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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 computationSun, 15 Aug 2010 12:47:57 +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/Aug/15/t1281876496m8sszkne4h095au.htm/, Retrieved Sun, 28 Apr 2024 08:35:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78845, Retrieved Sun, 28 Apr 2024 08:35:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsmagali de reu
Estimated Impact154

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] [tijdreeks 1 stap 11] [2010-08-15 12:47:57] [07915b1f88a41fb8d82e27c5eaa7bbed] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
333
332
331
329
349
348
333
323
324
324
325
327
329
333
329
333
355
358
338
326
320
322
322
324
326
330
331
333
364
363
341
327
313
321
312
312
312
314
312
319
356
351
329
313
298
303
278
275
276
276
273
287
320
313
281
266
258
259
237
231
237
236
229
243
271
262
227
208
212
222
200
193
204
203
190
209
240
234
210
195
202
204
180
169
178
181
163
174
194
187
160
143
151
154
141
127
134
138
120
129
151
152
124
99
104
109
96
87
94
89
63
76
100
104
80
55
60
71
62
61

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=78845&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=78845&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78845&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
0.0157.66192544376813.37820140195682
0.0260.87720706515293.38072724553727
0.0364.15259008130325.67806532932806
0.0468.22679973815468.24302268639427
0.0573.1330908565359.9176493185866
0.0678.392051625785110.5269335332916
0.0783.53490349053410.4335919618580
0.0888.322726173335810.1061132866501
0.0992.74070441538249.94458398878672
0.196.916437742733910.2123900523418
0.11101.03232212880710.9684561683549
0.12105.25111622074912.0570803581356
0.13109.66527817982713.2025005489259
0.14114.27987237163114.1431661936697
0.15119.02912425157614.7292245606998
0.16123.81368443296014.9502697337842
0.17128.53965729842714.9015371887499
0.18133.14473950364914.7229896926763
0.19137.60669251627914.5443458646564
0.2141.93778010669014.4575214764818
0.21146.17198782720014.5073489132919
0.22150.35070169273014.6938329940936
0.23154.51007524276214.9755335180347
0.24158.67168616381515.2794326834516
0.25162.83747569257815.5210992587153
0.26166.98953024633615.6251947648872
0.27171.09441263355315.5435259879001
0.28175.11066525215115.2650105758148
0.29178.99739728782814.8140479139047
0.3182.72193439902314.2384618068615
0.31186.26523897669913.6038996917445
0.32189.62472270946612.9804978568974
0.33192.81470280209912.4380984924733
0.34195.86492597271112.0392187333863
0.35198.81745559792111.8337510658576
0.36201.72209708687911.8507840979423
0.37204.63066085162912.0896151853934
0.38207.59074686700712.5172257931814
0.39210.64017165863513.0735267694240
0.4213.80333777749513.6878371442948
0.41217.09053532727214.2947292053781
0.42220.50035919862314.8501568200323
0.43224.02438694945115.3411218392876
0.44227.65242595599315.7797702974239
0.45231.37641345348816.1929445139342
0.46235.19161188089516.6032298719786
0.47239.09490710662817.0131627871895
