There has been some good advice not to lose the labels, but perhaps this
gets you where you seem determined to go?
?read.dta
read.dta(file, convert.dates = TRUE, convert.factors = TRUE,
missing.type = FALSE,
convert.underscore = FALSE, warn.missing.labels = TRUE)
or
library(readstata13)
?read.dta13
read.dta13(file, convert.factors = TRUE, generate.factors = FALSE,
encoding = NULL, fromEncoding = NULL, convert.underscore = FALSE,
missing.type = FALSE, convert.dates = TRUE, replace.strl = FALSE,
add.rownames = FALSE, nonint.factors = FALSE)
Perhaps the convert. factors setting at FALSE?
On 08/27/2016 10:55 AM, Michael Friendly wrote:
On 8/26/2016 11:05 AM, Juan Ceccarelli Arias wrote:
Yep. Im a bit stalled.
I can't find the option to import only the values and drop the value
labels
from the dta file.
Im quite sure R can do that. Then i'd only used the values and i'd
rely on
my memory.
It isn't a bad alternative.
Hint: use str() to see the class of what you've read.
Then try as.data.frame() on the resulting object read from the .dta file.
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