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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 13:04:18 -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/27/t12251344001j58ic8udxcbd48.htm/, Retrieved Sun, 19 May 2024 13:06:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19420, Retrieved Sun, 19 May 2024 13:06:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Q5 Distributions] [2007-10-22 09:17:45] [b731da8b544846036771bbf9bf2f34ce]
-   PD    [Harrell-Davis Quantiles] [steenkool sept 20...] [2008-10-27 19:04:18] [1b288879226ab9a3cab0c803857233cc] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
93,5
95,4
101,2
101,5
101,9
101,7
100,1
97,4
96,5
99,2
102,2
105,3
111,1
114,9
124,5
142,2
159,7
165,2
198,6
207,8
219,6
239,6
235,3
218,5
213,8
205,5
198,4
198,5
190,2
180,7
193,6
192,8
195,5
197,2
196,9
178,9
172,4
156,4
143,7
153,6
168,8
185,8
199,9
205,4
197,5
199,6
200,5
193,7
179,6
169,1
169,8
195,5
194,8
204,5
203,8
204,8
204,9
240
248,3
258,4
254,9

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19420&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19420&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19420&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 time3 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0193.98106850813121.72141687750290
0.0294.71708261417081.58993860873456
0.0395.53051058605711.57330792577055
0.0496.32446334559381.65541567614592
0.0597.07417003897021.76696510401907
0.0697.78344291857471.85372864703913
0.0798.45858805911941.89610903713524
0.0899.1035451414841.90968052994593
0.0999.72481949761651.9404133453096
0.1100.3374327863442.05852203534586
0.11100.9683577292252.34478491567028
0.12101.6569063192182.86745628329091
0.13102.4525962650993.66669032727977
0.14103.4112100056844.75429043331506
0.15104.5897228357336.11873415289823
0.16106.040737423927.72514659602099
0.17107.8070496813229.5151880287351
0.18109.91695056300911.4095930686614
0.19112.38080224308513.3139300302395
0.2115.18929640093915.1265761348587
0.21118.31361043515116.7493321659762
0.22121.70744580747018.0966124966366
0.23125.31069516473319.1039176449577
0.24129.05428040665819.7342794367789
0.25132.86556846973319.9796936101408
0.26136.67372950193719.8600538480377
0.27140.41445886067819.4190808894854
0.28144.03362463704418.7177230113814
0.29147.48959377456717.8260156657735
0.3150.75419166054016.8164748172865
0.31153.81242429986515.7577861297924
0.32156.66121260346814.7096460948450
0.33159.30744516519613.7206652195556
0.34161.76565514650312.8269104817467
0.35164.05558530092312.0516407218512
0.36166.19984341187611.4059163094556
0.37168.22178677731610.8891290171020
0.38170.14372085849910.4910214623710
0.39171.98545853121210.1928728655102
0.4173.7632613181779.97024849678038
0.41175.4891679816419.79540491555469
0.42177.1707036630989.64000926983621
0.43178.8109503353439.47745190127684
0.44180.4089447450099.28496032700077
0.45181.9603534479759.04453977341038
0.46183.4583577433078.7446570650665
0.47184.8946669404188.38050365502384
0.48186.2605692765677.9533248280173
0.49187.5479283401497.47046001007099
0.5188.7500405154756.94399357725093
0.51189.8622858800946.38954158777301
0.52190.8825297371115.82471467798787
0.53191.8112616315425.26659168138638
0.54192.6514892383634.7318797334112
0.55193.4084314385174.23383573896099
0.56194.0890741539663.78334586796435
0.57194.7016612723193.38638847799731
0.58195.2551902593533.04658195575604
0.59195.7589688564322.76424041729391
0.6196.2222684068482.53716474406602
0.61196.6540849013882.36278458662442
0.62197.0629953242952.23695263908510
0.63197.4570786068372.15673246616106
0.64197.8438608589862.11838980565309
0.65198.2302455979912.11891461859031
0.66198.6224018106562.15347527489196
0.67199.0256044159542.21677281458876
0.68199.4440496781942.30126478697555
0.69199.8806972260192.39791034020493
0.7200.3372140688152.49726535684423
0.71200.8141073529962.59005351511532
0.72201.3111253218722.66995146339763
0.73201.8279762409852.73419536909232
0.74202.3653633540032.78668250566911
0.75202.9262662567092.83917509700678
0.76203.5173273177112.91230394006203
0.77204.1501422462933.03503888676219
0.78204.8422235948883.2413274523237
0.79205.6174166732183.56368298876711
0.8206.5055990224154.02604100928355
0.81207.5415712185344.6387998477189
0.82208.7631192055235.39809738816004
0.83210.2082686631486.28660416583931
0.84211.9117587846577.27418259779557
0.85213.9007876600378.3166899873734
0.86216.1902316731499.35408616246285
0.87218.77793140301110.3081621786522
0.88221.64127263002111.0849522305009
0.89224.73692496186511.5866746153598
0.9228.00566318235411.7353162208389
0.91231.38297242480011.505600383511
0.92234.81328600691610.9527311276250
0.93238.26197452526710.2134681288747
0.94241.7167874375599.4522945442710
0.95245.1720750254718.75064847760998
0.96248.5955727207528.01023440881258
0.97251.8856289710017.00473921956523
0.98254.8333073731815.63061572283412
0.99257.1175429095734.2239800544973

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 93.9810685081312 & 1.72141687750290 \tabularnewline
0.02 & 94.7170826141708 & 1.58993860873456 \tabularnewline
0.03 & 95.5305105860571 & 1.57330792577055 \tabularnewline
0.04 & 96.3244633455938 & 1.65541567614592 \tabularnewline
0.05 & 97.0741700389702 & 1.76696510401907 \tabularnewline
0.06 & 97.7834429185747 & 1.85372864703913 \tabularnewline
0.07 & 98.4585880591194 & 1.89610903713524 \tabularnewline
0.08 & 99.103545141484 & 1.90968052994593 \tabularnewline
0.09 & 99.7248194976165 & 1.9404133453096 \tabularnewline
0.1 & 100.337432786344 & 2.05852203534586 \tabularnewline
0.11 & 100.968357729225 & 2.34478491567028 \tabularnewline
0.12 & 101.656906319218 & 2.86745628329091 \tabularnewline
0.13 & 102.452596265099 & 3.66669032727977 \tabularnewline
0.14 & 103.411210005684 & 4.75429043331506 \tabularnewline
0.15 & 104.589722835733 & 6.11873415289823 \tabularnewline
0.16 & 106.04073742392 & 7.72514659602099 \tabularnewline
0.17 & 107.807049681322 & 9.5151880287351 \tabularnewline
0.18 & 109.916950563009 & 11.4095930686614 \tabularnewline
0.19 & 112.380802243085 & 13.3139300302395 \tabularnewline
0.2 & 115.189296400939 & 15.1265761348587 \tabularnewline
