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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 computationMon, 15 Oct 2012 11:23:06 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/15/t1350314612wormblnf1r1hzvh.htm/, Retrieved Tue, 07 May 2024 11:51:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=177289, Retrieved Tue, 07 May 2024 11:51:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88

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] [] [2012-10-15 15:23:06] [b0bdee2d089ff8fe949f8413e207e90b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14544
14931
14886
16005
17064
15168
16050
15839
15137
14954
15648
15305
15579
16348
15928
16171
15937
15713
15594
15683
16438
17032
17696
17745
19394
20148
20108
18584
18441
18391
19178
18079
18483
19644
19195
19650
20830
23595
22937
21814
21928
21777
21383
21467
22052
22680
24320
24977
25204
25739
26434
27525
30695
32436
30160
30236
31293
31077
32226
33865
32810
32242
32700
32819
33947
34148
35261
39506
41591
39148
41216
40225

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' @ yule.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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=177289&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' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=177289&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=177289&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' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0114635.070011928266.919180448188
0.0214756.4009444741185.200656750623
0.0314864.3254629823140.159685013562
0.0414950.7791523386141.229322551855
0.0515025.5071415559165.635730639668
0.0615098.1922102736193.725343150959
0.0715173.0409925991216.864913999698
0.0815250.0105211369231.515636142519
0.0915327.1313652666236.674775753324
0.115402.1028149367233.293227662198
0.1115473.1323968064224.037177414445
0.1215539.2996787484212.680703942479
0.1315600.619665824203.014548431442
0.1415657.9074445291198.043392707083
0.1515712.5400417458199.53856331771
0.1615766.211453284208.213300348225
0.1715820.7489478152224.419377261372
0.1815878.0113112872248.548846574026
0.1915939.8469516023281.139961254613
0.216008.0690355418322.522080742769
0.2116084.40859276372.536355799012
0.2216170.4263396844430.178831126188
0.2316267.3879675719493.574603278639
0.2416376.1262841532560.06559675455
0.2516496.9221115973626.439344103571
0.2616629.4338781754689.28333240288
0.2716772.6959565479745.390435274483
0.2816925.1918023691792.139126907823
0.2917084.9936271604827.800200502456
0.317249.9487361215851.71576670221
0.3117417.885711201864.350584012599
0.3217586.8120793044867.190198490705
0.3317755.0786398123862.436568616115
0.3417921.4930131513852.844574338036
0.3518085.3744080965841.320817146531
0.3618246.5510779842830.582057203171
0.3718405.3096333596822.901550147983
0.3818562.3100590273820.018701300016
0.3918718.4815263872822.968985882912
0.418874.9123572853832.252927676711
0.4119032.7439552708847.743805516295
0.4219193.0746866767868.913741608308
0.4319356.8769400158894.854204506718
0.4419524.9297041213924.268339406463
