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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, 02 Mar 2008 13:19:26 -0700
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/Mar/02/t1204489222kvuiluvswor3do7.htm/, Retrieved Mon, 06 May 2024 15:27:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9712, Retrieved Mon, 06 May 2024 15:27:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact164

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] [sales perrin frer...] [2008-03-02 20:19:26] [56744542a24c8707256dac9921ca917a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2815
2672
2755
2721
2946
3036
2282
2212
2922
4301
5764
7312
2541
2475
3031
3266
3776
3230
3028
1759
3595
4474
6838
8357
3113
3006
4047
3523
3937
3986
3260
1573
3528
5211
7614
9254
5375
3088
3718
4514
4520
4539
3663
1643
4739
5428
8314
10651
3633
4292
4154
4121
4647
4753
3965
1723
5048
6922
9858
11331
4016
4276
4968
4677
3523
1821
5222
6872
10803
13916
2639
2899
3370
3740
2927
3986
4217
1738
5221
6424
9842
13076

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9712&T=0

[TABLE]
[ROW][C]Summary of compuational 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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9712&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9712&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011602.7151211905969.487314925822
0.021649.4080397973374.761944571968
0.031701.5678976115092.6800784762238
0.041759.1508207378132.317400754581
0.051827.63111190257188.114216008543
0.061910.74583626295244.456355022686
0.072007.43493430072286.67827411808
0.082112.48408547935307.032226140737
0.092218.95705382324305.773082827476
0.12320.61456224271288.589847108261
0.112413.31265444176262.913094009976
0.122495.25720525333235.14366850677
0.132566.51151140128209.491150722074
0.142628.24537926797187.954887462657
0.152682.06197832953170.859609654335
0.162729.54394722264157.545679355321
0.172772.02563816435146.989485671181
0.182810.53701027323138.284333798003
0.192845.85129193174130.907609841838
0.22878.57727321737124.783737710775
0.212909.25322060232120.175905312893
0.222938.41654028565117.555087469414
0.232966.63849619386117.390173233036
0.242994.52473673204119.996699300958
0.253022.68935157438125.42506580179
0.263051.71309387981133.436345976567
0.273082.09648932629143.505040882045
0.283114.2171297879154.908726928581
0.293148.29840288244166.803437972370
0.33184.39459359868178.336506602755
0.313222.39475784388188.720593958983
0.323262.04504398796197.334561740275
0.333302.98642009295203.767440163743
0.343344.80240708935207.869043075322
0.353387.06983637213209.766044663545
0.363429.40518820594209.788849412467
0.373471.49989318155208.437030430912
0.383513.14002082701206.28099414376
0.393554.20870681697203.852835318294
0.43594.67292993543201.559021957340
0.413634.55916435568199.631180818775
0.423673.92435084749198.096645835803
0.433712.82909833344196.838814382407
0.443751.31892638865195.644968882574
0.453789.41696259599194.313089798753
0.463827.1284255565192.732291345653
0.473864.45424374909190.901924845585
