I found a solution. It's probably not the easiest one, but it works. It
assumes that your data frame is ordered from earliest to latest record for
each president, but it can be easily adjusted if you want to make it
dependent on a third column. The final vector index gives you the line
indices for the first record for each president. If you replace min by
max you get the last instead of the first record. You can then find the
values by
##Sample data
president=c(Johnson,Johnson,Johnson,Johnson,Johnson,Johnson,Nix
on,Nixon,Nixon,Nixon,Nixon,Nixon)
approval=c(3,4,5,6,7,8,6,5,4,3,2,1)
tapply(approval,president,mean)
##Find index for first row of each president; assumes ascending order of
observations; change min to max to find last record
index=NULL
for(i in 1:length(unique(president)))
index[i]=min(which((president==unique(president)[i])==TRUE))
index
##Generate table with first approvals
first.approval=data.frame(cbind(index,president[index],approval[index]))
names(first.approval)=c(Index,President,Approval)
first.approval
Cheers,
Daniel
-
cuncta stricte discussurus
-
-Ursprüngliche Nachricht-
Von: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Im
Auftrag von Alexander Ovodenko
Gesendet: Sunday, March 30, 2008 9:47 PM
An: r-help@r-project.org
Betreff: [R] Finding a mean value of a variable holding a dummy
variablefixed
I have time-series data on approval ratings of British Prime Ministers. The
prime ministers dating from MacMillan onward till today are coded as dummy
variables and the approval ratings are entered for each month. I want to
know the mean value of the approval rating of each Prime Minister in the
dataset and the approval rating during his/her first month and last month as
PM. What R code should I enter for these data? In other words, I want hold
the dummy corresponding to each Prime Minister fixed at value one and know
the first rating that PM has, the last rating s/he has, and the mean rating
s/he has. Thanks.
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