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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 computationSat, 01 Mar 2008 08:41:55 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/01/t1204386213rcub9bo39huec0h.htm/, Retrieved Fri, 17 May 2024 20:49:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9404, Retrieved Fri, 17 May 2024 20:49:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact203

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] [Harrell Davis per...] [2008-03-01 15:41:55] [2d679ee92688abc2a19dfb46633cb8da] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
113000
110000
107000
103000
98000
98000
137000
148000
147000
139000
130000
128000
127000
123000
118000
114000
108000
111000
151000
159000
158000
148000
138000
137000
136000
133000
126000
120000
114000
116000
153000
162000
161000
149000
139000
135000
130000
127000
122000
117000
112000
113000
149000
157000
157000
147000
137000
132000
125000
123000
117000
114000
111000
112000
144000
150000
149000
134000
123000
116000
117000
111000
105000
102000
95000
93000
124000
130000
124000
115000
106000
105000

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9404&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9404&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9404&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0193771.83996479762132.4012126155
0.0295033.25677720972405.29574235804
0.0396463.19260917072644.18401306639
0.0497881.99359861632840.26625300677
0.0599233.14624027982994.7486933049
0.06100504.9374879783056.39911611848
0.07101689.7665288733002.21169766225
0.08102779.2351646922868.47292855697
0.09103771.1799818502719.16342574782
0.1104673.5632141422605.21112157831
0.11105501.9195137122544.71151842374
0.12106273.4312354052524.10541568265
0.13107001.6070299492514.98713861519
0.14107693.727505272489.63939204845
0.15108351.1799562642431.07540634082
0.16108971.6327690022335.84871033829
0.17109551.7427923272211.75998633365
0.18110089.389264762073.47719250809
0.19110584.9280487051937.73745329797
0.2111041.4226706651818.86358481280
0.21111464.1152219391725.90514629245
0.22111859.5219441401662.25594225924
0.23112234.5077432031626.76243575344
0.24112595.5747308011615.58573619481
0.25112948.4590199891624.51199086465
0.26113298.0163859881650.19851625383
0.27113648.3132054301690.28760945688
0.28114002.822327851743.79553112987
0.29114364.6379881011810.44295408975
0.3114736.6504098911890.43775961968
0.31115121.6455885471984.43976071042
0.32115522.3135815382092.60375058669
0.33115941.1612215812214.36578546769
0.34116380.3372117622347.66948348217
0.35116841.3924671912488.90282944182
0.36117325.0158125142632.05178393087
0.37117830.8001653642769.68305346998
0.38118357.1006093192893.59635524566
0.39118901.0379610982995.87079584078
0.4119458.6782302163070.29893420682
0.41120025.3836473443113.51410386675
0.42120596.2930007413125.5509870815
0.43121166.8580249093110.26604419464
0.44121733.3472392153074.37237105862
0.45122293.2333588283026.70559341284
0.46122845.4039626162977.24948021625
0.47123390.1711172842934.6798636796
0.48123929.0946885972906.02249548712
