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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 19 Oct 2009 14:15:47 -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/2009/Oct/19/t1255983394wvt8xlct9jgqz96.htm/, Retrieved Mon, 29 Apr 2024 23:58:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=48229, Retrieved Mon, 29 Apr 2024 23:58:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSpaarvermogen vd gezinnen
Estimated Impact124

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] [Harrel-Davis] [2009-10-19 20:15:47] [0bdf648420800d03e6dbfbd39fe2311c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
62
64
62
64
64
69
69
65
56
58
53
62
55
60
59
58
53
57
57
53
54
53
57
57
55
49
50
49
54
58
58
52
56
52
59
53
52
53
51
50
56
52
46
48
46
48
48
49
53
48
51
48
50
55
52
53
52
55
53
53
56
54
52
55
54
59
56
56
51
53
52
51
46
49
46
55
57
53
52
53
50
54
53
50
51
52
47
51
49
53
52
45
53
51
48
48
48
48
40
43
40
39
39
36
41
39
40
39
46
40
37
37
44
41
40
36
38
43
42
45
46

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=48229&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=48229&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48229&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
0.0136.22160819387190.474295639224643
0.0236.74291899513750.803712983283962
0.0337.38686055526410.933412785264313
0.0438.00780662775690.922220434139833
0.0538.53914564243090.805865121697262
0.0638.96850003005830.697836295188504
0.0739.32311889625290.668502862193827
0.0839.64504591316230.716992918013475
0.0939.97231488775910.83655305715618
0.140.33488543824651.02685083843518
0.1140.75469396376961.26795647399785
0.1241.24273380264921.51850223477914
0.1341.79565687521371.73148171004538
0.1442.39615505924761.87021510314563
0.1543.01780044638111.91763922554602
0.1643.63205325229731.87737166219837
0.1744.21469876464261.7698566753536
0.1844.74995925956741.62505529932739
0.1945.23167049054311.47401961462518
0.245.66179507368011.34027391004645
0.2146.04720020011231.23447546202058
0.2246.39602001382871.15315976017399
0.2346.71489204417491.08453313510886
0.2447.00784645749991.01691166386261
0.2547.27684225031020.945313437092177
0.2647.52326342233480.87323583947933
0.2747.74942218905020.810078490862077
0.2847.95932765087240.766325976685077
0.2948.15847603602550.748302398811798
0.348.35290715816820.755610676053897
0.3148.54802926599790.781758532482625
0.3248.74768803913880.817588208606512
0.3348.95374045852940.854305349647118
0.3449.16614271629640.885133871372063
0.3549.38339054196830.905910393522315
0.3649.60309954299120.914802194874029
0.3749.82255407140910.911670321143621
0.3850.03912960387850.8978368227142
0.3950.25055987333250.875085036446507
0.450.45505846142650.845656057356156
0.4150.65132183756720.81153494530284
0.4250.83845155245270.774290703728186
0.4351.01584494237340.73485406285856
0.4451.18311108598350.6937625476389
0.4551.34005976684590.651467866467922
0.4651.48677860461250.609158774678039
0.4751.62376434332980.5687563426558
0.4851.75202989374670.533157463136225
0.4951.87309464466910.505196253942372
0.551.98879657386850.486659503246365
