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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 computationFri, 02 Jul 2010 11:30:00 +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/2010/Jul/02/t1278070265rmmt00g1fkgipcv.htm/, Retrieved Fri, 03 May 2024 15:26:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=77910, Retrieved Fri, 03 May 2024 15:26:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSteffi Poppe
Estimated Impact188

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] [Tijdreeks2-Stap7] [2010-07-02 11:30:00] [b37bab310ab56201887748d7a7c0dc58] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
59
58
57
55
53
52
53
55
56
56
57
59
68
68
68
70
66
64
72
80
84
82
83
86
99
100
95
98
103
107
114
123
132
137
141
146
156
156
143
143
151
149
156
166
177
180
189
195
205
209
199
191
198
200
208
224
234
243
249
258
274
270
261
258
261
258
264
270
267
287
297
306
322
323
309
303
306
301
316
327
330
342
359
379

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77910&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77910&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77910&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0152.37392331640910.851242215513935
0.0252.94778369179750.90820153616327
0.0353.57455826841671.11201609482662
0.0454.20402008872741.23249149844101
0.0554.81434115793751.25594224542764
0.0655.39598094313761.28388030913326
0.0755.96158521139521.40494900029753
0.0856.54353878059931.65773190724220
0.0957.1821216104952.0444596181692
0.157.91457313417452.54324547762486
0.1158.7681355277263.11396149024823
0.1259.75654100867773.70493738822817
0.1360.87967774206534.26721372498420
0.1462.12654603598484.77053318901634
0.1563.48086244574185.2133812274887
0.1664.92754440256075.6234697991978
0.1766.45783660335966.04424987561557
0.1868.07141990281916.51593811921454
0.1969.77515441414047.05808280801796
0.271.5794542447197.6643274614223
0.2173.49404812791818.30898010019815
0.2275.52480800542428.96084162361423
0.2377.67261358695699.59511752820949
0.2479.934295542170910.2014920629516
0.2582.3049758977210.7844642211265
0.2684.78081287617411.3612355223279
0.2787.361236284458911.9555516659642
0.2890.050063027874612.5925564529234
0.2992.855231907355713.2915505121711
0.395.78719002281714.0607975913980
0.3198.856186255865114.8916747882396
0.32102.06891041479415.7552619565092
0.33105.42507522483216.6032193845083
0.34108.91464382384017.3730180748025
0.35112.51639792084317.9977781209819
0.36116.19837127375318.4183562872668
0.37119.92033971980618.5948662116864
0.38123.63812756521418.5166384634709
0.39127.30907202796218.2053389972047
0.4130.89769933872117.7150215320766
0.41134.38058722980117.1242680766487
0.42137.74953484601616.5262522083939
0.43141.01248564054416.0148216347723
0.44144.19206424059015.6702141751060
0.45147.32199911908515.5466173239403
0.46150.44203334292115.6626833698754
0.47153.59213329079415.999046713662
0.48156.80687958755016.5036047053810
0.49160.11087573659317.1014216296308
0.5163.51585618499917.7090457873557
0.51167.01993590682318.2468458722440
