I can.
feedback and issues are welcome on https://github.com/bogind/easycsv/issues
--
Regards,
Dror
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e that by removing (some of) this covariance-var related
noise-variance
# I will be able to get effects evaluations that are more "purely" related
to the res.v
# - increasing the levels of significance where there is actual effect)
Thank you for any further help.
dror
---
lution.
Thanks again,
dror
On Sun, Dec 26, 2010 at 3:59 PM, David Winsemius wrote:
>
> On Dec 26, 2010, at 7:42 AM, Dror D Lev wrote:
>
> Dear r helpers,
>>
>> I would like to look at the interaction between two two-level factors, one
>&g
)?
Thank you for any help,
dror
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and provid
rameters
(idata, idesign and icontrasts).
Thanks,
dror
My data set is stored in a data.frame with the following columns:
> names(dat2)
[1] "t.total" "t.err""trial.num""subj"
"present.type"
[6] "ord"
e a more elegant way to do so (i can have much more than 3 rows)?
Thanks,
Dror
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cationNum+maritalStatus+occupation
+relationship+race+sex+capitalGain+capitalLoss
+hoursPerWeek+nativeCountry)
{RF=randomForest(data=adult
,frf
,ntree=200
,mtry=4
,keep.forest=TRUE)
}
pr<-predict(RF,adult[1,],predict.all=TRUE)
"
how can i drop a tree from the forest?
Thanks,
Dror
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of variables tried at each split: 1
Am i doing something wrong? how can i know which of the 300 trees didn't
cast a vote?
Thanks in advance
Dror
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Sent from the R he
Hi,
i'm using randomForest package and i have 2 questions:
1. Can i drop one tree from an RF object?
2. i have a 300 trees forest, but when i use the predict function on new
data (with predict.all=TRUE) i get only 270 votes. did i do something wrong?
Thanks
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Thank you Peter.
nls() & predict() seems to do the job.
dror
-
On Wed, Dec 30, 2009 at 8:10 PM, Peter Ehlers wrote:
> Sounds like you might want to use nls() to fit the data
> and then use either curve() or predict() to do the
> plotting.
>
> -Pete
ke to have separate fits for 'c'
and 'nc'.
Of course this can be achieved using subset() but, as Dennis wrote, some
graphic functions include an option to graph the data by groups.
Thanks again for any tip or reference.
dror
-
On Tue, Dec 29, 2009 at 10:56 PM, jim ho
/ packages.
Thanks in advance,
dror
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2502
0.035 0.4396780 0.2335916 0.1992378 0.1661076
0.045 0.2711094 0.1305614 0.0969594 0.1491294
Is there a way to make brkdn.plot() to present this data?
Thank you,
dror
-----
On Wed, Nov 4, 2009 at 12:21 PM, Dror D Lev wrote:
> Indeed, that seems very co
Indeed, that seems very convenient.
Thanks for your work and for the help.
dror
-
On Wed, Nov 4, 2009 at 12:17 PM, Jim Lemon wrote:
> On 11/04/2009 06:36 PM, Dror D Lev wrote:
>>
>> Thank you Jim.
>>
>> brkdn.plot() seems to be just the func
Thank you Jim.
brkdn.plot() seems to be just the function I need.
Still, I wonder if there are lists of labels of the different measures
of central tendency (mct argument) and measures of dispersion (md)?
dror
-
On Wed, Nov 4, 2009 at 7:41 AM, Jim Lemon wrote
with error bars?
Thanks for any help or comment.
dror
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