0.21 & 118.313610435151 & 16.7493321659762 \tabularnewline
0.22 & 121.707445807470 & 18.0966124966366 \tabularnewline
0.23 & 125.310695164733 & 19.1039176449577 \tabularnewline
0.24 & 129.054280406658 & 19.7342794367789 \tabularnewline
0.25 & 132.865568469733 & 19.9796936101408 \tabularnewline
0.26 & 136.673729501937 & 19.8600538480377 \tabularnewline
0.27 & 140.414458860678 & 19.4190808894854 \tabularnewline
0.28 & 144.033624637044 & 18.7177230113814 \tabularnewline
0.29 & 147.489593774567 & 17.8260156657735 \tabularnewline
0.3 & 150.754191660540 & 16.8164748172865 \tabularnewline
0.31 & 153.812424299865 & 15.7577861297924 \tabularnewline
0.32 & 156.661212603468 & 14.7096460948450 \tabularnewline
0.33 & 159.307445165196 & 13.7206652195556 \tabularnewline
0.34 & 161.765655146503 & 12.8269104817467 \tabularnewline
0.35 & 164.055585300923 & 12.0516407218512 \tabularnewline
0.36 & 166.199843411876 & 11.4059163094556 \tabularnewline
0.37 & 168.221786777316 & 10.8891290171020 \tabularnewline
0.38 & 170.143720858499 & 10.4910214623710 \tabularnewline
0.39 & 171.985458531212 & 10.1928728655102 \tabularnewline
0.4 & 173.763261318177 & 9.97024849678038 \tabularnewline
0.41 & 175.489167981641 & 9.79540491555469 \tabularnewline
0.42 & 177.170703663098 & 9.64000926983621 \tabularnewline
0.43 & 178.810950335343 & 9.47745190127684 \tabularnewline
0.44 & 180.408944745009 & 9.28496032700077 \tabularnewline
0.45 & 181.960353447975 & 9.04453977341038 \tabularnewline
0.46 & 183.458357743307 & 8.7446570650665 \tabularnewline
0.47 & 184.894666940418 & 8.38050365502384 \tabularnewline
0.48 & 186.260569276567 & 7.9533248280173 \tabularnewline
0.49 & 187.547928340149 & 7.47046001007099 \tabularnewline
0.5 & 188.750040515475 & 6.94399357725093 \tabularnewline
0.51 & 189.862285880094 & 6.38954158777301 \tabularnewline
0.52 & 190.882529737111 & 5.82471467798787 \tabularnewline
0.53 & 191.811261631542 & 5.26659168138638 \tabularnewline
0.54 & 192.651489238363 & 4.7318797334112 \tabularnewline
0.55 & 193.408431438517 & 4.23383573896099 \tabularnewline
0.56 & 194.089074153966 & 3.78334586796435 \tabularnewline
0.57 & 194.701661272319 & 3.38638847799731 \tabularnewline
0.58 & 195.255190259353 & 3.04658195575604 \tabularnewline
0.59 & 195.758968856432 & 2.76424041729391 \tabularnewline
0.6 & 196.222268406848 & 2.53716474406602 \tabularnewline
0.61 & 196.654084901388 & 2.36278458662442 \tabularnewline
0.62 & 197.062995324295 & 2.23695263908510 \tabularnewline
0.63 & 197.457078606837 & 2.15673246616106 \tabularnewline
0.64 & 197.843860858986 & 2.11838980565309 \tabularnewline
0.65 & 198.230245597991 & 2.11891461859031 \tabularnewline
0.66 & 198.622401810656 & 2.15347527489196 \tabularnewline
0.67 & 199.025604415954 & 2.21677281458876 \tabularnewline
0.68 & 199.444049678194 & 2.30126478697555 \tabularnewline
0.69 & 199.880697226019 & 2.39791034020493 \tabularnewline
0.7 & 200.337214068815 & 2.49726535684423 \tabularnewline
0.71 & 200.814107352996 & 2.59005351511532 \tabularnewline
0.72 & 201.311125321872 & 2.66995146339763 \tabularnewline