0.52170.60913871021518.6517321041533
0.53174.26099913656318.8869370236266
0.54177.94969276792918.9480982125282
0.55181.65186311415818.8658162715555
0.56185.35213486583918.7000072827337
0.57189.04727921750418.5333208603997
0.58192.74815145642918.4560819002529
0.59196.47884758921918.5468281850517
0.6200.27298568060418.8551925630335
0.61204.16753985913319.3857047595217
0.62208.19515185150020.0917148081126
0.63212.37622114448120.8816922409255
0.64216.71224479782721.6322806302823
0.65221.18178367499422.2102654827131
0.66225.74006094639522.4929448835985
0.67230.32259648698622.3898859419336
0.68234.85255133552321.8569374634076
0.69239.25074681089220.9065463194219
0.7243.44679015613319.6065337533206
0.71247.38950563504518.0734176187510
0.72251.05498506188716.4563589121712
0.73254.45098830953914.9195518773453
0.74257.61701556783213.6219724433086
0.75260.61998200870912.6969395548000
0.76263.54593448745212.2300768205933
0.77266.48863699274012.2363429114222
0.78269.53619594704212.6528131978161
0.79272.75731292811813.3447269865746
0.8276.18927176321714.1318729730134
0.81279.83022468349714.8173992740916
0.82283.63836141010515.2221616379878
0.83287.53967702693215.2214617673125
0.84291.44406292628314.7751816142958
0.85295.26661725404913.9434614533577
0.86298.94836980338912.8765424399865
0.87302.46949721199811.7745751105839
0.88305.84993865442610.8228119036426
0.89309.1375481802910.1183528453450
0.9312.3912671053229.6364575945429
0.91315.6730752106249.2774033834765
0.92319.0633264702548.98630733326238
0.93322.7057667787898.8766570421761
0.94326.8706245825129.27311616240735
0.95332.00272807608910.5483260717679
0.96338.70732652231812.7346071680530
0.97347.60203332159715.2524669332366
0.98358.82458438080817.2156574590099
0.99370.79808824998318.5465882393726

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 52.3739233164091 & 0.851242215513935 \tabularnewline
0.02 & 52.9477836917975 & 0.90820153616327 \tabularnewline
0.03 & 53.5745582684167 & 1.11201609482662 \tabularnewline
0.04 & 54.2040200887274 & 1.23249149844101 \tabularnewline
0.05 & 54.8143411579375 & 1.25594224542764 \tabularnewline
0.06 & 55.3959809431376 & 1.28388030913326 \tabularnewline
0.07 & 55.9615852113952 & 1.40494900029753 \tabularnewline
0.08 & 56.5435387805993 & 1.65773190724220 \tabularnewline
0.09 & 57.182121610495 & 2.0444596181692 \tabularnewline
0.1 & 57.9145731341745 & 2.54324547762486 \tabularnewline
0.11 & 58.768135527726 & 3.11396149024823 \tabularnewline
0.12 & 59.7565410086777 & 3.70493738822817 \tabularnewline
0.13 & 60.8796777420653 & 4.26721372498420 \tabularnewline
0.14 & 62.1265460359848 & 4.77053318901634 \tabularnewline
0.15 & 63.4808624457418 & 5.2133812274887 \tabularnewline
0.16 & 64.9275444025607 & 5.6234697991978 \tabularnewline
0.17 & 66.4578366033596 & 6.04424987561557 \tabularnewline
0.18 & 68.0714199028191 & 6.51593811921454 \tabularnewline
0.19 & 69.7751544141404 & 7.05808280801796 \tabularnewline
0.2 & 71.579454244719 & 7.6643274614223 \tabularnewline
0.21 & 73.4940481279181 & 8.30898010019815 \tabularnewline