0.4519697.7699192137955.586197425302
0.4619875.6676765259987.180988546271
0.4720058.6316628371017.36914520557
0.4820246.45066349221044.76513409031
0.4920438.77360940741068.54810132336
0.520635.22469783961088.70169716796
0.5120835.54270321021106.23206805196
0.5221039.72667828181123.03068414243
0.5321248.16600476651141.99185552685
0.5421461.73288804671166.4541236183
0.5521681.82051290951199.84683685235
0.5621910.3193683881245.09469833785
0.5722149.53554113581304.19625411151
0.5822402.0650548181378.04927447376
0.5922670.64457405391466.30796627984
0.622957.99891718081567.82109279228
0.6123266.69950838091680.75880587152
0.6223599.03696617461802.96365848138
0.6323956.89920026151932.10213597438
0.6424341.63838522052065.32302803542
0.6524753.91022222352199.02323120665
0.6625193.47907102032328.65166713546
0.6725659.00148867842448.20665847317
0.6826147.82334564792550.54539658239
0.6926655.84416732952627.66869037608
0.727177.50845439482671.76448369249
0.7127705.97195814652676.33436361913
0.7228233.46115434712637.36550105773
0.7328751.80296083972554.29153607827
0.7429253.06080756032430.32472243808
0.7529730.18571757852272.24537026488
0.7630177.58685275412089.58088063271
0.7730591.54713903511893.31634659051
0.7830970.44930415111694.64608012209
0.7931314.82286015771503.92085638555
0.831627.25980337221329.96912578849
0.8131912.2686691511180.17250761881
0.8232176.14459599051060.73406154314
0.8332426.933661949977.149040017563
0.8432674.5629003941934.749985930622
0.8532931.1731227463939.04032564292
0.8633211.5873018292996.446985958443
0.8733533.63185626641114.57448496323
0.8833917.72292002831300.0024629769
0.8934384.89352529981551.24402800155
0.934952.58818066321848.69436336037
0.9135628.42566453652147.01033791335
0.9236403.73119387162377.73724412896
0.9337250.21475269582467.27574191512
0.9438123.19871771322368.16573984251
0.9538971.90716269852089.03154485407
0.9639752.09986489151698.37486723804
0.9740432.39827891261284.55900154695
0.9840987.9860167382896.225185749928
0.9941386.6727475686558.282746928641

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 14635.070011928 & 266.919180448188 \tabularnewline
0.02 & 14756.4009444741 & 185.200656750623 \tabularnewline
0.03 & 14864.3254629823 & 140.159685013562 \tabularnewline
0.04 & 14950.7791523386 & 141.229322551855 \tabularnewline
0.05 & 15025.5071415559 & 165.635730639668 \tabularnewline
0.06 & 15098.1922102736 & 193.725343150959 \tabularnewline
0.07 & 15173.0409925991 & 216.864913999698 \tabularnewline
0.08 & 15250.0105211369 & 231.515636142519 \tabularnewline
0.09 & 15327.1313652666 & 236.674775753324 \tabularnewline
0.1 & 15402.1028149367 & 233.293227662198 \tabularnewline
0.11 & 15473.1323968064 & 224.037177414445 \tabularnewline
0.12 & 15539.2996787484 & 212.680703942479 \tabularnewline
0.13 & 15600.619665824 & 203.014548431442 \tabularnewline
0.14 & 15657.9074445291 & 198.043392707083 \tabularnewline
0.15 & 15712.5400417458 & 199.53856331771 \tabularnewline
0.16 & 15766.211453284 & 208.213300348225 \tabularnewline
0.17 & 15820.7489478152 & 224.419377261372 \tabularnewline
0.18 & 15878.0113112872 & 248.548846574026 \tabularnewline
