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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 10 Aug 2016 13:37:31 +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/Aug/10/t1470832675bztm5ewlbrid26y.htm/, Retrieved Tue, 30 Apr 2024 03:37:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296190, Retrieved Tue, 30 Apr 2024 03:37:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101

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] [] [2016-08-10 12:37:31] [eed3b94f44ab74d862a61d666a631b56] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
154
170
170
156
178
174
160
166
175
171
161
188
158
170
165
163
180
170
166
178
189
160
164
183
160
171
174
174
183
176
154
158
199
156
175
181
153
161
175
175
183
181
159
158
194
154
173
186
148
149
175
173
189
175
161
150
200
153
173
181
158
141
174
173
196
165
151
149
198
144
166
178
158
130
181
170
188
155
158
153
210
151
169
185
159
130
181
164
189
145
161
154
210
149
164
185
165
131
173
165
185
144
156
158
210
144
164
184

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296190&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296190&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296190&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01130.782659703012.10092185375433
0.02133.1167152304834.86836335904941
0.03136.5205622398035.78728987152889
0.04139.8693134985944.88018464543069
0.05142.4841622152183.58696593686408
0.06144.3515974608922.82457901973684
0.07145.7428409918062.56682042754523
0.08146.8876085098062.45995599553222
0.09147.8943092306172.33448214168372
0.1148.7984512596472.19529484400989
0.11149.6156706132322.08450918478176
0.12150.3615381413912.0103869443806
0.13151.0503153420891.94992238495848
0.14151.690880965691.88028518712495
0.15152.2872976736411.79748240885765
0.16152.8426207970541.71520936647119
0.17153.3621849145191.65338511619895
0.18153.854246869371.62492882447103
0.19154.3281827543851.6288153561434
0.2154.79172560011.65105546769386
0.21155.2488066841721.67156288822051
0.22155.6989182298111.67253378963561
0.23156.1380951788641.64454326173081
0.24156.560979977551.58815407393486
0.25156.9631431310011.51388208450057
0.26157.3428847711411.43764503405089
0.27157.7020402926571.37690931773526
0.28158.0457089141731.34553753578162
0.29158.3811695642811.35029544912259
0.3158.716438023041.38958058385175
0.31159.0589184574921.45687474861344
0.32159.4144518883371.54279194424088
0.33159.786853864741.63800472980393
0.34160.1778599763961.73465029787091
0.35160.5873213347961.82600233530071
0.36161.0135166500821.90605372921843
0.37161.4535280504491.9702761443555
0.38161.9037003740222.01530990252608
0.39162.3602201230832.04137203605242
0.4162.8198006675522.05188368286225
0.41163.2803740105252.05419786897084
0.42163.7416171896762.05917240946128
0.43164.2051288327492.07723669563404
0.44164.674137260312.11590922357633
0.45165.1527493141512.17850611885978
0.46165.6448941200852.26026714042898
0.47166.1532237493192.35062904111866
0.48166.6782605109512.43667150371491
0.49167.2180144174062.50397966389459
0.5167.7681551330722.54234162657759
