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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 computationWed, 05 Oct 2016 13:13:30 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/05/t147566988677nw66kz67jnv57.htm/, Retrieved Sun, 05 May 2024 16:30:39 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 16:30:39 +0200
QR Codes:

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

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
209305
161498
126542
100278
168677
143277
127573
90760
160404
132039
117053
101248
152336
135356
119590
81695
155847
129364
111902
86772
150695
123177
114397
76927
160032
126833
110054
87080
161472
133737
121069
89365
163837
136276
120950
78858
124634
96579
94974
71028
145065
125041
120555
92507
180404
147940
125532
101901
166452
164909
95859
75225
115418
95535
90178
115685
107032
91924
85095
103517
109702
91594
99712
148342

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

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

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0172107.78644956573657.96675516578
0.0273717.41178468553190.56399396898
0.0375431.62476960113067.5177880656
0.0477062.48190112733274.02979025519
0.0578596.58150849873596.36820514867
0.0680065.49680152273859.02109606822
0.0781481.90381278623978.64508172921
0.0882834.04204183933944.1569681516
0.0984100.81719310853788.99239746072
0.185265.33700711773564.64133744225
0.1186320.96963736533320.13287066994
0.1287271.4120949413091.04245239164
0.1388127.83511346392897.5534178738
0.1488905.48341245882748.8982737941
0.1589620.95948555062648.99866808423
0.1690290.50145901732598.50780614569
0.1790929.06781341752596.74208638832
0.1891549.90793454082640.24034309048
0.1992164.37271352422723.00077961575
0.292781.85129593432837.36211442394
0.2193409.81463870182975.30645932772
0.2294053.97664871023130.32646427024
0.2394718.56664254813297.67153666583
0.2495406.67451435243474.38713708053
0.2596120.60732252043659.4245727787
0.2696862.1931884893852.81479803666
0.2797632.98313429694054.45245253999
0.2898434.32561545484264.39733709162
0.2999267.31399261194481.38874688197
0.3100132.6290230494702.63269871278
0.31101030.3146373114923.77081026232
0.32101959.5352808765138.55710014063
0.33102918.3665115855339.07053912506
0.34103903.666610135517.033523991
0.35104911.0652573065664.21367259755
0.36105935.0867310925773.77762739499
0.37106969.4023279775840.92450008843
0.38108007.1841522385863.56617646154
0.39109041.5148663285842.81457454908
0.4110065.7993153965781.9939087354
0.41111074.1258384885686.9408306596
0.42112061.5366429045564.41287026003
0.43113024.1846830775421.63408440466
0.44113959.3746683875265.83453923496
0.45114865.5038007125103.3318538829
0.46115741.9304411264938.91862095277
0.47116588.804713464776.50762923113
0.48117406.894429254618.72666653637
0.49118197.4343080874467.40746252542
0.5118962.0184481064324.10661021057
0.51119702.5473456144189.98693558559
0.52120421.2327399094066.49004577141
0.53121120.6566049283955.73482113689
0.54121803.8745491163860.43182006917
