0.6146.4171913279464.4620037707503
0.61147.3441248197024.70043748554996
0.62148.3190429154744.9422151721294
0.63149.3405184911345.15900420410287
0.64150.4023743477555.32640562314351
0.65151.4943791882285.42558582816292
0.66152.6034913806155.4461970156278
0.67153.7154522542055.38757841621166
0.68154.816472030945.25770237490635
0.69155.8947626298775.07165859938022
0.7156.9417524163354.84920169189473
0.71157.9529426326304.61163589798885
0.72158.9284879471664.38097005823388
0.73159.8736527190034.17929044204029
0.74160.7992711815924.02937776476892
0.75161.7222141903223.95694322768076
0.76162.6656672582363.99009860248152
0.77163.6588230349384.15626578227443
0.78164.7354808278734.47285315765077
0.79165.931120923924.93911327340994
0.8167.2783399107855.52793377733123
0.81168.8010737585546.18504590196968
0.82170.5086677222306.83322036148413
0.83172.3913410551797.38406693693762
0.84174.4186625203077.7534230362823
0.85176.5421032521757.8795222698825
0.86178.7016017032397.7382218826879
0.87180.8347308175377.348341080469
0.88182.8861703811276.76579176417273
0.89184.8154972381486.06749800568266
0.9186.603196295145.33266318001938
0.91188.2577394716394.63599055522815
0.92189.8286126409384.0644608023511
0.93191.427862422923.76333804365801
0.94193.252926731713.96158377699266
0.95195.5883147838034.82579615862836
0.96198.7553455528416.18887462440803
0.97202.9865278913927.48856169692516
0.98208.1875745206558.05965117174033
0.99213.5036392750897.92226274543156

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 95.0676501863074 & 4.68297898085843 \tabularnewline
0.02 & 98.2376374426517 & 4.87423097420387 \tabularnewline
0.03 & 101.484234090284 & 5.07722500863094 \tabularnewline
0.04 & 104.344790575808 & 4.72283594038515 \tabularnewline
0.05 & 106.667109308414 & 3.91378288357601 \tabularnewline
0.06 & 108.436127655867 & 3.00896152059603 \tabularnewline
0.07 & 109.725568684051 & 2.26224471227005 \tabularnewline
0.08 & 110.654607156394 & 1.75433917666261 \tabularnewline
0.09 & 111.343241133450 & 1.46211699991399 \tabularnewline
0.1 & 111.886776722409 & 1.32724493096212 \tabularnewline
0.11 & 112.350233636672 & 1.28954312501007 \tabularnewline
0.12 & 112.773176298837 & 1.30087015515610 \tabularnewline
0.13 & 113.177319208551 & 1.33109003384348 \tabularnewline
0.14 & 113.573451511615 & 1.36650553759233 \tabularnewline
0.15 & 113.966652520416 & 1.40452950137284 \tabularnewline
0.16 & 114.359686893962 & 1.44783287093498 \tabularnewline
0.17 & 114.754830514768 & 1.49948570355781 \tabularnewline
0.18 & 115.154581855857 & 1.56169854239042 \tabularnewline
0.19 & 115.561773397359 & 1.63503750375998 \tabularnewline
0.2 & 115.979494448217 & 1.72086876138933 \tabularnewline
0.21 & 116.411036584886 & 1.82049265842956 \tabularnewline
0.22 & 116.859881811371 & 1.93634147074198 \tabularnewline
0.23 & 117.329646428735 & 2.07006883714375 \tabularnewline
0.24 & 117.823885839555 & 2.22180223772052 \tabularnewline
0.25 & 118.345726777397 & 2.38862654439765 \tabularnewline