0.19 & 15939.8469516023 & 281.139961254613 \tabularnewline
0.2 & 16008.0690355418 & 322.522080742769 \tabularnewline
0.21 & 16084.40859276 & 372.536355799012 \tabularnewline
0.22 & 16170.4263396844 & 430.178831126188 \tabularnewline
0.23 & 16267.3879675719 & 493.574603278639 \tabularnewline
0.24 & 16376.1262841532 & 560.06559675455 \tabularnewline
0.25 & 16496.9221115973 & 626.439344103571 \tabularnewline
0.26 & 16629.4338781754 & 689.28333240288 \tabularnewline
0.27 & 16772.6959565479 & 745.390435274483 \tabularnewline
0.28 & 16925.1918023691 & 792.139126907823 \tabularnewline
0.29 & 17084.9936271604 & 827.800200502456 \tabularnewline
0.3 & 17249.9487361215 & 851.71576670221 \tabularnewline
0.31 & 17417.885711201 & 864.350584012599 \tabularnewline
0.32 & 17586.8120793044 & 867.190198490705 \tabularnewline
0.33 & 17755.0786398123 & 862.436568616115 \tabularnewline
0.34 & 17921.4930131513 & 852.844574338036 \tabularnewline
0.35 & 18085.3744080965 & 841.320817146531 \tabularnewline
0.36 & 18246.5510779842 & 830.582057203171 \tabularnewline
0.37 & 18405.3096333596 & 822.901550147983 \tabularnewline
0.38 & 18562.3100590273 & 820.018701300016 \tabularnewline
0.39 & 18718.4815263872 & 822.968985882912 \tabularnewline
0.4 & 18874.9123572853 & 832.252927676711 \tabularnewline
0.41 & 19032.7439552708 & 847.743805516295 \tabularnewline
0.42 & 19193.0746866767 & 868.913741608308 \tabularnewline
0.43 & 19356.8769400158 & 894.854204506718 \tabularnewline
0.44 & 19524.9297041213 & 924.268339406463 \tabularnewline
0.45 & 19697.7699192137 & 955.586197425302 \tabularnewline
0.46 & 19875.6676765259 & 987.180988546271 \tabularnewline
0.47 & 20058.631662837 & 1017.36914520557 \tabularnewline
0.48 & 20246.4506634922 & 1044.76513409031 \tabularnewline
0.49 & 20438.7736094074 & 1068.54810132336 \tabularnewline
0.5 & 20635.2246978396 & 1088.70169716796 \tabularnewline
0.51 & 20835.5427032102 & 1106.23206805196 \tabularnewline
0.52 & 21039.7266782818 & 1123.03068414243 \tabularnewline
0.53 & 21248.1660047665 & 1141.99185552685 \tabularnewline
0.54 & 21461.7328880467 & 1166.4541236183 \tabularnewline
0.55 & 21681.8205129095 & 1199.84683685235 \tabularnewline
0.56 & 21910.319368388 & 1245.09469833785 \tabularnewline
0.57 & 22149.5355411358 & 1304.19625411151 \tabularnewline
0.58 & 22402.065054818 & 1378.04927447376 \tabularnewline
0.59 & 22670.6445740539 & 1466.30796627984 \tabularnewline
0.6 & 22957.9989171808 & 1567.82109279228 \tabularnewline
0.61 & 23266.6995083809 & 1680.75880587152 \tabularnewline
0.62 & 23599.0369661746 & 1802.96365848138 \tabularnewline
0.63 & 23956.8992002615 & 1932.10213597438 \tabularnewline
0.64 & 24341.6383852205 & 2065.32302803542 \tabularnewline
0.65 & 24753.9102222235 & 2199.02323120665 \tabularnewline
0.66 & 25193.4790710203 & 2328.65166713546 \tabularnewline
0.67 & 25659.0014886784 & 2448.20665847317 \tabularnewline
0.68 & 26147.8233456479 & 2550.54539658239 \tabularnewline
0.69 & 26655.8441673295 & 2627.66869037608 \tabularnewline
0.7 & 27177.5084543948 & 2671.76448369249 \tabularnewline
0.71 & 27705.9719581465 & 2676.33436361913 \tabularnewline