0.51168.3226591423722.54595192209769
0.52168.8747231153152.51452847124402
0.53169.4176832043642.45219638479384
0.54169.9457204014992.36555296830146
0.55170.4542407690742.26175648647335
0.56170.9399477634212.14686395874785
0.57171.4007207001612.02537610501466
0.58171.8354473645981.90086606923946
0.59172.2439300708941.77613792018066
0.6172.6269198002261.65523409229805
0.61172.9862677338491.54350581700946
0.62173.3251418088121.44743125518023
0.63173.6482407838651.37399864297157
0.64173.9619356367311.33112249489552
0.65174.2742619747891.32694485863182
0.66174.5946752704631.36693278219539
0.67174.9334800116531.45410923298757
0.68175.3008811774991.58521992781647
0.69175.7056993445531.75039051807076
0.7176.1539287445171.93256333561586
0.71176.6474561409972.11069953573158
0.72177.1833312277322.26220019560746
0.73177.7539266675352.36818214443243
0.74178.3481274328482.41668335352732
0.75178.9533858111232.40658003375229
0.76179.5581713657442.34728581361383
0.77180.1541640535632.25767996755914
0.78180.7375863491472.15975795271782
0.79181.3093623464922.07341932946904
0.8181.8742246023142.01152532795435
0.81182.4392658656721.97804056975182
0.82183.012557329921.97110283998361
0.83183.6022661667231.98685046281947
0.84184.2163673065612.02195683501179
0.85184.8628954289822.07513965583828
0.86185.5509686386922.14543213472936
0.87186.2932931352832.236980363014
0.88187.110618543672.36862706872626
0.89188.0366582103362.58033377302744
0.9189.1187971884862.91348405461342
0.91190.4090087282873.36104056846446
0.92191.9462795197113.83101683387772
0.93193.7472741585714.19085633136755
0.94195.8305921440634.40521593182084
0.95198.2670605740164.66837113278425
0.96201.1592019661825.1907511052148
0.97204.4165800008395.46090686503658
0.98207.4544504781674.29381904991819
0.99209.3975625667551.72709630369047

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 130.78265970301 & 2.10092185375433 \tabularnewline
0.02 & 133.116715230483 & 4.86836335904941 \tabularnewline
0.03 & 136.520562239803 & 5.78728987152889 \tabularnewline
0.04 & 139.869313498594 & 4.88018464543069 \tabularnewline
0.05 & 142.484162215218 & 3.58696593686408 \tabularnewline
0.06 & 144.351597460892 & 2.82457901973684 \tabularnewline
0.07 & 145.742840991806 & 2.56682042754523 \tabularnewline
0.08 & 146.887608509806 & 2.45995599553222 \tabularnewline
0.09 & 147.894309230617 & 2.33448214168372 \tabularnewline
0.1 & 148.798451259647 & 2.19529484400989 \tabularnewline
0.11 & 149.615670613232 & 2.08450918478176 \tabularnewline
0.12 & 150.361538141391 & 2.0103869443806 \tabularnewline
0.13 & 151.050315342089 & 1.94992238495848 \tabularnewline
0.14 & 151.69088096569 & 1.88028518712495 \tabularnewline
0.15 & 152.287297673641 & 1.79748240885765 \tabularnewline
0.16 & 152.842620797054 & 1.71520936647119 \tabularnewline
0.17 & 153.362184914519 & 1.65338511619895 \tabularnewline
0.18 & 153.85424686937 & 1.62492882447103 \tabularnewline
0.19 & 154.328182754385 & 1.6288153561434 \tabularnewline
0.2 & 154.7917256001 & 1.65105546769386 \tabularnewline
0.21 & 155.248806684172 & 1.67156288822051 \tabularnewline