0.73 & 201.827976240985 & 2.73419536909232 \tabularnewline
0.74 & 202.365363354003 & 2.78668250566911 \tabularnewline
0.75 & 202.926266256709 & 2.83917509700678 \tabularnewline
0.76 & 203.517327317711 & 2.91230394006203 \tabularnewline
0.77 & 204.150142246293 & 3.03503888676219 \tabularnewline
0.78 & 204.842223594888 & 3.2413274523237 \tabularnewline
0.79 & 205.617416673218 & 3.56368298876711 \tabularnewline
0.8 & 206.505599022415 & 4.02604100928355 \tabularnewline
0.81 & 207.541571218534 & 4.6387998477189 \tabularnewline
0.82 & 208.763119205523 & 5.39809738816004 \tabularnewline
0.83 & 210.208268663148 & 6.28660416583931 \tabularnewline
0.84 & 211.911758784657 & 7.27418259779557 \tabularnewline
0.85 & 213.900787660037 & 8.3166899873734 \tabularnewline
0.86 & 216.190231673149 & 9.35408616246285 \tabularnewline
0.87 & 218.777931403011 & 10.3081621786522 \tabularnewline
0.88 & 221.641272630021 & 11.0849522305009 \tabularnewline
0.89 & 224.736924961865 & 11.5866746153598 \tabularnewline
0.9 & 228.005663182354 & 11.7353162208389 \tabularnewline
0.91 & 231.382972424800 & 11.505600383511 \tabularnewline
0.92 & 234.813286006916 & 10.9527311276250 \tabularnewline
0.93 & 238.261974525267 & 10.2134681288747 \tabularnewline
0.94 & 241.716787437559 & 9.4522945442710 \tabularnewline
0.95 & 245.172075025471 & 8.75064847760998 \tabularnewline
0.96 & 248.595572720752 & 8.01023440881258 \tabularnewline
0.97 & 251.885628971001 & 7.00473921956523 \tabularnewline
0.98 & 254.833307373181 & 5.63061572283412 \tabularnewline
0.99 & 257.117542909573 & 4.2239800544973 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19420&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]93.9810685081312[/C][C]1.72141687750290[/C][/ROW]
[ROW][C]0.02[/C][C]94.7170826141708[/C][C]1.58993860873456[/C][/ROW]
[ROW][C]0.03[/C][C]95.5305105860571[/C][C]1.57330792577055[/C][/ROW]
[ROW][C]0.04[/C][C]96.3244633455938[/C][C]1.65541567614592[/C][/ROW]
[ROW][C]0.05[/C][C]97.0741700389702[/C][C]1.76696510401907[/C][/ROW]
[ROW][C]0.06[/C][C]97.7834429185747[/C][C]1.85372864703913[/C][/ROW]
[ROW][C]0.07[/C][C]98.4585880591194[/C][C]1.89610903713524[/C][/ROW]
[ROW][C]0.08[/C][C]99.103545141484[/C][C]1.90968052994593[/C][/ROW]
[ROW][C]0.09[/C][C]99.7248194976165[/C][C]1.9404133453096[/C][/ROW]
[ROW][C]0.1[/C][C]100.337432786344[/C][C]2.05852203534586[/C][/ROW]
[ROW][C]0.11[/C][C]100.968357729225[/C][C]2.34478491567028[/C][/ROW]
[ROW][C]0.12[/C][C]101.656906319218[/C][C]2.86745628329091[/C][/ROW]
[ROW][C]0.13[/C][C]102.452596265099[/C][C]3.66669032727977[/C][/ROW]
[ROW][C]0.14[/C][C]103.411210005684[/C][C]4.75429043331506[/C][/ROW]
[ROW][C]0.15[/C][C]104.589722835733[/C][C]6.11873415289823[/C][/ROW]
[ROW][C]0.16[/C][C]106.04073742392[/C][C]7.72514659602099[/C][/ROW]
[ROW][C]0.17[/C][C]107.807049681322[/C][C]9.5151880287351[/C][/ROW]
[ROW][C]0.18[/C][C]109.916950563009[/C][C]11.4095930686614[/C][/ROW]
[ROW][C]0.19[/C][C]112.380802243085[/C][C]13.3139300302395[/C][/ROW]
[ROW][C]0.2[/C][C]115.189296400939[/C][C]15.1265761348587[/C][/ROW]
[ROW][C]0.21[/C][C]118.313610435151[/C][C]16.7493321659762[/C][/ROW]
