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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 19 Oct 2008 13:29:56 -0600
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/Oct/19/t1224444630p7i0rltlowee1d8.htm/, Retrieved Fri, 17 May 2024 05:47:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17084, Retrieved Fri, 17 May 2024 05:47:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact152

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [blog 1e tijdreeks...] [2008-10-13 19:23:31] [7173087adebe3e3a714c80ea2417b3eb]
-   PD  [Univariate Data Series] [tijdreeksen opnie...] [2008-10-19 17:18:46] [7173087adebe3e3a714c80ea2417b3eb]
- RMP       [Harrell-Davis Quantiles] [harrel and davis ...] [2008-10-19 19:29:56] [95d95b0e883740fcbc85e18ec42dcafb] [Current]
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Dataset

Dataseries X:
Download CSV
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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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17084&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17084&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17084&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011821.9186216195883.6667571416677
0.021854.0918236904969.0952172362349
0.031888.7404284587065.6239013866451
0.041922.7900474852374.1875974938646
0.051956.6824737141188.7603607977423
0.061991.79147284027104.968096323902
0.072028.97822524704120.614204855755
0.082068.28386536450134.040730922796
0.092109.10155364634143.657986923412
0.12150.429443372148.261458959422
0.112191.09961574628147.410529073336
0.122229.98250536072141.548707873675
0.132266.16226178340131.886767795542
0.142299.06099717959120.114917045447
0.152328.49244243183108.077213935695
0.162354.6425212611597.4823696994683
0.172377.9919053081189.6636881049093
0.182399.2055829898885.3707958710262
0.192419.0155909912484.6700694983319
0.22438.1178345716287.0044889938882
0.212457.0958117132691.4668742778638
0.222476.3759180447797.0698342410595
0.232496.21260661429102.932008659284
0.242516.6976960761108.336084932525
0.252537.78643908049112.747624023092
0.262559.33299503242115.830399389817
0.272581.12898569653117.424218541109
0.282602.94024916017117.544385226020
0.292624.53837130372116.338507218938
0.32645.72490155637114.075826585172
0.312666.34732129530111.073554169393
0.322686.30683831912107.675577850275
0.332705.55891765240104.201557915737
0.342724.10808136867100.922014561695
0.352741.9988614494198.029107276152
0.362759.3048390631595.6463431327968
0.372776.1174717604793.8230767445671
0.382792.5359722031392.5581151003064
0.392808.6589694886291.8102593247205
0.42824.5781745421591.5142036081022
0.412840.3738799564391.5902306391481
0.422856.1119071904091.9569147069198
0.432871.8415797368292.5130043176102
0.442887.5944195097193.1628107155825
0.452903.3834775435293.794881669748
0.462919.2034482316294.2980262092973
0.472935.0319084116194.5692222940482
0.482950.8321107734494.5063870986323
0.492966.55770966194.048946410954
0.52982.1595997216693.172746422493
0.512997.5947291793991.9154092210195
