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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 computationTue, 07 Mar 2017 21:44:03 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Mar/07/t1488923483dbeannqjye5fa9c.htm/, Retrieved Tue, 14 May 2024 22:07:46 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 22:07:46 +0200
QR Codes:

Original text written by user:25-45jaar
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
88
90
82
75
79
70
71
75
89
92
94
90
102
98
100
98
100
91
93
92
106
109
108
108
118
119
124
118
119
113
114
115
125
125
118
122
132
133
136
128
126
114
108
107
117
119
113
114
124
125
124
118
111
99
94
93
107
107
103
97
103
107
104
101
92
85
83
77
90
87
87
78

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 Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0170.58486421642671.60438327254472
0.0271.64536707250062.27987692422513
0.0372.92731659917412.53318977152356
0.0474.21641073456422.51264846181406
0.0575.42104814291352.51687271289451
0.0676.54461981004812.66446276251256
0.0777.62734611792312.91151293895795
0.0878.70459347833993.17850276614549
0.0979.79125113934693.40392749379627
0.180.88301536625323.54994393416807
0.1181.96378679730043.60001136112355
0.1283.0131478140633.55538040188133
0.1384.01188938693543.43105383208646
0.1484.94534225887113.24958753403082
0.1585.80480122706373.03528603720501
0.1686.58749493219462.81068787284358
0.1787.29562867824922.59319516839001
0.1887.93501535110262.39495880033564
0.1988.51370179344842.22323385333187
0.289.04083833067552.08203143577043
0.2189.52588534974211.97300580068528
0.2289.97814012317211.89679011042966
0.2390.40650785911631.85363796736866
0.2490.81942238274031.84353201319863
0.2591.22482742902531.86653468430473
0.2691.63014672797761.92216337988309
0.2792.0421941975822.00880146825705
0.2892.4670032878772.12330838327579
0.2992.90958547087092.26023486165544
0.393.37365773144192.41185994359059
0.3193.86140061746842.56892472519088
0.3294.3733148971932.72128042754933
0.3394.90823253346922.85977154049861
0.3495.46350847673182.97657335159903
0.3596.0353810376183.06707890724161
0.3696.61945071749053.12948094911049
0.3797.21120043911713.16543726354384
0.3897.80647087156883.17923059337001
0.3998.40181467255633.1763764154438
0.498.99467963665193.1631753989837
0.4199.58340604232233.14507976772705
0.42100.1670597066123.12570448053979
0.43100.7451519875633.10626026018584
0.44101.3173161420293.08589945925431
0.45101.883013850513.06188491650545
0.46102.4413368027453.03059384429885
0.47102.9909483994182.98851503089559
0.48103.5301834802672.93312128412131
0.49104.0572937895172.86385259097552
0.5104.5707981531682.78295604359775
0.51105.0698735468712.6950231176619
0.52105.5547104087312.60734904143682
0.53106.026755688442.52879686689701
0.54106.4887814587052.46866534253514
0.55106.9447442966482.43520334757109
0.56107.3994372432682.433471934918
0.57107.8579757191082.46443169139064
0.58108.3251935435822.52390125894829
0.59108.8050473475362.60390097044217
