FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 19 Oct 2008 13:28:35 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/19/t1224444544yswvhwoc35ov57p.htm/, Retrieved Sun, 19 May 2024 14:46:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17083, Retrieved Sun, 19 May 2024 14:46:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [blog 1e tijdreeks...] [2008-10-13 19:23:31] [7173087adebe3e3a714c80ea2417b3eb]
-   PD  [Univariate Data Series] [tijdreeksen opnie...] [2008-10-19 17:27:22] [7173087adebe3e3a714c80ea2417b3eb]
-   PD    [Univariate Data Series] [tijdreeksen opnie...] [2008-10-19 19:20:45] [7173087adebe3e3a714c80ea2417b3eb]
- RM          [Harrell-Davis Quantiles] [harrel and davis ...] [2008-10-19 19:28:35] [95d95b0e883740fcbc85e18ec42dcafb] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1712
2641
2267
2126
2231
1517
2010
2628
2115
1829
1636
1787
2122
2620
2555
2337
2524
1801
2417
2389
2267
2135
1760
1905
2176
2344
2673
2766
2785
2003
2588
2739
2703
2464
1974
2164
2385
2936
2700
2855
2764
1808
2588
2600
2526
2259
1738
1902
2137
2460
2495
2525
2465
1828
2273
2377
2344
2071
1611
1671

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17083&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17083&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17083&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011538.0555809393079.8924275083313
0.021568.4464925862464.728424588316
0.031599.5998432382254.2389953324883
0.041627.3554973005850.3847780296189
0.051651.2825824463650.5371605270201
0.061672.3532587675451.6517647079233
0.071691.5017702468452.2104605923687
0.081709.2450391189851.8865148847909
0.091725.7997196250250.9273435397792
0.11741.276485406749.7780805194855
0.111755.8022386663648.9014615033056
0.121769.5647716229548.7110969812596
0.131782.8114692334849.5477852240485
0.141795.8277783194951.6252487333939
0.151808.9089880112554.9878375203285
0.161822.3314597714259.5016565414212
0.171836.3266936496664.8766557411856
0.181851.0609287393270.7267157153611
0.191866.6224616277576.6300529133691
0.21883.0178452408682.1824990998951
0.211900.1767429636587.0334598458263
0.221917.9639105852190.9188442194884
0.231936.1959493577793.66051736315
0.241954.6602681065795.1727734424444
0.251973.1340195520695.4572374494848
0.261991.4013969306594.586519190533
0.272009.2683282304892.692809660378
0.282026.5740973262889.9634311469548
0.292043.1996849299886.6271827691511
0.32059.0727017973382.942401004244
0.312074.1687940665279.181178021317
0.322088.5094558481575.6155336615669
0.332102.1563638070272.4902360663145
0.342115.2026588063569.9881884881434
0.352127.7619790915268.2306395637006
0.362139.9563945659767.2285458898767
0.372151.9045954704666.9172018573438
0.382163.7116770656467.1542953562631
0.392175.4616168460667.7516217461877
0.42187.2131054853868.5209059806204
0.412198.9988577867069.288594669064
0.422210.8280076586269.9157012734414
0.432222.6907854524470.3221820700084
0.442234.5644569634270.4645529082175
0.452246.4194928187770.3500599837996
0.462258.2251076737970.0050290795618
0.472269.9535964435269.4769727381737
0.482281.5832187970368.822782301434