0.26 & 118.897377239621 & 2.56456818684478 \tabularnewline
0.27 & 119.479631237188 & 2.74063095735391 \tabularnewline
0.28 & 120.091512906124 & 2.9065263698623 \tabularnewline
0.29 & 120.730187254500 & 3.05245088026309 \tabularnewline
0.3 & 121.391210552711 & 3.17053798771016 \tabularnewline
0.31 & 122.069117846459 & 3.25718517591643 \tabularnewline
0.32 & 122.758267318493 & 3.31370120173139 \tabularnewline
0.33 & 123.453799286026 & 3.34665859257029 \tabularnewline
0.34 & 124.152534940188 & 3.36766070084566 \tabularnewline
0.35 & 124.853642982064 & 3.39117099295026 \tabularnewline
0.36 & 125.558939798120 & 3.43272338821772 \tabularnewline
0.37 & 126.272752516639 & 3.50598173311717 \tabularnewline
0.38 & 127.001351122092 & 3.61990640699349 \tabularnewline
0.39 & 127.752030736262 & 3.77709754162403 \tabularnewline
0.4 & 128.531984292180 & 3.97247458513507 \tabularnewline
0.41 & 129.347139060006 & 4.19485246852182 \tabularnewline
0.42 & 130.201133362835 & 4.42808187007632 \tabularnewline
0.43 & 131.094583898305 & 4.65295706586804 \tabularnewline
0.44 & 132.024745997171 & 4.8507642536763 \tabularnewline
0.45 & 132.985608718509 & 5.00509129579518 \tabularnewline
0.46 & 133.968404652229 & 5.10293568304508 \tabularnewline
0.47 & 134.962460372476 & 5.13650810095183 \tabularnewline
0.48 & 135.956274899602 & 5.10500325030683 \tabularnewline
0.49 & 136.938694229461 & 5.01338124805232 \tabularnewline
0.5 & 137.900050259397 & 4.87192254752669 \tabularnewline
0.51 & 138.833148992187 & 4.69659794551463 \tabularnewline
0.52 & 139.734019615922 & 4.50577529267203 \tabularnewline
0.53 & 140.602365580232 & 4.32000753209264 \tabularnewline
0.54 & 141.441684812852 & 4.16015777298303 \tabularnewline
0.55 & 142.259045848025 & 4.04499796190884 \tabularnewline
0.56 & 143.064521720081 & 3.99059143258444 \tabularnewline
0.57 & 143.870299961129 & 4.00680585516791 \tabularnewline
0.58 & 144.689512070171 & 4.09644564797923 \tabularnewline
0.59 & 145.534863387279 & 4.25322107225052 \tabularnewline
0.6 & 146.417191327946 & 4.4620037707503 \tabularnewline
0.61 & 147.344124819702 & 4.70043748554996 \tabularnewline
0.62 & 148.319042915474 & 4.9422151721294 \tabularnewline
0.63 & 149.340518491134 & 5.15900420410287 \tabularnewline
0.64 & 150.402374347755 & 5.32640562314351 \tabularnewline
0.65 & 151.494379188228 & 5.42558582816292 \tabularnewline
0.66 & 152.603491380615 & 5.4461970156278 \tabularnewline
0.67 & 153.715452254205 & 5.38757841621166 \tabularnewline
0.68 & 154.81647203094 & 5.25770237490635 \tabularnewline
0.69 & 155.894762629877 & 5.07165859938022 \tabularnewline
0.7 & 156.941752416335 & 4.84920169189473 \tabularnewline
0.71 & 157.952942632630 & 4.61163589798885 \tabularnewline
0.72 & 158.928487947166 & 4.38097005823388 \tabularnewline
0.73 & 159.873652719003 & 4.17929044204029 \tabularnewline
0.74 & 160.799271181592 & 4.02937776476892 \tabularnewline
0.75 & 161.722214190322 & 3.95694322768076 \tabularnewline
0.76 & 162.665667258236 & 3.99009860248152 \tabularnewline
0.77 & 163.658823034938 & 4.15626578227443 \tabularnewline