0.5152.10093419068120.476878827202224
0.5252.21082678187940.472482367162392
0.5352.31893646430780.468274169370331
0.5452.42469766862320.458748348147412
0.5552.52664400339790.439938745207099
0.5652.62282936648830.410531272741279
0.5752.71144565182440.372336381219294
0.5852.79147827350360.330171676972336
0.5952.86323170745280.290878774412364
0.652.92859706721920.262524931387732
0.6152.99100234506360.252995173347526
0.6253.05505857319440.267598778687809
0.6353.12597354358220.306763882405643
0.6453.20884170139380.36666210660646
0.6553.30793525107760.440863828367735
0.6653.42611984837970.521717033056709
0.6753.56449853759360.601333339073865
0.6853.72234863931060.672519774324036
0.6953.89736028938850.729799771162246
0.754.08612156570590.77005175868078
0.7154.28473967311980.793007599430838
0.7254.48945873670430.800623887035423
0.7354.69714565432870.796716374364281
0.7454.90556673545820.785388416213142
0.7555.11345215718120.770665729149661
0.7655.32041033255930.755427300193674
0.7755.52677848679120.74176449584633
0.7855.73347084468760.731336394965478
0.7955.94183846781090.725419009331764
0.856.15352906359490.724805611005883
0.8156.37035423132940.729271180249414
0.8256.5942157378730.738166931887152
0.8356.82717333592030.751107781243037
0.8457.07174642326890.768990644038212
0.8557.33155576063660.794380416404657
0.8657.61241035258950.832773340155103
0.8757.92378240433020.893870412362273
0.8858.28008947744570.991057743020411
0.8958.70039046729281.13497867658612
0.959.20473909325161.32033472281111
0.9159.80670410136011.51487492863969
0.9260.50461329742491.66432821274067
0.9361.27679626562121.71674429975643
0.9462.08715478024121.64953579777717
0.9562.91157702552831.49030748803939
0.9663.80058157648111.38096551725439
0.9764.94315240423741.64980580447199
0.9866.52143817787072.19860978234498
0.9968.18223987945041.71288621812275

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 36.2216081938719 & 0.474295639224643 \tabularnewline
0.02 & 36.7429189951375 & 0.803712983283962 \tabularnewline
0.03 & 37.3868605552641 & 0.933412785264313 \tabularnewline
0.04 & 38.0078066277569 & 0.922220434139833 \tabularnewline
0.05 & 38.5391456424309 & 0.805865121697262 \tabularnewline
0.06 & 38.9685000300583 & 0.697836295188504 \tabularnewline
0.07 & 39.3231188962529 & 0.668502862193827 \tabularnewline
0.08 & 39.6450459131623 & 0.716992918013475 \tabularnewline
0.09 & 39.9723148877591 & 0.83655305715618 \tabularnewline
0.1 & 40.3348854382465 & 1.02685083843518 \tabularnewline
0.11 & 40.7546939637696 & 1.26795647399785 \tabularnewline
0.12 & 41.2427338026492 & 1.51850223477914 \tabularnewline
0.13 & 41.7956568752137 & 1.73148171004538 \tabularnewline
0.14 & 42.3961550592476 & 1.87021510314563 \tabularnewline
0.15 & 43.0178004463811 & 1.91763922554602 \tabularnewline
0.16 & 43.6320532522973 & 1.87737166219837 \tabularnewline
0.17 & 44.2146987646426 & 1.7698566753536 \tabularnewline
0.18 & 44.7499592595674 & 1.62505529932739 \tabularnewline
0.19 & 45.2316704905431 & 1.47401961462518 \tabularnewline
0.2 & 45.6617950736801 & 1.34027391004645 \tabularnewline
0.21 & 46.0472002001123 & 1.23447546202058 \tabularnewline
