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(96.8,114.1,110.3,103.9,101.6,94.6,95.9,104.7,102.8,98.1,113.9,80.9,95.7,113.2,105.9,108.8,102.3,99,100.7,115.5,100.7,109.9,114.6,85.4,100.5,114.8,116.5,112.9,102,106,105.3,118.8,106.1,109.3,117.2,92.5,104.2,112.5,122.4,113.3,100,110.7,112.8,109.8,117.3,109.1,115.9,96,99.8,116.8,115.7,99.4,94.3,91,93.2,103.1,94.1,91.8,102.7,82.6) > y <- c(100,91.74,84.40,84.40,87.16,88.07,87.16,83.49,81.65,82.57,92.66,94.50,93.58,88.07,84.40,85.32,86.24,86.24,84.40,82.57,82.57,82.57,89.91,91.74,89.91,85.32,82.57,82.57,83.49,83.49,83.49,84.40,80.73,76.15,77.06,74.31,70.64,72.48,72.48,73.39,72.48,69.72,65.14,62.39,59.63,63.30,75.23,79.82,76.15,72.48,68.81,71.56,76.15,77.06,75.23,70.64,66.06,66.97,74.31,77.98) > x <- c(100,95.06,92.59,93.83,96.30,96.30,96.30,92.59,92.59,87.65,92.59,92.59,93.83,95.06,95.06,97.53,100.00,101.23,101.23,101.23,97.53,90.12,85.19,81.48,82.72,85.19,86.42,87.65,88.89,87.65,85.19,86.42,83.95,79.01,82.72,81.48,79.01,77.78,76.54,80.25,83.95,83.95,79.01,75.31,71.60,75.31,88.89,90.12,85.19,75.31,71.60,76.54,87.65,95.06,97.53,95.06,91.36,92.59,98.77,100.00) > #'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] 0.5794307 > (rho23 <- cor(y, z)) [1] -0.2024806 > (rho13 <- cor(x, z)) [1] -0.4069497 > (rhoxy_z <- (rho12-(rho13*rho23))/(sqrt(1-(rho13*rho13)) * sqrt(1-(rho23*rho23)))) [1] 0.5556343 > (rhoxz_y <- (rho13-(rho12*rho23))/(sqrt(1-(rho12*rho12)) * sqrt(1-(rho23*rho23)))) [1] -0.3628767 > (rhoyz_x <- (rho23-(rho12*rho13))/(sqrt(1-(rho12*rho12)) * sqrt(1-(rho13*rho13)))) [1] 0.04475401 > > #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/1fgwx1257945486.tab") > > > > proc.time() user system elapsed 0.204 0.025 0.245