0.492293.0996680056768.0917871132667
0.52304.4963543954767.330942135221
0.512315.7738187900266.5744732695963
0.522326.9385814883965.8517623004987
0.532338.0016640496265.1904364275574
0.542348.9769385706664.6027451277145
0.552359.8793989469264.095544812234
0.562370.7234295769163.664493084512
0.572381.5211666552163.2902665654462
0.582392.2810859368762.9482195607738
0.592403.0069810342862.5963987248024
0.62413.6974932114562.2006695856962
0.612424.346304289861.7174023127161
0.622434.9430116827961.1193178356699
0.632445.4745866724860.3927241733456
0.642455.9272013628259.540830630021
0.652466.2881259258458.5775509438264
0.662476.5473701472857.5291788952223
0.672486.6987852635456.431299912166
0.682496.7404527568355.3186953036677
0.692506.6743498963554.2200953575757
0.72516.5054668899853.150970163105
0.712526.2407162408752.1171202975375
0.722535.8880755543951.1116219514615
0.732545.4564001112050.1240103501251
0.742554.9562079170649.1456080844347
0.752564.4014840780948.1774142903413
0.762573.8122170022747.2477987029456
0.772583.2170459206846.4008255645212
0.782592.6551693045445.6999725331891
0.792602.1766330620545.2136375168863
0.82611.8403400758944.9948579644521
0.812621.7095767026445.0623335287244
0.822631.8454249072945.3829423623449
0.832642.2989439424545.8732390448883
0.842653.1033012481846.4044427733746
0.852664.2670842208046.8310562435157
0.862675.7700566280447.0039852593846
0.872687.5631058430146.7915663043893
0.882699.5755419728146.0858950396817
0.892711.7352361040244.8256222510509
0.92724.0091536499843.0347551625713
0.912736.4710247665840.9185684496658
0.922749.3957705249439.004366830964
0.932763.3642933450238.2570164317556
0.942779.3362695118239.9271668572012
0.952798.609027744744.7934745372662
0.962822.5163541200852.2985257826302
0.972851.6420720048560.7308706015075
0.982884.3864312989568.5059562170754
0.992915.3920976493675.0839119543425

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1538.05558093930 & 79.8924275083313 \tabularnewline
0.02 & 1568.44649258624 & 64.728424588316 \tabularnewline
0.03 & 1599.59984323822 & 54.2389953324883 \tabularnewline
0.04 & 1627.35549730058 & 50.3847780296189 \tabularnewline
0.05 & 1651.28258244636 & 50.5371605270201 \tabularnewline
0.06 & 1672.35325876754 & 51.6517647079233 \tabularnewline
0.07 & 1691.50177024684 & 52.2104605923687 \tabularnewline
0.08 & 1709.24503911898 & 51.8865148847909 \tabularnewline
0.09 & 1725.79971962502 & 50.9273435397792 \tabularnewline
0.1 & 1741.2764854067 & 49.7780805194855 \tabularnewline
0.11 & 1755.80223866636 & 48.9014615033056 \tabularnewline
0.12 & 1769.56477162295 & 48.7110969812596 \tabularnewline
0.13 & 1782.81146923348 & 49.5477852240485 \tabularnewline
0.14 & 1795.82777831949 & 51.6252487333939 \tabularnewline
0.15 & 1808.90898801125 & 54.9878375203285 \tabularnewline
0.16 & 1822.33145977142 & 59.5016565414212 \tabularnewline
0.17 & 1836.32669364966 & 64.8766557411856 \tabularnewline
0.18 & 1851.06092873932 & 70.7267157153611 \tabularnewline
0.19 & 1866.62246162775 & 76.6300529133691 \tabularnewline
0.2 & 1883.01784524086 & 82.1824990998951 \tabularnewline