0.22 & 155.698918229811 & 1.67253378963561 \tabularnewline
0.23 & 156.138095178864 & 1.64454326173081 \tabularnewline
0.24 & 156.56097997755 & 1.58815407393486 \tabularnewline
0.25 & 156.963143131001 & 1.51388208450057 \tabularnewline
0.26 & 157.342884771141 & 1.43764503405089 \tabularnewline
0.27 & 157.702040292657 & 1.37690931773526 \tabularnewline
0.28 & 158.045708914173 & 1.34553753578162 \tabularnewline
0.29 & 158.381169564281 & 1.35029544912259 \tabularnewline
0.3 & 158.71643802304 & 1.38958058385175 \tabularnewline
0.31 & 159.058918457492 & 1.45687474861344 \tabularnewline
0.32 & 159.414451888337 & 1.54279194424088 \tabularnewline
0.33 & 159.78685386474 & 1.63800472980393 \tabularnewline
0.34 & 160.177859976396 & 1.73465029787091 \tabularnewline
0.35 & 160.587321334796 & 1.82600233530071 \tabularnewline
0.36 & 161.013516650082 & 1.90605372921843 \tabularnewline
0.37 & 161.453528050449 & 1.9702761443555 \tabularnewline
0.38 & 161.903700374022 & 2.01530990252608 \tabularnewline
0.39 & 162.360220123083 & 2.04137203605242 \tabularnewline
0.4 & 162.819800667552 & 2.05188368286225 \tabularnewline
0.41 & 163.280374010525 & 2.05419786897084 \tabularnewline
0.42 & 163.741617189676 & 2.05917240946128 \tabularnewline
0.43 & 164.205128832749 & 2.07723669563404 \tabularnewline
0.44 & 164.67413726031 & 2.11590922357633 \tabularnewline
0.45 & 165.152749314151 & 2.17850611885978 \tabularnewline
0.46 & 165.644894120085 & 2.26026714042898 \tabularnewline
0.47 & 166.153223749319 & 2.35062904111866 \tabularnewline
0.48 & 166.678260510951 & 2.43667150371491 \tabularnewline
0.49 & 167.218014417406 & 2.50397966389459 \tabularnewline
0.5 & 167.768155133072 & 2.54234162657759 \tabularnewline
0.51 & 168.322659142372 & 2.54595192209769 \tabularnewline
0.52 & 168.874723115315 & 2.51452847124402 \tabularnewline
0.53 & 169.417683204364 & 2.45219638479384 \tabularnewline
0.54 & 169.945720401499 & 2.36555296830146 \tabularnewline
0.55 & 170.454240769074 & 2.26175648647335 \tabularnewline
0.56 & 170.939947763421 & 2.14686395874785 \tabularnewline
0.57 & 171.400720700161 & 2.02537610501466 \tabularnewline
0.58 & 171.835447364598 & 1.90086606923946 \tabularnewline
0.59 & 172.243930070894 & 1.77613792018066 \tabularnewline
0.6 & 172.626919800226 & 1.65523409229805 \tabularnewline
0.61 & 172.986267733849 & 1.54350581700946 \tabularnewline
0.62 & 173.325141808812 & 1.44743125518023 \tabularnewline
0.63 & 173.648240783865 & 1.37399864297157 \tabularnewline
0.64 & 173.961935636731 & 1.33112249489552 \tabularnewline
0.65 & 174.274261974789 & 1.32694485863182 \tabularnewline
0.66 & 174.594675270463 & 1.36693278219539 \tabularnewline
0.67 & 174.933480011653 & 1.45410923298757 \tabularnewline
0.68 & 175.300881177499 & 1.58521992781647 \tabularnewline
0.69 & 175.705699344553 & 1.75039051807076 \tabularnewline
0.7 & 176.153928744517 & 1.93256333561586 \tabularnewline
0.71 & 176.647456140997 & 2.11069953573158 \tabularnewline
0.72 & 177.183331227732 & 2.26220019560746 \tabularnewline
0.73 & 177.753926667535 & 2.36818214443243 \tabularnewline