0.483901.40903404983188.991097522550
0.493938.03789537126187.256953916642
0.53974.42718106138186.017928014932
0.514010.70631276274185.552140227839
0.524047.04020408984186.069317292305
0.534083.61428335018187.620382734280
0.544120.6158503032190.138713356853
0.554158.216234847193.453365639225
0.564196.55790802001197.300974951637
0.574235.74953347563201.450338551192
0.584275.87027103488205.724199300817
0.594316.98279311737210.006945721544
0.64359.15274072379214.364589576910
0.614402.47098104279218.962475733339
0.624447.07429669432224.102696540123
0.634493.16033369796230.157083987605
0.644540.9940323678237.492659182573
0.654590.90544700947246.441917325766
0.664643.28250493637257.184722244426
0.674698.56595905054269.826073988646
0.684757.25606923229284.416353433025
0.694819.93965329139301.134212372809
0.74887.34070560867320.472937604955
0.714960.38768580296343.362131489269
0.725040.2778174657371.176714810790
0.735128.50767994931405.514107503977
0.745226.83604533638447.664981808126
0.755337.15494525553497.967427198816
0.765461.2705599587555.289244858395
0.775600.63251042988616.834903440546
0.785756.08671056209678.548587703798
0.795927.74602999886735.969475832213
0.86115.05867956716785.436677775821
0.816317.1004035727825.294643976812
0.826533.03408419775856.614435012283
0.836762.59723380986883.052984901155
0.847006.43021011975909.636578384491
0.857266.0745887844940.67383092881
0.867543.55920194754977.581864606496
0.877840.631958254381017.63749963002
0.888157.850358273851054.15156782751
0.898493.86852029191078.19022045983
0.98845.321353281741081.27353139346
0.919207.709600433221058.75579509025
0.929577.672431265181013.11593117107
0.939956.9610650549956.91281525603
0.9410357.8699542686915.94236108685
0.9510807.8157857124930.541565981573
0.9611346.52493575511033.41688951589
0.9712005.29636331251181.01172156577
0.9812761.01788597471218.09449238575
0.9913478.71485515761032.47694686846

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1602.71512119059 & 69.487314925822 \tabularnewline
0.02 & 1649.40803979733 & 74.761944571968 \tabularnewline
0.03 & 1701.56789761150 & 92.6800784762238 \tabularnewline
0.04 & 1759.1508207378 & 132.317400754581 \tabularnewline
0.05 & 1827.63111190257 & 188.114216008543 \tabularnewline
0.06 & 1910.74583626295 & 244.456355022686 \tabularnewline
0.07 & 2007.43493430072 & 286.67827411808 \tabularnewline
0.08 & 2112.48408547935 & 307.032226140737 \tabularnewline
0.09 & 2218.95705382324 & 305.773082827476 \tabularnewline
0.1 & 2320.61456224271 & 288.589847108261 \tabularnewline
0.11 & 2413.31265444176 & 262.913094009976 \tabularnewline
0.12 & 2495.25720525333 & 235.14366850677 \tabularnewline
0.13 & 2566.51151140128 & 209.491150722074 \tabularnewline
0.14 & 2628.24537926797 & 187.954887462657 \tabularnewline
0.15 & 2682.06197832953 & 170.859609654335 \tabularnewline
0.16 & 2729.54394722264 & 157.545679355321 \tabularnewline
0.17 & 2772.02563816435 & 146.989485671181 \tabularnewline
0.18 & 2810.53701027323 & 138.284333798003 \tabularnewline
0.19 & 2845.85129193174 & 130.907609841838 \tabularnewline