0.72 & 28233.4611543471 & 2637.36550105773 \tabularnewline
0.73 & 28751.8029608397 & 2554.29153607827 \tabularnewline
0.74 & 29253.0608075603 & 2430.32472243808 \tabularnewline
0.75 & 29730.1857175785 & 2272.24537026488 \tabularnewline
0.76 & 30177.5868527541 & 2089.58088063271 \tabularnewline
0.77 & 30591.5471390351 & 1893.31634659051 \tabularnewline
0.78 & 30970.4493041511 & 1694.64608012209 \tabularnewline
0.79 & 31314.8228601577 & 1503.92085638555 \tabularnewline
0.8 & 31627.2598033722 & 1329.96912578849 \tabularnewline
0.81 & 31912.268669151 & 1180.17250761881 \tabularnewline
0.82 & 32176.1445959905 & 1060.73406154314 \tabularnewline
0.83 & 32426.933661949 & 977.149040017563 \tabularnewline
0.84 & 32674.5629003941 & 934.749985930622 \tabularnewline
0.85 & 32931.1731227463 & 939.04032564292 \tabularnewline
0.86 & 33211.5873018292 & 996.446985958443 \tabularnewline
0.87 & 33533.6318562664 & 1114.57448496323 \tabularnewline
0.88 & 33917.7229200283 & 1300.0024629769 \tabularnewline
0.89 & 34384.8935252998 & 1551.24402800155 \tabularnewline
0.9 & 34952.5881806632 & 1848.69436336037 \tabularnewline
0.91 & 35628.4256645365 & 2147.01033791335 \tabularnewline
0.92 & 36403.7311938716 & 2377.73724412896 \tabularnewline
0.93 & 37250.2147526958 & 2467.27574191512 \tabularnewline
0.94 & 38123.1987177132 & 2368.16573984251 \tabularnewline
0.95 & 38971.9071626985 & 2089.03154485407 \tabularnewline
0.96 & 39752.0998648915 & 1698.37486723804 \tabularnewline
0.97 & 40432.3982789126 & 1284.55900154695 \tabularnewline
0.98 & 40987.9860167382 & 896.225185749928 \tabularnewline
0.99 & 41386.6727475686 & 558.282746928641 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=177289&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]14635.070011928[/C][C]266.919180448188[/C][/ROW]
[ROW][C]0.02[/C][C]14756.4009444741[/C][C]185.200656750623[/C][/ROW]
[ROW][C]0.03[/C][C]14864.3254629823[/C][C]140.159685013562[/C][/ROW]
[ROW][C]0.04[/C][C]14950.7791523386[/C][C]141.229322551855[/C][/ROW]
[ROW][C]0.05[/C][C]15025.5071415559[/C][C]165.635730639668[/C][/ROW]
[ROW][C]0.06[/C][C]15098.1922102736[/C][C]193.725343150959[/C][/ROW]
[ROW][C]0.07[/C][C]15173.0409925991[/C][C]216.864913999698[/C][/ROW]
[ROW][C]0.08[/C][C]15250.0105211369[/C][C]231.515636142519[/C][/ROW]
[ROW][C]0.09[/C][C]15327.1313652666[/C][C]236.674775753324[/C][/ROW]
[ROW][C]0.1[/C][C]15402.1028149367[/C][C]233.293227662198[/C][/ROW]
[ROW][C]0.11[/C][C]15473.1323968064[/C][C]224.037177414445[/C][/ROW]
[ROW][C]0.12[/C][C]15539.2996787484[/C][C]212.680703942479[/C][/ROW]
[ROW][C]0.13[/C][C]15600.619665824[/C][C]203.014548431442[/C][/ROW]
[ROW][C]0.14[/C][C]15657.9074445291[/C][C]198.043392707083[/C][/ROW]
[ROW][C]0.15[/C][C]15712.5400417458[/C][C]199.53856331771[/C][/ROW]
[ROW][C]0.16[/C][C]15766.211453284[/C][C]208.213300348225[/C][/ROW]
[ROW][C]0.17[/C][C]15820.7489478152[/C][C]224.419377261372[/C][/ROW]
[ROW][C]0.18[/C][C]15878.0113112872[/C][C]248.548846574026[/C][/ROW]
[ROW][C]0.19[/C][C]15939.8469516023[/C][C]281.139961254613[/C][/ROW]
[ROW][C]0.2[/C][C]16008.0690355418[/C][C]322.522080742769[/C][/ROW]