0.523012.8363640235590.3878510155155
0.533027.8849015800788.7748733701088
0.543042.7780419369187.3456333576983
0.553057.5989917187286.4295762312875
0.563072.4814360508386.3964983412253
0.573087.6102702139687.614886331808
0.583103.2174893108690.4089745395696
0.593119.5731167252294.988795981601
0.63136.97152265378101.448530601873
0.613155.71386883358109.716275215832
0.623176.08767883016119.597582074331
0.633198.34468962384130.763524787379
0.643222.6782499638142.788031965113
0.653249.20167450428155.139222536335
0.663277.92920049893167.208056177501
0.673308.76152359172178.326721393462
0.683341.47821874861187.800767984333
0.693375.73950377158194.956612207495
0.73411.0995577595199.217823318136
0.713447.03278670084200.165454891847
0.723482.97298736402197.615700965735
0.733518.36345681658191.676094782482
0.743552.71410110865182.775260241497
0.753585.66002734179171.662520548566
0.763617.01546001931159.370097739802
0.773646.81739600955147.153439467998
0.783675.3551093038136.407732437879
0.793703.18388952455128.580314158372
0.83731.1233420025125.045268597029
0.813760.24121602677126.950253697952
0.823791.82245349947135.042455533656
0.833827.32021242142149.591052287675
0.843868.28248762052170.378081926208
0.853916.24728765014196.66862801711
0.863972.6042646758227.118708061570
0.874038.43320477784259.661856435444
0.884114.34837653156291.534596315333
0.894200.39564472444319.574469477786
0.94296.05544368624340.811618548796
0.914400.39000510573353.258630011979
0.924512.34058955206356.585761087192
0.934631.14860912792352.216770187954
0.944756.85157761474342.618846061826
0.954890.71393562078330.358967832583
0.965035.07232517259318.543547231751
0.975191.2595230098313.693199829880
0.985353.84334198199326.448732426658
0.995502.26513527559359.566718028516

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1821.91862161958 & 83.6667571416677 \tabularnewline
0.02 & 1854.09182369049 & 69.0952172362349 \tabularnewline
0.03 & 1888.74042845870 & 65.6239013866451 \tabularnewline
0.04 & 1922.79004748523 & 74.1875974938646 \tabularnewline
0.05 & 1956.68247371411 & 88.7603607977423 \tabularnewline
0.06 & 1991.79147284027 & 104.968096323902 \tabularnewline
0.07 & 2028.97822524704 & 120.614204855755 \tabularnewline
0.08 & 2068.28386536450 & 134.040730922796 \tabularnewline
0.09 & 2109.10155364634 & 143.657986923412 \tabularnewline
0.1 & 2150.429443372 & 148.261458959422 \tabularnewline
0.11 & 2191.09961574628 & 147.410529073336 \tabularnewline
0.12 & 2229.98250536072 & 141.548707873675 \tabularnewline
0.13 & 2266.16226178340 & 131.886767795542 \tabularnewline
0.14 & 2299.06099717959 & 120.114917045447 \tabularnewline
0.15 & 2328.49244243183 & 108.077213935695 \tabularnewline
0.16 & 2354.64252126115 & 97.4823696994683 \tabularnewline
0.17 & 2377.99190530811 & 89.6636881049093 \tabularnewline
0.18 & 2399.20558298988 & 85.3707958710262 \tabularnewline
0.19 & 2419.01559099124 & 84.6700694983319 \tabularnewline
0.2 & 2438.11783457162 & 87.0044889938882 \tabularnewline
0.21 & 2457.09581171326 & 91.4668742778638 \tabularnewline
