S Programming by Venables and Ripley (2000) says on page 8, "R objects
have another way to give information using the function
\tttext{typeof}, which often gives the same information as
\tttext{storage.mode}." It implies that there are some differences
between typeof and storage.mode.
However, acc
The following command gives me a plot where the axes are in log scale
but 'x' increases in the right direction.
plot(1:10,1:10, log='xy')
I want to change the plot such that it is still in log scale but 'x'
decreases rather increases in the right direction. I'm wondering if
there is an option to
On Mon, Feb 8, 2010 at 11:13 AM, Hrishi Mittal wrote:
>
> plot(1:10,1:10,log='xy',xlim=c(10,1))
What if I want to use the automatically computed limits? I could use
the following command. But it is not a very clean user interface, as
the user has to compute the min and the max. Is there a way tha
Page 140 of MASS uses the function xyplot. But I don't find it in R.
Is there a package that I should load to use xyplot. Or there is a
function with a different name in R that does the same thing as xyplot
in S.
xyplot(Gas ~ Temp | Insul, whiteside, panel =
function(x, y, ...) {
panel.xyplot(x, y
I have the R code at the end. The last command gives me "1 observation
deleted due to missingness". I don't understand what this error
message. Could somebody help me understand it and how to fix the
problem?
> summary(afit)
Df Sum Sq Mean Sq F value Pr(>F)
A 2 0.328 0
I have difficulties in interpreting high order interaction terms in
high-way ANOVA.
According to Introductory Statistics with R by Peter Dalgaard (Section 12.5),
"The exact definition of the interaction terms and the interpretation of their
associated regression coefficients can be elusive. Some
In ?eval, it says
... If ‘envir’ is not
specified, then the default is ‘parent.frame()’ (the environment
where the call to ‘eval’ was made).
I tried the following example with "eval(expr)" and "eval(expr,
parent.frame())" in f(). The results are different, which are not
consistent w
This is useful. But it is not exactly what I am looking for. I can use
'contrast' to infer linear combination factor level means as discussed
in Statistical Inference by Casella and Berger. What is the equivalent
'contrast' for interaction terms? Is there a book that discuss this?
On Tue, Feb 9, 2
The model matrix for the code at the end the email is shown below.
Since the model matrix doesn't have -1, I think that it is made of
dummy regressors rather than deviation regressors. I'm wondering how
to make a model matrix using deviation regressors. Could somebody let
me know?
> model.matrix(a
I got the following output when I try the code at the end.
> str(attr(terms1, 'variables'))
language list(skips, Panel, Opening)
> class(attr(terms1, 'variables'))
[1] "call"
I checked ?call, where 'call' is a function. Could somebody let me
know what a 'call' class is and what 'language' is?
#
On Tue, Feb 9, 2010 at 6:09 PM, John Fox wrote:
> Dear bluesky315,
>
> There are several ways in R to determine regressors associated with factors.
> One way is to set the global contrasts option. To get "deviation"
> regressors, use options(contrasts=c("contr
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