0.48243.08131162507217.3990625600755
0.49247.14062349391617.7200012250318
0.5251.25618325634417.9362663258665
0.51255.40675662632018.0265596054813
0.52259.57110497601618.0037884877301
0.53263.73340861143017.9101234644752
0.54267.88700744049317.8077403067213
0.55272.03428836174217.7474362716126
0.56276.18191897954017.7449195212091
0.57280.3325146316217.7642344216637
0.58284.47548534887517.7194218898894
0.59288.58052859592817.5016768393143
0.6292.59663162744117.0101395829698
0.61296.45766366765016.1884677192279
0.62300.09331638295615.0422928261194
0.63303.44219858199713.6399159887933
0.64306.46309956387412.0966430231864
0.65309.1411281190810.5439349313266
0.66311.4873109576389.0992553054766
0.67313.5325046386977.83884205763556
0.68315.3182205306936.79131681771491
0.69316.8875518048945.94018052676333
0.7318.2787401427515.24596895357266
0.71319.5224709973814.66573883014863
0.72320.6424466047954.16892583424269
0.73321.6577731323163.74042330131316
0.74322.5854882192643.37883983145605
0.75323.4420367495363.08523034261551
0.76324.243319012972.85769322886894
0.77325.0036932690882.68703064888263
0.78325.7347412545042.55783576449036
0.79326.444600438352.45301976491778
0.8327.138286141972.35917047992899
0.81327.8188555721592.27012505293118
0.82328.4888066058952.18618553736828
0.83329.1511201737392.11177592647053
0.84329.8100963668182.0498983743496
0.85330.4734376848772.00580534523692
0.86331.158036865251.99993044899863
0.87331.9011118687392.09284731229673
0.88332.774294928132.39608773379704
0.89333.8914785814213.03095615884992
0.9335.3959595843834.02563078030304
0.91337.4166484599785.23696756533445
0.92340.0024423573036.35123582300867
0.93343.0705282637716.99404807215943
0.94346.4138217955586.93194388789631
0.95349.7860188887276.22789390468202
0.96353.036710976095.22542140709878
0.97356.2162252979494.41246350896728
0.98359.4539991717683.97260906156195
0.99362.4156826538262.82362453249718

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 57.6619254437681 & 3.37820140195682 \tabularnewline
0.02 & 60.8772070651529 & 3.38072724553727 \tabularnewline
0.03 & 64.1525900813032 & 5.67806532932806 \tabularnewline
0.04 & 68.2267997381546 & 8.24302268639427 \tabularnewline
0.05 & 73.133090856535 & 9.9176493185866 \tabularnewline
0.06 & 78.3920516257851 & 10.5269335332916 \tabularnewline
0.07 & 83.534903490534 & 10.4335919618580 \tabularnewline
0.08 & 88.3227261733358 & 10.1061132866501 \tabularnewline
0.09 & 92.7407044153824 & 9.94458398878672 \tabularnewline
0.1 & 96.9164377427339 & 10.2123900523418 \tabularnewline
0.11 & 101.032322128807 & 10.9684561683549 \tabularnewline
0.12 & 105.251116220749 & 12.0570803581356 \tabularnewline
0.13 & 109.665278179827 & 13.2025005489259 \tabularnewline
0.14 & 114.279872371631 & 14.1431661936697 \tabularnewline
0.15 & 119.029124251576 & 14.7292245606998 \tabularnewline
0.16 & 123.813684432960 & 14.9502697337842 \tabularnewline
0.17 & 128.539657298427 & 14.9015371887499 \tabularnewline
0.18 & 133.144739503649 & 14.7229896926763 \tabularnewline
0.19 & 137.606692516279 & 14.5443458646564 \tabularnewline
