Select Data According to a Partial Match

Let's say I have the following data frames and want to merge them.

df1 = data.frame(zipcoide=c(90001,90002,90003,66062,90005))

df2 = data.frame(sfc_code=c(900,660,800,400,500,100,300,350,310,450))

SCF Codes are apparently zipcode prefixes and I want to match the sfc_code with the zipcode.

Basically, if I'm given a list of scf codes, I want to select all those zipcodes which have that scf code.

So in this example, I want to end up with


I figure I could use the sqldf package to write a query to select based on " LIKE' %900% " but was looking for something a little more "elegant."



You want to return the all the zipcodes whose first 3 digits appear in your sfc_codes list:

df1[ as.numeric(substr( df1$zipcoide , 1 , 3 ) ) %in% df2$sfc_code , ]
# [1] 90001 90002 90003 66062 90005

Probably not the best example because all zip codes are in that sfc_code list!

But if we remove 660 then we get:

df2 = data.frame(sfc_code=c(900,800,400,500,100,300,350,310,450))
df1[ as.numeric(substr( df1$zipcoide , 1 , 3 ) ) %in% df2$sfc_code , ]
# [1] 90001 90002 90003 90005

Need Your Help

Build target with API level below 14 and v7 appcompat library

android gradle appcompat

Having issues with appcompat-v7 and compileSdkVersion, the app build target is API 10 so I set compileSdkVersion 10 to compile the code safely, as expected it works well with support-v4: the app co...

Flex: Another newbie layout issue using Group, HGroup, and VGroup


If you run the following mxml code, you'll see the MyLabel1 is sitting higher than the other labels (e.g. MyLabel2) and other items on the 2nd row.