0.74 & 178.348127432848 & 2.41668335352732 \tabularnewline
0.75 & 178.953385811123 & 2.40658003375229 \tabularnewline
0.76 & 179.558171365744 & 2.34728581361383 \tabularnewline
0.77 & 180.154164053563 & 2.25767996755914 \tabularnewline
0.78 & 180.737586349147 & 2.15975795271782 \tabularnewline
0.79 & 181.309362346492 & 2.07341932946904 \tabularnewline
0.8 & 181.874224602314 & 2.01152532795435 \tabularnewline
0.81 & 182.439265865672 & 1.97804056975182 \tabularnewline
0.82 & 183.01255732992 & 1.97110283998361 \tabularnewline
0.83 & 183.602266166723 & 1.98685046281947 \tabularnewline
0.84 & 184.216367306561 & 2.02195683501179 \tabularnewline
0.85 & 184.862895428982 & 2.07513965583828 \tabularnewline
0.86 & 185.550968638692 & 2.14543213472936 \tabularnewline
0.87 & 186.293293135283 & 2.236980363014 \tabularnewline
0.88 & 187.11061854367 & 2.36862706872626 \tabularnewline
0.89 & 188.036658210336 & 2.58033377302744 \tabularnewline
0.9 & 189.118797188486 & 2.91348405461342 \tabularnewline
0.91 & 190.409008728287 & 3.36104056846446 \tabularnewline
0.92 & 191.946279519711 & 3.83101683387772 \tabularnewline
0.93 & 193.747274158571 & 4.19085633136755 \tabularnewline
0.94 & 195.830592144063 & 4.40521593182084 \tabularnewline
0.95 & 198.267060574016 & 4.66837113278425 \tabularnewline
0.96 & 201.159201966182 & 5.1907511052148 \tabularnewline
0.97 & 204.416580000839 & 5.46090686503658 \tabularnewline
0.98 & 207.454450478167 & 4.29381904991819 \tabularnewline
0.99 & 209.397562566755 & 1.72709630369047 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296190&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]130.78265970301[/C][C]2.10092185375433[/C][/ROW]
[ROW][C]0.02[/C][C]133.116715230483[/C][C]4.86836335904941[/C][/ROW]
[ROW][C]0.03[/C][C]136.520562239803[/C][C]5.78728987152889[/C][/ROW]
[ROW][C]0.04[/C][C]139.869313498594[/C][C]4.88018464543069[/C][/ROW]
[ROW][C]0.05[/C][C]142.484162215218[/C][C]3.58696593686408[/C][/ROW]
[ROW][C]0.06[/C][C]144.351597460892[/C][C]2.82457901973684[/C][/ROW]
[ROW][C]0.07[/C][C]145.742840991806[/C][C]2.56682042754523[/C][/ROW]
[ROW][C]0.08[/C][C]146.887608509806[/C][C]2.45995599553222[/C][/ROW]
[ROW][C]0.09[/C][C]147.894309230617[/C][C]2.33448214168372[/C][/ROW]
[ROW][C]0.1[/C][C]148.798451259647[/C][C]2.19529484400989[/C][/ROW]
[ROW][C]0.11[/C][C]149.615670613232[/C][C]2.08450918478176[/C][/ROW]
[ROW][C]0.12[/C][C]150.361538141391[/C][C]2.0103869443806[/C][/ROW]
[ROW][C]0.13[/C][C]151.050315342089[/C][C]1.94992238495848[/C][/ROW]
[ROW][C]0.14[/C][C]151.69088096569[/C][C]1.88028518712495[/C][/ROW]
[ROW][C]0.15[/C][C]152.287297673641[/C][C]1.79748240885765[/C][/ROW]
[ROW][C]0.16[/C][C]152.842620797054[/C][C]1.71520936647119[/C][/ROW]
[ROW][C]0.17[/C][C]153.362184914519[/C][C]1.65338511619895[/C][/ROW]
[ROW][C]0.18[/C][C]153.85424686937[/C][C]1.62492882447103[/C][/ROW]
[ROW][C]0.19[/C][C]154.328182754385[/C][C]1.6288153561434[/C][/ROW]
[ROW][C]0.2[/C][C]154.7917256001[/C][C]1.65105546769386[/C][/ROW]
[ROW][C]0.21[/C][C]155.248806684172[/C][C]1.67156288822051[/C][/ROW]