0.49124464.666528142895.50179950908
0.5124999.9215568602904.57372294788
0.51125538.0441450212931.59235869936
0.52126082.0257910592973.86423426745
0.53126634.4081186163027.26396857744
0.54127197.1205449923087.41620901252
0.55127771.4012687003150.43660552688
0.56128357.7782580103212.47232930160
0.57128956.0856903233270.15674545578
0.58129565.4998317543320.24808074057
0.59130184.5931942633359.5560020311
0.6130811.4218763223385.34237750630
0.61131443.6726653763395.44598966041
0.62132078.8987651813388.79291706452
0.63132714.8626419303366.12811644497
0.64133349.9808533213331.40159406859
0.65133983.8315379553290.95936196343
0.66134617.6467195073254.86875371897
0.67135254.6780343823235.64140842964
0.68135900.3070792993247.01227676879
0.69136561.7811036793301.19679074767
0.7137247.4986500323404.74038190857
0.71137965.8485339833556.43015298047
0.72138723.710059493744.65289201636
0.73139524.8326373883947.58963880757
0.74140368.4006342224136.92883564729
0.75141248.1238569884281.18326898083
0.76142152.1526406154351.20841117896
0.77143063.9937750044325.23062310173
0.78143964.4182638024193.96453718163
0.79144834.1453810903962.03181706618
0.8145656.9119552933649.47657704096
0.81146422.4358915043288.85661463749
0.82147128.7770513582922.14484666392
0.83147783.6703947252595.50232449055
0.84148404.5142510512354.83876706619
0.85149016.8027630932238.07497544697
0.86149650.8988508922263.77143927629
0.87150337.2196358932419.53799517468
0.88151100.2611121242661.8812282598
0.89151952.4921079682924.71910252167
0.9152889.8898240993132.40062469645
0.91153891.3707987893216.15854547531
0.92154923.9475113913135.41607724176
0.93155953.5398127442897.69731614848
0.94156958.0557534352565.61836231401
0.95157935.8656483732237.84738307181
0.96158901.4776897151991.80631454171
0.97159863.2557860441804.59456020585
0.98160785.9010117481557.76339469337
0.99161555.6447758911217.81703626501

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 93771.8399647976 & 2132.4012126155 \tabularnewline
0.02 & 95033.2567772097 & 2405.29574235804 \tabularnewline
0.03 & 96463.1926091707 & 2644.18401306639 \tabularnewline
0.04 & 97881.9935986163 & 2840.26625300677 \tabularnewline
0.05 & 99233.1462402798 & 2994.7486933049 \tabularnewline
0.06 & 100504.937487978 & 3056.39911611848 \tabularnewline
0.07 & 101689.766528873 & 3002.21169766225 \tabularnewline
0.08 & 102779.235164692 & 2868.47292855697 \tabularnewline
0.09 & 103771.179981850 & 2719.16342574782 \tabularnewline
0.1 & 104673.563214142 & 2605.21112157831 \tabularnewline
0.11 & 105501.919513712 & 2544.71151842374 \tabularnewline
0.12 & 106273.431235405 & 2524.10541568265 \tabularnewline
0.13 & 107001.607029949 & 2514.98713861519 \tabularnewline
0.14 & 107693.72750527 & 2489.63939204845 \tabularnewline
0.15 & 108351.179956264 & 2431.07540634082 \tabularnewline
0.16 & 108971.632769002 & 2335.84871033829 \tabularnewline
0.17 & 109551.742792327 & 2211.75998633365 \tabularnewline
0.18 & 110089.38926476 & 2073.47719250809 \tabularnewline
0.19 & 110584.928048705 & 1937.73745329797 \tabularnewline
