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.
Melissa2k9 wrote:> 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.See ?lm and ?summary.lm and try the examples. Uwe Ligges
I'm not sure what you are doing when you "Normalize." Would you explain? To see if the slope is significant, look at the model summary, in your example: summary(model) Charles Annis, P.E. Charles.Annis at StatisticalEngineering.com phone: 561-352-9699 eFax: 614-455-3265 http://www.StatisticalEngineering.com -----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Melissa2k9 Sent: Friday, April 03, 2009 5:51 AM To: r-help at r-project.org Subject: [R] Linear model, finding the slope 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=="Whateve r") 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 at 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.