0.55122474.548374053784.25400701507
0.56123137.0875136013731.89706503156
0.57123796.7749924373708.99029308906
0.58124459.8513389223721.78090090149
0.59125133.5306080423776.62624959809
0.6125825.9269683683878.92616753902
0.61126545.8780372194032.64586940714
0.62127302.6612708034238.68939979658
0.63128105.6106222314495.46678799278
0.64128963.6508352924797.95740700067
0.65129884.7753673285137.97256863216
0.66130875.5013498835504.86055066599
0.67131940.3423150835885.22563806281
0.68133081.3475541346263.86783700188
0.69134297.7652853036624.0838277867
0.7135585.8920138886948.68281999878
0.71136939.1666594117221.45665404332
0.72138348.5483027277429.02310838315
0.73139803.1760733857562.13103875644
0.74141291.2501713127617.83251058521
0.75142801.0048149027599.46099826894
0.76144321.5868620877516.75711936542
0.77145843.6331699577383.65858901396
0.78147359.3778718837214.93907676143
0.79148862.2267303867021.8403955328
0.8150345.895874886809.26865049005
0.81151803.3864866766573.30847629706
0.82153226.1952268556303.22139683574
0.83154604.1801744325986.63090475124
0.84155926.3763581675614.84295533868
0.85157182.7993534355190.06948413442
0.86158366.9764186844727.99149309642
0.87159478.7539507724258.44654490938
0.88160527.027082743820.92668196536
0.89161532.562554633458.1941572634
0.9162532.0654765323211.79490690238
0.91163585.9421918053125.81255529629
0.92164793.5586030643267.27978195134
0.93166320.6342627023757.82520253018
0.94168441.6954940554786.53851389415
0.95171588.5580180276582.95813129908
0.96176354.7426085749385.85551848319
0.97183317.6846194513410.4350621177
0.98192467.82155949518650.7452361531
0.99202266.91552107924320.9792338749

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 72107.7864495657 & 3657.96675516578 \tabularnewline
0.02 & 73717.4117846855 & 3190.56399396898 \tabularnewline
0.03 & 75431.6247696011 & 3067.5177880656 \tabularnewline
0.04 & 77062.4819011273 & 3274.02979025519 \tabularnewline
0.05 & 78596.5815084987 & 3596.36820514867 \tabularnewline
0.06 & 80065.4968015227 & 3859.02109606822 \tabularnewline
0.07 & 81481.9038127862 & 3978.64508172921 \tabularnewline
0.08 & 82834.0420418393 & 3944.1569681516 \tabularnewline
0.09 & 84100.8171931085 & 3788.99239746072 \tabularnewline
0.1 & 85265.3370071177 & 3564.64133744225 \tabularnewline
0.11 & 86320.9696373653 & 3320.13287066994 \tabularnewline
0.12 & 87271.412094941 & 3091.04245239164 \tabularnewline
0.13 & 88127.8351134639 & 2897.5534178738 \tabularnewline
0.14 & 88905.4834124588 & 2748.8982737941 \tabularnewline
0.15 & 89620.9594855506 & 2648.99866808423 \tabularnewline
0.16 & 90290.5014590173 & 2598.50780614569 \tabularnewline
0.17 & 90929.0678134175 & 2596.74208638832 \tabularnewline
0.18 & 91549.9079345408 & 2640.24034309048 \tabularnewline
0.19 & 92164.3727135242 & 2723.00077961575 \tabularnewline
0.2 & 92781.8512959343 & 2837.36211442394 \tabularnewline
0.21 & 93409.8146387018 & 2975.30645932772 \tabularnewline
0.22 & 94053.9766487102 & 3130.32646427024 \tabularnewline
0.23 & 94718.5666425481 & 3297.67153666583 \tabularnewline
