R version 2.9.0 (2009-04-17) Copyright (C) 2009 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > z <- c(98.41,85.90,95.82,92.56,94.39,100.13,91.25,80.19,95.15,110.43,85.55,66.89,79.93,79.84,83.36,82.29,73.23,74.60,77.40,67.59,89.97,94.45,85.08,70.70,72.94,77.08,90.35,104.03,90.17,104.79,100.54,83.65,104.52,119.66,104.70,100.89,110.43,103.36,113.46,113.55,106.56,116.52,101.87,111.16,114.62,106.36,124.87,102.46,129.96,141.66,162.42,157.73,177.29,197.46,160.53,146.96,171.94,198.77,191.38,164.02) > y <- c(89.3,90.3,91.1,90.1,86.7,85.1,83.4,82,80.4,81.9,93.8,94.8,92.3,87.5,83.2,82,80.3,81.8,85.1,84.2,84.4,84.5,93.3,93.2,100.3,111.4,114.9,109.5,109.9,105.8,110.8,108.8,116.1,109.8,113.8,113.8,117.4,119.5,122.6,120.7,119,126.1,133.9,138.1,140.4,148.2,148.2,155.9,171.1,171.9,188.8,214.9,228.5,220,225.4,220.7,219.7,232.1,223.5,218.9) > x <- c(101.3,106.3,94,102.8,102,105.1,92.4,81.4,105.8,120.3,100.7,88.8,94.3,99.9,103.4,103.3,98.8,104.2,91.2,74.7,108.5,114.5,96.9,89.6,97.1,100.3,122.6,115.4,109,129.1,102.8,96.2,127.7,128.9,126.5,119.8,113.2,114.1,134.1,130,121.8,132.1,105.3,103,117.1,126.3,138.1,119.5,138,135.5,178.6,162.2,176.9,204.9,132.2,142.5,164.3,174.9,175.4,143) > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > (rho12 <- cor(x, y)) [1] 0.857481 > (rho23 <- cor(y, z)) [1] 0.9269143 > (rho13 <- cor(x, z)) [1] 0.9340625 > (rhoxy_z <- (rho12-(rho13*rho23))/(sqrt(1-(rho13*rho13)) * sqrt(1-(rho23*rho23)))) [1] -0.0620445 > (rhoxz_y <- (rho13-(rho12*rho23))/(sqrt(1-(rho12*rho12)) * sqrt(1-(rho23*rho23)))) [1] 0.7211947 > (rhoyz_x <- (rho23-(rho12*rho13))/(sqrt(1-(rho12*rho12)) * sqrt(1-(rho13*rho13)))) [1] 0.6856127 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Pearson Product Moment Partial Correlation - Ungrouped Data',2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Statistic',1,TRUE) > a<-table.element(a,'Value',1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Correlation r(xy)',header=TRUE) > a<-table.element(a,rho12) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/partial_correlation1.htm','Partial Correlation r(xy.z)',''),header=TRUE) > a<-table.element(a,rhoxy_z) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Correlation r(xz)',header=TRUE) > a<-table.element(a,rho13) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/partial_correlation1.htm','Partial Correlation r(xz.y)',''),header=TRUE) > a<-table.element(a,rhoxz_y) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Correlation r(yz)',header=TRUE) > a<-table.element(a,rho23) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,hyperlink('http://www.xycoon.com/partial_correlation1.htm','Partial Correlation r(yz.x)',''),header=TRUE) > a<-table.element(a,rhoyz_x) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/1ds031258324125.tab") > > > proc.time() user system elapsed 0.194 0.032 0.224