On Fri, 26 Aug 2005 14:44:10 +0200 Sigbert Klinke wrote:
Hi,
I want to compute the quantiles of Chi^2 distributions with different
degrees of freedom like
x-cbind(0.005, 0.010, 0.025, 0.05, 0.1, 0.5, 0.9, 0.95, 0.975, 0.99,
0.995) df-rbind(1:100)
m-qchisq(x,df)
and hoped to get back
On Fri, 2005-08-26 at 14:44 +0200, Sigbert Klinke wrote:
Hi,
I want to compute the quantiles of Chi^2 distributions with different
degrees of freedom like
x-cbind(0.005, 0.010, 0.025, 0.05, 0.1, 0.5, 0.9, 0.95, 0.975, 0.99, 0.995)
df-rbind(1:100)
m-qchisq(x,df)
and hoped to get back
I believe that the following is what you want:
x - c(0.005, 0.010, 0.025, 0.05, 0.1, 0.5, 0.9, 0.95, 0.975, 0.99, 0.995)
dof - 1:100
ans - outer(x, dof, qchisq)
dimnames(ans) - list(x, dof)
Note that 'df' is not a very auspicious name for an object since
it is the name of a function.
Patrick
Marc Schwartz [EMAIL PROTECTED] writes:
x - c(0.005, 0.010, 0.025, 0.05, 0.1, 0.5, 0.9,
0.95, 0.975, 0.99, 0.995)
df - c(1:100)
mat - sapply(x, qchisq, df)
dim(mat)
[1] 100 11
str(mat)
num [1:100, 1:11] 3.93e-05 1.00e-02 7.17e-02 2.07e-01 4.12e-01 ...
outer() is
On Fri, 2005-08-26 at 15:25 +0200, Peter Dalgaard wrote:
Marc Schwartz [EMAIL PROTECTED] writes:
x - c(0.005, 0.010, 0.025, 0.05, 0.1, 0.5, 0.9,
0.95, 0.975, 0.99, 0.995)
df - c(1:100)
mat - sapply(x, qchisq, df)
dim(mat)
[1] 100 11
str(mat)
num [1:100,
Try profiling. Doing this many times to get an overview, e.g. for sapply
with df=1:1000:
% self% total
self secondstotalsecondsname
98.26 6.78 98.26 6.78 FUN
0.58 0.04 0.58 0.04 unlist
0.29 0.02
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Marc
Schwartz (via MN)
Sent: Friday, August 26, 2005 10:26 AM
To: Peter Dalgaard
Cc: r-help@stat.math.ethz.ch
Subject: Re: [R] Matrix oriented computing
On Fri, 2005-08-26 at 15:25
Prof. Ripley,
Excellent point. Neither sapply() nor outer() are the elephant in the
room in this situation.
On Fri, 2005-08-26 at 16:55 +0100, Prof Brian Ripley wrote:
Try profiling. Doing this many times to get an overview, e.g. for sapply
with df=1:1000:
% self%
On 8/26/05, Marc Schwartz (via MN) [EMAIL PROTECTED] wrote:
On Fri, 2005-08-26 at 15:25 +0200, Peter Dalgaard wrote:
Marc Schwartz [EMAIL PROTECTED] writes:
x - c(0.005, 0.010, 0.025, 0.05, 0.1, 0.5, 0.9,
0.95, 0.975, 0.99, 0.995)
df - c(1:100)
mat - sapply(x, qchisq,
