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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 15 Dec 2008 14:14:33 -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/Dec/15/t12293757073gqm7u7b0sppu00.htm/, Retrieved Wed, 15 May 2024 06:00:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33826, Retrieved Wed, 15 May 2024 06:00:07 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact222

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [] [2008-12-15 21:14:33] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-    D    [Kendall tau Correlation Matrix] [Kendall tau] [2008-12-15 21:19:14] [5e74953d94072114d25d7276793b561e]
-    D      [Kendall tau Correlation Matrix] [verband tussen in...] [2008-12-17 19:07:06] [5e74953d94072114d25d7276793b561e]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8955,50	356,40	966,20	1235,80	40,60	180144,00
10423,90	394,30	1153,20	1147,10	63,60	173666,00
11617,20	410,90	1328,30	1376,90	66,80	165688,00
9391,10	385,90	1144,50	1157,70	71,50	161570,00
10872,00	523,70	1477,10	1506,00	99,40	156145,00
10230,40	439,10	1234,90	1271,30	78,20	153730,00
9221,00	399,30	1119,10	1240,20	57,20	182698,00
9428,60	372,90	1356,90	1408,30	86,50	200765,00
10934,50	483,20	1217,00	1334,60	66,10	176512,00
10986,00	468,70	1440,50	1601,20	75,00	166618,00
11724,60	498,30	1556,60	1566,40	55,00	158644,00
11180,90	434,40	1303,60	1297,50	66,80	159585,00
11163,20	371,60	1421,50	1487,60	41,40	163095,00
11240,90	408,70	1172,50	1320,90	53,30	159044,00
12107,10	444,50	1422,10	1514,00	71,40	155511,00
10762,30	383,00	1263,00	1290,90	68,20	153745,00
11340,40	388,90	1428,10	1392,50	84,10	150569,00
11266,80	385,10	1347,00	1288,20	94,00	150605,00
9542,70	347,20	1224,20	1304,40	91,40	179612,00
9227,70	315,60	1201,30	1297,80	79,90	194690,00
10571,90	300,90	997,80	1211,00	40,70	189917,00
10774,40	371,20	1248,80	1454,00	60,30	184128,00
10392,80	340,30	1268,60	1405,70	49,10	175335,00
9920,20	301,90	1016,70	1160,80	42,00	179566,00
9884,90	327,40	1194,30	1492,10	54,30	181140,00
10174,50	398,60	1181,80	1263,00	39,30	177876,00
11395,40	379,90	1150,70	1376,30	47,80	175041,00
10760,20	379,70	1247,20	1368,60	74,50	169292,00
10570,10	418,40	1260,60	1427,60	78,80	166070,00
10536,00	367,90	1249,30	1339,80	81,40	166972,00
9902,60	362,50	1223,20	1248,30	66,00	206348,00
8889,00	296,70	1153,00	1309,80	88,80	215706,00
10837,30	343,00	1191,50	1424,00	54,40	202108,00
11624,10	488,30	1303,10	1590,50	75,80	195411,00
10509,00	402,50	1267,10	1423,10	51,60	193111,00
10984,90	500,70	1125,20	1355,30	53,00	195198,00
10649,10	412,80	1322,40	1515,00	62,70	198770,00
10855,70	385,90	1089,20	1385,60	52,30	194163,00
11677,40	461,90	1147,30	1430,00	30,50	190420,00
10760,20	357,40	1196,40	1494,20	49,90	189733,00
10046,20	316,90	1190,20	1580,90	53,80	186029,00
10772,80	339,20	1146,00	1369,80	65,30	191531,00
9987,70	372,30	1139,80	1407,50	62,70	232571,00
8638,70	264,80	1045,60	1388,30	55,40	243477,00
11063,70	325,90	1050,90	1478,50	66,20	227247,00
11855,70	324,10	1117,30	1630,40	67,20	217859,00
10684,50	324,30	1120,00	1413,50	42,40	208679,00
11337,40	318,20	1052,10	1493,80	56,30	213188,00
10478,00	323,40	1065,80	1641,30	44,90	216234,00
11123,90	295,90	1092,50	1465,00	30,00	213586,00
12909,30	425,00	1422,00	1725,10	54,40	209465,00
11339,90	337,80	1367,50	1628,40	47,80	204045,00
10462,20	322,70	1136,30	1679,80	63,60	200237,00
12733,50	430,20	1293,70	1876,00	72,50	203666,00
10519,20	403,80	1154,80	1669,40	82,20	241476,00
10414,90	333,70	1206,70	1712,40	67,90	260307,00
12476,80	358,10	1199,00	1768,80	67,80	243324,00
12384,60	426,70	1265,00	1820,50	65,60	244460,00
12266,70	376,00	1247,10	1776,20	78,10	233575,00
12919,90	312,00	1116,50	1693,70	41,60	237217,00
11497,30	349,30	1153,90	1799,10	64,30	235243,00
12142,00	340,30	1077,40	1917,50	55,90	230354,00
13919,40	455,70	1132,50	1887,20	78,30	227184,00
12656,80	352,30	1058,80	1787,80	69,80	221678,00
12034,10	481,40	1195,10	1803,80	59,30	217142,00
13199,70	731,90	1263,40	2196,40	103,60	219452,00
10881,30	382,20	1023,10	1759,50	109,70	256446,00
11301,20	392,80	1141,00	2002,60	76,30	265845,00
13643,90	351,60	1116,30	2056,80	81,80	248624,00
12517,00	276,50	1135,60	1851,10	99,60	241114,00
13981,10	371,30	1210,50	1984,30	100,60	229245,00
14275,70	439,00	1230,00	1725,30	79,90	231805,00
13435,00	394,40	1136,50	2096,60	49,30	219277,00
13565,70	445,50	1068,70	1792,20	62,70	219313,00
16216,30	560,00	1372,50	2029,90	101,30	212610,00
12970,00	331,80	1049,90	1785,30	101,20	214771,00
14079,90	404,20	1302,20	2026,50	83,30	211142,00
14235,00	489,80	1305,90	1930,80	127,80	211457,00
12213,40	323,90	1173,50	1845,50	103,70	240048,00
12581,00	269,40	1277,40	1943,10	91,50	240636,00
14130,40	319,20	1238,60	2066,80	95,10	230580,00
14210,80	337,60	1508,60	2354,40	109,00	208795,00
14378,50	399,50	1423,40	2190,70	132,60	197922,00
13142,80	316,70	1375,10	1929,60	79,50	194596,00

