search for: avg2

...2 D (AVG) Where (AVG) is the average of the 10 trials. The above is a simplified case. How can I do this with multiple RT measurements per subject? In other words, the above, but with more than one RT column per subject. Resulting in: Subj List Condition RT1 RT2 RT3 RT4 RT5 2 1 C (AVG1) (AVG2) (AVG2) (AVG2) (AVG2) 3 2 C (AVG1) (AVG2) (AVG2) (AVG2) (AVG2) 2 1 D (AVG1) (AVG2) (AVG2) (AVG2) (AVG2) 3 2 D (AVG1) (AVG2) (AVG2) (AVG2) (AVG2) I've come across the apply and aggregate functions in online documentation, and I have the suspicion that they may be called for here, but their a...

Is this what you want? temp<-c(rep("Low",2),rep("Medium",2),rep("High",2)) light<-rep(c("Dark","light"),3) avg<-dat.avg2[,3] # se<-dat.avg2[,4] dat.avg.temp<-data.frame(cbind(avg,se)) dat.avg.temp<-data.frame(cbind(temp,light,dat.avg.temp)) dat.plot<-qplot(light,avg, fill=factor(temp),data=dat.avg.temp, geom="bar", position="dodge") + scale_fill_discrete("Temp",labels=c('...

Sorry to keep posting but I want to do this right and I'm hoping for some pointers I now have two time series objects which I need to subtract. Unfortunatly the two series dont have the same sample rates. When I try to subtract them avgSub<-avg1-avg2 The time series object is clever enough to object. So I guess I need to write a function for subtraction of the time series objects which will need to interpolate the samples to the same sampling time (this linear interpolation should be ok here) I would like to make this function the default one...

Dear helpers, FYI, I am a beginner of R, just have dealt with MATLAB or JAVA. I want to know how to solve one problem given 4 variables: year_1, year_2, tall_1, tall_2. The tall_1 is measured at year_1 and tall_2 at year_2. The tall has grown up such as uniformly 1 cm/yr. The data is like year_1 year_2 tall_1 tall_2 2007 2010 12 15 1999 2009 6 16 2003 2005 11 13