[ROW][C]0.22[/C][C]121.707445807470[/C][C]18.0966124966366[/C][/ROW]
[ROW][C]0.23[/C][C]125.310695164733[/C][C]19.1039176449577[/C][/ROW]
[ROW][C]0.24[/C][C]129.054280406658[/C][C]19.7342794367789[/C][/ROW]
[ROW][C]0.25[/C][C]132.865568469733[/C][C]19.9796936101408[/C][/ROW]
[ROW][C]0.26[/C][C]136.673729501937[/C][C]19.8600538480377[/C][/ROW]
[ROW][C]0.27[/C][C]140.414458860678[/C][C]19.4190808894854[/C][/ROW]
[ROW][C]0.28[/C][C]144.033624637044[/C][C]18.7177230113814[/C][/ROW]
[ROW][C]0.29[/C][C]147.489593774567[/C][C]17.8260156657735[/C][/ROW]
[ROW][C]0.3[/C][C]150.754191660540[/C][C]16.8164748172865[/C][/ROW]
[ROW][C]0.31[/C][C]153.812424299865[/C][C]15.7577861297924[/C][/ROW]
[ROW][C]0.32[/C][C]156.661212603468[/C][C]14.7096460948450[/C][/ROW]
[ROW][C]0.33[/C][C]159.307445165196[/C][C]13.7206652195556[/C][/ROW]
[ROW][C]0.34[/C][C]161.765655146503[/C][C]12.8269104817467[/C][/ROW]
[ROW][C]0.35[/C][C]164.055585300923[/C][C]12.0516407218512[/C][/ROW]
[ROW][C]0.36[/C][C]166.199843411876[/C][C]11.4059163094556[/C][/ROW]
[ROW][C]0.37[/C][C]168.221786777316[/C][C]10.8891290171020[/C][/ROW]
[ROW][C]0.38[/C][C]170.143720858499[/C][C]10.4910214623710[/C][/ROW]
[ROW][C]0.39[/C][C]171.985458531212[/C][C]10.1928728655102[/C][/ROW]
[ROW][C]0.4[/C][C]173.763261318177[/C][C]9.97024849678038[/C][/ROW]
[ROW][C]0.41[/C][C]175.489167981641[/C][C]9.79540491555469[/C][/ROW]
[ROW][C]0.42[/C][C]177.170703663098[/C][C]9.64000926983621[/C][/ROW]
[ROW][C]0.43[/C][C]178.810950335343[/C][C]9.47745190127684[/C][/ROW]
[ROW][C]0.44[/C][C]180.408944745009[/C][C]9.28496032700077[/C][/ROW]
[ROW][C]0.45[/C][C]181.960353447975[/C][C]9.04453977341038[/C][/ROW]
[ROW][C]0.46[/C][C]183.458357743307[/C][C]8.7446570650665[/C][/ROW]
[ROW][C]0.47[/C][C]184.894666940418[/C][C]8.38050365502384[/C][/ROW]
[ROW][C]0.48[/C][C]186.260569276567[/C][C]7.9533248280173[/C][/ROW]
[ROW][C]0.49[/C][C]187.547928340149[/C][C]7.47046001007099[/C][/ROW]
[ROW][C]0.5[/C][C]188.750040515475[/C][C]6.94399357725093[/C][/ROW]
[ROW][C]0.51[/C][C]189.862285880094[/C][C]6.38954158777301[/C][/ROW]
[ROW][C]0.52[/C][C]190.882529737111[/C][C]5.82471467798787[/C][/ROW]
[ROW][C]0.53[/C][C]191.811261631542[/C][C]5.26659168138638[/C][/ROW]
[ROW][C]0.54[/C][C]192.651489238363[/C][C]4.7318797334112[/C][/ROW]
[ROW][C]0.55[/C][C]193.408431438517[/C][C]4.23383573896099[/C][/ROW]
[ROW][C]0.56[/C][C]194.089074153966[/C][C]3.78334586796435[/C][/ROW]
[ROW][C]0.57[/C][C]194.701661272319[/C][C]3.38638847799731[/C][/ROW]
[ROW][C]0.58[/C][C]195.255190259353[/C][C]3.04658195575604[/C][/ROW]
[ROW][C]0.59[/C][C]195.758968856432[/C][C]2.76424041729391[/C][/ROW]
[ROW][C]0.6[/C][C]196.222268406848[/C][C]2.53716474406602[/C][/ROW]
[ROW][C]0.61[/C][C]196.654084901388[/C][C]2.36278458662442[/C][/ROW]
[ROW][C]0.62[/C][C]197.062995324295[/C][C]2.23695263908510[/C][/ROW]
[ROW][C]0.63[/C][C]197.457078606837[/C][C]2.15673246616106[/C][/ROW]
[ROW][C]0.64[/C][C]197.843860858986[/C][C]2.11838980565309[/C][/ROW]
[ROW][C]0.65[/C][C]198.230245597991[/C][C]2.11891461859031[/C][/ROW]
[ROW][C]0.66[/C][C]198.622401810656[/C][C]2.15347527489196[/C][/ROW]