[ROW][C]0.21[/C][C]16084.40859276[/C][C]372.536355799012[/C][/ROW]
[ROW][C]0.22[/C][C]16170.4263396844[/C][C]430.178831126188[/C][/ROW]
[ROW][C]0.23[/C][C]16267.3879675719[/C][C]493.574603278639[/C][/ROW]
[ROW][C]0.24[/C][C]16376.1262841532[/C][C]560.06559675455[/C][/ROW]
[ROW][C]0.25[/C][C]16496.9221115973[/C][C]626.439344103571[/C][/ROW]
[ROW][C]0.26[/C][C]16629.4338781754[/C][C]689.28333240288[/C][/ROW]
[ROW][C]0.27[/C][C]16772.6959565479[/C][C]745.390435274483[/C][/ROW]
[ROW][C]0.28[/C][C]16925.1918023691[/C][C]792.139126907823[/C][/ROW]
[ROW][C]0.29[/C][C]17084.9936271604[/C][C]827.800200502456[/C][/ROW]
[ROW][C]0.3[/C][C]17249.9487361215[/C][C]851.71576670221[/C][/ROW]
[ROW][C]0.31[/C][C]17417.885711201[/C][C]864.350584012599[/C][/ROW]
[ROW][C]0.32[/C][C]17586.8120793044[/C][C]867.190198490705[/C][/ROW]
[ROW][C]0.33[/C][C]17755.0786398123[/C][C]862.436568616115[/C][/ROW]
[ROW][C]0.34[/C][C]17921.4930131513[/C][C]852.844574338036[/C][/ROW]
[ROW][C]0.35[/C][C]18085.3744080965[/C][C]841.320817146531[/C][/ROW]
[ROW][C]0.36[/C][C]18246.5510779842[/C][C]830.582057203171[/C][/ROW]
[ROW][C]0.37[/C][C]18405.3096333596[/C][C]822.901550147983[/C][/ROW]
[ROW][C]0.38[/C][C]18562.3100590273[/C][C]820.018701300016[/C][/ROW]
[ROW][C]0.39[/C][C]18718.4815263872[/C][C]822.968985882912[/C][/ROW]
[ROW][C]0.4[/C][C]18874.9123572853[/C][C]832.252927676711[/C][/ROW]
[ROW][C]0.41[/C][C]19032.7439552708[/C][C]847.743805516295[/C][/ROW]
[ROW][C]0.42[/C][C]19193.0746866767[/C][C]868.913741608308[/C][/ROW]
[ROW][C]0.43[/C][C]19356.8769400158[/C][C]894.854204506718[/C][/ROW]
[ROW][C]0.44[/C][C]19524.9297041213[/C][C]924.268339406463[/C][/ROW]
[ROW][C]0.45[/C][C]19697.7699192137[/C][C]955.586197425302[/C][/ROW]
[ROW][C]0.46[/C][C]19875.6676765259[/C][C]987.180988546271[/C][/ROW]
[ROW][C]0.47[/C][C]20058.631662837[/C][C]1017.36914520557[/C][/ROW]
[ROW][C]0.48[/C][C]20246.4506634922[/C][C]1044.76513409031[/C][/ROW]
[ROW][C]0.49[/C][C]20438.7736094074[/C][C]1068.54810132336[/C][/ROW]
[ROW][C]0.5[/C][C]20635.2246978396[/C][C]1088.70169716796[/C][/ROW]
[ROW][C]0.51[/C][C]20835.5427032102[/C][C]1106.23206805196[/C][/ROW]
[ROW][C]0.52[/C][C]21039.7266782818[/C][C]1123.03068414243[/C][/ROW]
[ROW][C]0.53[/C][C]21248.1660047665[/C][C]1141.99185552685[/C][/ROW]
[ROW][C]0.54[/C][C]21461.7328880467[/C][C]1166.4541236183[/C][/ROW]
[ROW][C]0.55[/C][C]21681.8205129095[/C][C]1199.84683685235[/C][/ROW]
[ROW][C]0.56[/C][C]21910.319368388[/C][C]1245.09469833785[/C][/ROW]
[ROW][C]0.57[/C][C]22149.5355411358[/C][C]1304.19625411151[/C][/ROW]
[ROW][C]0.58[/C][C]22402.065054818[/C][C]1378.04927447376[/C][/ROW]
[ROW][C]0.59[/C][C]22670.6445740539[/C][C]1466.30796627984[/C][/ROW]
[ROW][C]0.6[/C][C]22957.9989171808[/C][C]1567.82109279228[/C][/ROW]
[ROW][C]0.61[/C][C]23266.6995083809[/C][C]1680.75880587152[/C][/ROW]
[ROW][C]0.62[/C][C]23599.0369661746[/C][C]1802.96365848138[/C][/ROW]
[ROW][C]0.63[/C][C]23956.8992002615[/C][C]1932.10213597438[/C][/ROW]
[ROW][C]0.64[/C][C]24341.6383852205[/C][C]2065.32302803542[/C][/ROW]
[ROW][C]0.65[/C][C]24753.9102222235[/C][C]2199.02323120665[/C][/ROW]