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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33826&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33826&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33826&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'Gwilym Jenkins' @ 72.249.127.135






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Europa , Afrika )0.1759219418312170.0178784722634078
tau( Europa , Amerika )0.1546406557296960.0373224213063887
tau( Europa , Azië )0.5895854313998621.99840144432528e-15
tau( Europa , Oceanïe )0.2576476959010450.000529366338130277
tau( Europa , Werkloosheid )0.2223497369026240.00275422732937836
tau( Afrika , Amerika )0.3098995823420153.01677366598696e-05
tau( Afrika , Azië )0.02926829388785690.693550935272995
tau( Afrika , Oceanïe )0.1068658828350960.150666063850880
tau( Afrika , Werkloosheid )-0.2002869522914130.0070077634806467
tau( Amerika , Azië )0.1032702237521510.164312961371562
tau( Amerika , Oceanïe )0.2642161421725310.000379029756218285
tau( Amerika , Werkloosheid )-0.2581755593803790.000507476907299232
tau( Azië , Oceanïe )0.2825963955410550.000143809006700080
tau( Azië , Werkloosheid )0.4457831325301211.93421345606737e-09
tau( Oceanïe , Werkloosheid )0.1275130077441350.0862862715998693

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Europa , Afrika ) & 0.175921941831217 & 0.0178784722634078 \tabularnewline
tau( Europa , Amerika ) & 0.154640655729696 & 0.0373224213063887 \tabularnewline
tau( Europa , Azië ) & 0.589585431399862 & 1.99840144432528e-15 \tabularnewline
tau( Europa , Oceanïe ) & 0.257647695901045 & 0.000529366338130277 \tabularnewline
tau( Europa , Werkloosheid ) & 0.222349736902624 & 0.00275422732937836 \tabularnewline
tau( Afrika , Amerika ) & 0.309899582342015 & 3.01677366598696e-05 \tabularnewline
tau( Afrika , Azië ) & 0.0292682938878569 & 0.693550935272995 \tabularnewline
tau( Afrika , Oceanïe ) & 0.106865882835096 & 0.150666063850880 \tabularnewline
tau( Afrika , Werkloosheid ) & -0.200286952291413 & 0.0070077634806467 \tabularnewline
tau( Amerika , Azië ) & 0.103270223752151 & 0.164312961371562 \tabularnewline
tau( Amerika , Oceanïe ) & 0.264216142172531 & 0.000379029756218285 \tabularnewline
tau( Amerika , Werkloosheid ) & -0.258175559380379 & 0.000507476907299232 \tabularnewline
tau( Azië , Oceanïe ) & 0.282596395541055 & 0.000143809006700080 \tabularnewline
tau( Azië , Werkloosheid ) & 0.445783132530121 & 1.93421345606737e-09 \tabularnewline
tau( Oceanïe , Werkloosheid ) & 0.127513007744135 & 0.0862862715998693 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33826&T=1