0.2 & 111041.422670665 & 1818.86358481280 \tabularnewline
0.21 & 111464.115221939 & 1725.90514629245 \tabularnewline
0.22 & 111859.521944140 & 1662.25594225924 \tabularnewline
0.23 & 112234.507743203 & 1626.76243575344 \tabularnewline
0.24 & 112595.574730801 & 1615.58573619481 \tabularnewline
0.25 & 112948.459019989 & 1624.51199086465 \tabularnewline
0.26 & 113298.016385988 & 1650.19851625383 \tabularnewline
0.27 & 113648.313205430 & 1690.28760945688 \tabularnewline
0.28 & 114002.82232785 & 1743.79553112987 \tabularnewline
0.29 & 114364.637988101 & 1810.44295408975 \tabularnewline
0.3 & 114736.650409891 & 1890.43775961968 \tabularnewline
0.31 & 115121.645588547 & 1984.43976071042 \tabularnewline
0.32 & 115522.313581538 & 2092.60375058669 \tabularnewline
0.33 & 115941.161221581 & 2214.36578546769 \tabularnewline
0.34 & 116380.337211762 & 2347.66948348217 \tabularnewline
0.35 & 116841.392467191 & 2488.90282944182 \tabularnewline
0.36 & 117325.015812514 & 2632.05178393087 \tabularnewline
0.37 & 117830.800165364 & 2769.68305346998 \tabularnewline
0.38 & 118357.100609319 & 2893.59635524566 \tabularnewline
0.39 & 118901.037961098 & 2995.87079584078 \tabularnewline
0.4 & 119458.678230216 & 3070.29893420682 \tabularnewline
0.41 & 120025.383647344 & 3113.51410386675 \tabularnewline
0.42 & 120596.293000741 & 3125.5509870815 \tabularnewline
0.43 & 121166.858024909 & 3110.26604419464 \tabularnewline
0.44 & 121733.347239215 & 3074.37237105862 \tabularnewline
0.45 & 122293.233358828 & 3026.70559341284 \tabularnewline
0.46 & 122845.403962616 & 2977.24948021625 \tabularnewline
0.47 & 123390.171117284 & 2934.6798636796 \tabularnewline
0.48 & 123929.094688597 & 2906.02249548712 \tabularnewline
0.49 & 124464.66652814 & 2895.50179950908 \tabularnewline
0.5 & 124999.921556860 & 2904.57372294788 \tabularnewline
0.51 & 125538.044145021 & 2931.59235869936 \tabularnewline
0.52 & 126082.025791059 & 2973.86423426745 \tabularnewline
0.53 & 126634.408118616 & 3027.26396857744 \tabularnewline
0.54 & 127197.120544992 & 3087.41620901252 \tabularnewline
0.55 & 127771.401268700 & 3150.43660552688 \tabularnewline
0.56 & 128357.778258010 & 3212.47232930160 \tabularnewline
0.57 & 128956.085690323 & 3270.15674545578 \tabularnewline
0.58 & 129565.499831754 & 3320.24808074057 \tabularnewline
0.59 & 130184.593194263 & 3359.5560020311 \tabularnewline
0.6 & 130811.421876322 & 3385.34237750630 \tabularnewline
0.61 & 131443.672665376 & 3395.44598966041 \tabularnewline
0.62 & 132078.898765181 & 3388.79291706452 \tabularnewline
0.63 & 132714.862641930 & 3366.12811644497 \tabularnewline
0.64 & 133349.980853321 & 3331.40159406859 \tabularnewline
0.65 & 133983.831537955 & 3290.95936196343 \tabularnewline
0.66 & 134617.646719507 & 3254.86875371897 \tabularnewline
0.67 & 135254.678034382 & 3235.64140842964 \tabularnewline
0.68 & 135900.307079299 & 3247.01227676879 \tabularnewline
0.69 & 136561.781103679 & 3301.19679074767 \tabularnewline
0.7 & 137247.498650032 & 3404.74038190857 \tabularnewline
0.71 & 137965.848533983 & 3556.43015298047 \tabularnewline
0.72 & 138723.71005949 & 3744.65289201636 \tabularnewline