0.2 & 2878.57727321737 & 124.783737710775 \tabularnewline
0.21 & 2909.25322060232 & 120.175905312893 \tabularnewline
0.22 & 2938.41654028565 & 117.555087469414 \tabularnewline
0.23 & 2966.63849619386 & 117.390173233036 \tabularnewline
0.24 & 2994.52473673204 & 119.996699300958 \tabularnewline
0.25 & 3022.68935157438 & 125.42506580179 \tabularnewline
0.26 & 3051.71309387981 & 133.436345976567 \tabularnewline
0.27 & 3082.09648932629 & 143.505040882045 \tabularnewline
0.28 & 3114.2171297879 & 154.908726928581 \tabularnewline
0.29 & 3148.29840288244 & 166.803437972370 \tabularnewline
0.3 & 3184.39459359868 & 178.336506602755 \tabularnewline
0.31 & 3222.39475784388 & 188.720593958983 \tabularnewline
0.32 & 3262.04504398796 & 197.334561740275 \tabularnewline
0.33 & 3302.98642009295 & 203.767440163743 \tabularnewline
0.34 & 3344.80240708935 & 207.869043075322 \tabularnewline
0.35 & 3387.06983637213 & 209.766044663545 \tabularnewline
0.36 & 3429.40518820594 & 209.788849412467 \tabularnewline
0.37 & 3471.49989318155 & 208.437030430912 \tabularnewline
0.38 & 3513.14002082701 & 206.28099414376 \tabularnewline
0.39 & 3554.20870681697 & 203.852835318294 \tabularnewline
0.4 & 3594.67292993543 & 201.559021957340 \tabularnewline
0.41 & 3634.55916435568 & 199.631180818775 \tabularnewline
0.42 & 3673.92435084749 & 198.096645835803 \tabularnewline
0.43 & 3712.82909833344 & 196.838814382407 \tabularnewline
0.44 & 3751.31892638865 & 195.644968882574 \tabularnewline
0.45 & 3789.41696259599 & 194.313089798753 \tabularnewline
0.46 & 3827.1284255565 & 192.732291345653 \tabularnewline
0.47 & 3864.45424374909 & 190.901924845585 \tabularnewline
0.48 & 3901.40903404983 & 188.991097522550 \tabularnewline
0.49 & 3938.03789537126 & 187.256953916642 \tabularnewline
0.5 & 3974.42718106138 & 186.017928014932 \tabularnewline
0.51 & 4010.70631276274 & 185.552140227839 \tabularnewline
0.52 & 4047.04020408984 & 186.069317292305 \tabularnewline
0.53 & 4083.61428335018 & 187.620382734280 \tabularnewline
0.54 & 4120.6158503032 & 190.138713356853 \tabularnewline
0.55 & 4158.216234847 & 193.453365639225 \tabularnewline
0.56 & 4196.55790802001 & 197.300974951637 \tabularnewline
0.57 & 4235.74953347563 & 201.450338551192 \tabularnewline
0.58 & 4275.87027103488 & 205.724199300817 \tabularnewline
0.59 & 4316.98279311737 & 210.006945721544 \tabularnewline
0.6 & 4359.15274072379 & 214.364589576910 \tabularnewline
0.61 & 4402.47098104279 & 218.962475733339 \tabularnewline
0.62 & 4447.07429669432 & 224.102696540123 \tabularnewline
0.63 & 4493.16033369796 & 230.157083987605 \tabularnewline
0.64 & 4540.9940323678 & 237.492659182573 \tabularnewline
0.65 & 4590.90544700947 & 246.441917325766 \tabularnewline
0.66 & 4643.28250493637 & 257.184722244426 \tabularnewline
0.67 & 4698.56595905054 & 269.826073988646 \tabularnewline
0.68 & 4757.25606923229 & 284.416353433025 \tabularnewline
0.69 & 4819.93965329139 & 301.134212372809 \tabularnewline
0.7 & 4887.34070560867 & 320.472937604955 \tabularnewline
0.71 & 4960.38768580296 & 343.362131489269 \tabularnewline
0.72 & 5040.2778174657 & 371.176714810790 \tabularnewline
