Hi:
I am trying to understand the link between ".csv" and ".rda" files.
Is there any easy to follow tutorial on this?
(I could do some of the operations below, but I got lost in the details.)
1. Reading .rda file ?
data <- load("profit.rda") # supposed to have four variable --y
x1 x2 state_name
--how do I find out about the variable names,
--take the log of y and x1
--extract y and calculate mean etc..
(I want to use it in lm regression lny = f(lnx1,x2))
****************
2. How could I save this profit.rda file as a csv file with the
variable names attached?
I tried doing this:
profit_data <- load("profit.rda")
#Could I do this?
write.csv(profit_data, file="profit.csv", col.names=TRUE)
data2 <- read.csv("profit.csv", head = TRUE)
# saving .rda file without the header?
write.csv(profit_data, file="profit2.csv", col.names=FALSE)
***********
3. Creating a .rda file from a csv file using the save command
data2 <- read.csv("poverty.csv", head = T, sep = ",") # poverty.csv
file has 4 variables -- Q L K country_name
save(data2, file="poverty.rda")
--How do I attach names from the csv file to this .rda file?
Best,
Alok Bohara
UNM
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