[ROW][C]0.22[/C][C]155.698918229811[/C][C]1.67253378963561[/C][/ROW]
[ROW][C]0.23[/C][C]156.138095178864[/C][C]1.64454326173081[/C][/ROW]
[ROW][C]0.24[/C][C]156.56097997755[/C][C]1.58815407393486[/C][/ROW]
[ROW][C]0.25[/C][C]156.963143131001[/C][C]1.51388208450057[/C][/ROW]
[ROW][C]0.26[/C][C]157.342884771141[/C][C]1.43764503405089[/C][/ROW]
[ROW][C]0.27[/C][C]157.702040292657[/C][C]1.37690931773526[/C][/ROW]
[ROW][C]0.28[/C][C]158.045708914173[/C][C]1.34553753578162[/C][/ROW]
[ROW][C]0.29[/C][C]158.381169564281[/C][C]1.35029544912259[/C][/ROW]
[ROW][C]0.3[/C][C]158.71643802304[/C][C]1.38958058385175[/C][/ROW]
[ROW][C]0.31[/C][C]159.058918457492[/C][C]1.45687474861344[/C][/ROW]
[ROW][C]0.32[/C][C]159.414451888337[/C][C]1.54279194424088[/C][/ROW]
[ROW][C]0.33[/C][C]159.78685386474[/C][C]1.63800472980393[/C][/ROW]
[ROW][C]0.34[/C][C]160.177859976396[/C][C]1.73465029787091[/C][/ROW]
[ROW][C]0.35[/C][C]160.587321334796[/C][C]1.82600233530071[/C][/ROW]
[ROW][C]0.36[/C][C]161.013516650082[/C][C]1.90605372921843[/C][/ROW]
[ROW][C]0.37[/C][C]161.453528050449[/C][C]1.9702761443555[/C][/ROW]
[ROW][C]0.38[/C][C]161.903700374022[/C][C]2.01530990252608[/C][/ROW]
[ROW][C]0.39[/C][C]162.360220123083[/C][C]2.04137203605242[/C][/ROW]
[ROW][C]0.4[/C][C]162.819800667552[/C][C]2.05188368286225[/C][/ROW]
[ROW][C]0.41[/C][C]163.280374010525[/C][C]2.05419786897084[/C][/ROW]
[ROW][C]0.42[/C][C]163.741617189676[/C][C]2.05917240946128[/C][/ROW]
[ROW][C]0.43[/C][C]164.205128832749[/C][C]2.07723669563404[/C][/ROW]
[ROW][C]0.44[/C][C]164.67413726031[/C][C]2.11590922357633[/C][/ROW]
[ROW][C]0.45[/C][C]165.152749314151[/C][C]2.17850611885978[/C][/ROW]
[ROW][C]0.46[/C][C]165.644894120085[/C][C]2.26026714042898[/C][/ROW]
[ROW][C]0.47[/C][C]166.153223749319[/C][C]2.35062904111866[/C][/ROW]
[ROW][C]0.48[/C][C]166.678260510951[/C][C]2.43667150371491[/C][/ROW]
[ROW][C]0.49[/C][C]167.218014417406[/C][C]2.50397966389459[/C][/ROW]
[ROW][C]0.5[/C][C]167.768155133072[/C][C]2.54234162657759[/C][/ROW]
[ROW][C]0.51[/C][C]168.322659142372[/C][C]2.54595192209769[/C][/ROW]
[ROW][C]0.52[/C][C]168.874723115315[/C][C]2.51452847124402[/C][/ROW]
[ROW][C]0.53[/C][C]169.417683204364[/C][C]2.45219638479384[/C][/ROW]
[ROW][C]0.54[/C][C]169.945720401499[/C][C]2.36555296830146[/C][/ROW]
[ROW][C]0.55[/C][C]170.454240769074[/C][C]2.26175648647335[/C][/ROW]
[ROW][C]0.56[/C][C]170.939947763421[/C][C]2.14686395874785[/C][/ROW]
[ROW][C]0.57[/C][C]171.400720700161[/C][C]2.02537610501466[/C][/ROW]
[ROW][C]0.58[/C][C]171.835447364598[/C][C]1.90086606923946[/C][/ROW]
[ROW][C]0.59[/C][C]172.243930070894[/C][C]1.77613792018066[/C][/ROW]
[ROW][C]0.6[/C][C]172.626919800226[/C][C]1.65523409229805[/C][/ROW]
[ROW][C]0.61[/C][C]172.986267733849[/C][C]1.54350581700946[/C][/ROW]
[ROW][C]0.62[/C][C]173.325141808812[/C][C]1.44743125518023[/C][/ROW]
[ROW][C]0.63[/C][C]173.648240783865[/C][C]1.37399864297157[/C][/ROW]
[ROW][C]0.64[/C][C]173.961935636731[/C][C]1.33112249489552[/C][/ROW]
[ROW][C]0.65[/C][C]174.274261974789[/C][C]1.32694485863182[/C][/ROW]
[ROW][C]0.66[/C][C]174.594675270463[/C][C]1.36693278219539[/C][/ROW]
