Hi Rich,
Richard M. Heiberger wrote:
>
> Dan,
>
> The real problem is the use of csv files. csv files don't handle missing
> values
> ("#VALUE" is most likely from Excel), dates, or other complications very
> well.
>
> Read your Excel file directly into
> R with one of the packages designed
Dan,
The real problem is the use of csv files. csv files don't handle missing
values
("#VALUE" is most likely from Excel), dates, or other complications very
well.
Read your Excel file directly into
R with one of the packages designed specifically for that purpose. I
recommend
RExcel (Windows o
helping matters. I don't even
> understand why R is interpreting these figures as factors in the first
> place, doesn't this imply that any similar data would be interpreted as
> factors?
> Thanks for any further help.
> Robin Williams
> Met Office summer intern - He
Hi Robin,
You haven't said where you're getting the data from. But if the answer
is that you're using read.table, read.csv or similar to read the data
into R, then I advise you to go back to that stage and get it right
from the outset. It's very, very common to see people who are
relatively new to
This seems to be FAQ Q7.10
On Thu, 21 Aug 2008, Williams, Robin wrote:
Hi all,
I am very confused with class.
I am looking at some weather data which I want to use as explanatory
variables in an lm. R has treated these variables as factors (i.e. with
different levels), whereas I want them tre
Williams, Robin metoffice.gov.uk> writes:
>
> Hi all,
> I am very confused with class.
> I am looking at some weather data which I want to use as explanatory
> variables in an lm. R has treated these variables as factors (i.e. with
> different levels), whereas I want them treated as discrete
Hi all,
I am very confused with class.
I am looking at some weather data which I want to use as explanatory
variables in an lm. R has treated these variables as factors (i.e. with
different levels), whereas I want them treated as discretely measured
continuous variables. So I need to reassign t
7 matches
Mail list logo