0.73 & 139524.832637388 & 3947.58963880757 \tabularnewline
0.74 & 140368.400634222 & 4136.92883564729 \tabularnewline
0.75 & 141248.123856988 & 4281.18326898083 \tabularnewline
0.76 & 142152.152640615 & 4351.20841117896 \tabularnewline
0.77 & 143063.993775004 & 4325.23062310173 \tabularnewline
0.78 & 143964.418263802 & 4193.96453718163 \tabularnewline
0.79 & 144834.145381090 & 3962.03181706618 \tabularnewline
0.8 & 145656.911955293 & 3649.47657704096 \tabularnewline
0.81 & 146422.435891504 & 3288.85661463749 \tabularnewline
0.82 & 147128.777051358 & 2922.14484666392 \tabularnewline
0.83 & 147783.670394725 & 2595.50232449055 \tabularnewline
0.84 & 148404.514251051 & 2354.83876706619 \tabularnewline
0.85 & 149016.802763093 & 2238.07497544697 \tabularnewline
0.86 & 149650.898850892 & 2263.77143927629 \tabularnewline
0.87 & 150337.219635893 & 2419.53799517468 \tabularnewline
0.88 & 151100.261112124 & 2661.8812282598 \tabularnewline
0.89 & 151952.492107968 & 2924.71910252167 \tabularnewline
0.9 & 152889.889824099 & 3132.40062469645 \tabularnewline
0.91 & 153891.370798789 & 3216.15854547531 \tabularnewline
0.92 & 154923.947511391 & 3135.41607724176 \tabularnewline
0.93 & 155953.539812744 & 2897.69731614848 \tabularnewline
0.94 & 156958.055753435 & 2565.61836231401 \tabularnewline
0.95 & 157935.865648373 & 2237.84738307181 \tabularnewline
0.96 & 158901.477689715 & 1991.80631454171 \tabularnewline
0.97 & 159863.255786044 & 1804.59456020585 \tabularnewline
0.98 & 160785.901011748 & 1557.76339469337 \tabularnewline
0.99 & 161555.644775891 & 1217.81703626501 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9404&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]93771.8399647976[/C][C]2132.4012126155[/C][/ROW]
[ROW][C]0.02[/C][C]95033.2567772097[/C][C]2405.29574235804[/C][/ROW]
[ROW][C]0.03[/C][C]96463.1926091707[/C][C]2644.18401306639[/C][/ROW]
[ROW][C]0.04[/C][C]97881.9935986163[/C][C]2840.26625300677[/C][/ROW]
[ROW][C]0.05[/C][C]99233.1462402798[/C][C]2994.7486933049[/C][/ROW]
[ROW][C]0.06[/C][C]100504.937487978[/C][C]3056.39911611848[/C][/ROW]
[ROW][C]0.07[/C][C]101689.766528873[/C][C]3002.21169766225[/C][/ROW]
[ROW][C]0.08[/C][C]102779.235164692[/C][C]2868.47292855697[/C][/ROW]
[ROW][C]0.09[/C][C]103771.179981850[/C][C]2719.16342574782[/C][/ROW]
[ROW][C]0.1[/C][C]104673.563214142[/C][C]2605.21112157831[/C][/ROW]
[ROW][C]0.11[/C][C]105501.919513712[/C][C]2544.71151842374[/C][/ROW]
[ROW][C]0.12[/C][C]106273.431235405[/C][C]2524.10541568265[/C][/ROW]
[ROW][C]0.13[/C][C]107001.607029949[/C][C]2514.98713861519[/C][/ROW]
[ROW][C]0.14[/C][C]107693.72750527[/C][C]2489.63939204845[/C][/ROW]
[ROW][C]0.15[/C][C]108351.179956264[/C][C]2431.07540634082[/C][/ROW]
[ROW][C]0.16[/C][C]108971.632769002[/C][C]2335.84871033829[/C][/ROW]
[ROW][C]0.17[/C][C]109551.742792327[/C][C]2211.75998633365[/C][/ROW]
[ROW][C]0.18[/C][C]110089.38926476[/C][C]2073.47719250809[/C][/ROW]
[ROW][C]0.19[/C][C]110584.928048705[/C][C]1937.73745329797[/C][/ROW]
[ROW][C]0.2[/C][C]111041.422670665[/C][C]1818.86358481280[/C][/ROW]
[ROW][C]0.21[/C][C]111464.115221939[/C][C]1725.90514629245[/C][/ROW]
