Hello, I''ve looked around and I can't seem to find a package to do data
mining in R for a mixture of categorical and numerical attributes.
If you have this data set:
## dummy data
set.seed(123)
dummy <- data.frame(A = sample(paste("tasks",1:100), 1,B =
sample(paste("loads",1:100), 1,
On Mon, Aug 10, 2009 at 1:57 PM, Gavin Simpson wrote:
> On Mon, 2009-08-10 at 13:41 -0400, mmv.listservs wrote:
> > I should give an example
>
> Thanks for that - I just two seconds ago sent a reply to the list
> complaining because you didn't provide one. However, the code
Hi,
Why when I do a summary on a table it cuts off the other variables? It says
Other :58 or Other: 120.
how can I get the summary for all the variables under ServLoad.Task and
Server.Load and Avg. CPU and Max.CPU?
Thanks,
summary(probF)
Reboot.Id ServLoad.Task Server.Load
I should give an example
for(p in 1:100)
{
str <- paste("Task", p, sep=" ")
task_name[p] <- str
}
## first set the random seed so we get the same results
set.seed(123)
## now produce some dummy data
dummy <- data.frame(A = sample(LETTERS[1:4], 100, replace = TRUE),
B =
Gavin Simpson wrote:
> On Mon, 2009-08-10 at 11:17 -0400, mmv.listservs wrote:
> > yy<-poisson2[poisson2$Reboot.Id=="Reboot
> > 2",poisson2$Task.Status=="F",,drop=FALSE]
>
> The above doesn't make any sense and can't be working or doing what
yy<-poisson2[poisson2$Reboot.Id=="Reboot
2",poisson2$Task.Status=="F",,drop=FALSE]
doesn't work either? Any other ideas?
On Mon, Aug 10, 2009 at 11:01 AM, mmv.listservs wrote:
> How do you access all the column attributes associated with a column reboo
How do you access all the column attributes associated with a column reboot
instance?
The variables
poisson2 ~ a matrix with 10,000 rows and 8 column attributes.
Things I tried:
This command only returns a vector for one of the column attributes
x1_prob <- poisson2$Probability[poisson2$Reboot.
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