Hi for some data I working on I am merely plotting time against temperature for a variable named filmclip. So for example, I have volunteers who watched various film clips and have used infared camera to monitor the temperature on their face at every second of the clip.
The variable names I have used are Normalised ( for the temperature) and Frame (for the time in seconds). So I have fitted a linear model model<-lm(Normalised~Frame,data=All,subset=((Subject==1)&(Filmclip=="Whatever") and coef(model) gives me an intercept value and a value for the slope. Now what I want to do is find out if the slope is significant or not. So far I just have values such as 0.02211 for example and have no idea if this is to be interpreted as significant or not. Sorry if I haven't been clear but any advice on how to find out what values are significant would be greatly appreciated. -- View this message in context: http://www.nabble.com/Linear-model%2C-finding-the-slope-tp22865254p22865254.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.
