Hi team
I am new to R so please help me to do this task.
Please find the attached data sample. But in the original data frame I
have 350 features and 40 observations.
I need to carryout these tasks.
1. How to Identify features (names) that have all zeros?
2. How to remove features that ha
wrote:
>
> > On Mar 30, 2016, at 3:56 PM, Norman Pat wrote:
> >
> > Hi team
> >
> > I am new to R so please help me to do this task.
> >
> > Please find the attached data sample.
>
> No. Nothing attached. Please read the Rhelp Info page an
ooking for, you
> can do something like:
>
> NA9<-X==9
>
> and then "remove" them by replacing those values with NA:
>
> X[NA9]<-NA
>
> Be aware that all these hackles (diminutive of hacks) are pretty
> specific to this example. Also rememb
Hi Team,
Can you please suggest me some good cases where we can use
R programming to tackle predictive maintenance problems
Many thanks
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