As a follow-up to this issue:
A revised version of the "colorspace" package is now available on R-Forge
at https://R-Forge.R-project.org/R/?group_id=20
This provides a function whitepoint() that can query and/or modify the
whitepoint used in all color conversions within the package. To try it
David
I figured out where I went wrong. But thank you for the response
Jeff
-Original Message-
From: David L Carlson
Sent: Thursday, June 21, 2018 11:43 AM
To: reichm...@sbcglobal.net; R-help@r-project.org
Subject: RE: [R] KNN
It depends on what you are trying to do and what kind of
Yes, however using caret you can do it directly
using the preProcess parameter, e.g. train(y ~., data
= train, method = "knn", preProcess = c("center", "scale")).
Hope this helps.
Eivind
On Thu, 21 Jun 2018, Jeff Reichman wrote:
R-Help
Does one need to normalize ones data is using the
It depends on what you are trying to do and what kind of data you are using. If
you are using Euclidian distance and your variables have different means and
standard deviations, the answer is probably yes. That will weight each variable
equally. Without standardization the variables with the lar
R-Help
Does one need to normalize ones data is using the knn function within the
caret Library.
Jeff
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There are many things you can do to improve speed in R. Byte compiling
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This chapter in Hadley Wickham's excellent Advanced R book covers both
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http://adv-r.had.co.nz/Profiling.html
I've gotten some stunning improvements in speed through profiling
dear members,
I a Day Trader based in INDIA. I use R for my
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returns 4 best stocks for the next day(snlq is the list of 208 stocks and
snlcqn is their names). However, the execution time is aroun
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