| write.dbf {foreign} | R Documentation |
The function tries to write a data frame to a DBF file.
write.dbf(dataframe, file, factor2char = TRUE, max_nchar = 254)
dataframe |
a data frame object. |
file |
a file name to be written to. |
factor2char |
logical, default |
max_nchar |
The maximum number of characters allowed in a character field. Strings which exceed this will be truncated with a warning. See Details. |
Dots in column names are replaced by underlines in the DBF file, and names are truncated to 11 characters.
Only vector columns of classes "logical", "numeric",
"integer", "character", "factor" and
"Date" can be written. Other columns should be converted to
one of these.
Maximum precision (number of digits including minus sign and decimal sign) for numeric is 19 - scale (digits after the decimal sign) which is calculated internally based on the number of digits before the decimal sign.
The original DBASE format limited character fields to 254 bytes.
It is said that Clipper and FoxPro can read up to 32K, and it is
possible to write a reader that could accept up to 65535 bytes.
(The documentation suggests that only ASCII characters can be assumed
to be supported.) Readers expecting the older standard (which
includes Excel 2003, Access 2003 and OpenOffice 2.0) will truncate the
field to the maximum width modulo 256, so increase max_nchar
only if you are sure the intended reader supports wider character fields.
Invisible NULL.
Other applications have varying abilities to read the data types used
here. Microsoft Access reads "numeric", "integer",
"character" and "Date" fields, including recognizing
missing values, but not "logical" (read as 0,-1).
Microsoft Excel understood all possible types but did not interpret missing
values in character fields correctly (showing them as character nuls).
Nicholas J. Lewin-Koh, modified by Roger Bivand and Brian Ripley; shapelib by Frank Warmerdam.
http://www.clicketyclick.dk/databases/xbase/format/data_types.html
str(warpbreaks) try1 <- paste(tempfile(), ".dbf", sep = "") write.dbf(warpbreaks, try1, factor2char = FALSE) in1 <- read.dbf(try1) str(in1) try2 <- paste(tempfile(), ".dbf", sep = "") write.dbf(warpbreaks, try2, factor2char = TRUE) in2 <- read.dbf(try2) str(in2) unlink(c(try1, try2))