0.6109.3001311008422.69337604999926
0.61109.8113846195492.78041015631534
0.62110.3380429497622.85447325020674
0.63110.8778246678982.90730977905249
0.64111.4273076073272.93400693654258
0.65111.982403114632.9333513972626
0.66112.5388256005382.90710456349394
0.67113.0924683923762.8591184550556
0.68113.6396372057862.79359690233482
0.69114.177147929082.71443243655928
0.7114.702348617082.62418807357033
0.71115.2131578896622.52458050522112
0.72115.7082090761422.41737856533616
0.73116.187147031792.30597244861594
0.74116.6510508622882.19659408649009
0.75117.1028710171132.09916787355161
0.76117.5477010282242.02625547574549
0.77117.9926807217411.99091009471321
0.78118.4463695844142.00244760861983
0.79118.9175415421372.06160178753829
0.8119.4135203524632.15768404367996
0.81119.938360265492.2693899097348
0.82120.4913241005152.36868809626081
0.83121.0661614290422.42690287467155
0.84121.6516032045892.42094688485893
0.85122.2332686582932.33927104540319
0.86122.7968810224952.18557325407078
0.87123.3323997750851.98045455619306
0.88123.8384696999191.76003484170564
0.89124.3264509343681.57401784999454
0.9124.823113089591.48251934996753
0.91125.3707108792281.54353577022741
0.92126.0226945427511.78296832469886
0.93126.8334384341632.16875448541968
0.94127.842547619522.60725158219305
0.95129.0595867974212.95348511413404
0.96130.4601493261323.05710133184893
0.97131.9962681049342.87601417787149
0.98133.5898224300922.6236189333191
0.99135.0527890648942.67510398175373

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 70.5848642164267 & 1.60438327254472 \tabularnewline
0.02 & 71.6453670725006 & 2.27987692422513 \tabularnewline
0.03 & 72.9273165991741 & 2.53318977152356 \tabularnewline
0.04 & 74.2164107345642 & 2.51264846181406 \tabularnewline
0.05 & 75.4210481429135 & 2.51687271289451 \tabularnewline
0.06 & 76.5446198100481 & 2.66446276251256 \tabularnewline
0.07 & 77.6273461179231 & 2.91151293895795 \tabularnewline
0.08 & 78.7045934783399 & 3.17850276614549 \tabularnewline
0.09 & 79.7912511393469 & 3.40392749379627 \tabularnewline
0.1 & 80.8830153662532 & 3.54994393416807 \tabularnewline
0.11 & 81.9637867973004 & 3.60001136112355 \tabularnewline
0.12 & 83.013147814063 & 3.55538040188133 \tabularnewline
0.13 & 84.0118893869354 & 3.43105383208646 \tabularnewline
0.14 & 84.9453422588711 & 3.24958753403082 \tabularnewline
0.15 & 85.8048012270637 & 3.03528603720501 \tabularnewline
0.16 & 86.5874949321946 & 2.81068787284358 \tabularnewline
0.17 & 87.2956286782492 & 2.59319516839001 \tabularnewline
0.18 & 87.9350153511026 & 2.39495880033564 \tabularnewline
0.19 & 88.5137017934484 & 2.22323385333187 \tabularnewline
0.2 & 89.0408383306755 & 2.08203143577043 \tabularnewline
0.21 & 89.5258853497421 & 1.97300580068528 \tabularnewline
0.22 & 89.9781401231721 & 1.89679011042966 \tabularnewline
0.23 & 90.4065078591163 & 1.85363796736866 \tabularnewline
0.24 & 90.8194223827403 & 1.84353201319863 \tabularnewline
0.25 & 91.2248274290253 & 1.86653468430473 \tabularnewline
