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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