[ROW][C]0.22[/C][C]111859.521944140[/C][C]1662.25594225924[/C][/ROW]
[ROW][C]0.23[/C][C]112234.507743203[/C][C]1626.76243575344[/C][/ROW]
[ROW][C]0.24[/C][C]112595.574730801[/C][C]1615.58573619481[/C][/ROW]
[ROW][C]0.25[/C][C]112948.459019989[/C][C]1624.51199086465[/C][/ROW]
[ROW][C]0.26[/C][C]113298.016385988[/C][C]1650.19851625383[/C][/ROW]
[ROW][C]0.27[/C][C]113648.313205430[/C][C]1690.28760945688[/C][/ROW]
[ROW][C]0.28[/C][C]114002.82232785[/C][C]1743.79553112987[/C][/ROW]
[ROW][C]0.29[/C][C]114364.637988101[/C][C]1810.44295408975[/C][/ROW]
[ROW][C]0.3[/C][C]114736.650409891[/C][C]1890.43775961968[/C][/ROW]
[ROW][C]0.31[/C][C]115121.645588547[/C][C]1984.43976071042[/C][/ROW]
[ROW][C]0.32[/C][C]115522.313581538[/C][C]2092.60375058669[/C][/ROW]
[ROW][C]0.33[/C][C]115941.161221581[/C][C]2214.36578546769[/C][/ROW]
[ROW][C]0.34[/C][C]116380.337211762[/C][C]2347.66948348217[/C][/ROW]
[ROW][C]0.35[/C][C]116841.392467191[/C][C]2488.90282944182[/C][/ROW]
[ROW][C]0.36[/C][C]117325.015812514[/C][C]2632.05178393087[/C][/ROW]
[ROW][C]0.37[/C][C]117830.800165364[/C][C]2769.68305346998[/C][/ROW]
[ROW][C]0.38[/C][C]118357.100609319[/C][C]2893.59635524566[/C][/ROW]
[ROW][C]0.39[/C][C]118901.037961098[/C][C]2995.87079584078[/C][/ROW]
[ROW][C]0.4[/C][C]119458.678230216[/C][C]3070.29893420682[/C][/ROW]
[ROW][C]0.41[/C][C]120025.383647344[/C][C]3113.51410386675[/C][/ROW]
[ROW][C]0.42[/C][C]120596.293000741[/C][C]3125.5509870815[/C][/ROW]
[ROW][C]0.43[/C][C]121166.858024909[/C][C]3110.26604419464[/C][/ROW]
[ROW][C]0.44[/C][C]121733.347239215[/C][C]3074.37237105862[/C][/ROW]
[ROW][C]0.45[/C][C]122293.233358828[/C][C]3026.70559341284[/C][/ROW]
[ROW][C]0.46[/C][C]122845.403962616[/C][C]2977.24948021625[/C][/ROW]
[ROW][C]0.47[/C][C]123390.171117284[/C][C]2934.6798636796[/C][/ROW]
[ROW][C]0.48[/C][C]123929.094688597[/C][C]2906.02249548712[/C][/ROW]
[ROW][C]0.49[/C][C]124464.66652814[/C][C]2895.50179950908[/C][/ROW]
[ROW][C]0.5[/C][C]124999.921556860[/C][C]2904.57372294788[/C][/ROW]
[ROW][C]0.51[/C][C]125538.044145021[/C][C]2931.59235869936[/C][/ROW]
[ROW][C]0.52[/C][C]126082.025791059[/C][C]2973.86423426745[/C][/ROW]
[ROW][C]0.53[/C][C]126634.408118616[/C][C]3027.26396857744[/C][/ROW]
[ROW][C]0.54[/C][C]127197.120544992[/C][C]3087.41620901252[/C][/ROW]
[ROW][C]0.55[/C][C]127771.401268700[/C][C]3150.43660552688[/C][/ROW]
[ROW][C]0.56[/C][C]128357.778258010[/C][C]3212.47232930160[/C][/ROW]
[ROW][C]0.57[/C][C]128956.085690323[/C][C]3270.15674545578[/C][/ROW]
[ROW][C]0.58[/C][C]129565.499831754[/C][C]3320.24808074057[/C][/ROW]
[ROW][C]0.59[/C][C]130184.593194263[/C][C]3359.5560020311[/C][/ROW]
[ROW][C]0.6[/C][C]130811.421876322[/C][C]3385.34237750630[/C][/ROW]
[ROW][C]0.61[/C][C]131443.672665376[/C][C]3395.44598966041[/C][/ROW]
[ROW][C]0.62[/C][C]132078.898765181[/C][C]3388.79291706452[/C][/ROW]
[ROW][C]0.63[/C][C]132714.862641930[/C][C]3366.12811644497[/C][/ROW]
[ROW][C]0.64[/C][C]133349.980853321[/C][C]3331.40159406859[/C][/ROW]
[ROW][C]0.65[/C][C]133983.831537955[/C][C]3290.95936196343[/C][/ROW]
