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, 19 May 2016 17:36:25 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/May/19/t14636757988iiuufkx9atmi7q.htm/, Retrieved Sat, 27 Apr 2024 07:38:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=295403, Retrieved Sat, 27 Apr 2024 07:38:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsMevrouw
Estimated Impact134

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] [] [2016-05-19 16:36:25] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
93166
93517
94547
95299
95121
95583
96138
96647
97311
97644
100299
101130
102239
103667
104494
105944
106956
109156
109528
109813
110939
112182
113137
114506
115197
116142
117478
118678
119808
121210
122372
123266
124020
124922
125863
126898
127522
128062
129630
130919
131175
133387
134512
135423
136395
137384
138344
139342
139885
140560
141457
144577
145505
146767
147602
148490
149516
150688
151012
151614
151779
152062
152432
153634
153989
155114
155448
155514
156552
157472
158928
154948
155178
155396
156479
157562
158255
159138
160067
161112
162009
162941
163463
165473
165805
166524
167426
168593
169452
170386
171281
171950
172842
173644
174380
175639
176169
176642
177225
178180
178771
180337
180740
181299
181768
182304
182670
183241
183106
183039
183447
184915
185144
185787
186243
186518
187156
186083
186350
187010
187057
187019
187487
188280
188756
189574
189996
190251
190925
191499
192172
191639

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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295403&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295403&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295403&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.1103097.3830637613782.29146680094
0.11104643.4662717313878.69789323301
0.12106162.0984039993919.51482106797
0.13107640.0506861643937.12067745202
0.14109077.3894800753962.74046235862
0.15110483.4861467934020.77799285089
0.16111872.5275646624119.6484403564
0.17113258.5183940874249.79727994741
0.18114651.0435164634390.98755240141
0.19116053.0959578374519.96128598461
0.2117461.3338521944619.11367669611
0.21118868.2162544624680.00294541633
0.22120265.0634797274704.92409933756
0.23121645.0756113224706.89344372739
0.24123005.5018412824704.93443529894
0.25124348.4267429624718.13257424099
0.26125680.0448130294760.25071757487
0.27127008.7646737724835.0828062689
0.28128342.8534147014935.81996406234
0.29129688.4403274165049.65454959376
0.3131048.4970397785162.55983723096
0.31132422.9827058735263.84491881207
0.32133809.8658275035349.76019466498
0.33135206.4017414955421.93548566377
0.34136609.9889263685484.01093791339
0.35138018.1658662915537.02554298591
0.36139427.7371080615575.90858533063
0.37140833.4447956735587.2682518358
0.38142226.8428033835554.33007380683
0.39143595.9816549875460.26328436535
0.4144926.2015049695295.57373106662
0.41146201.8999317965060.80488722047
0.42147408.7783658794765.2048640327
0.43148535.9209520464429.29999485087
0.44149577.1652230884075.18926055749
0.45150531.5166842433726.23635774507
0.46151402.7012402323400.20259388093
