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.