[ROW][C]0.67[/C][C]199.025604415954[/C][C]2.21677281458876[/C][/ROW]
[ROW][C]0.68[/C][C]199.444049678194[/C][C]2.30126478697555[/C][/ROW]
[ROW][C]0.69[/C][C]199.880697226019[/C][C]2.39791034020493[/C][/ROW]
[ROW][C]0.7[/C][C]200.337214068815[/C][C]2.49726535684423[/C][/ROW]
[ROW][C]0.71[/C][C]200.814107352996[/C][C]2.59005351511532[/C][/ROW]
[ROW][C]0.72[/C][C]201.311125321872[/C][C]2.66995146339763[/C][/ROW]
[ROW][C]0.73[/C][C]201.827976240985[/C][C]2.73419536909232[/C][/ROW]
[ROW][C]0.74[/C][C]202.365363354003[/C][C]2.78668250566911[/C][/ROW]
[ROW][C]0.75[/C][C]202.926266256709[/C][C]2.83917509700678[/C][/ROW]
[ROW][C]0.76[/C][C]203.517327317711[/C][C]2.91230394006203[/C][/ROW]
[ROW][C]0.77[/C][C]204.150142246293[/C][C]3.03503888676219[/C][/ROW]
[ROW][C]0.78[/C][C]204.842223594888[/C][C]3.2413274523237[/C][/ROW]
[ROW][C]0.79[/C][C]205.617416673218[/C][C]3.56368298876711[/C][/ROW]
[ROW][C]0.8[/C][C]206.505599022415[/C][C]4.02604100928355[/C][/ROW]
[ROW][C]0.81[/C][C]207.541571218534[/C][C]4.6387998477189[/C][/ROW]
[ROW][C]0.82[/C][C]208.763119205523[/C][C]5.39809738816004[/C][/ROW]
[ROW][C]0.83[/C][C]210.208268663148[/C][C]6.28660416583931[/C][/ROW]
[ROW][C]0.84[/C][C]211.911758784657[/C][C]7.27418259779557[/C][/ROW]
[ROW][C]0.85[/C][C]213.900787660037[/C][C]8.3166899873734[/C][/ROW]
[ROW][C]0.86[/C][C]216.190231673149[/C][C]9.35408616246285[/C][/ROW]
[ROW][C]0.87[/C][C]218.777931403011[/C][C]10.3081621786522[/C][/ROW]
[ROW][C]0.88[/C][C]221.641272630021[/C][C]11.0849522305009[/C][/ROW]
[ROW][C]0.89[/C][C]224.736924961865[/C][C]11.5866746153598[/C][/ROW]
[ROW][C]0.9[/C][C]228.005663182354[/C][C]11.7353162208389[/C][/ROW]
[ROW][C]0.91[/C][C]231.382972424800[/C][C]11.505600383511[/C][/ROW]
[ROW][C]0.92[/C][C]234.813286006916[/C][C]10.9527311276250[/C][/ROW]
[ROW][C]0.93[/C][C]238.261974525267[/C][C]10.2134681288747[/C][/ROW]
[ROW][C]0.94[/C][C]241.716787437559[/C][C]9.4522945442710[/C][/ROW]
[ROW][C]0.95[/C][C]245.172075025471[/C][C]8.75064847760998[/C][/ROW]
[ROW][C]0.96[/C][C]248.595572720752[/C][C]8.01023440881258[/C][/ROW]
[ROW][C]0.97[/C][C]251.885628971001[/C][C]7.00473921956523[/C][/ROW]
[ROW][C]0.98[/C][C]254.833307373181[/C][C]5.63061572283412[/C][/ROW]
[ROW][C]0.99[/C][C]257.117542909573[/C][C]4.2239800544973[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19420&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19420&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
0.0193.98106850813121.72141687750290
0.0294.71708261417081.58993860873456
0.0395.53051058605711.57330792577055
0.0496.32446334559381.65541567614592
0.0597.07417003897021.76696510401907
0.0697.78344291857471.85372864703913
0.0798.45858805911941.89610903713524
0.0899.1035451414841.90968052994593
0.0999.72481949761651.9404133453096
0.1100.3374327863442.05852203534586
0.11100.9683577292252.34478491567028
0.12101.6569063192182.86745628329091
0.13102.4525962650993.66669032727977
0.14103.4112100056844.75429043331506
0.15104.5897228357336.11873415289823
0.16106.040737423927.72514659602099
0.17107.8070496813229.5151880287351