[ROW][C]0.67[/C][C]174.933480011653[/C][C]1.45410923298757[/C][/ROW]
[ROW][C]0.68[/C][C]175.300881177499[/C][C]1.58521992781647[/C][/ROW]
[ROW][C]0.69[/C][C]175.705699344553[/C][C]1.75039051807076[/C][/ROW]
[ROW][C]0.7[/C][C]176.153928744517[/C][C]1.93256333561586[/C][/ROW]
[ROW][C]0.71[/C][C]176.647456140997[/C][C]2.11069953573158[/C][/ROW]
[ROW][C]0.72[/C][C]177.183331227732[/C][C]2.26220019560746[/C][/ROW]
[ROW][C]0.73[/C][C]177.753926667535[/C][C]2.36818214443243[/C][/ROW]
[ROW][C]0.74[/C][C]178.348127432848[/C][C]2.41668335352732[/C][/ROW]
[ROW][C]0.75[/C][C]178.953385811123[/C][C]2.40658003375229[/C][/ROW]
[ROW][C]0.76[/C][C]179.558171365744[/C][C]2.34728581361383[/C][/ROW]
[ROW][C]0.77[/C][C]180.154164053563[/C][C]2.25767996755914[/C][/ROW]
[ROW][C]0.78[/C][C]180.737586349147[/C][C]2.15975795271782[/C][/ROW]
[ROW][C]0.79[/C][C]181.309362346492[/C][C]2.07341932946904[/C][/ROW]
[ROW][C]0.8[/C][C]181.874224602314[/C][C]2.01152532795435[/C][/ROW]
[ROW][C]0.81[/C][C]182.439265865672[/C][C]1.97804056975182[/C][/ROW]
[ROW][C]0.82[/C][C]183.01255732992[/C][C]1.97110283998361[/C][/ROW]
[ROW][C]0.83[/C][C]183.602266166723[/C][C]1.98685046281947[/C][/ROW]
[ROW][C]0.84[/C][C]184.216367306561[/C][C]2.02195683501179[/C][/ROW]
[ROW][C]0.85[/C][C]184.862895428982[/C][C]2.07513965583828[/C][/ROW]
[ROW][C]0.86[/C][C]185.550968638692[/C][C]2.14543213472936[/C][/ROW]
[ROW][C]0.87[/C][C]186.293293135283[/C][C]2.236980363014[/C][/ROW]
[ROW][C]0.88[/C][C]187.11061854367[/C][C]2.36862706872626[/C][/ROW]
[ROW][C]0.89[/C][C]188.036658210336[/C][C]2.58033377302744[/C][/ROW]
[ROW][C]0.9[/C][C]189.118797188486[/C][C]2.91348405461342[/C][/ROW]
[ROW][C]0.91[/C][C]190.409008728287[/C][C]3.36104056846446[/C][/ROW]
[ROW][C]0.92[/C][C]191.946279519711[/C][C]3.83101683387772[/C][/ROW]
[ROW][C]0.93[/C][C]193.747274158571[/C][C]4.19085633136755[/C][/ROW]
[ROW][C]0.94[/C][C]195.830592144063[/C][C]4.40521593182084[/C][/ROW]
[ROW][C]0.95[/C][C]198.267060574016[/C][C]4.66837113278425[/C][/ROW]
[ROW][C]0.96[/C][C]201.159201966182[/C][C]5.1907511052148[/C][/ROW]
[ROW][C]0.97[/C][C]204.416580000839[/C][C]5.46090686503658[/C][/ROW]
[ROW][C]0.98[/C][C]207.454450478167[/C][C]4.29381904991819[/C][/ROW]
[ROW][C]0.99[/C][C]209.397562566755[/C][C]1.72709630369047[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296190&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296190&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
0.01130.782659703012.10092185375433
0.02133.1167152304834.86836335904941
0.03136.5205622398035.78728987152889
0.04139.8693134985944.88018464543069
0.05142.4841622152183.58696593686408
0.06144.3515974608922.82457901973684
0.07145.7428409918062.56682042754523
0.08146.8876085098062.45995599553222
0.09147.8943092306172.33448214168372
0.1148.7984512596472.19529484400989
0.11149.6156706132322.08450918478176
0.12150.3615381413912.0103869443806
0.13151.0503153420891.94992238495848
0.14151.690880965691.88028518712495
0.15152.2872976736411.79748240885765
0.16152.8426207970541.71520936647119
0.17153.3621849145191.65338511619895
