r - Using dplyr to fill in missing values (through a join?) -


i have data frame (df1) has 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 fill values in merging data frame (df2) has 3 of same columns, not of columns 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 retain of information in df1, , input missing values available df2. i'm not familiar of dplyr options yet, tried different 'join' options had no luck. tried use 'merge' in base package still no success. there way (preferably dplyr)?

this solution not stylish, @ least solution.

library(dplyr) library(magrittr)  aux <- df1 %>%    # filter missing values   filter(city == "") %>%   # delete city , statebasedin columns    # not duplicates after join   select(-c(city, statebasedin)) %>%   # inner join second dataframe   inner_join(df2, = "siteid") %>%   # change order of columns   select(siteid, city, statebasedin, lat, lon, var1, var2)  df1 %<>%   # filter rows values not missing   filter(city != "") %>%   # bind auxiliary dataframe   rbind(aux)

results in:

 siteid       city statebasedin lat  lon var1 var2 1    4227   richmond           ky -39 -113    6    0 2    4987  nashville           tn -33  -97    7    0 3    4000     newark           nj -39  -95    8    0 4    4925      miami           fl -40  -99    0    0 5    4437 montgomery           al -32 -117    4    1 6    4053  jonesboro           ar -30  -98    8    1 7    4482     arcata           ca -38  -98    1    1 8    4037   portland           or -31  -95    8    1 9    4020    jackson           ms -35 -112    0    1 10   1787      lusby           md -38 -120    3    0 11   2805 springdale           ar -30 -114    3    1 12   3025  saukville           wi -39  -81    7    1 13   3027  saukville           wi -38 -117    4    0 14   3028  saukville           wi -32  -90    8    0 15   3029  saukville           wi -39 -109    0    1 16   3030  saukville           wi -31 -115    8    0 17   3031     mequon           wi -38  -81    1    1 18   3033     mequon           wi -34 -104    3    0

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