0.22 & 46.3960200138287 & 1.15315976017399 \tabularnewline
0.23 & 46.7148920441749 & 1.08453313510886 \tabularnewline
0.24 & 47.0078464574999 & 1.01691166386261 \tabularnewline
0.25 & 47.2768422503102 & 0.945313437092177 \tabularnewline
0.26 & 47.5232634223348 & 0.87323583947933 \tabularnewline
0.27 & 47.7494221890502 & 0.810078490862077 \tabularnewline
0.28 & 47.9593276508724 & 0.766325976685077 \tabularnewline
0.29 & 48.1584760360255 & 0.748302398811798 \tabularnewline
0.3 & 48.3529071581682 & 0.755610676053897 \tabularnewline
0.31 & 48.5480292659979 & 0.781758532482625 \tabularnewline
0.32 & 48.7476880391388 & 0.817588208606512 \tabularnewline
0.33 & 48.9537404585294 & 0.854305349647118 \tabularnewline
0.34 & 49.1661427162964 & 0.885133871372063 \tabularnewline
0.35 & 49.3833905419683 & 0.905910393522315 \tabularnewline
0.36 & 49.6030995429912 & 0.914802194874029 \tabularnewline
0.37 & 49.8225540714091 & 0.911670321143621 \tabularnewline
0.38 & 50.0391296038785 & 0.8978368227142 \tabularnewline
0.39 & 50.2505598733325 & 0.875085036446507 \tabularnewline
0.4 & 50.4550584614265 & 0.845656057356156 \tabularnewline
0.41 & 50.6513218375672 & 0.81153494530284 \tabularnewline
0.42 & 50.8384515524527 & 0.774290703728186 \tabularnewline
0.43 & 51.0158449423734 & 0.73485406285856 \tabularnewline
0.44 & 51.1831110859835 & 0.6937625476389 \tabularnewline
0.45 & 51.3400597668459 & 0.651467866467922 \tabularnewline
0.46 & 51.4867786046125 & 0.609158774678039 \tabularnewline
0.47 & 51.6237643433298 & 0.5687563426558 \tabularnewline
0.48 & 51.7520298937467 & 0.533157463136225 \tabularnewline
0.49 & 51.8730946446691 & 0.505196253942372 \tabularnewline
0.5 & 51.9887965738685 & 0.486659503246365 \tabularnewline
0.51 & 52.1009341906812 & 0.476878827202224 \tabularnewline
0.52 & 52.2108267818794 & 0.472482367162392 \tabularnewline
0.53 & 52.3189364643078 & 0.468274169370331 \tabularnewline
0.54 & 52.4246976686232 & 0.458748348147412 \tabularnewline
0.55 & 52.5266440033979 & 0.439938745207099 \tabularnewline
0.56 & 52.6228293664883 & 0.410531272741279 \tabularnewline
0.57 & 52.7114456518244 & 0.372336381219294 \tabularnewline
0.58 & 52.7914782735036 & 0.330171676972336 \tabularnewline
0.59 & 52.8632317074528 & 0.290878774412364 \tabularnewline
0.6 & 52.9285970672192 & 0.262524931387732 \tabularnewline
0.61 & 52.9910023450636 & 0.252995173347526 \tabularnewline
0.62 & 53.0550585731944 & 0.267598778687809 \tabularnewline
0.63 & 53.1259735435822 & 0.306763882405643 \tabularnewline
0.64 & 53.2088417013938 & 0.36666210660646 \tabularnewline
0.65 & 53.3079352510776 & 0.440863828367735 \tabularnewline
0.66 & 53.4261198483797 & 0.521717033056709 \tabularnewline
0.67 & 53.5644985375936 & 0.601333339073865 \tabularnewline
0.68 & 53.7223486393106 & 0.672519774324036 \tabularnewline
0.69 & 53.8973602893885 & 0.729799771162246 \tabularnewline
0.7 & 54.0861215657059 & 0.77005175868078 \tabularnewline
0.71 & 54.2847396731198 & 0.793007599430838 \tabularnewline
0.72 & 54.4894587367043 & 0.800623887035423 \tabularnewline
0.73 & 54.6971456543287 & 0.796716374364281 \tabularnewline