0.47152198.1994430123110.14557875119
0.48152928.1806424482865.17628524183
0.49153604.6538548832670.95391428238
0.5154240.9491357392531.80622037529
0.51154851.443051022452.4768795892
0.52155451.3293667632437.39991604049
0.53156056.2414889292487.93292224294
0.54156681.6281165742601.91926689372
0.55157341.9066562982771.86622410052
0.56158049.5130420752986.91888713023
0.57158814.0051129753232.00265102926
0.58159641.3661084093490.80518079747
0.59160533.6176033153745.60492740957
0.6161488.8052376463980.73948377757
0.61162501.3706090394181.71059242358
0.62163562.8667332794339.76698672866
0.63164662.9163152574448.86347723062
0.64165790.2667320454508.96552847328
0.65166933.7823613334522.3411253987
0.66168083.2431626754495.29811739517
0.67169229.8781816284434.97128837177
0.68170366.6268657724348.97935766701
0.69171488.1599782264244.15307419409
0.7172590.6910514254126.95067930856
0.71173671.581763394001.15907274198
0.72174728.7289339723868.81723773328
0.73175759.7618474333728.740425616
0.74176761.1946727243576.25164181478
0.75177727.8313700343403.9095820103
0.76178652.810485913206.13329671288
0.77179528.585922272980.91986713022
0.78180348.8071523452735.06771493991
0.79181110.5631790172484.35611856231
0.8181816.0176753192249.56757131104
0.81182472.3957734152050.51146953517
0.82183089.8035127621895.76040126141
0.83183677.3958315451776.63444301053
0.84184239.4927618541669.75738432553
0.85184773.6789391241548.89636946426
0.86185272.2413742041398.64216243304
0.87185726.7547525811222.62805626071
0.88186134.1595199471043.83538107776
0.89186502.150246716895.967788202288
0.9186851.943714973816.123032317901

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 103097.383063761 & 3782.29146680094 \tabularnewline
0.11 & 104643.466271731 & 3878.69789323301 \tabularnewline
0.12 & 106162.098403999 & 3919.51482106797 \tabularnewline
0.13 & 107640.050686164 & 3937.12067745202 \tabularnewline
0.14 & 109077.389480075 & 3962.74046235862 \tabularnewline
0.15 & 110483.486146793 & 4020.77799285089 \tabularnewline
0.16 & 111872.527564662 & 4119.6484403564 \tabularnewline
0.17 & 113258.518394087 & 4249.79727994741 \tabularnewline
0.18 & 114651.043516463 & 4390.98755240141 \tabularnewline
0.19 & 116053.095957837 & 4519.96128598461 \tabularnewline
0.2 & 117461.333852194 & 4619.11367669611 \tabularnewline
0.21 & 118868.216254462 & 4680.00294541633 \tabularnewline
0.22 & 120265.063479727 & 4704.92409933756 \tabularnewline
0.23 & 121645.075611322 & 4706.89344372739 \tabularnewline
0.24 & 123005.501841282 & 4704.93443529894 \tabularnewline
0.25 & 124348.426742962 & 4718.13257424099 \tabularnewline
0.26 & 125680.044813029 & 4760.25071757487 \tabularnewline
0.27 & 127008.764673772 & 4835.0828062689 \tabularnewline
0.28 & 128342.853414701 & 4935.81996406234 \tabularnewline
0.29 & 129688.440327416 & 5049.65454959376 \tabularnewline
0.3 & 131048.497039778 & 5162.55983723096 \tabularnewline
0.31 & 132422.982705873 & 5263.84491881207 \tabularnewline
0.32 & 133809.865827503 & 5349.76019466498 \tabularnewline
0.33 & 135206.401741495 & 5421.93548566377 \tabularnewline
