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54	46	68
76	69	83
74	55	62
63	78	79
73	58	61
67	34	86
68	67	64
66	45	75
62	68	59
71	49	82
63	19	61
75	72	69
77	59	60
62	46	59
74	56	81
67	45	65
56	53	60
60	67	60
58	73	45
65	46	75
49	70	84
61	38	77
66	54	64
64	46	54
65	46	72
46	45	56
65	47	67
81	25	81
72	63	73
65	46	67
74	69	72
59	43	69
69	49	71
58	39	77
71	65	63
79	54	49
68	50	74
66	42	76
62	45	65
69	50	65
63	55	69
62	38	71
61	40	68
65	51	49
64	49	86
56	39	63
56	57	77
48	30	52
74	51	73
69	48	63
62	56	54
73	66	56
64	72	54
57	28	61
57	52	70
60	53	68
61	70	63
72	63	76
57	46	69
51	45	71
63	68	39
54	54	54
72	60	64
62	50	70
68	66	76
62	56	71
63	54	73
77	72	81
57	34	50
57	39	42
61	66	66
65	27	77
63	63	62
66	65	66
68	63	69
72	49	72
68	42	67
59	51	59
56	50	66
62	64	68
72	68	72
68	66	73
67	59	69
54	32	57
69	62	55
61	52	72
55	34	68
75	63	83
55	48	74
49	53	72
54	39	66
66	51	61
73	60	86
63	70	81
61	40	79
74	61	73
81	35	59
62	39	64
64	31	75
62	36	68
85	51	84
74	55	68
51	67	68
66	40	69

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=par1)
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$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')