0.22 & 2476.37591804477 & 97.0698342410595 \tabularnewline
0.23 & 2496.21260661429 & 102.932008659284 \tabularnewline
0.24 & 2516.6976960761 & 108.336084932525 \tabularnewline
0.25 & 2537.78643908049 & 112.747624023092 \tabularnewline
0.26 & 2559.33299503242 & 115.830399389817 \tabularnewline
0.27 & 2581.12898569653 & 117.424218541109 \tabularnewline
0.28 & 2602.94024916017 & 117.544385226020 \tabularnewline
0.29 & 2624.53837130372 & 116.338507218938 \tabularnewline
0.3 & 2645.72490155637 & 114.075826585172 \tabularnewline
0.31 & 2666.34732129530 & 111.073554169393 \tabularnewline
0.32 & 2686.30683831912 & 107.675577850275 \tabularnewline
0.33 & 2705.55891765240 & 104.201557915737 \tabularnewline
0.34 & 2724.10808136867 & 100.922014561695 \tabularnewline
0.35 & 2741.99886144941 & 98.029107276152 \tabularnewline
0.36 & 2759.30483906315 & 95.6463431327968 \tabularnewline
0.37 & 2776.11747176047 & 93.8230767445671 \tabularnewline
0.38 & 2792.53597220313 & 92.5581151003064 \tabularnewline
0.39 & 2808.65896948862 & 91.8102593247205 \tabularnewline
0.4 & 2824.57817454215 & 91.5142036081022 \tabularnewline
0.41 & 2840.37387995643 & 91.5902306391481 \tabularnewline
0.42 & 2856.11190719040 & 91.9569147069198 \tabularnewline
0.43 & 2871.84157973682 & 92.5130043176102 \tabularnewline
0.44 & 2887.59441950971 & 93.1628107155825 \tabularnewline
0.45 & 2903.38347754352 & 93.794881669748 \tabularnewline
0.46 & 2919.20344823162 & 94.2980262092973 \tabularnewline
0.47 & 2935.03190841161 & 94.5692222940482 \tabularnewline
0.48 & 2950.83211077344 & 94.5063870986323 \tabularnewline
0.49 & 2966.557709661 & 94.048946410954 \tabularnewline
0.5 & 2982.15959972166 & 93.172746422493 \tabularnewline
0.51 & 2997.59472917939 & 91.9154092210195 \tabularnewline
0.52 & 3012.83636402355 & 90.3878510155155 \tabularnewline
0.53 & 3027.88490158007 & 88.7748733701088 \tabularnewline
0.54 & 3042.77804193691 & 87.3456333576983 \tabularnewline
0.55 & 3057.59899171872 & 86.4295762312875 \tabularnewline
0.56 & 3072.48143605083 & 86.3964983412253 \tabularnewline
0.57 & 3087.61027021396 & 87.614886331808 \tabularnewline
0.58 & 3103.21748931086 & 90.4089745395696 \tabularnewline
0.59 & 3119.57311672522 & 94.988795981601 \tabularnewline
0.6 & 3136.97152265378 & 101.448530601873 \tabularnewline
0.61 & 3155.71386883358 & 109.716275215832 \tabularnewline
0.62 & 3176.08767883016 & 119.597582074331 \tabularnewline
0.63 & 3198.34468962384 & 130.763524787379 \tabularnewline
0.64 & 3222.6782499638 & 142.788031965113 \tabularnewline
0.65 & 3249.20167450428 & 155.139222536335 \tabularnewline
0.66 & 3277.92920049893 & 167.208056177501 \tabularnewline
0.67 & 3308.76152359172 & 178.326721393462 \tabularnewline
0.68 & 3341.47821874861 & 187.800767984333 \tabularnewline
0.69 & 3375.73950377158 & 194.956612207495 \tabularnewline
0.7 & 3411.0995577595 & 199.217823318136 \tabularnewline
0.71 & 3447.03278670084 & 200.165454891847 \tabularnewline
0.72 & 3482.97298736402 & 197.615700965735 \tabularnewline
0.73 & 3518.36345681658 & 191.676094782482 \tabularnewline
0.74 & 3552.71410110865 & 182.775260241497 \tabularnewline
