Please could anyone help me?
How can I fit a linear model where an intercept has no sense?
Thanks in advance..
Michael
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I fitted tree growth data with Chapman-Richards growth function using nls.
summary(CR)
Formula: HEIGHT ~ A * (1 - exp(-B * AGE))^C
Parameters:
Estimate Std. Error t value Pr(|t|)
A 29.007627 0.270485 107.24 2e-16 ***
B 0.030813 0.001095 28.13 2e-16 ***
C 1.849405 0.068659
I am wondering if someone could help me out with following problem:
I have written a for loop which generates a random normal distribution
let us say 1000 times.
When the restriction is met (mean0.01), the loop stops, prints
the mean value and plots a histogram.
for(i in 1:1000) {
For all who sent help on topic Classification:
Thank you very much folks.
I have got some inspiration how to solve this task.
Michael
- Original Message -
From: Marc Schwartz [EMAIL PROTECTED]
To: Ing. Michal Kneifl, Ph.D. [EMAIL PROTECTED]
Cc: r-help@stat.math.ethz.ch
Sent: Wednesday
Hi,
I am also a quite new user of R and would like to ask you for help:
I have a data frame where all columns are numeric variables. My aim is
to convert one columnt in factors.
Example:
MD
0.2
0.1
0.8
0.3
0.7
0.6
0.01
0.2
0.5
1
1
I want to make classes:
0-0.2 A
0.21-0.4 B
0.41-0.6 C
. and
Please could you write an example of this command:
table.db-sqlQuery(channel,paste(select * from table))
With real names of .mdb file and table?
Thanks
Michael
- Original Message -
From: Patrick Gonin [EMAIL PROTECTED]
To: Prof Brian Ripley [EMAIL PROTECTED]
Cc: r-help@stat.math.ethz.ch