0.24 & 95406.6745143524 & 3474.38713708053 \tabularnewline
0.25 & 96120.6073225204 & 3659.4245727787 \tabularnewline
0.26 & 96862.193188489 & 3852.81479803666 \tabularnewline
0.27 & 97632.9831342969 & 4054.45245253999 \tabularnewline
0.28 & 98434.3256154548 & 4264.39733709162 \tabularnewline
0.29 & 99267.3139926119 & 4481.38874688197 \tabularnewline
0.3 & 100132.629023049 & 4702.63269871278 \tabularnewline
0.31 & 101030.314637311 & 4923.77081026232 \tabularnewline
0.32 & 101959.535280876 & 5138.55710014063 \tabularnewline
0.33 & 102918.366511585 & 5339.07053912506 \tabularnewline
0.34 & 103903.66661013 & 5517.033523991 \tabularnewline
0.35 & 104911.065257306 & 5664.21367259755 \tabularnewline
0.36 & 105935.086731092 & 5773.77762739499 \tabularnewline
0.37 & 106969.402327977 & 5840.92450008843 \tabularnewline
0.38 & 108007.184152238 & 5863.56617646154 \tabularnewline
0.39 & 109041.514866328 & 5842.81457454908 \tabularnewline
0.4 & 110065.799315396 & 5781.9939087354 \tabularnewline
0.41 & 111074.125838488 & 5686.9408306596 \tabularnewline
0.42 & 112061.536642904 & 5564.41287026003 \tabularnewline
0.43 & 113024.184683077 & 5421.63408440466 \tabularnewline
0.44 & 113959.374668387 & 5265.83453923496 \tabularnewline
0.45 & 114865.503800712 & 5103.3318538829 \tabularnewline
0.46 & 115741.930441126 & 4938.91862095277 \tabularnewline
0.47 & 116588.80471346 & 4776.50762923113 \tabularnewline
0.48 & 117406.89442925 & 4618.72666653637 \tabularnewline
0.49 & 118197.434308087 & 4467.40746252542 \tabularnewline
0.5 & 118962.018448106 & 4324.10661021057 \tabularnewline
0.51 & 119702.547345614 & 4189.98693558559 \tabularnewline
0.52 & 120421.232739909 & 4066.49004577141 \tabularnewline
0.53 & 121120.656604928 & 3955.73482113689 \tabularnewline
0.54 & 121803.874549116 & 3860.43182006917 \tabularnewline
0.55 & 122474.54837405 & 3784.25400701507 \tabularnewline
0.56 & 123137.087513601 & 3731.89706503156 \tabularnewline
0.57 & 123796.774992437 & 3708.99029308906 \tabularnewline
0.58 & 124459.851338922 & 3721.78090090149 \tabularnewline
0.59 & 125133.530608042 & 3776.62624959809 \tabularnewline
0.6 & 125825.926968368 & 3878.92616753902 \tabularnewline
0.61 & 126545.878037219 & 4032.64586940714 \tabularnewline
0.62 & 127302.661270803 & 4238.68939979658 \tabularnewline
0.63 & 128105.610622231 & 4495.46678799278 \tabularnewline
0.64 & 128963.650835292 & 4797.95740700067 \tabularnewline
0.65 & 129884.775367328 & 5137.97256863216 \tabularnewline
0.66 & 130875.501349883 & 5504.86055066599 \tabularnewline
0.67 & 131940.342315083 & 5885.22563806281 \tabularnewline
0.68 & 133081.347554134 & 6263.86783700188 \tabularnewline
0.69 & 134297.765285303 & 6624.0838277867 \tabularnewline
0.7 & 135585.892013888 & 6948.68281999878 \tabularnewline
0.71 & 136939.166659411 & 7221.45665404332 \tabularnewline
0.72 & 138348.548302727 & 7429.02310838315 \tabularnewline
0.73 & 139803.176073385 & 7562.13103875644 \tabularnewline
0.74 & 141291.250171312 & 7617.83251058521 \tabularnewline