0.34 & 136609.988926368 & 5484.01093791339 \tabularnewline
0.35 & 138018.165866291 & 5537.02554298591 \tabularnewline
0.36 & 139427.737108061 & 5575.90858533063 \tabularnewline
0.37 & 140833.444795673 & 5587.2682518358 \tabularnewline
0.38 & 142226.842803383 & 5554.33007380683 \tabularnewline
0.39 & 143595.981654987 & 5460.26328436535 \tabularnewline
0.4 & 144926.201504969 & 5295.57373106662 \tabularnewline
0.41 & 146201.899931796 & 5060.80488722047 \tabularnewline
0.42 & 147408.778365879 & 4765.2048640327 \tabularnewline
0.43 & 148535.920952046 & 4429.29999485087 \tabularnewline
0.44 & 149577.165223088 & 4075.18926055749 \tabularnewline
0.45 & 150531.516684243 & 3726.23635774507 \tabularnewline
0.46 & 151402.701240232 & 3400.20259388093 \tabularnewline
0.47 & 152198.199443012 & 3110.14557875119 \tabularnewline
0.48 & 152928.180642448 & 2865.17628524183 \tabularnewline
0.49 & 153604.653854883 & 2670.95391428238 \tabularnewline
0.5 & 154240.949135739 & 2531.80622037529 \tabularnewline
0.51 & 154851.44305102 & 2452.4768795892 \tabularnewline
0.52 & 155451.329366763 & 2437.39991604049 \tabularnewline
0.53 & 156056.241488929 & 2487.93292224294 \tabularnewline
0.54 & 156681.628116574 & 2601.91926689372 \tabularnewline
0.55 & 157341.906656298 & 2771.86622410052 \tabularnewline
0.56 & 158049.513042075 & 2986.91888713023 \tabularnewline
0.57 & 158814.005112975 & 3232.00265102926 \tabularnewline
0.58 & 159641.366108409 & 3490.80518079747 \tabularnewline
0.59 & 160533.617603315 & 3745.60492740957 \tabularnewline
0.6 & 161488.805237646 & 3980.73948377757 \tabularnewline
0.61 & 162501.370609039 & 4181.71059242358 \tabularnewline
0.62 & 163562.866733279 & 4339.76698672866 \tabularnewline
0.63 & 164662.916315257 & 4448.86347723062 \tabularnewline
0.64 & 165790.266732045 & 4508.96552847328 \tabularnewline
0.65 & 166933.782361333 & 4522.3411253987 \tabularnewline
0.66 & 168083.243162675 & 4495.29811739517 \tabularnewline
0.67 & 169229.878181628 & 4434.97128837177 \tabularnewline
0.68 & 170366.626865772 & 4348.97935766701 \tabularnewline
0.69 & 171488.159978226 & 4244.15307419409 \tabularnewline
0.7 & 172590.691051425 & 4126.95067930856 \tabularnewline
0.71 & 173671.58176339 & 4001.15907274198 \tabularnewline
0.72 & 174728.728933972 & 3868.81723773328 \tabularnewline
0.73 & 175759.761847433 & 3728.740425616 \tabularnewline
0.74 & 176761.194672724 & 3576.25164181478 \tabularnewline
0.75 & 177727.831370034 & 3403.9095820103 \tabularnewline
0.76 & 178652.81048591 & 3206.13329671288 \tabularnewline
0.77 & 179528.58592227 & 2980.91986713022 \tabularnewline
0.78 & 180348.807152345 & 2735.06771493991 \tabularnewline
0.79 & 181110.563179017 & 2484.35611856231 \tabularnewline
0.8 & 181816.017675319 & 2249.56757131104 \tabularnewline
0.81 & 182472.395773415 & 2050.51146953517 \tabularnewline
0.82 & 183089.803512762 & 1895.76040126141 \tabularnewline
0.83 & 183677.395831545 & 1776.63444301053 \tabularnewline
0.84 & 184239.492761854 & 1669.75738432553 \tabularnewline
0.85 & 184773.678939124 & 1548.89636946426 \tabularnewline