0.74 & 54.9055667354582 & 0.785388416213142 \tabularnewline
0.75 & 55.1134521571812 & 0.770665729149661 \tabularnewline
0.76 & 55.3204103325593 & 0.755427300193674 \tabularnewline
0.77 & 55.5267784867912 & 0.74176449584633 \tabularnewline
0.78 & 55.7334708446876 & 0.731336394965478 \tabularnewline
0.79 & 55.9418384678109 & 0.725419009331764 \tabularnewline
0.8 & 56.1535290635949 & 0.724805611005883 \tabularnewline
0.81 & 56.3703542313294 & 0.729271180249414 \tabularnewline
0.82 & 56.594215737873 & 0.738166931887152 \tabularnewline
0.83 & 56.8271733359203 & 0.751107781243037 \tabularnewline
0.84 & 57.0717464232689 & 0.768990644038212 \tabularnewline
0.85 & 57.3315557606366 & 0.794380416404657 \tabularnewline
0.86 & 57.6124103525895 & 0.832773340155103 \tabularnewline
0.87 & 57.9237824043302 & 0.893870412362273 \tabularnewline
0.88 & 58.2800894774457 & 0.991057743020411 \tabularnewline
0.89 & 58.7003904672928 & 1.13497867658612 \tabularnewline
0.9 & 59.2047390932516 & 1.32033472281111 \tabularnewline
0.91 & 59.8067041013601 & 1.51487492863969 \tabularnewline
0.92 & 60.5046132974249 & 1.66432821274067 \tabularnewline
0.93 & 61.2767962656212 & 1.71674429975643 \tabularnewline
0.94 & 62.0871547802412 & 1.64953579777717 \tabularnewline
0.95 & 62.9115770255283 & 1.49030748803939 \tabularnewline
0.96 & 63.8005815764811 & 1.38096551725439 \tabularnewline
0.97 & 64.9431524042374 & 1.64980580447199 \tabularnewline
0.98 & 66.5214381778707 & 2.19860978234498 \tabularnewline
0.99 & 68.1822398794504 & 1.71288621812275 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48229&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]36.2216081938719[/C][C]0.474295639224643[/C][/ROW]
[ROW][C]0.02[/C][C]36.7429189951375[/C][C]0.803712983283962[/C][/ROW]
[ROW][C]0.03[/C][C]37.3868605552641[/C][C]0.933412785264313[/C][/ROW]
[ROW][C]0.04[/C][C]38.0078066277569[/C][C]0.922220434139833[/C][/ROW]
[ROW][C]0.05[/C][C]38.5391456424309[/C][C]0.805865121697262[/C][/ROW]
[ROW][C]0.06[/C][C]38.9685000300583[/C][C]0.697836295188504[/C][/ROW]
[ROW][C]0.07[/C][C]39.3231188962529[/C][C]0.668502862193827[/C][/ROW]
[ROW][C]0.08[/C][C]39.6450459131623[/C][C]0.716992918013475[/C][/ROW]
[ROW][C]0.09[/C][C]39.9723148877591[/C][C]0.83655305715618[/C][/ROW]
[ROW][C]0.1[/C][C]40.3348854382465[/C][C]1.02685083843518[/C][/ROW]
[ROW][C]0.11[/C][C]40.7546939637696[/C][C]1.26795647399785[/C][/ROW]
[ROW][C]0.12[/C][C]41.2427338026492[/C][C]1.51850223477914[/C][/ROW]
[ROW][C]0.13[/C][C]41.7956568752137[/C][C]1.73148171004538[/C][/ROW]
[ROW][C]0.14[/C][C]42.3961550592476[/C][C]1.87021510314563[/C][/ROW]
[ROW][C]0.15[/C][C]43.0178004463811[/C][C]1.91763922554602[/C][/ROW]
[ROW][C]0.16[/C][C]43.6320532522973[/C][C]1.87737166219837[/C][/ROW]
[ROW][C]0.17[/C][C]44.2146987646426[/C][C]1.7698566753536[/C][/ROW]
[ROW][C]0.18[/C][C]44.7499592595674[/C][C]1.62505529932739[/C][/ROW]
[ROW][C]0.19[/C][C]45.2316704905431[/C][C]1.47401961462518[/C][/ROW]
[ROW][C]0.2[/C][C]45.6617950736801[/C][C]1.34027391004645[/C][/ROW]
[ROW][C]0.21[/C][C]46.0472002001123[/C][C]1.23447546202058[/C][/ROW]