0.73 & 5128.50767994931 & 405.514107503977 \tabularnewline
0.74 & 5226.83604533638 & 447.664981808126 \tabularnewline
0.75 & 5337.15494525553 & 497.967427198816 \tabularnewline
0.76 & 5461.2705599587 & 555.289244858395 \tabularnewline
0.77 & 5600.63251042988 & 616.834903440546 \tabularnewline
0.78 & 5756.08671056209 & 678.548587703798 \tabularnewline
0.79 & 5927.74602999886 & 735.969475832213 \tabularnewline
0.8 & 6115.05867956716 & 785.436677775821 \tabularnewline
0.81 & 6317.1004035727 & 825.294643976812 \tabularnewline
0.82 & 6533.03408419775 & 856.614435012283 \tabularnewline
0.83 & 6762.59723380986 & 883.052984901155 \tabularnewline
0.84 & 7006.43021011975 & 909.636578384491 \tabularnewline
0.85 & 7266.0745887844 & 940.67383092881 \tabularnewline
0.86 & 7543.55920194754 & 977.581864606496 \tabularnewline
0.87 & 7840.63195825438 & 1017.63749963002 \tabularnewline
0.88 & 8157.85035827385 & 1054.15156782751 \tabularnewline
0.89 & 8493.8685202919 & 1078.19022045983 \tabularnewline
0.9 & 8845.32135328174 & 1081.27353139346 \tabularnewline
0.91 & 9207.70960043322 & 1058.75579509025 \tabularnewline
0.92 & 9577.67243126518 & 1013.11593117107 \tabularnewline
0.93 & 9956.9610650549 & 956.91281525603 \tabularnewline
0.94 & 10357.8699542686 & 915.94236108685 \tabularnewline
0.95 & 10807.8157857124 & 930.541565981573 \tabularnewline
0.96 & 11346.5249357551 & 1033.41688951589 \tabularnewline
0.97 & 12005.2963633125 & 1181.01172156577 \tabularnewline
0.98 & 12761.0178859747 & 1218.09449238575 \tabularnewline
0.99 & 13478.7148551576 & 1032.47694686846 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9712&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]1602.71512119059[/C][C]69.487314925822[/C][/ROW]
[ROW][C]0.02[/C][C]1649.40803979733[/C][C]74.761944571968[/C][/ROW]
[ROW][C]0.03[/C][C]1701.56789761150[/C][C]92.6800784762238[/C][/ROW]
[ROW][C]0.04[/C][C]1759.1508207378[/C][C]132.317400754581[/C][/ROW]
[ROW][C]0.05[/C][C]1827.63111190257[/C][C]188.114216008543[/C][/ROW]
[ROW][C]0.06[/C][C]1910.74583626295[/C][C]244.456355022686[/C][/ROW]
[ROW][C]0.07[/C][C]2007.43493430072[/C][C]286.67827411808[/C][/ROW]
[ROW][C]0.08[/C][C]2112.48408547935[/C][C]307.032226140737[/C][/ROW]
[ROW][C]0.09[/C][C]2218.95705382324[/C][C]305.773082827476[/C][/ROW]
[ROW][C]0.1[/C][C]2320.61456224271[/C][C]288.589847108261[/C][/ROW]
[ROW][C]0.11[/C][C]2413.31265444176[/C][C]262.913094009976[/C][/ROW]
[ROW][C]0.12[/C][C]2495.25720525333[/C][C]235.14366850677[/C][/ROW]
[ROW][C]0.13[/C][C]2566.51151140128[/C][C]209.491150722074[/C][/ROW]
[ROW][C]0.14[/C][C]2628.24537926797[/C][C]187.954887462657[/C][/ROW]
[ROW][C]0.15[/C][C]2682.06197832953[/C][C]170.859609654335[/C][/ROW]
[ROW][C]0.16[/C][C]2729.54394722264[/C][C]157.545679355321[/C][/ROW]
[ROW][C]0.17[/C][C]2772.02563816435[/C][C]146.989485671181[/C][/ROW]
[ROW][C]0.18[/C][C]2810.53701027323[/C][C]138.284333798003[/C][/ROW]
[ROW][C]0.19[/C][C]2845.85129193174[/C][C]130.907609841838[/C][/ROW]
[ROW][C]0.2[/C][C]2878.57727321737[/C][C]124.783737710775[/C][/ROW]
[ROW][C]0.21[/C][C]2909.25322060232[/C][C]120.175905312893[/C][/ROW]
