Hey all,
I'm trying to replicate some plots with ggplot2. The problem is that I
need to specify the color for every
attribute (drug). If I use the code below the colors get automatically
assigned but I need to plot drug1 in black drug2 in blue
etc.
How do I do that?
q = qplot(days,vol,data = cell
Hello all,
I'm working mostly with machine learning code in R and looking for a structured
way to check if my code is working properly.
For example if I train a classifier on some data. How do I know if the
good / bad results
are related to the data are not just an programming error that I
introd
ot;svm"
>
> For understanding what c does in your case:
>
> c(list(first=1, second=2), list(third=3, fourth=4))
> # compare this with list(list(first=1, second=2), list(third=3, fourth=4))
>
> Kenn
>
> On Tue, May 31, 2011 at 4:43 PM, Immanuel B wrote:
>> Hell
Hello all,
I'm trying to store some objects (class = "svm") , but if I use a list
the objects get somehow converted and I can't retrieve them as objects
of type "svm".
So how to I properly store objects of that kind?
best regards
---
library(e1071)
data(iris)
attach(iris)
## classifica
Hello all,
I'm working with the svm (libsvm) implementation from library(e1071).
Currently I'm trying to extend recursive feature elimination (R-SMV) to
work with multiclass classification.
My problem is that if I run svm for a 3 class problem I get a 2-D vector
back from
model$coefs, can someon
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