[ROW][C]0.22[/C][C]46.3960200138287[/C][C]1.15315976017399[/C][/ROW]
[ROW][C]0.23[/C][C]46.7148920441749[/C][C]1.08453313510886[/C][/ROW]
[ROW][C]0.24[/C][C]47.0078464574999[/C][C]1.01691166386261[/C][/ROW]
[ROW][C]0.25[/C][C]47.2768422503102[/C][C]0.945313437092177[/C][/ROW]
[ROW][C]0.26[/C][C]47.5232634223348[/C][C]0.87323583947933[/C][/ROW]
[ROW][C]0.27[/C][C]47.7494221890502[/C][C]0.810078490862077[/C][/ROW]
[ROW][C]0.28[/C][C]47.9593276508724[/C][C]0.766325976685077[/C][/ROW]
[ROW][C]0.29[/C][C]48.1584760360255[/C][C]0.748302398811798[/C][/ROW]
[ROW][C]0.3[/C][C]48.3529071581682[/C][C]0.755610676053897[/C][/ROW]
[ROW][C]0.31[/C][C]48.5480292659979[/C][C]0.781758532482625[/C][/ROW]
[ROW][C]0.32[/C][C]48.7476880391388[/C][C]0.817588208606512[/C][/ROW]
[ROW][C]0.33[/C][C]48.9537404585294[/C][C]0.854305349647118[/C][/ROW]
[ROW][C]0.34[/C][C]49.1661427162964[/C][C]0.885133871372063[/C][/ROW]
[ROW][C]0.35[/C][C]49.3833905419683[/C][C]0.905910393522315[/C][/ROW]
[ROW][C]0.36[/C][C]49.6030995429912[/C][C]0.914802194874029[/C][/ROW]
[ROW][C]0.37[/C][C]49.8225540714091[/C][C]0.911670321143621[/C][/ROW]
[ROW][C]0.38[/C][C]50.0391296038785[/C][C]0.8978368227142[/C][/ROW]
[ROW][C]0.39[/C][C]50.2505598733325[/C][C]0.875085036446507[/C][/ROW]
[ROW][C]0.4[/C][C]50.4550584614265[/C][C]0.845656057356156[/C][/ROW]
[ROW][C]0.41[/C][C]50.6513218375672[/C][C]0.81153494530284[/C][/ROW]
[ROW][C]0.42[/C][C]50.8384515524527[/C][C]0.774290703728186[/C][/ROW]
[ROW][C]0.43[/C][C]51.0158449423734[/C][C]0.73485406285856[/C][/ROW]
[ROW][C]0.44[/C][C]51.1831110859835[/C][C]0.6937625476389[/C][/ROW]
[ROW][C]0.45[/C][C]51.3400597668459[/C][C]0.651467866467922[/C][/ROW]
[ROW][C]0.46[/C][C]51.4867786046125[/C][C]0.609158774678039[/C][/ROW]
[ROW][C]0.47[/C][C]51.6237643433298[/C][C]0.5687563426558[/C][/ROW]
[ROW][C]0.48[/C][C]51.7520298937467[/C][C]0.533157463136225[/C][/ROW]
[ROW][C]0.49[/C][C]51.8730946446691[/C][C]0.505196253942372[/C][/ROW]
[ROW][C]0.5[/C][C]51.9887965738685[/C][C]0.486659503246365[/C][/ROW]
[ROW][C]0.51[/C][C]52.1009341906812[/C][C]0.476878827202224[/C][/ROW]
[ROW][C]0.52[/C][C]52.2108267818794[/C][C]0.472482367162392[/C][/ROW]
[ROW][C]0.53[/C][C]52.3189364643078[/C][C]0.468274169370331[/C][/ROW]
[ROW][C]0.54[/C][C]52.4246976686232[/C][C]0.458748348147412[/C][/ROW]
[ROW][C]0.55[/C][C]52.5266440033979[/C][C]0.439938745207099[/C][/ROW]
[ROW][C]0.56[/C][C]52.6228293664883[/C][C]0.410531272741279[/C][/ROW]
[ROW][C]0.57[/C][C]52.7114456518244[/C][C]0.372336381219294[/C][/ROW]
[ROW][C]0.58[/C][C]52.7914782735036[/C][C]0.330171676972336[/C][/ROW]
[ROW][C]0.59[/C][C]52.8632317074528[/C][C]0.290878774412364[/C][/ROW]
[ROW][C]0.6[/C][C]52.9285970672192[/C][C]0.262524931387732[/C][/ROW]
[ROW][C]0.61[/C][C]52.9910023450636[/C][C]0.252995173347526[/C][/ROW]
[ROW][C]0.62[/C][C]53.0550585731944[/C][C]0.267598778687809[/C][/ROW]
[ROW][C]0.63[/C][C]53.1259735435822[/C][C]0.306763882405643[/C][/ROW]
[ROW][C]0.64[/C][C]53.2088417013938[/C][C]0.36666210660646[/C][/ROW]
[ROW][C]0.65[/C][C]53.3079352510776[/C][C]0.440863828367735[/C][/ROW]
[ROW][C]0.66[/C][C]53.4261198483797[/C][C]0.521717033056709[/C][/ROW]