0.22 & 75.5248080054242 & 8.96084162361423 \tabularnewline
0.23 & 77.6726135869569 & 9.59511752820949 \tabularnewline
0.24 & 79.9342955421709 & 10.2014920629516 \tabularnewline
0.25 & 82.30497589772 & 10.7844642211265 \tabularnewline
0.26 & 84.780812876174 & 11.3612355223279 \tabularnewline
0.27 & 87.3612362844589 & 11.9555516659642 \tabularnewline
0.28 & 90.0500630278746 & 12.5925564529234 \tabularnewline
0.29 & 92.8552319073557 & 13.2915505121711 \tabularnewline
0.3 & 95.787190022817 & 14.0607975913980 \tabularnewline
0.31 & 98.8561862558651 & 14.8916747882396 \tabularnewline
0.32 & 102.068910414794 & 15.7552619565092 \tabularnewline
0.33 & 105.425075224832 & 16.6032193845083 \tabularnewline
0.34 & 108.914643823840 & 17.3730180748025 \tabularnewline
0.35 & 112.516397920843 & 17.9977781209819 \tabularnewline
0.36 & 116.198371273753 & 18.4183562872668 \tabularnewline
0.37 & 119.920339719806 & 18.5948662116864 \tabularnewline
0.38 & 123.638127565214 & 18.5166384634709 \tabularnewline
0.39 & 127.309072027962 & 18.2053389972047 \tabularnewline
0.4 & 130.897699338721 & 17.7150215320766 \tabularnewline
0.41 & 134.380587229801 & 17.1242680766487 \tabularnewline
0.42 & 137.749534846016 & 16.5262522083939 \tabularnewline
0.43 & 141.012485640544 & 16.0148216347723 \tabularnewline
0.44 & 144.192064240590 & 15.6702141751060 \tabularnewline
0.45 & 147.321999119085 & 15.5466173239403 \tabularnewline
0.46 & 150.442033342921 & 15.6626833698754 \tabularnewline
0.47 & 153.592133290794 & 15.999046713662 \tabularnewline
0.48 & 156.806879587550 & 16.5036047053810 \tabularnewline
0.49 & 160.110875736593 & 17.1014216296308 \tabularnewline
0.5 & 163.515856184999 & 17.7090457873557 \tabularnewline
0.51 & 167.019935906823 & 18.2468458722440 \tabularnewline
0.52 & 170.609138710215 & 18.6517321041533 \tabularnewline
0.53 & 174.260999136563 & 18.8869370236266 \tabularnewline
0.54 & 177.949692767929 & 18.9480982125282 \tabularnewline
0.55 & 181.651863114158 & 18.8658162715555 \tabularnewline
0.56 & 185.352134865839 & 18.7000072827337 \tabularnewline
0.57 & 189.047279217504 & 18.5333208603997 \tabularnewline
0.58 & 192.748151456429 & 18.4560819002529 \tabularnewline
0.59 & 196.478847589219 & 18.5468281850517 \tabularnewline
0.6 & 200.272985680604 & 18.8551925630335 \tabularnewline
0.61 & 204.167539859133 & 19.3857047595217 \tabularnewline
0.62 & 208.195151851500 & 20.0917148081126 \tabularnewline
0.63 & 212.376221144481 & 20.8816922409255 \tabularnewline
0.64 & 216.712244797827 & 21.6322806302823 \tabularnewline
0.65 & 221.181783674994 & 22.2102654827131 \tabularnewline
0.66 & 225.740060946395 & 22.4929448835985 \tabularnewline
0.67 & 230.322596486986 & 22.3898859419336 \tabularnewline
0.68 & 234.852551335523 & 21.8569374634076 \tabularnewline
0.69 & 239.250746810892 & 20.9065463194219 \tabularnewline
0.7 & 243.446790156133 & 19.6065337533206 \tabularnewline
0.71 & 247.389505635045 & 18.0734176187510 \tabularnewline
0.72 & 251.054985061887 & 16.4563589121712 \tabularnewline
0.73 & 254.450988309539 & 14.9195518773453 \tabularnewline
