Hello,
It would be better if you post a data example. Like this, I will make up
one. I'm not sure I understand the question, but if you want to change
your data from long to wide format there are several ways of doing it.
# Make up some data
dat <- data.frame(
year = rep(1:2, each = 3),
country = rep(letters[1:3], 2),
value = rnorm(6))
# Now in wide format
reshape(dat, idvar = "year", timevar = "country", direction = "wide")
# Using package reshape2
#install.packages("reshape2", dependencies = TRUE) # do this only once
library(reshape2) # load it into the R session
dcast(dat, year ~ country)
Hope this helps,
Rui Barradas
Em 13-07-2013 12:30, serena masino escreveu:
Hi,
I am new to R and am a STATA user. I am using R as I need the np package to
perform a local linear non parametric regression on a panel data of
countries. My data contains 138 countries, each observed for 31 years, from
1981 to 2011.
I am aware of the panel package in R which sets the data in panel format
telling R which one is the "id" and which one is the "time" variable. I am
not sure however what to use to set the data into a panel format when using
the np package.
What I have done so far was to
read.csv ("C:/folder/filename.csv")
then i explore it
str(filename)
and my country variable appears as a "factor", which I think is good right?
Because it means that is a string to which R has attached a value.Year
instead appears as "int".
Now, how can I tell R that the data has repeated country cross sections for
31 years and so that the data should be treated as a panel of 138 countries
observed each for 31 consecutive years?
Many Thanks in advance for your help, and apologies if this is a very basic
question, I have tried looking it up in a number of places but all I came
by was the panel package instructions and I am not sure whether they can
transfer to the np package too.
Best,
Serena
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