0.78 & 164.735480827873 & 4.47285315765077 \tabularnewline
0.79 & 165.93112092392 & 4.93911327340994 \tabularnewline
0.8 & 167.278339910785 & 5.52793377733123 \tabularnewline
0.81 & 168.801073758554 & 6.18504590196968 \tabularnewline
0.82 & 170.508667722230 & 6.83322036148413 \tabularnewline
0.83 & 172.391341055179 & 7.38406693693762 \tabularnewline
0.84 & 174.418662520307 & 7.7534230362823 \tabularnewline
0.85 & 176.542103252175 & 7.8795222698825 \tabularnewline
0.86 & 178.701601703239 & 7.7382218826879 \tabularnewline
0.87 & 180.834730817537 & 7.348341080469 \tabularnewline
0.88 & 182.886170381127 & 6.76579176417273 \tabularnewline
0.89 & 184.815497238148 & 6.06749800568266 \tabularnewline
0.9 & 186.60319629514 & 5.33266318001938 \tabularnewline
0.91 & 188.257739471639 & 4.63599055522815 \tabularnewline
0.92 & 189.828612640938 & 4.0644608023511 \tabularnewline
0.93 & 191.42786242292 & 3.76333804365801 \tabularnewline
0.94 & 193.25292673171 & 3.96158377699266 \tabularnewline
0.95 & 195.588314783803 & 4.82579615862836 \tabularnewline
0.96 & 198.755345552841 & 6.18887462440803 \tabularnewline
0.97 & 202.986527891392 & 7.48856169692516 \tabularnewline
0.98 & 208.187574520655 & 8.05965117174033 \tabularnewline
0.99 & 213.503639275089 & 7.92226274543156 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78850&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]95.0676501863074[/C][C]4.68297898085843[/C][/ROW]
[ROW][C]0.02[/C][C]98.2376374426517[/C][C]4.87423097420387[/C][/ROW]
[ROW][C]0.03[/C][C]101.484234090284[/C][C]5.07722500863094[/C][/ROW]
[ROW][C]0.04[/C][C]104.344790575808[/C][C]4.72283594038515[/C][/ROW]
[ROW][C]0.05[/C][C]106.667109308414[/C][C]3.91378288357601[/C][/ROW]
[ROW][C]0.06[/C][C]108.436127655867[/C][C]3.00896152059603[/C][/ROW]
[ROW][C]0.07[/C][C]109.725568684051[/C][C]2.26224471227005[/C][/ROW]
[ROW][C]0.08[/C][C]110.654607156394[/C][C]1.75433917666261[/C][/ROW]
[ROW][C]0.09[/C][C]111.343241133450[/C][C]1.46211699991399[/C][/ROW]
[ROW][C]0.1[/C][C]111.886776722409[/C][C]1.32724493096212[/C][/ROW]
[ROW][C]0.11[/C][C]112.350233636672[/C][C]1.28954312501007[/C][/ROW]
[ROW][C]0.12[/C][C]112.773176298837[/C][C]1.30087015515610[/C][/ROW]
[ROW][C]0.13[/C][C]113.177319208551[/C][C]1.33109003384348[/C][/ROW]
[ROW][C]0.14[/C][C]113.573451511615[/C][C]1.36650553759233[/C][/ROW]
[ROW][C]0.15[/C][C]113.966652520416[/C][C]1.40452950137284[/C][/ROW]
[ROW][C]0.16[/C][C]114.359686893962[/C][C]1.44783287093498[/C][/ROW]
[ROW][C]0.17[/C][C]114.754830514768[/C][C]1.49948570355781[/C][/ROW]
[ROW][C]0.18[/C][C]115.154581855857[/C][C]1.56169854239042[/C][/ROW]
[ROW][C]0.19[/C][C]115.561773397359[/C][C]1.63503750375998[/C][/ROW]
[ROW][C]0.2[/C][C]115.979494448217[/C][C]1.72086876138933[/C][/ROW]
[ROW][C]0.21[/C][C]116.411036584886[/C][C]1.82049265842956[/C][/ROW]
[ROW][C]0.22[/C][C]116.859881811371[/C][C]1.93634147074198[/C][/ROW]
[ROW][C]0.23[/C][C]117.329646428735[/C][C]2.07006883714375[/C][/ROW]
[ROW][C]0.24[/C][C]117.823885839555[/C][C]2.22180223772052[/C][/ROW]
