I'm trying to import data for multiple rounds using the package "openair". This is the code I'm using
install.packages("devtools")
devtools::install_github("r-lib/conflicted")
#openair
library(openair)
library(tidyverse)
#import
sites_2005_2019 <- importMeta(
source = "aurn",
year = 2005:2019
)
defra_aurn[[y]] <- for (y in 2005:2019) {
importAURN(year = y,
data_type = "daily",
site=sites_2005_2019$code,
meta = TRUE,
save(defra_aurn[[y]], file = "C:/Users/..../defra_aurn.Rdata")
)
}
this gives the error:
Error in save(defra_aurn[[y]], file = "C:/Users/..../defra_aurn[[y]].Rdata") :
object ‘defra_aurn[[y]]’ not found
I've tried putting the save command outside the loop, inside the loop but outside the argument,but I nevertheless get error that object not found.
I cannot simply use 2005:2019 in the argument to import as that would only import sites that were open during the whole period, but I need all available sites in each year, so I think the loop is the only way to go forward.
Would appreciate any help, thanks!
I described the problem in the previous section. Hope that helps, I'd be happy to add more details if needed
adding more details here:
thanks this worked, but unable to save it in r and then write it to stata.
this code is giving error in the last line:
Error in write.dta(defra_aurn, "defra_aurn.dta") :
The object "dataframe" must have class data.frame
To correct this I tried numerous options like
defra_aurn_combined <- do.call(rbind, defra_aurn)
defra_aurn_combined <- bind_rows(defra_aurn)
full_join()
and several variants of these.
I have added some details to the original post One challenge of combining these data frames is that number of sites vary over dates, so either I get errors that numbers of columns of arguments do not match, or the combined data has only sites common to all years, which is not what I'm looking for.