[ROW][C]0.67[/C][C]53.5644985375936[/C][C]0.601333339073865[/C][/ROW]
[ROW][C]0.68[/C][C]53.7223486393106[/C][C]0.672519774324036[/C][/ROW]
[ROW][C]0.69[/C][C]53.8973602893885[/C][C]0.729799771162246[/C][/ROW]
[ROW][C]0.7[/C][C]54.0861215657059[/C][C]0.77005175868078[/C][/ROW]
[ROW][C]0.71[/C][C]54.2847396731198[/C][C]0.793007599430838[/C][/ROW]
[ROW][C]0.72[/C][C]54.4894587367043[/C][C]0.800623887035423[/C][/ROW]
[ROW][C]0.73[/C][C]54.6971456543287[/C][C]0.796716374364281[/C][/ROW]
[ROW][C]0.74[/C][C]54.9055667354582[/C][C]0.785388416213142[/C][/ROW]
[ROW][C]0.75[/C][C]55.1134521571812[/C][C]0.770665729149661[/C][/ROW]
[ROW][C]0.76[/C][C]55.3204103325593[/C][C]0.755427300193674[/C][/ROW]
[ROW][C]0.77[/C][C]55.5267784867912[/C][C]0.74176449584633[/C][/ROW]
[ROW][C]0.78[/C][C]55.7334708446876[/C][C]0.731336394965478[/C][/ROW]
[ROW][C]0.79[/C][C]55.9418384678109[/C][C]0.725419009331764[/C][/ROW]
[ROW][C]0.8[/C][C]56.1535290635949[/C][C]0.724805611005883[/C][/ROW]
[ROW][C]0.81[/C][C]56.3703542313294[/C][C]0.729271180249414[/C][/ROW]
[ROW][C]0.82[/C][C]56.594215737873[/C][C]0.738166931887152[/C][/ROW]
[ROW][C]0.83[/C][C]56.8271733359203[/C][C]0.751107781243037[/C][/ROW]
[ROW][C]0.84[/C][C]57.0717464232689[/C][C]0.768990644038212[/C][/ROW]
[ROW][C]0.85[/C][C]57.3315557606366[/C][C]0.794380416404657[/C][/ROW]
[ROW][C]0.86[/C][C]57.6124103525895[/C][C]0.832773340155103[/C][/ROW]
[ROW][C]0.87[/C][C]57.9237824043302[/C][C]0.893870412362273[/C][/ROW]
[ROW][C]0.88[/C][C]58.2800894774457[/C][C]0.991057743020411[/C][/ROW]
[ROW][C]0.89[/C][C]58.7003904672928[/C][C]1.13497867658612[/C][/ROW]
[ROW][C]0.9[/C][C]59.2047390932516[/C][C]1.32033472281111[/C][/ROW]
[ROW][C]0.91[/C][C]59.8067041013601[/C][C]1.51487492863969[/C][/ROW]
[ROW][C]0.92[/C][C]60.5046132974249[/C][C]1.66432821274067[/C][/ROW]
[ROW][C]0.93[/C][C]61.2767962656212[/C][C]1.71674429975643[/C][/ROW]
[ROW][C]0.94[/C][C]62.0871547802412[/C][C]1.64953579777717[/C][/ROW]
[ROW][C]0.95[/C][C]62.9115770255283[/C][C]1.49030748803939[/C][/ROW]
[ROW][C]0.96[/C][C]63.8005815764811[/C][C]1.38096551725439[/C][/ROW]
[ROW][C]0.97[/C][C]64.9431524042374[/C][C]1.64980580447199[/C][/ROW]
[ROW][C]0.98[/C][C]66.5214381778707[/C][C]2.19860978234498[/C][/ROW]
[ROW][C]0.99[/C][C]68.1822398794504[/C][C]1.71288621812275[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48229&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48229&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
0.0136.22160819387190.474295639224643
0.0236.74291899513750.803712983283962
0.0337.38686055526410.933412785264313
0.0438.00780662775690.922220434139833
0.0538.53914564243090.805865121697262
0.0638.96850003005830.697836295188504
0.0739.32311889625290.668502862193827
0.0839.64504591316230.716992918013475
0.0939.97231488775910.83655305715618
0.140.33488543824651.02685083843518
0.1140.75469396376961.26795647399785
0.1241.24273380264921.51850223477914
0.1341.79565687521371.73148171004538
0.1442.39615505924761.87021510314563
0.1543.01780044638111.91763922554602
0.1643.63205325229731.87737166219837
0.1744.21469876464261.7698566753536
0.1844.74995925956741.62505529932739