0.26 & 91.6301467279776 & 1.92216337988309 \tabularnewline
0.27 & 92.042194197582 & 2.00880146825705 \tabularnewline
0.28 & 92.467003287877 & 2.12330838327579 \tabularnewline
0.29 & 92.9095854708709 & 2.26023486165544 \tabularnewline
0.3 & 93.3736577314419 & 2.41185994359059 \tabularnewline
0.31 & 93.8614006174684 & 2.56892472519088 \tabularnewline
0.32 & 94.373314897193 & 2.72128042754933 \tabularnewline
0.33 & 94.9082325334692 & 2.85977154049861 \tabularnewline
0.34 & 95.4635084767318 & 2.97657335159903 \tabularnewline
0.35 & 96.035381037618 & 3.06707890724161 \tabularnewline
0.36 & 96.6194507174905 & 3.12948094911049 \tabularnewline
0.37 & 97.2112004391171 & 3.16543726354384 \tabularnewline
0.38 & 97.8064708715688 & 3.17923059337001 \tabularnewline
0.39 & 98.4018146725563 & 3.1763764154438 \tabularnewline
0.4 & 98.9946796366519 & 3.1631753989837 \tabularnewline
0.41 & 99.5834060423223 & 3.14507976772705 \tabularnewline
0.42 & 100.167059706612 & 3.12570448053979 \tabularnewline
0.43 & 100.745151987563 & 3.10626026018584 \tabularnewline
0.44 & 101.317316142029 & 3.08589945925431 \tabularnewline
0.45 & 101.88301385051 & 3.06188491650545 \tabularnewline
0.46 & 102.441336802745 & 3.03059384429885 \tabularnewline
0.47 & 102.990948399418 & 2.98851503089559 \tabularnewline
0.48 & 103.530183480267 & 2.93312128412131 \tabularnewline
0.49 & 104.057293789517 & 2.86385259097552 \tabularnewline
0.5 & 104.570798153168 & 2.78295604359775 \tabularnewline
0.51 & 105.069873546871 & 2.6950231176619 \tabularnewline
0.52 & 105.554710408731 & 2.60734904143682 \tabularnewline
0.53 & 106.02675568844 & 2.52879686689701 \tabularnewline
0.54 & 106.488781458705 & 2.46866534253514 \tabularnewline
0.55 & 106.944744296648 & 2.43520334757109 \tabularnewline
0.56 & 107.399437243268 & 2.433471934918 \tabularnewline
0.57 & 107.857975719108 & 2.46443169139064 \tabularnewline
0.58 & 108.325193543582 & 2.52390125894829 \tabularnewline
0.59 & 108.805047347536 & 2.60390097044217 \tabularnewline
0.6 & 109.300131100842 & 2.69337604999926 \tabularnewline
0.61 & 109.811384619549 & 2.78041015631534 \tabularnewline
0.62 & 110.338042949762 & 2.85447325020674 \tabularnewline
0.63 & 110.877824667898 & 2.90730977905249 \tabularnewline
0.64 & 111.427307607327 & 2.93400693654258 \tabularnewline
0.65 & 111.98240311463 & 2.9333513972626 \tabularnewline
0.66 & 112.538825600538 & 2.90710456349394 \tabularnewline
0.67 & 113.092468392376 & 2.8591184550556 \tabularnewline
0.68 & 113.639637205786 & 2.79359690233482 \tabularnewline
0.69 & 114.17714792908 & 2.71443243655928 \tabularnewline
0.7 & 114.70234861708 & 2.62418807357033 \tabularnewline
0.71 & 115.213157889662 & 2.52458050522112 \tabularnewline
0.72 & 115.708209076142 & 2.41737856533616 \tabularnewline
0.73 & 116.18714703179 & 2.30597244861594 \tabularnewline
0.74 & 116.651050862288 & 2.19659408649009 \tabularnewline
0.75 & 117.102871017113 & 2.09916787355161 \tabularnewline
0.76 & 117.547701028224 & 2.02625547574549 \tabularnewline