0.86 & 185272.241374204 & 1398.64216243304 \tabularnewline
0.87 & 185726.754752581 & 1222.62805626071 \tabularnewline
0.88 & 186134.159519947 & 1043.83538107776 \tabularnewline
0.89 & 186502.150246716 & 895.967788202288 \tabularnewline
0.9 & 186851.943714973 & 816.123032317901 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295403&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.1[/C][C]103097.383063761[/C][C]3782.29146680094[/C][/ROW]
[ROW][C]0.11[/C][C]104643.466271731[/C][C]3878.69789323301[/C][/ROW]
[ROW][C]0.12[/C][C]106162.098403999[/C][C]3919.51482106797[/C][/ROW]
[ROW][C]0.13[/C][C]107640.050686164[/C][C]3937.12067745202[/C][/ROW]
[ROW][C]0.14[/C][C]109077.389480075[/C][C]3962.74046235862[/C][/ROW]
[ROW][C]0.15[/C][C]110483.486146793[/C][C]4020.77799285089[/C][/ROW]
[ROW][C]0.16[/C][C]111872.527564662[/C][C]4119.6484403564[/C][/ROW]
[ROW][C]0.17[/C][C]113258.518394087[/C][C]4249.79727994741[/C][/ROW]
[ROW][C]0.18[/C][C]114651.043516463[/C][C]4390.98755240141[/C][/ROW]
[ROW][C]0.19[/C][C]116053.095957837[/C][C]4519.96128598461[/C][/ROW]
[ROW][C]0.2[/C][C]117461.333852194[/C][C]4619.11367669611[/C][/ROW]
[ROW][C]0.21[/C][C]118868.216254462[/C][C]4680.00294541633[/C][/ROW]
[ROW][C]0.22[/C][C]120265.063479727[/C][C]4704.92409933756[/C][/ROW]
[ROW][C]0.23[/C][C]121645.075611322[/C][C]4706.89344372739[/C][/ROW]
[ROW][C]0.24[/C][C]123005.501841282[/C][C]4704.93443529894[/C][/ROW]
[ROW][C]0.25[/C][C]124348.426742962[/C][C]4718.13257424099[/C][/ROW]
[ROW][C]0.26[/C][C]125680.044813029[/C][C]4760.25071757487[/C][/ROW]
[ROW][C]0.27[/C][C]127008.764673772[/C][C]4835.0828062689[/C][/ROW]
[ROW][C]0.28[/C][C]128342.853414701[/C][C]4935.81996406234[/C][/ROW]
[ROW][C]0.29[/C][C]129688.440327416[/C][C]5049.65454959376[/C][/ROW]
[ROW][C]0.3[/C][C]131048.497039778[/C][C]5162.55983723096[/C][/ROW]
[ROW][C]0.31[/C][C]132422.982705873[/C][C]5263.84491881207[/C][/ROW]
[ROW][C]0.32[/C][C]133809.865827503[/C][C]5349.76019466498[/C][/ROW]
[ROW][C]0.33[/C][C]135206.401741495[/C][C]5421.93548566377[/C][/ROW]
[ROW][C]0.34[/C][C]136609.988926368[/C][C]5484.01093791339[/C][/ROW]
[ROW][C]0.35[/C][C]138018.165866291[/C][C]5537.02554298591[/C][/ROW]
[ROW][C]0.36[/C][C]139427.737108061[/C][C]5575.90858533063[/C][/ROW]
[ROW][C]0.37[/C][C]140833.444795673[/C][C]5587.2682518358[/C][/ROW]
[ROW][C]0.38[/C][C]142226.842803383[/C][C]5554.33007380683[/C][/ROW]
[ROW][C]0.39[/C][C]143595.981654987[/C][C]5460.26328436535[/C][/ROW]
[ROW][C]0.4[/C][C]144926.201504969[/C][C]5295.57373106662[/C][/ROW]
[ROW][C]0.41[/C][C]146201.899931796[/C][C]5060.80488722047[/C][/ROW]
[ROW][C]0.42[/C][C]147408.778365879[/C][C]4765.2048640327[/C][/ROW]
[ROW][C]0.43[/C][C]148535.920952046[/C][C]4429.29999485087[/C][/ROW]
[ROW][C]0.44[/C][C]149577.165223088[/C][C]4075.18926055749[/C][/ROW]
[ROW][C]0.45[/C][C]150531.516684243[/C][C]3726.23635774507[/C][/ROW]
[ROW][C]0.46[/C][C]151402.701240232[/C][C]3400.20259388093[/C][/ROW]
[ROW][C]0.47[/C][C]152198.199443012[/C][C]3110.14557875119[/C][/ROW]
[ROW][C]0.48[/C][C]152928.180642448[/C][C]2865.17628524183[/C][/ROW]