[ROW][C]0.22[/C][C]2938.41654028565[/C][C]117.555087469414[/C][/ROW]
[ROW][C]0.23[/C][C]2966.63849619386[/C][C]117.390173233036[/C][/ROW]
[ROW][C]0.24[/C][C]2994.52473673204[/C][C]119.996699300958[/C][/ROW]
[ROW][C]0.25[/C][C]3022.68935157438[/C][C]125.42506580179[/C][/ROW]
[ROW][C]0.26[/C][C]3051.71309387981[/C][C]133.436345976567[/C][/ROW]
[ROW][C]0.27[/C][C]3082.09648932629[/C][C]143.505040882045[/C][/ROW]
[ROW][C]0.28[/C][C]3114.2171297879[/C][C]154.908726928581[/C][/ROW]
[ROW][C]0.29[/C][C]3148.29840288244[/C][C]166.803437972370[/C][/ROW]
[ROW][C]0.3[/C][C]3184.39459359868[/C][C]178.336506602755[/C][/ROW]
[ROW][C]0.31[/C][C]3222.39475784388[/C][C]188.720593958983[/C][/ROW]
[ROW][C]0.32[/C][C]3262.04504398796[/C][C]197.334561740275[/C][/ROW]
[ROW][C]0.33[/C][C]3302.98642009295[/C][C]203.767440163743[/C][/ROW]
[ROW][C]0.34[/C][C]3344.80240708935[/C][C]207.869043075322[/C][/ROW]
[ROW][C]0.35[/C][C]3387.06983637213[/C][C]209.766044663545[/C][/ROW]
[ROW][C]0.36[/C][C]3429.40518820594[/C][C]209.788849412467[/C][/ROW]
[ROW][C]0.37[/C][C]3471.49989318155[/C][C]208.437030430912[/C][/ROW]
[ROW][C]0.38[/C][C]3513.14002082701[/C][C]206.28099414376[/C][/ROW]
[ROW][C]0.39[/C][C]3554.20870681697[/C][C]203.852835318294[/C][/ROW]
[ROW][C]0.4[/C][C]3594.67292993543[/C][C]201.559021957340[/C][/ROW]
[ROW][C]0.41[/C][C]3634.55916435568[/C][C]199.631180818775[/C][/ROW]
[ROW][C]0.42[/C][C]3673.92435084749[/C][C]198.096645835803[/C][/ROW]
[ROW][C]0.43[/C][C]3712.82909833344[/C][C]196.838814382407[/C][/ROW]
[ROW][C]0.44[/C][C]3751.31892638865[/C][C]195.644968882574[/C][/ROW]
[ROW][C]0.45[/C][C]3789.41696259599[/C][C]194.313089798753[/C][/ROW]
[ROW][C]0.46[/C][C]3827.1284255565[/C][C]192.732291345653[/C][/ROW]
[ROW][C]0.47[/C][C]3864.45424374909[/C][C]190.901924845585[/C][/ROW]
[ROW][C]0.48[/C][C]3901.40903404983[/C][C]188.991097522550[/C][/ROW]
[ROW][C]0.49[/C][C]3938.03789537126[/C][C]187.256953916642[/C][/ROW]
[ROW][C]0.5[/C][C]3974.42718106138[/C][C]186.017928014932[/C][/ROW]
[ROW][C]0.51[/C][C]4010.70631276274[/C][C]185.552140227839[/C][/ROW]
[ROW][C]0.52[/C][C]4047.04020408984[/C][C]186.069317292305[/C][/ROW]
[ROW][C]0.53[/C][C]4083.61428335018[/C][C]187.620382734280[/C][/ROW]
[ROW][C]0.54[/C][C]4120.6158503032[/C][C]190.138713356853[/C][/ROW]
[ROW][C]0.55[/C][C]4158.216234847[/C][C]193.453365639225[/C][/ROW]
[ROW][C]0.56[/C][C]4196.55790802001[/C][C]197.300974951637[/C][/ROW]
[ROW][C]0.57[/C][C]4235.74953347563[/C][C]201.450338551192[/C][/ROW]
[ROW][C]0.58[/C][C]4275.87027103488[/C][C]205.724199300817[/C][/ROW]
[ROW][C]0.59[/C][C]4316.98279311737[/C][C]210.006945721544[/C][/ROW]
[ROW][C]0.6[/C][C]4359.15274072379[/C][C]214.364589576910[/C][/ROW]
[ROW][C]0.61[/C][C]4402.47098104279[/C][C]218.962475733339[/C][/ROW]
[ROW][C]0.62[/C][C]4447.07429669432[/C][C]224.102696540123[/C][/ROW]
[ROW][C]0.63[/C][C]4493.16033369796[/C][C]230.157083987605[/C][/ROW]
[ROW][C]0.64[/C][C]4540.9940323678[/C][C]237.492659182573[/C][/ROW]
[ROW][C]0.65[/C][C]4590.90544700947[/C][C]246.441917325766[/C][/ROW]