0.77 & 117.992680721741 & 1.99091009471321 \tabularnewline
0.78 & 118.446369584414 & 2.00244760861983 \tabularnewline
0.79 & 118.917541542137 & 2.06160178753829 \tabularnewline
0.8 & 119.413520352463 & 2.15768404367996 \tabularnewline
0.81 & 119.93836026549 & 2.2693899097348 \tabularnewline
0.82 & 120.491324100515 & 2.36868809626081 \tabularnewline
0.83 & 121.066161429042 & 2.42690287467155 \tabularnewline
0.84 & 121.651603204589 & 2.42094688485893 \tabularnewline
0.85 & 122.233268658293 & 2.33927104540319 \tabularnewline
0.86 & 122.796881022495 & 2.18557325407078 \tabularnewline
0.87 & 123.332399775085 & 1.98045455619306 \tabularnewline
0.88 & 123.838469699919 & 1.76003484170564 \tabularnewline
0.89 & 124.326450934368 & 1.57401784999454 \tabularnewline
0.9 & 124.82311308959 & 1.48251934996753 \tabularnewline
0.91 & 125.370710879228 & 1.54353577022741 \tabularnewline
0.92 & 126.022694542751 & 1.78296832469886 \tabularnewline
0.93 & 126.833438434163 & 2.16875448541968 \tabularnewline
0.94 & 127.84254761952 & 2.60725158219305 \tabularnewline
0.95 & 129.059586797421 & 2.95348511413404 \tabularnewline
0.96 & 130.460149326132 & 3.05710133184893 \tabularnewline
0.97 & 131.996268104934 & 2.87601417787149 \tabularnewline
0.98 & 133.589822430092 & 2.6236189333191 \tabularnewline
0.99 & 135.052789064894 & 2.67510398175373 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]70.5848642164267[/C][C]1.60438327254472[/C][/ROW]
[ROW][C]0.02[/C][C]71.6453670725006[/C][C]2.27987692422513[/C][/ROW]
[ROW][C]0.03[/C][C]72.9273165991741[/C][C]2.53318977152356[/C][/ROW]
[ROW][C]0.04[/C][C]74.2164107345642[/C][C]2.51264846181406[/C][/ROW]
[ROW][C]0.05[/C][C]75.4210481429135[/C][C]2.51687271289451[/C][/ROW]
[ROW][C]0.06[/C][C]76.5446198100481[/C][C]2.66446276251256[/C][/ROW]
[ROW][C]0.07[/C][C]77.6273461179231[/C][C]2.91151293895795[/C][/ROW]
[ROW][C]0.08[/C][C]78.7045934783399[/C][C]3.17850276614549[/C][/ROW]
[ROW][C]0.09[/C][C]79.7912511393469[/C][C]3.40392749379627[/C][/ROW]
[ROW][C]0.1[/C][C]80.8830153662532[/C][C]3.54994393416807[/C][/ROW]
[ROW][C]0.11[/C][C]81.9637867973004[/C][C]3.60001136112355[/C][/ROW]
[ROW][C]0.12[/C][C]83.013147814063[/C][C]3.55538040188133[/C][/ROW]
[ROW][C]0.13[/C][C]84.0118893869354[/C][C]3.43105383208646[/C][/ROW]
[ROW][C]0.14[/C][C]84.9453422588711[/C][C]3.24958753403082[/C][/ROW]
[ROW][C]0.15[/C][C]85.8048012270637[/C][C]3.03528603720501[/C][/ROW]
[ROW][C]0.16[/C][C]86.5874949321946[/C][C]2.81068787284358[/C][/ROW]
[ROW][C]0.17[/C][C]87.2956286782492[/C][C]2.59319516839001[/C][/ROW]
[ROW][C]0.18[/C][C]87.9350153511026[/C][C]2.39495880033564[/C][/ROW]
[ROW][C]0.19[/C][C]88.5137017934484[/C][C]2.22323385333187[/C][/ROW]
[ROW][C]0.2[/C][C]89.0408383306755[/C][C]2.08203143577043[/C][/ROW]
[ROW][C]0.21[/C][C]89.5258853497421[/C][C]1.97300580068528[/C][/ROW]
[ROW][C]0.22[/C][C]89.9781401231721[/C][C]1.89679011042966[/C][/ROW]
[ROW][C]0.23[/C][C]90.4065078591163[/C][C]1.85363796736866[/C][/ROW]