0.1945.23167049054311.47401961462518
0.245.66179507368011.34027391004645
0.2146.04720020011231.23447546202058
0.2246.39602001382871.15315976017399
0.2346.71489204417491.08453313510886
0.2447.00784645749991.01691166386261
0.2547.27684225031020.945313437092177
0.2647.52326342233480.87323583947933
0.2747.74942218905020.810078490862077
0.2847.95932765087240.766325976685077
0.2948.15847603602550.748302398811798
0.348.35290715816820.755610676053897
0.3148.54802926599790.781758532482625
0.3248.74768803913880.817588208606512
0.3348.95374045852940.854305349647118
0.3449.16614271629640.885133871372063
0.3549.38339054196830.905910393522315
0.3649.60309954299120.914802194874029
0.3749.82255407140910.911670321143621
0.3850.03912960387850.8978368227142
0.3950.25055987333250.875085036446507
0.450.45505846142650.845656057356156
0.4150.65132183756720.81153494530284
0.4250.83845155245270.774290703728186
0.4351.01584494237340.73485406285856
0.4451.18311108598350.6937625476389
0.4551.34005976684590.651467866467922
0.4651.48677860461250.609158774678039
0.4751.62376434332980.5687563426558
0.4851.75202989374670.533157463136225
0.4951.87309464466910.505196253942372
0.551.98879657386850.486659503246365
0.5152.10093419068120.476878827202224
0.5252.21082678187940.472482367162392
0.5352.31893646430780.468274169370331
0.5452.42469766862320.458748348147412
0.5552.52664400339790.439938745207099
0.5652.62282936648830.410531272741279
0.5752.71144565182440.372336381219294
0.5852.79147827350360.330171676972336
0.5952.86323170745280.290878774412364
0.652.92859706721920.262524931387732
0.6152.99100234506360.252995173347526
0.6253.05505857319440.267598778687809
0.6353.12597354358220.306763882405643
0.6453.20884170139380.36666210660646
0.6553.30793525107760.440863828367735
0.6653.42611984837970.521717033056709
0.6753.56449853759360.601333339073865
0.6853.72234863931060.672519774324036
0.6953.89736028938850.729799771162246
0.754.08612156570590.77005175868078
0.7154.28473967311980.793007599430838
0.7254.48945873670430.800623887035423
0.7354.69714565432870.796716374364281
0.7454.90556673545820.785388416213142
0.7555.11345215718120.770665729149661
0.7655.32041033255930.755427300193674
0.7755.52677848679120.74176449584633
0.7855.73347084468760.731336394965478
0.7955.94183846781090.725419009331764
0.856.15352906359490.724805611005883
0.8156.37035423132940.729271180249414
0.8256.5942157378730.738166931887152
0.8356.82717333592030.751107781243037
0.8457.07174642326890.768990644038212
0.8557.33155576063660.794380416404657
0.8657.61241035258950.832773340155103
0.8757.92378240433020.893870412362273
0.8858.28008947744570.991057743020411
0.8958.70039046729281.13497867658612
0.959.20473909325161.32033472281111
0.9159.80670410136011.51487492863969
0.9260.50461329742491.66432821274067
0.9361.27679626562121.71674429975643
0.9462.08715478024121.64953579777717
0.9562.91157702552831.49030748803939
0.9663.80058157648111.38096551725439
0.9764.94315240423741.64980580447199
0.9866.52143817787072.19860978234498
0.9968.18223987945041.71288621812275


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')