0.74 & 257.617015567832 & 13.6219724433086 \tabularnewline
0.75 & 260.619982008709 & 12.6969395548000 \tabularnewline
0.76 & 263.545934487452 & 12.2300768205933 \tabularnewline
0.77 & 266.488636992740 & 12.2363429114222 \tabularnewline
0.78 & 269.536195947042 & 12.6528131978161 \tabularnewline
0.79 & 272.757312928118 & 13.3447269865746 \tabularnewline
0.8 & 276.189271763217 & 14.1318729730134 \tabularnewline
0.81 & 279.830224683497 & 14.8173992740916 \tabularnewline
0.82 & 283.638361410105 & 15.2221616379878 \tabularnewline
0.83 & 287.539677026932 & 15.2214617673125 \tabularnewline
0.84 & 291.444062926283 & 14.7751816142958 \tabularnewline
0.85 & 295.266617254049 & 13.9434614533577 \tabularnewline
0.86 & 298.948369803389 & 12.8765424399865 \tabularnewline
0.87 & 302.469497211998 & 11.7745751105839 \tabularnewline
0.88 & 305.849938654426 & 10.8228119036426 \tabularnewline
0.89 & 309.13754818029 & 10.1183528453450 \tabularnewline
0.9 & 312.391267105322 & 9.6364575945429 \tabularnewline
0.91 & 315.673075210624 & 9.2774033834765 \tabularnewline
0.92 & 319.063326470254 & 8.98630733326238 \tabularnewline
0.93 & 322.705766778789 & 8.8766570421761 \tabularnewline
0.94 & 326.870624582512 & 9.27311616240735 \tabularnewline
0.95 & 332.002728076089 & 10.5483260717679 \tabularnewline
0.96 & 338.707326522318 & 12.7346071680530 \tabularnewline
0.97 & 347.602033321597 & 15.2524669332366 \tabularnewline
0.98 & 358.824584380808 & 17.2156574590099 \tabularnewline
0.99 & 370.798088249983 & 18.5465882393726 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77910&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]52.3739233164091[/C][C]0.851242215513935[/C][/ROW]
[ROW][C]0.02[/C][C]52.9477836917975[/C][C]0.90820153616327[/C][/ROW]
[ROW][C]0.03[/C][C]53.5745582684167[/C][C]1.11201609482662[/C][/ROW]
[ROW][C]0.04[/C][C]54.2040200887274[/C][C]1.23249149844101[/C][/ROW]
[ROW][C]0.05[/C][C]54.8143411579375[/C][C]1.25594224542764[/C][/ROW]
[ROW][C]0.06[/C][C]55.3959809431376[/C][C]1.28388030913326[/C][/ROW]
[ROW][C]0.07[/C][C]55.9615852113952[/C][C]1.40494900029753[/C][/ROW]
[ROW][C]0.08[/C][C]56.5435387805993[/C][C]1.65773190724220[/C][/ROW]
[ROW][C]0.09[/C][C]57.182121610495[/C][C]2.0444596181692[/C][/ROW]
[ROW][C]0.1[/C][C]57.9145731341745[/C][C]2.54324547762486[/C][/ROW]
[ROW][C]0.11[/C][C]58.768135527726[/C][C]3.11396149024823[/C][/ROW]
[ROW][C]0.12[/C][C]59.7565410086777[/C][C]3.70493738822817[/C][/ROW]
[ROW][C]0.13[/C][C]60.8796777420653[/C][C]4.26721372498420[/C][/ROW]
[ROW][C]0.14[/C][C]62.1265460359848[/C][C]4.77053318901634[/C][/ROW]
[ROW][C]0.15[/C][C]63.4808624457418[/C][C]5.2133812274887[/C][/ROW]
[ROW][C]0.16[/C][C]64.9275444025607[/C][C]5.6234697991978[/C][/ROW]
[ROW][C]0.17[/C][C]66.4578366033596[/C][C]6.04424987561557[/C][/ROW]
[ROW][C]0.18[/C][C]68.0714199028191[/C][C]6.51593811921454[/C][/ROW]
[ROW][C]0.19[/C][C]69.7751544141404[/C][C]7.05808280801796[/C][/ROW]
[ROW][C]0.2[/C][C]71.579454244719[/C][C]7.6643274614223[/C][/ROW]
[ROW][C]0.21[/C][C]73.4940481279181[/C][C]8.30898010019815[/C][/ROW]
[ROW][C]0.22[/C][C]75.5248080054242[/C][C]8.96084162361423[/C][/ROW]
