Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
6.30 0.301029996 0.653212514 0 0.819543936 1.62325 3.00 1.00 3.00 14.30 0.491361694 0.812913357 0.544068044 1.033423755 2.07918 2.00 1.00 1.00 9.10 -0.15490196 1.431363764 1.02325246 2.254064453 2.25527 4.00 4.00 4.00 15.80 0.591064607 1.278753601 -1.638272164 -0.522878745 1.54407 1.00 1.00 1.00 10.90 0.556302501 1.447158031 0.51851394 1.408239965 1.79934 1.00 2.00 1.00 8.30 0.146128036 1.698970004 1.717337583 2.643452676 2.36173 1.00 1.00 1.00 11.00 0.176091259 0.84509804 -0.37161107 0.806179974 2.04922 5.00 4.00 4.00 3.20 -0.15490196 1.477121255 2.667452953 2.626340367 2.44871 5.00 5.00 5.00 2.10 0.255272505 1.838849091 3.406028945 3.663040975 2.79518 3.00 5.00 4.00 7.40 0.380211242 0.991226076 0.626853415 1.702430536 1.71600 1.00 1.00 1.00 9.50 0.079181246 1.017033339 -0.698970004 0.698970004 2.07918 2.00 2.00 2.00 3.30 -0.301029996 1.301029996 1.441852176 2.06069784 2.17026 5.00 5.00 5.00 5.70 -0.045757491 0.84509804 -0.124938737 1.089905111 2.35218 2.00 2.00 2.00 7.40 -0.096910013 0.880813592 0.017033339 0.740362689 1.83251 5.00 3.00 4.00 11.00 0.531478917 0.591064607 -0.920818754 0 1.20412 3.00 1.00 2.00 6.60 0.612783857 0.77815125 -0.105130343 0.544068044 1.62325 2.00 2.00 2.00 2.10 -0.096910013 1.662757832 2.716837723 2.8162413 2.52634 5.00 5.00 5.00 17.90 0.301029996 1.380211242 -2 -0.602059991 1.69897 1.00 1.00 1.00 12.80 0.819543936 0.477121255 0.544068044 0.591064607 1.14613 2.00 1.00 1.00 6.10 0.278753601 2 1.792391689 3.120573931 2.42651 1.00 1.00 1.00 6.30 0.322219295 0.544068044 -1.124938737 0.079181246 1.62325 1.00 1.00 1.00 11.90 0.113943352 0.505149978 -1.638272164 -0.397940009 1.27875 4.00 1.00 3.00 13.80 0.748188027 0.698970004 0.230448921 0.799340549 1.07918 2.00 1.00 1.00 15.20 0.255272505 1.079181246 -0.318758763 1.190331698 2.14613 2.00 2.00 2.00 10.00 -0.045757491 1.305351369 1 2.06069784 2.23045 4.00 4.00 4.00 11.90 0.255272505 1.113943352 0.209515015 1.056904851 1.23045 2.00 1.00 2.00 6.50 0.278753601 1.431363764 2.283301229 2.255272505 2.06070 4.00 4.00 4.00 7.50 -0.045757491 1.255272505 0.397940009 1.08278537 1.49136 5.00 5.00 5.00 10.60 0.414973348 0.672097858 -0.552841969 0.278753601 1.32222 3.00 1.00 3.00 8.40 0.079181246 1.462397998 0.832508913 2.252853031 2.21484 2.00 3.00 2.00 4.90 -0.301029996 0.77815125 0.556302501 1.322219295 2.35218 3.00 2.00 3.00 4.70 0.176091259 1.612783857 1.929418926 2.511883361 2.49136 1.00 3.00 1.00 3.20 -0.22184875 1.301029996 1.744292983 2.243038049 2.17898 5.00 5.00 5.00 10.40 0.531478917 0.954242509 -0.995678626 0.602059991 1.44716 5.00 1.00 3.00 5.20 0 1.482873584 2.204119983 2.227886705 2.59329 4.00 5.00 4.00 11.00 0.361727836 0.653212514 -0.045757491 0.414973348 1.77815 2.00 1.00 2.00 4.90 -0.301029996 0.875061263 0.301029996 1.089905111 2.30103 3.00 1.00 3.00 13.20 0.414973348 0.361727836 -0.982966661 0.397940009 1.66276 3.00 2.00 2.00 9.70 -0.22184875 1.380211242 0.622214023 1.763427994 2.32222 4.00 3.00 4.00
Names of X columns:
SWS PS L Wb Wbr Tg P S D
Type of Correlation
pearson
pearson
spearman
kendall
Chart options
Title:
R Code
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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation