On 13.10.2011 18:28, Matt Shotwell wrote:
Would it be worthwhile to update the read.spss implementation using the
more recent discoveries from the PSPP group?
If there are important features, I think so. Getting code into foreign
is not too trivial. Smaller changes are more likely to be accepted than
a re-implementation which would need really careful and extensive tests.
Note also this won't resolve the underlying problem I described in my
last message.
> I don't mean to copy their code;
Iff the code is reasonable, why not talk to the PSPP people, take the
code and adapt it, given it is GPL'ed.
but to use the ideas in their code. Is anyone working on this? I
wouldn't want the effort to be duplicated.
Not that I know, at least.
Best,
Uwe Ligges
On Thu, 2011-10-13 at 16:22 +0200, Uwe Ligges wrote:
On 11.10.2011 12:07, Smart Guy wrote:
Hi,
I have one doubt about one of the parameter of 'read.spss()' from
'foreign' package.
Here is the syntax :-
read.spss ( file,
use.value.labels = TRUE,
to.data.frame = FALSE,
max.value.labels = Inf,
trim.factor.names = FALSE,
trim_values = TRUE,
reencode = NA,
use.missings = to.data.frame )
In above syntax when I pass *'to.data.frame= FALSE*' it gives me missing
values from SPSS file (that I try to read using read.spss() ). But when I
pass '*to.data.frame = TRUE*' then its not giving me missing values. And
need to get missing values.
According to read.spss() documentation
*to.data.frame : return a data frame?*
I am curious to know, if we pass *'to.data.frame = TRUE*' , is it going to
cause some issue or effect something? I didn't understand the read.spss()
documentation correctly.
Please explain.
Thanks in Advance
An R data.frame cannot represent different kinds of missing values,
since R just has "NA". Therefore, there are two way to import data:
to.data.frame=FALSE will read all the information, but into a format
you will likely have to postprocess to make it conveniently usable.
to.data.frame=TRUE will import into a data.frame, but that cannot
represent all the nuances known from the SPSS representation.
Uwe Ligges
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