[ROW][C]0.66[/C][C]4643.28250493637[/C][C]257.184722244426[/C][/ROW]
[ROW][C]0.67[/C][C]4698.56595905054[/C][C]269.826073988646[/C][/ROW]
[ROW][C]0.68[/C][C]4757.25606923229[/C][C]284.416353433025[/C][/ROW]
[ROW][C]0.69[/C][C]4819.93965329139[/C][C]301.134212372809[/C][/ROW]
[ROW][C]0.7[/C][C]4887.34070560867[/C][C]320.472937604955[/C][/ROW]
[ROW][C]0.71[/C][C]4960.38768580296[/C][C]343.362131489269[/C][/ROW]
[ROW][C]0.72[/C][C]5040.2778174657[/C][C]371.176714810790[/C][/ROW]
[ROW][C]0.73[/C][C]5128.50767994931[/C][C]405.514107503977[/C][/ROW]
[ROW][C]0.74[/C][C]5226.83604533638[/C][C]447.664981808126[/C][/ROW]
[ROW][C]0.75[/C][C]5337.15494525553[/C][C]497.967427198816[/C][/ROW]
[ROW][C]0.76[/C][C]5461.2705599587[/C][C]555.289244858395[/C][/ROW]
[ROW][C]0.77[/C][C]5600.63251042988[/C][C]616.834903440546[/C][/ROW]
[ROW][C]0.78[/C][C]5756.08671056209[/C][C]678.548587703798[/C][/ROW]
[ROW][C]0.79[/C][C]5927.74602999886[/C][C]735.969475832213[/C][/ROW]
[ROW][C]0.8[/C][C]6115.05867956716[/C][C]785.436677775821[/C][/ROW]
[ROW][C]0.81[/C][C]6317.1004035727[/C][C]825.294643976812[/C][/ROW]
[ROW][C]0.82[/C][C]6533.03408419775[/C][C]856.614435012283[/C][/ROW]
[ROW][C]0.83[/C][C]6762.59723380986[/C][C]883.052984901155[/C][/ROW]
[ROW][C]0.84[/C][C]7006.43021011975[/C][C]909.636578384491[/C][/ROW]
[ROW][C]0.85[/C][C]7266.0745887844[/C][C]940.67383092881[/C][/ROW]
[ROW][C]0.86[/C][C]7543.55920194754[/C][C]977.581864606496[/C][/ROW]
[ROW][C]0.87[/C][C]7840.63195825438[/C][C]1017.63749963002[/C][/ROW]
[ROW][C]0.88[/C][C]8157.85035827385[/C][C]1054.15156782751[/C][/ROW]
[ROW][C]0.89[/C][C]8493.8685202919[/C][C]1078.19022045983[/C][/ROW]
[ROW][C]0.9[/C][C]8845.32135328174[/C][C]1081.27353139346[/C][/ROW]
[ROW][C]0.91[/C][C]9207.70960043322[/C][C]1058.75579509025[/C][/ROW]
[ROW][C]0.92[/C][C]9577.67243126518[/C][C]1013.11593117107[/C][/ROW]
[ROW][C]0.93[/C][C]9956.9610650549[/C][C]956.91281525603[/C][/ROW]
[ROW][C]0.94[/C][C]10357.8699542686[/C][C]915.94236108685[/C][/ROW]
[ROW][C]0.95[/C][C]10807.8157857124[/C][C]930.541565981573[/C][/ROW]
[ROW][C]0.96[/C][C]11346.5249357551[/C][C]1033.41688951589[/C][/ROW]
[ROW][C]0.97[/C][C]12005.2963633125[/C][C]1181.01172156577[/C][/ROW]
[ROW][C]0.98[/C][C]12761.0178859747[/C][C]1218.09449238575[/C][/ROW]
[ROW][C]0.99[/C][C]13478.7148551576[/C][C]1032.47694686846[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9712&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9712&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
0.011602.7151211905969.487314925822
0.021649.4080397973374.761944571968
0.031701.5678976115092.6800784762238
0.041759.1508207378132.317400754581
0.051827.63111190257188.114216008543
0.061910.74583626295244.456355022686
0.072007.43493430072286.67827411808
0.082112.48408547935307.032226140737
0.092218.95705382324305.773082827476
0.12320.61456224271288.589847108261
0.112413.31265444176262.913094009976
0.122495.25720525333235.14366850677
0.132566.51151140128209.491150722074
0.142628.24537926797187.954887462657
0.152682.06197832953170.859609654335
0.162729.54394722264157.545679355321
0.172772.02563816435146.989485671181
0.182810.53701027323138.284333798003
0.192845.85129193174130.907609841838
0.22878.57727321737124.783737710775
0.212909.25322060232120.175905312893
0.222938.41654028565117.555087469414
0.232966.63849619386117.390173233036
0.242994.52473673204119.996699300958
0.253022.68935157438125.42506580179
0.263051.71309387981133.436345976567
0.273082.09648932629143.505040882045
0.283114.2171297879154.908726928581
0.293148.29840288244166.803437972370
0.33184.39459359868178.336506602755
0.313222.39475784388188.720593958983
0.323262.04504398796197.334561740275
0.333302.98642009295203.767440163743
0.343344.80240708935207.869043075322
0.353387.06983637213209.766044663545
0.363429.40518820594209.788849412467
0.373471.49989318155208.437030430912
0.383513.14002082701206.28099414376
0.393554.20870681697203.852835318294
0.43594.67292993543201.559021957340
0.413634.55916435568199.631180818775
0.423673.92435084749198.096645835803
0.433712.82909833344196.838814382407
0.443751.31892638865195.644968882574
0.453789.41696259599194.313089798753
0.463827.1284255565192.732291345653
0.473864.45424374909190.901924845585
0.483901.40903404983188.991097522550
0.493938.03789537126187.256953916642
0.53974.42718106138186.017928014932
0.514010.70631276274185.552140227839
0.524047.04020408984186.069317292305
0.534083.61428335018187.620382734280
0.544120.6158503032190.138713356853
0.554158.216234847193.453365639225
0.564196.55790802001197.300974951637
0.574235.74953347563201.450338551192
0.584275.87027103488205.724199300817
0.594316.98279311737210.006945721544
0.64359.15274072379214.364589576910
0.614402.47098104279218.962475733339
0.624447.07429669432224.102696540123
0.634493.16033369796230.157083987605
0.644540.9940323678237.492659182573
0.654590.90544700947246.441917325766
0.664643.28250493637257.184722244426
0.674698.56595905054269.826073988646
0.684757.25606923229284.416353433025
0.694819.93965329139301.134212372809
0.74887.34070560867320.472937604955
0.714960.38768580296343.362131489269
0.725040.2778174657371.176714810790
0.735128.50767994931405.514107503977
0.745226.83604533638447.664981808126
0.755337.15494525553497.967427198816
0.765461.2705599587555.289244858395
0.775600.63251042988616.834903440546
0.785756.08671056209678.548587703798
0.795927.74602999886735.969475832213
0.86115.05867956716785.436677775821
0.816317.1004035727825.294643976812
0.826533.03408419775856.614435012283
0.836762.59723380986883.052984901155
0.847006.43021011975909.636578384491
0.857266.0745887844940.67383092881
0.867543.55920194754977.581864606496
0.877840.631958254381017.63749963002
0.888157.850358273851054.15156782751
0.898493.86852029191078.19022045983
0.98845.321353281741081.27353139346
0.919207.709600433221058.75579509025
0.929577.672431265181013.11593117107
0.939956.9610650549956.91281525603
0.9410357.8699542686915.94236108685
0.9510807.8157857124930.541565981573
0.9611346.52493575511033.41688951589
0.9712005.29636331251181.01172156577
0.9812761.01788597471218.09449238575
0.9913478.71485515761032.47694686846


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')