0.75 & 142801.004814902 & 7599.46099826894 \tabularnewline
0.76 & 144321.586862087 & 7516.75711936542 \tabularnewline
0.77 & 145843.633169957 & 7383.65858901396 \tabularnewline
0.78 & 147359.377871883 & 7214.93907676143 \tabularnewline
0.79 & 148862.226730386 & 7021.8403955328 \tabularnewline
0.8 & 150345.89587488 & 6809.26865049005 \tabularnewline
0.81 & 151803.386486676 & 6573.30847629706 \tabularnewline
0.82 & 153226.195226855 & 6303.22139683574 \tabularnewline
0.83 & 154604.180174432 & 5986.63090475124 \tabularnewline
0.84 & 155926.376358167 & 5614.84295533868 \tabularnewline
0.85 & 157182.799353435 & 5190.06948413442 \tabularnewline
0.86 & 158366.976418684 & 4727.99149309642 \tabularnewline
0.87 & 159478.753950772 & 4258.44654490938 \tabularnewline
0.88 & 160527.02708274 & 3820.92668196536 \tabularnewline
0.89 & 161532.56255463 & 3458.1941572634 \tabularnewline
0.9 & 162532.065476532 & 3211.79490690238 \tabularnewline
0.91 & 163585.942191805 & 3125.81255529629 \tabularnewline
0.92 & 164793.558603064 & 3267.27978195134 \tabularnewline
0.93 & 166320.634262702 & 3757.82520253018 \tabularnewline
0.94 & 168441.695494055 & 4786.53851389415 \tabularnewline
0.95 & 171588.558018027 & 6582.95813129908 \tabularnewline
0.96 & 176354.742608574 & 9385.85551848319 \tabularnewline
0.97 & 183317.68461945 & 13410.4350621177 \tabularnewline
0.98 & 192467.821559495 & 18650.7452361531 \tabularnewline
0.99 & 202266.915521079 & 24320.9792338749 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]72107.7864495657[/C][C]3657.96675516578[/C][/ROW]
[ROW][C]0.02[/C][C]73717.4117846855[/C][C]3190.56399396898[/C][/ROW]
[ROW][C]0.03[/C][C]75431.6247696011[/C][C]3067.5177880656[/C][/ROW]
[ROW][C]0.04[/C][C]77062.4819011273[/C][C]3274.02979025519[/C][/ROW]
[ROW][C]0.05[/C][C]78596.5815084987[/C][C]3596.36820514867[/C][/ROW]
[ROW][C]0.06[/C][C]80065.4968015227[/C][C]3859.02109606822[/C][/ROW]
[ROW][C]0.07[/C][C]81481.9038127862[/C][C]3978.64508172921[/C][/ROW]
[ROW][C]0.08[/C][C]82834.0420418393[/C][C]3944.1569681516[/C][/ROW]
[ROW][C]0.09[/C][C]84100.8171931085[/C][C]3788.99239746072[/C][/ROW]
[ROW][C]0.1[/C][C]85265.3370071177[/C][C]3564.64133744225[/C][/ROW]
[ROW][C]0.11[/C][C]86320.9696373653[/C][C]3320.13287066994[/C][/ROW]
[ROW][C]0.12[/C][C]87271.412094941[/C][C]3091.04245239164[/C][/ROW]
[ROW][C]0.13[/C][C]88127.8351134639[/C][C]2897.5534178738[/C][/ROW]
[ROW][C]0.14[/C][C]88905.4834124588[/C][C]2748.8982737941[/C][/ROW]
[ROW][C]0.15[/C][C]89620.9594855506[/C][C]2648.99866808423[/C][/ROW]
[ROW][C]0.16[/C][C]90290.5014590173[/C][C]2598.50780614569[/C][/ROW]
[ROW][C]0.17[/C][C]90929.0678134175[/C][C]2596.74208638832[/C][/ROW]
[ROW][C]0.18[/C][C]91549.9079345408[/C][C]2640.24034309048[/C][/ROW]
[ROW][C]0.19[/C][C]92164.3727135242[/C][C]2723.00077961575[/C][/ROW]
[ROW][C]0.2[/C][C]92781.8512959343[/C][C]2837.36211442394[/C][/ROW]
[ROW][C]0.21[/C][C]93409.8146387018[/C][C]2975.30645932772[/C][/ROW]
[ROW][C]0.22[/C][C]94053.9766487102[/C][C]3130.32646427024[/C][/ROW]
[ROW][C]0.23[/C][C]94718.5666425481[/C][C]3297.67153666583[/C][/ROW]