0.75 & 3585.66002734179 & 171.662520548566 \tabularnewline
0.76 & 3617.01546001931 & 159.370097739802 \tabularnewline
0.77 & 3646.81739600955 & 147.153439467998 \tabularnewline
0.78 & 3675.3551093038 & 136.407732437879 \tabularnewline
0.79 & 3703.18388952455 & 128.580314158372 \tabularnewline
0.8 & 3731.1233420025 & 125.045268597029 \tabularnewline
0.81 & 3760.24121602677 & 126.950253697952 \tabularnewline
0.82 & 3791.82245349947 & 135.042455533656 \tabularnewline
0.83 & 3827.32021242142 & 149.591052287675 \tabularnewline
0.84 & 3868.28248762052 & 170.378081926208 \tabularnewline
0.85 & 3916.24728765014 & 196.66862801711 \tabularnewline
0.86 & 3972.6042646758 & 227.118708061570 \tabularnewline
0.87 & 4038.43320477784 & 259.661856435444 \tabularnewline
0.88 & 4114.34837653156 & 291.534596315333 \tabularnewline
0.89 & 4200.39564472444 & 319.574469477786 \tabularnewline
0.9 & 4296.05544368624 & 340.811618548796 \tabularnewline
0.91 & 4400.39000510573 & 353.258630011979 \tabularnewline
0.92 & 4512.34058955206 & 356.585761087192 \tabularnewline
0.93 & 4631.14860912792 & 352.216770187954 \tabularnewline
0.94 & 4756.85157761474 & 342.618846061826 \tabularnewline
0.95 & 4890.71393562078 & 330.358967832583 \tabularnewline
0.96 & 5035.07232517259 & 318.543547231751 \tabularnewline
0.97 & 5191.2595230098 & 313.693199829880 \tabularnewline
0.98 & 5353.84334198199 & 326.448732426658 \tabularnewline
0.99 & 5502.26513527559 & 359.566718028516 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17084&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]1821.91862161958[/C][C]83.6667571416677[/C][/ROW]
[ROW][C]0.02[/C][C]1854.09182369049[/C][C]69.0952172362349[/C][/ROW]
[ROW][C]0.03[/C][C]1888.74042845870[/C][C]65.6239013866451[/C][/ROW]
[ROW][C]0.04[/C][C]1922.79004748523[/C][C]74.1875974938646[/C][/ROW]
[ROW][C]0.05[/C][C]1956.68247371411[/C][C]88.7603607977423[/C][/ROW]
[ROW][C]0.06[/C][C]1991.79147284027[/C][C]104.968096323902[/C][/ROW]
[ROW][C]0.07[/C][C]2028.97822524704[/C][C]120.614204855755[/C][/ROW]
[ROW][C]0.08[/C][C]2068.28386536450[/C][C]134.040730922796[/C][/ROW]
[ROW][C]0.09[/C][C]2109.10155364634[/C][C]143.657986923412[/C][/ROW]
[ROW][C]0.1[/C][C]2150.429443372[/C][C]148.261458959422[/C][/ROW]
[ROW][C]0.11[/C][C]2191.09961574628[/C][C]147.410529073336[/C][/ROW]
[ROW][C]0.12[/C][C]2229.98250536072[/C][C]141.548707873675[/C][/ROW]
[ROW][C]0.13[/C][C]2266.16226178340[/C][C]131.886767795542[/C][/ROW]
[ROW][C]0.14[/C][C]2299.06099717959[/C][C]120.114917045447[/C][/ROW]
[ROW][C]0.15[/C][C]2328.49244243183[/C][C]108.077213935695[/C][/ROW]
[ROW][C]0.16[/C][C]2354.64252126115[/C][C]97.4823696994683[/C][/ROW]
[ROW][C]0.17[/C][C]2377.99190530811[/C][C]89.6636881049093[/C][/ROW]
[ROW][C]0.18[/C][C]2399.20558298988[/C][C]85.3707958710262[/C][/ROW]
[ROW][C]0.19[/C][C]2419.01559099124[/C][C]84.6700694983319[/C][/ROW]
[ROW][C]0.2[/C][C]2438.11783457162[/C][C]87.0044889938882[/C][/ROW]
[ROW][C]0.21[/C][C]2457.09581171326[/C][C]91.4668742778638[/C][/ROW]
[ROW][C]0.22[/C][C]2476.37591804477[/C][C]97.0698342410595[/C][/ROW]