0.18109.91695056300911.4095930686614
0.19112.38080224308513.3139300302395
0.2115.18929640093915.1265761348587
0.21118.31361043515116.7493321659762
0.22121.70744580747018.0966124966366
0.23125.31069516473319.1039176449577
0.24129.05428040665819.7342794367789
0.25132.86556846973319.9796936101408
0.26136.67372950193719.8600538480377
0.27140.41445886067819.4190808894854
0.28144.03362463704418.7177230113814
0.29147.48959377456717.8260156657735
0.3150.75419166054016.8164748172865
0.31153.81242429986515.7577861297924
0.32156.66121260346814.7096460948450
0.33159.30744516519613.7206652195556
0.34161.76565514650312.8269104817467
0.35164.05558530092312.0516407218512
0.36166.19984341187611.4059163094556
0.37168.22178677731610.8891290171020
0.38170.14372085849910.4910214623710
0.39171.98545853121210.1928728655102
0.4173.7632613181779.97024849678038
0.41175.4891679816419.79540491555469
0.42177.1707036630989.64000926983621
0.43178.8109503353439.47745190127684
0.44180.4089447450099.28496032700077
0.45181.9603534479759.04453977341038
0.46183.4583577433078.7446570650665
0.47184.8946669404188.38050365502384
0.48186.2605692765677.9533248280173
0.49187.5479283401497.47046001007099
0.5188.7500405154756.94399357725093
0.51189.8622858800946.38954158777301
0.52190.8825297371115.82471467798787
0.53191.8112616315425.26659168138638
0.54192.6514892383634.7318797334112
0.55193.4084314385174.23383573896099
0.56194.0890741539663.78334586796435
0.57194.7016612723193.38638847799731
0.58195.2551902593533.04658195575604
0.59195.7589688564322.76424041729391
0.6196.2222684068482.53716474406602
0.61196.6540849013882.36278458662442
0.62197.0629953242952.23695263908510
0.63197.4570786068372.15673246616106
0.64197.8438608589862.11838980565309
0.65198.2302455979912.11891461859031
0.66198.6224018106562.15347527489196
0.67199.0256044159542.21677281458876
0.68199.4440496781942.30126478697555
0.69199.8806972260192.39791034020493
0.7200.3372140688152.49726535684423
0.71200.8141073529962.59005351511532
0.72201.3111253218722.66995146339763
0.73201.8279762409852.73419536909232
0.74202.3653633540032.78668250566911
0.75202.9262662567092.83917509700678
0.76203.5173273177112.91230394006203
0.77204.1501422462933.03503888676219
0.78204.8422235948883.2413274523237
0.79205.6174166732183.56368298876711
0.8206.5055990224154.02604100928355
0.81207.5415712185344.6387998477189
0.82208.7631192055235.39809738816004
0.83210.2082686631486.28660416583931
0.84211.9117587846577.27418259779557
0.85213.9007876600378.3166899873734
0.86216.1902316731499.35408616246285
0.87218.77793140301110.3081621786522
0.88221.64127263002111.0849522305009
0.89224.73692496186511.5866746153598
0.9228.00566318235411.7353162208389
0.91231.38297242480011.505600383511
0.92234.81328600691610.9527311276250
0.93238.26197452526710.2134681288747
0.94241.7167874375599.4522945442710
0.95245.1720750254718.75064847760998
0.96248.5955727207528.01023440881258
0.97251.8856289710017.00473921956523
0.98254.8333073731815.63061572283412
0.99257.1175429095734.2239800544973


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')