| csv.get {Hmisc} | R Documentation |
Read comma-separated text data files, allowing optional translation to lower case for variable names after making them valid S names.
csv.get(file, lowernames=FALSE, datevars=NULL, dateformat='%F',
fixdates=c('none','year'), comment.char="", autodates=TRUE,
allow=NULL, ...)
file |
the file name for import. |
lowernames |
set this to TRUE to change variable names to
lower case. |
datevars |
character vector of names (after lowernames is
applied) of variables to consider as a factor or character vector
containing dates in a format matching dateformat. The
default is "%F" which uses the yyyy-mm-dd format. |
dateformat |
for cleanup.import is the input format (see
strptime) |
fixdates |
for any of the variables listed in datevars
that have a dateformat that cleanup.import understands,
specifying fixdates allows corrections of certain formatting
inconsistencies before the fields are attempted to be converted to
dates (the default is to assume that the dateformat is followed
for all observation for datevars). Currently
fixdates='year' is implemented, which will cause 2-digit or
4-digit years to be shifted to the alternate number of digits when
dateform is the default "%F" or is "%y-%m-%d",
"%m/%d/%y", or "%m/%d/%Y". Two-digits years are padded with 20
on the left. Set dateformat to the desired format, not the
exceptional format. |
comment.char |
a character vector of length one containing a single character or an empty string. Use '""' to turn off the interpretation of comments altogether. |
autodates |
Set to true to allow function to guess at which variables are dates |
allow |
a vector of characters allowed by R that should not be converted to periods in variable names. By default, underscores in variable names are converted to periods as with R before version 1.9. |
... |
arguments to pass to read.csv. |
csv.get reads comma-separated text data files, allowing optional
translation to lower case for variable names after making them valid S
names. Original possibly non-legal names are taken to be variable
labels. Character or factor variables containing dates can be converted
to date variables. cleanup.import is invoked to finish the
job.
a new data frame.
Frank Harrell, Vanderbilt University
sas.get, data.frame,
cleanup.import, read.csv,
strptime, POSIXct, Date
## Not run:
dat <- read.table('myfile.csv')
dat <- cleanup.import(dat)
## End(Not run)