Hi All,
Are there times when random forests should not be used as a
classification or regression model for determining variable importance.
If so, then is it the properties of the training data that causes the
issue? Are there other classification and regression models better
suited for parti
Hi All,
In the script below, the importance measure for column 4 (ie
MeanDecreaseGini) indicated "Inf" for V7.
Running the getTree command showed that "V7" had been selected at least
twice in one of the trees for Random Forest. So the "Inf" command was
not generated as a result of dividing the s
Hi All,
I read the R-newsletter Volum 2/3, December 2002 on page 18. I tried the
example there, too. Then, I used a different data set with random Forest
from the UCI respository. The results for the "credit" data generated 2
additional columns, column "1" and a column "2" that the example given
Hi All,
My question is in regards to an error generated when using randomForest
in R. Is there a special way to format the data in order to avoid this
error, or am I completely confused on what the error implies?
"Error in randomForest.default(m, y, ...) :
Can not handle categorical predi
.dat")
Andy
From: Melanie Vida
Here is a simple question. Is there a quicker way to write to a file
several rows of data at a time rather than one line at a
time? How can
the code below be optimized to write several rows at a time to a file
rather than one line at a time. See my slow method
Here is a simple question. Is there a quicker way to write to a file
several rows of data at a time rather than one line at a time? How can
the code below be optimized to write several rows at a time to a file
rather than one line at a time. See my slow method of write.table below:
h gave a p-value <<
0.05.
In order to select the outlier threshold, I ended up using the following :
outlier_threshold <- qauntile(x, 3/4) + 1.5* IQR(x)
-Melanie
>
>
> -Original Message-
> From: Melanie Vida [mailto:[EMAIL PROTECTED]
> Sent: Friday, February 2
For a financial data set with large variance, I'm trying to find the
outlier threshold of one variable "x" over a two year period. I
qqplot(x2001, x2002) and found a normal distribution. The latter part of
the normal distribution did not look linear though. Is there a suitable
method in R to fi
For the analysis of financial data wih a large variance, what is the best way
to select an outlier threshold?
Listed below, is there a best method to select an outlier threshold and how
does R calculate it?
In R, how do you find the outlier threshold through an interquartile range?
In R, how d