[ROW][C]0.23[/C][C]2496.21260661429[/C][C]102.932008659284[/C][/ROW]
[ROW][C]0.24[/C][C]2516.6976960761[/C][C]108.336084932525[/C][/ROW]
[ROW][C]0.25[/C][C]2537.78643908049[/C][C]112.747624023092[/C][/ROW]
[ROW][C]0.26[/C][C]2559.33299503242[/C][C]115.830399389817[/C][/ROW]
[ROW][C]0.27[/C][C]2581.12898569653[/C][C]117.424218541109[/C][/ROW]
[ROW][C]0.28[/C][C]2602.94024916017[/C][C]117.544385226020[/C][/ROW]
[ROW][C]0.29[/C][C]2624.53837130372[/C][C]116.338507218938[/C][/ROW]
[ROW][C]0.3[/C][C]2645.72490155637[/C][C]114.075826585172[/C][/ROW]
[ROW][C]0.31[/C][C]2666.34732129530[/C][C]111.073554169393[/C][/ROW]
[ROW][C]0.32[/C][C]2686.30683831912[/C][C]107.675577850275[/C][/ROW]
[ROW][C]0.33[/C][C]2705.55891765240[/C][C]104.201557915737[/C][/ROW]
[ROW][C]0.34[/C][C]2724.10808136867[/C][C]100.922014561695[/C][/ROW]
[ROW][C]0.35[/C][C]2741.99886144941[/C][C]98.029107276152[/C][/ROW]
[ROW][C]0.36[/C][C]2759.30483906315[/C][C]95.6463431327968[/C][/ROW]
[ROW][C]0.37[/C][C]2776.11747176047[/C][C]93.8230767445671[/C][/ROW]
[ROW][C]0.38[/C][C]2792.53597220313[/C][C]92.5581151003064[/C][/ROW]
[ROW][C]0.39[/C][C]2808.65896948862[/C][C]91.8102593247205[/C][/ROW]
[ROW][C]0.4[/C][C]2824.57817454215[/C][C]91.5142036081022[/C][/ROW]
[ROW][C]0.41[/C][C]2840.37387995643[/C][C]91.5902306391481[/C][/ROW]
[ROW][C]0.42[/C][C]2856.11190719040[/C][C]91.9569147069198[/C][/ROW]
[ROW][C]0.43[/C][C]2871.84157973682[/C][C]92.5130043176102[/C][/ROW]
[ROW][C]0.44[/C][C]2887.59441950971[/C][C]93.1628107155825[/C][/ROW]
[ROW][C]0.45[/C][C]2903.38347754352[/C][C]93.794881669748[/C][/ROW]
[ROW][C]0.46[/C][C]2919.20344823162[/C][C]94.2980262092973[/C][/ROW]
[ROW][C]0.47[/C][C]2935.03190841161[/C][C]94.5692222940482[/C][/ROW]
[ROW][C]0.48[/C][C]2950.83211077344[/C][C]94.5063870986323[/C][/ROW]
[ROW][C]0.49[/C][C]2966.557709661[/C][C]94.048946410954[/C][/ROW]
[ROW][C]0.5[/C][C]2982.15959972166[/C][C]93.172746422493[/C][/ROW]
[ROW][C]0.51[/C][C]2997.59472917939[/C][C]91.9154092210195[/C][/ROW]
[ROW][C]0.52[/C][C]3012.83636402355[/C][C]90.3878510155155[/C][/ROW]
[ROW][C]0.53[/C][C]3027.88490158007[/C][C]88.7748733701088[/C][/ROW]
[ROW][C]0.54[/C][C]3042.77804193691[/C][C]87.3456333576983[/C][/ROW]
[ROW][C]0.55[/C][C]3057.59899171872[/C][C]86.4295762312875[/C][/ROW]
[ROW][C]0.56[/C][C]3072.48143605083[/C][C]86.3964983412253[/C][/ROW]
[ROW][C]0.57[/C][C]3087.61027021396[/C][C]87.614886331808[/C][/ROW]
[ROW][C]0.58[/C][C]3103.21748931086[/C][C]90.4089745395696[/C][/ROW]
[ROW][C]0.59[/C][C]3119.57311672522[/C][C]94.988795981601[/C][/ROW]
[ROW][C]0.6[/C][C]3136.97152265378[/C][C]101.448530601873[/C][/ROW]
[ROW][C]0.61[/C][C]3155.71386883358[/C][C]109.716275215832[/C][/ROW]
[ROW][C]0.62[/C][C]3176.08767883016[/C][C]119.597582074331[/C][/ROW]
[ROW][C]0.63[/C][C]3198.34468962384[/C][C]130.763524787379[/C][/ROW]
[ROW][C]0.64[/C][C]3222.6782499638[/C][C]142.788031965113[/C][/ROW]
[ROW][C]0.65[/C][C]3249.20167450428[/C][C]155.139222536335[/C][/ROW]
[ROW][C]0.66[/C][C]3277.92920049893[/C][C]167.208056177501[/C][/ROW]
[ROW][C]0.67[/C][C]3308.76152359172[/C][C]178.326721393462[/C][/ROW]