0.2 & 141.937780106690 & 14.4575214764818 \tabularnewline
0.21 & 146.171987827200 & 14.5073489132919 \tabularnewline
0.22 & 150.350701692730 & 14.6938329940936 \tabularnewline
0.23 & 154.510075242762 & 14.9755335180347 \tabularnewline
0.24 & 158.671686163815 & 15.2794326834516 \tabularnewline
0.25 & 162.837475692578 & 15.5210992587153 \tabularnewline
0.26 & 166.989530246336 & 15.6251947648872 \tabularnewline
0.27 & 171.094412633553 & 15.5435259879001 \tabularnewline
0.28 & 175.110665252151 & 15.2650105758148 \tabularnewline
0.29 & 178.997397287828 & 14.8140479139047 \tabularnewline
0.3 & 182.721934399023 & 14.2384618068615 \tabularnewline
0.31 & 186.265238976699 & 13.6038996917445 \tabularnewline
0.32 & 189.624722709466 & 12.9804978568974 \tabularnewline
0.33 & 192.814702802099 & 12.4380984924733 \tabularnewline
0.34 & 195.864925972711 & 12.0392187333863 \tabularnewline
0.35 & 198.817455597921 & 11.8337510658576 \tabularnewline
0.36 & 201.722097086879 & 11.8507840979423 \tabularnewline
0.37 & 204.630660851629 & 12.0896151853934 \tabularnewline
0.38 & 207.590746867007 & 12.5172257931814 \tabularnewline
0.39 & 210.640171658635 & 13.0735267694240 \tabularnewline
0.4 & 213.803337777495 & 13.6878371442948 \tabularnewline
0.41 & 217.090535327272 & 14.2947292053781 \tabularnewline
0.42 & 220.500359198623 & 14.8501568200323 \tabularnewline
0.43 & 224.024386949451 & 15.3411218392876 \tabularnewline
0.44 & 227.652425955993 & 15.7797702974239 \tabularnewline
0.45 & 231.376413453488 & 16.1929445139342 \tabularnewline
0.46 & 235.191611880895 & 16.6032298719786 \tabularnewline
0.47 & 239.094907106628 & 17.0131627871895 \tabularnewline
0.48 & 243.081311625072 & 17.3990625600755 \tabularnewline
0.49 & 247.140623493916 & 17.7200012250318 \tabularnewline
0.5 & 251.256183256344 & 17.9362663258665 \tabularnewline
0.51 & 255.406756626320 & 18.0265596054813 \tabularnewline
0.52 & 259.571104976016 & 18.0037884877301 \tabularnewline
0.53 & 263.733408611430 & 17.9101234644752 \tabularnewline
0.54 & 267.887007440493 & 17.8077403067213 \tabularnewline
0.55 & 272.034288361742 & 17.7474362716126 \tabularnewline
0.56 & 276.181918979540 & 17.7449195212091 \tabularnewline
0.57 & 280.33251463162 & 17.7642344216637 \tabularnewline
0.58 & 284.475485348875 & 17.7194218898894 \tabularnewline
0.59 & 288.580528595928 & 17.5016768393143 \tabularnewline
0.6 & 292.596631627441 & 17.0101395829698 \tabularnewline
0.61 & 296.457663667650 & 16.1884677192279 \tabularnewline
0.62 & 300.093316382956 & 15.0422928261194 \tabularnewline
0.63 & 303.442198581997 & 13.6399159887933 \tabularnewline
0.64 & 306.463099563874 & 12.0966430231864 \tabularnewline
0.65 & 309.14112811908 & 10.5439349313266 \tabularnewline
0.66 & 311.487310957638 & 9.0992553054766 \tabularnewline
0.67 & 313.532504638697 & 7.83884205763556 \tabularnewline
0.68 & 315.318220530693 & 6.79131681771491 \tabularnewline
0.69 & 316.887551804894 & 5.94018052676333 \tabularnewline
0.7 & 318.278740142751 & 5.24596895357266 \tabularnewline
0.71 & 319.522470997381 & 4.66573883014863 \tabularnewline
0.72 & 320.642446604795 & 4.16892583424269 \tabularnewline
