On 3/12/2006 7:08 PM, Janusz Kawczak wrote:
> However, mean(x)==0.2 returns TRUE
> Also, mean(x)>=(1-0.8) returns TRUE ;)
>
> So, it's not just the approximation calculus.
I don't get your point. On my computer,
> 1-0.8 < 0.2
[1] TRUE
which is consistent with what I wrote below and what you w
However, mean(x)==0.2 returns TRUE
Also, mean(x)>=(1-0.8) returns TRUE ;)
So, it's not just the approximation calculus.
On Sun, 12 Mar 2006, Duncan Murdoch wrote:
> On 3/12/2006 6:39 PM, [EMAIL PROTECTED] wrote:
> > Full_Name: Matthew Davis
> > Version: 2.2.0
> > OS: OS X (10.4.5)
> > Submission
On 3/12/2006 6:39 PM, [EMAIL PROTECTED] wrote:
> Full_Name: Matthew Davis
> Version: 2.2.0
> OS: OS X (10.4.5)
> Submission from: (NULL) (209.107.120.195)
>
>
> the mean of my sample x is 0.2, and when I check mean(x)<=0.2 I get a TRUE
> value, when I check mean(x)<=(1-0.8) I get a FALSE value.
> 0.2==(1-0.8)
[1] FALSE
On Mar 12, 2006, at 15:39 , [EMAIL PROTECTED] wrote:
> Full_Name: Matthew Davis
> Version: 2.2.0
> OS: OS X (10.4.5)
> Submission from: (NULL) (209.107.120.195)
>
>
> the mean of my sample x is 0.2, and when I check mean(x)<=0.2 I get
> a TRUE
> value, when I check mea
Full_Name: Matthew Davis
Version: 2.2.0
OS: OS X (10.4.5)
Submission from: (NULL) (209.107.120.195)
the mean of my sample x is 0.2, and when I check mean(x)<=0.2 I get a TRUE
value, when I check mean(x)<=(1-0.8) I get a FALSE value. (x <- c(0, 1, 0, 0,
0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0
Merging data frames with no by variables does not append suffixes to
column names to keep them unique. Also, shouldn't by=NULL be a
legitimate way to get the "Cartesian product" of two data frames,
instead of getting the error message "'by' must specify columns"?
> df=data.frame(col=1:3)
> On Wed, 08 Mar 2006 14:55:51 +,
> Hin-Tak Leung (HL) wrote:
> roger bos wrote:
>> Indeed, when I was writing code in Java or VBA and I needed code, say to
>> buble sort or invert a CDF, I could find many examples on the web since
>> the user base was so large. R has someth
"Ulrike Grömping" <[EMAIL PROTECTED]> writes:
> > When importing data from SPSS, it is a nice feature of the package
> > foreign that
> > it allows (option use.value.labels=F) to work with the original SPSS
> > codes while
> > keeping the value labels as information in an attribute. Unfortunat
> When importing data from SPSS, it is a nice feature of the package
> foreign that
> it allows (option use.value.labels=F) to work with the original SPSS
> codes while
> keeping the value labels as information in an attribute. Unfortunately,
> after
> merging or subsetting, these attributes