[ROW][C]0.49[/C][C]153604.653854883[/C][C]2670.95391428238[/C][/ROW]
[ROW][C]0.5[/C][C]154240.949135739[/C][C]2531.80622037529[/C][/ROW]
[ROW][C]0.51[/C][C]154851.44305102[/C][C]2452.4768795892[/C][/ROW]
[ROW][C]0.52[/C][C]155451.329366763[/C][C]2437.39991604049[/C][/ROW]
[ROW][C]0.53[/C][C]156056.241488929[/C][C]2487.93292224294[/C][/ROW]
[ROW][C]0.54[/C][C]156681.628116574[/C][C]2601.91926689372[/C][/ROW]
[ROW][C]0.55[/C][C]157341.906656298[/C][C]2771.86622410052[/C][/ROW]
[ROW][C]0.56[/C][C]158049.513042075[/C][C]2986.91888713023[/C][/ROW]
[ROW][C]0.57[/C][C]158814.005112975[/C][C]3232.00265102926[/C][/ROW]
[ROW][C]0.58[/C][C]159641.366108409[/C][C]3490.80518079747[/C][/ROW]
[ROW][C]0.59[/C][C]160533.617603315[/C][C]3745.60492740957[/C][/ROW]
[ROW][C]0.6[/C][C]161488.805237646[/C][C]3980.73948377757[/C][/ROW]
[ROW][C]0.61[/C][C]162501.370609039[/C][C]4181.71059242358[/C][/ROW]
[ROW][C]0.62[/C][C]163562.866733279[/C][C]4339.76698672866[/C][/ROW]
[ROW][C]0.63[/C][C]164662.916315257[/C][C]4448.86347723062[/C][/ROW]
[ROW][C]0.64[/C][C]165790.266732045[/C][C]4508.96552847328[/C][/ROW]
[ROW][C]0.65[/C][C]166933.782361333[/C][C]4522.3411253987[/C][/ROW]
[ROW][C]0.66[/C][C]168083.243162675[/C][C]4495.29811739517[/C][/ROW]
[ROW][C]0.67[/C][C]169229.878181628[/C][C]4434.97128837177[/C][/ROW]
[ROW][C]0.68[/C][C]170366.626865772[/C][C]4348.97935766701[/C][/ROW]
[ROW][C]0.69[/C][C]171488.159978226[/C][C]4244.15307419409[/C][/ROW]
[ROW][C]0.7[/C][C]172590.691051425[/C][C]4126.95067930856[/C][/ROW]
[ROW][C]0.71[/C][C]173671.58176339[/C][C]4001.15907274198[/C][/ROW]
[ROW][C]0.72[/C][C]174728.728933972[/C][C]3868.81723773328[/C][/ROW]
[ROW][C]0.73[/C][C]175759.761847433[/C][C]3728.740425616[/C][/ROW]
[ROW][C]0.74[/C][C]176761.194672724[/C][C]3576.25164181478[/C][/ROW]
[ROW][C]0.75[/C][C]177727.831370034[/C][C]3403.9095820103[/C][/ROW]
[ROW][C]0.76[/C][C]178652.81048591[/C][C]3206.13329671288[/C][/ROW]
[ROW][C]0.77[/C][C]179528.58592227[/C][C]2980.91986713022[/C][/ROW]
[ROW][C]0.78[/C][C]180348.807152345[/C][C]2735.06771493991[/C][/ROW]
[ROW][C]0.79[/C][C]181110.563179017[/C][C]2484.35611856231[/C][/ROW]
[ROW][C]0.8[/C][C]181816.017675319[/C][C]2249.56757131104[/C][/ROW]
[ROW][C]0.81[/C][C]182472.395773415[/C][C]2050.51146953517[/C][/ROW]
[ROW][C]0.82[/C][C]183089.803512762[/C][C]1895.76040126141[/C][/ROW]
[ROW][C]0.83[/C][C]183677.395831545[/C][C]1776.63444301053[/C][/ROW]
[ROW][C]0.84[/C][C]184239.492761854[/C][C]1669.75738432553[/C][/ROW]
[ROW][C]0.85[/C][C]184773.678939124[/C][C]1548.89636946426[/C][/ROW]
[ROW][C]0.86[/C][C]185272.241374204[/C][C]1398.64216243304[/C][/ROW]
[ROW][C]0.87[/C][C]185726.754752581[/C][C]1222.62805626071[/C][/ROW]
[ROW][C]0.88[/C][C]186134.159519947[/C][C]1043.83538107776[/C][/ROW]
[ROW][C]0.89[/C][C]186502.150246716[/C][C]895.967788202288[/C][/ROW]
[ROW][C]0.9[/C][C]186851.943714973[/C][C]816.123032317901[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295403&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295403&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
0.1103097.3830637613782.29146680094
