Your messages about masking come from attaching your data set to the R session.
In general, that is bad practice as it leads to confusing code. It is typically
better to use the “data” argument in things like lm() to accomplish this task.
As near as I can tell, your second set of predictions is
Your dates have an incomplete year information with 34. R assumes that 00-68
are 2000 to 2068 and 69 to 99 are 1969 to 1999. See ?strptime and the details
for %y.
You can either append “19” to the start of your year variable to make it
completely express the year or check if the date is in the
Barry,
This is mostly a mailing list about R - you have have more luck with
statistical questions on www.stat.stackexchange.com.
That said - the editor is wrong. The limitations of trees that random forests
“solves” is overfitting. The mechanism by which a random forest classifier is
built i
Christofer,
This SO thread may be helpful:
http://stackoverflow.com/questions/33634871/installing-rgl-package-in-r-mac-osx-el-captian-fixed
On Apr 12, 2017, at 12:22 PM, Christofer Bogaso
mailto:bogaso.christo...@gmail.com>> wrote:
Hi again,
I could not load the 'rgl' package with below Erro
Bruce,
`sample` doesn’t appear to be an R package. `resample` installed for me.
`apply` and `sapply` aren’t packages either.
`sample`, `apply` and `sapply` are all functions, however.
> On Apr 10, 2017, at 12:08 PM, BR_email wrote:
>
> Hi Rers:
> Is there anything I can check for as to wh
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