0.21 & 1900.17674296365 & 87.0334598458263 \tabularnewline
0.22 & 1917.96391058521 & 90.9188442194884 \tabularnewline
0.23 & 1936.19594935777 & 93.66051736315 \tabularnewline
0.24 & 1954.66026810657 & 95.1727734424444 \tabularnewline
0.25 & 1973.13401955206 & 95.4572374494848 \tabularnewline
0.26 & 1991.40139693065 & 94.586519190533 \tabularnewline
0.27 & 2009.26832823048 & 92.692809660378 \tabularnewline
0.28 & 2026.57409732628 & 89.9634311469548 \tabularnewline
0.29 & 2043.19968492998 & 86.6271827691511 \tabularnewline
0.3 & 2059.07270179733 & 82.942401004244 \tabularnewline
0.31 & 2074.16879406652 & 79.181178021317 \tabularnewline
0.32 & 2088.50945584815 & 75.6155336615669 \tabularnewline
0.33 & 2102.15636380702 & 72.4902360663145 \tabularnewline
0.34 & 2115.20265880635 & 69.9881884881434 \tabularnewline
0.35 & 2127.76197909152 & 68.2306395637006 \tabularnewline
0.36 & 2139.95639456597 & 67.2285458898767 \tabularnewline
0.37 & 2151.90459547046 & 66.9172018573438 \tabularnewline
0.38 & 2163.71167706564 & 67.1542953562631 \tabularnewline
0.39 & 2175.46161684606 & 67.7516217461877 \tabularnewline
0.4 & 2187.21310548538 & 68.5209059806204 \tabularnewline
0.41 & 2198.99885778670 & 69.288594669064 \tabularnewline
0.42 & 2210.82800765862 & 69.9157012734414 \tabularnewline
0.43 & 2222.69078545244 & 70.3221820700084 \tabularnewline
0.44 & 2234.56445696342 & 70.4645529082175 \tabularnewline
0.45 & 2246.41949281877 & 70.3500599837996 \tabularnewline
0.46 & 2258.22510767379 & 70.0050290795618 \tabularnewline
0.47 & 2269.95359644352 & 69.4769727381737 \tabularnewline
0.48 & 2281.58321879703 & 68.822782301434 \tabularnewline
0.49 & 2293.09966800567 & 68.0917871132667 \tabularnewline
0.5 & 2304.49635439547 & 67.330942135221 \tabularnewline
0.51 & 2315.77381879002 & 66.5744732695963 \tabularnewline
0.52 & 2326.93858148839 & 65.8517623004987 \tabularnewline
0.53 & 2338.00166404962 & 65.1904364275574 \tabularnewline
0.54 & 2348.97693857066 & 64.6027451277145 \tabularnewline
0.55 & 2359.87939894692 & 64.095544812234 \tabularnewline
0.56 & 2370.72342957691 & 63.664493084512 \tabularnewline
0.57 & 2381.52116665521 & 63.2902665654462 \tabularnewline
0.58 & 2392.28108593687 & 62.9482195607738 \tabularnewline
0.59 & 2403.00698103428 & 62.5963987248024 \tabularnewline
0.6 & 2413.69749321145 & 62.2006695856962 \tabularnewline
0.61 & 2424.3463042898 & 61.7174023127161 \tabularnewline
0.62 & 2434.94301168279 & 61.1193178356699 \tabularnewline
0.63 & 2445.47458667248 & 60.3927241733456 \tabularnewline
0.64 & 2455.92720136282 & 59.540830630021 \tabularnewline
0.65 & 2466.28812592584 & 58.5775509438264 \tabularnewline
0.66 & 2476.54737014728 & 57.5291788952223 \tabularnewline
0.67 & 2486.69878526354 & 56.431299912166 \tabularnewline
0.68 & 2496.74045275683 & 55.3186953036677 \tabularnewline
0.69 & 2506.67434989635 & 54.2200953575757 \tabularnewline
0.7 & 2516.50546688998 & 53.150970163105 \tabularnewline
0.71 & 2526.24071624087 & 52.1171202975375 \tabularnewline
0.72 & 2535.88807555439 & 51.1116219514615 \tabularnewline
0.73 & 2545.45640011120 & 50.1240103501251 \tabularnewline
