I used the assign() function to create 20 data frames and assign them with content using read.csv() and a for loop like follows
data_names=paste0("data_",countries$country)
for (i in 1:dim(data_names)[1])
{
assign(data_names[i], read.csv(file=files[i],
header = TRUE,
sep = ',',
colClasses=rep("character",16),
na.strings='NULL'
))
}
Where countries$country is a vector of 20 different names of countries.
Now, for each of these data frames, I want to convert columns 5 to 14 to integer. Manually, I would do like this:
data_russia [,5:14]<- sapply(data_russia [,5:14],as.integer)
data_belarus [,5:14]<- sapply(data_belarus [,5:14],as.integer)
data_philippines [,5:14]<- sapply(data_philippines[,5:14],as.integer)
data_srilanka [,5:14]<- sapply(data_srilanka [,5:14],as.integer)
data_germany [,5:14]<- sapply(data_germany [,5:14],as.integer)
data_serbia [,5:14]<- sapply(data_serbia [,5:14],as.integer)
data_croatia [,5:14]<- sapply(data_croatia [,5:14],as.integer)
data_libya [,5:14]<- sapply(data_libya [,5:14],as.integer)
data_burma [,5:14]<- sapply(data_burma [,5:14],as.integer)
data_algeria [,5:14]<- sapply(data_algeria [,5:14],as.integer)
data_bosnia [,5:14]<- sapply(data_bosnia [,5:14],as.integer)
data_bulgaria [,5:14]<- sapply(data_bulgaria [,5:14],as.integer)
data_iraq [,5:14]<- sapply(data_iraq [,5:14],as.integer)
data_hungary [,5:14]<- sapply(data_hungary [,5:14],as.integer)
data_greece [,5:14]<- sapply(data_greece [,5:14],as.integer)
data_usa [,5:14]<- sapply(data_usa [,5:14],as.integer)
data_vietnam [,5:14]<- sapply(data_vietnam [,5:14],as.integer)
data_ukraine [,5:14]<- sapply(data_ukraine [,5:14],as.integer)
data_france [,5:14]<- sapply(data_france [,5:14],as.integer)
data_egypt [,5:14]<- sapply(data_egypt [,5:14],as.integer)
How would you perform the same action sequentially over the names of countries?
Thanks in Advance for your pieces of advice!