0.11104643.4662717313878.69789323301
0.12106162.0984039993919.51482106797
0.13107640.0506861643937.12067745202
0.14109077.3894800753962.74046235862
0.15110483.4861467934020.77799285089
0.16111872.5275646624119.6484403564
0.17113258.5183940874249.79727994741
0.18114651.0435164634390.98755240141
0.19116053.0959578374519.96128598461
0.2117461.3338521944619.11367669611
0.21118868.2162544624680.00294541633
0.22120265.0634797274704.92409933756
0.23121645.0756113224706.89344372739
0.24123005.5018412824704.93443529894
0.25124348.4267429624718.13257424099
0.26125680.0448130294760.25071757487
0.27127008.7646737724835.0828062689
0.28128342.8534147014935.81996406234
0.29129688.4403274165049.65454959376
0.3131048.4970397785162.55983723096
0.31132422.9827058735263.84491881207
0.32133809.8658275035349.76019466498
0.33135206.4017414955421.93548566377
0.34136609.9889263685484.01093791339
0.35138018.1658662915537.02554298591
0.36139427.7371080615575.90858533063
0.37140833.4447956735587.2682518358
0.38142226.8428033835554.33007380683
0.39143595.9816549875460.26328436535
0.4144926.2015049695295.57373106662
0.41146201.8999317965060.80488722047
0.42147408.7783658794765.2048640327
0.43148535.9209520464429.29999485087
0.44149577.1652230884075.18926055749
0.45150531.5166842433726.23635774507
0.46151402.7012402323400.20259388093
0.47152198.1994430123110.14557875119
0.48152928.1806424482865.17628524183
0.49153604.6538548832670.95391428238
0.5154240.9491357392531.80622037529
0.51154851.443051022452.4768795892
0.52155451.3293667632437.39991604049
0.53156056.2414889292487.93292224294
0.54156681.6281165742601.91926689372
0.55157341.9066562982771.86622410052
0.56158049.5130420752986.91888713023
0.57158814.0051129753232.00265102926
0.58159641.3661084093490.80518079747
0.59160533.6176033153745.60492740957
0.6161488.8052376463980.73948377757
0.61162501.3706090394181.71059242358
0.62163562.8667332794339.76698672866
0.63164662.9163152574448.86347723062
0.64165790.2667320454508.96552847328
0.65166933.7823613334522.3411253987
0.66168083.2431626754495.29811739517
0.67169229.8781816284434.97128837177
0.68170366.6268657724348.97935766701
0.69171488.1599782264244.15307419409
0.7172590.6910514254126.95067930856
0.71173671.581763394001.15907274198
0.72174728.7289339723868.81723773328
0.73175759.7618474333728.740425616
0.74176761.1946727243576.25164181478
0.75177727.8313700343403.9095820103
0.76178652.810485913206.13329671288
0.77179528.585922272980.91986713022
0.78180348.8071523452735.06771493991
0.79181110.5631790172484.35611856231
0.8181816.0176753192249.56757131104
0.81182472.3957734152050.51146953517
0.82183089.8035127621895.76040126141
0.83183677.3958315451776.63444301053
0.84184239.4927618541669.75738432553
0.85184773.6789391241548.89636946426
0.86185272.2413742041398.64216243304
0.87185726.7547525811222.62805626071
0.88186134.1595199471043.83538107776
0.89186502.150246716895.967788202288
0.9186851.943714973816.123032317901


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.9'
par1 <- '0.1'
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')