[ROW][C]0.68[/C][C]3341.47821874861[/C][C]187.800767984333[/C][/ROW]
[ROW][C]0.69[/C][C]3375.73950377158[/C][C]194.956612207495[/C][/ROW]
[ROW][C]0.7[/C][C]3411.0995577595[/C][C]199.217823318136[/C][/ROW]
[ROW][C]0.71[/C][C]3447.03278670084[/C][C]200.165454891847[/C][/ROW]
[ROW][C]0.72[/C][C]3482.97298736402[/C][C]197.615700965735[/C][/ROW]
[ROW][C]0.73[/C][C]3518.36345681658[/C][C]191.676094782482[/C][/ROW]
[ROW][C]0.74[/C][C]3552.71410110865[/C][C]182.775260241497[/C][/ROW]
[ROW][C]0.75[/C][C]3585.66002734179[/C][C]171.662520548566[/C][/ROW]
[ROW][C]0.76[/C][C]3617.01546001931[/C][C]159.370097739802[/C][/ROW]
[ROW][C]0.77[/C][C]3646.81739600955[/C][C]147.153439467998[/C][/ROW]
[ROW][C]0.78[/C][C]3675.3551093038[/C][C]136.407732437879[/C][/ROW]
[ROW][C]0.79[/C][C]3703.18388952455[/C][C]128.580314158372[/C][/ROW]
[ROW][C]0.8[/C][C]3731.1233420025[/C][C]125.045268597029[/C][/ROW]
[ROW][C]0.81[/C][C]3760.24121602677[/C][C]126.950253697952[/C][/ROW]
[ROW][C]0.82[/C][C]3791.82245349947[/C][C]135.042455533656[/C][/ROW]
[ROW][C]0.83[/C][C]3827.32021242142[/C][C]149.591052287675[/C][/ROW]
[ROW][C]0.84[/C][C]3868.28248762052[/C][C]170.378081926208[/C][/ROW]
[ROW][C]0.85[/C][C]3916.24728765014[/C][C]196.66862801711[/C][/ROW]
[ROW][C]0.86[/C][C]3972.6042646758[/C][C]227.118708061570[/C][/ROW]
[ROW][C]0.87[/C][C]4038.43320477784[/C][C]259.661856435444[/C][/ROW]
[ROW][C]0.88[/C][C]4114.34837653156[/C][C]291.534596315333[/C][/ROW]
[ROW][C]0.89[/C][C]4200.39564472444[/C][C]319.574469477786[/C][/ROW]
[ROW][C]0.9[/C][C]4296.05544368624[/C][C]340.811618548796[/C][/ROW]
[ROW][C]0.91[/C][C]4400.39000510573[/C][C]353.258630011979[/C][/ROW]
[ROW][C]0.92[/C][C]4512.34058955206[/C][C]356.585761087192[/C][/ROW]
[ROW][C]0.93[/C][C]4631.14860912792[/C][C]352.216770187954[/C][/ROW]
[ROW][C]0.94[/C][C]4756.85157761474[/C][C]342.618846061826[/C][/ROW]
[ROW][C]0.95[/C][C]4890.71393562078[/C][C]330.358967832583[/C][/ROW]
[ROW][C]0.96[/C][C]5035.07232517259[/C][C]318.543547231751[/C][/ROW]
[ROW][C]0.97[/C][C]5191.2595230098[/C][C]313.693199829880[/C][/ROW]
[ROW][C]0.98[/C][C]5353.84334198199[/C][C]326.448732426658[/C][/ROW]
[ROW][C]0.99[/C][C]5502.26513527559[/C][C]359.566718028516[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17084&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17084&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
0.011821.9186216195883.6667571416677
0.021854.0918236904969.0952172362349
0.031888.7404284587065.6239013866451
0.041922.7900474852374.1875974938646
0.051956.6824737141188.7603607977423
0.061991.79147284027104.968096323902
0.072028.97822524704120.614204855755
0.082068.28386536450134.040730922796
0.092109.10155364634143.657986923412
0.12150.429443372148.261458959422
0.112191.09961574628147.410529073336
0.122229.98250536072141.548707873675
0.132266.16226178340131.886767795542
0.142299.06099717959120.114917045447
0.152328.49244243183108.077213935695
0.162354.6425212611597.4823696994683
0.172377.9919053081189.6636881049093
0.182399.2055829898885.3707958710262
0.192419.0155909912484.6700694983319
0.22438.1178345716287.0044889938882