[ROW][C]0.66[/C][C]25193.4790710203[/C][C]2328.65166713546[/C][/ROW]
[ROW][C]0.67[/C][C]25659.0014886784[/C][C]2448.20665847317[/C][/ROW]
[ROW][C]0.68[/C][C]26147.8233456479[/C][C]2550.54539658239[/C][/ROW]
[ROW][C]0.69[/C][C]26655.8441673295[/C][C]2627.66869037608[/C][/ROW]
[ROW][C]0.7[/C][C]27177.5084543948[/C][C]2671.76448369249[/C][/ROW]
[ROW][C]0.71[/C][C]27705.9719581465[/C][C]2676.33436361913[/C][/ROW]
[ROW][C]0.72[/C][C]28233.4611543471[/C][C]2637.36550105773[/C][/ROW]
[ROW][C]0.73[/C][C]28751.8029608397[/C][C]2554.29153607827[/C][/ROW]
[ROW][C]0.74[/C][C]29253.0608075603[/C][C]2430.32472243808[/C][/ROW]
[ROW][C]0.75[/C][C]29730.1857175785[/C][C]2272.24537026488[/C][/ROW]
[ROW][C]0.76[/C][C]30177.5868527541[/C][C]2089.58088063271[/C][/ROW]
[ROW][C]0.77[/C][C]30591.5471390351[/C][C]1893.31634659051[/C][/ROW]
[ROW][C]0.78[/C][C]30970.4493041511[/C][C]1694.64608012209[/C][/ROW]
[ROW][C]0.79[/C][C]31314.8228601577[/C][C]1503.92085638555[/C][/ROW]
[ROW][C]0.8[/C][C]31627.2598033722[/C][C]1329.96912578849[/C][/ROW]
[ROW][C]0.81[/C][C]31912.268669151[/C][C]1180.17250761881[/C][/ROW]
[ROW][C]0.82[/C][C]32176.1445959905[/C][C]1060.73406154314[/C][/ROW]
[ROW][C]0.83[/C][C]32426.933661949[/C][C]977.149040017563[/C][/ROW]
[ROW][C]0.84[/C][C]32674.5629003941[/C][C]934.749985930622[/C][/ROW]
[ROW][C]0.85[/C][C]32931.1731227463[/C][C]939.04032564292[/C][/ROW]
[ROW][C]0.86[/C][C]33211.5873018292[/C][C]996.446985958443[/C][/ROW]
[ROW][C]0.87[/C][C]33533.6318562664[/C][C]1114.57448496323[/C][/ROW]
[ROW][C]0.88[/C][C]33917.7229200283[/C][C]1300.0024629769[/C][/ROW]
[ROW][C]0.89[/C][C]34384.8935252998[/C][C]1551.24402800155[/C][/ROW]
[ROW][C]0.9[/C][C]34952.5881806632[/C][C]1848.69436336037[/C][/ROW]
[ROW][C]0.91[/C][C]35628.4256645365[/C][C]2147.01033791335[/C][/ROW]
[ROW][C]0.92[/C][C]36403.7311938716[/C][C]2377.73724412896[/C][/ROW]
[ROW][C]0.93[/C][C]37250.2147526958[/C][C]2467.27574191512[/C][/ROW]
[ROW][C]0.94[/C][C]38123.1987177132[/C][C]2368.16573984251[/C][/ROW]
[ROW][C]0.95[/C][C]38971.9071626985[/C][C]2089.03154485407[/C][/ROW]
[ROW][C]0.96[/C][C]39752.0998648915[/C][C]1698.37486723804[/C][/ROW]
[ROW][C]0.97[/C][C]40432.3982789126[/C][C]1284.55900154695[/C][/ROW]
[ROW][C]0.98[/C][C]40987.9860167382[/C][C]896.225185749928[/C][/ROW]
[ROW][C]0.99[/C][C]41386.6727475686[/C][C]558.282746928641[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=177289&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=177289&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
0.0114635.070011928266.919180448188
0.0214756.4009444741185.200656750623
0.0314864.3254629823140.159685013562
0.0414950.7791523386141.229322551855
0.0515025.5071415559165.635730639668
0.0615098.1922102736193.725343150959
0.0715173.0409925991216.864913999698
0.0815250.0105211369231.515636142519
0.0915327.1313652666236.674775753324
0.115402.1028149367233.293227662198
0.1115473.1323968064224.037177414445
0.1215539.2996787484212.680703942479
0.1315600.619665824203.014548431442
0.1415657.9074445291198.043392707083
0.1515712.5400417458199.53856331771
0.1615766.211453284208.213300348225