[ROW][C]0.25[/C][C]118.345726777397[/C][C]2.38862654439765[/C][/ROW]
[ROW][C]0.26[/C][C]118.897377239621[/C][C]2.56456818684478[/C][/ROW]
[ROW][C]0.27[/C][C]119.479631237188[/C][C]2.74063095735391[/C][/ROW]
[ROW][C]0.28[/C][C]120.091512906124[/C][C]2.9065263698623[/C][/ROW]
[ROW][C]0.29[/C][C]120.730187254500[/C][C]3.05245088026309[/C][/ROW]
[ROW][C]0.3[/C][C]121.391210552711[/C][C]3.17053798771016[/C][/ROW]
[ROW][C]0.31[/C][C]122.069117846459[/C][C]3.25718517591643[/C][/ROW]
[ROW][C]0.32[/C][C]122.758267318493[/C][C]3.31370120173139[/C][/ROW]
[ROW][C]0.33[/C][C]123.453799286026[/C][C]3.34665859257029[/C][/ROW]
[ROW][C]0.34[/C][C]124.152534940188[/C][C]3.36766070084566[/C][/ROW]
[ROW][C]0.35[/C][C]124.853642982064[/C][C]3.39117099295026[/C][/ROW]
[ROW][C]0.36[/C][C]125.558939798120[/C][C]3.43272338821772[/C][/ROW]
[ROW][C]0.37[/C][C]126.272752516639[/C][C]3.50598173311717[/C][/ROW]
[ROW][C]0.38[/C][C]127.001351122092[/C][C]3.61990640699349[/C][/ROW]
[ROW][C]0.39[/C][C]127.752030736262[/C][C]3.77709754162403[/C][/ROW]
[ROW][C]0.4[/C][C]128.531984292180[/C][C]3.97247458513507[/C][/ROW]
[ROW][C]0.41[/C][C]129.347139060006[/C][C]4.19485246852182[/C][/ROW]
[ROW][C]0.42[/C][C]130.201133362835[/C][C]4.42808187007632[/C][/ROW]
[ROW][C]0.43[/C][C]131.094583898305[/C][C]4.65295706586804[/C][/ROW]
[ROW][C]0.44[/C][C]132.024745997171[/C][C]4.8507642536763[/C][/ROW]
[ROW][C]0.45[/C][C]132.985608718509[/C][C]5.00509129579518[/C][/ROW]
[ROW][C]0.46[/C][C]133.968404652229[/C][C]5.10293568304508[/C][/ROW]
[ROW][C]0.47[/C][C]134.962460372476[/C][C]5.13650810095183[/C][/ROW]
[ROW][C]0.48[/C][C]135.956274899602[/C][C]5.10500325030683[/C][/ROW]
[ROW][C]0.49[/C][C]136.938694229461[/C][C]5.01338124805232[/C][/ROW]
[ROW][C]0.5[/C][C]137.900050259397[/C][C]4.87192254752669[/C][/ROW]
[ROW][C]0.51[/C][C]138.833148992187[/C][C]4.69659794551463[/C][/ROW]
[ROW][C]0.52[/C][C]139.734019615922[/C][C]4.50577529267203[/C][/ROW]
[ROW][C]0.53[/C][C]140.602365580232[/C][C]4.32000753209264[/C][/ROW]
[ROW][C]0.54[/C][C]141.441684812852[/C][C]4.16015777298303[/C][/ROW]
[ROW][C]0.55[/C][C]142.259045848025[/C][C]4.04499796190884[/C][/ROW]
[ROW][C]0.56[/C][C]143.064521720081[/C][C]3.99059143258444[/C][/ROW]
[ROW][C]0.57[/C][C]143.870299961129[/C][C]4.00680585516791[/C][/ROW]
[ROW][C]0.58[/C][C]144.689512070171[/C][C]4.09644564797923[/C][/ROW]
[ROW][C]0.59[/C][C]145.534863387279[/C][C]4.25322107225052[/C][/ROW]
[ROW][C]0.6[/C][C]146.417191327946[/C][C]4.4620037707503[/C][/ROW]
[ROW][C]0.61[/C][C]147.344124819702[/C][C]4.70043748554996[/C][/ROW]
[ROW][C]0.62[/C][C]148.319042915474[/C][C]4.9422151721294[/C][/ROW]
[ROW][C]0.63[/C][C]149.340518491134[/C][C]5.15900420410287[/C][/ROW]
[ROW][C]0.64[/C][C]150.402374347755[/C][C]5.32640562314351[/C][/ROW]
[ROW][C]0.65[/C][C]151.494379188228[/C][C]5.42558582816292[/C][/ROW]
[ROW][C]0.66[/C][C]152.603491380615[/C][C]5.4461970156278[/C][/ROW]
[ROW][C]0.67[/C][C]153.715452254205[/C][C]5.38757841621166[/C][/ROW]