0.73 & 321.657773132316 & 3.74042330131316 \tabularnewline
0.74 & 322.585488219264 & 3.37883983145605 \tabularnewline
0.75 & 323.442036749536 & 3.08523034261551 \tabularnewline
0.76 & 324.24331901297 & 2.85769322886894 \tabularnewline
0.77 & 325.003693269088 & 2.68703064888263 \tabularnewline
0.78 & 325.734741254504 & 2.55783576449036 \tabularnewline
0.79 & 326.44460043835 & 2.45301976491778 \tabularnewline
0.8 & 327.13828614197 & 2.35917047992899 \tabularnewline
0.81 & 327.818855572159 & 2.27012505293118 \tabularnewline
0.82 & 328.488806605895 & 2.18618553736828 \tabularnewline
0.83 & 329.151120173739 & 2.11177592647053 \tabularnewline
0.84 & 329.810096366818 & 2.0498983743496 \tabularnewline
0.85 & 330.473437684877 & 2.00580534523692 \tabularnewline
0.86 & 331.15803686525 & 1.99993044899863 \tabularnewline
0.87 & 331.901111868739 & 2.09284731229673 \tabularnewline
0.88 & 332.77429492813 & 2.39608773379704 \tabularnewline
0.89 & 333.891478581421 & 3.03095615884992 \tabularnewline
0.9 & 335.395959584383 & 4.02563078030304 \tabularnewline
0.91 & 337.416648459978 & 5.23696756533445 \tabularnewline
0.92 & 340.002442357303 & 6.35123582300867 \tabularnewline
0.93 & 343.070528263771 & 6.99404807215943 \tabularnewline
0.94 & 346.413821795558 & 6.93194388789631 \tabularnewline
0.95 & 349.786018888727 & 6.22789390468202 \tabularnewline
0.96 & 353.03671097609 & 5.22542140709878 \tabularnewline
0.97 & 356.216225297949 & 4.41246350896728 \tabularnewline
0.98 & 359.453999171768 & 3.97260906156195 \tabularnewline
0.99 & 362.415682653826 & 2.82362453249718 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78845&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]57.6619254437681[/C][C]3.37820140195682[/C][/ROW]
[ROW][C]0.02[/C][C]60.8772070651529[/C][C]3.38072724553727[/C][/ROW]
[ROW][C]0.03[/C][C]64.1525900813032[/C][C]5.67806532932806[/C][/ROW]
[ROW][C]0.04[/C][C]68.2267997381546[/C][C]8.24302268639427[/C][/ROW]
[ROW][C]0.05[/C][C]73.133090856535[/C][C]9.9176493185866[/C][/ROW]
[ROW][C]0.06[/C][C]78.3920516257851[/C][C]10.5269335332916[/C][/ROW]
[ROW][C]0.07[/C][C]83.534903490534[/C][C]10.4335919618580[/C][/ROW]
[ROW][C]0.08[/C][C]88.3227261733358[/C][C]10.1061132866501[/C][/ROW]
[ROW][C]0.09[/C][C]92.7407044153824[/C][C]9.94458398878672[/C][/ROW]
[ROW][C]0.1[/C][C]96.9164377427339[/C][C]10.2123900523418[/C][/ROW]
[ROW][C]0.11[/C][C]101.032322128807[/C][C]10.9684561683549[/C][/ROW]
[ROW][C]0.12[/C][C]105.251116220749[/C][C]12.0570803581356[/C][/ROW]
[ROW][C]0.13[/C][C]109.665278179827[/C][C]13.2025005489259[/C][/ROW]
[ROW][C]0.14[/C][C]114.279872371631[/C][C]14.1431661936697[/C][/ROW]
[ROW][C]0.15[/C][C]119.029124251576[/C][C]14.7292245606998[/C][/ROW]
[ROW][C]0.16[/C][C]123.813684432960[/C][C]14.9502697337842[/C][/ROW]
[ROW][C]0.17[/C][C]128.539657298427[/C][C]14.9015371887499[/C][/ROW]
[ROW][C]0.18[/C][C]133.144739503649[/C][C]14.7229896926763[/C][/ROW]
[ROW][C]0.19[/C][C]137.606692516279[/C][C]14.5443458646564[/C][/ROW]
[ROW][C]0.2[/C][C]141.937780106690[/C][C]14.4575214764818[/C][/ROW]
[ROW][C]0.21[/C][C]146.171987827200[/C][C]14.5073489132919[/C][/ROW]