[ROW][C]0.66[/C][C]134617.646719507[/C][C]3254.86875371897[/C][/ROW]
[ROW][C]0.67[/C][C]135254.678034382[/C][C]3235.64140842964[/C][/ROW]
[ROW][C]0.68[/C][C]135900.307079299[/C][C]3247.01227676879[/C][/ROW]
[ROW][C]0.69[/C][C]136561.781103679[/C][C]3301.19679074767[/C][/ROW]
[ROW][C]0.7[/C][C]137247.498650032[/C][C]3404.74038190857[/C][/ROW]
[ROW][C]0.71[/C][C]137965.848533983[/C][C]3556.43015298047[/C][/ROW]
[ROW][C]0.72[/C][C]138723.71005949[/C][C]3744.65289201636[/C][/ROW]
[ROW][C]0.73[/C][C]139524.832637388[/C][C]3947.58963880757[/C][/ROW]
[ROW][C]0.74[/C][C]140368.400634222[/C][C]4136.92883564729[/C][/ROW]
[ROW][C]0.75[/C][C]141248.123856988[/C][C]4281.18326898083[/C][/ROW]
[ROW][C]0.76[/C][C]142152.152640615[/C][C]4351.20841117896[/C][/ROW]
[ROW][C]0.77[/C][C]143063.993775004[/C][C]4325.23062310173[/C][/ROW]
[ROW][C]0.78[/C][C]143964.418263802[/C][C]4193.96453718163[/C][/ROW]
[ROW][C]0.79[/C][C]144834.145381090[/C][C]3962.03181706618[/C][/ROW]
[ROW][C]0.8[/C][C]145656.911955293[/C][C]3649.47657704096[/C][/ROW]
[ROW][C]0.81[/C][C]146422.435891504[/C][C]3288.85661463749[/C][/ROW]
[ROW][C]0.82[/C][C]147128.777051358[/C][C]2922.14484666392[/C][/ROW]
[ROW][C]0.83[/C][C]147783.670394725[/C][C]2595.50232449055[/C][/ROW]
[ROW][C]0.84[/C][C]148404.514251051[/C][C]2354.83876706619[/C][/ROW]
[ROW][C]0.85[/C][C]149016.802763093[/C][C]2238.07497544697[/C][/ROW]
[ROW][C]0.86[/C][C]149650.898850892[/C][C]2263.77143927629[/C][/ROW]
[ROW][C]0.87[/C][C]150337.219635893[/C][C]2419.53799517468[/C][/ROW]
[ROW][C]0.88[/C][C]151100.261112124[/C][C]2661.8812282598[/C][/ROW]
[ROW][C]0.89[/C][C]151952.492107968[/C][C]2924.71910252167[/C][/ROW]
[ROW][C]0.9[/C][C]152889.889824099[/C][C]3132.40062469645[/C][/ROW]
[ROW][C]0.91[/C][C]153891.370798789[/C][C]3216.15854547531[/C][/ROW]
[ROW][C]0.92[/C][C]154923.947511391[/C][C]3135.41607724176[/C][/ROW]
[ROW][C]0.93[/C][C]155953.539812744[/C][C]2897.69731614848[/C][/ROW]
[ROW][C]0.94[/C][C]156958.055753435[/C][C]2565.61836231401[/C][/ROW]
[ROW][C]0.95[/C][C]157935.865648373[/C][C]2237.84738307181[/C][/ROW]
[ROW][C]0.96[/C][C]158901.477689715[/C][C]1991.80631454171[/C][/ROW]
[ROW][C]0.97[/C][C]159863.255786044[/C][C]1804.59456020585[/C][/ROW]
[ROW][C]0.98[/C][C]160785.901011748[/C][C]1557.76339469337[/C][/ROW]
[ROW][C]0.99[/C][C]161555.644775891[/C][C]1217.81703626501[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9404&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9404&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
0.0193771.83996479762132.4012126155
0.0295033.25677720972405.29574235804
0.0396463.19260917072644.18401306639
0.0497881.99359861632840.26625300677
0.0599233.14624027982994.7486933049
0.06100504.9374879783056.39911611848
0.07101689.7665288733002.21169766225
0.08102779.2351646922868.47292855697
0.09103771.1799818502719.16342574782
0.1104673.5632141422605.21112157831
0.11105501.9195137122544.71151842374
0.12106273.4312354052524.10541568265
0.13107001.6070299492514.98713861519
0.14107693.727505272489.63939204845
0.15108351.1799562642431.07540634082
0.16108971.6327690022335.84871033829
0.17109551.7427923272211.75998633365