[ROW][C]0.68[/C][C]154.81647203094[/C][C]5.25770237490635[/C][/ROW]
[ROW][C]0.69[/C][C]155.894762629877[/C][C]5.07165859938022[/C][/ROW]
[ROW][C]0.7[/C][C]156.941752416335[/C][C]4.84920169189473[/C][/ROW]
[ROW][C]0.71[/C][C]157.952942632630[/C][C]4.61163589798885[/C][/ROW]
[ROW][C]0.72[/C][C]158.928487947166[/C][C]4.38097005823388[/C][/ROW]
[ROW][C]0.73[/C][C]159.873652719003[/C][C]4.17929044204029[/C][/ROW]
[ROW][C]0.74[/C][C]160.799271181592[/C][C]4.02937776476892[/C][/ROW]
[ROW][C]0.75[/C][C]161.722214190322[/C][C]3.95694322768076[/C][/ROW]
[ROW][C]0.76[/C][C]162.665667258236[/C][C]3.99009860248152[/C][/ROW]
[ROW][C]0.77[/C][C]163.658823034938[/C][C]4.15626578227443[/C][/ROW]
[ROW][C]0.78[/C][C]164.735480827873[/C][C]4.47285315765077[/C][/ROW]
[ROW][C]0.79[/C][C]165.93112092392[/C][C]4.93911327340994[/C][/ROW]
[ROW][C]0.8[/C][C]167.278339910785[/C][C]5.52793377733123[/C][/ROW]
[ROW][C]0.81[/C][C]168.801073758554[/C][C]6.18504590196968[/C][/ROW]
[ROW][C]0.82[/C][C]170.508667722230[/C][C]6.83322036148413[/C][/ROW]
[ROW][C]0.83[/C][C]172.391341055179[/C][C]7.38406693693762[/C][/ROW]
[ROW][C]0.84[/C][C]174.418662520307[/C][C]7.7534230362823[/C][/ROW]
[ROW][C]0.85[/C][C]176.542103252175[/C][C]7.8795222698825[/C][/ROW]
[ROW][C]0.86[/C][C]178.701601703239[/C][C]7.7382218826879[/C][/ROW]
[ROW][C]0.87[/C][C]180.834730817537[/C][C]7.348341080469[/C][/ROW]
[ROW][C]0.88[/C][C]182.886170381127[/C][C]6.76579176417273[/C][/ROW]
[ROW][C]0.89[/C][C]184.815497238148[/C][C]6.06749800568266[/C][/ROW]
[ROW][C]0.9[/C][C]186.60319629514[/C][C]5.33266318001938[/C][/ROW]
[ROW][C]0.91[/C][C]188.257739471639[/C][C]4.63599055522815[/C][/ROW]
[ROW][C]0.92[/C][C]189.828612640938[/C][C]4.0644608023511[/C][/ROW]
[ROW][C]0.93[/C][C]191.42786242292[/C][C]3.76333804365801[/C][/ROW]
[ROW][C]0.94[/C][C]193.25292673171[/C][C]3.96158377699266[/C][/ROW]
[ROW][C]0.95[/C][C]195.588314783803[/C][C]4.82579615862836[/C][/ROW]
[ROW][C]0.96[/C][C]198.755345552841[/C][C]6.18887462440803[/C][/ROW]
[ROW][C]0.97[/C][C]202.986527891392[/C][C]7.48856169692516[/C][/ROW]
[ROW][C]0.98[/C][C]208.187574520655[/C][C]8.05965117174033[/C][/ROW]
[ROW][C]0.99[/C][C]213.503639275089[/C][C]7.92226274543156[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78850&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78850&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
0.0195.06765018630744.68297898085843
0.0298.23763744265174.87423097420387
0.03101.4842340902845.07722500863094
0.04104.3447905758084.72283594038515
0.05106.6671093084143.91378288357601
0.06108.4361276558673.00896152059603
0.07109.7255686840512.26224471227005
0.08110.6546071563941.75433917666261
0.09111.3432411334501.46211699991399
0.1111.8867767224091.32724493096212
0.11112.3502336366721.28954312501007
0.12112.7731762988371.30087015515610
0.13113.1773192085511.33109003384348
0.14113.5734515116151.36650553759233
0.15113.9666525204161.40452950137284
0.16114.3596868939621.44783287093498
0.17114.7548305147681.49948570355781
0.18115.1545818558571.56169854239042
0.19115.5617733973591.63503750375998