[TABLE]
[ROW][C]Kendall tau rank correlations for all pairs of data series[/C][/ROW]
[ROW][C]pair[/C][C]tau[/C][C]p-value[/C][/ROW]
[ROW][C]tau( Europa , Afrika )[/C][C]0.175921941831217[/C][C]0.0178784722634078[/C][/ROW]
[ROW][C]tau( Europa , Amerika )[/C][C]0.154640655729696[/C][C]0.0373224213063887[/C][/ROW]
[ROW][C]tau( Europa , Azië )[/C][C]0.589585431399862[/C][C]1.99840144432528e-15[/C][/ROW]
[ROW][C]tau( Europa , Oceanïe )[/C][C]0.257647695901045[/C][C]0.000529366338130277[/C][/ROW]
[ROW][C]tau( Europa , Werkloosheid )[/C][C]0.222349736902624[/C][C]0.00275422732937836[/C][/ROW]
[ROW][C]tau( Afrika , Amerika )[/C][C]0.309899582342015[/C][C]3.01677366598696e-05[/C][/ROW]
[ROW][C]tau( Afrika , Azië )[/C][C]0.0292682938878569[/C][C]0.693550935272995[/C][/ROW]
[ROW][C]tau( Afrika , Oceanïe )[/C][C]0.106865882835096[/C][C]0.150666063850880[/C][/ROW]
[ROW][C]tau( Afrika , Werkloosheid )[/C][C]-0.200286952291413[/C][C]0.0070077634806467[/C][/ROW]
[ROW][C]tau( Amerika , Azië )[/C][C]0.103270223752151[/C][C]0.164312961371562[/C][/ROW]
[ROW][C]tau( Amerika , Oceanïe )[/C][C]0.264216142172531[/C][C]0.000379029756218285[/C][/ROW]
[ROW][C]tau( Amerika , Werkloosheid )[/C][C]-0.258175559380379[/C][C]0.000507476907299232[/C][/ROW]
[ROW][C]tau( Azië , Oceanïe )[/C][C]0.282596395541055[/C][C]0.000143809006700080[/C][/ROW]
[ROW][C]tau( Azië , Werkloosheid )[/C][C]0.445783132530121[/C][C]1.93421345606737e-09[/C][/ROW]
[ROW][C]tau( Oceanïe , Werkloosheid )[/C][C]0.127513007744135[/C][C]0.0862862715998693[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33826&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33826&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:

Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Europa , Afrika )0.1759219418312170.0178784722634078
tau( Europa , Amerika )0.1546406557296960.0373224213063887
tau( Europa , Azië )0.5895854313998621.99840144432528e-15
tau( Europa , Oceanïe )0.2576476959010450.000529366338130277
tau( Europa , Werkloosheid )0.2223497369026240.00275422732937836
tau( Afrika , Amerika )0.3098995823420153.01677366598696e-05
tau( Afrika , Azië )0.02926829388785690.693550935272995
tau( Afrika , Oceanïe )0.1068658828350960.150666063850880
tau( Afrika , Werkloosheid )-0.2002869522914130.0070077634806467
tau( Amerika , Azië )0.1032702237521510.164312961371562
tau( Amerika , Oceanïe )0.2642161421725310.000379029756218285
tau( Amerika , Werkloosheid )-0.2581755593803790.000507476907299232
tau( Azië , Oceanïe )0.2825963955410550.000143809006700080
tau( Azië , Werkloosheid )0.4457831325301211.93421345606737e-09
tau( Oceanïe , Werkloosheid )0.1275130077441350.0862862715998693


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method='kendall')
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'tau',1,TRUE)
a<-table.element(a,'p-value',1,TRUE)
a<-table.row.end(a)
n <- length(y[,1])
n
cor.test(y[1,],y[2,],method='kendall')
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste('tau(',dimnames(t(x))[[2]][i])
dum <- paste(dum,',')
dum <- paste(dum,dimnames(t(x))[[2]][j])
dum <- paste(dum,')')
a<-table.element(a,dum,header=TRUE)
r <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,r$estimate)
a<-table.element(a,r$p.value)
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable.tab')