0.74 & 2554.95620791706 & 49.1456080844347 \tabularnewline
0.75 & 2564.40148407809 & 48.1774142903413 \tabularnewline
0.76 & 2573.81221700227 & 47.2477987029456 \tabularnewline
0.77 & 2583.21704592068 & 46.4008255645212 \tabularnewline
0.78 & 2592.65516930454 & 45.6999725331891 \tabularnewline
0.79 & 2602.17663306205 & 45.2136375168863 \tabularnewline
0.8 & 2611.84034007589 & 44.9948579644521 \tabularnewline
0.81 & 2621.70957670264 & 45.0623335287244 \tabularnewline
0.82 & 2631.84542490729 & 45.3829423623449 \tabularnewline
0.83 & 2642.29894394245 & 45.8732390448883 \tabularnewline
0.84 & 2653.10330124818 & 46.4044427733746 \tabularnewline
0.85 & 2664.26708422080 & 46.8310562435157 \tabularnewline
0.86 & 2675.77005662804 & 47.0039852593846 \tabularnewline
0.87 & 2687.56310584301 & 46.7915663043893 \tabularnewline
0.88 & 2699.57554197281 & 46.0858950396817 \tabularnewline
0.89 & 2711.73523610402 & 44.8256222510509 \tabularnewline
0.9 & 2724.00915364998 & 43.0347551625713 \tabularnewline
0.91 & 2736.47102476658 & 40.9185684496658 \tabularnewline
0.92 & 2749.39577052494 & 39.004366830964 \tabularnewline
0.93 & 2763.36429334502 & 38.2570164317556 \tabularnewline
0.94 & 2779.33626951182 & 39.9271668572012 \tabularnewline
0.95 & 2798.6090277447 & 44.7934745372662 \tabularnewline
0.96 & 2822.51635412008 & 52.2985257826302 \tabularnewline
0.97 & 2851.64207200485 & 60.7308706015075 \tabularnewline
0.98 & 2884.38643129895 & 68.5059562170754 \tabularnewline
0.99 & 2915.39209764936 & 75.0839119543425 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17083&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]1538.05558093930[/C][C]79.8924275083313[/C][/ROW]
[ROW][C]0.02[/C][C]1568.44649258624[/C][C]64.728424588316[/C][/ROW]
[ROW][C]0.03[/C][C]1599.59984323822[/C][C]54.2389953324883[/C][/ROW]
[ROW][C]0.04[/C][C]1627.35549730058[/C][C]50.3847780296189[/C][/ROW]
[ROW][C]0.05[/C][C]1651.28258244636[/C][C]50.5371605270201[/C][/ROW]
[ROW][C]0.06[/C][C]1672.35325876754[/C][C]51.6517647079233[/C][/ROW]
[ROW][C]0.07[/C][C]1691.50177024684[/C][C]52.2104605923687[/C][/ROW]
[ROW][C]0.08[/C][C]1709.24503911898[/C][C]51.8865148847909[/C][/ROW]
[ROW][C]0.09[/C][C]1725.79971962502[/C][C]50.9273435397792[/C][/ROW]
[ROW][C]0.1[/C][C]1741.2764854067[/C][C]49.7780805194855[/C][/ROW]
[ROW][C]0.11[/C][C]1755.80223866636[/C][C]48.9014615033056[/C][/ROW]
[ROW][C]0.12[/C][C]1769.56477162295[/C][C]48.7110969812596[/C][/ROW]
[ROW][C]0.13[/C][C]1782.81146923348[/C][C]49.5477852240485[/C][/ROW]
[ROW][C]0.14[/C][C]1795.82777831949[/C][C]51.6252487333939[/C][/ROW]
[ROW][C]0.15[/C][C]1808.90898801125[/C][C]54.9878375203285[/C][/ROW]
[ROW][C]0.16[/C][C]1822.33145977142[/C][C]59.5016565414212[/C][/ROW]
[ROW][C]0.17[/C][C]1836.32669364966[/C][C]64.8766557411856[/C][/ROW]
[ROW][C]0.18[/C][C]1851.06092873932[/C][C]70.7267157153611[/C][/ROW]
[ROW][C]0.19[/C][C]1866.62246162775[/C][C]76.6300529133691[/C][/ROW]
[ROW][C]0.2[/C][C]1883.01784524086[/C][C]82.1824990998951[/C][/ROW]
[ROW][C]0.21[/C][C]1900.17674296365[/C][C]87.0334598458263[/C][/ROW]