[ROW][C]0.24[/C][C]90.8194223827403[/C][C]1.84353201319863[/C][/ROW]
[ROW][C]0.25[/C][C]91.2248274290253[/C][C]1.86653468430473[/C][/ROW]
[ROW][C]0.26[/C][C]91.6301467279776[/C][C]1.92216337988309[/C][/ROW]
[ROW][C]0.27[/C][C]92.042194197582[/C][C]2.00880146825705[/C][/ROW]
[ROW][C]0.28[/C][C]92.467003287877[/C][C]2.12330838327579[/C][/ROW]
[ROW][C]0.29[/C][C]92.9095854708709[/C][C]2.26023486165544[/C][/ROW]
[ROW][C]0.3[/C][C]93.3736577314419[/C][C]2.41185994359059[/C][/ROW]
[ROW][C]0.31[/C][C]93.8614006174684[/C][C]2.56892472519088[/C][/ROW]
[ROW][C]0.32[/C][C]94.373314897193[/C][C]2.72128042754933[/C][/ROW]
[ROW][C]0.33[/C][C]94.9082325334692[/C][C]2.85977154049861[/C][/ROW]
[ROW][C]0.34[/C][C]95.4635084767318[/C][C]2.97657335159903[/C][/ROW]
[ROW][C]0.35[/C][C]96.035381037618[/C][C]3.06707890724161[/C][/ROW]
[ROW][C]0.36[/C][C]96.6194507174905[/C][C]3.12948094911049[/C][/ROW]
[ROW][C]0.37[/C][C]97.2112004391171[/C][C]3.16543726354384[/C][/ROW]
[ROW][C]0.38[/C][C]97.8064708715688[/C][C]3.17923059337001[/C][/ROW]
[ROW][C]0.39[/C][C]98.4018146725563[/C][C]3.1763764154438[/C][/ROW]
[ROW][C]0.4[/C][C]98.9946796366519[/C][C]3.1631753989837[/C][/ROW]
[ROW][C]0.41[/C][C]99.5834060423223[/C][C]3.14507976772705[/C][/ROW]
[ROW][C]0.42[/C][C]100.167059706612[/C][C]3.12570448053979[/C][/ROW]
[ROW][C]0.43[/C][C]100.745151987563[/C][C]3.10626026018584[/C][/ROW]
[ROW][C]0.44[/C][C]101.317316142029[/C][C]3.08589945925431[/C][/ROW]
[ROW][C]0.45[/C][C]101.88301385051[/C][C]3.06188491650545[/C][/ROW]
[ROW][C]0.46[/C][C]102.441336802745[/C][C]3.03059384429885[/C][/ROW]
[ROW][C]0.47[/C][C]102.990948399418[/C][C]2.98851503089559[/C][/ROW]
[ROW][C]0.48[/C][C]103.530183480267[/C][C]2.93312128412131[/C][/ROW]
[ROW][C]0.49[/C][C]104.057293789517[/C][C]2.86385259097552[/C][/ROW]
[ROW][C]0.5[/C][C]104.570798153168[/C][C]2.78295604359775[/C][/ROW]
[ROW][C]0.51[/C][C]105.069873546871[/C][C]2.6950231176619[/C][/ROW]
[ROW][C]0.52[/C][C]105.554710408731[/C][C]2.60734904143682[/C][/ROW]
[ROW][C]0.53[/C][C]106.02675568844[/C][C]2.52879686689701[/C][/ROW]
[ROW][C]0.54[/C][C]106.488781458705[/C][C]2.46866534253514[/C][/ROW]
[ROW][C]0.55[/C][C]106.944744296648[/C][C]2.43520334757109[/C][/ROW]
[ROW][C]0.56[/C][C]107.399437243268[/C][C]2.433471934918[/C][/ROW]
[ROW][C]0.57[/C][C]107.857975719108[/C][C]2.46443169139064[/C][/ROW]
[ROW][C]0.58[/C][C]108.325193543582[/C][C]2.52390125894829[/C][/ROW]
[ROW][C]0.59[/C][C]108.805047347536[/C][C]2.60390097044217[/C][/ROW]
[ROW][C]0.6[/C][C]109.300131100842[/C][C]2.69337604999926[/C][/ROW]
[ROW][C]0.61[/C][C]109.811384619549[/C][C]2.78041015631534[/C][/ROW]
[ROW][C]0.62[/C][C]110.338042949762[/C][C]2.85447325020674[/C][/ROW]
[ROW][C]0.63[/C][C]110.877824667898[/C][C]2.90730977905249[/C][/ROW]
[ROW][C]0.64[/C][C]111.427307607327[/C][C]2.93400693654258[/C][/ROW]
[ROW][C]0.65[/C][C]111.98240311463[/C][C]2.9333513972626[/C][/ROW]
[ROW][C]0.66[/C][C]112.538825600538[/C][C]2.90710456349394[/C][/ROW]
[ROW][C]0.67[/C][C]113.092468392376[/C][C]2.8591184550556[/C][/ROW]
