Try the pairs() function to explore your raw data. This webpage may even give you a nice way to visualize your data:
http://r-epid.blogspot.com/2008/11/correlation-pairs-plot.html -Steve -----Original Message----- From: Francesca Sorbie [mailto:fsor...@hotmail.com] Sent: Saturday, April 14, 2012 6:44 AM To: r-help@r-project.org Subject: [R] master thesis Hi, For my master thesis I have 24 micro-plots on which I did measurements during 3 months. The measurements were: - Rainfall and runoff events throughout 3monts (runoff being dependant on the rainfall, a coefficient (%) has been made per rainfall event and per 3 months) - Soil texture (3 different textures were differentiated) - Slope (3 classes of slopes) - Stoniness (one time measurement) - Random roughness (throughout 3 months) - Land use (crop land or grazing land) - Vegetation cover (throughout 3 months) - Vegetation height (throughout 3 months, only measured on cropland) - Antecedent moisture content (throughout 3 months) Now I would like to investigate the effect of all these variables on the rainfall/runoff. For example does a steeper slope have a larger effect on the runoff than the soil texture? What are the possibilities in R? Thank you for any feedback, Francesca [[alternative HTML version deleted]] ______________________________________________ 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.