[ROW][C]0.22[/C][C]1917.96391058521[/C][C]90.9188442194884[/C][/ROW]
[ROW][C]0.23[/C][C]1936.19594935777[/C][C]93.66051736315[/C][/ROW]
[ROW][C]0.24[/C][C]1954.66026810657[/C][C]95.1727734424444[/C][/ROW]
[ROW][C]0.25[/C][C]1973.13401955206[/C][C]95.4572374494848[/C][/ROW]
[ROW][C]0.26[/C][C]1991.40139693065[/C][C]94.586519190533[/C][/ROW]
[ROW][C]0.27[/C][C]2009.26832823048[/C][C]92.692809660378[/C][/ROW]
[ROW][C]0.28[/C][C]2026.57409732628[/C][C]89.9634311469548[/C][/ROW]
[ROW][C]0.29[/C][C]2043.19968492998[/C][C]86.6271827691511[/C][/ROW]
[ROW][C]0.3[/C][C]2059.07270179733[/C][C]82.942401004244[/C][/ROW]
[ROW][C]0.31[/C][C]2074.16879406652[/C][C]79.181178021317[/C][/ROW]
[ROW][C]0.32[/C][C]2088.50945584815[/C][C]75.6155336615669[/C][/ROW]
[ROW][C]0.33[/C][C]2102.15636380702[/C][C]72.4902360663145[/C][/ROW]
[ROW][C]0.34[/C][C]2115.20265880635[/C][C]69.9881884881434[/C][/ROW]
[ROW][C]0.35[/C][C]2127.76197909152[/C][C]68.2306395637006[/C][/ROW]
[ROW][C]0.36[/C][C]2139.95639456597[/C][C]67.2285458898767[/C][/ROW]
[ROW][C]0.37[/C][C]2151.90459547046[/C][C]66.9172018573438[/C][/ROW]
[ROW][C]0.38[/C][C]2163.71167706564[/C][C]67.1542953562631[/C][/ROW]
[ROW][C]0.39[/C][C]2175.46161684606[/C][C]67.7516217461877[/C][/ROW]
[ROW][C]0.4[/C][C]2187.21310548538[/C][C]68.5209059806204[/C][/ROW]
[ROW][C]0.41[/C][C]2198.99885778670[/C][C]69.288594669064[/C][/ROW]
[ROW][C]0.42[/C][C]2210.82800765862[/C][C]69.9157012734414[/C][/ROW]
[ROW][C]0.43[/C][C]2222.69078545244[/C][C]70.3221820700084[/C][/ROW]
[ROW][C]0.44[/C][C]2234.56445696342[/C][C]70.4645529082175[/C][/ROW]
[ROW][C]0.45[/C][C]2246.41949281877[/C][C]70.3500599837996[/C][/ROW]
[ROW][C]0.46[/C][C]2258.22510767379[/C][C]70.0050290795618[/C][/ROW]
[ROW][C]0.47[/C][C]2269.95359644352[/C][C]69.4769727381737[/C][/ROW]
[ROW][C]0.48[/C][C]2281.58321879703[/C][C]68.822782301434[/C][/ROW]
[ROW][C]0.49[/C][C]2293.09966800567[/C][C]68.0917871132667[/C][/ROW]
[ROW][C]0.5[/C][C]2304.49635439547[/C][C]67.330942135221[/C][/ROW]
[ROW][C]0.51[/C][C]2315.77381879002[/C][C]66.5744732695963[/C][/ROW]
[ROW][C]0.52[/C][C]2326.93858148839[/C][C]65.8517623004987[/C][/ROW]
[ROW][C]0.53[/C][C]2338.00166404962[/C][C]65.1904364275574[/C][/ROW]
[ROW][C]0.54[/C][C]2348.97693857066[/C][C]64.6027451277145[/C][/ROW]
[ROW][C]0.55[/C][C]2359.87939894692[/C][C]64.095544812234[/C][/ROW]
[ROW][C]0.56[/C][C]2370.72342957691[/C][C]63.664493084512[/C][/ROW]
[ROW][C]0.57[/C][C]2381.52116665521[/C][C]63.2902665654462[/C][/ROW]
[ROW][C]0.58[/C][C]2392.28108593687[/C][C]62.9482195607738[/C][/ROW]
[ROW][C]0.59[/C][C]2403.00698103428[/C][C]62.5963987248024[/C][/ROW]
[ROW][C]0.6[/C][C]2413.69749321145[/C][C]62.2006695856962[/C][/ROW]
[ROW][C]0.61[/C][C]2424.3463042898[/C][C]61.7174023127161[/C][/ROW]
[ROW][C]0.62[/C][C]2434.94301168279[/C][C]61.1193178356699[/C][/ROW]
[ROW][C]0.63[/C][C]2445.47458667248[/C][C]60.3927241733456[/C][/ROW]
[ROW][C]0.64[/C][C]2455.92720136282[/C][C]59.540830630021[/C][/ROW]
[ROW][C]0.65[/C][C]2466.28812592584[/C][C]58.5775509438264[/C][/ROW]
[ROW][C]0.66[/C][C]2476.54737014728[/C][C]57.5291788952223[/C][/ROW]
[ROW][C]0.67[/C][C]2486.69878526354[/C][C]56.431299912166[/C][/ROW]