0.1715820.7489478152224.419377261372
0.1815878.0113112872248.548846574026
0.1915939.8469516023281.139961254613
0.216008.0690355418322.522080742769
0.2116084.40859276372.536355799012
0.2216170.4263396844430.178831126188
0.2316267.3879675719493.574603278639
0.2416376.1262841532560.06559675455
0.2516496.9221115973626.439344103571
0.2616629.4338781754689.28333240288
0.2716772.6959565479745.390435274483
0.2816925.1918023691792.139126907823
0.2917084.9936271604827.800200502456
0.317249.9487361215851.71576670221
0.3117417.885711201864.350584012599
0.3217586.8120793044867.190198490705
0.3317755.0786398123862.436568616115
0.3417921.4930131513852.844574338036
0.3518085.3744080965841.320817146531
0.3618246.5510779842830.582057203171
0.3718405.3096333596822.901550147983
0.3818562.3100590273820.018701300016
0.3918718.4815263872822.968985882912
0.418874.9123572853832.252927676711
0.4119032.7439552708847.743805516295
0.4219193.0746866767868.913741608308
0.4319356.8769400158894.854204506718
0.4419524.9297041213924.268339406463
0.4519697.7699192137955.586197425302
0.4619875.6676765259987.180988546271
0.4720058.6316628371017.36914520557
0.4820246.45066349221044.76513409031
0.4920438.77360940741068.54810132336
0.520635.22469783961088.70169716796
0.5120835.54270321021106.23206805196
0.5221039.72667828181123.03068414243
0.5321248.16600476651141.99185552685
0.5421461.73288804671166.4541236183
0.5521681.82051290951199.84683685235
0.5621910.3193683881245.09469833785
0.5722149.53554113581304.19625411151
0.5822402.0650548181378.04927447376
0.5922670.64457405391466.30796627984
0.622957.99891718081567.82109279228
0.6123266.69950838091680.75880587152
0.6223599.03696617461802.96365848138
0.6323956.89920026151932.10213597438
0.6424341.63838522052065.32302803542
0.6524753.91022222352199.02323120665
0.6625193.47907102032328.65166713546
0.6725659.00148867842448.20665847317
0.6826147.82334564792550.54539658239
0.6926655.84416732952627.66869037608
0.727177.50845439482671.76448369249
0.7127705.97195814652676.33436361913
0.7228233.46115434712637.36550105773
0.7328751.80296083972554.29153607827
0.7429253.06080756032430.32472243808
0.7529730.18571757852272.24537026488
0.7630177.58685275412089.58088063271
0.7730591.54713903511893.31634659051
0.7830970.44930415111694.64608012209
0.7931314.82286015771503.92085638555
0.831627.25980337221329.96912578849
0.8131912.2686691511180.17250761881
0.8232176.14459599051060.73406154314
0.8332426.933661949977.149040017563
0.8432674.5629003941934.749985930622
0.8532931.1731227463939.04032564292
0.8633211.5873018292996.446985958443
0.8733533.63185626641114.57448496323
0.8833917.72292002831300.0024629769
0.8934384.89352529981551.24402800155
0.934952.58818066321848.69436336037
0.9135628.42566453652147.01033791335
0.9236403.73119387162377.73724412896
0.9337250.21475269582467.27574191512
0.9438123.19871771322368.16573984251
0.9538971.90716269852089.03154485407
0.9639752.09986489151698.37486723804
0.9740432.39827891261284.55900154695
0.9840987.9860167382896.225185749928
0.9941386.6727475686558.282746928641


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')