[ROW][C]0.22[/C][C]150.350701692730[/C][C]14.6938329940936[/C][/ROW]
[ROW][C]0.23[/C][C]154.510075242762[/C][C]14.9755335180347[/C][/ROW]
[ROW][C]0.24[/C][C]158.671686163815[/C][C]15.2794326834516[/C][/ROW]
[ROW][C]0.25[/C][C]162.837475692578[/C][C]15.5210992587153[/C][/ROW]
[ROW][C]0.26[/C][C]166.989530246336[/C][C]15.6251947648872[/C][/ROW]
[ROW][C]0.27[/C][C]171.094412633553[/C][C]15.5435259879001[/C][/ROW]
[ROW][C]0.28[/C][C]175.110665252151[/C][C]15.2650105758148[/C][/ROW]
[ROW][C]0.29[/C][C]178.997397287828[/C][C]14.8140479139047[/C][/ROW]
[ROW][C]0.3[/C][C]182.721934399023[/C][C]14.2384618068615[/C][/ROW]
[ROW][C]0.31[/C][C]186.265238976699[/C][C]13.6038996917445[/C][/ROW]
[ROW][C]0.32[/C][C]189.624722709466[/C][C]12.9804978568974[/C][/ROW]
[ROW][C]0.33[/C][C]192.814702802099[/C][C]12.4380984924733[/C][/ROW]
[ROW][C]0.34[/C][C]195.864925972711[/C][C]12.0392187333863[/C][/ROW]
[ROW][C]0.35[/C][C]198.817455597921[/C][C]11.8337510658576[/C][/ROW]
[ROW][C]0.36[/C][C]201.722097086879[/C][C]11.8507840979423[/C][/ROW]
[ROW][C]0.37[/C][C]204.630660851629[/C][C]12.0896151853934[/C][/ROW]
[ROW][C]0.38[/C][C]207.590746867007[/C][C]12.5172257931814[/C][/ROW]
[ROW][C]0.39[/C][C]210.640171658635[/C][C]13.0735267694240[/C][/ROW]
[ROW][C]0.4[/C][C]213.803337777495[/C][C]13.6878371442948[/C][/ROW]
[ROW][C]0.41[/C][C]217.090535327272[/C][C]14.2947292053781[/C][/ROW]
[ROW][C]0.42[/C][C]220.500359198623[/C][C]14.8501568200323[/C][/ROW]
[ROW][C]0.43[/C][C]224.024386949451[/C][C]15.3411218392876[/C][/ROW]
[ROW][C]0.44[/C][C]227.652425955993[/C][C]15.7797702974239[/C][/ROW]
[ROW][C]0.45[/C][C]231.376413453488[/C][C]16.1929445139342[/C][/ROW]
[ROW][C]0.46[/C][C]235.191611880895[/C][C]16.6032298719786[/C][/ROW]
[ROW][C]0.47[/C][C]239.094907106628[/C][C]17.0131627871895[/C][/ROW]
[ROW][C]0.48[/C][C]243.081311625072[/C][C]17.3990625600755[/C][/ROW]
[ROW][C]0.49[/C][C]247.140623493916[/C][C]17.7200012250318[/C][/ROW]
[ROW][C]0.5[/C][C]251.256183256344[/C][C]17.9362663258665[/C][/ROW]
[ROW][C]0.51[/C][C]255.406756626320[/C][C]18.0265596054813[/C][/ROW]
[ROW][C]0.52[/C][C]259.571104976016[/C][C]18.0037884877301[/C][/ROW]
[ROW][C]0.53[/C][C]263.733408611430[/C][C]17.9101234644752[/C][/ROW]
[ROW][C]0.54[/C][C]267.887007440493[/C][C]17.8077403067213[/C][/ROW]
[ROW][C]0.55[/C][C]272.034288361742[/C][C]17.7474362716126[/C][/ROW]
[ROW][C]0.56[/C][C]276.181918979540[/C][C]17.7449195212091[/C][/ROW]
[ROW][C]0.57[/C][C]280.33251463162[/C][C]17.7642344216637[/C][/ROW]
[ROW][C]0.58[/C][C]284.475485348875[/C][C]17.7194218898894[/C][/ROW]
[ROW][C]0.59[/C][C]288.580528595928[/C][C]17.5016768393143[/C][/ROW]
[ROW][C]0.6[/C][C]292.596631627441[/C][C]17.0101395829698[/C][/ROW]
[ROW][C]0.61[/C][C]296.457663667650[/C][C]16.1884677192279[/C][/ROW]
[ROW][C]0.62[/C][C]300.093316382956[/C][C]15.0422928261194[/C][/ROW]
[ROW][C]0.63[/C][C]303.442198581997[/C][C]13.6399159887933[/C][/ROW]
[ROW][C]0.64[/C][C]306.463099563874[/C][C]12.0966430231864[/C][/ROW]
[ROW][C]0.65[/C][C]309.14112811908[/C][C]10.5439349313266[/C][/ROW]