[ROW][C]0.24[/C][C]95406.6745143524[/C][C]3474.38713708053[/C][/ROW]
[ROW][C]0.25[/C][C]96120.6073225204[/C][C]3659.4245727787[/C][/ROW]
[ROW][C]0.26[/C][C]96862.193188489[/C][C]3852.81479803666[/C][/ROW]
[ROW][C]0.27[/C][C]97632.9831342969[/C][C]4054.45245253999[/C][/ROW]
[ROW][C]0.28[/C][C]98434.3256154548[/C][C]4264.39733709162[/C][/ROW]
[ROW][C]0.29[/C][C]99267.3139926119[/C][C]4481.38874688197[/C][/ROW]
[ROW][C]0.3[/C][C]100132.629023049[/C][C]4702.63269871278[/C][/ROW]
[ROW][C]0.31[/C][C]101030.314637311[/C][C]4923.77081026232[/C][/ROW]
[ROW][C]0.32[/C][C]101959.535280876[/C][C]5138.55710014063[/C][/ROW]
[ROW][C]0.33[/C][C]102918.366511585[/C][C]5339.07053912506[/C][/ROW]
[ROW][C]0.34[/C][C]103903.66661013[/C][C]5517.033523991[/C][/ROW]
[ROW][C]0.35[/C][C]104911.065257306[/C][C]5664.21367259755[/C][/ROW]
[ROW][C]0.36[/C][C]105935.086731092[/C][C]5773.77762739499[/C][/ROW]
[ROW][C]0.37[/C][C]106969.402327977[/C][C]5840.92450008843[/C][/ROW]
[ROW][C]0.38[/C][C]108007.184152238[/C][C]5863.56617646154[/C][/ROW]
[ROW][C]0.39[/C][C]109041.514866328[/C][C]5842.81457454908[/C][/ROW]
[ROW][C]0.4[/C][C]110065.799315396[/C][C]5781.9939087354[/C][/ROW]
[ROW][C]0.41[/C][C]111074.125838488[/C][C]5686.9408306596[/C][/ROW]
[ROW][C]0.42[/C][C]112061.536642904[/C][C]5564.41287026003[/C][/ROW]
[ROW][C]0.43[/C][C]113024.184683077[/C][C]5421.63408440466[/C][/ROW]
[ROW][C]0.44[/C][C]113959.374668387[/C][C]5265.83453923496[/C][/ROW]
[ROW][C]0.45[/C][C]114865.503800712[/C][C]5103.3318538829[/C][/ROW]
[ROW][C]0.46[/C][C]115741.930441126[/C][C]4938.91862095277[/C][/ROW]
[ROW][C]0.47[/C][C]116588.80471346[/C][C]4776.50762923113[/C][/ROW]
[ROW][C]0.48[/C][C]117406.89442925[/C][C]4618.72666653637[/C][/ROW]
[ROW][C]0.49[/C][C]118197.434308087[/C][C]4467.40746252542[/C][/ROW]
[ROW][C]0.5[/C][C]118962.018448106[/C][C]4324.10661021057[/C][/ROW]
[ROW][C]0.51[/C][C]119702.547345614[/C][C]4189.98693558559[/C][/ROW]
[ROW][C]0.52[/C][C]120421.232739909[/C][C]4066.49004577141[/C][/ROW]
[ROW][C]0.53[/C][C]121120.656604928[/C][C]3955.73482113689[/C][/ROW]
[ROW][C]0.54[/C][C]121803.874549116[/C][C]3860.43182006917[/C][/ROW]
[ROW][C]0.55[/C][C]122474.54837405[/C][C]3784.25400701507[/C][/ROW]
[ROW][C]0.56[/C][C]123137.087513601[/C][C]3731.89706503156[/C][/ROW]
[ROW][C]0.57[/C][C]123796.774992437[/C][C]3708.99029308906[/C][/ROW]
[ROW][C]0.58[/C][C]124459.851338922[/C][C]3721.78090090149[/C][/ROW]
[ROW][C]0.59[/C][C]125133.530608042[/C][C]3776.62624959809[/C][/ROW]
[ROW][C]0.6[/C][C]125825.926968368[/C][C]3878.92616753902[/C][/ROW]
[ROW][C]0.61[/C][C]126545.878037219[/C][C]4032.64586940714[/C][/ROW]
[ROW][C]0.62[/C][C]127302.661270803[/C][C]4238.68939979658[/C][/ROW]
[ROW][C]0.63[/C][C]128105.610622231[/C][C]4495.46678799278[/C][/ROW]
[ROW][C]0.64[/C][C]128963.650835292[/C][C]4797.95740700067[/C][/ROW]
[ROW][C]0.65[/C][C]129884.775367328[/C][C]5137.97256863216[/C][/ROW]
[ROW][C]0.66[/C][C]130875.501349883[/C][C]5504.86055066599[/C][/ROW]
[ROW][C]0.67[/C][C]131940.342315083[/C][C]5885.22563806281[/C][/ROW]