0.212457.0958117132691.4668742778638
0.222476.3759180447797.0698342410595
0.232496.21260661429102.932008659284
0.242516.6976960761108.336084932525
0.252537.78643908049112.747624023092
0.262559.33299503242115.830399389817
0.272581.12898569653117.424218541109
0.282602.94024916017117.544385226020
0.292624.53837130372116.338507218938
0.32645.72490155637114.075826585172
0.312666.34732129530111.073554169393
0.322686.30683831912107.675577850275
0.332705.55891765240104.201557915737
0.342724.10808136867100.922014561695
0.352741.9988614494198.029107276152
0.362759.3048390631595.6463431327968
0.372776.1174717604793.8230767445671
0.382792.5359722031392.5581151003064
0.392808.6589694886291.8102593247205
0.42824.5781745421591.5142036081022
0.412840.3738799564391.5902306391481
0.422856.1119071904091.9569147069198
0.432871.8415797368292.5130043176102
0.442887.5944195097193.1628107155825
0.452903.3834775435293.794881669748
0.462919.2034482316294.2980262092973
0.472935.0319084116194.5692222940482
0.482950.8321107734494.5063870986323
0.492966.55770966194.048946410954
0.52982.1595997216693.172746422493
0.512997.5947291793991.9154092210195
0.523012.8363640235590.3878510155155
0.533027.8849015800788.7748733701088
0.543042.7780419369187.3456333576983
0.553057.5989917187286.4295762312875
0.563072.4814360508386.3964983412253
0.573087.6102702139687.614886331808
0.583103.2174893108690.4089745395696
0.593119.5731167252294.988795981601
0.63136.97152265378101.448530601873
0.613155.71386883358109.716275215832
0.623176.08767883016119.597582074331
0.633198.34468962384130.763524787379
0.643222.6782499638142.788031965113
0.653249.20167450428155.139222536335
0.663277.92920049893167.208056177501
0.673308.76152359172178.326721393462
0.683341.47821874861187.800767984333
0.693375.73950377158194.956612207495
0.73411.0995577595199.217823318136
0.713447.03278670084200.165454891847
0.723482.97298736402197.615700965735
0.733518.36345681658191.676094782482
0.743552.71410110865182.775260241497
0.753585.66002734179171.662520548566
0.763617.01546001931159.370097739802
0.773646.81739600955147.153439467998
0.783675.3551093038136.407732437879
0.793703.18388952455128.580314158372
0.83731.1233420025125.045268597029
0.813760.24121602677126.950253697952
0.823791.82245349947135.042455533656
0.833827.32021242142149.591052287675
0.843868.28248762052170.378081926208
0.853916.24728765014196.66862801711
0.863972.6042646758227.118708061570
0.874038.43320477784259.661856435444
0.884114.34837653156291.534596315333
0.894200.39564472444319.574469477786
0.94296.05544368624340.811618548796
0.914400.39000510573353.258630011979
0.924512.34058955206356.585761087192
0.934631.14860912792352.216770187954
0.944756.85157761474342.618846061826
0.954890.71393562078330.358967832583
0.965035.07232517259318.543547231751
0.975191.2595230098313.693199829880
0.985353.84334198199326.448732426658
0.995502.26513527559359.566718028516


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = bouwvergunningen ; par5 = werkelijk begonnen woningen ;
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')