0.18153.854246869371.62492882447103
0.19154.3281827543851.6288153561434
0.2154.79172560011.65105546769386
0.21155.2488066841721.67156288822051
0.22155.6989182298111.67253378963561
0.23156.1380951788641.64454326173081
0.24156.560979977551.58815407393486
0.25156.9631431310011.51388208450057
0.26157.3428847711411.43764503405089
0.27157.7020402926571.37690931773526
0.28158.0457089141731.34553753578162
0.29158.3811695642811.35029544912259
0.3158.716438023041.38958058385175
0.31159.0589184574921.45687474861344
0.32159.4144518883371.54279194424088
0.33159.786853864741.63800472980393
0.34160.1778599763961.73465029787091
0.35160.5873213347961.82600233530071
0.36161.0135166500821.90605372921843
0.37161.4535280504491.9702761443555
0.38161.9037003740222.01530990252608
0.39162.3602201230832.04137203605242
0.4162.8198006675522.05188368286225
0.41163.2803740105252.05419786897084
0.42163.7416171896762.05917240946128
0.43164.2051288327492.07723669563404
0.44164.674137260312.11590922357633
0.45165.1527493141512.17850611885978
0.46165.6448941200852.26026714042898
0.47166.1532237493192.35062904111866
0.48166.6782605109512.43667150371491
0.49167.2180144174062.50397966389459
0.5167.7681551330722.54234162657759
0.51168.3226591423722.54595192209769
0.52168.8747231153152.51452847124402
0.53169.4176832043642.45219638479384
0.54169.9457204014992.36555296830146
0.55170.4542407690742.26175648647335
0.56170.9399477634212.14686395874785
0.57171.4007207001612.02537610501466
0.58171.8354473645981.90086606923946
0.59172.2439300708941.77613792018066
0.6172.6269198002261.65523409229805
0.61172.9862677338491.54350581700946
0.62173.3251418088121.44743125518023
0.63173.6482407838651.37399864297157
0.64173.9619356367311.33112249489552
0.65174.2742619747891.32694485863182
0.66174.5946752704631.36693278219539
0.67174.9334800116531.45410923298757
0.68175.3008811774991.58521992781647
0.69175.7056993445531.75039051807076
0.7176.1539287445171.93256333561586
0.71176.6474561409972.11069953573158
0.72177.1833312277322.26220019560746
0.73177.7539266675352.36818214443243
0.74178.3481274328482.41668335352732
0.75178.9533858111232.40658003375229
0.76179.5581713657442.34728581361383
0.77180.1541640535632.25767996755914
0.78180.7375863491472.15975795271782
0.79181.3093623464922.07341932946904
0.8181.8742246023142.01152532795435
0.81182.4392658656721.97804056975182
0.82183.012557329921.97110283998361
0.83183.6022661667231.98685046281947
0.84184.2163673065612.02195683501179
0.85184.8628954289822.07513965583828
0.86185.5509686386922.14543213472936
0.87186.2932931352832.236980363014
0.88187.110618543672.36862706872626
0.89188.0366582103362.58033377302744
0.9189.1187971884862.91348405461342
0.91190.4090087282873.36104056846446
0.92191.9462795197113.83101683387772
0.93193.7472741585714.19085633136755
0.94195.8305921440634.40521593182084
0.95198.2670605740164.66837113278425
0.96201.1592019661825.1907511052148
0.97204.4165800008395.46090686503658
0.98207.4544504781674.29381904991819
0.99209.3975625667551.72709630369047


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')