[ROW][C]0.66[/C][C]311.487310957638[/C][C]9.0992553054766[/C][/ROW]
[ROW][C]0.67[/C][C]313.532504638697[/C][C]7.83884205763556[/C][/ROW]
[ROW][C]0.68[/C][C]315.318220530693[/C][C]6.79131681771491[/C][/ROW]
[ROW][C]0.69[/C][C]316.887551804894[/C][C]5.94018052676333[/C][/ROW]
[ROW][C]0.7[/C][C]318.278740142751[/C][C]5.24596895357266[/C][/ROW]
[ROW][C]0.71[/C][C]319.522470997381[/C][C]4.66573883014863[/C][/ROW]
[ROW][C]0.72[/C][C]320.642446604795[/C][C]4.16892583424269[/C][/ROW]
[ROW][C]0.73[/C][C]321.657773132316[/C][C]3.74042330131316[/C][/ROW]
[ROW][C]0.74[/C][C]322.585488219264[/C][C]3.37883983145605[/C][/ROW]
[ROW][C]0.75[/C][C]323.442036749536[/C][C]3.08523034261551[/C][/ROW]
[ROW][C]0.76[/C][C]324.24331901297[/C][C]2.85769322886894[/C][/ROW]
[ROW][C]0.77[/C][C]325.003693269088[/C][C]2.68703064888263[/C][/ROW]
[ROW][C]0.78[/C][C]325.734741254504[/C][C]2.55783576449036[/C][/ROW]
[ROW][C]0.79[/C][C]326.44460043835[/C][C]2.45301976491778[/C][/ROW]
[ROW][C]0.8[/C][C]327.13828614197[/C][C]2.35917047992899[/C][/ROW]
[ROW][C]0.81[/C][C]327.818855572159[/C][C]2.27012505293118[/C][/ROW]
[ROW][C]0.82[/C][C]328.488806605895[/C][C]2.18618553736828[/C][/ROW]
[ROW][C]0.83[/C][C]329.151120173739[/C][C]2.11177592647053[/C][/ROW]
[ROW][C]0.84[/C][C]329.810096366818[/C][C]2.0498983743496[/C][/ROW]
[ROW][C]0.85[/C][C]330.473437684877[/C][C]2.00580534523692[/C][/ROW]
[ROW][C]0.86[/C][C]331.15803686525[/C][C]1.99993044899863[/C][/ROW]
[ROW][C]0.87[/C][C]331.901111868739[/C][C]2.09284731229673[/C][/ROW]
[ROW][C]0.88[/C][C]332.77429492813[/C][C]2.39608773379704[/C][/ROW]
[ROW][C]0.89[/C][C]333.891478581421[/C][C]3.03095615884992[/C][/ROW]
[ROW][C]0.9[/C][C]335.395959584383[/C][C]4.02563078030304[/C][/ROW]
[ROW][C]0.91[/C][C]337.416648459978[/C][C]5.23696756533445[/C][/ROW]
[ROW][C]0.92[/C][C]340.002442357303[/C][C]6.35123582300867[/C][/ROW]
[ROW][C]0.93[/C][C]343.070528263771[/C][C]6.99404807215943[/C][/ROW]
[ROW][C]0.94[/C][C]346.413821795558[/C][C]6.93194388789631[/C][/ROW]
[ROW][C]0.95[/C][C]349.786018888727[/C][C]6.22789390468202[/C][/ROW]
[ROW][C]0.96[/C][C]353.03671097609[/C][C]5.22542140709878[/C][/ROW]
[ROW][C]0.97[/C][C]356.216225297949[/C][C]4.41246350896728[/C][/ROW]
[ROW][C]0.98[/C][C]359.453999171768[/C][C]3.97260906156195[/C][/ROW]
[ROW][C]0.99[/C][C]362.415682653826[/C][C]2.82362453249718[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78845&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78845&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
0.0157.66192544376813.37820140195682
0.0260.87720706515293.38072724553727
0.0364.15259008130325.67806532932806
0.0468.22679973815468.24302268639427
0.0573.1330908565359.9176493185866
0.0678.392051625785110.5269335332916
0.0783.53490349053410.4335919618580
0.0888.322726173335810.1061132866501
0.0992.74070441538249.94458398878672
0.196.916437742733910.2123900523418
0.11101.03232212880710.9684561683549
0.12105.25111622074912.0570803581356
0.13109.66527817982713.2025005489259
0.14114.27987237163114.1431661936697
0.15119.02912425157614.7292245606998
0.16123.81368443296014.9502697337842
0.17128.53965729842714.9015371887499
