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Hi there, I've got a set of 10 numeric variables called Mood1 to Mood10 in a dataset called mood. I'm trying to create a set of 10 new variables called m1 to m10 so that m1=Mood1*1, m2=Mood2*2, etc to m10=Mood10*10 Trawling through the internet, I eventually tried the following code: for (i in 1:10){ assign(x=paste0("mood$m",i),

hi there, I have a dataframe in the shape vA1, vA2,..., vA11, vB1, vB2,..., VB11,......., VP1, VP2,...., VP11 (so 16 times a sequence of 11 variables) I am trying to build a double loop so that i can apply the function (i-1)*v(i) to the first 10 variables, then the same for the next 10 variables, etc... 16 times. I have tried the following with no luck: iscores<-list() for (j in

Hi, suppose I have data from 3 experiments which show conversion as a function of time for different boundary conditions, e.g. pressure, temperature. I want to plot all experiments as conversion over time grouped according to the temperature. However, since I have more than one experiment performed at the same temperature (but different pressures) I end up figuring out which curve belongs