Question

我有一个名为MASTER的Excel文件，我有一个列名称状态。

州名是缩写和全名的混合。我希望将所有全名转换为缩写。我试过这段代码，但我不知道我做错了什么：

rpm_package 'MyService' do
   action :remove
end

Answer 1

这可以帮助您入门，并希望在此过程中说明一些概念：

master <- c(
  "CALIFORNIA", "ARIZONA", "ARKANSAS", "colorado", "CONNECTICUT", "DISTRICT OF COLUMBIA", 
  "FLORIDA", "Georgia", "hawaii", "Illinois", "Indiana", "Iowa", "kansas", "Kentucky", 
  "LOUISIANA", "Maine", "Marryland", "Massachusetts", "Michigan", "Minnesota", "Missouri", 
  "MONTANA", "NEBRASKA", "Nevada", "New Hampshire", "New Jersey", "NEW MEXICO", "New York", 
  "North Carolina", "OHIO", "OKLAHOMA", "Oregon", "palmer", "PANAMA", "Pennsylvania", 
  "SOUTH CAROLINA", "SOUTH DAKOTA", "Tejas", "Tennessee", "Texas", "TX.", "UTAH", 
  "Virgin Islands", "VIRGINIA", "Washington", "West Virginia", "WISCONSIN", "Wyoming"
)

(master_low <- tolower(master))
##  [1] "california"           "arizona"              "arkansas"            
##  [4] "colorado"             "connecticut"          "district of columbia"
##  [7] "florida"              "georgia"              "hawaii"              
## [10] "illinois"             "indiana"              "iowa"                
## [13] "kansas"               "kentucky"             "louisiana"           
## [16] "maine"                "marryland"            "massachusetts"       
## [19] "michigan"             "minnesota"            "missouri"            
## [22] "montana"              "nebraska"             "nevada"              
## [25] "new hampshire"        "new jersey"           "new mexico"          
## [28] "new york"             "north carolina"       "ohio"                
## [31] "oklahoma"             "oregon"               "palmer"              
## [34] "panama"               "pennsylvania"         "south carolina"      
## [37] "south dakota"         "tejas"                "tennessee"           
## [40] "texas"                "tx."                  "utah"                
## [43] "virgin islands"       "virginia"             "washington"          
## [46] "west virginia"        "wisconsin"            "wyoming"

state_tbl <- setNames(state.abb, tolower(state.name))

data.frame(
  orig = master,
  lower = master_low,
  abbrev = state_tbl[master_low],
  stringsAsFactors = FALSE
)
##                    orig                lower abbrev
## 1            CALIFORNIA           california     CA
## 2               ARIZONA              arizona     AZ
## 3              ARKANSAS             arkansas     AR
## 4              colorado             colorado     CO
## 5           CONNECTICUT          connecticut     CT
## 6  DISTRICT OF COLUMBIA district of columbia   <NA>
## 7               FLORIDA              florida     FL
## 8               Georgia              georgia     GA
## 9                hawaii               hawaii     HI
## 10             Illinois             illinois     IL
## 11              Indiana              indiana     IN
## 12                 Iowa                 iowa     IA
## 13               kansas               kansas     KS
## 14             Kentucky             kentucky     KY
## 15            LOUISIANA            louisiana     LA
## 16                Maine                maine     ME
## 17            Marryland            marryland   <NA>
## 18        Massachusetts        massachusetts     MA
## 19             Michigan             michigan     MI
## 20            Minnesota            minnesota     MN
## 21             Missouri             missouri     MO
## 22              MONTANA              montana     MT
## 23             NEBRASKA             nebraska     NE
## 24               Nevada               nevada     NV
## 25        New Hampshire        new hampshire     NH
## 26           New Jersey           new jersey     NJ
## 27           NEW MEXICO           new mexico     NM
## 28             New York             new york     NY
## 29       North Carolina       north carolina     NC
## 30                 OHIO                 ohio     OH
## 31             OKLAHOMA             oklahoma     OK
## 32               Oregon               oregon     OR
## 33               palmer               palmer   <NA>
## 34               PANAMA               panama   <NA>
## 35         Pennsylvania         pennsylvania     PA
## 36       SOUTH CAROLINA       south carolina     SC
## 37         SOUTH DAKOTA         south dakota     SD
## 38                Tejas                tejas   <NA>
## 39            Tennessee            tennessee     TN
## 40                Texas                texas     TX
## 41                  TX.                  tx.   <NA>
## 42                 UTAH                 utah     UT
## 43       Virgin Islands       virgin islands   <NA>
## 44             VIRGINIA             virginia     VA
## 45           Washington           washington     WA
## 46        West Virginia        west virginia     WV
## 47            WISCONSIN            wisconsin     WI
## 48              Wyoming              wyoming     WY

使用R将州名改为缩写

1 个答案: