Hi all
Can someone assist me in creating a table in SQL Server using a Rdataframe
as well as updating it with new records
Here's my sample script in R.
library(RODBC)
#Connecting to Datum
myconn <-odbcConnect("Datum", uid="bihy", pwd="tarta") ### Server name is
Datum
Now I would like to save
into train and test and do
the fitting and testing on this data set only
In first approach my results might get skewed so which approach should
I take and Why ?
--
Vijay Goel
*+91-7501378852*
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R base function glm() uses Fishers Scoring for MLE, while the glmnet uses the
coordinate descent method to solve the same equation ? Coordinate descent is
more time efficient than Fisher Scoring as fisher scoring calculates the
second order derivative matrix and some other matrix operation which ma
speed column by 1000
So df.1cleaned would look like
NameNetwork. Speed. State
Hartford_CT. HSPA. 1. CT
Can someone help me come up with a loop or a function that loops through all
dataframes and produces all three dataframes
Thanks
Vijay
Sent from
how I would go about this
Vijay
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide
knows how to do item 1 and/or 2
in R or if there is a function that can do this in another language.
Thanks
Vijay
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PLEASE do rea
This is very cool...thanks Hadley. When are you planning to release that
version?
On Thu, Apr 15, 2010 at 9:09 AM, hadley wickham wrote:
> On Thu, Apr 15, 2010 at 1:16 AM, Chuck wrote:
> > Depending on the size of the dataframe and the operations you are
> > trying to perform, aggregate or ddpl
Dennis -- it does! However, how can a more generic situation be handled
where
South,North,East,West are replaced by x2,d6,qqw,mQ respectively? Thanks.
On Wed, Apr 14, 2010 at 11:41 PM, Dennis Murphy wrote:
> Hi:
>
> Does this work for you?
>
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On Nov 2, 2007, at 12:50 PM, Sarah Goslee wrote:
> x <- x[1, drop=FALSE]
>
>> Is there any way to force the result to remain a matrix, even if it
>> has only one row or column, or even only one entry? Thanks,
I think you might have meant ...
x <- x[1,,drop=FALSE]
Note the double commas ...
- VV
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