[ROW][C]0.68[/C][C]2496.74045275683[/C][C]55.3186953036677[/C][/ROW]
[ROW][C]0.69[/C][C]2506.67434989635[/C][C]54.2200953575757[/C][/ROW]
[ROW][C]0.7[/C][C]2516.50546688998[/C][C]53.150970163105[/C][/ROW]
[ROW][C]0.71[/C][C]2526.24071624087[/C][C]52.1171202975375[/C][/ROW]
[ROW][C]0.72[/C][C]2535.88807555439[/C][C]51.1116219514615[/C][/ROW]
[ROW][C]0.73[/C][C]2545.45640011120[/C][C]50.1240103501251[/C][/ROW]
[ROW][C]0.74[/C][C]2554.95620791706[/C][C]49.1456080844347[/C][/ROW]
[ROW][C]0.75[/C][C]2564.40148407809[/C][C]48.1774142903413[/C][/ROW]
[ROW][C]0.76[/C][C]2573.81221700227[/C][C]47.2477987029456[/C][/ROW]
[ROW][C]0.77[/C][C]2583.21704592068[/C][C]46.4008255645212[/C][/ROW]
[ROW][C]0.78[/C][C]2592.65516930454[/C][C]45.6999725331891[/C][/ROW]
[ROW][C]0.79[/C][C]2602.17663306205[/C][C]45.2136375168863[/C][/ROW]
[ROW][C]0.8[/C][C]2611.84034007589[/C][C]44.9948579644521[/C][/ROW]
[ROW][C]0.81[/C][C]2621.70957670264[/C][C]45.0623335287244[/C][/ROW]
[ROW][C]0.82[/C][C]2631.84542490729[/C][C]45.3829423623449[/C][/ROW]
[ROW][C]0.83[/C][C]2642.29894394245[/C][C]45.8732390448883[/C][/ROW]
[ROW][C]0.84[/C][C]2653.10330124818[/C][C]46.4044427733746[/C][/ROW]
[ROW][C]0.85[/C][C]2664.26708422080[/C][C]46.8310562435157[/C][/ROW]
[ROW][C]0.86[/C][C]2675.77005662804[/C][C]47.0039852593846[/C][/ROW]
[ROW][C]0.87[/C][C]2687.56310584301[/C][C]46.7915663043893[/C][/ROW]
[ROW][C]0.88[/C][C]2699.57554197281[/C][C]46.0858950396817[/C][/ROW]
[ROW][C]0.89[/C][C]2711.73523610402[/C][C]44.8256222510509[/C][/ROW]
[ROW][C]0.9[/C][C]2724.00915364998[/C][C]43.0347551625713[/C][/ROW]
[ROW][C]0.91[/C][C]2736.47102476658[/C][C]40.9185684496658[/C][/ROW]
[ROW][C]0.92[/C][C]2749.39577052494[/C][C]39.004366830964[/C][/ROW]
[ROW][C]0.93[/C][C]2763.36429334502[/C][C]38.2570164317556[/C][/ROW]
[ROW][C]0.94[/C][C]2779.33626951182[/C][C]39.9271668572012[/C][/ROW]
[ROW][C]0.95[/C][C]2798.6090277447[/C][C]44.7934745372662[/C][/ROW]
[ROW][C]0.96[/C][C]2822.51635412008[/C][C]52.2985257826302[/C][/ROW]
[ROW][C]0.97[/C][C]2851.64207200485[/C][C]60.7308706015075[/C][/ROW]
[ROW][C]0.98[/C][C]2884.38643129895[/C][C]68.5059562170754[/C][/ROW]
[ROW][C]0.99[/C][C]2915.39209764936[/C][C]75.0839119543425[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17083&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17083&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
0.011538.0555809393079.8924275083313
0.021568.4464925862464.728424588316
0.031599.5998432382254.2389953324883
0.041627.3554973005850.3847780296189
0.051651.2825824463650.5371605270201
0.061672.3532587675451.6517647079233
0.071691.5017702468452.2104605923687
0.081709.2450391189851.8865148847909
0.091725.7997196250250.9273435397792
0.11741.276485406749.7780805194855
0.111755.8022386663648.9014615033056
0.121769.5647716229548.7110969812596
0.131782.8114692334849.5477852240485
0.141795.8277783194951.6252487333939
0.151808.9089880112554.9878375203285
0.161822.3314597714259.5016565414212
0.171836.3266936496664.8766557411856
0.181851.0609287393270.7267157153611
0.191866.6224616277576.6300529133691
