How about making your homeworks yourselfes? lalitha viswanath wrote: > Hi > I have a dataframe which has 3 columns of numeric data > A,B,C each of which has been obtained independent of > the other. > > We are trying to find out, which of A or B cause C > i.e. We are hypothesising that C is the effect and > either A or B, not both is the cause. > > i.e. A causes C and this cause-effect relationship > explains B. > > The data for A contains more noise than that for B. > We are working with around 1000 points. > > I would greatly appreciate any inputs on the best > statistcal approach to tackle this problem. > I am thinking that we can find correlation > coefficients between A and C, and between B and C, but > I am not sure this answers the question. > Also we do not know whether the correlation between > them is linear or non linear. > > Thanks > Lalitha > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > >
______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