[ROW][C]0.68[/C][C]133081.347554134[/C][C]6263.86783700188[/C][/ROW]
[ROW][C]0.69[/C][C]134297.765285303[/C][C]6624.0838277867[/C][/ROW]
[ROW][C]0.7[/C][C]135585.892013888[/C][C]6948.68281999878[/C][/ROW]
[ROW][C]0.71[/C][C]136939.166659411[/C][C]7221.45665404332[/C][/ROW]
[ROW][C]0.72[/C][C]138348.548302727[/C][C]7429.02310838315[/C][/ROW]
[ROW][C]0.73[/C][C]139803.176073385[/C][C]7562.13103875644[/C][/ROW]
[ROW][C]0.74[/C][C]141291.250171312[/C][C]7617.83251058521[/C][/ROW]
[ROW][C]0.75[/C][C]142801.004814902[/C][C]7599.46099826894[/C][/ROW]
[ROW][C]0.76[/C][C]144321.586862087[/C][C]7516.75711936542[/C][/ROW]
[ROW][C]0.77[/C][C]145843.633169957[/C][C]7383.65858901396[/C][/ROW]
[ROW][C]0.78[/C][C]147359.377871883[/C][C]7214.93907676143[/C][/ROW]
[ROW][C]0.79[/C][C]148862.226730386[/C][C]7021.8403955328[/C][/ROW]
[ROW][C]0.8[/C][C]150345.89587488[/C][C]6809.26865049005[/C][/ROW]
[ROW][C]0.81[/C][C]151803.386486676[/C][C]6573.30847629706[/C][/ROW]
[ROW][C]0.82[/C][C]153226.195226855[/C][C]6303.22139683574[/C][/ROW]
[ROW][C]0.83[/C][C]154604.180174432[/C][C]5986.63090475124[/C][/ROW]
[ROW][C]0.84[/C][C]155926.376358167[/C][C]5614.84295533868[/C][/ROW]
[ROW][C]0.85[/C][C]157182.799353435[/C][C]5190.06948413442[/C][/ROW]
[ROW][C]0.86[/C][C]158366.976418684[/C][C]4727.99149309642[/C][/ROW]
[ROW][C]0.87[/C][C]159478.753950772[/C][C]4258.44654490938[/C][/ROW]
[ROW][C]0.88[/C][C]160527.02708274[/C][C]3820.92668196536[/C][/ROW]
[ROW][C]0.89[/C][C]161532.56255463[/C][C]3458.1941572634[/C][/ROW]
[ROW][C]0.9[/C][C]162532.065476532[/C][C]3211.79490690238[/C][/ROW]
[ROW][C]0.91[/C][C]163585.942191805[/C][C]3125.81255529629[/C][/ROW]
[ROW][C]0.92[/C][C]164793.558603064[/C][C]3267.27978195134[/C][/ROW]
[ROW][C]0.93[/C][C]166320.634262702[/C][C]3757.82520253018[/C][/ROW]
[ROW][C]0.94[/C][C]168441.695494055[/C][C]4786.53851389415[/C][/ROW]
[ROW][C]0.95[/C][C]171588.558018027[/C][C]6582.95813129908[/C][/ROW]
[ROW][C]0.96[/C][C]176354.742608574[/C][C]9385.85551848319[/C][/ROW]
[ROW][C]0.97[/C][C]183317.68461945[/C][C]13410.4350621177[/C][/ROW]
[ROW][C]0.98[/C][C]192467.821559495[/C][C]18650.7452361531[/C][/ROW]
[ROW][C]0.99[/C][C]202266.915521079[/C][C]24320.9792338749[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

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


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0172107.78644956573657.96675516578
0.0273717.41178468553190.56399396898
0.0375431.62476960113067.5177880656
0.0477062.48190112733274.02979025519
0.0578596.58150849873596.36820514867
0.0680065.49680152273859.02109606822
0.0781481.90381278623978.64508172921
0.0882834.04204183933944.1569681516
0.0984100.81719310853788.99239746072
0.185265.33700711773564.64133744225
0.1186320.96963736533320.13287066994
0.1287271.4120949413091.04245239164
0.1388127.83511346392897.5534178738
0.1488905.48341245882748.8982737941
0.1589620.95948555062648.99866808423
0.1690290.50145901732598.50780614569
0.1790929.06781341752596.74208638832
0.1891549.90793454082640.24034309048
0.1992164.37271352422723.00077961575
0.292781.85129593432837.36211442394
0.2193409.81463870182975.30645932772
0.2294053.97664871023130.32646427024
0.2394718.56664254813297.67153666583
0.2495406.67451435243474.38713708053
0.2596120.60732252043659.4245727787
0.2696862.1931884893852.81479803666
0.2797632.98313429694054.45245253999
0.2898434.32561545484264.39733709162
0.2999267.31399261194481.38874688197
0.3100132.6290230494702.63269871278
0.31101030.3146373114923.77081026232
0.32101959.5352808765138.55710014063
0.33102918.3665115855339.07053912506
0.34103903.666610135517.033523991
0.35104911.0652573065664.21367259755
0.36105935.0867310925773.77762739499
0.37106969.4023279775840.92450008843
0.38108007.1841522385863.56617646154
0.39109041.5148663285842.81457454908
0.4110065.7993153965781.9939087354
0.41111074.1258384885686.9408306596
0.42112061.5366429045564.41287026003
0.43113024.1846830775421.63408440466
0.44113959.3746683875265.83453923496
0.45114865.5038007125103.3318538829
0.46115741.9304411264938.91862095277
0.47116588.804713464776.50762923113
0.48117406.894429254618.72666653637
0.49118197.4343080874467.40746252542
0.5118962.0184481064324.10661021057
0.51119702.5473456144189.98693558559
0.52120421.2327399094066.49004577141
0.53121120.6566049283955.73482113689
0.54121803.8745491163860.43182006917
0.55122474.548374053784.25400701507
0.56123137.0875136013731.89706503156
0.57123796.7749924373708.99029308906
0.58124459.8513389223721.78090090149
0.59125133.5306080423776.62624959809
0.6125825.9269683683878.92616753902
0.61126545.8780372194032.64586940714
0.62127302.6612708034238.68939979658
0.63128105.6106222314495.46678799278
0.64128963.6508352924797.95740700067
0.65129884.7753673285137.97256863216
0.66130875.5013498835504.86055066599
0.67131940.3423150835885.22563806281
0.68133081.3475541346263.86783700188
0.69134297.7652853036624.0838277867
0.7135585.8920138886948.68281999878
0.71136939.1666594117221.45665404332
0.72138348.5483027277429.02310838315
0.73139803.1760733857562.13103875644
0.74141291.2501713127617.83251058521
0.75142801.0048149027599.46099826894
0.76144321.5868620877516.75711936542
0.77145843.6331699577383.65858901396
0.78147359.3778718837214.93907676143
0.79148862.2267303867021.8403955328
0.8150345.895874886809.26865049005
0.81151803.3864866766573.30847629706
0.82153226.1952268556303.22139683574
0.83154604.1801744325986.63090475124
0.84155926.3763581675614.84295533868
0.85157182.7993534355190.06948413442
0.86158366.9764186844727.99149309642
0.87159478.7539507724258.44654490938
0.88160527.027082743820.92668196536
0.89161532.562554633458.1941572634
0.9162532.0654765323211.79490690238
0.91163585.9421918053125.81255529629
0.92164793.5586030643267.27978195134
0.93166320.6342627023757.82520253018
0.94168441.6954940554786.53851389415
0.95171588.5580180276582.95813129908
0.96176354.7426085749385.85551848319
0.97183317.6846194513410.4350621177
0.98192467.82155949518650.7452361531
0.99202266.91552107924320.9792338749


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')