[ROW][C]0.23[/C][C]77.6726135869569[/C][C]9.59511752820949[/C][/ROW]
[ROW][C]0.24[/C][C]79.9342955421709[/C][C]10.2014920629516[/C][/ROW]
[ROW][C]0.25[/C][C]82.30497589772[/C][C]10.7844642211265[/C][/ROW]
[ROW][C]0.26[/C][C]84.780812876174[/C][C]11.3612355223279[/C][/ROW]
[ROW][C]0.27[/C][C]87.3612362844589[/C][C]11.9555516659642[/C][/ROW]
[ROW][C]0.28[/C][C]90.0500630278746[/C][C]12.5925564529234[/C][/ROW]
[ROW][C]0.29[/C][C]92.8552319073557[/C][C]13.2915505121711[/C][/ROW]
[ROW][C]0.3[/C][C]95.787190022817[/C][C]14.0607975913980[/C][/ROW]
[ROW][C]0.31[/C][C]98.8561862558651[/C][C]14.8916747882396[/C][/ROW]
[ROW][C]0.32[/C][C]102.068910414794[/C][C]15.7552619565092[/C][/ROW]
[ROW][C]0.33[/C][C]105.425075224832[/C][C]16.6032193845083[/C][/ROW]
[ROW][C]0.34[/C][C]108.914643823840[/C][C]17.3730180748025[/C][/ROW]
[ROW][C]0.35[/C][C]112.516397920843[/C][C]17.9977781209819[/C][/ROW]
[ROW][C]0.36[/C][C]116.198371273753[/C][C]18.4183562872668[/C][/ROW]
[ROW][C]0.37[/C][C]119.920339719806[/C][C]18.5948662116864[/C][/ROW]
[ROW][C]0.38[/C][C]123.638127565214[/C][C]18.5166384634709[/C][/ROW]
[ROW][C]0.39[/C][C]127.309072027962[/C][C]18.2053389972047[/C][/ROW]
[ROW][C]0.4[/C][C]130.897699338721[/C][C]17.7150215320766[/C][/ROW]
[ROW][C]0.41[/C][C]134.380587229801[/C][C]17.1242680766487[/C][/ROW]
[ROW][C]0.42[/C][C]137.749534846016[/C][C]16.5262522083939[/C][/ROW]
[ROW][C]0.43[/C][C]141.012485640544[/C][C]16.0148216347723[/C][/ROW]
[ROW][C]0.44[/C][C]144.192064240590[/C][C]15.6702141751060[/C][/ROW]
[ROW][C]0.45[/C][C]147.321999119085[/C][C]15.5466173239403[/C][/ROW]
[ROW][C]0.46[/C][C]150.442033342921[/C][C]15.6626833698754[/C][/ROW]
[ROW][C]0.47[/C][C]153.592133290794[/C][C]15.999046713662[/C][/ROW]
[ROW][C]0.48[/C][C]156.806879587550[/C][C]16.5036047053810[/C][/ROW]
[ROW][C]0.49[/C][C]160.110875736593[/C][C]17.1014216296308[/C][/ROW]
[ROW][C]0.5[/C][C]163.515856184999[/C][C]17.7090457873557[/C][/ROW]
[ROW][C]0.51[/C][C]167.019935906823[/C][C]18.2468458722440[/C][/ROW]
[ROW][C]0.52[/C][C]170.609138710215[/C][C]18.6517321041533[/C][/ROW]
[ROW][C]0.53[/C][C]174.260999136563[/C][C]18.8869370236266[/C][/ROW]
[ROW][C]0.54[/C][C]177.949692767929[/C][C]18.9480982125282[/C][/ROW]
[ROW][C]0.55[/C][C]181.651863114158[/C][C]18.8658162715555[/C][/ROW]
[ROW][C]0.56[/C][C]185.352134865839[/C][C]18.7000072827337[/C][/ROW]
[ROW][C]0.57[/C][C]189.047279217504[/C][C]18.5333208603997[/C][/ROW]
[ROW][C]0.58[/C][C]192.748151456429[/C][C]18.4560819002529[/C][/ROW]
[ROW][C]0.59[/C][C]196.478847589219[/C][C]18.5468281850517[/C][/ROW]
[ROW][C]0.6[/C][C]200.272985680604[/C][C]18.8551925630335[/C][/ROW]
[ROW][C]0.61[/C][C]204.167539859133[/C][C]19.3857047595217[/C][/ROW]
[ROW][C]0.62[/C][C]208.195151851500[/C][C]20.0917148081126[/C][/ROW]
[ROW][C]0.63[/C][C]212.376221144481[/C][C]20.8816922409255[/C][/ROW]
[ROW][C]0.64[/C][C]216.712244797827[/C][C]21.6322806302823[/C][/ROW]
[ROW][C]0.65[/C][C]221.181783674994[/C][C]22.2102654827131[/C][/ROW]
[ROW][C]0.66[/C][C]225.740060946395[/C][C]22.4929448835985[/C][/ROW]
