help with calculation from dataframe with multiple entries per sample
HI, Modified version of my earlier solution: res1<-tapply(mydata$Mass,mydata$Sample,FUN=function(x) (x[3]-x[2])) res2<-data.frame(Sample=names(res1),Gain2_3=res1) ?merge(mydata,res2) #Sample Time Mass Gain2_3 #1????? 1??? 1? 3.0???? 0.3 #2????? 1??? 2? 3.1???? 0.3 #3????? 1??? 3? 3.4???? 0.3 #4????? 2??? 1? 4.0???? 0.1 #5????? 2??? 2? 4.3???? 0.1 #6????? 2??? 3? 4.4???? 0.1 #7????? 3??? 1? 3.0???? 0.3 #8????? 3??? 2? 3.2???? 0.3 #9????? 3??? 3? 3.5???? 0.3 A.K. ----- Original Message ----- From: Julie Lee-Yaw <julleeyaw at yahoo.ca> To: "r-help at r-project.org" <r-help at r-project.org> Cc: Sent: Monday, September 17, 2012 7:15 PM Subject: [R] help with calculation from dataframe with multiple entries per sample Hi? I have a dataframe similar to:
Sample<-c(1,1,1,2,2,2,3,3,3)
Time<-c(1,2,3,1,2,3,1,2,3)
Mass<-c(3,3.1,3.4,4,4.3,4.4,3,3.2,3.5)
mydata<-as.data.frame(cbind(Sample,Time,Mass))
? Sample Time Mass 1 ? ? ?1 ? ?1 ?3.0 2 ? ? ?1 ? ?2 ?3.1 3 ? ? ?1 ? ?3 ?3.4 4 ? ? ?2 ? ?1 ?4.0 5 ? ? ?2 ? ?2 ?4.3 6 ? ? ?2 ? ?3 ?4.4 7 ? ? ?3 ? ?1 ?3.0 8 ? ? ?3 ? ?2 ?3.2 9 ? ? ?3 ? ?3 ?3.5 where for each sample, I've measured mass at different points in time.? I now want to calculate the difference between Mass at Time 2 and 3 for each unique Sample and store this as a new variable called "Gain2-3". So in my example three values of 0.3,0.1,0.3 would be calculated for my three unique samples and these values would be repeated in the table according to Sample. I am thus expecting:
mydata #after adding new variable
? Sample Time MassGain2-3 1 ? ? ?1 ? ?1 ?3.00.3 2 ? ? ?1 ? ?2 ?3.1 0.3 3 ? ? ?1 ? ?3 ?3.4 0.3 4 ? ? ?2 ? ?1 ?4.0 0.1 5 ? ? ?2 ? ?2 ?4.3 0.1 6 ? ? ?2 ? ?3 ?4.4 0.1 7 ? ? ?3 ? ?1 ?3.0 0.3 8 ? ? ?3 ? ?2 ?3.2 0.3 9 ? ? ?3 ? ?3 ?3.5 0.3 Does anyone have any suggestions as to how to do this? I've looked at the various apply functions but I can't seem to make anything work. I'm fairly new to R and would appreciate specific suggestions.? Thanks! ??? [[alternative HTML version deleted]] ______________________________________________ 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.