Hello,
I'm facing a strange behaviour when I try to run predict function for a
cforest model from party package in CentOS.
It works OK on MacOSX and Ubuntu, but R process is killed when I try it on
CentOS.
I read a dataframe and generate a forest model using cforest from party
package. To reduce
Actually it's highly discouraged to do that, since you lose control of the
number of variables do you have, you spread them in different objects.
It's much wiser to use a vector or a list to do that.
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Hello,
I need to classify (i.e., export a vector with terminal node id's) new cases
using a ctree (party package) model based on different cases (learning
sample).
I tried the where command with the following syntax:
> where(tree, newdata=data2)
expecting to get terminal nodes of data2 cases b
Hello!
I am not familiar to deal with S4 objects in R, so this question can be
stupid, but I hope I can get an answer. :P
I'm trying to extract what are the response and explanatory variables from a
Binary Tree and Random Forest.
I could already extract the response variable from a Binary Tree u
Well, it depends on what mean and sd do you want to calculate.
If it's the mean of the variation or frequency mean and sd from the showed
variables, you should do:
> mean(variation)
> sd(variation)
> mean(frequency)
> sd(frequency)
However, if you want to calculate the mean of variation, taking i
What kind of object it is? How was it generated?
It doesn't have a plot method?
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Hello,
I am having some problems to use the 'merge' function. I'm not sure if I got
its working right.
What I want to do is:
1) Suppose I have a dataframe like:
height width
11.12.3
22.12.5
31.81.9
4
I'm not sure if this solves the problem.
The NA cases are spread into de cases. This solution always returns the NA
cases for the last variables as the last cases.
It's not keeping the same row.names they have in data1.
What I want to do it return exactly the same data1 (cases in the same
order)
Hi everybody,
I got a solution for my problem with Eric Paniagua (many thanks!)! Thank you
a lot everybody!
Paniagua said explained that I was losing row.names when I merged a
data.frame with a factor object (data2$color), because a factor objects
don't have row.names. Instead of merging data1 to
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