[ROW][C]0.68[/C][C]113.639637205786[/C][C]2.79359690233482[/C][/ROW]
[ROW][C]0.69[/C][C]114.17714792908[/C][C]2.71443243655928[/C][/ROW]
[ROW][C]0.7[/C][C]114.70234861708[/C][C]2.62418807357033[/C][/ROW]
[ROW][C]0.71[/C][C]115.213157889662[/C][C]2.52458050522112[/C][/ROW]
[ROW][C]0.72[/C][C]115.708209076142[/C][C]2.41737856533616[/C][/ROW]
[ROW][C]0.73[/C][C]116.18714703179[/C][C]2.30597244861594[/C][/ROW]
[ROW][C]0.74[/C][C]116.651050862288[/C][C]2.19659408649009[/C][/ROW]
[ROW][C]0.75[/C][C]117.102871017113[/C][C]2.09916787355161[/C][/ROW]
[ROW][C]0.76[/C][C]117.547701028224[/C][C]2.02625547574549[/C][/ROW]
[ROW][C]0.77[/C][C]117.992680721741[/C][C]1.99091009471321[/C][/ROW]
[ROW][C]0.78[/C][C]118.446369584414[/C][C]2.00244760861983[/C][/ROW]
[ROW][C]0.79[/C][C]118.917541542137[/C][C]2.06160178753829[/C][/ROW]
[ROW][C]0.8[/C][C]119.413520352463[/C][C]2.15768404367996[/C][/ROW]
[ROW][C]0.81[/C][C]119.93836026549[/C][C]2.2693899097348[/C][/ROW]
[ROW][C]0.82[/C][C]120.491324100515[/C][C]2.36868809626081[/C][/ROW]
[ROW][C]0.83[/C][C]121.066161429042[/C][C]2.42690287467155[/C][/ROW]
[ROW][C]0.84[/C][C]121.651603204589[/C][C]2.42094688485893[/C][/ROW]
[ROW][C]0.85[/C][C]122.233268658293[/C][C]2.33927104540319[/C][/ROW]
[ROW][C]0.86[/C][C]122.796881022495[/C][C]2.18557325407078[/C][/ROW]
[ROW][C]0.87[/C][C]123.332399775085[/C][C]1.98045455619306[/C][/ROW]
[ROW][C]0.88[/C][C]123.838469699919[/C][C]1.76003484170564[/C][/ROW]
[ROW][C]0.89[/C][C]124.326450934368[/C][C]1.57401784999454[/C][/ROW]
[ROW][C]0.9[/C][C]124.82311308959[/C][C]1.48251934996753[/C][/ROW]
[ROW][C]0.91[/C][C]125.370710879228[/C][C]1.54353577022741[/C][/ROW]
[ROW][C]0.92[/C][C]126.022694542751[/C][C]1.78296832469886[/C][/ROW]
[ROW][C]0.93[/C][C]126.833438434163[/C][C]2.16875448541968[/C][/ROW]
[ROW][C]0.94[/C][C]127.84254761952[/C][C]2.60725158219305[/C][/ROW]
[ROW][C]0.95[/C][C]129.059586797421[/C][C]2.95348511413404[/C][/ROW]
[ROW][C]0.96[/C][C]130.460149326132[/C][C]3.05710133184893[/C][/ROW]
[ROW][C]0.97[/C][C]131.996268104934[/C][C]2.87601417787149[/C][/ROW]
[ROW][C]0.98[/C][C]133.589822430092[/C][C]2.6236189333191[/C][/ROW]
[ROW][C]0.99[/C][C]135.052789064894[/C][C]2.67510398175373[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0170.58486421642671.60438327254472
0.0271.64536707250062.27987692422513
0.0372.92731659917412.53318977152356
0.0474.21641073456422.51264846181406
0.0575.42104814291352.51687271289451
0.0676.54461981004812.66446276251256
0.0777.62734611792312.91151293895795
0.0878.70459347833993.17850276614549
0.0979.79125113934693.40392749379627
0.180.88301536625323.54994393416807
0.1181.96378679730043.60001136112355
0.1283.0131478140633.55538040188133
0.1384.01188938693543.43105383208646
0.1484.94534225887113.24958753403082
0.1585.80480122706373.03528603720501
0.1686.58749493219462.81068787284358
0.1787.29562867824922.59319516839001
0.1887.93501535110262.39495880033564
0.1988.51370179344842.22323385333187