0.2115.9794944482171.72086876138933
0.21116.4110365848861.82049265842956
0.22116.8598818113711.93634147074198
0.23117.3296464287352.07006883714375
0.24117.8238858395552.22180223772052
0.25118.3457267773972.38862654439765
0.26118.8973772396212.56456818684478
0.27119.4796312371882.74063095735391
0.28120.0915129061242.9065263698623
0.29120.7301872545003.05245088026309
0.3121.3912105527113.17053798771016
0.31122.0691178464593.25718517591643
0.32122.7582673184933.31370120173139
0.33123.4537992860263.34665859257029
0.34124.1525349401883.36766070084566
0.35124.8536429820643.39117099295026
0.36125.5589397981203.43272338821772
0.37126.2727525166393.50598173311717
0.38127.0013511220923.61990640699349
0.39127.7520307362623.77709754162403
0.4128.5319842921803.97247458513507
0.41129.3471390600064.19485246852182
0.42130.2011333628354.42808187007632
0.43131.0945838983054.65295706586804
0.44132.0247459971714.8507642536763
0.45132.9856087185095.00509129579518
0.46133.9684046522295.10293568304508
0.47134.9624603724765.13650810095183
0.48135.9562748996025.10500325030683
0.49136.9386942294615.01338124805232
0.5137.9000502593974.87192254752669
0.51138.8331489921874.69659794551463
0.52139.7340196159224.50577529267203
0.53140.6023655802324.32000753209264
0.54141.4416848128524.16015777298303
0.55142.2590458480254.04499796190884
0.56143.0645217200813.99059143258444
0.57143.8702999611294.00680585516791
0.58144.6895120701714.09644564797923
0.59145.5348633872794.25322107225052
0.6146.4171913279464.4620037707503
0.61147.3441248197024.70043748554996
0.62148.3190429154744.9422151721294
0.63149.3405184911345.15900420410287
0.64150.4023743477555.32640562314351
0.65151.4943791882285.42558582816292
0.66152.6034913806155.4461970156278
0.67153.7154522542055.38757841621166
0.68154.816472030945.25770237490635
0.69155.8947626298775.07165859938022
0.7156.9417524163354.84920169189473
0.71157.9529426326304.61163589798885
0.72158.9284879471664.38097005823388
0.73159.8736527190034.17929044204029
0.74160.7992711815924.02937776476892
0.75161.7222141903223.95694322768076
0.76162.6656672582363.99009860248152
0.77163.6588230349384.15626578227443
0.78164.7354808278734.47285315765077
0.79165.931120923924.93911327340994
0.8167.2783399107855.52793377733123
0.81168.8010737585546.18504590196968
0.82170.5086677222306.83322036148413
0.83172.3913410551797.38406693693762
0.84174.4186625203077.7534230362823
0.85176.5421032521757.8795222698825
0.86178.7016017032397.7382218826879
0.87180.8347308175377.348341080469
0.88182.8861703811276.76579176417273
0.89184.8154972381486.06749800568266
0.9186.603196295145.33266318001938
0.91188.2577394716394.63599055522815
0.92189.8286126409384.0644608023511
0.93191.427862422923.76333804365801
0.94193.252926731713.96158377699266
0.95195.5883147838034.82579615862836
0.96198.7553455528416.18887462440803
0.97202.9865278913927.48856169692516
0.98208.1875745206558.05965117174033
0.99213.5036392750897.92226274543156


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')