I have a data frame (df1) that has some missing values (city, state):
SiteID City StateBasedIn Lat Lon Var1 Var2
4227 Richmond KY -39 -113 6 0
4987 Nashville TN -33 -97 7 0
4000 Newark NJ -39 -95 8 0
4925 Miami FL -40 -99 0 0
4437 Montgomery AL -32 -117 4 1
4053 Jonesboro AR -30 -98 8 1
df1 <- structure(list(SiteID = c(4227L, 4987L, 4000L, 4925L, 4437L,
4053L, 4482L, 4037L, 4020L, 1787L, 2805L, 3025L, 3027L, 3028L,
3029L, 3030L, 3031L, 3033L), City = structure(c(10L, 7L, 8L,
5L, 6L, 4L, 2L, 9L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("",
"Arcata", "Jackson", "Jonesboro", "Miami", "Montgomery", "Nashville",
"Newark", "Portland", "Richmond"), class = "factor"), StateBasedIn = structure(c(6L,
10L, 8L, 5L, 2L, 3L, 4L, 9L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L), .Label = c("", "AL", "AR", "CA", "FL", "KY", "MS", "NJ",
"OR", "TN"), class = "factor"), Lat = c(-39L, -33L, -39L, -40L,
-32L, -30L, -38L, -31L, -35L, -38L, -30L, -39L, -38L, -32L, -39L,
-31L, -38L, -34L), Lon = c(-113L, -97L, -95L, -99L, -117L, -98L,
-98L, -95L, -112L, -120L, -114L, -81L, -117L, -90L, -109L, -115L,
-81L, -104L), Var1 = c(6L, 7L, 8L, 0L, 4L, 8L, 1L, 8L, 0L, 3L,
3L, 7L, 4L, 8L, 0L, 8L, 1L, 3L), Var2 = c(0L, 0L, 0L, 0L, 1L,
1L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 0L)), .Names = c("SiteID",
"City", "StateBasedIn", "Lat", "Lon", "Var1", "Var2"), class = "data.frame", row.names = c(NA,
-18L))
And I would like to fill those values in by merging with another data frame (df2) that has 3 of the same columns, but not all of the columns that are in df1:
SiteID City StateBasedIn
1787 Lusby MD
2805 Springdale AR
3025 Saukville WI
3027 Saukville WI
3028 Saukville WI
3029 Saukville WI
df2 <- structure(list(SiteID = c(1787L, 2805L, 3025L, 3027L, 3028L,
3029L, 3030L, 3031L, 3033L), City = structure(c("Lusby", "Springdale",
"Saukville", "Saukville", "Saukville", "Saukville", "Saukville",
"Mequon", "Mequon"), .Dim = c(9L, 1L)), StateBasedIn = structure(c("MD",
"AR", "WI", "WI", "WI", "WI", "WI", "WI", "WI"), .Dim = c(9L,
1L))), row.names = c(NA, -9L), class = "data.frame", .Names = c("SiteID",
"City", "StateBasedIn"))
So basically I would retain all of the information in df1, and input the missing values that are available from df2. As I'm not too familiar with all of the dplyr options yet, I tried the different 'join' options but had no luck. I also tried to use 'merge' in the base package but still no success. Is there another way to do this (preferably with dplyr)?