[ROW][C]0.67[/C][C]230.322596486986[/C][C]22.3898859419336[/C][/ROW]
[ROW][C]0.68[/C][C]234.852551335523[/C][C]21.8569374634076[/C][/ROW]
[ROW][C]0.69[/C][C]239.250746810892[/C][C]20.9065463194219[/C][/ROW]
[ROW][C]0.7[/C][C]243.446790156133[/C][C]19.6065337533206[/C][/ROW]
[ROW][C]0.71[/C][C]247.389505635045[/C][C]18.0734176187510[/C][/ROW]
[ROW][C]0.72[/C][C]251.054985061887[/C][C]16.4563589121712[/C][/ROW]
[ROW][C]0.73[/C][C]254.450988309539[/C][C]14.9195518773453[/C][/ROW]
[ROW][C]0.74[/C][C]257.617015567832[/C][C]13.6219724433086[/C][/ROW]
[ROW][C]0.75[/C][C]260.619982008709[/C][C]12.6969395548000[/C][/ROW]
[ROW][C]0.76[/C][C]263.545934487452[/C][C]12.2300768205933[/C][/ROW]
[ROW][C]0.77[/C][C]266.488636992740[/C][C]12.2363429114222[/C][/ROW]
[ROW][C]0.78[/C][C]269.536195947042[/C][C]12.6528131978161[/C][/ROW]
[ROW][C]0.79[/C][C]272.757312928118[/C][C]13.3447269865746[/C][/ROW]
[ROW][C]0.8[/C][C]276.189271763217[/C][C]14.1318729730134[/C][/ROW]
[ROW][C]0.81[/C][C]279.830224683497[/C][C]14.8173992740916[/C][/ROW]
[ROW][C]0.82[/C][C]283.638361410105[/C][C]15.2221616379878[/C][/ROW]
[ROW][C]0.83[/C][C]287.539677026932[/C][C]15.2214617673125[/C][/ROW]
[ROW][C]0.84[/C][C]291.444062926283[/C][C]14.7751816142958[/C][/ROW]
[ROW][C]0.85[/C][C]295.266617254049[/C][C]13.9434614533577[/C][/ROW]
[ROW][C]0.86[/C][C]298.948369803389[/C][C]12.8765424399865[/C][/ROW]
[ROW][C]0.87[/C][C]302.469497211998[/C][C]11.7745751105839[/C][/ROW]
[ROW][C]0.88[/C][C]305.849938654426[/C][C]10.8228119036426[/C][/ROW]
[ROW][C]0.89[/C][C]309.13754818029[/C][C]10.1183528453450[/C][/ROW]
[ROW][C]0.9[/C][C]312.391267105322[/C][C]9.6364575945429[/C][/ROW]
[ROW][C]0.91[/C][C]315.673075210624[/C][C]9.2774033834765[/C][/ROW]
[ROW][C]0.92[/C][C]319.063326470254[/C][C]8.98630733326238[/C][/ROW]
[ROW][C]0.93[/C][C]322.705766778789[/C][C]8.8766570421761[/C][/ROW]
[ROW][C]0.94[/C][C]326.870624582512[/C][C]9.27311616240735[/C][/ROW]
[ROW][C]0.95[/C][C]332.002728076089[/C][C]10.5483260717679[/C][/ROW]
[ROW][C]0.96[/C][C]338.707326522318[/C][C]12.7346071680530[/C][/ROW]
[ROW][C]0.97[/C][C]347.602033321597[/C][C]15.2524669332366[/C][/ROW]
[ROW][C]0.98[/C][C]358.824584380808[/C][C]17.2156574590099[/C][/ROW]
[ROW][C]0.99[/C][C]370.798088249983[/C][C]18.5465882393726[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77910&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77910&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
0.0152.37392331640910.851242215513935
0.0252.94778369179750.90820153616327
0.0353.57455826841671.11201609482662
0.0454.20402008872741.23249149844101
0.0554.81434115793751.25594224542764
0.0655.39598094313761.28388030913326
0.0755.96158521139521.40494900029753
0.0856.54353878059931.65773190724220
0.0957.1821216104952.0444596181692
0.157.91457313417452.54324547762486
0.1158.7681355277263.11396149024823
0.1259.75654100867773.70493738822817
0.1360.87967774206534.26721372498420
0.1462.12654603598484.77053318901634
0.1563.48086244574185.2133812274887
0.1664.92754440256075.6234697991978
0.1766.45783660335966.04424987561557