0.289.04083833067552.08203143577043
0.2189.52588534974211.97300580068528
0.2289.97814012317211.89679011042966
0.2390.40650785911631.85363796736866
0.2490.81942238274031.84353201319863
0.2591.22482742902531.86653468430473
0.2691.63014672797761.92216337988309
0.2792.0421941975822.00880146825705
0.2892.4670032878772.12330838327579
0.2992.90958547087092.26023486165544
0.393.37365773144192.41185994359059
0.3193.86140061746842.56892472519088
0.3294.3733148971932.72128042754933
0.3394.90823253346922.85977154049861
0.3495.46350847673182.97657335159903
0.3596.0353810376183.06707890724161
0.3696.61945071749053.12948094911049
0.3797.21120043911713.16543726354384
0.3897.80647087156883.17923059337001
0.3998.40181467255633.1763764154438
0.498.99467963665193.1631753989837
0.4199.58340604232233.14507976772705
0.42100.1670597066123.12570448053979
0.43100.7451519875633.10626026018584
0.44101.3173161420293.08589945925431
0.45101.883013850513.06188491650545
0.46102.4413368027453.03059384429885
0.47102.9909483994182.98851503089559
0.48103.5301834802672.93312128412131
0.49104.0572937895172.86385259097552
0.5104.5707981531682.78295604359775
0.51105.0698735468712.6950231176619
0.52105.5547104087312.60734904143682
0.53106.026755688442.52879686689701
0.54106.4887814587052.46866534253514
0.55106.9447442966482.43520334757109
0.56107.3994372432682.433471934918
0.57107.8579757191082.46443169139064
0.58108.3251935435822.52390125894829
0.59108.8050473475362.60390097044217
0.6109.3001311008422.69337604999926
0.61109.8113846195492.78041015631534
0.62110.3380429497622.85447325020674
0.63110.8778246678982.90730977905249
0.64111.4273076073272.93400693654258
0.65111.982403114632.9333513972626
0.66112.5388256005382.90710456349394
0.67113.0924683923762.8591184550556
0.68113.6396372057862.79359690233482
0.69114.177147929082.71443243655928
0.7114.702348617082.62418807357033
0.71115.2131578896622.52458050522112
0.72115.7082090761422.41737856533616
0.73116.187147031792.30597244861594
0.74116.6510508622882.19659408649009
0.75117.1028710171132.09916787355161
0.76117.5477010282242.02625547574549
0.77117.9926807217411.99091009471321
0.78118.4463695844142.00244760861983
0.79118.9175415421372.06160178753829
0.8119.4135203524632.15768404367996
0.81119.938360265492.2693899097348
0.82120.4913241005152.36868809626081
0.83121.0661614290422.42690287467155
0.84121.6516032045892.42094688485893
0.85122.2332686582932.33927104540319
0.86122.7968810224952.18557325407078
0.87123.3323997750851.98045455619306
0.88123.8384696999191.76003484170564
0.89124.3264509343681.57401784999454
0.9124.823113089591.48251934996753
0.91125.3707108792281.54353577022741
0.92126.0226945427511.78296832469886
0.93126.8334384341632.16875448541968
0.94127.842547619522.60725158219305
0.95129.0595867974212.95348511413404
0.96130.4601493261323.05710133184893
0.97131.9962681049342.87601417787149
0.98133.5898224300922.6236189333191
0.99135.0527890648942.67510398175373


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')