agpop {ResearchMethods} | R Documentation |
The results from the US 1992 Census of Agriculture
agpop |
A dataset with 3078 entries and 15 variables: |
$county |
County name |
$state |
state abbreviation |
$acres92 |
Number of acres devoted to farms in 1992 (-99=missing) |
acres87 |
Number of acres devoted to farms in 1987 (-99=missing) |
acres82 |
Number of acres devoted to farms in 1982 (-99=missing) |
farms92 |
Number of farms in 1992 (-99=missing) |
farms87 |
Number of farms in 1987 (-99=missing) |
farms82 |
Number of farms in 1982 (-99=missing) |
largef92 |
Number of farms, with 100 acres or more, in 1992 (-99=missing) |
largef87 |
Number of farms, with 100 acres or more, in 1987 (-99=missing) |
largef82 |
Number of farms, with 100 acres or more, in 1982 (-99=missing) |
smallf92 |
Number of farms, with 9 acres or less, in 1992 (-99=missing) |
smallf87 |
Number of farms, with 9 acres or less, in 1987 (-99=missing) |
smallf82 |
Number of farms, with 9 acres or less, in 1982 (-99=missing) |
region |
S=South, W=west, NC=north central, and NE=northeast |
As stated above, a -99 entry indicates a missing value. To replace the missing values with NA, use the example code below.
#to call the dataset data("agpop") #note the quotation marks #to convert the -99's to NA's library(gdata) agpop2 = unknownToNA(agpop,unknown=-99) #it is preferable to save new dataset under a new name