Split street address into street number and street name in r - r

Question

I want to split a street address into street name and street number in r.
My input data has a column that reads for example
Street.Addresses
205 Cape Road
32 Albany Street
cnr Kempston/Durban Roads
I want to split the street number and street name into two separate columns, so that it reads:
Street Number Street Name
205 Cape Road
32 Albany Street
cnr Kempston/Durban Roads
Is it in anyway possible to split the numeric value from the non numeric entries in a factor/string in R?
Thank you

Answer 1

you can try:
y <- lapply(strsplit(x, "(?<=\\d)\\b ", perl=T), function(x) if (length(x)<2) c("", x) else x)
y <- do.call(rbind, y)
colnames(y) <- c("Street Number", "Street Name")
hth

Answer 2

I'm sure that someone is going to come along with a cool regex solution with lookaheads and so on, but this might work for you:
X <- c("205 Cape Road", "32 Albany Street", "cnr Kempston/Durban Roads")
nonum <- grepl("^[^0-9]", X)
X[nonum] <- paste0(" \t", X[nonum])
X[!nonum] <- gsub("(^[0-9]+ )(.*)", "\\1\t\\2", X[!nonum])
read.delim(text = X, header = FALSE)
# V1 V2
# 1 205 Cape Road
# 2 32 Albany Street
# 3 NA cnr Kempston/Durban Roads

Answer 3

Here is another way:
df <- data.frame (Street.Addresses = c ("205 Cape Road", "32 Albany Street", "cnr Kempston/Durban Roads"),
stringsAsFactors = F)
new_df <- data.frame ("Street.Number" = character(),
"Street.Name" = character(),
stringsAsFactors = F)
for (i in 1:nrow (df)) {
new_df [i,"Street.Number"] <- unlist(strsplit (df[["Street.Addresses"]], " ")[i])[1]
new_df [i,"Street.Name"] <- paste (unlist(strsplit (df[["Street.Addresses"]], " ")[i])[-1], collapse = " ")
}
> new_df
Street.Number Street.Name
1 205 Cape Road
2 32 Albany Street
3 cnr Kempston/Durban Roads