0.18133.14473950364914.7229896926763
0.19137.60669251627914.5443458646564
0.2141.93778010669014.4575214764818
0.21146.17198782720014.5073489132919
0.22150.35070169273014.6938329940936
0.23154.51007524276214.9755335180347
0.24158.67168616381515.2794326834516
0.25162.83747569257815.5210992587153
0.26166.98953024633615.6251947648872
0.27171.09441263355315.5435259879001
0.28175.11066525215115.2650105758148
0.29178.99739728782814.8140479139047
0.3182.72193439902314.2384618068615
0.31186.26523897669913.6038996917445
0.32189.62472270946612.9804978568974
0.33192.81470280209912.4380984924733
0.34195.86492597271112.0392187333863
0.35198.81745559792111.8337510658576
0.36201.72209708687911.8507840979423
0.37204.63066085162912.0896151853934
0.38207.59074686700712.5172257931814
0.39210.64017165863513.0735267694240
0.4213.80333777749513.6878371442948
0.41217.09053532727214.2947292053781
0.42220.50035919862314.8501568200323
0.43224.02438694945115.3411218392876
0.44227.65242595599315.7797702974239
0.45231.37641345348816.1929445139342
0.46235.19161188089516.6032298719786
0.47239.09490710662817.0131627871895
0.48243.08131162507217.3990625600755
0.49247.14062349391617.7200012250318
0.5251.25618325634417.9362663258665
0.51255.40675662632018.0265596054813
0.52259.57110497601618.0037884877301
0.53263.73340861143017.9101234644752
0.54267.88700744049317.8077403067213
0.55272.03428836174217.7474362716126
0.56276.18191897954017.7449195212091
0.57280.3325146316217.7642344216637
0.58284.47548534887517.7194218898894
0.59288.58052859592817.5016768393143
0.6292.59663162744117.0101395829698
0.61296.45766366765016.1884677192279
0.62300.09331638295615.0422928261194
0.63303.44219858199713.6399159887933
0.64306.46309956387412.0966430231864
0.65309.1411281190810.5439349313266
0.66311.4873109576389.0992553054766
0.67313.5325046386977.83884205763556
0.68315.3182205306936.79131681771491
0.69316.8875518048945.94018052676333
0.7318.2787401427515.24596895357266
0.71319.5224709973814.66573883014863
0.72320.6424466047954.16892583424269
0.73321.6577731323163.74042330131316
0.74322.5854882192643.37883983145605
0.75323.4420367495363.08523034261551
0.76324.243319012972.85769322886894
0.77325.0036932690882.68703064888263
0.78325.7347412545042.55783576449036
0.79326.444600438352.45301976491778
0.8327.138286141972.35917047992899
0.81327.8188555721592.27012505293118
0.82328.4888066058952.18618553736828
0.83329.1511201737392.11177592647053
0.84329.8100963668182.0498983743496
0.85330.4734376848772.00580534523692
0.86331.158036865251.99993044899863
0.87331.9011118687392.09284731229673
0.88332.774294928132.39608773379704
0.89333.8914785814213.03095615884992
0.9335.3959595843834.02563078030304
0.91337.4166484599785.23696756533445
0.92340.0024423573036.35123582300867
0.93343.0705282637716.99404807215943
0.94346.4138217955586.93194388789631
0.95349.7860188887276.22789390468202
0.96353.036710976095.22542140709878
0.97356.2162252979494.41246350896728
0.98359.4539991717683.97260906156195
0.99362.4156826538262.82362453249718


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')