0.1868.07141990281916.51593811921454
0.1969.77515441414047.05808280801796
0.271.5794542447197.6643274614223
0.2173.49404812791818.30898010019815
0.2275.52480800542428.96084162361423
0.2377.67261358695699.59511752820949
0.2479.934295542170910.2014920629516
0.2582.3049758977210.7844642211265
0.2684.78081287617411.3612355223279
0.2787.361236284458911.9555516659642
0.2890.050063027874612.5925564529234
0.2992.855231907355713.2915505121711
0.395.78719002281714.0607975913980
0.3198.856186255865114.8916747882396
0.32102.06891041479415.7552619565092
0.33105.42507522483216.6032193845083
0.34108.91464382384017.3730180748025
0.35112.51639792084317.9977781209819
0.36116.19837127375318.4183562872668
0.37119.92033971980618.5948662116864
0.38123.63812756521418.5166384634709
0.39127.30907202796218.2053389972047
0.4130.89769933872117.7150215320766
0.41134.38058722980117.1242680766487
0.42137.74953484601616.5262522083939
0.43141.01248564054416.0148216347723
0.44144.19206424059015.6702141751060
0.45147.32199911908515.5466173239403
0.46150.44203334292115.6626833698754
0.47153.59213329079415.999046713662
0.48156.80687958755016.5036047053810
0.49160.11087573659317.1014216296308
0.5163.51585618499917.7090457873557
0.51167.01993590682318.2468458722440
0.52170.60913871021518.6517321041533
0.53174.26099913656318.8869370236266
0.54177.94969276792918.9480982125282
0.55181.65186311415818.8658162715555
0.56185.35213486583918.7000072827337
0.57189.04727921750418.5333208603997
0.58192.74815145642918.4560819002529
0.59196.47884758921918.5468281850517
0.6200.27298568060418.8551925630335
0.61204.16753985913319.3857047595217
0.62208.19515185150020.0917148081126
0.63212.37622114448120.8816922409255
0.64216.71224479782721.6322806302823
0.65221.18178367499422.2102654827131
0.66225.74006094639522.4929448835985
0.67230.32259648698622.3898859419336
0.68234.85255133552321.8569374634076
0.69239.25074681089220.9065463194219
0.7243.44679015613319.6065337533206
0.71247.38950563504518.0734176187510
0.72251.05498506188716.4563589121712
0.73254.45098830953914.9195518773453
0.74257.61701556783213.6219724433086
0.75260.61998200870912.6969395548000
0.76263.54593448745212.2300768205933
0.77266.48863699274012.2363429114222
0.78269.53619594704212.6528131978161
0.79272.75731292811813.3447269865746
0.8276.18927176321714.1318729730134
0.81279.83022468349714.8173992740916
0.82283.63836141010515.2221616379878
0.83287.53967702693215.2214617673125
0.84291.44406292628314.7751816142958
0.85295.26661725404913.9434614533577
0.86298.94836980338912.8765424399865
0.87302.46949721199811.7745751105839
0.88305.84993865442610.8228119036426
0.89309.1375481802910.1183528453450
0.9312.3912671053229.6364575945429
0.91315.6730752106249.2774033834765
0.92319.0633264702548.98630733326238
0.93322.7057667787898.8766570421761
0.94326.8706245825129.27311616240735
0.95332.00272807608910.5483260717679
0.96338.70732652231812.7346071680530
0.97347.60203332159715.2524669332366
0.98358.82458438080817.2156574590099
0.99370.79808824998318.5465882393726


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')