rcolumnheader

How to change the first row to be the header in R?


I have the following table:

     X.5       X.6       X.7       X.8          X.9 X.10         X.11  X.12   X.13
17   Zip CuCurrent PaCurrent PoCurrent      Contact  Ext          Fax email Status
18  74136         0         1         0 918-491-6998    0 918-491-6659            1
19  30329         1         0         0 404-321-5711                              1
20  74136         1         0         0 918-523-2516    0 918-523-2522            1
21  80203         0         1         0 303-864-1919    0                         1
22  80120         1         0         0 345-098-8890  456                         1

how can make the first row 'zip, cucurrent, pacurrent...' to be the column header?

Thanks,

below is dput(dat)

structure(list(X.5 = structure(c(26L, 14L, 6L, 14L, 17L, 16L), .Label = c("", 
"1104", "1234 I don't know Ave.", "139.98", "300 Morgan St.", 
"30329", "312.95", "4101 S. 4th Street, Traff", "500 Highway 89 North", 
"644.04", "656.73", "72160", "72336-7000", "74136", "75501", 
"80120", "80203", "877.87", "Address1", "BZip", "General Svcs Admin (WPY)", 
"InvFileName2", "LDC_Org_Cost", "N/A", "NULL", "Zip"), class = "factor"), 
    X.6 = structure(c(7L, 2L, 3L, 3L, 2L, 3L), .Label = c("", 
    "0", "1", "301 7th St. SW", "800-688-6160", "Address2", "CuCurrent", 
    "Emergency", "LDC_Cost_Adj", "Mtelemetry", "N/A", "NULL", 
    "Suite 1402"), class = "factor"), X.7 = structure(c(8L, 3L, 
    2L, 2L, 3L, 2L), .Label = c("", "0", "1", "Address3", "Cucustomer", 
    "LDC_Misc_Fee", "NULL", "PaCurrent", "Room 7512"), class = "factor"), 
    X.8 = structure(c(14L, 2L, 2L, 2L, 2L, 2L), .Label = c("", 
    "0", "100.98", "237.02", "242.33", "335.04", "50.6", "City", 
    "Durham", "LDC_FinalVolume", "Leavenwoth", "Pacustomer", 
    "Petersburg", "PoCurrent", "Prescott", "Washington"), class = "factor"), 
    X.9 = structure(c(18L, 16L, 10L, 17L, 7L, 9L), .Label = c("", 
    "0", "1", "139.98", "20024", "27701", "303-864-1919", "312.95", 
    "345-098-8890", "404-321-5711", "644.04", "656.73", "66048", 
    "86313", "877.87", "918-491-6998", "918-523-2516", "Contact", 
    "LDC_FinalCost", "PoCustomer", "Zip"), class = "factor"), 
    X.10 = structure(c(14L, 2L, 1L, 2L, 2L, 9L), .Label = c("", 
    "0", "2.620194604", "2.710064788", "2.717239052", "2.766403162", 
    "202-708-4995", "3.09912854", "456", "804-504-7200", "913-682-2000", 
    "919-956-5541", "928-717-7472", "Ext", "InvoicesNeeded", 
    "LDC_UnitPrice", "NULL", "Phone"), class = "factor"), X.11 = structure(c(7L, 
    4L, 1L, 5L, 1L, 1L), .Label = c("", " ", "1067", "918-491-6659", 
    "918-523-2522", "Ext", "Fax", "InvoiceMonths", "LDC_UnitPrice_Original", 
    "NULL", "x2951"), class = "factor"), X.12 = structure(c(13L, 
    1L, 1L, 1L, 1L, 1L), .Label = c("", "0", "100.98", "202-401-3722", 
    "237.02", "242.33", "335.04", "50.6", "716- 344-3303", "804-504-7227", 
    "913- 758-4230", "919- 956-7152", "email", "Fax", "GSA", 
    "Supp_Vol"), class = "factor"), X.13 = structure(c(10L, 2L, 
    2L, 2L, 2L, 2L), .Label = c("", "1", "15", "202-497-6164", 
    "3", "804-504-7200", "Emergency", "MajorTypeId", "NULL", 
    "Status", "Supp_Vol_Adj"), class = "factor")), .Names = c("X.5", 
"X.6", "X.7", "X.8", "X.9", "X.10", "X.11", "X.12", "X.13"), row.names = 17:22, class = "data.frame")

Solution

  • If you don't want to re-read the data into R (which it seems like you don't from the comments), you can do the following. I had to add some zeros to get your data to read completely, so disregard those.

    dat
    ##       V2        V3        V4        V5           V6  V7           V8    V9    V10
    ## 17   Zip CuCurrent PaCurrent PoCurrent      Contact Ext          Fax email Status
    ## 18 74136         0         1         0 918-491-6998   0 918-491-6659     0      1
    ## 19 30329         1         0         0 404-321-5711   0            0     0      1
    ## 20 74136         1         0         0 918-523-2516   0 918-523-2522     0      1
    ## 21 80203         0         1         0 303-864-1919   0            0     0      1
    ## 22 80120         1         0         0 345-098-8890 456            0     0      1
    

    First take the first row as the column names. Next remove the first row. Finish it off by converting the columns to their appropriate types.

    names(dat) <- as.matrix(dat[1, ])
    dat <- dat[-1, ]
    dat[] <- lapply(dat, function(x) type.convert(as.character(x)))
    dat
    ##     Zip CuCurrent PaCurrent PoCurrent      Contact Ext          Fax email Status
    ## 1 74136         0         1         0 918-491-6998   0 918-491-6659     0      1
    ## 2 30329         1         0         0 404-321-5711   0            0     0      1
    ## 3 74136         1         0         0 918-523-2516   0 918-523-2522     0      1
    ## 4 80203         0         1         0 303-864-1919   0            0     0      1
    ## 5 80120         1         0         0 345-098-8890 456            0     0      1