0.21883.0178452408682.1824990998951
0.211900.1767429636587.0334598458263
0.221917.9639105852190.9188442194884
0.231936.1959493577793.66051736315
0.241954.6602681065795.1727734424444
0.251973.1340195520695.4572374494848
0.261991.4013969306594.586519190533
0.272009.2683282304892.692809660378
0.282026.5740973262889.9634311469548
0.292043.1996849299886.6271827691511
0.32059.0727017973382.942401004244
0.312074.1687940665279.181178021317
0.322088.5094558481575.6155336615669
0.332102.1563638070272.4902360663145
0.342115.2026588063569.9881884881434
0.352127.7619790915268.2306395637006
0.362139.9563945659767.2285458898767
0.372151.9045954704666.9172018573438
0.382163.7116770656467.1542953562631
0.392175.4616168460667.7516217461877
0.42187.2131054853868.5209059806204
0.412198.9988577867069.288594669064
0.422210.8280076586269.9157012734414
0.432222.6907854524470.3221820700084
0.442234.5644569634270.4645529082175
0.452246.4194928187770.3500599837996
0.462258.2251076737970.0050290795618
0.472269.9535964435269.4769727381737
0.482281.5832187970368.822782301434
0.492293.0996680056768.0917871132667
0.52304.4963543954767.330942135221
0.512315.7738187900266.5744732695963
0.522326.9385814883965.8517623004987
0.532338.0016640496265.1904364275574
0.542348.9769385706664.6027451277145
0.552359.8793989469264.095544812234
0.562370.7234295769163.664493084512
0.572381.5211666552163.2902665654462
0.582392.2810859368762.9482195607738
0.592403.0069810342862.5963987248024
0.62413.6974932114562.2006695856962
0.612424.346304289861.7174023127161
0.622434.9430116827961.1193178356699
0.632445.4745866724860.3927241733456
0.642455.9272013628259.540830630021
0.652466.2881259258458.5775509438264
0.662476.5473701472857.5291788952223
0.672486.6987852635456.431299912166
0.682496.7404527568355.3186953036677
0.692506.6743498963554.2200953575757
0.72516.5054668899853.150970163105
0.712526.2407162408752.1171202975375
0.722535.8880755543951.1116219514615
0.732545.4564001112050.1240103501251
0.742554.9562079170649.1456080844347
0.752564.4014840780948.1774142903413
0.762573.8122170022747.2477987029456
0.772583.2170459206846.4008255645212
0.782592.6551693045445.6999725331891
0.792602.1766330620545.2136375168863
0.82611.8403400758944.9948579644521
0.812621.7095767026445.0623335287244
0.822631.8454249072945.3829423623449
0.832642.2989439424545.8732390448883
0.842653.1033012481846.4044427733746
0.852664.2670842208046.8310562435157
0.862675.7700566280447.0039852593846
0.872687.5631058430146.7915663043893
0.882699.5755419728146.0858950396817
0.892711.7352361040244.8256222510509
0.92724.0091536499843.0347551625713
0.912736.4710247665840.9185684496658
0.922749.3957705249439.004366830964
0.932763.3642933450238.2570164317556
0.942779.3362695118239.9271668572012
0.952798.609027744744.7934745372662
0.962822.5163541200852.2985257826302
0.972851.6420720048560.7308706015075
0.982884.3864312989568.5059562170754
0.992915.3920976493675.0839119543425


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = bouwvergunningen ; par5 = werkelijk begonnen woningen ;
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')