0.18110089.389264762073.47719250809
0.19110584.9280487051937.73745329797
0.2111041.4226706651818.86358481280
0.21111464.1152219391725.90514629245
0.22111859.5219441401662.25594225924
0.23112234.5077432031626.76243575344
0.24112595.5747308011615.58573619481
0.25112948.4590199891624.51199086465
0.26113298.0163859881650.19851625383
0.27113648.3132054301690.28760945688
0.28114002.822327851743.79553112987
0.29114364.6379881011810.44295408975
0.3114736.6504098911890.43775961968
0.31115121.6455885471984.43976071042
0.32115522.3135815382092.60375058669
0.33115941.1612215812214.36578546769
0.34116380.3372117622347.66948348217
0.35116841.3924671912488.90282944182
0.36117325.0158125142632.05178393087
0.37117830.8001653642769.68305346998
0.38118357.1006093192893.59635524566
0.39118901.0379610982995.87079584078
0.4119458.6782302163070.29893420682
0.41120025.3836473443113.51410386675
0.42120596.2930007413125.5509870815
0.43121166.8580249093110.26604419464
0.44121733.3472392153074.37237105862
0.45122293.2333588283026.70559341284
0.46122845.4039626162977.24948021625
0.47123390.1711172842934.6798636796
0.48123929.0946885972906.02249548712
0.49124464.666528142895.50179950908
0.5124999.9215568602904.57372294788
0.51125538.0441450212931.59235869936
0.52126082.0257910592973.86423426745
0.53126634.4081186163027.26396857744
0.54127197.1205449923087.41620901252
0.55127771.4012687003150.43660552688
0.56128357.7782580103212.47232930160
0.57128956.0856903233270.15674545578
0.58129565.4998317543320.24808074057
0.59130184.5931942633359.5560020311
0.6130811.4218763223385.34237750630
0.61131443.6726653763395.44598966041
0.62132078.8987651813388.79291706452
0.63132714.8626419303366.12811644497
0.64133349.9808533213331.40159406859
0.65133983.8315379553290.95936196343
0.66134617.6467195073254.86875371897
0.67135254.6780343823235.64140842964
0.68135900.3070792993247.01227676879
0.69136561.7811036793301.19679074767
0.7137247.4986500323404.74038190857
0.71137965.8485339833556.43015298047
0.72138723.710059493744.65289201636
0.73139524.8326373883947.58963880757
0.74140368.4006342224136.92883564729
0.75141248.1238569884281.18326898083
0.76142152.1526406154351.20841117896
0.77143063.9937750044325.23062310173
0.78143964.4182638024193.96453718163
0.79144834.1453810903962.03181706618
0.8145656.9119552933649.47657704096
0.81146422.4358915043288.85661463749
0.82147128.7770513582922.14484666392
0.83147783.6703947252595.50232449055
0.84148404.5142510512354.83876706619
0.85149016.8027630932238.07497544697
0.86149650.8988508922263.77143927629
0.87150337.2196358932419.53799517468
0.88151100.2611121242661.8812282598
0.89151952.4921079682924.71910252167
0.9152889.8898240993132.40062469645
0.91153891.3707987893216.15854547531
0.92154923.9475113913135.41607724176
0.93155953.5398127442897.69731614848
0.94156958.0557534352565.61836231401
0.95157935.8656483732237.84738307181
0.96158901.4776897151991.80631454171
0.97159863.2557860441804.59456020585
0.98160785.9010117481557.76339469337
0.99161555.6447758911217.81703626501


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')