Hi I'm hoping someone can help me I am a relative newbie to R.
I have data that is in a similar format to this... Experiment Score1 Score2 X -0.85 -0.02 X -1.21 -0.02 X 1.05 0.09 Y -1.12 -0.07 Y -0.27 -0.07 Y -0.93 -0.08 Z 1.1 -0.03 Z 2.4 0.09 Z -1.0 0.09 Now I can easily have a look at the overall correlation of score 1 and 2 by doing this plot(data[,2], data[,3]) or fit <- lm(data[,2] ~ data[,3] BUT! I really want to look at the correlations within each experiment type so ideally a multiple plot per page of each correlation within an experiment - and/or a way of looping through the data to get the simple linear regression for each experiment for scores 1 and 2. This looks like an easy example but I have thousands of results so it would be really hand to find away of doing this quickly!! Let me know if you need more explaining... E -- View this message in context: http://n4.nabble.com/Mutliple-sets-of-data-in-one-dataset-Need-a-loop-tp1018503p1018503.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
